Powered by Deep Web Technologies
Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Susanville District Heating District Heating Low Temperature...  

Open Energy Info (EERE)

Susanville District Heating District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Susanville District Heating District Heating Low Temperature...

2

Geothermal district heating systems  

SciTech Connect (OSTI)

Ten district heating demonstration projects and their present status are described. The projects are Klamath County YMCA, Susanville District Heating, Klamath Falls District Heating, Reno Salem Plaza Condominium, El Centro Community Center Heating/Cooling, Haakon School and Business District Heating, St. Mary's Hospital, Diamond Ring Ranch, Pagosa Springs District Heating, and Boise District Heating.

Budney, G.S.; Childs, F.

1982-01-01T23:59:59.000Z

3

Pagosa Springs District Heating District Heating Low Temperature...  

Open Energy Info (EERE)

Pagosa Springs District Heating District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Pagosa Springs District Heating District Heating Low...

4

Boise City Geothermal District Heating District Heating Low Temperatur...  

Open Energy Info (EERE)

Boise City Geothermal District Heating District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Boise City Geothermal District Heating District Heating...

5

San Bernardino District Heating District Heating Low Temperature...  

Open Energy Info (EERE)

San Bernardino District Heating District Heating Low Temperature Geothermal Facility Facility San Bernardino District Heating Sector Geothermal energy Type District Heating...

6

Kethcum District Heating District Heating Low Temperature Geothermal...  

Open Energy Info (EERE)

Kethcum District Heating District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Kethcum District Heating District Heating Low Temperature Geothermal...

7

Philip District Heating District Heating Low Temperature Geothermal...  

Open Energy Info (EERE)

Philip District Heating District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Philip District Heating District Heating Low Temperature Geothermal...

8

Midland District Heating District Heating Low Temperature Geothermal...  

Open Energy Info (EERE)

Midland District Heating District Heating Low Temperature Geothermal Facility Facility Midland District Heating Sector Geothermal energy Type District Heating Location Midland,...

9

Table 5a. Total District Heat Consumption per Effective Occupied Square  

U.S. Energy Information Administration (EIA) Indexed Site

a. Total District Heat Consumption per Effective a. Total District Heat Consumption per Effective Occupied Square Foot, 1992 Building Characteristics All Buildings Using District Heat (thousand) Total District Heat Consumption (trillion Btu) District Heat Intensities (thousand Btu) Per Square Foot Per Effective Occupied Square Foot All Buildings 94 429 84 93 Building Floorspace (Square Feet) 1,001 to 5,000 18 Q Q Q 5,001 to 10,000 11 Q Q Q 10,001 to 25,000 28 65 144 155 25,001 to 50,000 16 Q Q Q 50,001 to 100,000 9 50 79 81 100,001 to 200,000 6 59 76 79 200,001 to 500,000 5 109 71 77 Over 500,000 1 65 62 80 Principal Building Activity Education 22 50 71 78 Food Sales and Service Q Q Q Q Health Care 3 57 100 142 Lodging 9 66 112 116 Mercantile and Service 9 Q Q Q Office 24 110 63 70 Public Assembly 10 23 64 66 Public Order and Safety Q Q Q Q Religious Worship Q Q Q Q Warehouse and Storage

10

Table 5b. Relative Standard Errors for Total District Heat Consumption per  

U.S. Energy Information Administration (EIA) Indexed Site

b. Relative Standard Errors for Total District Heat Consumption per b. Relative Standard Errors for Total District Heat Consumption per Effective Occupied Square Foot, 1992 Building Characteristics All Buildings Using District Heat (thousand) Total District Heat Consumption (trillion Btu) District Heat Intensities (thousand Btu) Per Square Foot Per Effective Occupied Square Foot All Buildings 11 16 16 16 Building Floorspace (Square Feet) 1,001 to 5,000 27 78 76 76 5,001 to 10,000 38 60 51 51 10,001 to 25,000 18 43 36 35 25,001 to 50,000 24 68 51 51 50,001 to 100,000 18 40 30 30 100,001 to 200,000 27 33 35 36 200,001 to 500,000 22 31 26 27 Over 500,000 42 26 14 10 Principal Building Activity Education 17 29 22 23 Food Sales and Service 67 93 207 150 Health Care 35 26 25 14 Lodging 30 40 30 29 Mercantile and Service 40 74 59 58 Office 23 28 26 27 Public Assembly 25 33 25 26 Public Order and Safety

11

Towards Intelligent District Heating.  

E-Print Network [OSTI]

??A district heating system consists of one or more production units supplying energy in the form of heated water through a distribution pipe network to… (more)

Johansson, Christian

2010-01-01T23:59:59.000Z

12

City of Klamath Falls District Heating District Heating Low Temperatur...  

Open Energy Info (EERE)

Geothermal Facility Jump to: navigation, search Name City of Klamath Falls District Heating District Heating Low Temperature Geothermal Facility Facility City of Klamath...

13

Elko County School District District Heating Low Temperature...  

Open Energy Info (EERE)

Elko County School District District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Elko County School District District Heating Low Temperature...

14

Pagosa Springs District Heating District Heating Low Temperature Geothermal  

Open Energy Info (EERE)

District Heating District Heating Low Temperature Geothermal District Heating District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Pagosa Springs District Heating District Heating Low Temperature Geothermal Facility Facility Pagosa Springs District Heating Sector Geothermal energy Type District Heating Location Pagosa Springs, Colorado Coordinates 37.26945°, -107.0097617° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

15

City of Klamath Falls District Heating District Heating Low Temperature  

Open Energy Info (EERE)

District Heating District Heating Low Temperature District Heating District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name City of Klamath Falls District Heating District Heating Low Temperature Geothermal Facility Facility City of Klamath Falls District Heating Sector Geothermal energy Type District Heating Location Klamath Falls, Oregon Coordinates 42.224867°, -121.7816704° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

16

Kethcum District Heating District Heating Low Temperature Geothermal  

Open Energy Info (EERE)

Kethcum District Heating District Heating Low Temperature Geothermal Kethcum District Heating District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Kethcum District Heating District Heating Low Temperature Geothermal Facility Facility Kethcum District Heating Sector Geothermal energy Type District Heating Location Ketchum, Idaho Coordinates 43.6807402°, -114.3636619° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

17

San Bernardino District Heating District Heating Low Temperature Geothermal  

Open Energy Info (EERE)

Bernardino District Heating District Heating Low Temperature Geothermal Bernardino District Heating District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name San Bernardino District Heating District Heating Low Temperature Geothermal Facility Facility San Bernardino District Heating Sector Geothermal energy Type District Heating Location San Bernardino, California Coordinates 34.1083449°, -117.2897652° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

18

Boise City Geothermal District Heating District Heating Low Temperature  

Open Energy Info (EERE)

Boise City Geothermal District Heating District Heating Low Temperature Boise City Geothermal District Heating District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Boise City Geothermal District Heating District Heating Low Temperature Geothermal Facility Facility Boise City Geothermal District Heating Sector Geothermal energy Type District Heating Location Boise, Idaho Coordinates 43.6135002°, -116.2034505° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

19

Philip District Heating District Heating Low Temperature Geothermal  

Open Energy Info (EERE)

Philip District Heating District Heating Low Temperature Geothermal Philip District Heating District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Philip District Heating District Heating Low Temperature Geothermal Facility Facility Philip District Heating Sector Geothermal energy Type District Heating Location Philip, South Dakota Coordinates 44.0394329°, -101.6651441° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

20

Midland District Heating District Heating Low Temperature Geothermal  

Open Energy Info (EERE)

Midland District Heating District Heating Low Temperature Geothermal Midland District Heating District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Midland District Heating District Heating Low Temperature Geothermal Facility Facility Midland District Heating Sector Geothermal energy Type District Heating Location Midland, South Dakota Coordinates 44.0716539°, -101.1554178° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Susanville District Heating District Heating Low Temperature Geothermal  

Open Energy Info (EERE)

Susanville District Heating District Heating Low Temperature Geothermal Susanville District Heating District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Susanville District Heating District Heating Low Temperature Geothermal Facility Facility Susanville District Heating Sector Geothermal energy Type District Heating Location Susanville, California Coordinates 40.4162842°, -120.6530063° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

22

Elko District Heat District Heating Low Temperature Geothermal Facility |  

Open Energy Info (EERE)

Heat District Heating Low Temperature Geothermal Facility Heat District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Elko District Heat District Heating Low Temperature Geothermal Facility Facility Elko District Heat Sector Geothermal energy Type District Heating Location Elko, Nevada Coordinates 40.8324211°, -115.7631232° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

23

Combined Heat and Power, Waste Heat, and District Energy | Department...  

Broader source: Energy.gov (indexed) [DOE]

Combined Heat and Power, Waste Heat, and District Energy Combined Heat and Power, Waste Heat, and District Energy Presentation-given at the Fall 2011 Federal Utility Partnership...

24

Compare All CBECS Activities: District Heat Use  

U.S. Energy Information Administration (EIA) Indexed Site

District Heat Use District Heat Use Compare Activities by ... District Heat Use Total District Heat Consumption by Building Type Commercial buildings in the U.S. used a total of approximately 433 trillion Btu of district heat (district steam or district hot water) in 1999. There were only five building types with statistically significant district heat consumption; education buildings used the most total district heat. Figure showing total district heat consumption by building type. If you need assistance viewing this page, please call 202-586-8800. District Heat Consumption per Building by Building Type Health care buildings used the most district heat per building. Figure showing district heat consumption per building by building type. If you need assistance viewing this page, please call 202-586-8800.

25

Litchfield Correctional Center District Heating Low Temperature...  

Open Energy Info (EERE)

Correctional Center District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Litchfield Correctional Center District Heating Low Temperature Geothermal...

26

District heating campaign in Sweden  

SciTech Connect (OSTI)

During the fall of 1994 a district heating campaign was conducted in Sweden. The campaign was initiated because the Swedish district heating companies agreed that it was time to increase knowledge and awareness of district heating among the general public, especially among potential customers. The campaign involved many district heating companies and was organized as a special project. Advertising companies, media advisers, consultants and investigators were also engaged. The campaign was conducted in two stages, a national campaign followed by local campaign was conducted in two stages, a national campaign followed by local campaigns. The national campaign was conducted during two weeks of November 1994 and comprised advertising on commercial TV and in the press.

Stalebrant, R.E. [Swedish District Heating Association, Stockholm (Sweden)

1995-09-01T23:59:59.000Z

27

Elko County School District District Heating Low Temperature Geothermal  

Open Energy Info (EERE)

County School District District Heating Low Temperature Geothermal County School District District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Elko County School District District Heating Low Temperature Geothermal Facility Facility Elko County School District Sector Geothermal energy Type District Heating Location Elko, Nevada Coordinates 40.8324211°, -115.7631232° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

28

Warm Springs Water District District Heating Low Temperature Geothermal  

Open Energy Info (EERE)

Water District District Heating Low Temperature Geothermal Water District District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Warm Springs Water District District Heating Low Temperature Geothermal Facility Facility Warm Springs Water District Sector Geothermal energy Type District Heating Location Boise, Idaho Coordinates 43.6135002°, -116.2034505° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

29

Table 20. Coal Imports by Customs District  

U.S. Energy Information Administration (EIA) Indexed Site

Coal Imports by Customs District Coal Imports by Customs District (short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 20. Coal Imports by Customs District (short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date Customs District April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change Eastern Total 469,878 331,008 156,004 800,886 350,124 128.7 Baltimore, MD - - 106,118 - 154,318 - Boston, MA 373,985 154,438 - 528,423 51,185 NM Buffalo, NY 44 - - 44 - - New York City, NY 1,373 1,402 487 2,775 507 447.3 Norfolk, VA - 68,891 - 68,891 35,856 92.1 Ogdensburg, NY - 1 12 1 12 -91.7 Portland, ME 42,428 44,547 - 86,975 - - Providence, RI 52,028 61,729 49,387 113,757 108,226 5.1 St. Albans, VT 20

30

Definition: District heat | Open Energy Information  

Open Energy Info (EERE)

District heat District heat Jump to: navigation, search Dictionary.png District heat A heating system that uses steam or hot water produced outside of a building (usually in a central plant) and piped into the building as an energy source for space heating, hot water or another end use.[1][2][3] View on Wikipedia Wikipedia Definition District heating (less commonly called teleheating) is a system for distributing heat generated in a centralized location for residential and commercial heating requirements such as space heating and water heating. The heat is often obtained from a cogeneration plant burning fossil fuels but increasingly biomass, although heat-only boiler stations, geothermal heating and central solar heating are also used, as well as nuclear power. District heating plants can provide higher efficiencies and better

31

BSU GHP District Heating and Cooling System (Phase I) | Department...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

BSU GHP District Heating and Cooling System (Phase I) BSU GHP District Heating and Cooling System (Phase I) Project objectives: Create a campus geothermal heating and cooling...

32

District Heating with Renewable Energy Webinar  

Broader source: Energy.gov [DOE]

This no cost Community Renewable Energy Success Stories webinar on "District Heating with Renewable Energy" presented by the Energy Department will feature two presentations. The first will discuss...

33

A key review on performance improvement aspects of geothermal district heating systems and applications  

Science Journals Connector (OSTI)

This paper deals with a comprehensive analysis and discussion of geothermal district heating systems and applications. In this regard, case studies are presented to study the thermodynamic aspects in terms of energy and exergy and performance improvement opportunities of three geothermal district heating systems, namely (i) Balcova geothermal district heating system (BGDHS), (ii) Salihli geothermal district heating system (SGDHS), and (iii) Gonen geothermal district heating system (GGDHS) installed in Turkey. Energy and exergy modeling of geothermal district heating systems for system analysis and performance evaluation are given, while their performances are evaluated using energy and exergy analysis method. Energy and exergy specifications are presented in tables. In the analysis, the actual system operational data are utilized. In comparison of the local three district heating systems with each other, it is found that the SGDHS has highest energy efficiency, while the GGDHS has highest exergy efficiency.

Leyla Ozgener; Arif Hepbasli; Ibrahim Dincer

2007-01-01T23:59:59.000Z

34

Fort Boise Veteran's Hospital District Heating Low Temperature...  

Open Energy Info (EERE)

Veteran's Hospital District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Fort Boise Veteran's Hospital District Heating Low Temperature Geothermal...

35

Oregon Institute of Technology District Heating Low Temperature...  

Open Energy Info (EERE)

District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Oregon Institute of Technology District Heating Low Temperature Geothermal Facility Facility...

36

New Mexico State University District Heating Low Temperature...  

Open Energy Info (EERE)

District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name New Mexico State University District Heating Low Temperature Geothermal Facility Facility New...

37

Buffalo district heating system design and construction  

SciTech Connect (OSTI)

This report addresses the introduction of district heating in Buffalo, NY from feasibility study to implementation. The reemergence of district heating in the US and associated advantages are reviewed. Advanced piping technology which has enabled district heating to compete economically with alternative technologies is summarized. Identification and analysis of the customer heat load considered in downtown Buffalo for the pilot system and future expansion is discussed. Various options for initiating construction of a district heating system were considered as exemplified by the configuration for the pilot system which was selected to serve five downtown buildings. A conceptual plan is presented which permits the system to expand in an economically viable manner. The report concludes with an economic analysis which simulates the operation and expansion of the system. 4 figs., 8 tabs.

Oliker, I.

1987-11-01T23:59:59.000Z

38

First university owned district heating system using biomass heat  

E-Print Network [OSTI]

Components 4.3 m diameter gasifier 4.4 MW flue gas boiler 60 t hog fuel storage Electrostatic precipitator Residue Gasifier Oxidizer Flue Gas Boiler Electrostatic Precipitator Heat to campus district energy loop

Northern British Columbia, University of

39

Alaska Gateway School District Adopts Combined Heat and Power...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Alaska Gateway School District Adopts Combined Heat and Power Alaska Gateway School District Adopts Combined Heat and Power May 7, 2013 - 12:00am Addthis In Tok, Alaska, the...

40

Cedarville School District Retrofit of Heating and Cooling Systems...  

Open Energy Info (EERE)

Last modified on July 22, 2011. Project Title Cedarville School District Retrofit of Heating and Cooling Systems with Geothermal Heat Pumps and Ground Source Water Loops Project...

Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Table 14. Steam Coal Exports by Customs District  

U.S. Energy Information Administration (EIA) Indexed Site

Steam Coal Exports by Customs District Steam Coal Exports by Customs District (short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 14. Steam Coal Exports by Customs District (short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date Customs District April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change Eastern Total 4,951,041 5,566,950 6,554,494 10,517,991 11,407,664 -7.8 Baltimore, MD 1,275,530 831,976 1,715,016 2,107,506 2,852,092 -26.1 Boston, MA 7 - 12 7 24 -70.8 Buffalo, NY 1,180 1,516 2,826 2,696 5,257 -48.7 New York City, NY 3,088 2,664 2,168 5,752 6,106 -5.8 Norfolk, VA 3,578,715 4,697,769 4,760,354 8,276,484 8,443,756 -2.0 Ogdensburg, NY 36,894 3,610 3,090 40,504 6,838 492.3 Philadelphia, PA

42

Table 15. Metallurgical Coal Exports by Customs District  

U.S. Energy Information Administration (EIA) Indexed Site

Metallurgical Coal Exports by Customs District Metallurgical Coal Exports by Customs District (short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 15. Metallurgical Coal Exports by Customs District (short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Year to Date Customs District April - June 2013 January - March 2013 April - June 2012 2013 2012 Percent Change Eastern Total 11,716,074 14,136,513 15,167,377 25,852,587 27,578,514 -6.3 Baltimore, MD 2,736,470 4,225,450 5,123,600 6,961,920 9,037,970 -23.0 Boston, MA - - - - 28,873 - Buffalo, NY 247,714 121,347 524,040 369,061 725,698 -49.1 Norfolk, VA 8,730,257 9,784,866 9,519,119 18,515,123 17,784,479 4.1 Ogdensburg, NY 1,633 4,850 618 6,483 1,494 333.9 Southern Total 3,551,564 3,824,484

43

Podhale (South Poland) geothermal district heating system  

Science Journals Connector (OSTI)

The search for geothermal resources in the Podhale Region began in the late 1980s. The Banska IG-1 well, drilled in 1981, served as the starting point for an expansion of those research activities. A geothermal pilot plant was put into operation in 1993. During that same year the company Geotermia Podhalanska (GP) was founded and the pilot project, including the first distribution network for 20 customers, was constructed. After the initial phase of project implementation from 1993 to 1995, during which a pilot plant was constructed and put into operation for demonstration purposes by the Polish Academy for Sciences using the first geothermal doublet (a production well in Banska Nizna and a reinjection well in Bialy Dunajec), and connection of 200 households through a small district heating network, the World Bank got involved in the geothermal district heating project. Since then, significant progress has been made, increasing the overall heat capacity and geothermal output as well as the service area to the City of Zakopane, approx. 14 km from the production wells. In November 2001 the first geothermal heat was delivered to customers in Zakopane.

Piotr Dlugosz

2003-01-01T23:59:59.000Z

44

Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

56 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

45

Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

56 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

46

Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...  

Gasoline and Diesel Fuel Update (EIA)

Energy Information Administration Petroleum Marketing Annual 1995 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

47

Fuzzy predictive control of district heating network  

Science Journals Connector (OSTI)

This paper presents a concept for controlling the supply temperature in district heating networks (DHNs) using model predictive control. Due to the inherent non-linearity in the response characteristics caused by varying flow rates the use of fuzzy dynamic matrix control (DMC) is proposed. The fuzzy partitions of the local finite impulse response (FIR) models are constructed by an axis-orthogonal, incremental partitioning scheme. Furthermore, a novel approach for determining future fuzzy trajectory based on heat load forecasts is implemented. It is demonstrated that the fuzzy DMC performs well for the case study considered. In addition, different set point strategies are applied and the results are evaluated with respect to operational costs. In this context it is shown that the trade-off between pumping and heat loss cost plays an important role in minimising overall costs.

S. Grosswindhager; M. Kozek; Andreas Voigt; Lukas Haffner

2013-01-01T23:59:59.000Z

48

Tushino - 3 district heating project/Moscow  

SciTech Connect (OSTI)

The contract for supply and installation of Honeywell control equipment at the district heating plant in Moscow suburb of Tushino was signed between the Mayor of Moscow and Honeywell in December 1991. Total contract value is US$3 million. The aim is to demonstrate on a pilot project the potential energy savings and improved pleat safety which can be achieved by means of electronic control of latest design. The Honeywell contract basically covers modernization of instrumentation and control of the gas fired heating plant, comprising water preparation and 4 boilers, of 100 Gcal/h each, i.e., 400 Gcal/h total. The plant is feeding the hot water network which has 60 heat exchanger stations connected. The heat exchangers (thermal rating between 2 to 10 Gcal/h each) supply hot water mainly to residential building blocks for apartment heating and domestic hot water. Honeywell`s responsibility covers engineering, supply of TDC 3000 micro-processor based control system for the boilers and DeltaNet Excel control for the Heat Exchangers. The contract also includes installation and start-up of the total control system.

Mayer, H.W.

1995-09-01T23:59:59.000Z

49

BSU GHP District Heating and Cooling System (Phase I)  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

BSU GHP District Heating and Cooling System (Phase I) James Lowe Ball State University May 03, 2010 This presentation does not contain any proprietary confidential, or otherwise...

50

District Wide Geothermal Heating Conversion Blaine County School...  

Broader source: Energy.gov (indexed) [DOE]

Conversion Blaine County School District This project will impact the geothermal energy development market by showing that ground source heat pump systems using production...

51

November 20, 2012 Webinar: District Heating with Renewable Energy |  

Broader source: Energy.gov (indexed) [DOE]

November 20, 2012 Webinar: District Heating with Renewable Energy November 20, 2012 Webinar: District Heating with Renewable Energy November 20, 2012 Webinar: District Heating with Renewable Energy This webinar was held November 20, 2012, and provided information on Indiana's Ball State University geothermal heat pump system, and a hot-water district heating system in St. Paul, Minnesota. Download the presentations below, watch the webinar (WMV 194 MB), or view the text version. Find more CommRE webinars. Paradigm Shift-Coal to Geothermal Ball State University in Indianapolis, Indiana, is converting its campus district heating and cooling system from a coal-fired steam boiler to a ground source geothermal system that produces simultaneously hot water for heating and chilled water for cooling. It will be the largest ground source

52

Solar heat storages in district heating Klaus Ellehauge Thomas Engberg Pedersen  

E-Print Network [OSTI]

July 2007 . #12;#12;Solar heat storages in district heating networks July 2007 Klaus Ellehauge 97 22 11 tep@cowi.dk www.cowi.com #12;#12;Solar heat storages in district heating networks 5 in soil 28 5.3 Other experienced constructions: 30 6 Consequences of establishing solar heat in CHP areas

53

Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District...  

Gasoline and Diesel Fuel Update (EIA)

74.6 77.3 90.7 86.5 77.3 68.4 See footnotes at end of table. 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District, and Selected States Energy Information...

54

Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District...  

U.S. Energy Information Administration (EIA) Indexed Site

70.4 69.1 87.1 75.2 71.6 61.0 See footnotes at end of table. 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District, and Selected States Energy Information...

55

Table 42. Residual Fuel Oil Prices by PAD District and State  

Gasoline and Diesel Fuel Update (EIA)

55.1 47.1 W W 55.1 46.2 See footnotes at end of table. 42. Residual Fuel Oil Prices by PAD District and State Energy Information Administration Petroleum...

56

Oregon Institute of Technology District Heating Low Temperature Geothermal  

Open Energy Info (EERE)

District Heating Low Temperature Geothermal District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Oregon Institute of Technology District Heating Low Temperature Geothermal Facility Facility Oregon Institute of Technology Sector Geothermal energy Type District Heating Location Klamath Falls, Oregon Coordinates 42.224867°, -121.7816704° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

57

New Mexico State University District Heating Low Temperature Geothermal  

Open Energy Info (EERE)

State University District Heating Low Temperature Geothermal State University District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name New Mexico State University District Heating Low Temperature Geothermal Facility Facility New Mexico State University Sector Geothermal energy Type District Heating Location Las Cruces, New Mexico Coordinates 32.3123157°, -106.7783374° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

58

Idaho Capitol Mall District Heating Low Temperature Geothermal Facility |  

Open Energy Info (EERE)

Capitol Mall District Heating Low Temperature Geothermal Facility Capitol Mall District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Idaho Capitol Mall District Heating Low Temperature Geothermal Facility Facility Idaho Capitol Mall Sector Geothermal energy Type District Heating Location Boise, Idaho Coordinates 43.6135002°, -116.2034505° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

59

Warren Estates District Heating Low Temperature Geothermal Facility | Open  

Open Energy Info (EERE)

Warren Estates District Heating Low Temperature Geothermal Facility Warren Estates District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Warren Estates District Heating Low Temperature Geothermal Facility Facility Warren Estates Sector Geothermal energy Type District Heating Location Reno, Nevada Coordinates 39.5296329°, -119.8138027° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

60

Fort Boise Veteran's Hospital District Heating Low Temperature Geothermal  

Open Energy Info (EERE)

Boise Veteran's Hospital District Heating Low Temperature Geothermal Boise Veteran's Hospital District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Fort Boise Veteran's Hospital District Heating Low Temperature Geothermal Facility Facility Fort Boise Veteran's Hospital Sector Geothermal energy Type District Heating Location Boise, Idaho Coordinates 43.6135002°, -116.2034505° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Manzanita Estates District Heating Low Temperature Geothermal Facility |  

Open Energy Info (EERE)

Manzanita Estates District Heating Low Temperature Geothermal Facility Manzanita Estates District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Manzanita Estates District Heating Low Temperature Geothermal Facility Facility Manzanita Estates Sector Geothermal energy Type District Heating Location Reno, Nevada Coordinates 39.5296329°, -119.8138027° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

62

Litchfield Correctional Center District Heating Low Temperature Geothermal  

Open Energy Info (EERE)

Correctional Center District Heating Low Temperature Geothermal Correctional Center District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Litchfield Correctional Center District Heating Low Temperature Geothermal Facility Facility Litchfield Correctional Center Sector Geothermal energy Type District Heating Location Susanville, California Coordinates 40.4162842°, -120.6530063° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

63

A Geothermal District-Heating System and Alternative Energy Research...  

Open Energy Info (EERE)

District-Heating System and Alternative Energy Research Park on the NM Tech Campus Geothermal Project Jump to: navigation, search Last modified on July 22, 2011. Project Title A...

64

Gila Hot Springs District Heating Low Temperature Geothermal Facility |  

Open Energy Info (EERE)

Gila Hot Springs District Heating Low Temperature Geothermal Facility Gila Hot Springs District Heating Low Temperature Geothermal Facility Jump to: navigation, search Name Gila Hot Springs District Heating Low Temperature Geothermal Facility Facility Gila Hot Springs Sector Geothermal energy Type District Heating Location Gila Hot Springs, New Mexico Coordinates Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

65

Energy Accounting for District Heating and Cooling Plants  

E-Print Network [OSTI]

ENERGY ACCOUNTING FOR DISTRICT HEATING AND COOLING PLANTS John A. Barrett, P.E. Manager, Central Plant Utilities University of Houston Houston, Texas Introduction Energy accounting combines engineering science with the insights of cost... Energy Technology Conference Houston, TX, April 22-25, 1979 The Science of Plant Utilities Control While the Weiss papers are not as specific to district heating and cooling plants as the preceding papers, they do treat other problem areas of interest...

Barrett, J. A.

1979-01-01T23:59:59.000Z

66

District Wide Geothermal Heating Conversion Blaine County School District  

Broader source: Energy.gov [DOE]

This project will impact the geothermal energy development market by showing that ground source heat pump systems using production and re-injection wells has the lowest total cost of ownership of available HVAC replacement options.

67

Community Renewable Energy Success Stories Webinar: District Heating with  

Broader source: Energy.gov (indexed) [DOE]

District District Heating with Renewable Energy (text version) Community Renewable Energy Success Stories Webinar: District Heating with Renewable Energy (text version) Below is the text version of the webinar titled "District Heating with Renewable Energy," originally presented on November 20, 2012. Operator: The broadcast is now starting. All attendees are in listen-only mode. Sarah Busche: Hi, good afternoon everyone, and welcome to today's webinar sponsored by the U.S. Department of Energy. I'm Sarah Busche, and I'm here with Devin Egan. We're broadcasting live from the National Renewable Energy Lab in Golden, Colorado. And we're going to give everyone a few minutes to call in and log on, but while we do that, Devin's going to go over some of the logistics, and then we'll get started. Devin?

68

New energy and exergy parameters for geothermal district heating systems  

Science Journals Connector (OSTI)

This paper introduces four new parameters, namely energetic renewability ratio, exergetic renewability ratio, energetic reinjection ratio, and exergetic reinjection ratio for geothermal district energy systems. These parameters are applied to Edremit Geothermal District Heating System (GDHS) in Balikesir, Turkey for daily, monthly and yearly assessments and their variations are studied. In addition, the actual data are regressed to obtain some applied correlations for practical use. Some results follow: (i) Both energetic and exergetic renewability ratios decrease with decreasing temperature in heating season and increasing temperature in the summer. (ii) Both energetic and exergetic reinjection ratios increase with decreasing temperature for heating season and increase with increasing temperature for summer season.

C. Coskun; Zuhal Oktay; I. Dincer

2009-01-01T23:59:59.000Z

69

Simulation and analysis of district-heating and -cooling systems  

SciTech Connect (OSTI)

A computer simulation model, GEOCITY, was developed to study the design and economics of district heating and cooling systems. GEOCITY calculates the cost of district heating based on climate, population, energy source, and financing conditions. The principal input variables are minimum temperature, heating degree-days, population size and density, energy supply temperature and distance from load center, and the interest rate. For district cooling, maximum temperature and cooling degree-hours are required. From this input data the model designs the fluid transport and district heating systems. From this design, GEOCITY calculates the capital and operating costs for the entire system. GEOCITY was originally developed to simulate geothermal district heating systems and thus, in addition to the fluid transport and distribution models, it includes a reservoir model to simulate the production of geothermal energy from geothermal reservoirs. The reservoir model can be adapted to simulate the supply of hot water from any other energy source. GEOCITY has been used extensively and has been validated against other design and cost studies. GEOCITY designs the fluid transport and distribution facilities and then calculates the capital and operating costs for the entire system. GEOCITY can simulate nearly any financial and tax structure through varying the rates of return on equity and debt, the debt-equity ratios, and tax rates. Both private and municipal utility systems can be simulated.

Bloomster, C.H.; Fassbender, L.L.

1983-03-01T23:59:59.000Z

70

Coefficient of performance (COP) analysis of geothermal district heating systems (GDHSs): Salihli GDHS case study  

Science Journals Connector (OSTI)

The purpose of this survey is about to analyze the heating coefficient of performance (COP) of geothermal district heating systems. Actual system data are taken from the Salihli GDHS, Turkey. The collected data are quantified and illustrated in tables, particularly for a reference temperature for comparison purposes. In this study, firstly energy and COP analysis of the \\{GDHSs\\} is introduced and then Salihli GDHS coefficient of performance results is given as a case study. Moreover, this paper offers an interesting empirical study of certain geothermal systems.

Leyla Ozgener

2012-01-01T23:59:59.000Z

71

Table 13. U.S. Coal Exports by Customs District  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

2014 Year to Date Customs District April - June 2014 January - March 2014 April - June 2013 2014 2013 Percent Change Eastern Total 14,307,904 16,331,296 16,667,115 30,639,200...

72

Co-sponsored second quarter progress review conference on district heating  

SciTech Connect (OSTI)

A summary of the progress review conference on district heating and cooling systems is presented. The agenda and lists of speakers and attendees are presented. A history of district heating and some present needs and future policies are given and an excerpt from the National District Heating Program Strategy (DOE, March 1980) is included. Following the presentation, District Heating and Cooling Systems Program, by Alan M. Rubin, a fact sheet on DOE's Integrated Community Energy Systems Program and information from an oral presentation, District Heating and Cooling Systems for Communities Through Power Plant Retrofit Distribution Network, are given. The Second Quarterly Oral Report to the US DOE on the District Heating and Cooling Project in Detroit; the executive summary of the Piqua, Ohio District Heating and Cooling Demonstration Project; the Second Quarterly Report of the Moorehead, Minnesota District Heating Project; and the report from the Moorehead, Minnesota mayor on the Hot Water District Heating Project are presented.

None

1980-01-01T23:59:59.000Z

73

District cooling and heating development in Stamford, CT. Final report  

SciTech Connect (OSTI)

This report summarizes the development options for introducing district cooling and heating in downtown Stamford, Connecticut. A district energy system as defined for the Stamford project is the production of chilled and hot water at a central energy plant, and its distribution underground to participating building in the vicinity. The objective of the study was to investigate implementation of a district energy system in conjunction with cogeneration as a means to encourage energy conservation and provide the city with an economic development tool. Analysis of the system configuration focused on selecting an arrangement which offered a realistic opportunity for implementation. Three main alternatives were investigated: (1) construction of an 82 MW cogeneration plant and a district heating and cooling system to serve downtown buildings, (2) construction of a small (4 MW) in-fence cogeneration plant combined with cooling and heating, and (3) construction of a district cooling and heating plant to supply selected buildings. Option (1) was determined to be unfeasible at this time due to low electricity prices. The analysis demonstrated that alternatives (2) and (3) were feasible. A number of recommendations are made for detailed cost estimates and ownership, leasing, and financial issues. 12 figs., 10 tabs.

NONE

1994-12-01T23:59:59.000Z

74

Achieving low return temperatures from district heating substations  

Science Journals Connector (OSTI)

Abstract District heating systems contribute with low primary energy supply in the energy system by providing heat from heat assets like combined heat and power, waste incineration, geothermal heat, wood waste, and industrial excess heat. These heat assets would otherwise be wasted or not used. Still, there are several reasons to use these assets as efficiently as possible, i.e., ability to compete, further reduced use of primary energy resources, and less environmental impact. Low supply and return temperatures in the distribution networks are important operational factors for obtaining an efficient district heating system. In order to achieve low return temperatures, customer substations and secondary heating systems must perform without temperature faults. In future fourth generation district heating systems, lower distribution temperatures will be required. To be able to have well-performing substations and customer secondary systems, continuous commissioning will be necessary to be able to detect temperature faults without any delays. It is also of great importance to be able to have quality control of eliminated faults. Automatic meter reading systems, recently introduced into district heating systems, have paved the way for developing new methods to be used in continuous commissioning of substations. This paper presents a novel method using the temperature difference signature for temperature difference fault detection and quality assurance of eliminated faults. Annual hourly datasets from 140 substations have been analysed for temperature difference faults. From these 140 substations, 14 were identified with temperature difference appearing or eliminated during the analysed year. Nine appeared during the year, indicating an annual temperature difference fault frequency of more than 6%.

Henrik Gadd; Sven Werner

2014-01-01T23:59:59.000Z

75

On flow and supply temperature control in district heating systems  

Science Journals Connector (OSTI)

This paper discusses how the control of the flow and the supply temperature in district heating systems can be optimized, utilizing stochastic modelling, prediction and control methods. The main objective is to reduce heat production costs and heat losses in the transmission and distribution net by minimizing the supply temperature at the district heating plant. This control strategy is reasonable, in particular, if the heat production takes place at a combined heat and power (CHP) plant. The control strategy is subject to some restrictions, e.g. that the total heat requirement for all consumers is supplied at any time, and each individual consumer is guaranteed some minimum supply temperature at any time. Another important restriction is that the variation in time of the supply temperature is kept as small as possible. This concept has been incorporated in the program package, PRESS, developed at the Technical University of Denmark. PRESS has been applied and tested, e.g. at Vestkraft in Esbjerg, Denmark, and significant saving potentials have been documented. PRESS is now distributed by the Danish District Heating Association.

Henrik Madsen; Ken Sejling; Henning T. Søgaard; Olafur P. Palsson

1994-01-01T23:59:59.000Z

76

Cedarville School District Retrofit of Heating and Cooling Systems with  

Open Energy Info (EERE)

School District Retrofit of Heating and Cooling Systems with School District Retrofit of Heating and Cooling Systems with Geothermal Heat Pumps and Ground Source Water Loops Geothermal Project Jump to: navigation, search Last modified on July 22, 2011. Project Title Cedarville School District Retrofit of Heating and Cooling Systems with Geothermal Heat Pumps and Ground Source Water Loops Project Type / Topic 1 Recovery Act - Geothermal Technologies Program: Ground Source Heat Pumps Project Type / Topic 2 Topic Area 1: Technology Demonstration Projects Project Description - Improve the indoor air quality and lower the cost of cooling and heating the buildings that make up the campus of Cedarville High School, Middle School and Elementary School. - Provide jobs, and reduce requirements of funds for the capital budget of the School District, and thus give relief to taxpayers in this rural region during a period of economic recession. - The new Heat Pumps will be targeted to perform at very high efficiency with EER (energy efficiency ratios) of 22+/-. System capacity is planned at 610 tons. - Remove unusable antiquated existing equipment and systems from the campus heating and cooling system, but utilize ductwork, piping, etc. where feasible. The campus is served by antiquated air conditioning units combined with natural gas, and with very poor EER estimated at 6+/-. - Monitor for 3 years the performance of the new systems compared to benchmarks from the existing system, and provide data to the public to promote adoption of Geothermal technology. - The Geothermal installation contractor is able to provide financing for a significant portion of project funding with payments that fall within the energy savings resulting from the new high efficiency heating and cooling systems.

77

Tables for solution of the heat-conduction equation with a time-dependent heating rate  

E-Print Network [OSTI]

Tables are presented for the solution of the transient onedimensional heat flow in a solid body of constant material properties with the heating rate at one boundary dependent on time. These tables allow convenient and ...

Bergles A. E.

1962-01-01T23:59:59.000Z

78

Exergoeconomic evaluation on the optimum heating circuit system of Simav geothermal district heating system  

Science Journals Connector (OSTI)

Simav is one of the most important 15 geothermal areas in Turkey. It has several geothermal resources with the mass flow rate ranging from 35 to 72 kg/s and temperature from 88 to 148 °C. Hence, these geothermal resources are available to use for several purposes, such as electricity generation, district heating, greenhouse heating, and balneological purposes. In Simav, the 5000 residences are heated by a district heating system in which these geothermal resources are used. Beside this, a greenhouse area of 225,000 m2 is also heated by geothermal. In this study, the working conditions of the Simav geothermal district heating system have been optimized. In this paper, the main characteristics of the system have been presented and the impact of the parameters of heating circuit on the system are investigated by the means of energy, exergy, and life cycle cost (LCC) concepts. As a result, the optimum heating circuit has been determined as 60/49 °C.

Oguz Arslan; M.Arif Ozgur; Ramazan Kose; Abtullah Tugcu

2009-01-01T23:59:59.000Z

79

Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...  

Gasoline and Diesel Fuel Update (EIA)

68.6 62.0 70.7 92.7 90.7 81.5 72.8 - 78.0 See footnotes at end of table. 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 56 Energy Information...

80

Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District...  

Gasoline and Diesel Fuel Update (EIA)

68.9 62.6 71.6 92.3 89.9 82.6 72.7 - 78.2 See footnotes at end of table. 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 56 Energy Information...

Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Community Renewable Energy Success Stories Webinar: District Heating with Renewable Energy (text version)  

Office of Energy Efficiency and Renewable Energy (EERE)

Below is the text version of the webinar titled "District Heating with Renewable Energy," originally presented on November 20, 2012.

82

School of Architecture, Design and the Built Environment Delta T optimisation of district heating network  

E-Print Network [OSTI]

School of Architecture, Design and the Built Environment Delta T optimisation of district heating of any network. Most existing district heating systems work at small (10-15 C) delta T. Although for the conventional and optimised design of the district heating network. The network operation will be simulated

Evans, Paul

83

Return temperature influence of a district heating network on the CHP plant production costs.  

E-Print Network [OSTI]

?? The aim of this Project is to study the influence of high return temperatures in district heating on the costs for heat and power… (more)

Sallent, Roger

2009-01-01T23:59:59.000Z

84

Absorption cooling in district heating network: Temperature difference examination in hot water circuit.  

E-Print Network [OSTI]

?? Absorption cooling system driven by district heating network is relized as a smart strategy in Sweden. During summer time when the heating demand is… (more)

Yuwardi, Yuwardi

2013-01-01T23:59:59.000Z

85

Table 4. Estimation Results for PAD District Regions  

Gasoline and Diesel Fuel Update (EIA)

4. Estimation Results for PAD District Regions 4. Estimation Results for PAD District Regions Dependent Variable: D(RETPAD1) Dependent Variable: D(RETPAD2) Dependent Variable: D(RETPAD3) Dependent Variable: D(RETPAD4) Dependent Variable: D(RETPAD5) Sample: 1/03/2000 to 6/24/2002 Sample: 1/03/2000 to 6/24/2002 Sample: 1/03/2000 to 6/24/2002 Sample: 6/15/1998 to 6/24/2002 Sample: 1/03/2000 to 6/24/2002 Variable Coefficient Variable Coefficient Variable Coefficient Variable Coefficient Variable Coefficient C 0.008 C -0.019 C -0.015 C -0.030 C 0.049 (0.098) (0.199) (0.115) (0.087) (0.148) DSPOTPAD1(-1) 0.295*** DSPOTPAD2(-1) 0.671*** DSPOTPAD3(-1) 0.334*** DSPOTPAD4(-1) 0.132*** DSPOTPAD5(-1) 0.184*** (0.023) (0.034) (0.026) (0.021) (0.023)

86

District heating and cooling feasibility study, Dunkirk, New York  

SciTech Connect (OSTI)

The objective of this project is to perform a preliminary investigation of the technical and economic feasibility of implementing a district heating and cooling (DHC) system in the City of Dunkirk, New York. The study was conducted by first defining a heating and cooling (HC) load service area. Then, questionnaires were sent to prospective DHC customers. After reviewing the owners responses, large consumers of energy were interviewed for more detail of their HC systems, including site visits, to determine possibilities of retrofitting their systems to district heating and cooling. Peak HC loads for the buildings were estimated by Burns and Roe's in-house computer programs. Based on the peak loads, certain customers were determined for suitability as anchor customers. Various options using cogeneration were investigated for possible HC sources. Equipment for HC sources and HC loads were sized and their associated costs estimated. Finally, economic analyses were performed. The conclusion is that it is technically and economically feasible to implement a district heating and cooling system in the City of Dunkirk. 14 figs., 15 tabs.

Not Available

1988-06-01T23:59:59.000Z

87

Feasibility analysis of geothermal district heating for Lakeview, Oregon  

SciTech Connect (OSTI)

An analysis of the geothermal resource at Lakeview, Oregon, indicates that a substantial resource exists in the area capable of supporting extensive residential, commercial and industrial heat loads. Good resource productivity is expected with water temperatures of 200{degrees}F at depths of 600 to 3000 feet in the immediate vicinity of the town. Preliminary district heating system designs were developed for a Base Case serving 1170 homes, 119 commercial and municipal buildings, and a new alcohol fuel production facility; a second design was prepared for a downtown Mini-district case with 50 commercial users and the alcohol plant. Capital and operating costs were determined for both cases. Initial development of the Lakeview system has involved conducting user surveys, well tests, determinations of institutional requirements, system designs, and project feasibility analyses. A preferred approach for development will be to establish the downtown Mini-district and, as experience and acceptance are obtained, to expand the system to other areas of town. Projected energy costs for the Mini-district are $10.30 per million Btu while those for the larger Base Case design are $8.20 per million Btu. These costs are competitive with costs for existing sources of energy in the Lakeview area.

Not Available

1980-12-23T23:59:59.000Z

88

CHP, Waste Heat & District Energy  

Broader source: Energy.gov (indexed) [DOE]

CHP Technologies and Applications CHP Technologies and Applications 25 Oct 11 Today's Electric Grid What is CHP * ASHRAE Handbook: "Combined heat and power (CHP). Simultaneous production of electrical or mechanical energy and useful thermal energy from a single energy stream." * CHP is not a single technology but a suite of technologies that can use a variety of fuels to generate electricity or power at the point of use. * CHP technology can be deployed quickly, cost-effectively, and with few geographic limitations. 11/1/2011 Slide 6 5/20/11 Slide 7 What is CHP? * On-site generation of Power and Thermal Energy from a single fuel source * 'Conventional' grid based generators are located remote from thermal applications while CHP plants are located close to thermal applications

89

Thermodynamic analysis of a geothermal district heating system  

Science Journals Connector (OSTI)

Thermoeconomic analysis is considered a useful tool for investigators in engineering and other disciplines due to its methodology based on the quantities exergy, cost, energy and mass. This study deals with an investigation of capital costs and thermodynamic losses for devices in the Balcova Geothermal District Heating Systems (BGDHS). Thermodynamic loss rate-to-capital cost ratios are used for components and the overall system, and a systematic correlation is found between capital cost and exergy loss (total or internal), but not between capital cost and energy loss or external exergy loss. This correlation may imply that devices in successful district heating system are configured so as to achieve an overall optimal design, by balancing the thermodynamic (exergy-based) and economic characteristics of the overall system and their devices. The results provide insights into the relations between thermodynamics and economics and help demonstrate the merits of exergy analysis.

Leyla Ozgener; Arif Hepbasli; Ibrahim Dincer

2005-01-01T23:59:59.000Z

90

Geothermal district heating system feasibility analysis, Thermopolis, Wyoming  

SciTech Connect (OSTI)

The purpose of this study is to determine the technical and economic feasibility of constructing and operating a district heating system to serve the residential, commercial, and public sectors in Thermopolis. The project geothermal resource assessment, based on reviews of existing information and data, indicated that substantial hot water resources likely exist in the Rose Dome region 10 miles northeast of Thermopolis, and with quantities capable of supporting the proposed geothermal uses. Preliminary engineering designs were developed to serve the space heating and hot water heating demands for buildings in the Thermopolis-East Thermopolis town service area. The heating district design is based on indirect geothermal heat supply and includes production wells, transmission lines, heat exchanger units, and the closed loop distribution and collection system necessary to serve the individual customers. Three options are presented for disposal of the cooled waters-reinjection, river disposal, and agricultural reuse. The preliminary engineering effort indicates the proposed system is technically feasible. The design is sized to serve 1545 residences, 190 businesses, and 24 public buildings. The peak design meets a demand of 128.2 million Btu at production rates of 6400 gpm.

Goering, S.W.; Garing, K.L.; Coury, G.; Mickley, M.C.

1982-04-26T23:59:59.000Z

91

Exergoeconomic analysis of geothermal district heating systems: A case study  

Science Journals Connector (OSTI)

An exergoeconomic study of geothermal district heating systems through mass, energy, exergy and cost accounting analyses is reported and a case study is presented for the Salihli geothermal district heating system (SGDHS) in Turkey to illustrate the present method. The relations between capital costs and thermodynamic losses for the system components are also investigated. Thermodynamic loss rate-to-capital cost ratios are used to show that, for the devices and the overall system, a systematic correlation appears to exist between capital cost and exergy loss (total or internal), but not between capital cost and energy loss or external exergy loss. Furthermore, a parametric study is conducted to determine how the ratio of thermodynamic loss rate to capital cost changes with reference temperature and to develop a correlation that can be used for practical analyses. The correlations may imply that devices in successful district heating systems such as the SGDHS are configured so as to achieve an overall optimal design, by appropriately balancing the thermodynamic (exergy-based) and economic (cost) characteristics of the overall systems and their devices.

Leyla Ozgener; Arif Hepbasli; Ibrahim Dincer; Marc A. Rosen

2007-01-01T23:59:59.000Z

92

Conventional and advanced exergoeconomic analyses of geothermal district heating systems  

Science Journals Connector (OSTI)

Abstract The present study deals with analyzing, assessing and comparing conventional and advanced exergoeconomic analyses to identify the direction and potential for energy savings of a geothermal district heating system in future conditions/projections. As a real case study, the Afyon geothermal district heating system in Afyonkarahisar, Turkey, is considered while its actual operational thermal data on 8 February 2011 are utilized in the analysis, which is based on the specific exergy costing method. In this study for the first time, based on the concepts of avoidable/unavoidable and endogenous/exogenous parts, cost rates associated with both exergy destruction and capital investment of the geothermal district heating system are determined first, and the obtained results are then evaluated. The results indicate that the internal design changes play a more essential role in determining the cost of each component. The cost rate of unavoidable part within the components of the system is lower than that of the avoidable one. For the overall system, the value for the conventional exergoeconomic factor is determined to be 5.53% while that for the modified one is calculated to be 9.49%. As a result, the advanced exergoeconomic analysis makes more sense given the additional information in splitting process of the components.

Ali Keçeba?; Arif Hepbasli

2014-01-01T23:59:59.000Z

93

Geothermal district heating in Turkey: The Gonen case study  

Science Journals Connector (OSTI)

The status of geothermal district heating in Turkey and its future prospects are reviewed. A description is given of the Gonen project in Balikesir province, the first system to begin citywide operation in the country. The geology and geothermal resources of the area, the history of the project's development, the problems encountered, its economic aspects and environmental contributions are all discussed. The results of this and other such systems installed in Turkey have confirmed that, in this country, heating an entire city based on geothermal energy is a significantly cleaner, cheaper option than using fossil fuels or other renewable energy resources.

Zuhal Oktay; Asiye Aslan

2007-01-01T23:59:59.000Z

94

Life cycle assessment of base-load heat sources for district heating system options  

SciTech Connect (OSTI)

Purpose There has been an increased interest in utilizing renewable energy sources in district heating systems. District heating systems are centralized systems that provide heat for residential and commercial buildings in a community. While various renewable and conventional energy sources can be used in such systems, many stakeholders are interested in choosing the feasible option with the least environmental impacts. This paper evaluates and compares environmental burdens of alternative energy source options for the base load of a district heating center in Vancouver, British Columbia (BC) using the life cycle assessment method. The considered energy sources include natural gas, wood pellet, sewer heat, and ground heat. Methods The life cycle stages considered in the LCA model cover all stages from fuel production, fuel transmission/transportation, construction, operation, and finally demolition of the district heating system. The impact categories were analyzed based on the IMPACT 2002+ method. Results and discussion On a life-cycle basis, the global warming effect of renewable energy options were at least 200 kgeqCO2 less than that of the natural gas option per MWh of heat produced by the base load system. It was concluded that less than 25% of the upstream global warming impact associated with the wood pellet energy source option was due to transportation activities and about 50% of that was resulted from wood pellet production processes. In comparison with other energy options, the wood pellets option has higher impacts on respiratory of inorganics, terrestrial ecotoxicity, acidification, and nutrification categories. Among renewable options, the global warming impact of heat pump options in the studied case in Vancouver, BC, were lower than the wood pellet option due to BC's low carbon electricity generation profile. Ozone layer depletion and mineral extraction were the highest for the heat pump options due to extensive construction required for these options. Conclusions Natural gas utilization as the primary heat source for district heat production implies environmental complications beyond just the global warming impacts. Diffusing renewable energy sources for generating the base load district heat would reduce human toxicity, ecosystem quality degradation, global warming, and resource depletion compared to the case of natural gas. Reducing fossil fuel dependency in various stages of wood pellet production can remarkably reduce the upstream global warming impact of using wood pellets for district heat generation.

Ghafghazi, Saeed [University of British Columbia, Vancouver; Sowlati, T. [University of British Columbia, Vancouver; Sokhansanj, Shahabaddine [ORNL; Melin, Staffan [Delta Research Corporation

2011-03-01T23:59:59.000Z

95

Potential of the Power-to-Heat Technology in District Heating Grids in Germany  

Science Journals Connector (OSTI)

Abstract The increasing amount of power generation from weather-dependent renewable sources in Germany is projected to lead to a considerable number of hours in which power generation exceeds power demand. One possibility to take advantage of this power surplus is through the Power-to-Heat technology. As combined heat and power (CHP)-plants can be upgraded relatively easily with a Power-to-Heat facility, a huge potential can be developed in German district heating grids which are mainly served by CHP-plants. In this paper the potential of the Power-to-Heat technology in district heating grids in Germany is evaluated for the years 2015 to 2030 under different assumptions.

Diana Böttger; Mario Götz; Nelly Lehr; Hendrik Kondziella; Thomas Bruckner

2014-01-01T23:59:59.000Z

96

Marketing the Klamath Falls Geothermal District Heating system  

SciTech Connect (OSTI)

The Klamath Falls Geothermal District Heating system was completed in 1981 and, until 1992, there was no formal marketing plan for the system. This lack of marketing and the system history of poor availability combined to reduce or eliminate interest in connecting on the part of local building owners and it served only the original 14 government buildings connected at start up. The revenue from these buildings, however, did not cover the entire cost of operating the system. As a result, the city was faced with a difficult decision - develop the revenue required to make the system self-supporting or shut it down. As a result, a marketing strategy for the system was developed. A flat rate was developed in which the rate is negotiable, but for most customers approximates 50% of the gas bill. In addition, the flat rate reduced customer retrofit costs because it is not necessary to buy a meter. Finally, the flat rate is a guaranteed value for the first 10 years of the contract. To reduce retrofit costs, the new marketing plan eliminates the requirement for a customer heat exchanger. New customers are now connected directly into the distribution system with district loop water used as the building heating medium. The state operates two programs which have been used in the marketing plan. The first of these is available only to taxable entities and is referred to as the Business Energy Tax Credit (BETC). This program offers business a 35% tax credit on the costs associated with connection to the geothermal district heat system (retrofit, design, permits, etc.). The second state program is the Small Energy Loan Program (SELP). This program will loan the entire cost of the energy project to the customer. The new marketing strategy for the Klamath Falls system has concentrated on offering the customer an attractive and easy to understand rate structure, reduced retrofit cost and complexity for this building along with an attractive package of financing and tax credits. 1 tab.

Rafferty, K. (Geo-Heat Center, Klamath Falls, OR (United States))

1993-08-01T23:59:59.000Z

97

Heat exchanger optimization for geothermal district heating systems: A fuel saving approach  

Science Journals Connector (OSTI)

One of the most commonly used heating devices in geothermal systems is the heat exchanger. The output conditions of heat exchangers are based on several parameters. The heat transfer area is one of the most important parameters for heat exchangers in terms of economics. Although there are a lot of methods to optimize heat exchangers, the method described here is a fairly easy approach. In this paper, a counter flow heat exchanger of geothermal district heating system is considered and optimum design values, which provide maximum annual net profit, for the considered heating system are found according to fuel savings. Performance of the heat exchanger is also calculated. In the analysis, since some values are affected by local conditions, Turkey's conditions are considered.

Ahmet Dagdas

2007-01-01T23:59:59.000Z

98

Cost-efficient monitoring of water quality in district heating systems This article examines the monitoring strategy for water quality in a large Danish district  

E-Print Network [OSTI]

Cost-efficient monitoring of water quality in district heating systems This article examines the monitoring strategy for water quality in a large Danish district heating system ­ and makes a proposal for a technical and economic improvement. Monitoring of water quality in district heating systems is necessary

99

Performance and thermo-economic assessments of geothermal district heating system: A case study in Afyon, Turkey  

Science Journals Connector (OSTI)

In this study energy, exergy and exergoeconomic analysis of the Afyon geothermal district heating system (AGDHS) in Afyon, Turkey is performed through thermodynamic performances and thermo-economic assessments. In the analysis, actual system data are used to assess the district heating system performance, energy and exergy efficiencies, exergy losses and loss cost rates. Energy and exergy losses throughout the AGDHS are quantified and illustrated in the flow diagram. The energy and exergy efficiencies of the overall system are found to be 37.59% and 47.54%, respectively. The largest exergy loss occurs in the heat exchangers with 14.59% and then in the reinjection wells with 14.09%. Besides, thermo-economic evaluations of the AGDHS are given in table. Energy and exergy loss rates for the AGDHS are estimated to be 5.36 kW/$ and 0.2  kW/$, respectively.

Ali Keçeba?

2011-01-01T23:59:59.000Z

100

User manual for GEOCITY: a computer model for cost analysis of geothermal district-heating-and-cooling systems. Volume II. Appendices  

SciTech Connect (OSTI)

The purpose of this model is to calculate the costs of residential space heating, space cooling, and sanitary water heating or process heating (cooling) using geothermal energy from a hydrothermal reservoir. The model can calculate geothermal heating and cooling costs for residential developments, a multi-district city, or a point demand such as an industrial factory or commercial building. Volume II contains all the appendices, including cost equations and models for the reservoir and fluid transmission system and the distribution system, descriptions of predefined residential district types for the distribution system, key equations for the cooling degree hour methodology, and a listing of the sample case output. Both volumes include the complete table of contents and lists of figures and tables. In addition, both volumes include the indices for the input parameters and subroutines defined in the user manual.

Huber, H.D.; Fassbender, L.L.; Bloomster, C.H.

1982-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Municipal District Heating and Cooling Co-generation System Feasibility Research  

E-Print Network [OSTI]

In summer absorption refrigerating machines provide cold water using excess heat from municipal thermoelectric power plant through district heating pipelines, which reduces peak electric load from electricity networks in summer. The paper simulates...

Zhang, W.; Guan, W.; Pan, Y.; Ding, G.; Song, X.; Zhang, Y.; Li, Y.; Wei, H.; He, Y.

2006-01-01T23:59:59.000Z

102

Skyscrapers and District Heating, an inter-related History 1876-1933.  

E-Print Network [OSTI]

in the United States in the late 1850s.1 A district heating system produces energy in a boiler plant - steam and electricity. This system needs a heavy infrastructure - boiler plant, pumps, and mains laid out beneath of skyscrapers is well-known;3 but the history of district heating systems less well known, this article

Boyer, Edmond

103

"Potential for Combined Heat and Power and District Heating and Cooling from Waste-to-Energy Facilities in the U.S. Learning from the Danish Experience"  

E-Print Network [OSTI]

is used for the generation of electricity. The advantages of district heating using WTE plants are heating and cooling system in Indianapolis. However, there are few U.S. hot water district heating systems,800 district heating and cooling systems, providing 320 million MWh of thermal energy. Currently, 28 of the 88

Shepard, Kenneth

104

District heating and cooling systems for communities through power plant retrofit distribution network. Phase 2. Final report, 1 March 1980-31 January 1984  

SciTech Connect (OSTI)

The potential for district heating was examined in terms of a total (regional) system and two subsystems of overlapping scales. The basis of the economic analysis of district heating was that the utility's electric and gas customers would not be economically burdened by the implementation of district heating, and that any incremental costs due to district heating (e.g. district heating capital and operating costs, replacement electric power, abandonment of unamortized gas mains) would be charged to district heating customers.

Not Available

1984-01-01T23:59:59.000Z

105

Union County - La Grande, Oregon geothermal district heating: feasibility assessment. Final report  

SciTech Connect (OSTI)

This report presents an assessment of geothermal district heating in the City of La Grande, Oregon. Eight study area districts were analyzed to determine their economic feasibility. Results from the analyses conclude that certain districts within the City of La Grande are economically feasible if certain assumptions are correct. Development of geothermal district heating for these areas would provide direct energy and dollar savings to the building owners and would also provide direct and indirect benefits to low and moderate income households within the City.

Jenkins, H. II; Giddings, M.; Hanson, P.

1982-09-01T23:59:59.000Z

106

Performance investigation of two geothermal district heating systems for building applications: Energy analysis  

Science Journals Connector (OSTI)

The energetic performance of Balcova geothermal district heating system (BGDHS) and Salihli geothermal district heating system (SGDHS) installed in Turkey is investigated for building applications in this study. The essential components (e.g., pumps, heat exchangers) of these geothermal district heating systems are also included in the modeling. The present model is employed for system analysis and energetic performance evaluation of the geothermal district heating systems. Energy flow diagrams are drawn to exhibit the input and output energies and losses to the surroundings by using the 2003 and 2004 heating season actual data. In addition, energy efficiencies are studied for comparison purposes, and are found to be 39.36% for BGDHS and 59.31% for SGDHS, respectively.

Leyla Ozgener; Arif Hepbasli; Ibrahim Dincer

2006-01-01T23:59:59.000Z

107

Photoreversible Micellar Solution as a Smart Drag-Reducing Fluid for Use in District Heating/Cooling Systems  

E-Print Network [OSTI]

Photoreversible Micellar Solution as a Smart Drag-Reducing Fluid for Use in District Heating solution is developed as a promising working fluid for district heating/cooling systems (DHCs). It can systems. A promising application of DR fluids is in district heating/ cooling systems (DHCs)9

Raghavan, Srinivasa

108

Optimal Operation of a Waste Incineration Plant for District Heating Johannes Jaschke, Helge Smedsrud, Sigurd Skogestad*, Henrik Manum  

E-Print Network [OSTI]

Optimal Operation of a Waste Incineration Plant for District Heating Johannes J¨aschke, Helge@chemeng.ntnu.no off-line. This systematic approach is here applied to a waste incineration plant for district heating. In district heating networks, operators usually wish to ob- tain the lowest possible return temperature

Skogestad, Sigurd

109

Energy recovery from waste incineration: Assessing the importance of district heating networks  

SciTech Connect (OSTI)

Municipal solid waste incineration contributes with 20% of the heat supplied to the more than 400 district heating networks in Denmark. In evaluation of the environmental consequences of this heat production, the typical approach has been to assume that other (fossil) fuels could be saved on a 1:1 basis (e.g. 1 GJ of waste heat delivered substitutes for 1 GJ of coal-based heat). This paper investigates consequences of waste-based heat substitution in two specific Danish district heating networks and the energy-associated interactions between the plants connected to these networks. Despite almost equal electricity and heat efficiencies at the waste incinerators connected to the two district heating networks, the energy and CO{sub 2} accounts showed significantly different results: waste incineration in one network caused a CO{sub 2} saving of 48 kg CO{sub 2}/GJ energy input while in the other network a load of 43 kg CO{sub 2}/GJ. This was caused mainly by differences in operation mode and fuel types of the other heat producing plants attached to the networks. The paper clearly indicates that simple evaluations of waste-to-energy efficiencies at the incinerator are insufficient for assessing the consequences of heat substitution in district heating network systems. The paper also shows that using national averages for heat substitution will not provide a correct answer: local conditions need to be addressed thoroughly otherwise we may fail to assess correctly the heat recovery from waste incineration.

Fruergaard, T.; Christensen, T.H. [Department of Environmental Engineering, Technical University of Denmark, Kongens Lyngby (Denmark); Astrup, T., E-mail: tha@env.dtu.d [Department of Environmental Engineering, Technical University of Denmark, Kongens Lyngby (Denmark)

2010-07-15T23:59:59.000Z

110

Energy Efficient Integration of Heat Pumps into Solar District Heating Systems with Seasonal Thermal Energy Storage  

Science Journals Connector (OSTI)

Abstract Solar district heating (SDH) with seasonal thermal energy storage (STES) is a technology to provide heat for space heating and domestic hot water preparation with a high fraction of renewable energy. In order to improve the efficiency of such systems heat pumps can be integrated. By preliminary studies it was discovered, that the integration of a heat pump does not always lead to improvements from an overall energy perspective, although the operation of the heat pump increases the efficiency of other components of the system e. g. the STES or the solar collectors. Thus the integration of heat pumps in SDH systems was investigated in detail. Usually, the heat pumps are integrated in such a way, that the STES is used as low temperature heat source. No other heat sources from the ambience are used and only that amount of energy consumed by the heat pump is additionally fed into the system. In the case of an electric driven heat pump, this is highly questionable concerning economic and CO2-emission aspects. Despite that fact the operation of the heat pump influences positively the performance of other components in the system e. g. the STES and makes them more efficient. If the primary energy consumption of the heat pump is lower than the energetic benefits of all other components, the integration makes sense from an energetic point of view. A detailed assessment has been carried out to evaluate the most promising system configurations for the integration of a heat pump. Based on this approach a system concept was developed in which the integration of the heat pump is energetically further improved compared to realised systems. By means of transient system simulations this concept was optimised with regard to the primary energy consumption. A parameter study of this new concept has been performed to identify the most sensitive parameters of the system. The main result and conclusion are that higher solar fractions and also higher primary energy savings can be achieved by SDH systems using heat pumps compared systems without heat pumps.

Roman Marx; Dan Bauer; Harald Drueck

2014-01-01T23:59:59.000Z

111

A Geothermal District-Heating System and Alternative Energy Research Park  

Open Energy Info (EERE)

Geothermal District-Heating System and Alternative Energy Research Park Geothermal District-Heating System and Alternative Energy Research Park on the NM Tech Campus Geothermal Project Jump to: navigation, search Last modified on July 22, 2011. Project Title A Geothermal District-Heating System and Alternative Energy Research Park on the NM Tech Campus Project Type / Topic 1 Recovery Act: Geothermal Technologies Program Project Type / Topic 2 Geothermal Energy Production from Low Temperature Resources, Coproduced Fluids from Oil and Gas Wells, and Geopressured Resources Project Type / Topic 3 Low Temperature Resources Project Description With prior support from the Department of Energy (GRED III Program), New Mexico Institute of Mining and Technology (NM Tech) has established that this resource likely has sufficient permeability (3000 Darcies) and temperatures (80-112 oC) to develop a campus-wide district heating system.

112

Retro-Commissioning and Improvement for District Heating and Cooling System Using Simulation  

E-Print Network [OSTI]

In order to improve the energy performance of a district heating and cooling (DHC) system, retro-commissioning was analyzed using visualization method and simulation based on mathematical models, and improved operation schemes were proposed...

Shingu, H.; Nakajima, R.; Yoshida, H.; Wang, F.

2006-01-01T23:59:59.000Z

113

4th Generation District Heating (4GDH): Integrating smart thermal grids into future sustainable energy systems  

Science Journals Connector (OSTI)

Abstract This paper defines the concept of 4th Generation District Heating (4GDH) including the relations to District Cooling and the concepts of smart energy and smart thermal grids. The motive is to identify the future challenges of reaching a future renewable non-fossil heat supply as part of the implementation of overall sustainable energy systems. The basic assumption is that district heating and cooling has an important role to play in future sustainable energy systems – including 100 percent renewable energy systems – but the present generation of district heating and cooling technologies will have to be developed further into a new generation in order to play such a role. Unlike the first three generations, the development of 4GDH involves meeting the challenge of more energy efficient buildings as well as being an integrated part of the operation of smart energy systems, i.e. integrated smart electricity, gas and thermal grids.

Henrik Lund; Sven Werner; Robin Wiltshire; Svend Svendsen; Jan Eric Thorsen; Frede Hvelplund; Brian Vad Mathiesen

2014-01-01T23:59:59.000Z

114

Economics of power plant district and process heating in Richland, Washington  

SciTech Connect (OSTI)

The economic feasibility of utilizing hot water from nuclear reactors to provide district heating for private residences in Richland, Washington, and space and process heating for nearby offices, part of the Hanford Reservation, and the Lamb-Weston potato processing plant is assessed. Specifically, the practicality of using hot water from the Washington Public Power Supply System's WNP-1 reactor, which is currently under construction on the Hanford Reservation, just north of the City of Richland is established. World-wide experience with district heating systems and the advantages of using these systems are described. The GEOCITY computer model used to calculate district heating costs is described and the assumptions upon which the costs are based are presented. District heating costs for the city of Richland, process heating costs for the Lamb-Weston potato processing plant, district heating costs for the Horn Rapids triangle area, and process heating costs for the 300 and 3000 areas are discussed. An economic analysis is discussed and institutional restraints are summarized. (MCW)

Fassbender, L.L.; Bloomster, C.H.

1981-04-01T23:59:59.000Z

115

Exergy analysis of two geothermal district heating systems for building applications  

Science Journals Connector (OSTI)

This study evaluates the exergetic performance of two local Turkish geothermal district heating systems through exergy analysis. The exergy destructions in these geothermal district heating systems are quantified and illustrated using exergy flow diagrams for a reference temperature of 1 °C using the 2003 and 2004 actual seasonal heating data. The results indicate that the exergy destructions in these systems particularly occur due to losses in pump, heat exchangers, pipelines, and the reinjection of thermal water. Exergy efficiencies of the two systems are investigated for the system performance analysis and improvement and are determined to be 42.89% and 59.58%, respectively.

Leyla Ozgener; Arif Hepbasli; Ibrahim Dincer

2007-01-01T23:59:59.000Z

116

Piping network design of geothermal district heating systems: Case study for a university campus  

Science Journals Connector (OSTI)

Geothermal district heating system design consists of two parts: heating system and piping network design. District heating system design and a case study for a university campus is given in Yildirim et al. [1] in detail. In this study, piping network design optimisation is evaluated based on heat centre location depending upon the cost and common design parameters of piping networks which are pipe materials, target pressure loss (TPL) per unit length of pipes and installation type. Then a case study for the same campus is presented.

Nurdan Yildirim; Macit Toksoy; Gulden Gokcen

2010-01-01T23:59:59.000Z

117

Study on Performance Verification and Evaluation of District Heating and Cooling System Using Thermal Energy of River Water  

E-Print Network [OSTI]

September 16, 2014 NIKKEN SEKKEI Research Institute Naoki Takahashi Study on Performance Verification and Evaluation of District Heating and Cooling System Using Thermal Energy of River Water ESL-IC-14-09-19 Proceedings of the 14th International... of the 14th International Conference for Enhanced Building Operations, Beijing, China, September 14-17, 2014 District heating and cooling system in Nakanoshima 4 Characteristics of heat supply plant in Nakanoshima district -River water is utilized as heat...

Takahashi,N.; Niwa, H.; Kawano,M.; Koike,K.; Koga,O.; Ichitani, K.; Mishima,N.

2014-01-01T23:59:59.000Z

118

District heating/feasibility study for Jamestown, New York. Phase two. Final report  

SciTech Connect (OSTI)

This report details an investigation to implement district heating in Jamestown, New York. It is a technical and economic feasibility study of a hot-water district-heating system, using a municipal electric plant as the heat source and the downtown area as a source for customers. As a result of the project, the City of Jamestown built a district-heating system that was a service to four customers in 1984 and expanded to 14 customers in 1985. The City expects it to grow in 1986 and beyond. Customers are realizing a 20 to 30% savings in heating costs. The municipal electric plant burns coal and the system so far has displaced the equivalent of 1 million gallons of oil per year.

Oliker, I.

1986-04-01T23:59:59.000Z

119

Geothermal district heating applications in Turkey: a case study of Izmir–Balcova  

Science Journals Connector (OSTI)

Turkey is located on the Mediterranean sector of the Alpine–Himalayan Tectonic Belt and is among the first seven countries in abundance of geothermal resources around the world. However, the share of its potential used is only about 2%. This means that considerable studies on geothermal energy could be conducted in order to increase the energy supply and to reduce atmospheric pollution in Turkey. The main objective in doing the present study is twofold, namely: (a) to overview the status and future aspects of geothermal district heating applications in Turkey and (b) to present the Izmir–Balcova geothermal district heating system, which is one example of the high temperature district heating applications in Turkey. The first geothermal heating application was applied in 1981 to the Izmir–Balcova thermal facilities, where the downhole heat exchanger was also used for the first time. Besides this, the first city based geothermal district heating system has been operated in Balikesir–Gonen since 1987. Recently, the total installed capacity has reached 820 \\{MWt\\} for direct use. An annual average growth of 23% of the residences connected to geothermal district heating systems has been achieved since 1983 in the country, representing a decrease of 5% in the last three years. Present applications have shown that in Turkey, geothermal energy is much cheaper than the other energy sources, like fossil fuels, and can make a significant contribution towards reducing the emission of greenhouse gases.

A Hepbasli; C Canakci

2003-01-01T23:59:59.000Z

120

Table 1A","Refiner Acquisition Cost of Crude Oil by PAD District (Domestic  

U.S. Energy Information Administration (EIA) Indexed Site

A","Refiner Acquisition Cost of Crude Oil by PAD District (Domestic)" A","Refiner Acquisition Cost of Crude Oil by PAD District (Domestic)" ,"(Dollars per Barrel)" ,,," "," " ,,,"Previous ","Final" "Frequency","Date","Area","Price","Price","Difference" "Annual",2010,"PAD District 2",78.7,78.85,0.15 ,,"PAD District 4",73.65,73.56,-0.09 ,,"U.S.",77.96,78.01,0.05 ,2011,"PAD District 3",103.19,103.24,0.05 ,,"PAD District 2",96.82,96.81,-0.01 ,,"PAD District 4",89.36,89.34,-0.02 ,,"U.S.",100.74,100.71,-0.03 ,,"PAD District 5",103.85,103.83,-0.02 "Month","application/vnd.ms-excel","PAD District 4",73.68,72.66,-1.02

Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Simple models of district heating systems for load and demand side management  

E-Print Network [OSTI]

Simple models of district heating systems for load and demand side management and operational heating systems for load and demand side management and operational optimisation Simple modeller and demand side management and operational optimisation © 2004 by the authors, Department of Mechanical

122

District Heating and Cooling feasibility study, Salt Lake City, Utah: Final report  

SciTech Connect (OSTI)

The following is a general description of the Burns and Roe study of District Heating and Cooling Feasibility for Salt Lake City, Utah. The study assesses District Heating and Cooling (DHC) and develops a conceptual district system for Salt Lake City. In assessing District Heating and Cooling in Salt Lake City, the system conceived is evaluated to determine whether it is technically and economically viable. To determine technical viability, aspects such as implementation, pipe routing, and environmental restrictions are reviewed to foresee any technical problems that would arise as a result of DHC. To determine economic feasibility, the conceived system is priced to determine the capital cost to construct, and modeled in an economic analysis using anticipated operating and fuel costs to produce the required revenue necessary to run the system. Technical and Economic feasibility are predicated on many variables, including heating and cooling load, pipe routing, system implementation, and fuel costs. These variables have been investigated and demonstrate a substantial potential for DHC in Salt Lake City. Areas of consideration include the Downtown Area, Metropolitan Hall of Justice and surrounding area, and the Hotel District.

Not Available

1988-09-09T23:59:59.000Z

123

District Heating and Cooling Feasiblity Study, Salt Lake City, Utah: Final report  

SciTech Connect (OSTI)

The following is a general description of the Burns and Roe study of District Heating and Cooling Feasibility for Salt Lake City, Utah. The study assesses District Heating and Cooling (DHC) and develops a conceptual district system for Salt Lake city. In assessing District Heating and Cooling in Salt Lake City, the system conceived is evaluated to determine whether it is technically and economically viable. To determine technical viability, aspects such as implementation, pipe routing, and environmental restrictions are reviewed to foresee any technical problems that would arise as a result of DHC. To determine economic feasibility, the conceived system is priced to determine the capital cost to construct, and modeled in an economic analysis using anticipated operating and fuel costs to produce the required revenue necessary to run the system. Technical and Economic feasibility are predicated on many variables, including heating and cooling load, pipe routing, system implementation, and fuel costs. These variables have been investigated and demonstrate a substantial potential for DHC in Salt Lake City. Areas of consideration include the Downtown Area, Metropolitan Hall of Justice and surrounding area, and the Hotel District.

Not Available

1988-09-09T23:59:59.000Z

124

Alaska Gateway School District Adopts Combined Heat and Power  

Office of Energy Efficiency and Renewable Energy (EERE)

Tok School's use of a biomass combined heat and power system is helping the school to save on energy costs.

125

Table 40. No. 2 Diesel Fuel Prices by Sales Type, PAD District...  

Gasoline and Diesel Fuel Update (EIA)

District, and Selected States (Cents per Gallon Excluding Taxes) - Continued Geographic Area Month Sales to End Users Sales for Resale Commercial Institutional Consumers...

126

Cedarville School District Retrofit of Heating and Cooling Systems with Geothermal Heat Pumpsand Ground Source Water Loops  

Broader source: Energy.gov [DOE]

Project objectives: Improve the indoor air quality and lower the cost of cooling and heating the buildings that make up the campus of Cedarville High School and Middle School.; Provide jobs; and reduce requirements of funds for the capital budget of the School District; and thus give relief to taxpayers in this rural region during a period of economic recession.

127

Energy efficiency improvements utilising mass flow control and a ring topology in a district heating network  

Science Journals Connector (OSTI)

Abstract Heating and cooling have a major role in the energy sector, covering 46% of total final energy use worldwide. District heating (DH) is a significant technology for improving the energy efficiency of heating systems in communities, because it enables waste heat sources to be utilised economically and therefore significantly reduces the environmental impacts of power generation. As a result of new and more stringent construction regulations for buildings, the heat demands of individual buildings are decreasing and more energy-efficient heating systems have to be developed. In this study, the energy efficiency of a new DH system which includes both a new control system called mass flow control and a new network design called a ring network is examined. A topology in the Helsinki region is studied by using a commercial DH network modelling tool, Grades Heating. The district heating network is attached to a wood-burning heat station which has a heat recovery system in use. Examination is performed by means of both technical and economic analysis. The new non-linear temperature programme that is required is adopted for supply and return temperatures, which allows greater temperature cooling and smaller flow rates. Lower district heating water temperatures are essential when reducing the heat losses in the network and heat production. Mass flow control allows smaller pressure drops in the network and thus reduces the pumping power. The aim of this study was to determine the most energy-efficient DH water supply temperatures in the case network. If the ring network design is utilised, the district heating system is easier to control. As a result the total heat consumption within the heating season is reduced compared to traditional DH systems. On the basis of the results, the new DH system is significantly more energy-efficient in the case network that was examined than the traditional design. For example, average energy losses within the constraints (which consist of heat losses, pumping energy, and surplus energy from the heat recovery system) are reduced from 4.4% to 3.1%.

Tatu Laajalehto; Maunu Kuosa; Tapio Mäkilä; Markku Lampinen; Risto Lahdelma

2014-01-01T23:59:59.000Z

128

Performance investigation of the Afyon geothermal district heating system for building applications: Exergy analysis  

Science Journals Connector (OSTI)

This paper deals with an energy and exergy evaluation and modeling of geothermal district heating systems for their system analysis, performance evaluation and optimization. As a comprehensive case study, the Afyon geothermal district heating system (AFJET) in Afyon, Turkey is considered and actual thermal data are collected and employed for analysis. Using actual system data, an evaluation of the district heating system performance, energy and exergy efficiencies, and exergy destructions in the system are conducted in this regard. This study is also conducted to show how energy and exergy efficiencies of the \\{GDHSs\\} will change with the reference temperature and how exergy losses will affect by the temperature difference between the geothermal resource and the supply temperature of the district heating distribution network. In addition, the negative effects of discharge waters of the AFJET are presented. The energy and exergy efficiencies of the entire AFJET are found to be 37.59% and 47.54%, respectively. The results are expected to be helpful to researchers and engineers in the area.

Ali Keçeba?; Muhammet Kayfeci; Engin Gedik

2011-01-01T23:59:59.000Z

129

Substations for Decentralized Solar District Heating: Design, Performance and Energy Cost  

Science Journals Connector (OSTI)

Abstract The development of solar district heating is gaining more and more interest, but, in some case the space available for the integration of solar collectors on the ground is limited and the use of decentralized systems is necessary. For decentralized solar district heating systems different hydraulic schemes at the substation level, with or without local use of solar energy, are possible. The present paper detailed an advanced study on decentralized solar district heating system using dynamic simulation software. Nine different hydraulic schemes for substations have been investigated with a return to return feed in. For each scheme many parameters that influence the performance of the solar installation have been studied such as the district heating network return temperature, the solar collector area and the type of solar collector (low temperature or high temperature solar collector). The comparison between the different hydraulic schemes is based on thermal efficiency but also on solar energy cost using the methodology of the Levelized Cost Of Energy (LCOE).

Cedric Paulus; Philippe Papillon

2014-01-01T23:59:59.000Z

130

BSU GHP District Heating and Cooling System (PHASE I) Geothermal Project |  

Open Energy Info (EERE)

BSU GHP District Heating and Cooling System (PHASE I) Geothermal Project BSU GHP District Heating and Cooling System (PHASE I) Geothermal Project Jump to: navigation, search Last modified on July 22, 2011. Project Title BSU GHP District Heating and Cooling System (PHASE I) Project Type / Topic 1 Recovery Act - Geothermal Technologies Program: Ground Source Heat Pumps Project Type / Topic 2 Topic Area 1: Technology Demonstration Projects Project Description The Project will result in the construction of the largest ground source geothermal-based closed loop GHP heating and cooling system in America. Phase I of the Project began with the design, competitive bidding, and contract award for the drilling and "looping" of 1,800 boreholes in sports fields and parking lots on the north side of campus. The components of the entire Project include: (1) 4,100 four hundred feet deep boreholes spread over about 25 acres of sport fields and parking lots (Phase I will involve 1,800 boreholes spread over about 8 acres); (2) Each Phase will require a district energy station (about 9,000 sq. feet) that will each contain (A) two 2,500 ton heat pump chillers (which can produce 150 degree (F) water for heating purposes and 42 degree (F) water for cooling purposes); and (B) a variety of water pumps, electrical and other control systems; (3) a closed loop piping system that continuously circulates about 20,000 gallons of water (no anti-freeze) per minute through the boreholes, energy stations, a (two pipe) hot water loop and a (two pipe) chilled water loop (no water is drawn from the aquifer at any point in the operation); and (4) hot/chilled water-to-air heat exchangers in each of the buildings.

131

Geothermal energy and district heating in Ny-Ålesund, Svalbard .  

E-Print Network [OSTI]

??This thesis presents the possibilities for using shallow geothermal energy for heating purposes in Ny-Ålesund. The current energy supply in Ny-Ålesund is a diesel generator,… (more)

Iversen, Julianne

2013-01-01T23:59:59.000Z

132

Low Temperature Direct Use District Heating Geothermal Facilities | Open  

Open Energy Info (EERE)

Heating Geothermal Facilities Heating Geothermal Facilities Jump to: navigation, search Loading map... {"format":"googlemaps3","type":"ROADMAP","types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"limit":800,"offset":0,"link":"all","sort":[""],"order":[],"headers":"show","mainlabel":"","intro":"","outro":"","searchlabel":"\u2026 further results","default":"","geoservice":"google","zoom":false,"width":"600px","height":"350px","centre":false,"layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","icon":"","visitedicon":"","forceshow":true,"showtitle":true,"hidenamespace":false,"template":"Geothermal

133

Barriers and enablers to geothermal district heating system development in the United States  

Science Journals Connector (OSTI)

According to the US Energy Information Administration, space and hot water heating represented about 20% of total US energy demand in 2006. Given that most of this demand is met by burning natural gas, propane, and fuel oil, an enormous opportunity exists for directly utilizing indigenous geothermal energy as a cleaner, nearly emissions-free renewable alternative. Although the US is rich in geothermal energy resources, they have been frequently undervalued in America's portfolio of options as a means of offsetting fossil fuel emissions while providing a local, reliable energy source for communities. Currently, there are only 21 operating GDHS in the US with a capacity of about 100 MW thermal. Interviews with current US district heating operators were used to collect data on and analyze the development of these systems. This article presents the current structure of the US regulatory and market environment for GDHS along with a comparative study of district heating in Iceland where geothermal energy is extensively utilized. It goes on to review the barriers and enablers to utilizing geothermal district heating systems (GDHS) in the US for space and hot water heating and provides policy recommendations on how to advance this energy sector in the US.

Hildigunnur H. Thorsteinsson; Jefferson W. Tester

2010-01-01T23:59:59.000Z

134

Prospects for District Heating in the United States  

Science Journals Connector (OSTI)

...population, climate, and the insulation and floor space characteristics...systems received heat from thermal plants which employed large...5) were buried to the specifications of the cold water industry...adjusted to accommo-date the insulation cost and greater di-mensions...

J. Karkheck; J. Powell; E. Beardsworth

1977-03-11T23:59:59.000Z

135

Life Cycle Assessment of district heat production in a straw fired CHP plant  

Science Journals Connector (OSTI)

Abstract Due to concerns about the sustainability of the energy sector, conversion of biomass to energy is increasing its hold globally. Life Cycle Impact Assessment (LCIA) is being adopted as an analytical tool to assess the environmental impacts in the entire cycle of biomass production and conversions to different products. This study deals with the LCIA of straw conversion to district heat in a Combined Heat and Power (CHP) plant and in a district heating boiler (producing heat only). Environmental impact categories are Global Warming Potential (GWP), Acidification Potential (AP), aquatic and terrestrial Eutrophication Potential (EP) and Non-Renewable Energy (NRE) use. In the case of CHP, the co-produced electricity is assumed to displace the marginal Danish electricity mix. The current study showed that straw fired in the CHP plant would lead to a GWP of ?187 g CO2-eq, AP 0.01 m2 UES (un-protected ecosystem), aquatic EP 0.16 g NO3-eq, terrestrial EP 0.008 m2 UES, and NRE use ?0.14 MJ-primary per 1 MJ heat production. Straw conversion to heat in the CHP plant showed better environmental performances compared to the district heating boiler. Furthermore, removing straw from the field is related to the consequence e.g. decline in soil carbon sequestration, limiting soil nutrient availability, and when compared with natural gas the conversion of straw to heat would lead to a higher aquatic and terrestrial EP and AP. The study also outlays spaces for the detail sustainability assessment of straw conversion in a biorefinery and compare with the current study.

Ranjan Parajuli; Søren Løkke; Poul Alberg Østergaard; Marie Trydeman Knudsen; Jannick H. Schmidt?; Tommy Dalgaard

2014-01-01T23:59:59.000Z

136

Artificial neural network modeling of geothermal district heating system thought exergy analysis  

Science Journals Connector (OSTI)

This paper deals with an artificial neural network (ANN) modeling to predict the exergy efficiency of geothermal district heating system under a broad range of operating conditions. As a case study, the Afyonkarahisar geothermal district heating system (AGDHS) in Turkey is considered. The average daily actual thermal data acquired from the AGDHS in the 2009–2010 heating season are collected and employed for exergy analysis. An ANN modeling is developed based on backpropagation learning algorithm for predicting the exergy efficiency of the system according to parameters of the system, namely the ambient temperature, flow rate and well head temperature. Then, the recorded and calculated data conducted in the AGDHS at different dates are used for training the network. The results showed that the network yields a maximum correlation coefficient with minimum coefficient of variance and root mean square values. The results confirmed that the ANN modeling can be applied successfully and can provide high accuracy and reliability for predicting the exergy performance of geothermal district heating systems.

Ali Keçeba?; ?smail Yabanova; Mehmet Yumurtac?

2012-01-01T23:59:59.000Z

137

Energy and exergy analysis of geothermal district heating systems: an application  

Science Journals Connector (OSTI)

In this study we present an energy and exergy assessment and modeling of geothermal district heating systems for their system analysis, performance evaluation and optimization. A comprehensive case study is conducted in Balcova geothermal district heating system (BGDHS) in Izmir, Turkey and actual thermal data are collected and employed for analysis. Using actual system data, an assessment of the district heating system performance, energy and exergy efficiencies, and exergy destructions in the system is conducted in this regard. The exergy destructions in the overall BGDHS are quantified and illustrated using exergy flow diagram. Furthermore, both energy and exergy flow diagrams are exhibited for comparison purposes. It is observed through analysis that the exergy destructions in the system particularly take place as the exergy of the fluid lost in the pumps, the heat exchanger losses, the exergy of the thermal water (geothermal fluid) reinjected and the natural direct discharge (hot water distribution losses) of the system, accounting for 1.64%, 8.57%, 14.84% and 28.96%, respectively, of the total exergy input to the BGDHS. For system performance analysis and improvement, both energy and exergy efficiencies of the overall BGDHS are investigated and are determined to be 41.9% and 46%, respectively.

Leyla Ozgener; Arif Hepbasli; Ibrahim Dincer

2005-01-01T23:59:59.000Z

138

Thermal monitoring and optimization of geothermal district heating systems using artificial neural network: A case study  

Science Journals Connector (OSTI)

This paper deals with determine the energy and exergy efficiencies and exergy destructions for thermal optimization of a geothermal district heating system by using artificial neural network (ANN) technique. As a comprehensive case study, the Afyonkarahisar geothermal district heating system (AGDHS) in Afyonkarahisar/Turkey is considered and its actual thermal data as of average weekly data are collected in heating seasons during the period 2006–2010 for ANN based monitoring and thermal optimization. The measured data and calculated values are used at the design of Levenberg-Marquardt (LM) based multi-layer perceptron (MLP) in Matlab program. The results of the study are described graphically. The results show that the developed model is found to quickly predict the thermal performance and exergy destructions of the AGDHS with good accuracy. In addition, two main factors play important roles in the thermal optimization: (i) ambient temperature and (ii) flow rates in energy distribution cycle of the AGDHS. Various cases are investigated to determine how to change the energy and exergy efficiencies of the AGDHS for the temperature and flow rate. Finally, a monitoring and performance evaluation of a geothermal district heating system and its components by ANN will reduce the losses and human involvement and make the system more effective and efficient.

Ali Keçeba?; ?smail Yabanova

2012-01-01T23:59:59.000Z

139

Experimental evaluation of radiator control based on primary supply temperature for district heating substations  

Science Journals Connector (OSTI)

In this paper, we evaluate whether the primary supply temperature in district heating networks can be used to control radiator systems in buildings connected to district heating; with the purpose of increasing the ?T. The primary supply temperature in district heating systems can mostly be described as a function of outdoor temperature; similarly, the radiator supply temperature in houses, offices and industries can also be described as a function of outdoor temperature. To calibrate the radiator control system to produce an ideally optimal radiator supply temperature that produces a maximized ?T across the substation, the relationship between the primary supply temperature and outdoor temperature must be known. However, even if the relation is known there is always a deviation between the expected primary supply temperature and the actual temperature of the received distribution media. This deviation makes the radiator control system incapable of controlling the radiator supply temperature to a point that would generate a maximized ?T. Published simulation results show that it is possible and advantageous to utilize the primary supply temperature for radiator system control. In this paper, the simulation results are experimentally verified through implementation of the control method in a real district heating substation. The primary supply temperature is measured by the heat-meter and is shared with the radiator control system; thus no additional temperature sensors were needed to perform the experiments. However additional meters were installed for surveillance purposes. To maintain a stable indoor temperature at times when the primary supply and outdoor temperatures deviates from their assumed relation, the radiator system flow must be controlled by an additional control-loop. The results confirms that it is possible to control the radiator system based on the primary supply temperature while maintaining comfort; however, conclusions regarding improvements in ?T were hard to distinguish.

Jonas Gustafsson; Jerker Delsing; Jan van Deventer

2011-01-01T23:59:59.000Z

140

Assessment of district heating and cooling supply from Goudey Generating Station  

SciTech Connect (OSTI)

This paper addresses the feasibility analysis of retrofitting the New York State Electric and Gas (NYSEG) Goudey Generating Station for district heating and cooling supply to the SUNY-Binghamton Campus. The project involved detailed analysis of the power plant retrofit, dispatch analysis of the retrofitted Goudey Station in the New York Power Pool, environmental and permitting assessment, retrofit analysis of the SUNY campus to low temperature hot water and economic analysis.

McIntire, M.E.; Hall, D.; Beal, D.J. [New York State Electric & Gas Corporation, Binghamton, NY (United States)] [and others

1995-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Finding of No Significant Impact for the I'SOT Canby District Heating Project, Modoc County, California Final Environmental Assessment  

Broader source: Energy.gov (indexed) [DOE]

Coiorado 80401-3393 Coiorado 80401-3393 March 7, 2003 DOEEA-1460 FINDING OF NO SIGNIFICANT IMPACT For the IN SEARCH OF TRUTH CANBY DISTRICT HEATING PROJECT CANBY, MODOC COUNTY, CALIFORNIA AGENCY: U.S. Department of Energy, Golden Field Office ACTION: Finding of No Significant Impact (FONSI) SUMMARY: The U.S. Department of Energy (DOE) conducted an Environmental ,4ssessment (EA) of the In Search of Truth (I'SOT) Canby District Heating Project, Modoc County, California, to evaluate potential environmental impacts of project construction and operations for three years. DOE would provide partial fundin g, through its National Renewable Energy Laboratory (NREL), to I'SOT for the development and field verification of a small-scale, geothermal district heating system. Local district heating projects have the potential for widespread

142

Economic analysis of exergy efficiency based control strategy for geothermal district heating system  

Science Journals Connector (OSTI)

Abstract In this study, the exergy efficiency based control strategy (ExEBCS) for exergy efficiency maximization in geothermal district heating systems (GDHSs) is economically evaluated. As a real case study, the Afyon GDHS in the city of Afyonkarahisar/Turkey is considered. Its actual thermal data as of average weekly data are collected in heating seasons during the period 2006–2010 for artificial neural network (ANN) modeling. The ANN modeling of the Afyon GDHS is used as a test system to demonstrate the effectiveness and economic impact of the ExEBCS under various operating conditions. Then, the ExEBCS is evaluated economically in case of application to real Afyon GDHS of the ExEBCS. The results show that the initial cost for the ExEBCS is more expensive than that for the old one by 6.33 kUS$/year as a result of replacing automatic controller. The saving in heat production makes the ExEBCS profitable by up to 7% of annual energy saving as a result of the increase in the heat production by 88% when the control system is operated. This results in a short payback period of 3.8 years. This study confirms that the use of ExEBCS in district heating systems (especially GDHS) is quite suitable.

Ali Keçeba?; ?smail Yabanova

2013-01-01T23:59:59.000Z

143

Economic assessment of geothermal district heating systems: A case study of Balcova–Narlidere, Turkey  

Science Journals Connector (OSTI)

Geothermal energy is an important renewable energy resource in Turkey. The aim of this research is to evaluate the Balcova–Narlidere geothermal district heating system from an economic perspective. The system is the largest one in Turkey in terms of heating capacity and located in Izmir. Although there are some assessments regarding energy and exergy analysis for the Balcova–Narlidere geothermal district heating system, an economic assessment was not performed, previously. The profitability of the investment is investigated by using internal rate of return method. Seven hundred and eighty different scenarios are developed in this assessment. In order to estimate the potential cash flows in the remaining project life, operating cost in 2002 is decreased and increased, alternatively, between 5% and 30% by 5% in each step, while monthly energy utilization price is changed between US$ 17 and 72 in those scenarios. The energy utilization prices are suggested according to zero IRR value for all scenarios due to the consideration of social and environmental concerns in this investment. It is found that, the proper monthly energy utilization price for a 100 m2 household would be US$ 55.5 when the operating cost and heating capacity in 2002 were remained constant.

Berkan Erdogmus; Macit Toksoy; Baris Ozerdem; Niyazi Aksoy

2006-01-01T23:59:59.000Z

144

Assessment of district heating/cooling potential for the Frenchman's Cove redevelopment project. Final report  

SciTech Connect (OSTI)

A study undertaken to evaluate the potential for district heating/cooling (DHC) in the City of Ecorse, Michigan is documented. the purpose of the study was to assess the concept of delivering energy from a centralized source (or several sources) through a piping network to many end users for heating domestic (tap) hot water, space heating, and space cooling. The primary focus of the study was the proposed redevelopment of eighty acres in Ecorse along the Detroit River waterfront known as Frenchman's Cove. As planned, the complete development would place nearly 2 million square feet of new, mixed use structures/facilities on the site and an eighteen acre undeveloped island located 300 feet offshore. Other areas of the city were also examined to identify and evaluate existing supply and end use possibilities. In addition, several neighboring communities were examined to determine the feasibility of downriver DHC network. Six large thermal energy producers identified in the study area include the Detroit Edison River Rouge power plant (DECo.-RR), the Wyandotte Municipal Services Commission (WMSC) power plant, a BASF/Wyandotte Corporation plant, a Marathon Oil refinery, the Great Lakes Steel complex, and the E.C. Levy Company slag processing site. Each was examined for potential as a thermal supplier on a district heating network.

Not Available

1982-10-01T23:59:59.000Z

145

Potential benefits of a resource-recovery facility coupled with district heating in Detroit, Michigan  

SciTech Connect (OSTI)

The City of Detroit, Michigan, announced plans for a 2.7-Gg/d (3000-ton/d) Resource Recovery Facility to be located in the central part of the city. The facility will process and burn waste collected by the municipal forces. Steam generated in the facility's boilers will be used to produce electricity; the surplus electricity will be sold to the Detroit Edison Company. When needed by the Central Heating System (CHS), large portions of the steam can be extracted from the turbine and sold to the Detroit Edison Company. The facility will meet its primary purpose of greatly relieving Detroit's solid waste disposal problem. A second very important benefit is that it will be a source of reasonably priced steam for the CHS, which serves the downtown area. Detroit is now in a local depression, and the downtown areas have suffered urban decay. The city is focusing on the redevelopment of these areas, and a viable, cost-effective district heating system would be a major asset. Currently, the CHS is losing money, although it charges relatively high rates for steam, because it uses primarily natural gas to generate steam. The economic feasibility of converting the CHS's relatively oil boiler units to burn coal, a much cheaper fuel, is doubtful. The Resource Recovery Facility can provide CHS with a major part of its steam needs at competitive prices in the near future. This would do much to relieve the CHS's financial problems and help it to become a viable system. This, in turn, would assist the city in the redevelopment of the downtown areas. An overall strategy for district heating in Detroit is being developed. It is suggested that a comprehensive study of a regional district heating system in the city be made.

McLain, H.A.; Brinker, M.J.; Gatton, D.W.

1982-09-01T23:59:59.000Z

146

Table 3. Estimation Results for National and Sub-PAD District Regions  

Gasoline and Diesel Fuel Update (EIA)

3. Estimation Results for National and Sub-PAD District Regions 3. Estimation Results for National and Sub-PAD District Regions Dependent Variable: D(RETUS) Dependent Variable: D(RETPAD1X) Dependent Variable: D(RETPAD1Y) Dependent Variable: D(RETPAD1Z) Dependent Variable: D(RETCA) Sample: 1/03/2000 to 6/24/2002 Sample: 1/03/2000 to 6/24/2002 Sample: 1/03/2000 to 6/24/2002 Sample: 1/03/2000 to 6/24/2002 Sample: 5/29/2000 to 4/30/2001 11/05/2001 to 6/24/2002 Variable Coefficient Variable Coefficient Variable Coefficient Variable Coefficient Variable Coefficient C 0.005 C -0.001 C 0.017 C -0.013 C 0.013 (0.114) (0.101) (0.100) (0.112) (0.215) DSPOTUS(-1) 0.437*** DSPOTPAD1X(-1) 0.210*** DSPOTPAD1Y(-1) 0.249*** DSPOTPAD1Z(-1) 0.346*** DSPOTCA(-1) 0.241*** (0.026) (0.023) (0.023) (0.026) (0.031)

147

Energetic, exergetic, economic and environmental evaluations of geothermal district heating systems: An application  

Science Journals Connector (OSTI)

This study deals with an energetic and exergetic analysis as well as economic and environmental evaluations of Afyon geothermal district heating system (AGDHS) in Afyon, Turkey. In the analysis, actual system data are used to assess the district heating system performance, energy and exergy efficiencies, specific exergy index, exergetic improvement potential and exergy losses. And, for economic and environmental evaluations, actual data are obtained from the Technical Departments. The energy and exergy flow diagrams are clearly drawn to illustrate how much destructions/losses take place in addition to the inputs and outputs. For system performance analysis and improvement, both energy and exergy efficiencies of the overall AGDHS are determined to be 34.86% and 48.78%, respectively. The efficiency improvements in heat and power systems can help achieving energy security in an environmentally acceptable way by reducing the emissions that might otherwise occur. Present application has shown that in Turkey, geothermal energy is much cheaper than the other energy sources, like fossil fuels, and makes a significant contribution towards reducing the emissions of air pollution.

Ali Keçeba?

2013-01-01T23:59:59.000Z

148

Investigation of some renewable energy and exergy parameters for two Geothermal District Heating Systems  

Science Journals Connector (OSTI)

In this study, three new exergy parameters, namely total exergy destruction ratio, component exergy destruction ratio and dimensionless exergy destruction are introduced in addition to energetic renewability ratio, exergetic renewability ratio, energetic reinjection ratio and exergetic reinjection ratio, and compared for Edremit and Bigadic Geothermal District Heating Systems (GDHSs) based on their actual data. The respective daily graphs of these parameters are presented. Also, regression analyses using the actual data are performed to obtain some correlations for practical use. In brief, these parameters help us to identify the degree of renewability and other aspects and provide some insights.

C. Coskun; Z. Oktay; I. Dincer

2011-01-01T23:59:59.000Z

149

CBECS 1992 - Consumption & Expenditures, Detailed Tables  

U.S. Energy Information Administration (EIA) Indexed Site

Detailed Tables Detailed Tables Detailed Tables Figure on Energy Consumption in Commercial Buildings by Energy Source, 1992 Divider Line The 49 tables present detailed energy consumption and expenditure data for buildings in the commercial sector. This section provides assistance in reading the tables by explaining some of the headings for the data categories. It will also explain the use of row and column factors to compute both the confidence levels of the estimates given in the tables and the statistical significance of differences between the data in two or more categories. The section concludes with a "Quick-Reference Guide" to the statistics in the different tables. Categories of Data in the Tables After Table 3.1, which is a summary table, the tables are grouped into the major fuel tables (Tables 3.2 through 3.13) and the specific fuel tables (Tables 3.14 through 3.29 for electricity, Tables 3.30 through 3.40 for natural gas, Tables 3.41 through 3.45 for fuel oil, and Tables 3.46 through 3.47 for district heat). Table 3.48 presents energy management and DSM data as reported by the building respondent. Table 3.49 presents data on participation in electric utility-sponsored DSM programs as reported by both the building respondent and the electricity supplier.

150

Power Generation Using District Heat: Energy Efficient Retrofitted Plus-energy School Rostock  

Science Journals Connector (OSTI)

Abstract The Mathias-Thesen-School in Rostock/Germany is one of few schools which has been retrofitted as an Energy Plus building as part of the energy-efficient school research project “EnEff:Schule” sponsored by the German Ministry of Economics and Technology. The original building complex (build 1960, useful area 2200sqm) is being converted into a compact building by extending the main building with two new buildings connected by light-flooded buffer spaces. Both the existing building and the new buildings will be highly insulated. The low remaining heating demand will be covered using an innovative concept, made reasonable by the low primary energy factor of the district heat in Rostock: A small-scale Organic Rankine Cycle system generates electricity using high-temperature district heat. The excess heat of the generator is then used to heat the building via low-temperature distribution systems. In combination with two small-scale onsite wind turbines and building integrated photovoltaics a positive primary energy balance is achieved. For this balance, the development of the primary energy factors (PEF) of the German electricity mix is crucial: With rising generation from renewable energies the PEF of electricity in Germany is going to descent, leading to higher primary energy factors of cogeneration systems. In the Mathias-Thesen-School in Rostock a detailed monitoring system was installed, which has been checked and reworked for proper functioning. First measures to optimize the HVAC system and user comfort have been taken. The second construction phase will take place in 2014, after which the performance of the ORC system and the Energy Balance will be analyzed in detail.

Simon Winiger; Sebastian Herkel; Gesa Haroske

2014-01-01T23:59:59.000Z

151

Warren Estates-Manzanita Estates Reno, Nevada residential geothermal district heating system  

SciTech Connect (OSTI)

Warren Estates-Manzanita Estates is the largest privately-owned and operated residential geothermal district heating system in the State of Nevada. The system has operated for ten years and presently services 95 homes. Geothermal energy is used to heat homes, domestic water, spas, swimming pools, and greenhouses. Four homes have installed driveway deicing systems using geothermal energy. This paper briefly describes the geothermal resource, wells, system engineering, operation, applications, and economics. The accompanying posters illustrate the geothermal area, system design, and various applications. The resource is part of the Moana geothermal field, located in southwest Reno. Excluding the Warren-Manzanita Estates, the well-known Moana field supports nearly 300 geothermal wells that supply fluids to individual residences, several motels, a garden nursery, a few churches, and a municipal swimming pool. The Warren-Manzanita Estates is ideally suited for residential district space heating because the resource is shallow, moderate-temperature, and chemically benign. The primary reservoir rock is the Kate Peak andesite, a Tertiary volcanic lahar that has excellent permeability within the narrow fault zones that bisect the property. The Kate Peak formation is overlain by impermeable Tertiary lake sediments and alluvium. Two production wells, each about 240 m deep, are completed near the center of the residential development at the intersection of two fault zones. Geothermal fluids are pumped at a rate of 15 to 25 l/s (260-400 gpm) from one of two wells at a temperature of 95{degrees}C (202{degrees}F) to two flat-plate heat exchangers. The heat exchangers transfer energy from the geothermal fluids to a second fluid, much like a binary geothermal power plant.

McKay, F.; McKay, G.; McKay, S.; Flynn, T. [McKay Pump and Drilling, Reno, NV (United States)

1995-12-31T23:59:59.000Z

152

Table A1. Refiner/Reseller Motor Gasoline Prices by Grade, PAD District  

Gasoline and Diesel Fuel Update (EIA)

PAD District I 1984 ...................................... 92.3 84.8 NA NA 102.5 92.4 91.6 84.2 1985 ...................................... 93.6 85.2 NA NA 104.2 93.3 93.4 85.2 1986 ...................................... 63.9 53.2 NA NA 76.1 62.1 65.3 55.2 1987 ...................................... 67.5 57.7 NA NA 80.5 68.2 69.9 60.6 1988 ...................................... 67.1 56.1 NA NA 81.3 68.7 70.8 60.2 1989 ...................................... 74.1 62.7 82.0 70.0 90.5 76.7 79.4 67.9 1990 ...................................... 87.6 77.7 94.8 83.2 101.9 89.0 91.8 81.5 1991 ...................................... 79.2 70.6 87.5 75.7 95.9 83.2 83.8 74.2 1992 ...................................... 74.0 65.1 84.1 71.4 93.0 78.4 79.6 69.3 1993 ...................................... 69.7 59.0 80.2 66.1

153

Table A1. Refiner/Reseller Motor Gasoline Prices by Grade, PAD District  

Gasoline and Diesel Fuel Update (EIA)

PAD District I 1984 ...................................... 92.3 84.8 NA NA 102.5 92.4 91.6 84.2 1985 ...................................... 93.6 85.2 NA NA 104.2 93.3 93.4 85.2 1986 ...................................... 63.9 53.2 NA NA 76.1 62.1 65.3 55.2 1987 ...................................... 67.5 57.7 NA NA 80.5 68.2 69.9 60.6 1988 ...................................... 67.1 56.1 NA NA 81.3 68.7 70.8 60.2 1989 ...................................... 74.1 62.7 82.0 70.0 90.5 76.7 79.4 67.9 1990 ...................................... 87.6 77.7 94.8 83.2 101.9 89.0 91.8 81.5 1991 ...................................... 79.2 70.6 87.5 75.7 95.9 83.2 83.8 74.2 1992 ...................................... 74.0 65.1 84.1 71.4 93.0 78.4 79.6 69.3 1993 ...................................... 69.7 59.0 80.2 66.1

154

District heating and cooling feasibility study for Dover, Delaware: Final report (September 2, 1986-May 31, 1988)  

SciTech Connect (OSTI)

The following is a general description of the Burns and Roe study for Dover, Delaware. The study assesses the feasibility of district heating in Dover, Delaware, and develops a conceptual district heating system. The system would use the McKee Run Station, and a new boiler plant as the heat source, and the area surrounding the plant and the legislative areas as the heat load. The study assesses the available heat load for the city, determines the available heat from the McKee Run Station, and develops a conceptual distribution network and system implementation plan. The study analyzes the environmental impacts, institutional issues, and project economics of the conceptual system. 24 figs., 26 tabs.

Not Available

1988-04-11T23:59:59.000Z

155

Energetic and economic evaluations of geothermal district heating systems by using ANN  

Science Journals Connector (OSTI)

This paper proposes an artificial neural network (ANN) technique as a new approach to evaluate the energy input, losses, output, efficiency, and economic optimization of a geothermal district heating system (GDHS). By using ANN, an energetic analysis is evaluated on the Afyon geothermal district heating system (AGDHS) located in the city of Afyonkarahisar, Turkey. Promising results are obtained about the economic evaluation of that system. This has been used to determine if the existing system is operating at its optimal level, and will provide information about the optimal design and profitable operation of the system. The results of the study show that the ANN model used for the prediction of the energy performance of the AGDHS has good statistical performance values: a correlation coefficient of 0.9983 with minimum RMS and MAPE values. The total cost for the AGDHS is profitable when the PWF is higher than 7.9. However, the PWF of the AGDHS was found to be 1.43 for the given values. As a result, while installing a GDHS, one should take into account the influences of the PWF, ambient temperature and flow rate on the total costs of the system in any location where it is to be established.

Ali Keçeba?; Mehmet Ali Alkan; ?smail Yabanova; Mehmet Yumurtac?

2013-01-01T23:59:59.000Z

156

Accumulated CFC-11 in polyurethane foam insulation: an estimate of the total amount in district heating installations in Sweden  

Science Journals Connector (OSTI)

In rigid polyurethane foam used for thermal insulation, CFC-11 has been the main blowing agent for many years, but is now subject to phase-out regulations. During ageing of this foam, air diffuses into it and blowing agents leak into the atmosphere, resulting in a decreased insulating capacity. Determinations of the cell gas composition and the total content of CFC-11 in foam from district heating installations of different ages are reported in this paper. The total amount of CFC-11 in old district heating schemes in Sweden is estimated at 2000 tonnes. The amount in refrigeration equipment in Sweden is about twice as large.

M. Svanstrom

1996-01-01T23:59:59.000Z

157

"Table B21. Space-Heating Energy Sources, Floorspace, 1999"  

U.S. Energy Information Administration (EIA) Indexed Site

1. Space-Heating Energy Sources, Floorspace, 1999" 1. Space-Heating Energy Sources, Floorspace, 1999" ,"Total Floorspace (million square feet)" ,"All Buildings","All Buildings with Space Heating","Space-Heating Energy Sources Used (more than one may apply)" ,,,"Electricity","Natural Gas","Fuel Oil","District Heat","Propane","Othera" "All Buildings ................",67338,61612,32291,37902,5611,5534,2728,945 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6774,5684,2651,3250,598,"Q",469,"Q" "5,001 to 10,000 ..............",8238,7090,2808,4613,573,"Q",688,"Q" "10,001 to 25,000 .............",11153,9865,5079,6069,773,307,682,"Q"

158

"Table B26. Water-Heating Energy Sources, Floorspace, 1999"  

U.S. Energy Information Administration (EIA) Indexed Site

6. Water-Heating Energy Sources, Floorspace, 1999" 6. Water-Heating Energy Sources, Floorspace, 1999" ,"Total Floorspace (million square feet)" ,"All Buildings","All Buildings with Water Heating","Water-Heating Energy Sources Used (more than one may apply)" ,,,"Electricity","Natural Gas","Fuel Oil","District Heat","Propane" "All Buildings ................",67338,56115,24171,29196,2218,4182,1371 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6774,4280,2307,1719,"Q","Q","Q" "5,001 to 10,000 ..............",8238,5748,2287,3204,"Q","Q","Q" "10,001 to 25,000 .............",11153,9000,4220,4221,224,164,493

159

"Table B23. Primary Space-Heating Energy Sources, Floorspace, 1999"  

U.S. Energy Information Administration (EIA) Indexed Site

3. Primary Space-Heating Energy Sources, Floorspace, 1999" 3. Primary Space-Heating Energy Sources, Floorspace, 1999" ,"Total Floorspace (million square feet)" ,"All Buildings","All Buildings with Space Heating","Primary Space-Heating Energy Source Useda" ,,,"Electricity","Natural Gas","Fuel Oil","District Heat" "All Buildings ................",67338,61602,17627,32729,3719,5077 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6774,5684,1567,3080,482,"Q" "5,001 to 10,000 ..............",8238,7090,1496,4292,557,"Q" "10,001 to 25,000 .............",11153,9865,3035,5320,597,232 "25,001 to 50,000 .............",9311,8565,2866,4416,486,577

160

Exergoeconomic analysis of a district heating system for geothermal energy using specific exergy cost method  

Science Journals Connector (OSTI)

Abstract This study presents the exergoeconomic analysis and evaluation in order to provide cost based information and suggests possible locations/components in a GDHS (geothermal district heating system) for improving the cost effectiveness. The analysis is based on the SPECO (specific exergy costing) method, and used to calculate exergy-related parameters and display cost flows for all streams and components. As a real case study, the Afyon GDHS in Turkey is considered based on actual operational data. The obtained results show that the unit exergy cost of heat produced by the Afyon GDHS is calculated as average 5624 $/h. The HEX (heat exchanger)-III among all components should be improved quickly due to the high total operating cost rate and relative cost difference. The HEX-I and PM (pump)-V have the highest exergoeconomic factors among all other system components due to the high owning and operating costs of these components. The heat production costs per exergy unit for all the \\{HEXs\\} decrease due to the high exergy destruction cost rate of the system, while the well head temperature and ambient temperature increase. The SPECO method may be used to improve the cost effectiveness according to exergy rates in \\{GDHSs\\} as a thermal system.

Mehmet Ali Alkan; Ali Keçeba?; Nurettin Yamankaradeniz

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

I'SOT Canby District Heating Project, Modoc County, California Final Environmental Assessment  

Broader source: Energy.gov (indexed) [DOE]

March 17, 2003 Dear Stakeholder: SUBJECT: NOTICE OF AVAILABILITY OF FINAL ENVIRONMENTAL ASSESSMENT OF THE PROPOSED IN SEARCH OF TRUTH CANBY DISTRICT HEATING PROJECT, MODOC COUNTY, CALIFORNIA (DOE/EA 1460) The U.S. Department of Energy's (DOE's) Golden Field Office (GO) has issued the final Environmental Assessment (EA) and a Finding of No Significant Impact (FONSI) for the subject geothermal project. These documents are available online in the GO electronic reading room at www.golden.doe.gov. Copies of the documents can be obtained by contacting Steve Blazek at the address and telephone number listed below. GO has prepared the final EA and FONSI in accordance with the National Environmental Policy Act (NEPA) and DOE's NEPA implementation guidance.

162

Comparing advanced exergetic assessments of two geothermal district heating systems for residential buildings  

Science Journals Connector (OSTI)

Abstract Advanced exergy analysis method has been increasingly utilized in analyzing and assessing the performance of energy-related systems in recent years due to more deeply investigating the exergy destructions. In this study, two various geothermal district heating systems (GDHSs), the Afyon and Bigadiç GDHSs, which have been operated in Turkey, were considered to perform their advanced exergy analyses and assessments. The \\{GDHSs\\} studied were also compared with each other for the first time in terms of advanced exergetic aspects. In the analyses and calculations of the GDHS, the actual operational data obtained from the measurements and technical staff were utilized. The overall conventional and advanced exergetic efficiency values for the Afyon GDHS are determined to be 27.53% and 34.72% while those for the Bigadiç GDHS are obtained to be 21.03% and 32.52%, respectively. Considering both the interactions among components and the potential for improving components, more effective and efficient improvement priorities were proposed.

Ali Keçeba?; Can Coskun; Zuhal Oktay; Arif Hepbasli

2014-01-01T23:59:59.000Z

163

District heating/cooling potential in New York City. phase 1. Final report  

SciTech Connect (OSTI)

New York City through its Energy Office has identified and evaluated the technical and economic feasibility of district heating and cooling at three locations: Brooklyn Navy Yard, Kings County Medical Complex, and the S.W. Brooklyn Incinerator. Of these the Navy Yard has the most immediate potential for implementation. The Navy Yard has an extensive steam and electrical system that has not been used since the Navy turned most of the property over to New York City more than a decade ago. By remodeling several of the smaller boilers still in place or purchasing new boilers, an ample supply of steam and hot water can be produced. The steam will be used for heating and industrial process for the industrial tenants now occupying the former yards. Hot water will be sold to the New York City Housing Authority to heat between 3,500 and 5,000 nearby public housing units operated by the authority. Electricity will be cogenerated using present generators that will be overhauled. It is expected that some of the electricity will be used directly to supply power to a planned nearby Red Hook Sewage Treatment plant, while most will be sold to the industrial tenants of the Navy Yard. Studies will continue to determine the best market for excess power.

McLoughlin, G.T.; Kuo, R.P.; Karol, J.

1983-02-01T23:59:59.000Z

164

Energetic and exergetic performance investigation of the Bigadic Geothermal District Heating System in Turkey  

Science Journals Connector (OSTI)

In this study a comprehensive performance analysis of the Bigadic Geothermal District Heating System (GDHS) in Balikesir, Turkey is performed through thermodynamic assessment in terms of energy and exergy efficiencies. The actual thermal data taken from the Technical Department of the GDHS are utilized in the analysis to determine the exergy destructions in each component of the system and the overall energy and exergy efficiencies of the system for two reference temperatures taken as 15.6 °C for November (e.g., case 1) and 11 °C for December (e.g., case 2). The energy and exergy flow diagrams are clearly drawn to illustrate how much destructions/losses take place in addition to the inputs and outputs. The average energy and exergy efficiencies are found to be 30% and 36% for case 1, and 40% and 49% for case 2, respectively. The key reason as to why the exergy efficiencies are higher is because the heat recovery option is used through the reinjection processes which make use of waste heat. A parametric study is also conducted to show how energy and exergy flows change with the environment temperature. The results are expected to be helpful to researchers and engineers in the area.

Z. Oktay; C. Coskun; I. Dincer

2008-01-01T23:59:59.000Z

165

Effect of reference state on the exergoeconomic evaluation of geothermal district heating systems  

Science Journals Connector (OSTI)

Abstract The exergy cost structure of the geothermal district heating system (GDHS) is investigated by using an exergoeconomic method called as the modified productive structure analysis (MOPSA). A parametric study is also conducted to show how exergy cost flow rates change with the reference state (ambient temperature). As a comprehensive case study, the Afyon GDHS in Afyonkarahisar, Turkey is considered. The actual thermal data taken from the technical staffs as 2.3 °C for January (case 1) and 10.2 °C for February (case 2), 2010 in 100% load condition are collected for this study. Mechanical and thermal exergy flow rates, entropy production rates and exergy cost flow rates for each component in the Afyon GDHS are calculated using these two actual data sets. The results show that the exergy efficiencies of the overall system for these two cases are found to be 25.34% and 22.78%, respectively. And, the largest exergy cost loss occurs in the heat exchangers with 52.49% and 64.91% for cases 1 and 2, respectively. The unit exergy costs are found as cP>cT>cS>cQ for the actual data sets in each case. In addition, ambient temperature has a big impact on the exergies and costs of GDHSs.

Ali Keçeba?

2013-01-01T23:59:59.000Z

166

Testing residential energy pricing in the Krakow, Poland, municipal district heat system  

SciTech Connect (OSTI)

While understanding of the operation of the price and rebate mechanism may be imperfect in the United States, in Poland most of the necessary infrastructure simply does not exist. Of all the former Soviet-bloc countries, Poland has moved the quickest to a market economy; however, the stresses have been and continue to be significant, particularly on the pensioned. The energy sector of the economy is still centrally planned while the legal framework for a transition to a regulated market is created. Some utilities have made more rapid progress than others in the transition. This paper describes the first year of an experiment involving design, implementation, and analysis of a pilot pricing, conservation, and heating system control experiment in 264 apartments in four buildings. The results--and experience in the United States--will be used to guide the pricing decisions of the municipal district heat utility and the conservation and air quality strategies of the Krakow development authority. Development of a price incentive strategy involved considerations of public policy toward fixed-income occupants and ownership of energy metering. Thermostats were installed to permit occupant control, and building-level conservation and control techniques were implemented. Physical constraints required the use of German ``cost allocator`` metering technology at the apartment level. Final subsidy or ``pseudo-pricing`` design included-building-level incentives as well as apartment performance inducements. Results include insights on communication and cultural impacts and guidance for future testing as well as energy conservation effectiveness values.

Wisnewski, R.; Reeves, G. [George Reeves Associates, Inc., Lake Hopatcong, NJ (United States); Markiewicz, J. [Fundacja na Rzecz Efektywnego Wykorzystania Energii w Krakowie, Krakow (Poland)

1995-08-01T23:59:59.000Z

167

Exergoeconomic analysis of the Gonen geothermal district heating system for buildings  

Science Journals Connector (OSTI)

This paper presents an application of an exergoeconomic model, through exergy and cost accounting analyses, to the Gonen geothermal district heating system (GDHS) in Balikesir, Turkey for the entire system and its components. This exergoeconomic model is used to reveal the cost formation process and the productive interaction between components. The exergy destructions in the overall Gonen GDHS are quantified and illustrated for a reference temperature of 4 °C. The results indicate that the exergy destructions in the system occur primarily as a result of losses in the cooled geothermal water injected back into the reservoir, pumps, heat exchangers, and pipelines. Total exergy destruction and reinjection exergy of the cooled geothermal water result in 1010 kW (accounting for 32.49%), 320.3 kW (accounting for 10%) of the total exergy input to the Gonen GDHS, respectively. Both energy and exergy efficiencies of the overall Gonen GDHS are also investigated to analyze the system performance, as these efficiencies are determined to be 42% and 50%, respectively. It is found that an increase of the load condition leads to a decrease in the overall thermal costs, which will result in more cost-effective energy systems for buildings.

Z. Oktay; I. Dincer

2009-01-01T23:59:59.000Z

168

Operation and performance of a 350 kW (100 RT) single-effect/double-lift absorption chiller in a district heating network  

SciTech Connect (OSTI)

The efficiency of combined heat, power, and cold production in total energy systems could be improved significantly if absorption chillers were available that could be driven with limited mass flows of low-temperature hot water. In the case of district heat-driven air conditioning, for example, currently available standard absorption chillers are often not applied because they cannot provide the low hot water return temperature and the specific cooling capacity per unit hot water mass flow that are required by many district heating networks. Above all, a drastic increase in the size of the machine (total heat exchanger area) due to low driving temperature differences if of concern in low-temperature applications. A new type of multistage lithium bromide/water absorption chiller has been developed for the summertime operating conditions of district heating networks. It provides large cooling of the district heating water (some 30 K) and large cooling capacity per unit hot water mass flow. Two pilot plants of this novel absorption chiller were designed within the framework of a joint project sponsored by the German Federal Ministry of Education, Science, Research and Technology (BMBF), a consortium of 15 district heating utilities, and two manufacturers. The plants have been operated since summer 1996 in the district heating networks of Berlin and Duesseldorf. This paper describes the concept, installation, and control strategy of the two pilot plants, and it surveys the performance and operating experience of the plants under varying practical conditions.

Schweigler, C.J.; Preissner, M.; Demmel, S.; Hellmann, H.M.; Ziegler, F.F. [ZAE Bayern, Garching/Munich (Germany)

1998-10-01T23:59:59.000Z

169

Reduction in air emissions attainable through implementation of district heating and cooling  

SciTech Connect (OSTI)

District heating and cooling (DHC) can provide multiple opportunities to reduce air emissions associated with space conditioning and electricity generation, which contribute 30% to 50% of all such emissions. When DHC is combined with cogeneration (CHP), maximum reductions in sulfur oxides (SO{sub x}), nitrogen oxides (NO{sub x}), carbon dioxide (CO{sub 2}), particulates, and ozone-depleting chlorofluorocarbon (CFC) refrigerants can most effectively be achieved. Although significant improvements in air quality have been documented in Europe and Scandinavia due to DHC and CHP implementation, accurately predicting such improvements has been difficult. Without acceptable quantification methods, regulatory bodies are reluctant to grant air emissions credits, and local community leaders are unwilling to invest in DHC and CHP as preferred methods of providing energy or strategies for air quality improvement. The recent development and release of a number of computer models designed specifically to provide quantification of air emissions that can result from DHC and CHP implementation should help provide local, state, and national policymakers with information vital to increasing support and investment in DHC development.

Bloomquist, R.G. [Washington State Energy Office, Olympia, WA (United States)

1996-12-31T23:59:59.000Z

170

Effects of different operating conditions of Gonen geothermal district heating system on its annual performance  

Science Journals Connector (OSTI)

Abstract In this paper, the effects of different operating conditions of the Gonen geothermal district heating system (GDHS) on its annual energy and exergy performance are investigated. The system parameters such as temperature, pressure and flow rate are monitored by using fixed and portable measuring instruments over a one-year period. Thus the main differences in the annual system operation are detected. The measurements show that the Gonen GDHS has six different operating cases depending on the outside temperature throughout the year. The energy and exergy analysis of the system is carried out for each case using the actual system parameters at the corresponding reference temperatures, which are 3.86, 7.1, 8.88, 11.83, 15.26 and 20.4 °C. The highest and lowest energy (57.32%, 35.64%) and exergy (55.76%, 41.42%) efficiencies of the overall system are calculated at the reference temperatures of 15.26 °C and 3.86 °C, respectively. Besides, taking the six case-based energy and exergy analyses into account, the annual average energy and exergy efficiencies are determined to be 45.24% and 47.33%, respectively.

Asiye Aslan; Bedri Yüksel; Tu?rul Akyol

2014-01-01T23:59:59.000Z

171

An economic comparison and evaluation of two geothermal district heating systems for advanced exergoeconomic analysis  

Science Journals Connector (OSTI)

Abstract This paper refers to an economic comparison and evaluation of two geothermal district heating systems (GDHSs) under same reference state condition and mechanic/economic parameters by using an advanced exergoeconomic analysis. In this analysis, costs of investment and exergy destruction of each component for the thermal systems such as the Afyon and Sarayköy \\{GDHSs\\} were split into endogenous/exogenous and unavoidable/avoidable parts, and were also compared with each other for the first time. The results obtained show that the advanced exergoeconomic analysis makes the information more accurate and useful, and supplies additional information that cannot be provided by the conversional analysis. Furthermore, the Afyon GDHS can be made more cost effectiveness, removing the system components’ irreversibilities, technical-economic limitations, and poorly chosen manufacturing methods, according to the Sarayköy GDHS. The majority of the components in the Sarayköy GDHS are to operate more economically than those in the Afyon GDHS. As a result, the usefulness of this method was clearly demonstrated comparing both the systems.

P?nar Keçeba?; Harun Gökgedik; Mehmet Ali Alkan; Ali Keçeba?

2014-01-01T23:59:59.000Z

172

Thermodynamic and economic evaluations of a geothermal district heating system using advanced exergy-based methods  

Science Journals Connector (OSTI)

Abstract In this paper, a geothermal district heating system (GDHS) is comparatively evaluated in terms of thermodynamic and economic aspects using advanced exergy-based methods to identify the potential for improvement, the interactions among system components, and the direction and potential for energy savings. The actual operational data are taken from the Sarayköy GDHS, Turkey. In the advanced exergetic and exergoeconomic analyses, the exergy destruction and the total operating cost within each component of the system are split into endogenous/exogenous and unavoidable/avoidable parts. The advantages of these analyses over conventional ones are demonstrated. The results indicate that the advanced exergy-based method is a more meaningful and effective tool than the conventional one for system performance evaluation. The exergetic efficiency and the exergoeconomic factor of the overall system for the Sarayköy GDHS were determined to be 43.72% and 5.25% according to the conventional tools and 45.06% and 12.98% according to the advanced tools. The improvement potential and the total cost-savings potential of the overall system were also determined to be 2.98% and 14.05%, respectively. All of the pumps have the highest improvement potential and total cost-savings potential because the pumps were selected to have high power during installation at the Sarayköy GDHS.

Mehmet Tan; Ali Keçeba?

2014-01-01T23:59:59.000Z

173

Extension and improvement of Central Station District heating budget period 1 and 2, Krakow Clean Fossil Fuels and Energy Efficiency Program. Final report  

SciTech Connect (OSTI)

Project aim was to reduce pollution levels in the City of Krakow through the retirement of coal-fired (hand and mechanically-stoked) boiler houses. This was achieved by identifying attractive candidates and connecting them to the Krakow district heating system, thus permitting them to eliminate boiler operations. Because coal is less costly than district hot water, the district heating company Miejskie Przedsiebiorstwo Energetyki Cieplnej S.A., henceforth identified as MPEC, needed to provide potential customers with incentives for purchasing district heat. These incentives consisted of offerings which MPEC made to the prospective client. The offerings presented the economic and environmental benefits to district heating tie-in and also could include conservation studies of the facilities, so that consumption of energy could be reduced and the cost impact on operations mitigated. Because some of the targeted boiler houses were large, the capacity of the district heating network required enhancement at strategic locations. Consequently, project construction work included both enhancement to the district piping network as well as facility tie-ins. The process of securing new customers necessitated the strengthening of MPEC`s competitive position in Krakow`s energy marketplace, which in turn required improvements in marketing, customer service, strategic planning, and project management. Learning how US utilities address these challenges became an integral segment of the project`s scope.

NONE

1997-07-01T23:59:59.000Z

174

Retrofitting the Strogino district heat supply station with construction of a 260-MW combined-cycle power plant (Consisting of two PGU-130 combined-cycle power units)  

Science Journals Connector (OSTI)

The retrofitting carried out at the Strogino district heat supply station and the specific features of works accomplished in the course of constructing the thermal power station based on a combined-cycle power pl...

V. F. Aleksandrov

2010-02-01T23:59:59.000Z

175

Differential rates for district heating and the influence on the optimal retrofit strategy for multi-family buildings  

Science Journals Connector (OSTI)

When renovating existing multi-family buildings it is very important to implement the best retrofit strategy possible in order to minimize the remaining life-cycle cost for the building. If the building is heated with district heating this strategy of course changes due to the energy rate used by the utility. It is also very important for the utility that the consumer is encouraged to save energy when there is a need for it, i.e. during peak load conditions. Our paper shows that an accurate cost differential rate provides all these facilities.

Stig-Inge Gustafsson; Björn G. Karlsson; Bertil H. Sjöholm

1987-01-01T23:59:59.000Z

176

District Energy Technologies | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

through the centralized system. District energy systems often operate with combined heat and power (CHP) and waste heat recovery technologies. Learn more about district...

177

Community Renewable Energy Success Stories Webinar: District...  

Broader source: Energy.gov (indexed) [DOE]

District Heating with Renewable Energy (text version) Community Renewable Energy Success Stories Webinar: District Heating with Renewable Energy (text version) Below is the text...

178

User manual for AQUASTOR: a computer model for cost analysis of aquifer thermal energy storage coupled with district heating or cooling systems. Volume I. Main text  

SciTech Connect (OSTI)

A computer model called AQUASTOR was developed for calculating the cost of district heating (cooling) using thermal energy supplied by an aquifer thermal energy storage (ATES) system. The AQUASTOR model can simulate ATES district heating systems using stored hot water or ATES district cooling systems using stored chilled water. AQUASTOR simulates the complete ATES district heating (cooling) system, which consists of two principal parts: the ATES supply system and the district heating (cooling) distribution system. The supply system submodel calculates the life-cycle cost of thermal energy supplied to the distribution system by simulating the technical design and cash flows for the exploration, development, and operation of the ATES supply system. The distribution system submodel calculates the life-cycle cost of heat (chill) delivered by the distribution system to the end-users by simulating the technical design and cash flows for the construction and operation of the distribution system. The model combines the technical characteristics of the supply system and the technical characteristics of the distribution system with financial and tax conditions for the entities operating the two systems into one techno-economic model. This provides the flexibility to individually or collectively evaluate the impact of different economic and technical parameters, assumptions, and uncertainties on the cost of providing district heating (cooling) with an ATES system. This volume contains the main text, including introduction, program description, input data instruction, a description of the output, and Appendix H, which contains the indices for supply input parameters, distribution input parameters, and AQUASTOR subroutines.

Huber, H.D.; Brown, D.R.; Reilly, R.W.

1982-04-01T23:59:59.000Z

179

A comparative study on substation types and network layouts in connection with low-energy district heating systems  

Science Journals Connector (OSTI)

The study deals with low-energy District Heating (DH) networks operating in low temperatures such as 55 °C in terms of supply and 25 °C in terms of return. The network layout, additional booster pumps, and different substation types such as storage tanks either equipped or not equipped in domestic hot water production site were examined. Effects of booster pumps on pipe dimensions in the latter case were investigated. Temperature drops during the summer months due to low heat demands of consumers were explored. Use of approaches such as looped networks and branched network layouts with bypasses for end-consumers were also studied, heat loss from these networks and the drop in temperature in the heat-carrier-supply medium being compared.

Hakan ?brahim Tol; Svend Svendsen

2012-01-01T23:59:59.000Z

180

City of Vineland, New Jersey district heating/cooling feasibility study: Final report  

SciTech Connect (OSTI)

This study assesses the available heat load, determines the available heat from the heat sources, develops a distribution network, develops a system implementation plan, assesses the environmental impacts, addresses institutional issues, and analyzes the economics of the conceptual system.

Not Available

1986-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

PAD District  

U.S. Energy Information Administration (EIA) Indexed Site

District District and State Production Capacity Alkylates Aromatics Asphalt and Road Oil Isomers Lubricants Marketable Petroleum Coke Sulfur (short tons/day) Hydrogen (MMcfd) Table 2. Production Capacity of Operable Petroleum Refineries by PAD District and State as of January 1, 2013 (Barrels per Stream Day, Except Where Noted) a 91,429 10,111 26,500 110,165 21,045 21,120 74 1,127 PAD District I Delaware 11,729 5,191 0 6,000 0 13,620 40 596 Georgia 0 0 24,000 0 0 0 0 0 New Jersey 37,200 0 63,500 4,000 12,000 7,500 31 290 Pennsylvania 42,500 4,920 22,065 16,500 2,945 0 0 240 West Virginia 0 0 600 0 6,100 0 3 1 268,106 95,300 159,000 260,414 9,100 158,868 584 7,104 PAD District II Illinois 83,900 19,900 38,100 16,000 0 70,495 202 2,397 Indiana 27,200 16,800 33,700 27,100 0 10,000 0 653

182

"Table B27. Space Heating Energy Sources, Floorspace for Non-Mall Buildings, 2003"  

U.S. Energy Information Administration (EIA) Indexed Site

7. Space Heating Energy Sources, Floorspace for Non-Mall Buildings, 2003" 7. Space Heating Energy Sources, Floorspace for Non-Mall Buildings, 2003" ,"Total Floorspace (million square feet)" ,"All Buildings*","Buildings with Space Heating","Space-Heating Energy Sources Used (more than one may apply)" ,,,"Elec- tricity","Natural Gas","Fuel Oil","District Heat","Propane","Other a" "All Buildings* ...............",64783,60028,28600,36959,5988,5198,3204,842 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6789,5668,2367,2829,557,"Q",665,183 "5,001 to 10,000 ..............",6585,5786,2560,3358,626,"Q",529,"Q" "10,001 to 25,000 .............",11535,10387,4872,6407,730,289,597,"Q"

183

"Table B32. Water-Heating Energy Sources, Floorspace for Non-Mall Buildings, 2003"  

U.S. Energy Information Administration (EIA) Indexed Site

2. Water-Heating Energy Sources, Floorspace for Non-Mall Buildings, 2003" 2. Water-Heating Energy Sources, Floorspace for Non-Mall Buildings, 2003" ,"Total Floorspace (million square feet)" ,"All Buildings*","Buildings with Water Heating","Water-Heating Energy Sources Used (more than one may apply)" ,,,"Elec- tricity","Natural Gas","Fuel Oil","District Heat","Propane" "All Buildings* ...............",64783,56478,27490,28820,1880,3088,1422 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6789,4759,2847,1699,116,"N",169 "5,001 to 10,000 ..............",6585,5348,2821,2296,"Q","Q",205 "10,001 to 25,000 .............",11535,9562,4809,4470,265,"Q",430

184

"Table B29. Primary Space-Heating Energy Sources, Total Floorspace for Non-Mall Buildings, 2003"  

U.S. Energy Information Administration (EIA) Indexed Site

9. Primary Space-Heating Energy Sources, Total Floorspace for Non-Mall Buildings, 2003" 9. Primary Space-Heating Energy Sources, Total Floorspace for Non-Mall Buildings, 2003" ,"Total Floorspace (million square feet)" ,"All Buildings*","Buildings with Space Heating","Primary Space-Heating Energy Source Used a" ,,,"Electricity","Natural Gas","Fuel Oil","District Heat" "All Buildings* ...............",64783,60028,15996,32970,3818,4907 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6789,5668,1779,2672,484,"Q" "5,001 to 10,000 ..............",6585,5786,1686,3068,428,"Q" "10,001 to 25,000 .............",11535,10387,3366,5807,536,"Q" "25,001 to 50,000 .............",8668,8060,2264,4974,300,325

185

,,,"Electricity","Natural Gas","Fuel Oil","District Heat","District Chilled Water","Propane","Othera"  

U.S. Energy Information Administration (EIA) Indexed Site

8. Energy Sources, Floorspace, 1999" 8. Energy Sources, Floorspace, 1999" ,"Total Floorspace (million square feet)" ,"All Buildings","All Buildings Using Any Energy Source","Energy Sources Used (more than one may apply)" ,,,"Electricity","Natural Gas","Fuel Oil","District Heat","District Chilled Water","Propane","Othera" "All Buildings ................",67338,65753,65716,45525,13285,5891,2750,6290,2322 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6774,6309,6280,3566,620,"Q","Q",635,292 "5,001 to 10,000 ..............",8238,7721,7721,5088,583,"Q","Q",986,"Q"

186

Determination of optimum pipe diameter along with energetic and exergetic evaluation of geothermal district heating systems: Modeling and application  

Science Journals Connector (OSTI)

This study deals with determination of optimum pipe diameters based on economic analysis and the performance analysis of geothermal district heating systems along with pipelines using energy and exergy analysis methods. In this regard, the Dikili geothermal district heating system (DGDHS) in Izmir, Turkey is taken as an application place, to which the methods presented here are applied with some assumptions. The system mainly consists of three cycles, namely (i) the transportation network, (ii) the Danistay region, and (iii) the Bariskent region. The thermal capacities of these regions are 21,025 and 7975 kW, respectively, while the supply (flow) and return temperature values of those are 80 and 50 °C, respectively. Based upon the assessment of the transportation network using the optimum diameter analysis method, minimum cost is calculated to be US$ 561856.906 year?1 for a nominal diameter of DN 300. The exergy destructions in the overall DGDHS are quantified and illustrated using exergy flow diagram. Furthermore, both energy and exergy flow diagrams are exhibited for comparison purposes. It is observed through analysis that the exergy destructions in the system particularly take place due to the exergy of the thermal water (geothermal fluid) reinjected, the heat exchanger losses, and all pumps losses, accounting for 38.77%, 10.34%, 0.76% of the total exergy input to the DGDHS. Exergy losses are also found to be 201.12817 kW and 1.94% of the total exergy input to the DGDHS for the distribution network. For the system performance analysis and improvement, both energy and exergy efficiencies of the overall DGDHS are investigated, while they are determined to be 40.21% and 50.12%, respectively.

Yildiz Kalinci; Arif Hepbasli; Ismail Tavman

2008-01-01T23:59:59.000Z

187

Thermodynamic evaluation of the Afyon geothermal district heating system by using neural network and neuro-fuzzy  

Science Journals Connector (OSTI)

In this study, energy and exergy analysis of the Afyon geothermal district heating system (AGDHS) in Afyon, Turkey using artificial neural network (ANN) and adaptive neuro-fuzzy (ANFIS) methods is carried out. Actual system data in the analysis of the AGDHS are used. The results of ANN are compared with ANFIS in which the same data sets are used. ANN model is slightly better than ANFIS in determining the energy and exergy rates. In addition, new formulations obtained from ANN are presented for the determination of the energy and exergy rates of the AGDHS. The R2-values obtained when unknown data were used in the networks were 0.999999847 and 0.99999997 for the energy and exergy rates respectively, which are very satisfactory.

Arzu ?encan ?ahin; Hilmi Yaz?c?

2012-01-01T23:59:59.000Z

188

A comparative study on conventional and advanced exergetic analyses of geothermal district heating systems based on actual operational data  

Science Journals Connector (OSTI)

This paper comparatively evaluates exergy destructions of a geothermal district heating system (GDHS) using both conventional and advanced exergetic analysis methods to identify the potential for improvement and the interactions among the components. As a real case study, the Afyon GDHS in Afyonkarahisar, Turkey, is considered based on actual operational data. For the first time, advanced exergetic analysis is applied to the GDHSs, in which the exergy destruction rate within each component is split into unavoidable/avoidable and endogenous/exogenous parts. The results indicate that the interconnections among all the components are not very strong. Thus, one should focus on how to reduce the internal inefficiency (destruction) rates of the components. The highest priority for improvement in the advanced exergetic analysis is in the re-injection pump (PM-IX), while it is the heat exchanger (HEX-III) in the conventional analysis. In addition, there is a substantial influence on the overall system as the total avoidable exergy destruction rate of the heat exchanger (HEX-V) has the highest value. On the overall system basis, the value for the conventional exergetic efficiency is determined to be 29.29% while that for the modified exergetic efficiency is calculated to be 34.46% through improving the overall components.

Arif Hepbasli; Ali Keçeba?

2013-01-01T23:59:59.000Z

189

District heating and cooling systems for communities through power plant retrofit distribution network. Phase 2. Final report, March 1, 1980-January 31, 1984. Volume IV  

SciTech Connect (OSTI)

This volume contains the following: discussion of cost estimating methodology, detailed cost estimates of Hudson No. 2 retrofit, intermediate thermal plant (Kearny No. 12) and local heater plants; transmission and distribution cost estimate; landfill gas cost estimate; staged development scenarios; economic evaluation; fuel use impact; air quality impact; and alternatives to district heating.

Not Available

1984-01-31T23:59:59.000Z

190

Preliminary Retro-Commissioning Study on Optimal Operation for the Heat Source System of a District Heating Cooling Plant  

E-Print Network [OSTI]

Heating Water Suuply Chilled Water Return Heating Water Return To User New System ESL-IC-08-10-57 Proceedings of the Eighth International Conference for Enhanced Building Operations, Berlin, Germany, October 20-22, 2008 2 attract attention due..., R6 450 1, 1 ESL-IC-08-10-57 Proceedings of the Eighth International Conference for Enhanced Building Operations, Berlin, Germany, October 20-22, 2008 3 (one office building and one building with hotel rooms and leisure facilities) since November...

Shingu, H.; Yoshida, H.; Wang, F.; Ono, E.

191

Energy efficiency and carbon dioxide emissions reduction opportunities in district heating source in Tianjin  

Science Journals Connector (OSTI)

Building a trading market can promote energy conservation provided that the trading method is determined. Energy consumption for heat supply is huge. Tianjin Municipal Government is planning to establish an energ...

Gaofeng Chen; Xuejing Zheng; Lin Cong

2012-09-01T23:59:59.000Z

192

,,,"Electricity","Natural Gas","Fuel Oil","District Heat","District Chilled Water","Propane","Othera"  

U.S. Energy Information Administration (EIA) Indexed Site

7. Energy Sources, Number of Buildings, 1999" 7. Energy Sources, Number of Buildings, 1999" ,"Number of Buildings (thousand)" ,"All Buildings","All Buildings Using Any Energy Source","Energy Sources Used (more than one may apply)" ,,,"Electricity","Natural Gas","Fuel Oil","District Heat","District Chilled Water","Propane","Othera" "All Buildings ................",4657,4403,4395,2670,434,117,50,451,153 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",2348,2193,2186,1193,220,"Q","Q",215,93 "5,001 to 10,000 ..............",1110,1036,1036,684,74,"Q","Q",124,"Q" "10,001 to 25,000 .............",708,689,688,448,65,24,"Q",74,19

193

Table B28. Percent of Floorspace Heated, Number of Buildings and Floorspace, 199  

U.S. Energy Information Administration (EIA) Indexed Site

8. Percent of Floorspace Heated, Number of Buildings and Floorspace, 1999" 8. Percent of Floorspace Heated, Number of Buildings and Floorspace, 1999" ,"Number of Buildings (thousand)",,,,,"Total Floorspace (million square feet)" ,"All Buildings","Not Heated","1 to 50 Percent Heated","51 to 99 Percent Heated","100 Percent Heated","All Buildings","Not Heated","1 to 50 Percent Heated","51 to 99 Percent Heated","100 Percent Heated" "All Buildings ................",4657,641,576,627,2813,67338,5736,7593,10745,43264 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",2348,366,230,272,1479,6774,1091,707,750,4227 "5,001 to 10,000 ..............",1110,164,194,149,603,8238,1148,1504,1177,4409

194

District cooling gets hot  

SciTech Connect (OSTI)

Utilities across the country are adopting cool storage methods, such as ice-storage and chilled-water tanks, as an economical and environmentally safe way to provide cooling for cities and towns. The use of district cooling, in which cold water or steam is pumped to absorption chillers and then to buildings via a central community chiller plant, is growing strongly in the US. In Chicago, San Diego, Pittsburgh, Baltimore, and elsewhere, independent district-energy companies and utilities are refurbishing neglected district-heating systems and adding district cooling, a technology first developed approximately 35 years ago.

Seeley, R.S.

1996-07-01T23:59:59.000Z

195

Table A56. Number of Establishments by Total Inputs of Energy for Heat, Powe  

U.S. Energy Information Administration (EIA) Indexed Site

Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," " by Industry Group, Selected Industries, and" " Presence of Industry-Specific Technologies for Selected Industries, 1994: Part 2" ,,,"RSE" "SIC",,,"Row" "Code(a)","Industry Group and Industry","Total(b)","Factors" ,"RSE Column Factors:",1 20,"FOOD and KINDRED PRODUCTS" ,"Industry-Specific Technologies" ,"One or More Industry-Specific Technologies Present",2353,9 ," Infrared Heating",607,13 ," Microwave Drying",127,21 ," Closed-Cycle Heat Pump System Used to Recover Heat",786,19

196

"Table HC14.4 Space Heating Characteristics by West Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

4 Space Heating Characteristics by West Census Region, 2005" 4 Space Heating Characteristics by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Space Heating Characteristics",,,"Mountain","Pacific" "Total",111.1,24.2,7.6,16.6 "Do Not Have Space Heating Equipment",1.2,0.7,"Q",0.7 "Have Main Space Heating Equipment",109.8,23.4,7.5,16 "Use Main Space Heating Equipment",109.1,22.9,7.4,15.4 "Have Equipment But Do Not Use It",0.8,0.6,"Q",0.5 "Main Heating Fuel and Equipment" "Natural Gas",58.2,14.7,4.6,10.1 "Central Warm-Air Furnace",44.7,11.4,4,7.4

197

"Table HC12.4 Space Heating Characteristics by Midwest Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

4 Space Heating Characteristics by Midwest Census Region, 2005" 4 Space Heating Characteristics by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Space Heating Characteristics",,,"East North Central","West North Central" "Total",111.1,25.6,17.7,7.9 "Do Not Have Space Heating Equipment",1.2,"Q","Q","N" "Have Main Space Heating Equipment",109.8,25.6,17.7,7.9 "Use Main Space Heating Equipment",109.1,25.6,17.7,7.9 "Have Equipment But Do Not Use It",0.8,"N","N","N" "Main Heating Fuel and Equipment"

198

"Table HC13.4 Space Heating Characteristics by South Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

4 Space Heating Characteristics by South Census Region, 2005" 4 Space Heating Characteristics by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Space Heating Characteristics",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Do Not Have Space Heating Equipment",1.2,"Q","Q","N","Q" "Have Main Space Heating Equipment",109.8,40.3,21.4,6.9,12 "Use Main Space Heating Equipment",109.1,40.1,21.2,6.9,12 "Have Equipment But Do Not Use It",0.8,"Q","Q","N","N"

199

"Table HC7.5 Space Heating Usage Indicators by Household Income, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

5 Space Heating Usage Indicators by Household Income, 2005" 5 Space Heating Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Space Heating Usage Indicators" "Total U.S. Housing Units",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Do Not Have Heating Equipment",1.2,0.5,0.3,0.2,"Q",0.2,0.3,0.6 "Have Space Heating Equipment",109.8,26.2,28.5,20.4,13,21.8,16.3,37.9 "Use Space Heating Equipment",109.1,25.9,28.1,20.3,12.9,21.8,16,37.3

200

Table A54. Number of Establishments by Total Inputs of Energy for Heat, Powe  

U.S. Energy Information Administration (EIA) Indexed Site

Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," " by Industry Group, Selected Industries, and" " Presence of General Technologies, 1994: Part 2" ,," "," ",," "," ",," "," "," "," " ,,,,"Computer Control" ,," "," ","of Processes"," "," ",," "," ",," " ,," ","Computer Control","or Major",,,"One or More"," ","RSE" "SIC"," ",,"of Building","Energy-Using","Waste Heat"," Adjustable-Speed","General Technologies","None","Row"

Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Table A10. Total Inputs of Energy for Heat, Power, and Electricity...  

U.S. Energy Information Administration (EIA) Indexed Site

0. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Fuel Type, Industry Group, Selected Industries, and End Use, 1994:" " Part 2" " (Estimates in Trillion...

202

User manual for GEOCITY: a computer model for cost analysis of geothermal district-heating-and-cooling systems. Volume I. Main text  

SciTech Connect (OSTI)

The purpose of this model is to calculate the costs of residential space heating, space cooling, and sanitary water heating or process heating (cooling) using geothermal energy from a hydrothermal reservoir. The model can calculate geothermal heating and cooling costs for residential developments, a multi-district city, or a point demand such as an industrial factory or commercial building. GEOCITY simulates the complete geothermal heating and cooling system, which consists of two principal parts: the reservoir and fluid transmission system and the distribution system. The reservoir and fluid transmission submodel calculates the life-cycle cost of thermal energy supplied to the distribution system by simulating the technical design and cash flows for the exploration, development, and operation of the reservoir and fluid transmission system. The distribution system submodel calculates the life-cycle cost of heat (chill) delivered by the distribution system to the end-users by simulating the technical design and cash flows for the construction and operation of the distribution system. Geothermal space heating is assumed to be provided by circulating hot water through radiators, convectors, fan-coil units, or other in-house heating systems. Geothermal process heating is provided by directly using the hot water or by circulating it through a process heat exchanger. Geothermal space or process cooling is simulated by circulating hot water through lithium bromide/water absorption chillers located at each building. Retrofit costs for both heating and cooling applications can be input by the user. The life-cycle cost of thermal energy from the reservoir and fluid transmission system to the distribution system and the life-cycle cost of heat (chill) to the end-users are calculated using discounted cash flow analysis.

Huber, H.D.; Fassbender, L.L.; Bloomster, C.H.

1982-09-01T23:59:59.000Z

203

Table HC6.5 Space Heating Usage Indicators by Number of Household Members, 2005  

U.S. Energy Information Administration (EIA) Indexed Site

5 Space Heating Usage Indicators by Number of Household Members, 2005 5 Space Heating Usage Indicators by Number of Household Members, 2005 Total U.S. Housing Units.................................. 111.1 30.0 34.8 18.4 15.9 12.0 Do Not Have Heating Equipment..................... 1.2 0.3 0.3 Q 0.2 0.2 Have Space Heating Equipment....................... 109.8 29.7 34.5 18.2 15.6 11.8 Use Space Heating Equipment........................ 109.1 29.5 34.4 18.1 15.5 11.6 Have But Do Not Use Equipment.................... 0.8 Q Q Q Q Q Space Heating Usage During 2005 Heated Floorspace (Square Feet) None............................................................ 3.6 1.0 0.8 0.5 0.5 0.7 1 to 499........................................................ 6.1 3.0 1.6 0.6 0.6 0.3 500 to 999.................................................... 27.7 11.6 8.3 3.6 2.7 1.6 1,000 to 1,499..............................................

204

Table A55. Number of Establishments by Total Inputs of Energy for Heat, Powe  

U.S. Energy Information Administration (EIA) Indexed Site

Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," " by Industry Group, Selected Industries, and" " Presence of Cogeneration Technologies, 1994: Part 2" ,,,"Steam Turbines",,,,"Steam Turbines" ,," ","Supplied by Either","Conventional",,,"Supplied by","One or More",," " " "," ",,"Conventional","Combustion ","Combined-Cycle","Internal Combustion","Heat Recovered from","Cogeneration",,"RSE" "SIC"," ",,"or Fluidized","Turbines with","Combustion","Engines with","High-Temperature","Technologies","None","Row"

205

DistrictHeating Nuevasaladecalderasydistribucin  

E-Print Network [OSTI]

­ EMISIONES SOx=0% - BAJA EMISI�N NOx y ahorro de emisiones de 202 Ton CO2/año. - Mejora paisajística del

Fraguela, Basilio B.

206

Table A45. Total Inputs of Energy for Heat, Power, and Electricity Generation  

U.S. Energy Information Administration (EIA) Indexed Site

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Enclosed Floorspace, Percent Conditioned Floorspace, and Presence of Computer" " Controls for Building Environment, 1991" " (Estimates in Trillion Btu)" ,,"Presence of Computer Controls" ,," for Buildings Environment",,"RSE" "Enclosed Floorspace and"," ","--------------","--------------","Row" "Percent Conditioned Floorspace","Total","Present","Not Present","Factors" " "," " "RSE Column Factors:",0.8,1.3,0.9 "ALL SQUARE FEET CATEGORIES" "Approximate Conditioned Floorspace"

207

Table A32. Total Consumption of Offsite-Produced Energy for Heat, Power, and  

U.S. Energy Information Administration (EIA) Indexed Site

Consumption of Offsite-Produced Energy for Heat, Power, and" Consumption of Offsite-Produced Energy for Heat, Power, and" " Electricity Generation by Value of Shipment Categories, Industry Group, and" " Selected Industries, 1991" " (Estimates in Trillion Btu)" ,,,,"Value of Shipments and Receipts(b)" ,,,," (million dollars)" ,," ","-","-","-","-","-","-","RSE" ," "," "," ",,,,,500,"Row" "Code(a)","Industry Groups and Industry","Total","Under 20","20-49","50-99","100-249","250-499","and Over","Factors"," "," "," "," "," "

208

Table A31. Total Inputs of Energy for Heat, Power, and Electricity Generation  

U.S. Energy Information Administration (EIA) Indexed Site

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Value of Shipment Categories, Industry Group, and Selected Industries, 1991" " (Continued)" " (Estimates in Trillion Btu)",,,,"Value of Shipments and Receipts(b)" ,,,," (million dollars)" ,,,"-","-","-","-","-","-","RSE" "SIC"," "," "," "," "," "," "," ",500,"Row" "Code(a)","Industry Groups and Industry","Total","Under 20","20-49","50-99","100-249","250-499","and Over","Factors"

209

Table HC4.4 Space Heating Characteristics by Renter-Occupied Housing Unit, 2005  

U.S. Energy Information Administration (EIA) Indexed Site

.4 Space Heating Characteristics by Renter-Occupied Housing Unit, 2005 .4 Space Heating Characteristics by Renter-Occupied Housing Unit, 2005 Million U.S. Housing Units Total................................................................ 111.1 33.0 8.0 3.4 5.9 14.4 1.2 Do Not Have Space Heating Equipment....... 1.2 0.6 Q Q Q 0.3 Q Have Main Space Heating Equipment.......... 109.8 32.3 8.0 3.3 5.8 14.1 1.1 Use Main Space Heating Equipment............ 109.1 31.8 8.0 3.2 5.6 13.9 1.1 Have Equipment But Do Not Use It.............. 0.8 0.5 N Q Q Q Q Main Heating Fuel and Equipment Natural Gas.................................................. 58.2 16.4 4.5 2.1 3.2 6.2 0.3 Central Warm-Air Furnace........................ 44.7 10.0 3.3 1.4 1.6 3.3 0.3 For One Housing Unit........................... 42.9 8.6 3.3 1.2 1.4 2.4 0.3 For Two Housing Units..........................

210

Table HC6.4 Space Heating Characteristics by Number of Household Members, 2005  

U.S. Energy Information Administration (EIA) Indexed Site

4 Space Heating Characteristics by Number of Household Members, 2005 4 Space Heating Characteristics by Number of Household Members, 2005 Total..................................................................... 111.1 30.0 34.8 18.4 15.9 12.0 Do Not Have Space Heating Equipment............ 1.2 0.3 0.3 Q 0.2 0.2 Have Main Space Heating Equipment............... 109.8 29.7 34.5 18.2 15.6 11.8 Use Main Space Heating Equipment................. 109.1 29.5 34.4 18.1 15.5 11.6 Have Equipment But Do Not Use It................... 0.8 Q Q Q Q Q Main Heating Fuel and Equipment Natural Gas....................................................... 58.2 15.6 18.0 9.5 8.4 6.7 Central Warm-Air Furnace............................. 44.7 10.7 14.3 7.6 6.9 5.2 For One Housing Unit................................ 42.9 10.1 13.8 7.3 6.5 5.2 For Two Housing Units...............................

211

Table HC3.4 Space Heating Characteristics by Owner-Occupied Housing Unit, 2005  

U.S. Energy Information Administration (EIA) Indexed Site

.4 Space Heating Characteristics by Owner-Occupied Housing Unit, 2005 .4 Space Heating Characteristics by Owner-Occupied Housing Unit, 2005 Million U.S. Housing Units Total................................................................ 111.1 78.1 64.1 4.2 1.8 2.3 5.7 Do Not Have Space Heating Equipment....... 1.2 0.6 0.3 N Q Q Q Have Main Space Heating Equipment.......... 109.8 77.5 63.7 4.2 1.8 2.2 5.6 Use Main Space Heating Equipment............ 109.1 77.2 63.6 4.2 1.8 2.1 5.6 Have Equipment But Do Not Use It.............. 0.8 0.3 Q N Q Q Q Main Heating Fuel and Equipment Natural Gas.................................................. 58.2 41.8 35.3 2.8 1.2 1.0 1.6 Central Warm-Air Furnace........................ 44.7 34.8 29.7 2.3 0.7 0.6 1.4 For One Housing Unit........................... 42.9 34.3 29.5 2.3 0.6 0.6 1.4 For Two Housing Units..........................

212

TABLE19.CHP:Corel VENTURA  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Table 19. PAD District IV-Year-to-Date Supply, Disposition, and Ending Stocks of Crude Oil and Petroleum (Thousand Barrels) January-July 2004 Products, Crude Oil...

213

TABLE15.CHP:Corel VENTURA  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Table 15. PAD District III-Year-to-Date Supply, Disposition, and Ending Stocks of Crude Oil and Petroleum (Thousand Barrels) January-July 2004 Products, Crude Oil...

214

TABLE11.CHP:Corel VENTURA  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

(Thousand Barrels) Table 11. PAD District II-Year-to-Date Supply, Disposition, and Ending Stocks of Crude Oil and Petroleum January-July 2004 Products, Crude Oil...

215

Effects of boosting the supply temperature on pipe dimensions of low-energy district heating networks: A case study in Gladsaxe, Denmark  

Science Journals Connector (OSTI)

Abstract This paper presents a method for the dimensioning of the low-energy District Heating (DH) piping networks operating with a control philosophy of supplying heat in low-temperature such as 55 °C in supply and 25 °C in return regularly while the supply temperature levels are being boosted in cold winter periods. The performance of the existing radiators that were formerly sized with over-dimensions was analyzed, its results being used as input data for the performance evaluation of the piping network of the low-energy DH system operating with the control philosophy in question. The optimization method was performed under different mass flow limitations that were formed with various temperature configurations. The results showed that reduction in the mass flow rate requirement of a district is possible by increasing the supply temperature in cold periods with significant reduction in heat loss from the DH network. Sensitivity analysis was carried out in order to evaluate the area of applicability of the proposed method. Hence varied values of the original capacity and the current capacity of the existing radiators were evaluated with the design temperature values that were defined by two former radiator sizing standards.

Hakan ?. Tol; Svend Svendsen

2014-01-01T23:59:59.000Z

216

District heating and cooling systems for communities through power plant retrofit distribution network, Phase 2. Final report, March 1, 1980-January 31, 1984. Volume 5, Appendix A  

SciTech Connect (OSTI)

This volume contains the backup data for the portion of the load and service assessment in Section 2, Volume II of this report. This includes: locations of industrial and commercial establishments, locations of high rise buildings, data from the Newark (Essex County) Directory of Business, data from the Hudson County Industrial Directory, data from the N. J. Department of Energy Inventory of Public Buildings, data on commercial and industrial establishments and new developments in the Hackensack Meadowlands, data on urban redevelopment and Operation Breakthrough, and list of streets in the potential district heating areas of Newark/Harrison and Jersey City/Hoboken.

Not Available

1984-01-31T23:59:59.000Z

217

"Table HC12.8 Water Heating Characteristics by Midwest Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

8 Water Heating Characteristics by Midwest Census Region, 2005" 8 Water Heating Characteristics by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Water Heating Characteristics",,,"East North Central","West North Central" "Total",111.1,25.6,17.7,7.9 "Number of Water Heaters" "1.",106.3,24.5,17.1,7.4 "2 or More",3.7,0.9,0.5,0.4 "Do Not Use Hot Water",1.1,"Q","Q","Q" "Housing Units Served by Main Water Heater" "One Housing Unit",99.7,23.5,16.2,7.3 "Two or More Housing Units",10.3,1.9,1.4,0.5 "Do Not Use Hot Water",1.1,"Q","Q","Q"

218

"Table HC13.8 Water Heating Characteristics by South Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

8 Water Heating Characteristics by South Census Region, 2005" 8 Water Heating Characteristics by South Census Region, 2005" " Million U.S. Housing Units" ,,"South Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total South" "Water Heating Characteristics",,,"South Atlantic","East South Central","West South Central" "Total",111.1,40.7,21.7,6.9,12.1 "Number of Water Heaters" "1.",106.3,39,21.1,6.6,11.3 "2 or More",3.7,1.5,0.5,0.3,0.7 "Do Not Use Hot Water",1.1,"Q","Q","N","Q" "Housing Units Served by Main Water Heater" "One Housing Unit",99.7,38.2,20.2,6.7,11.3 "Two or More Housing Units",10.3,2.4,1.5,0.2,0.7

219

"Table HC14.8 Water Heating Characteristics by West Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

8 Water Heating Characteristics by West Census Region, 2005" 8 Water Heating Characteristics by West Census Region, 2005" " Million U.S. Housing Units" ,,"West Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total West" "Water Heating Characteristics",,,"Mountain","Pacific" "Total",111.1,24.2,7.6,16.6 "Number of Water Heaters" "1.",106.3,23.2,7.1,16.1 "2 or More",3.7,1,0.4,0.6 "Do Not Use Hot Water",1.1,"Q","Q","N" "Housing Units Served by Main Water Heater" "One Housing Unit",99.7,21.9,7.1,14.8 "Two or More Housing Units",10.3,2.3,0.4,1.9 "Do Not Use Hot Water",1.1,"Q","Q","N"

220

Table A50. Total Inputs of Energy for Heat, Power, and Electricity Generatio  

U.S. Energy Information Administration (EIA) Indexed Site

A50. Total Inputs of Energy for Heat, Power, and Electricity Generation" A50. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Industry Group, Selected Industries, and Type of" " Energy-Management Program, 1994" " (Estimates in Trillion Btu)" ,,,," Census Region",,,"RSE" "SIC",,,,,,,"Row" "Code(a)","Industry Group and Industry","Total","Northeast","Midwest","South","West","Factors" ,"RSE Column Factors:",0.7,1.2,1.1,0.9,1.2 "20-39","ALL INDUSTRY GROUPS" ,"Participation in One or More of the Following Types of Programs",12605,1209,3303,6386,1706,2.9

Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Table A39. Selected Combustible Inputs of Energy for Heat, Power, and  

U.S. Energy Information Administration (EIA) Indexed Site

9. Selected Combustible Inputs of Energy for Heat, Power, and" 9. Selected Combustible Inputs of Energy for Heat, Power, and" " Electricity Generation and Net Demand for Electricity by Fuel Type, Census" " Region, and End Use, 1991: Part 2" " (Estimates in Trillion Btu)" ,,,"Distillate",,,"Coal" ,"Net Demand",,"Fuel Oil",,,"(excluding","RSE" ,"for","Residual","and",,,"Coal Coke","Row" "End-Use Categories","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","LPG","and Breeze)","Factors" "Total United States" "RSE Column Factors:",0.4,1.7,1.5,0.7,1,1.6

222

Table A13. Selected Combustible Inputs of Energy for Heat, Power, and  

U.S. Energy Information Administration (EIA) Indexed Site

3. Selected Combustible Inputs of Energy for Heat, Power, and" 3. Selected Combustible Inputs of Energy for Heat, Power, and" " Electricity Generation and Net Demand for Electricity by Fuel Type," " Census Region, Census Division, and End Use, 1994: Part 1" " (Estimates in Btu or Physical Units)" ,,,,,,"Coal" ,,,"Distillate",,,"(excluding" ,"Net Demand",,"Fuel Oil",,,"Coal Coke" ,"for","Residual","and","Natural Gas(c)",,"and Breeze)","RSE" ,"Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","LPG","(1000 short","Row"

223

Table A15. Total Inputs of Energy for Heat, Power, and Electricity Generation  

U.S. Energy Information Administration (EIA) Indexed Site

Total Inputs of Energy for Heat, Power, and Electricity Generation" Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Value of Shipment Categories, Industry Group, and Selected Industries, 1994" " (Estimates in Trillion Btu)" ,,,," Value of Shipments and Receipts(b)" ,,,," "," (million dollars)" ,,,,,,,,,"RSE" "SIC"," "," "," "," "," "," "," ",500,"Row" "Code(a)","Industry Group and Industry","Total","Under 20","20-49","50-99","100-249","250-499","and Over","Factors" ,"RSE Column Factors:",0.6,1.3,1,1,0.9,1.2,1.2

224

Table A41. Total Inputs of Energy for Heat, Power, and Electricity  

U.S. Energy Information Administration (EIA) Indexed Site

A41. Total Inputs of Energy for Heat, Power, and Electricity" A41. Total Inputs of Energy for Heat, Power, and Electricity" " Generation by Census Region, Industry Group, Selected Industries, and Type of" " Energy Management Program, 1991" " (Estimates in Trillion Btu)" ,,," Census Region",,,,"RSE" "SIC","Industry Groups",," -------------------------------------------",,,,"Row" "Code(a)","and Industry","Total","Northeast","Midwest","South","West","Factors" ,"RSE Column Factors:",0.7,1.3,1,0.9,1.2 "20-39","ALL INDUSTRY GROUPS" ,"Participation in One or More of the Following Types of Programs",10743,1150,2819,5309,1464,2.6,,,"/WIR{D}~"

225

"Table HC4.4 Space Heating Characteristics by Renter-Occupied...  

U.S. Energy Information Administration (EIA) Indexed Site

Characteristics",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,33,8,3.4,5.9,14.4,1.2 "Do Not Have Space Heating Equipment",1.2,0.6,"Q"...

226

Table A52. Total Inputs of Energy for Heat, Power, and Electricity Generatio  

U.S. Energy Information Administration (EIA) Indexed Site

2. Total Inputs of Energy for Heat, Power, and Electricity Generation by Employment Size" 2. Total Inputs of Energy for Heat, Power, and Electricity Generation by Employment Size" " Categories and Presence of General Technologies and Cogeneration Technologies, 1994" " (Estimates in Trillion Btu)" ,,,,"Employment Size(a)" ,,,,,,,,"RSE" ,,,,,,,"1000 and","Row" "General/Cogeneration Technologies","Total","Under 50","50-99","100-249","250-499","500-999","Over","Factors" "RSE Column Factors:",0.5,2,2.1,1,0.7,0.7,0.9 "One or More General Technologies Present",14601,387,781,2054,2728,3189,5462,3.1 " Computer Control of Building Environment (b)",5079,64,116,510,802,1227,2361,5

227

TABLE OF CONTENTS ABSTRACT . . .. . . .. . . . . . . . . . . . . . . . . . . . . . v  

E-Print Network [OSTI]

............................................... 12 Water-Source Heat Pump Performance ............................ 18 Air-Source Heat Pump OF PERFORMANCE OF WATER-SOURCE HEAT PUMP .............................. ................. 23 FIGURE 2. NODAL. MONTHLY HEAT GAIN/LOSS FACTORS ........................... 5 TABLE 2. BASE TEMPERATURES

Oak Ridge National Laboratory

228

Empire District Electric - Residential Energy Efficiency Rebate |  

Broader source: Energy.gov (indexed) [DOE]

Empire District Electric - Residential Energy Efficiency Rebate Empire District Electric - Residential Energy Efficiency Rebate Empire District Electric - Residential Energy Efficiency Rebate < Back Eligibility Construction Multi-Family Residential Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Construction Design & Remodeling Other Ventilation Water Heating Windows, Doors, & Skylights Program Info State Missouri Program Type Utility Rebate Program Rebate Amount ENERGY STAR Home Performance Retrofit: 400 ENERGY STAR Qualified Home Designation: 800 Air Conditioner: 400 - 500; varies depending on SEER rating Provider Empire District Electric Company The Empire District Electric Company offers rebates for customers who

229

Table Search (or Ranking Tables)  

E-Print Network [OSTI]

;Table Search #3 #12;Outline · Goals of table search · Table search #1: Deep Web · Table search #3 search Table search #1: Deep Web · Table search #3: (setup): Fusion Tables · Table search #2: WebTables ­Version 1: modify document search ­Version 2: recover table semantics #12;Searching the Deep Web store

Halevy, Alon

230

District heating and cooling systems for communities through power plant retrofit distribution network, Phase 2. Final report, 1 March 1980-31 January 1984. Volume II  

SciTech Connect (OSTI)

This volume begins with an Introduction summarizing the history, methodology and scope of the study, the project team members and the private and public groups consulted in the course of the study. The Load and Service Area Assessment follows, including: a compilation and analysis of existing statistical thermal load data from census data, industrial directories, PSE and G records and other sources; an analysis of responses to a detailed, 4-page thermal load questionnaire; data on public buildings and fuel and energy use provided by the New Jersey Dept. of Energy; and results of other customer surveys conducted by PSE and G. A discussion of institutional questions follows. The general topic of rates is then discussed, including a draft hypothetical Tariff for Thermal Services. Financial considerations are discussed including a report identifying alternative ownership/financing options for district heating systems and the tax implications of these options. Four of these options were then selected by PSE and G and a financial (cash-flow) analysis done (by the PSE and G System Planning Dept.) in comparison with a conventional heating alternative. Year-by-year cost of heat ($/10/sup 6/ Btu) was calculated and tabulated, and the various options compared.

Not Available

1984-01-31T23:59:59.000Z

231

Property Assessed Clean Energy Financing (District of Columbia) |  

Broader source: Energy.gov (indexed) [DOE]

Property Assessed Clean Energy Financing (District of Columbia) Property Assessed Clean Energy Financing (District of Columbia) Property Assessed Clean Energy Financing (District of Columbia) < Back Eligibility Commercial Industrial Local Government Multi-Family Residential Nonprofit State Government Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Commercial Weatherization Sealing Your Home Cooling Other Design & Remodeling Windows, Doors, & Skylights Construction Manufacturing Heat Pumps Appliances & Electronics Commercial Lighting Lighting Solar Program Info State District of Columbia Program Type PACE Financing Provider District Department of the Environment The District of Columbia offers a commercial Property Assessed Clean Energy (PACE) program. In order to receive financing through the commercial PACE

232

International District Energy Association | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

International District Energy Association International District Energy Association International District Energy Association November 1, 2013 - 11:40am Addthis International District Energy Association logo Since its formation in 1909, the International District Energy Association (IDEA) has served as a principal industry advocate and management resource for owners, operators, developers, and suppliers of district heating and cooling systems in cities, campuses, bases, and healthcare facilities. Today, with over 1,400 members in 26 countries, IDEA continues to organize high-quality technical conferences that inform, connect, and advance the industry toward higher energy efficiency and lower carbon emissions through innovation and investment in scalable sustainable solutions. With the support of DOE, IDEA

233

District of Columbia | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

United States » District of Columbia United States » District of Columbia District of Columbia October 16, 2013 Vera Irrigation District #15 - Energy Efficiency Rebate Program Vera Irrigation District #15 offers rebates to electric customers who improve energy efficiency. Rebates are available for water heaters, windows, heat pumps, clothes washer, duct sealing and appliance recycling. Certain efficiency standards must be met in order to receive a rebate for water heaters or windows. Vera Irrigation District also provides a $450 rebate for the installation of energy-efficient heat pumps; ductless heat pumps are eligible incentives of up to $1,500. See the program web site or contact the utility for more information about this program. October 16, 2013 Underground Storage Tank Management (District of Columbia)

234

Petroleum Products Table 31. Motor Gasoline Prices by Grade...  

Gasoline and Diesel Fuel Update (EIA)

by Grade, Sales Type, PAD District, and State 56 Energy Information Administration Petroleum Marketing Annual 1996 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD...

235

Petroleum Products Table 43. Refiner Motor Gasoline Volumes...  

Gasoline and Diesel Fuel Update (EIA)

by Grade, Sales Type, PAD District, and State 262 Energy Information Administration Petroleum Marketing Annual 1996 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type,...

236

Petroleum Products Table 43. Refiner Motor Gasoline Volumes...  

Gasoline and Diesel Fuel Update (EIA)

by Grade, Sales Type, PAD District, and State 262 Energy Information Administration Petroleum Marketing Annual 1997 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type,...

237

Table 21. Domestic Crude Oil First Purchase Prices  

U.S. Energy Information Administration (EIA) Indexed Site

Information Administration Petroleum Marketing Annual 1995 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

238

Table 21. Domestic Crude Oil First Purchase Prices  

U.S. Energy Information Administration (EIA) Indexed Site

Information AdministrationPetroleum Marketing Annual 1999 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

239

Table 21. Domestic Crude Oil First Purchase Prices  

U.S. Energy Information Administration (EIA) Indexed Site

Information AdministrationPetroleum Marketing Annual 1998 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

240

Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...  

U.S. Energy Information Administration (EIA) Indexed Site

See footnotes at end of table. 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State 386 Energy Information...

Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...  

U.S. Energy Information Administration (EIA) Indexed Site

Marketing Annual 1999 Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State (Thousand Gallons per Day) -...

242

Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...  

U.S. Energy Information Administration (EIA) Indexed Site

Marketing Annual 1995 Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State (Thousand Gallons per Day) -...

243

Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...  

Gasoline and Diesel Fuel Update (EIA)

Marketing Annual 1998 Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State (Thousand Gallons per Day) -...

244

Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...  

Gasoline and Diesel Fuel Update (EIA)

Information AdministrationPetroleum Marketing Annual 1998 Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State (Thousand Gallons per...

245

Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Information Administration Petroleum Marketing Annual 1995 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

246

Table 32. Conventional Motor Gasoline Prices by Grade, Sales...  

Gasoline and Diesel Fuel Update (EIA)

Administration Petroleum Marketing Annual 1995 Table 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

247

Table 32. Conventional Motor Gasoline Prices by Grade, Sales...  

Gasoline and Diesel Fuel Update (EIA)

- - - - W W - - - - - - See footnotes at end of table. 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 86 Energy Information...

248

Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Information AdministrationPetroleum Marketing Annual 1999 Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State (Thousand Gallons per...

249

Table 32. Conventional Motor Gasoline Prices by Grade, Sales...  

Gasoline and Diesel Fuel Update (EIA)

AdministrationPetroleum Marketing Annual 1998 Table 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

250

Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Administration Petroleum Marketing Annual 1995 Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

251

Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

- - - - W W - - - - - - See footnotes at end of table. 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State 292 Energy Information...

252

Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

- - - - - - - - - - - - See footnotes at end of table. 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 116 Energy Information...

253

Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...  

Gasoline and Diesel Fuel Update (EIA)

Administration Petroleum Marketing Annual 1995 Table 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

254

Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Information AdministrationPetroleum Marketing Annual 1999 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

255

Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Petroleum Marketing Annual 1999 Table 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State (Thousand Gallons per Day) - Continued...

256

Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Petroleum Marketing Annual 1995 Table 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State (Thousand Gallons per Day) - Continued...

257

Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...  

Gasoline and Diesel Fuel Update (EIA)

Information Administration Petroleum Marketing Annual 1995 Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State (Thousand Gallons per...

258

Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Information AdministrationPetroleum Marketing Annual 1998 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per Day) -...

259

Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...  

Gasoline and Diesel Fuel Update (EIA)

Information AdministrationPetroleum Marketing Annual 1998 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding...

260

Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Information Administration Petroleum Marketing Annual 1995 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per Day) -...

Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Petroleum Marketing Annual 1998 Table 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State (Thousand Gallons per Day) - Continued...

262

Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...  

Gasoline and Diesel Fuel Update (EIA)

Information AdministrationPetroleum Marketing Annual 1999 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per Day) -...

263

Table 32. Conventional Motor Gasoline Prices by Grade, Sales...  

Gasoline and Diesel Fuel Update (EIA)

- - - - 64.7 64.7 - - - - - - See footnotes at end of table. 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 86 Energy Information...

264

Crude Oil Prices Table 21. Domestic Crude Oil First Purchase...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Information Administration Petroleum Marketing Annual 1995 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

265

Local Option - Special Districts | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Local Option - Special Districts Local Option - Special Districts Local Option - Special Districts < Back Eligibility Commercial Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Commercial Weatherization Cooling Sealing Your Home Ventilation Construction Heat Pumps Appliances & Electronics Commercial Lighting Lighting Windows, Doors, & Skylights Bioenergy Solar Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Heating Wind Program Info State Florida Program Type PACE Financing '''''Note: The Federal Housing Financing Agency (FHFA) issued a [http://www.fhfa.gov/webfiles/15884/PACESTMT7610.pdf statement] in July 2010 concerning the senior lien status associated with most PACE programs. In response to the FHFA statement, most local PACE programs have been

266

Microsoft Word - district_of_columbia.doc  

U.S. Energy Information Administration (EIA) Indexed Site

District of Columbia District of Columbia NERC Region(s) ....................................................................................................... RFC Primary Energy Source........................................................................................... Petroleum Net Summer Capacity (megawatts) ....................................................................... 790 51 Independent Power Producers & Combined Heat and Power ................................ 790 46 Net Generation (megawatthours) ........................................................................... 199,858 51 Independent Power Producers & Combined Heat and Power ................................ 199,858 51 Emissions (thousand metric tons) ..........................................................................

267

Microsoft Word - district_of_columbia.doc  

Gasoline and Diesel Fuel Update (EIA)

District of Columbia District of Columbia NERC Region(s) ....................................................................................................... RFC Primary Energy Source........................................................................................... Petroleum Net Summer Capacity (megawatts) ....................................................................... 790 51 Independent Power Producers & Combined Heat and Power ................................ 790 46 Net Generation (megawatthours) ........................................................................... 199,858 51 Independent Power Producers & Combined Heat and Power ................................ 199,858 51 Emissions (thousand metric tons) ..........................................................................

268

"Table HC15.5 Space Heating Usage Indicators by Four Most Populated States, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

5 Space Heating Usage Indicators by Four Most Populated States, 2005" 5 Space Heating Usage Indicators by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"U.S. Housing Units (millions)","Four Most Populated States" "Space Heating Usage Indicators",,"New York","Florida","Texas","California" "Total U.S. Housing Units",111.1,7.1,7,8,12.1 "Do Not Have Heating Equipment",1.2,"Q","Q","Q",0.2 "Have Space Heating Equipment",109.8,7.1,6.8,7.9,11.9 "Use Space Heating Equipment",109.1,7.1,6.6,7.9,11.4 "Have But Do Not Use Equipment",0.8,"N","Q","N",0.5 "Space Heating Usage During 2005" "Heated Floorspace (Square Feet)"

269

"Table HC10.5 Space Heating Usage Indicators by U.S. Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

5 Space Heating Usage Indicators by U.S. Census Region, 2005" 5 Space Heating Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Space Heating Usage Indicators",,"Northeast","Midwest","South","West" "Total U.S. Housing Units",111.1,20.6,25.6,40.7,24.2 "Do Not Have Heating Equipment",1.2,"Q","Q","Q",0.7 "Have Space Heating Equipment",109.8,20.5,25.6,40.3,23.4 "Use Space Heating Equipment",109.1,20.5,25.6,40.1,22.9 "Have But Do Not Use Equipment",0.8,"N","N","Q",0.6 "Space Heating Usage During 2005" "Heated Floorspace (Square Feet)"

270

"Table HC8.5 Space Heating Usage Indicators by Urban/Rural Location, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

5 Space Heating Usage Indicators by Urban/Rural Location, 2005" 5 Space Heating Usage Indicators by Urban/Rural Location, 2005" " Million U.S. Housing Units" ,,"Urban/Rural Location (as Self-Reported)" ,"Housing Units (millions)" "Space Heating Usage Indicators",,"City","Town","Suburbs","Rural" "Total U.S. Housing Units",111.1,47.1,19,22.7,22.3 "Do Not Have Heating Equipment",1.2,0.7,"Q",0.2,"Q" "Have Space Heating Equipment",109.8,46.3,18.9,22.5,22.1 "Use Space Heating Equipment",109.1,45.6,18.8,22.5,22.1 "Have But Do Not Use Equipment",0.8,0.7,"Q","N","N" "Space Heating Usage During 2005" "Heated Floorspace (Square Feet)"

271

Heating oils, 1981  

SciTech Connect (OSTI)

Properties of 249 heating oils marketed in the United States were submitted for study and compilation under agreement between the Bartlesville Energy Technology Center (BETC) and the American Petroleum Institute (API). The fuels were manufactured by 28 petroleum refining companies in 92 domestic refineries. The data are tabulated according to six grades of fuel and subdivided into five geographic regions in which the fuels are marketed. The six grades of fuels are defined by the American Society for Testing and Materials (ASTM) Specification D396. The five regions containing a total of 16 marketing districts are shown on a map in the report. Trend charts are included showing average properties of the six grades of fuel for the past several years. Summaries of the results of the tests by grade and by region for 1981 compared with data for 1980 are shown in Tables 1 through 6. Analyses of grade 6 foreign import oils are presented in Table 13.

Shelton, E.M.

1981-08-01T23:59:59.000Z

272

Empire District Electric - Low Income New Homes Program | Department of  

Broader source: Energy.gov (indexed) [DOE]

Empire District Electric - Low Income New Homes Program Empire District Electric - Low Income New Homes Program Empire District Electric - Low Income New Homes Program < Back Eligibility Construction Low-Income Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Heat Pumps Appliances & Electronics Commercial Lighting Lighting Maximum Rebate Total: $1,100 Program Info State Missouri Program Type Utility Rebate Program Rebate Amount Insulation: full incremental cost above the appropriate baseline Heat Pumps: $400 Central AC: $400 Refrigerator: $200 Lighting: $100 Provider Empire District Electric Empire District Electric offers rebates for the utilization of energy efficient measures and appliances in new, low-income homes. Rebates are

273

Business Energy Rebate Program (District of Columbia) | Department of  

Broader source: Energy.gov (indexed) [DOE]

Business Energy Rebate Program (District of Columbia) Business Energy Rebate Program (District of Columbia) Business Energy Rebate Program (District of Columbia) < Back Eligibility Commercial Institutional Savings Category Heating & Cooling Commercial Heating & Cooling Heating Cooling Manufacturing Heat Pumps Appliances & Electronics Commercial Lighting Lighting Other Program Info Funding Source Sustainable Energy Trust Fund Start Date 05/01/2012 State District of Columbia Program Type State Rebate Program Rebate Amount Varies by equipment type and amount purchased Provider Business Energy Rebate Program The District of Columbia's Sustainable Energy Utility (SEU) administers the Business Energy Rebate Program. Rebates are available to businesses and institutions for the installation of energy-efficient equipment. Only new

274

International District Energy Association  

Broader source: Energy.gov [DOE]

Since its formation in 1909, the International District Energy Association (IDEA) has served as a principal industry advocate and management resource for owners, operators, developers, and suppliers of district heating and cooling systems in cities, campuses, bases, and healthcare facilities. Today, with over 1,400 members in 26 countries, IDEA continues to organize high-quality technical conferences that inform, connect, and advance the industry toward higher energy efficiency and lower carbon emissions through innovation and investment in scalable sustainable solutions. With the support of DOE, IDEA performs industry research and market analysis to foster high impact projects and help transform the U.S. energy industry. IDEA was an active participant in the original Vision and Roadmap process and has continued to partner with DOE on combined heat and power (CHP) efforts across the country.

275

"Table HC15.4 Space Heating Characteristics by Four Most Populated States, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

4 Space Heating Characteristics by Four Most Populated States, 2005" 4 Space Heating Characteristics by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","Four Most Populated States" "Space Heating Characteristics",,"New York","Florida","Texas","California" "Total",111.1,7.1,7,8,12.1 "Do Not Have Space Heating Equipment",1.2,"Q","Q","Q",0.2 "Have Main Space Heating Equipment",109.8,7.1,6.8,7.9,11.9 "Use Main Space Heating Equipment",109.1,7.1,6.6,7.9,11.4 "Have Equipment But Do Not Use It",0.8,"N","Q","N",0.5 "Main Heating Fuel and Equipment" "Natural Gas",58.2,3.8,0.4,3.8,8.4

276

"Table HC11.5 Space Heating Usage Indicators by Northeast Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

5 Space Heating Usage Indicators by Northeast Census Region, 2005" 5 Space Heating Usage Indicators by Northeast Census Region, 2005" " Million U.S. Housing Units" ,,"Northeast Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Northeast" "Space Heating Usage Indicators",,,"Middle Atlantic","New England" "Total U.S. Housing Units",111.1,20.6,15.1,5.5 "Do Not Have Heating Equipment",1.2,"Q","Q","Q" "Have Space Heating Equipment",109.8,20.5,15.1,5.4 "Use Space Heating Equipment",109.1,20.5,15.1,5.4 "Have But Do Not Use Equipment",0.8,"N","N","N" "Space Heating Usage During 2005"

277

"Table HC10.4 Space Heating Characteristics by U.S. Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

4 Space Heating Characteristics by U.S. Census Region, 2005" 4 Space Heating Characteristics by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Space Heating Characteristics",,"Northeast","Midwest","South","West" "Total",111.1,20.6,25.6,40.7,24.2 "Do Not Have Space Heating Equipment",1.2,"Q","Q","Q",0.7 "Have Main Space Heating Equipment",109.8,20.5,25.6,40.3,23.4 "Use Main Space Heating Equipment",109.1,20.5,25.6,40.1,22.9 "Have Equipment But Do Not Use It",0.8,"N","N","Q",0.6 "Main Heating Fuel and Equipment" "Natural Gas",58.2,11.4,18.4,13.6,14.7

278

"Table HC12.5 Space Heating Usage Indicators by Midwest Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

5 Space Heating Usage Indicators by Midwest Census Region, 2005" 5 Space Heating Usage Indicators by Midwest Census Region, 2005" " Million U.S. Housing Units" ,,"Midwest Census Region" ,"U.S. Housing Units (millions)" ,,,"Census Division" ,,"Total Midwest" "Space Heating Usage Indicators",,,"East North Central","West North Central" "Total U.S. Housing Units",111.1,25.6,17.7,7.9 "Do Not Have Heating Equipment",1.2,"Q","Q","N" "Have Space Heating Equipment",109.8,25.6,17.7,7.9 "Use Space Heating Equipment",109.1,25.6,17.7,7.9 "Have But Do Not Use Equipment",0.8,"N","N","N" "Space Heating Usage During 2005"

279

Buildings Energy Data Book: 5.3 Heating, Cooling, and Ventilation Equipment  

Buildings Energy Data Book [EERE]

2 2 Main Commercial Heating and Cooling Equipment as of 1995, 1999, and 2003 (Percent of Total Floorspace) (1) Heating Equipment 1995 1999 2003 (2) Cooling Equipment 1995 1999 2003 (2) Packaged Heating Units 29% 38% 28% Packaged Air Conditioning Units 45% 54% 46% Boilers 29% 29% 32% Individual Air Conditioners 21% 21% 19% Individual Space Heaters 29% 26% 19% Central Chillers 19% 19% 18% Furnaces 25% 21% 30% Residential Central Air Conditioners 16% 12% 17% Heat Pumps 10% 13% 14% Heat Pumps 12% 14% 14% District Heat 10% 8% 8% District Chilled Water 4% 4% 4% Other 11% 6% 5% Swamp Coolers 4% 3% 2% Other 2% 2% 2% Note(s): Source(s): 1) Heating and cooling equipment percentages of floorspace total more than 100% since equipment shares floorspace. 2) Malls are no longer included in most CBECs tables; therefore, some data is not directly comparable to past CBECs.

280

"Table HC3.4 Space Heating Characteristics by Owner-Occupied Housing Unit, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

4 Space Heating Characteristics by Owner-Occupied Housing Unit, 2005" 4 Space Heating Characteristics by Owner-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Owner-Occupied Housing Units (millions)","Type of Owner-Occupied Housing Unit" ," Housing Units (millions)" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Space Heating Characteristics",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,78.1,64.1,4.2,1.8,2.3,5.7 "Do Not Have Space Heating Equipment",1.2,0.6,0.3,"N","Q","Q","Q" "Have Main Space Heating Equipment",109.8,77.5,63.7,4.2,1.8,2.2,5.6

Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

"Table HC4.5 Space Heating Usage Indicators by Renter-Occupied Housing Unit, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

5 Space Heating Usage Indicators by Renter-Occupied Housing Unit, 2005" 5 Space Heating Usage Indicators by Renter-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Renter-Occupied Housing Units (millions)","Type of Renter-Occupied Housing Unit" ," Housing Units (millions)" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Space Heating Usage Indicators",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total U.S. Housing Units",111.1,33,8,3.4,5.9,14.4,1.2 "Do Not Have Heating Equipment",1.2,0.6,"Q","Q","Q",0.3,"Q" "Have Space Heating Equipment",109.8,32.3,8,3.3,5.8,14.1,1.1

282

"Table HC3.5 Space Heating Usage Indicators by Owner-Occupied Housing Unit, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

5 Space Heating Usage Indicators by Owner-Occupied Housing Unit, 2005" 5 Space Heating Usage Indicators by Owner-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Owner-Occupied Housing Units (millions)","Type of Owner-Occupied Housing Unit" ," Housing Units (millions)" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Space Heating Usage Indicators",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total U.S. Housing Units",111.1,78.1,64.1,4.2,1.8,2.3,5.7 "Do Not Have Heating Equipment",1.2,0.6,0.3,"N","Q","Q","Q" "Have Space Heating Equipment",109.8,77.5,63.7,4.2,1.8,2.2,5.6

283

Regional Districts (Texas)  

Broader source: Energy.gov [DOE]

Adjacent Water Control and Improvement Districts and Municipal Utility Districts can opt to form a Regional District to oversee water issues. Such districts may be created:(1) to purchase, own,...

284

Southern Power District - Residential Energy Efficiency Rebate Programs |  

Broader source: Energy.gov (indexed) [DOE]

Southern Power District - Residential Energy Efficiency Rebate Southern Power District - Residential Energy Efficiency Rebate Programs Southern Power District - Residential Energy Efficiency Rebate Programs < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Heat Pumps Program Info State Nebraska Program Type Utility Rebate Program Rebate Amount Air Source Heat Pump: $100- $300 Geothermal Heat Pump: $400 Heat Pump (14 Seer minimum): $50 contractor rebate Attic Insulation: $0.15/sq. ft. HVAC Tune-Up: $30 Provider Southern Power District Southern Power District (SPD) offers rebates for the purchase and installation of efficient air source heat pumps, geothermal heat pumps, attic insulation, and HVAC tune-ups. Contractors who install 14 Seer or

285

Nebraska Public Power District - Residential Energy Efficiency Rebate  

Broader source: Energy.gov (indexed) [DOE]

Nebraska Public Power District - Residential Energy Efficiency Nebraska Public Power District - Residential Energy Efficiency Rebate Programs Nebraska Public Power District - Residential Energy Efficiency Rebate Programs < Back Eligibility Construction Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Maximum Rebate Attic Insulation: $300 Program Info State Nebraska Program Type Utility Rebate Program Rebate Amount Air-Source Heat Pumps: 14 SEER - $200, 15 SEER - $400, 16+ SEER $600 Ground Source Heat Pumps: $1,200 Variable Capacity Ground Source Heat Pumps: $1,700 Heat Pump > 14 SEER (Contractor): $50 Cooling System Tune-Up: $30 Attic Insulation: $0.15/sq. ft. Provider Nebraska Public Power District The Nebraska Public Power District offers rebates to homeowners who purchase energy efficient heat pumps, upgrade their insulation, and/or have

286

Assessment of district energy supply from Schiller Generating Station  

SciTech Connect (OSTI)

This paper addresses the feasibility analysis of retrofitting the Public Service of New Hampshire Schiller Generating Station to supply district heating to potential customers. The project involved analysis of power plant retrofit and comparison of district heating cost to the cost of heat supplied with gas boilers for a housing development in close proximity to the Schiller Station.

Hitchko, M. [Public Service Company of New Hampshire, Portsmouth, NH (United States); Major, W. [Joseph Technology Corporation, Inc., Woodcliff Lake, NJ (United States)

1995-06-01T23:59:59.000Z

287

Prospection of Swedish District Heating.  

E-Print Network [OSTI]

?? Due to the environment degradation and threats of the climate change, how to develop the technologies to use renewable energy and improve current energy… (more)

Zeng, Yuming

2013-01-01T23:59:59.000Z

288

"Table HC3.8 Water Heating Characteristics by Owner-Occupied Housing Unit, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

8 Water Heating Characteristics by Owner-Occupied Housing Unit, 2005" 8 Water Heating Characteristics by Owner-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Owner-Occupied Housing Units (millions)","Type of Owner-Occupied Housing Unit" ,"U.S. Housing Units (millions" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Water Heating Characteristics",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,78.1,64.1,4.2,1.8,2.3,5.7 "Number of Water Heaters" "1.",106.3,74.5,60.9,4,1.8,2.2,5.5 "2 or More",3.7,3.3,3,"Q","Q","Q","Q" "Do Not Use Hot Water",1.1,0.3,"Q","Q","N","Q","Q"

289

"Table HC15.8 Water Heating Characteristics by Four Most Populated States, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

8 Water Heating Characteristics by Four Most Populated States, 2005" 8 Water Heating Characteristics by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","Four Most Populated States" "Water Heating Characteristics",,"New York","Florida","Texas","California" "Total",111.1,7.1,7,8,12.1 "Number of Water Heaters" "1.",106.3,6.5,6.9,7.4,11.7 "2 or More",3.7,"Q","Q",0.5,0.4 "Do Not Use Hot Water",1.1,0.5,"N","Q","N" "Housing Units Served by Main Water Heater" "One Housing Unit",99.7,4.3,6.8,7.4,10.6 "Two or More Housing Units",10.3,2.3,"Q",0.5,1.5

290

"Table HC4.8 Water Heating Characteristics by Renter-Occupied Housing Unit, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

8 Water Heating Characteristics by Renter-Occupied Housing Unit, 2005" 8 Water Heating Characteristics by Renter-Occupied Housing Unit, 2005" " Million U.S. Housing Units" ,," Renter-Occupied Housing Units (millions)","Type of Renter-Occupied Housing Unit" ,"U.S. Housing Units (millions" ,,,"Single-Family Units",,"Apartments in Buildings With--" "Water Heating Characteristics",,,"Detached","Attached","2 to 4 Units","5 or More Units","Mobile Homes" "Total",111.1,33,8,3.4,5.9,14.4,1.2 "Number of Water Heaters" "1.",106.3,31.9,7.9,3.4,5.8,13.7,1.1 "2 or More",3.7,0.4,"Q","Q","Q","Q","N" "Do Not Use Hot Water",1.1,0.7,"Q","Q","Q",0.6,"Q"

291

"Table HC10.8 Water Heating Characteristics by U.S. Census Region, 2005"  

U.S. Energy Information Administration (EIA) Indexed Site

8 Water Heating Characteristics by U.S. Census Region, 2005" 8 Water Heating Characteristics by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Water Heating Characteristics",,"Northeast","Midwest","South","West" "Total",111.1,20.6,25.6,40.7,24.2 "Number of Water Heaters" "1.",106.3,19.6,24.5,39,23.2 "2 or More",3.7,0.3,0.9,1.5,1 "Do Not Use Hot Water",1.1,0.7,"Q","Q","Q" "Housing Units Served by Main Water Heater" "One Housing Unit",99.7,16.1,23.5,38.2,21.9 "Two or More Housing Units",10.3,3.7,1.9,2.4,2.3 "Do Not Use Hot Water",1.1,0.7,"Q","Q","Q"

292

Omaha Public Power District- Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

Omaha Public Power District (OPPD) offers energy credit refunds to its residential customers for installing high-efficiency heat pumps through the Energy Conservation Program. Newly constructed...

293

Table 25  

Gasoline and Diesel Fuel Update (EIA)

89 89 Table 25 Created on: 1/3/2014 3:10:33 PM Table 25. Natural gas home customer-weighted heating degree days, New England Middle Atlantic East North Central West North Central South Atlantic Month/Year/Type of data CT, ME, MA, NH, RI, VT NJ, NY, PA IL, IN, MI, OH, WI IA, KS, MN, MO, ND, NE, SD DE, FL, GA, MD, DC, NC, SC, VA, WV November Normal 702 665 758 841 442 2012 751 738 772 748 527 2013 756 730 823 868 511 % Diff (normal to 2013) 7.7 9.8 8.6 3.2 15.6 % Diff (2012 to 2013) 0.7 -1.1 6.6 16.0 -3.0 November to November Normal 702 665 758 841 442 2012 751 738 772 748 527 2013 756 730 823 868 511 % Diff (normal to 2013) 7.7 9.8 8.6 3.2 15.6 % Diff (2012 to 2013) 0.7 -1.1 6.6 16.0 -3.0

294

ABSORPTION HEAT PUMP IN THE DISTRICT HEATING  

E-Print Network [OSTI]

Zasulauks ­ wood-chips fired boiler house, (20 MWth) in 2013/05 · DHP Ziepniekkalns ­ wood-chips fired cogeneration unit, (4 MWel, 22 MWth) in 2013/2. · DHP Vecmlgrvis ­ wood-chips fired boilers, (2x7 MWth) in 2010, Nuremberg, 15-16.10.2013 · Cooling load is close to the set up chiller capacity · HP/chiller is designed

Oak Ridge National Laboratory

295

Underground Storage Tank Management (District of Columbia)  

Broader source: Energy.gov [DOE]

The  installation, upgrade and operation of any petroleum UST (>110 gallons) or hazardous substance UST System, including heating oil tanks over 1,100 gallons capacity in the District requires a...

296

Applied Solutions Webinar: Insights Into District Energy  

Office of Energy Efficiency and Renewable Energy (EERE)

Local governments and their communities that inhabit dense locations can take advantage of district heating and/or cooling systems as a way to increase energy efficiency and reliability while...

297

Total Space Heat-  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Buildings Energy Consumption Survey: Energy End-Use Consumption Tables Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration...

298

Financing Energy Upgrades for K-12 School Districts  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Financing Energy Upgrades for K-12 School Districts Financing Energy Upgrades for K-12 School Districts Page 2 Table of Contents Introduction................................................................................................................................................................................................................... 4 What This Guide Covers .................................................................................................................................................................................. 6 Chapter 1: Principles of Financing Energy Upgrades for Schools .................................................................................................. 7 Principle 1. Start with Clear Project Objectives.......................................................................................................................................... 7

299

Major Source Permits (District of Columbia) | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Major Source Permits (District of Columbia) Major Source Permits (District of Columbia) Major Source Permits (District of Columbia) < Back Eligibility Utility Commercial Industrial Program Info State District of Columbia Program Type Environmental Regulations Provider District Department of the Environment The District reviews designs for new pollution sources and design modifications for existing sources. Permits are issued to allow sources to emit limited and specified amounts of pollution as allowed by air quality laws and regulations. Major sources include power plants, heating plants, and large printing facilities. Three types of permits are issued: pre-construction review permits; new source review permits; and operating permits. These permits include conditions intended to minimize emissions of

300

Utilities District of Western Indiana REMC- Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

Utilities District of Western Indiana REMC offers residential customers incentives for energy efficient heat pumps, water heaters, and air conditioners. Eligible air-source heat pump and air...

Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Table 41. No. 2 Diesel Fuel Prices by Sulfur Content, Sales...  

Gasoline and Diesel Fuel Update (EIA)

200 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 41. No. 2 Diesel Fuel Prices by Sulfur Content, Sales Type, and PAD District (Cents per Gallon...

302

Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil...  

Gasoline and Diesel Fuel Update (EIA)

AdministrationPetroleum Marketing Annual 1998 295 Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil Volumes by PAD District and State (Thousand Gallons per Day) -...

303

Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil...  

Gasoline and Diesel Fuel Update (EIA)

AdministrationPetroleum Marketing Annual 1999 295 Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil Volumes by PAD District and State (Thousand Gallons per Day) -...

304

Table 41. No. 2 Diesel Fuel Prices by Sulfur Content, Sales...  

Gasoline and Diesel Fuel Update (EIA)

200 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 41. No. 2 Diesel Fuel Prices by Sulfur Content, Sales Type, and PAD District (Cents per Gallon...

305

Table 41. No. 2 Diesel Fuel Prices by Sulfur Content, Sales...  

Gasoline and Diesel Fuel Update (EIA)

Energy Information Administration Petroleum Marketing Annual 1995 Table 41. No. 2 Diesel Fuel Prices by Sulfur Content, Sales Type, and PAD District (Cents per Gallon...

306

Table A2. Refiner/Reseller Prices of Aviation Fuels, Propane...  

Gasoline and Diesel Fuel Update (EIA)

Marketing Annual 1995 467 Table A2. RefinerReseller Prices of Aviation Fuels, Propane, and Kerosene, by PAD District, 1983-Present (Cents per Gallon Excluding Taxes) -...

307

Table A2. Refiner/Reseller Prices of Aviation Fuels, Propane...  

Gasoline and Diesel Fuel Update (EIA)

Marketing Annual 1999 421 Table A2. RefinerReseller Prices of Aviation Fuels, Propane, and Kerosene, by PAD District, 1983-Present (Cents per Gallon Excluding Taxes) -...

308

Table A1. Refiner/Reseller Motor Gasoline Prices by Grade, PAD...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

AdministrationPetroleum Marketing Annual 1999 401 Table A1. RefinerReseller Motor Gasoline Prices by Grade, PAD District and State, 1984-Present (Cents per Gallon Excluding...

309

Vera Irrigation District #15 - Energy Efficiency Rebate Program |  

Broader source: Energy.gov (indexed) [DOE]

Vera Irrigation District #15 - Energy Efficiency Rebate Program Vera Irrigation District #15 - Energy Efficiency Rebate Program Vera Irrigation District #15 - Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Appliances & Electronics Home Weatherization Sealing Your Home Design & Remodeling Windows, Doors, & Skylights Commercial Weatherization Ventilation Heating & Cooling Commercial Heating & Cooling Heat Pumps Water Heating Maximum Rebate $1,500 Program Info State District of Columbia Program Type Utility Rebate Program Rebate Amount Refrigerator/Freezer Recycling: $30 Water Heaters: $100 Windows: $6/sq. ft. Heat Pumps: $450 Duct Sealing: $400 - $500 Clothes Washer: $30 Ductless Heat Pumps: $1,500 Vera Irrigation District #15 offers rebates to electric customers who improve energy efficiency. Rebates are available for water heaters,

310

Truckee Donner Public Utility District - Energy Conservation Rebate Program  

Broader source: Energy.gov (indexed) [DOE]

Public Utility District - Energy Conservation Rebate Public Utility District - Energy Conservation Rebate Program Truckee Donner Public Utility District - Energy Conservation Rebate Program < Back Eligibility Commercial Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Home Weatherization Commercial Weatherization Sealing Your Home Ventilation Heat Pumps Commercial Lighting Lighting Water Heating Maximum Rebate Lighting (Residential): see program web site Lighting (Commercial): $10,000 Program Info State California Program Type Utility Rebate Program Rebate Amount Clothes Washers: $100 Refrigerators/Freezers: $100 Dishwashers: $100 Electric Water Heaters: $2/gallon Geothermal Heat Pumps: $200/ton Lighting (Residential): $2/fluorescent bulb Lighting (Commercial): 1/3 of project costs

311

Local Option - Improvement Districts for Energy Efficiency and Renewable  

Broader source: Energy.gov (indexed) [DOE]

Local Option - Improvement Districts for Energy Efficiency and Local Option - Improvement Districts for Energy Efficiency and Renewable Energy Improvements Local Option - Improvement Districts for Energy Efficiency and Renewable Energy Improvements < Back Eligibility Agricultural Commercial Industrial Institutional Low-Income Residential Multi-Family Residential Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Commercial Heating & Cooling Cooling Design & Remodeling Windows, Doors, & Skylights Construction Heat Pumps Heating Appliances & Electronics Commercial Lighting Lighting Biofuels Alternative Fuel Vehicles Bioenergy Solar Hydrogen & Fuel Cells Buying & Making Electricity Water Water Heating Wind Program Info State Colorado Program Type PACE Financing

312

EA-0923: Winnett School District Boiler Replacement Project, Winnett, Montana  

Broader source: Energy.gov [DOE]

This EA evaluates the environmental impacts of the proposal to replace the Winnett School District complex's existing oil-fired heating system with a new coal-fired heating system with funds...

313

Heating oils, 1980  

SciTech Connect (OSTI)

Properties of 247 heating oils marketed in the United States were submitted for study and compilation under agreement between the Bartlesville Energy Technology Center and the American Petroleum Institute. The fuels were manufactured by 26 petroleum refining companies in 87 domestic refineries. The data are tabulated according to six grades of fuel and subdivided into five geographic regions in which the fuels are marketed. The six grades of fuel are defined by the American Society for Testing and Materials Specification D396. The five regions containing a total of 16 marketing districts are shown on a map in the report. Trend charts are included showing average properties of the six grades of fuel for the past several years. Summaries of the results of the tests by grade and by region for 1980 compared with data for 1979 are shown in tables. Analyses of grades 2, 5(light), and 6 foreign import oils are presented.

Shelton, E.M.

1980-10-01T23:59:59.000Z

314

Heating oils, 1983  

SciTech Connect (OSTI)

Properties of 195 heating oils marketed in the United States were submitted for study and compilation under agreement between the Bartlesville Energy Technology Center (BETC) and the American Petroleum Institute (API). The fuels were manufactured by 25 petroleum refining companies in 83 domestic refineries. The data are tabulated according to six grades of fuel and subdivided into five geographic regions in which the fuels are marketed. The six grades of fuels are defined by the American Society for Testing and Materials (ASTM) Specification D396. The five regions containing a total of 16 marketing districts are shown on a map in the report. Trend charts are included showing average properties of the six grades of fuel for the past several years. Summaries of the results of the tests by grade and by region for 1983 are compared with data for 1982. 7 figures, 12 tables.

Shelton, E.M.

1983-08-01T23:59:59.000Z

315

Cogeneration Personal Property Tax Credit (District of Columbia) |  

Broader source: Energy.gov (indexed) [DOE]

Cogeneration Personal Property Tax Credit (District of Columbia) Cogeneration Personal Property Tax Credit (District of Columbia) Cogeneration Personal Property Tax Credit (District of Columbia) < Back Eligibility Commercial Industrial Residential Savings Category Commercial Heating & Cooling Manufacturing Buying & Making Electricity Solar Heating & Cooling Heating Program Info Start Date 07/25/2012 State District of Columbia Program Type Property Tax Incentive Rebate Amount 100% exemption Provider Energy Division The District of Columbia Council created a personal property tax exemption for solar energy systems and cogeneration systems within the District by enacting B19-0749 in December of 2012. Eligible solar systems Solar energy is defined by D.C. Code § 34-1431 to mean "radiant energy, direct, diffuse, or reflected, received from the sun

316

Dealing with big circulation flow, small temperature difference based on verified dynamic model simulations of a hot water district heating system  

E-Print Network [OSTI]

,?C Gcoal,T/Day Ts1v,?C Tr1v,?C Tw2argv,?C Gcoalv,T/Day Figure 4. Verified Model Responses With Operational Data 2.4 Properties Analysis From The Verified Model Simulations Based on the verified model, the factors ]1,25.1,1.1[],,[ ?enhex fff.../s HV heating value, J/Kg kp proportional gain ki integral gain KF heat transfer coefficient, W/? q heat per unit area, W/m2 Q heat, W t time, s T temperature, ? TD temperature difference, ? u control signal 30 ?? ? factors Subscripts 1, 2...

Zhong, L.

2014-01-01T23:59:59.000Z

317

Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...  

Gasoline and Diesel Fuel Update (EIA)

2,026.7 W W 234.5 161.7 - 396.3 See footnotes at end of table. 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State 262 Energy Information...

318

Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

70.8 92.7 90.7 81.5 72.8 - 78.0 See footnotes at end of table. 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 146 Energy Information...

319

Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...  

Gasoline and Diesel Fuel Update (EIA)

2,222.4 W W 206.4 134.3 - 340.7 See footnotes at end of table. 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State 262 Energy Information...

320

Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

466.1 466.1 See footnotes at end of table. 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State 356 Energy Information Administration...

Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...  

Gasoline and Diesel Fuel Update (EIA)

71.7 92.3 89.9 82.6 72.7 - 78.2 See footnotes at end of table. 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 146 Energy Information...

322

Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

532.1 532.1 See footnotes at end of table. 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State 356 Energy Information Administration...

323

Geothermal district piping - A primer  

SciTech Connect (OSTI)

Transmission and distribution piping constitutes approximately 40 -60% of the capital costs of typical geothermal district heating systems. Selections of economical piping suitable for the fluid chemistry is critical. Presently, most piping (56%) in geothermal systems is of asbestos cement construction. Some fiberglass (19%) and steel (19%) is also in use. Identification of an economical material to replace asbestos cement is important to future project development. By providing information on relative costs, purchase considerations, existing material performance and new products, this report seeks to provide a background of information to the potential pipe purchaser. A brief discussion of the use of uninsulated piping in geothermal district heating systems is also provided. 5 refs., 19 figs., 1 tab.

Rafferty, K.

1989-11-01T23:59:59.000Z

324

Local Option - Clean Energy Finance Districts | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Clean Energy Finance Districts Clean Energy Finance Districts Local Option - Clean Energy Finance Districts < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Commercial Weatherization Cooling Construction Design & Remodeling Sealing Your Home Windows, Doors, & Skylights Ventilation Appliances & Electronics Commercial Lighting Lighting Manufacturing Water Heating Bioenergy Solar Buying & Making Electricity Water Wind Program Info State Vermont Program Type PACE Financing Note: The Federal Housing Financing Agency (FHFA) issued a [http://www.fhfa.gov/webfiles/15884/PACESTMT7610.pdf statement] in July 2010 concerning the senior lien status associated with most PACE programs. In response to the FHFA statement, most local PACE programs around the

325

Local Option - Sustainable Energy Financing Districts | Department of  

Broader source: Energy.gov (indexed) [DOE]

Local Option - Sustainable Energy Financing Districts Local Option - Sustainable Energy Financing Districts Local Option - Sustainable Energy Financing Districts < Back Eligibility Commercial Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Commercial Heating & Cooling Cooling Other Design & Remodeling Windows, Doors, & Skylights Construction Heat Pumps Appliances & Electronics Commercial Lighting Lighting Insulation Bioenergy Solar Buying & Making Electricity Energy Sources Water Heating Wind Program Info Start Date 8/15/2009 State Louisiana Program Type PACE Financing '''''Note: The Federal Housing Financing Agency (FHFA) issued a [http://www.fhfa.gov/webfiles/15884/PACESTMT7610.pdf statement] in July 2010 concerning the senior lien status associated with most PACE programs.

326

Central Air Conditioners","Heat Pumps","Individual Air Conditioners","District Chilled Water","Central Chillers","Packaged  

U.S. Energy Information Administration (EIA) Indexed Site

5. Cooling Equipment, Floorspace, 1999" 5. Cooling Equipment, Floorspace, 1999" ,"Total Floorspace (million square feet)" ,"All Buildings","All Cooled Buildings","Cooling Equipment (more than one may apply)" ,,,"Residential-Type Central Air Conditioners","Heat Pumps","Individual Air Conditioners","District Chilled Water","Central Chillers","Packaged Air Conditioning Units","Swamp Coolers","Other" "All Buildings ................",67338,58474,8329,9147,14276,2750,12909,36527,2219,1312 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6774,4879,890,700,962,"Q","Q",2613,253,"Q" "5,001 to 10,000 ..............",8238,6212,1606,707,1396,"Q","Q",3197,181,"Q"

327

Table 1. 2010 Summary Statistics  

U.S. Energy Information Administration (EIA) Indexed Site

District of Columbia" District of Columbia" "NERC Region(s)",,"RFC" "Primary Energy Source",,"Petroleum" "Net Summer Capacity (megawatts)",790,51 " Independent Power Producers & Combined Heat and Power",790,46 "Net Generation (megawatthours)",199858,51 " Independent Power Producers & Combined Heat and Power",199858,51 "Emissions (thousand metric tons)" " Sulfur Dioxide",1,49 " Nitrogen Oxide","*",51 " Carbon Dioxide",191,50 " Sulfur Dioxide (lbs/MWh)",8.8,2 " Nitrogen Oxide (lbs/MWh)",4,3 " Carbon Dioxide (lbs/MWh)",2104,1 "Total Retail Sales (megawatthours)",11876995,43 " Full Service Provider Sales (megawatthours)",3388490,50

328

Central Lincoln People's Utility District - Renewable Energy Incentive  

Broader source: Energy.gov (indexed) [DOE]

Central Lincoln People's Utility District - Renewable Energy Central Lincoln People&#039;s Utility District - Renewable Energy Incentive Program (Oregon) Central Lincoln People's Utility District - Renewable Energy Incentive Program (Oregon) < Back Eligibility Commercial Nonprofit Residential Savings Category Solar Buying & Making Electricity Home Weatherization Water Heating & Cooling Water Heating Wind Maximum Rebate PV (Residential): $2,000 PV (Commercial): $5,000 Solar Water Heating: $800 Wind: $5,000 Hydro Electric: $5,000 Program Info State Oregon Program Type Utility Rebate Program Rebate Amount PV and Wind: $500/kW-DC Solar Water Heating: $800/system Hydro Electric: $0.50/kWh (first year) Provider Central Lincoln People's Utility District Central Lincoln People's Utility District provides financial incentives for

329

TABLE OF CONTENTS SECTION A: PREINTERVIEW OBSERVATION  

U.S. Energy Information Administration (EIA) Indexed Site

TABLE OF CONTENTS TABLE OF CONTENTS SECTION A: PREINTERVIEW OBSERVATION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 SECTION B: HOUSING TYPE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 SECTION C: HOME HEATING . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 SECTION D: AIR CONDITIONING . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 SECTION E: WATER HEATING . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 SECTION F: LIGHTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 SECTION G: APPLIANCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Cooking . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Refrigerators and Freezers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

330

Modesto Irrigation District - Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov (indexed) [DOE]

Modesto Irrigation District - Residential Energy Efficiency Rebate Modesto Irrigation District - Residential Energy Efficiency Rebate Program Modesto Irrigation District - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Sealing Your Home Ventilation Heat Pumps Water Heating Program Info Expiration Date 12/15/2013 State California Program Type Utility Rebate Program Rebate Amount Room AC: $50 Clothes Washer: $35 Water Heater: $25 Heat Pump Water Heater: $100 Refrigerator/Freezer Recycling: $35 per unit Central AC: $250 Heat Pump: $350 High Efficiency AC/Heat Pump: $500 Mini-Split AC/Heat Pump: $500 Air Duct Sealing: up to $250 max Whole House Fan: $100 per unit

331

Nature Bulletin Table of Contents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Table of Contents: Table of Contents: Here is our table of contents for the Forset Preserve District of Cook Country Nature Bulletins. To search, go to the Natuere Bulletin's Search Engine and type in your topic. You can also use your browser's "FIND" command to search the 750+ article titles here for a specific subject! Fish Smother Under Ice Coyotes in Cook County Tough Times for the Muskrats Wild Geese and Ducks Fly North Squirrels Spring Frogs Snapping Turtles A Phenomenal Spring Good People Do Not Pick Wildflowers Fire is the Enemy of Field and Forest Crows Earthworms Bees Crayfish Floods Handaxes and Knives in the Forest Preserves Ant Sanctuary Conservation Mosquitoes More About Mosquitoes Fishing in the Forest Preserve Our River Grasshoppers Chiggers Ticks Poison Ivy Fireflies

332

Category:Congressional Districts | Open Energy Information  

Open Energy Info (EERE)

Congressional Districts Congressional Districts Jump to: navigation, search This category contains all congressional districts in the United States of America. Pages in category "Congressional Districts" The following 200 pages are in this category, out of 437 total. (previous 200) (next 200) A Alabama's 1st congressional district Alabama's 2nd congressional district Alabama's 3rd congressional district Alabama's 4th congressional district Alabama's 5th congressional district Alabama's 6th congressional district Alabama's 7th congressional district Alaska's At-large congressional district Arizona's 1st congressional district Arizona's 2nd congressional district Arizona's 3rd congressional district Arizona's 4th congressional district Arizona's 5th congressional district Arizona's 6th congressional district

333

Description of 2003 CBECS Detailed Tables and Categories of Data  

Gasoline and Diesel Fuel Update (EIA)

floorspace heated, cooled, and lit, and energy-using equipment types (heating, cooling, water heating, lighting, and refrigeration). Tables C1-C12 and C1A-C12A contain energy usage...

334

Integrating district cooling with cogeneration  

SciTech Connect (OSTI)

Chillers can be driven with cogenerated thermal energy, thereby offering the potential to increase utilization of cogeneration throughout the year. However, cogeneration decreases electric output compared to condensing power generation in power plants using a steam cycle (steam turbine or gas turbine combined cycle plants). The foregone electric production increases with increasing temperature of heat recovery. Given a range of conditions for key variables (such as cogeneration utilization, chiller utilization, cost of fuel, value of electricity, value of heat and temperature of heat recovered), how do technology alternatives for combining district cooling with cogeneration compare? This paper summarizes key findings from a report recently published by the International Energy Agency which examines the energy efficiency and economics of alternatives for combining cogeneration technology options (gas turbine simple cycle, diesel engine, steam turbine, gas turbine combined cycle) with chiller options (electric centrifugal, steam turbine centrifugal one-stage steam absorption, two-stage steam absorption, hot water absorption).

Spurr, M.

1996-11-01T23:59:59.000Z

335

Geographic information system (GIS) and simulation model for management of irrigation districts  

E-Print Network [OSTI]

APPENDIX C. . . . . . . . . 155 LIST OF FIGURES Page Figure 1-The structure of integration process. . . 28 Figure 2-Fields of the hypothetical district. . . 29 Figure 3-Fields and the conveyance systems of the hypothetical district . . . . . . . 30... Table 3. Input and output data for SIMWETH . . 42 Table 4. Potential and dry land seed cotton yields, and seed cotton yields under irrigations of 40, 50, and 60 percent management allowed depletion levels, for the period 1988 to 1993 (Endale, 1995...

Nazarov, Azimjon S.

2000-01-01T23:59:59.000Z

336

Local Power Empowers: CHP and District Energy (Text Version)...  

Broader source: Energy.gov (indexed) [DOE]

technical assistance program presentation. Today we're going to talk about the combined heat and power and district energy possibilities for your local organization. What we're...

337

EECBG Success Story: Energy Efficiency Upgrades Part of Winning Formula for Oregon School District  

Broader source: Energy.gov [DOE]

The rural community of Vernonia, Oregon is incorporating energy efficiency measures into the school district buildings, including an energy efficient integrated heating and cooling system. This feature, along with upgrades to the building envelope and lighting, are estimated to reduce the school district’s annual energy usage by 43 percent. Learn more.

338

E-Print Network 3.0 - advanced industrial heat Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Management and Air Flow) - Waste Heat Recovery in Industrial Processes... on roads - District heating systems - Various industrial processes Geothermal Heat Pumps -...

339

Conversion Tables  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Carbon Dioxide Information Analysis Center - Conversion Tables Carbon Dioxide Information Analysis Center - Conversion Tables Contents taken from Glossary: Carbon Dioxide and Climate, 1990. ORNL/CDIAC-39, Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee. Third Edition. Edited by: Fred O'Hara Jr. 1 - International System of Units (SI) Prefixes 2 - Useful Quantities in CO2 3 - Common Conversion Factors 4 - Common Energy Unit Conversion Factors 5 - Geologic Time Scales 6 - Factors and Units for Calculating Annual CO2 Emissions Using Global Fuel Production Data Table 1. International System of Units (SI) Prefixes Prefix SI Symbol Multiplication Factor exa E 1018 peta P 1015 tera T 1012 giga G 109 mega M 106 kilo k 103 hecto h 102 deka da 10 deci d 10-1 centi c 10-2

340

Lassen Municipal Utility District - Residential Energy Efficiency Rebate  

Broader source: Energy.gov (indexed) [DOE]

Lassen Municipal Utility District - Residential Energy Efficiency Lassen Municipal Utility District - Residential Energy Efficiency Rebate Program Lassen Municipal Utility District - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Heat Pumps Commercial Lighting Lighting Water Heating Maximum Rebate Windows: $500 Duct Insulation/Sealing: $500 Radiant Barrier: $1,000 Program Info State California Program Type Utility Rebate Program Rebate Amount Refrigerator: $50 Freezer: $50 Clothes Washer: $35 Dishwasher: $35 Room AC: $75 Air Source Heat Pumps: $100 - $400 per ton Ground Source Heat Pump: $1,000 per ton Central A/C: $25 - $150 per ton Evaporative Cooled A/C: $175 per ton Evaporative Coolers: $75 - $200 per 1,000 sq. ft.

Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

"Table HC1.3 Heated Floorspace Usage Indicators, 2005" " Million U.S. Housing Units"  

U.S. Energy Information Administration (EIA) Indexed Site

3 Heated Floorspace Usage Indicators, 2005" 3 Heated Floorspace Usage Indicators, 2005" " Million U.S. Housing Units" ,,"Heated Floorspace (square feet)" ,"Housing Units (millions)" ,,"Fewer than 500","500 to 999","1,000 to 1,499","1,500 to 1,999","2,000 to 2,499","2,500 to 2,999","3,000 or More" "Usage Indicators" "Total",111.1,6.1,27.7,26,17.6,10,"7 7.8",11.6 "No Main Space Heating Equipment",1.2,"N","N","N","N","N","N","N" "Have Main Space Heating Equipment",109.8,6.1,27.7,26,17.6,10,"7 7.8",11.6 "Use Main Space Heating Equipment",109.1,6.1,27.7,26,17.6,10,"7 7.8",11.6

342

Empire District Electric - Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov (indexed) [DOE]

Empire District Electric - Residential Energy Efficiency Rebate Empire District Electric - Residential Energy Efficiency Rebate Program (Arkansas) Empire District Electric - Residential Energy Efficiency Rebate Program (Arkansas) < Back Eligibility Commercial Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Design & Remodeling Windows, Doors, & Skylights Ventilation Maximum Rebate Central Air Conditioner: $500 Weatherization Measures: Total cost of measures eligible for rebate cannot exceed $2,964 Program Info State Arkansas Program Type Utility Rebate Program Rebate Amount Energy Audits: Varies Weatherization Measures: 25% - 50% of cost Central Air Conditioner: $400 - $500 Programmable Thermostat: $25

343

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

5 5 Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF format Excel logo Spreadsheets are provided in excel 1 to117 - Complete set of Supplemental Tables PDF Energy Consumption by Sector (Census Division) Table 1. New England XLS PDF Table 2. Middle Atlantic XLS PDF Table 3. East North Central XLS PDF Table 4. West North Central XLS PDF Table 5. South Atlantic XLS PDF Table 6. East South Central XLS PDF Table 7. West South Central XLS PDF Table 8. Mountain XLS PDF Table 9. Pacific XLS PDF Table 10. Total United States XLS PDF Energy Prices by Sector (Census Division) Table 11. New England XLS PDF Table 12. Middle Atlantic XLS PDF Table 13. East North Central XLS PDF Table 14. West North Central XLS PDF Table 15. South Atlantic XLS PDF Table 16. East South Central

344

Safety Plan for County and District Personnel and Facilities  

E-Print Network [OSTI]

Safety Plan for County and District Personnel and Facilities Table of Contents Purpose and Scope of the Plan 2 Governance and Safety Committees Defined 2 Part I: Accident Reporting and Investigation 4 Processes 5 · Additional Training Resources 6 Part III: Safety Requirements for WSU Extension Facilities 7

Collins, Gary S.

345

IRRIGATION & ELECTRICAL DISTRICTS  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

IRRIGATION & ELECTRICAL DISTRICTS IRRIGATION & ELECTRICAL DISTRICTS ASSOCIATION OF ARIZONA R.D. JUSTICE SUITE 140 WILLIAM H. STACY PRESIDENT 340 E. PALM LANE SECRETARY-TREASURER PHOENIX, ARIZONA 85004-4603 ELSTON GRUBAUGH (602) 254-5908 ROBERT S. LYNCH VICE-PRESIDENT Fax (602) 257-9542 COUNSEL AND

346

IRRIGATION & ELECTRICAL DISTRICTS  

Broader source: Energy.gov (indexed) [DOE]

IRRIGATION & ELECTRICAL DISTRICTS IRRIGATION & ELECTRICAL DISTRICTS ASSOCIATION OF ARIZONA R. GALE PEARCE SUITE 140 ELSTON GRUBAUGH PRESIDENT 340 E. PALM LANE SECRETARY-TREASURER PHOENIX, ARIZONA 85004-4603 R.D. JUSTICE (602) 254-5908 ROBERT S. LYNCH VICE-PRESIDENT Fax (602) 257-9542 ASSISTANT SECRETARY-TREASURER

347

Table 92  

Gasoline and Diesel Fuel Update (EIA)

2. Domestic Refinery Distillation Base Capacity, Expansion, and Utilization 2. Domestic Refinery Distillation Base Capacity, Expansion, and Utilization (million barrels per day) 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 PAD District I Base Capacity 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 Capacity Additions 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 Total Capacity 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 PAD District II Base Capacity 3.5 3.6 3.6 3.6 3.6 3.6 3.6 3.6 3.6 3.6 3.6 3.6 3.6 Capacity Additions 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 Total Capacity 3.5 3.6 3.6 3.6 3.6 3.6 3.6 3.6 3.6 3.6 3.6 3.6 3.6 PAD District III Base Capacity 7.9 8.1 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 8.3 Capacity Additions 0.0 0.0 0.0 0.0 0.0 0.1 0.1 0.1 0.1 0.2 0.2 0.3 0.3 Total Capacity 7.9 8.1 8.3 8.3 8.3 8.3 8.4 8.4 8.4 8.4 8.4 8.5 8.6 PAD District IV Base Capacity 0.6 0.6 0.6 0.6 0.6 0.6 0.6

348

TABLE OF CONTENTS TABLE OF CONTENTS ...........................................................................................................................................II  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

i i ii TABLE OF CONTENTS TABLE OF CONTENTS ...........................................................................................................................................II EXECUTIVE SUMMARY ........................................................................................................................................... 3 INTRODUCTION......................................................................................................................................................... 4 COMPLIANCE SUMMARY ....................................................................................................................................... 6 COMPREHENSIVE ENVIRONMENTAL RESPONSE, COMPENSATION, AND LIABILITY ACT (CERCLA) .................... 6

349

Field Monitoring Protocol: Heat Pump Water Heaters  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

SHR Sensible heat ratio T&RH Temperature and relative humidity TC Thermocouple UA Heat loss coefficient v Table of Contents List of Figures ......

350

Economic Development Project Districts (Indiana)  

Broader source: Energy.gov [DOE]

Redevelopment commissions may petition legislative bodies to designate economic development project districts in cities with populations between 80,500 and 500,000. Such districts may be...

351

Nebraska Public Power District - Commercial Energy Efficiency Rebate  

Broader source: Energy.gov (indexed) [DOE]

Nebraska Public Power District - Commercial Energy Efficiency Nebraska Public Power District - Commercial Energy Efficiency Rebate Programs Nebraska Public Power District - Commercial Energy Efficiency Rebate Programs < Back Eligibility Commercial Fed. Government Industrial Local Government Nonprofit State Government Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Heat Pumps Appliances & Electronics Commercial Lighting Lighting Manufacturing Maximum Rebate Incentives exceeding $5000 require pre-approval Program Info State Nebraska Program Type Utility Rebate Program Rebate Amount Lighting: $0.75 - $60 per fixture, depending on type and wattage Custom Lighting: $0.07 per kWh saved Air Conditioners: Varies, see program brochure Air Source Heat Pump: up to $300; or $25 x (EER - 10.1) x tons Water Source Heat Pump: $25 x (EER - 10.5) x tons

352

Using Building Simulation and Optimization to Calculate Lookup Tables for Control  

E-Print Network [OSTI]

Total energy consumption outputs, lookup table controlMPC energy . . . . . . . . . . . Total energy consumptionyear. The annual total energy consumption (heating + cooling

Coffey, Brian

2011-01-01T23:59:59.000Z

353

Using Building Simulation and Optimization to Calculate Lookup Tables for Control  

E-Print Network [OSTI]

Total energy consumption outputs, lookup table controlMPC energy . . . . . . . . . . . Total energy consumptionyear. The annual total energy consumption (heating + cooling

Coffey, Brian

2012-01-01T23:59:59.000Z

354

PAD District / Refinery Location Total Atmospheric Distillation  

U.S. Energy Information Administration (EIA) Indexed Site

Operable Date of Last Operation Date Shutdown Table 11. New, Shutdown and Reactivated Refineries During 2012 a b REACTIVATED PAD District I 185,000 366,700 Monroe Energy LLC Trainer, PA 185,000 366,700 09/12 c SHUTDOWN PAD District I 80,000 47,000 ChevronUSA Inc Perth Amboy, NJ 80,000 47,000 03/08 07/12 PAD District III 16,800 19,500 Western Refining Southwest Inc Bloomfield, NM 16,800 19,500 12/09 11/12 PAD District VI 500,000 1,086,000 Hovensa LLC Kingshill, VI 500,000 1,086,000 02/12 02/12 a b bbl/cd=Barrels per calendar day. bbl/sd=Barrels per stream day. Sources: Energy Information Administration (EIA) Form EIA-810, "Monthly Refinery Report" and Form EIA-820, "Annual Refinery Report." c Formerly owned by ConocoPhillips Company.

355

Precision Flow Table | Open Energy Information  

Open Energy Info (EERE)

Table Table Jump to: navigation, search Basic Specifications Facility Name Flow Table Overseeing Organization United States Army Corp of Engineers (ERDC) Hydrodynamic Testing Facility Type Flow Table Length(m) 2.4 Beam(m) 1.2 Water Type Freshwater Cost(per day) Contact POC Towing Capabilities Towing Capabilities None Wavemaking Capabilities Wavemaking Capabilities None Channel/Tunnel/Flume Channel/Tunnel/Flume Yes Wind Capabilities Wind Capabilities None Control and Data Acquisition Description Automated data acquisition and control system Cameras None Available Sensors Flow, Pressure Range(psi), Turbulence, Velocity, Wave Probe Data Generation Capability Real-Time No Test Services Test Services Yes Past Pertinent Test Experience Users are District Engineers, Planners, and Engineering Consultants

356

District of Columbia | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

United States » District of Columbia United States » District of Columbia District of Columbia October 16, 2013 Pacific Power - FinAnswer Express Pacific Power's FinAnswer Express Program includes incentives and technical assistance for lighting, HVAC and other equipment upgrades that increase energy efficiency and exceed code requirements in commercial and industrial facilities. Both retrofits of existing equipment and new construction projects are eligible for incentives. For retrofits, the utility may need to verify existing equipment. Prescriptive rebates and custom incentives calculated from energy savings are available. October 16, 2013 Pacific Power - Energy FinAnswer Pacific Power's Energy FinAnswer program provides cash incentives to help its commercial and industrial customers improve their heating, cooling,

357

Definition: District chilled water | Open Energy Information  

Open Energy Info (EERE)

chilled water chilled water Jump to: navigation, search Dictionary.png District chilled water Water chilled outside of a building in a central plant and piped into the building as an energy source for cooling. Chilled water may be purchased from a utility or provided by a central physical plant in a separate building that is part of the same multibuilding facility (e.g. a hospital complex or university).[1][2] View on Wikipedia Wikipedia Definition Related Terms District heat References ↑ http://205.254.135.24/tools/glossary/index.cfm?id=D ↑ http://buildingsdatabook.eren.doe.gov/Glossary.aspx#Tech Ret LikeLike UnlikeLike You like this.Sign Up to see what your friends like. rieved from "http://en.openei.org/w/index.php?title=Definition:District_chilled_water&oldid=423381"

358

Empire District Electric Co | Open Energy Information  

Open Energy Info (EERE)

Electric Co Electric Co Jump to: navigation, search Name Empire District Electric Co Place Arkansas Utility Id 5860 References Energy Information Administration.[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png RS Schedule RG Residential RS Schedule RG Residential Average Rates Residential: $0.0938/kWh Commercial: $0.0860/kWh Industrial: $0.0670/kWh The following table contains monthly sales and revenue data for Empire District Electric Co (Arkansas). Month RES REV (THOUSAND $) RES SALES (MWH) RES CONS COM REV (THOUSAND $) COM SALES (MWH) COM CONS IND_REV (THOUSAND $) IND SALES (MWH) IND CONS OTH REV (THOUSAND $) OTH SALES (MWH) OTH CONS TOT REV (THOUSAND $) TOT SALES (MWH) TOT CONS

359

Empire District Electric Co | Open Energy Information  

Open Energy Info (EERE)

(Redirected from Empire) (Redirected from Empire) Jump to: navigation, search Name Empire District Electric Co Place Arkansas Utility Id 5860 References Energy Information Administration.[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png RS Schedule RG Residential RS Schedule RG Residential Average Rates Residential: $0.0938/kWh Commercial: $0.0860/kWh Industrial: $0.0670/kWh The following table contains monthly sales and revenue data for Empire District Electric Co (Arkansas). Month RES REV (THOUSAND $) RES SALES (MWH) RES CONS COM REV (THOUSAND $) COM SALES (MWH) COM CONS IND_REV (THOUSAND $) IND SALES (MWH) IND CONS OTH REV (THOUSAND $) OTH SALES (MWH) OTH CONS TOT REV (THOUSAND $) TOT SALES (MWH) TOT CONS

360

Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil...  

Gasoline and Diesel Fuel Update (EIA)

W 839.2 135.0 1,251.9 See footnotes at end of table. 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil Volumes by PAD District and State Energy Information Administration...

Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

W 1,039.3 132.9 1,418.3 See footnotes at end of table. 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil Volumes by PAD District and State Energy Information Administration...

362

Table A2. Refiner/Reseller Prices of Aviation Fuels, Propane...  

Gasoline and Diesel Fuel Update (EIA)

- W 73.5 See footnotes at end of table. A2. RefinerReseller Prices of Aviation Fuels, Propane, and Kerosene, by PAD District, 1983-Present Energy Information Administration ...

363

Table A1. Refiner/Reseller Motor Gasoline Prices by Grade, PAD...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

78.2 101.8 83.6 87.5 74.7 See footnotes at end of table. A1. RefinerReseller Motor Gasoline Prices by Grade, PAD District, and State, 1984-Present 452 Energy Information...

364

1992 CBECS Detailed Tables  

Gasoline and Diesel Fuel Update (EIA)

Detailed Tables Detailed Tables To download all 1992 detailed tables: Download Acrobat Reader for viewing PDF files. Yellow Arrow Buildings Characteristics Tables (PDF format) (70 tables, 230 pages, file size 1.39 MB) Yellow Arrow Energy Consumption and Expenditures Tables (PDF format) (47 tables, 208 pages, file size 1.28 MB) Yellow Arrow Energy End-Use Tables (PDF format) (6 tables, 6 pages, file size 31.7 KB) Detailed tables for other years: Yellow Arrow 1999 CBECS Yellow Arrow 1995 CBECS Background information on detailed tables: Yellow Arrow Description of Detailed Tables and Categories of Data Yellow Arrow Statistical Significance of Data 1992 Commercial Buildings Energy Consumption Survey (CBECS) Detailed Tables Data from the 1992 Commercial Buildings Energy Consumption Survey (CBECS) are presented in three groups of detailed tables:

365

ELECTRICAL DISTRICT No.  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ELECTRICAL ELECTRICAL DISTRICT No. 4 PINAL COUNTY POST OFFICE BOX 605- ELOY, ARIZONA 85131 Telephone: (520) 468-7338 BOARD OF DIRECTORS: DISTRICT MANAGER: MARK HAMILTON, CHAIRMAN RON McEACHERN CHARLES BUSH ThOMAS W. SCM JAMES F. SHEDD WILLIAM WARREN VIA ELECTRONIC MAIL TO: DSWFPP~2wapa.gov July 19, 2010 Mr. Darrick Moe Desert Southwest Regional Manager Western Area Power Authority P.O. Box 6457 Phoenix, AZ 85005-6457 Re: SPPR Proposed ED5 to Palo Verde Transmission Project Electrical District Number Four of Pinal County ("ED4") and Electrical District Number Five of Pinal County ("ED5") are members of the Southwest Public Power Resource ("SPPR") Group and support the ED5 to Palo Verde Project Statement of Interest ("SOT") submitted by the SPPR Group. ED4 is also a participant in the Southeast Valley C'SEV") Project and has offered to

366

Ohio's 13th congressional district: Energy Resources | Open Energy  

Open Energy Info (EERE)

3th congressional district: Energy Resources 3th congressional district: Energy Resources Jump to: navigation, search Equivalent URI DBpedia This article is a stub. You can help OpenEI by expanding it. This page represents a congressional district in Ohio. US Recovery Act Smart Grid Projects in Ohio's 13th congressional district FirstEnergy Service Company Smart Grid Project Registered Energy Companies in Ohio's 13th congressional district A.J. Rose Manufacturing Company Advanced Hydro Solutions Akrong Machine Services Castle Energy Services Echogen Power Systems, Inc. FirstEnergy Free Energy Alliance Green Energy Technologies Green Energy Technologies LLC GreenField Solar Corp. Jennings The Energy Factory Pier Associates, Inc. Randa Energy Solutions LLC R A Energy Solutions Raymond Plumbing & Heating

367

Omaha Public Power District - Commercial Energy Efficiency Rebate Programs  

Broader source: Energy.gov (indexed) [DOE]

Omaha Public Power District - Commercial Energy Efficiency Rebate Omaha Public Power District - Commercial Energy Efficiency Rebate Programs Omaha Public Power District - Commercial Energy Efficiency Rebate Programs < Back Eligibility Commercial Industrial Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Appliances & Electronics Commercial Lighting Lighting Maximum Rebate Lighting: $20,000 or up to 20% of cost Program Info State Nebraska Program Type Utility Rebate Program Rebate Amount Fluorescent Lighting: $5 - $32/fixture High Intensity Discharge Lighting: $5 - $75/unit Exit Sign: $5/unit LED Lighting: $6 - $55/unit Incandescent: $4 - $8 Lamp Upgrade: $1 - $1.50/unit Custom Lighting Measures: Contact Utility Heat Pump: $50/nominal ton Innovative Energy Efficiency Project: 50% of study cost and $400/kW of peak

368

Local Option - Special Improvement Districts | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Special Improvement Districts Special Improvement Districts Local Option - Special Improvement Districts < Back Eligibility Commercial Industrial Multi-Family Residential Residential Savings Category Bioenergy Buying & Making Electricity Water Solar Home Weatherization Heating & Cooling Swimming Pool Heaters Water Heating Commercial Heating & Cooling Heating Wind Program Info Start Date 5/28/2009 State Nevada Program Type PACE Financing '''''Note: The Federal Housing Financing Agency (FHFA) issued a [http://www.fhfa.gov/webfiles/15884/PACESTMT7610.pdf statement] in July 2010 concerning the senior lien status associated with most PACE programs. In response to the FHFA statement, most local PACE programs have been suspended until further clarification is provided. ''''' Property-Assessed Clean Energy (PACE) financing effectively allows property

369

Local Option - Renewable Energy Financing District/Solar Energy Improvement  

Broader source: Energy.gov (indexed) [DOE]

Local Option - Renewable Energy Financing District/Solar Energy Local Option - Renewable Energy Financing District/Solar Energy Improvement Special Assessments Local Option - Renewable Energy Financing District/Solar Energy Improvement Special Assessments < Back Eligibility Commercial Residential Savings Category Buying & Making Electricity Solar Heating & Cooling Commercial Heating & Cooling Heating Water Heating Wind Program Info Start Date 07/01/2009 State New Mexico Program Type PACE Financing Provider New Mexico Energy, Minerals and Natural Resources Department '''''Note: The Federal Housing Financing Agency (FHFA) issued a [http://www.fhfa.gov/webfiles/15884/PACESTMT7610.pdf statement] in July 2010 concerning the senior lien status associated with most PACE programs. In response to the FHFA statement, most local PACE programs have been

370

The Forest Preserve District  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Forest Preserve District Forest Preserve District Nature Bulletin No. 109 March 29, 1947 Forest Preserve District of Cook County William N. Erickson, President Roberts Mann, Supt. of Conservation THE FOREST PRESERVE DISTRICT Forest Preserve Districts, in Illinois, are separate municipal bodies governed by a Board of Forest Preserve Commissioners consisting of the elected county commissioners, as in Cook County, or by a committee of the county board of supervisors, as in 7 other counties. The legislative act which provided for such a district, if authorized by referendum vote of the people, became a law on July 1, 1914. Under that act, the commissioners are empowered to levy taxes, issue bonds, and to acquire lands containing forests "for the purpose of protecting and preserving the flora, fauna and scenic beauties.... and to restore, restock, protect and preserve the natural forests and said lands with their flora and fauna, as nearly as may be in their natural state and condition for the purpose of the education, pleasure and recreation of the public". A limit of 35,000 acres was set; later increased to 39,000.

371

Maples v. University of Texas Medical Branch at Galveston Slip Copy, 2013 WL 1777501 (Table)  

E-Print Network [OSTI]

NACUA Maples v. University of Texas Medical Branch at Galveston Slip Copy, 2013 WL 1777501 (Table OF TEXAS MEDICAL BRANCH AT GALVESTON, Defendant­Appellee. No. 12­41226 Summary Calendar. April 26, 2013 disabilities. The United States District Court for the Southern District of Texas, 901 F.Supp.2d 874, 291 Ed

Polly, David

372

Table Definitions, Sources, and Explanatory Notes  

Gasoline and Diesel Fuel Update (EIA)

Residual Fuel Imports by State Residual Fuel Imports by State Definitions Key Terms Definition Barrel A unit of volume equal to 42 U.S. gallons. Imports Receipts of crude oil and petroleum products into the 50 States and the District of Columbia from foreign countries, Puerto Rico, the Virgin Islands, and other U.S. possessions and territories. Petroleum Administration for Defense (PAD) Districts Geographic aggregations of the 50 States and the District of Columbia into five districts by the Petroleum Administration for Defense in 1950. These districts were originally defined during World War II for purposes of administering oil allocation. Description and maps of PAD Districts and Refining Districts. Residual Fuel Oil A general classification for the heavier oils, known as No. 5 and No. 6 fuel oils, that remain after the distillate fuel oils and lighter hydrocarbons are distilled away in refinery operations. It conforms to ASTM Specifications D396 and D975 and Federal Specification VV-F-815C. No. 5, a residual fuel oil of medium viscosity, is also known as Navy Special and is defined in Military Specification MIL-F-859E, including Amendment 2 (NATO Symbol F-770). It is used in steam-powered vessels in government service and inshore powerplants. No. 6 fuel oil includes Bunker C fuel oil and is used for the production of electric power, space heating, vessel bunkering, and various industrial purposes.

373

Modesto Irrigation District - New Home Energy Efficiency Rebate Program |  

Broader source: Energy.gov (indexed) [DOE]

Modesto Irrigation District - New Home Energy Efficiency Rebate Modesto Irrigation District - New Home Energy Efficiency Rebate Program Modesto Irrigation District - New Home Energy Efficiency Rebate Program < Back Eligibility Construction Multi-Family Residential Residential Savings Category Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Program Info State California Program Type Utility Rebate Program Rebate Amount Single-Family Dwelling: $500 Multi-Family Dwelling: $250 Provider Energy Management Department Modesto Irrigation District's MPower New Home Program provides incentives to builders and homeowners for designing and building energy-efficient homes. Eligible homes must meet the guidelines for California Energy Star Qualified New Homes, listed on the program application. Each qualified new

374

chapter 5. Detailed Tables  

U.S. Energy Information Administration (EIA) Indexed Site

5. Detailed Tables 5. Detailed Tables Chapter 5. Detailed Tables The following tables present detailed characteristics of vehicles in the residential sector. Data are from the 1994 Residential Transportation Energy Consumption Survey. Table Organization The "Detailed Tables" section consists of three types of tables: (1) Tables of totals such as number of vehicle-miles traveled (VMT) or gallons consumed; (2) tables of per household statistics such as VMT per household; and (3) tables of per-vehicle statistics, such as vehicle fuel consumption per vehicle. The tables have been grouped together by specific topics such as model-year data or family-income data to facilitate finding related information. The Quick-Reference Guide to the detailed tables indicates major topics of each table.

375

Notices TABLE  

Broader source: Energy.gov (indexed) [DOE]

7 Federal Register 7 Federal Register / Vol. 76, No. 160 / Thursday, August 18, 2011 / Notices TABLE 2-NET BURDEN CHANGE-Continued 2011-2012 2012-2013 Change % Change Burden disposition Total Applicants .................................... 23,611,500 24,705,864 +1,094,364 +4.63 Net decrease in burden. The increase in applicants is offset by the results of the Department's simplification changes. This has created an over- all decrease in burden of 8.94% or 2,881,475 hours. Total Applicant Burden ......................... 32,239,328 29,357,853 ¥2,881,475 ¥8.94 Total Annual Responses ....................... 32,239,328 46,447,024 +14,207,696 +44.07 Cost for All Applicants .......................... $159,370.20 $234,804.24 $75,434.04 +47.33 The Department is proud that efforts to simplify the FAFSA submission

376

Table 4  

U.S. Energy Information Administration (EIA) Indexed Site

4. Mean Annual Electricity Expenditures for Lighting, by Number of 4. Mean Annual Electricity Expenditures for Lighting, by Number of Household Members by Number of Rooms, 1993 (Dollars) Number of Rooms Number of Household Members All Households One to Three Four Five Six Seven Eight or More RSE Column Factors: 0.5 1.8 1.1 0.9 0.9 1.0 1.2 RSE Row Factors All Households................................... 83 49 63 76 87 104 124 2.34 One..................................................... 55 44 51 54 69 78 87 5.33 Two..................................................... 80 56 63 77 82 96 107 3.38 Three.................................................. 92 60 73 82 95 97 131 4.75 Four.................................................... 106 64 78 93 96 124 134 4.53 Five or More....................................... 112 70 83 98 99 117 150 5.89 Notes: -- To obtain the RSE percentage for any table cell, multiply the

377

HEAT ROADMAP EUROPE 2050 SECOND PRE-STUDY FOR THE EU27  

E-Print Network [OSTI]

Research Centre for 4th Generation District Heating (4DH), which has received funding from The Danish. However, this pre-study outlines the previously unconsidered potential of district heating and cooling requirements of district heating and cooling as technologies. The authors intend to continue developing

Kolaei, Alireza Rezania

378

Table 4  

U.S. Energy Information Administration (EIA) Indexed Site

. Light Usage by Heated Floorspace Category, Million U.S. . Light Usage by Heated Floorspace Category, Million U.S. Households, 1993 Heated Floorspace Category (square feet) Housing Unit and Household Characteristics Total Fewer than 600 600 to 999 1,000 to 1,599 1,600 to 1,999 2,000 to 2,399 2,400 to 2,999 3,000 or More RSE Column Factors: 0.4 1.7 0.9 0.8 1.1 1.2 1.2 1.2 RSE Row Factors Total................................................. 96.6 7.5 21.8 27.8 12.4 9.6 8.2 9.3 3.62 Indoor Electric Lights Total Number Lights 1 to 4 Hours None........................................... 9.6 1.2 2.2 2.7 1.1 0.9 0.7 0.6 11.83 1 ................................................. 22.1 2.4 6.7 6.5 2.5 1.5 1.5 1.1 7.39 2 ................................................. 27.4 2.4 6.9 8.0 3.6 2.4 2.1 2.0 6.60 3 ................................................. 16.8 0.8 3.4 5.2 2.2 2.0

379

Table 4  

U.S. Energy Information Administration (EIA) Indexed Site

. Light Usage by Heated Floorspace Category, Percent of U.S. . Light Usage by Heated Floorspace Category, Percent of U.S. Households, 1993 Heated Floorspace Category (square feet) Housing Unit and Household Characteristics Total Fewer than 600 600 to 999 1,000 to 1,599 1,600 to 1,999 2,000 to 2,399 2,400 to 2,999 3,000 or More RSE Column Factors: 0.4 1.6 0.9 0.8 1.1 1.2 1.3 1.2 RSE Row Factor Total................................................. 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 0.0 Indoor Electric Lights Total Number Lights 1 to 4 Hours None........................................... 10.0 16.5 10.2 9.9 9.2 9.4 9.1 6.7 11.42 1 ................................................. 22.9 31.3 30.9 23.5 19.9 15.3 17.9 11.5 6.62 2 ................................................. 28.4 32.3 31.9 28.7 28.7 24.8 26.0 21.5 5.64 3 .................................................

380

Inland Navigation Districts and Florida Inland Navigation District Law  

Broader source: Energy.gov (indexed) [DOE]

Inland Navigation Districts and Florida Inland Navigation District Inland Navigation Districts and Florida Inland Navigation District Law (Florida) Inland Navigation Districts and Florida Inland Navigation District Law (Florida) < Back Eligibility Agricultural Commercial Construction Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Water Buying & Making Electricity Home Weatherization Program Info State Florida Program Type Siting and Permitting Provider Florida Inland Navigation District (FIND) The first part of this legislation establishes Inland Navigation Districts,

Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

1995 Detailed Tables  

U.S. Energy Information Administration (EIA) Indexed Site

Households, Buildings & Industry > Commercial Buildings Energy Households, Buildings & Industry > Commercial Buildings Energy Consumption Survey > Detailed Tables 1995 Detailed Tables Data from the 1995 Commercial Buildings Energy Consumption Survey (CBECS) are presented in three groups of detailed tables: Buildings Characteristics Tables, number of buildings and amount of floorspace for major building characteristics. Energy Consumption and Expenditures Tables, energy consumption and expenditures for major energy sources. Energy End-Use Data, total, electricity and natural gas consumption and energy intensities for nine specific end-uses. Summary Table—All Principal Buildings Activities (HTML Format) Background information on detailed tables: Description of Detailed Tables and Categories of Data Statistical Significance of Data

382

PAD District / Refinery Location Total Atmospheric Distillation  

U.S. Energy Information Administration (EIA) Indexed Site

of Last of Last Operation Date Shutdown Table 13. Refineries Permanently Shutdown By PAD District Between January 1, 1990 and January 1, 2013 PAD District I 542,450 GNC Energy Corp Greensboro, NC 3,000 0 a Primary Energy Corp Richmond, VA 6,100 0 a Saint Mary's Refining Co Saint Mary's, WV 4,000 4,480 02/93 03/93 Cibro Refining Albany, NY 41,850 27,000 07/93 09/93 Calumet Lubricants Co LP Rouseville, PA 12,800 26,820 03/00 06/00 Young Refining Corp. Douglasville, GA 5,400 0 07/04 07/04 Sunoco Inc Westville, NJ 145,000 263,000 11/09 02/10 Western Refining Yorktown Inc Yorktown, VA 66,300 182,600 09/10 12/11 Sunoco Inc Marcus Hook, PA 178,000 278,000 12/11 12/11 ChevronUSA Inc Perth Amboy, NJ 80,000 47,000 03/08 07/12 PAD District II 460,315 Coastal Refining & Mktg El Dorado, KS 0 20,000 b Intercoastal Energy Svcs

383

Table Definitions, Sources, and Explanatory Notes  

Gasoline and Diesel Fuel Update (EIA)

Heating Oil & Propane Prices Heating Oil & Propane Prices Definitions Key Terms Definition No. 2 Fuel Oil (Heating Oil) A distillate fuel oil for use in atomizing type burners for domestic heating or for use medium capacity commercial-industrial burner units, with distillation temperatures between 540-640 degrees Fahrenheit at the 90-percent recovery point; and the kinematic viscosities between 1.9-3.4 centistokes at 100 degrees Fahrenheit as defined in ASTM Specification D396-92. Petroleum Administration for Defense District (PADD): PADD 1 (East Coast): PADD 1A (New England): Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont. PADD 1B (Central Atlantic): Delaware, District of Columbia, Maryland, New Jersey, New York, Pennsylvania. PADD 1C (Lower Atlantic): Florida, Georgia, North Carolina, South Carolina, Virginia, West Virginia.

384

E-Print Network 3.0 - address heat tolerance Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

greenhouses... temperature and flows are suggested for spas and pools, space and district heating, greenhouse and aquaculture... pond heating, and industrial applications....

385

Flexibility in heat demand at the TU Delft campus smart thermal grid with phase change materials:.  

E-Print Network [OSTI]

??Plans have been made to change the current district heating grid at the TU Delft to a smart thermal grid. New heat suppliers will be… (more)

Van Vliet, E.H.A.

2013-01-01T23:59:59.000Z

386

Design of a Heating System with Geothermal Energy and CO2 Capture:.  

E-Print Network [OSTI]

??Heating constitutes about 40% of the final energy consumption at TU Delft. In the present, the district heating system in campus obtains its energy from… (more)

Reyes Lastiri, D.

2013-01-01T23:59:59.000Z

387

Modesto Irrigation District - Commercial Energy Efficiency Rebate Program |  

Broader source: Energy.gov (indexed) [DOE]

Modesto Irrigation District - Commercial Energy Efficiency Rebate Modesto Irrigation District - Commercial Energy Efficiency Rebate Program Modesto Irrigation District - Commercial Energy Efficiency Rebate Program < Back Eligibility Agricultural Commercial Industrial Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Other Construction Commercial Weatherization Manufacturing Heat Pumps Appliances & Electronics Commercial Lighting Lighting Maximum Rebate Rebate Caps vary according to MID electric rate schedule, they range from $10,000 - $50,000. Cap exemption can be requested. Program Info Expiration Date 12/15/2012 State California Program Type Utility Rebate Program Rebate Amount Lighting and Sensors: Varies, consult program website Auto Door Closers: $56 - $65/closer Strip Curtains: $3/sq ft Plastic Swinging Doors: $4/sq ft

388

Local Option - Special Energy Improvement Districts | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Local Option - Special Energy Improvement Districts Local Option - Special Energy Improvement Districts Local Option - Special Energy Improvement Districts < Back Eligibility Agricultural Commercial Industrial Low-Income Residential Multi-Family Residential Residential Savings Category Bioenergy Solar Buying & Making Electricity Heating & Cooling Commercial Heating & Cooling Water Heating Wind Program Info Start Date 10/16/2009 State Ohio Program Type PACE Financing '''''Note: The Federal Housing Financing Agency (FHFA) issued a [http://www.fhfa.gov/webfiles/15884/PACESTMT7610.pdf statement] in July 2010 concerning the senior lien status associated with most PACE programs. In response to the FHFA statement, most local PACE programs have been suspended until further clarification is provided. ''''' Property-Assessed Clean Energy (PACE) financing effectively allows property

389

Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...  

Gasoline and Diesel Fuel Update (EIA)

W W 78.6 W 85.7 81.8 W 69.3 73.8 See footnotes at end of table. 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District and State 176 Energy Information...

390

Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...  

Gasoline and Diesel Fuel Update (EIA)

W 70.5 78.9 W 76.0 83.6 W 69.2 75.2 See footnotes at end of table. 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District and State 176 Energy Information...

391

Forestry Policies (District of Columbia)  

Broader source: Energy.gov [DOE]

Forest policy and guidelines in Washington D.C. are focused on urban forestry, and are managed by the District Department of Transportation's Urban Forestry Administration. In 2010 The District...

392

Table 21  

Gasoline and Diesel Fuel Update (EIA)

4 4 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 Equipment Stock (million units) Main Space Heaters Electric Heat Pumps 11.48 12.04 12.54 13.00 13.46 13.92 14.38 14.84 15.28 15.72 16.16 16.60 17.05 Electric Other 20.93 21.02 21.11 21.19 21.29 21.39 21.49 21.59 21.69 21.78 21.88 21.99 22.09 Natural Gas Heat Pumps 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Natural Gas Other 61.96 63.00 63.91 64.79 65.67 66.53 67.40 68.27 69.11 69.92 70.72 71.54 72.36 Distillate Fuel Oil 8.65 8.64 8.61 8.57 8.54 8.51 8.48 8.46 8.44 8.43 8.42 8.41 8.39 Liquefied Petroleum Gases 5.14 5.22 5.30 5.34 5.39 5.43 5.48 5.53 5.57 5.62 5.66 5.70 5.75 Kerosene 0.81 0.81 0.81 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.80 Wood Stoves 2.00 1.98 1.96 1.93 1.91 1.89 1.87 1.85 1.83 1.82 1.80 1.78 1.76 Geothermal Heat Pumps 0.12 0.16 0.20 0.24

393

NEBRASKA PUBLIC POWER DISTRICT: CUSTOMER MEETING ON ENERGY ALTERNATIVES - SUMMARY OF RESULTS  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

NEBRASKA PUBLIC POWER DISTRICT NEBRASKA PUBLIC POWER DISTRICT CUSTOMER MEETING ON ENERGY ALTERNATIVES SUMMARY OF RESULTS August 19, 2003 Prepared by: The Public Decision Partnership: Will Guild, Ph.D. Ron Lehr Dennis Thomas, Ph.D. i Table of Contents Executive Summary ...........................................................................................................1 Summary of the Process....................................................................................................5 Contact persons ..................................................................................................................8 Response to Proposed Projects .........................................................................................9 Do you think NPPD should go forward with a 200 megawatt wind farm?

394

Numerical Evaluation of Flow and Heat Transfer in Plate-Pin Fin Heat Sinks with Various Pin Cross-Sections  

E-Print Network [OSTI]

in Table 3. The grid systems for all heat sink models areregion. The grid system for one of the heat sinks is shown

Zhou, Feng; Catton, Ivan

2011-01-01T23:59:59.000Z

395

"RSE Table C10.2. Relative Standard Errors for Table C10.2;"  

U.S. Energy Information Administration (EIA) Indexed Site

2. Relative Standard Errors for Table C10.2;" 2. Relative Standard Errors for Table C10.2;" " Unit: Percents." ,,,"Establishments" " "," ",,"with Any"," Steam Turbines","Supplied","by Either","Conventional","Combustion","Turbines"," "," "," ","Internal","Combustion","Engines"," Steam Turbines","Supplied","by Heat",," " " "," ",,"Cogeneration","Conventional","or Fluidized","Bed Boilers","with","Heat","Recovery","Combined-Cycle","Combustion","Turbines","with","Heat","Recovery","Recovered from","High-Temperature","Processes"

396

Optimal control of a multi-energy district boiler: a case study  

E-Print Network [OSTI]

Optimal control of a multi-energy district boiler: a case study J. Eynard S. Grieu M. Polit of a multi-energy district boiler (La Rochelle, France) which supplies domestic hot water and heats optimizing the use of both the tank and the wood boiler. As a result, fossil energy consumption and CO2

Paris-Sud XI, Université de

397

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF format. Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF format. MS Excel Viewer Spreadsheets are provided in excel Errata - August 25, 2004 1 to117 - Complete set of of Supplemental Tables PDF Table 1. Energy Consumption by Source and Sector (New England) XLS PDF Table 2. Energy Consumption by Source and Sector (Middle Atlantic) XLS PDF Table 3. Energy Consumption by Source and Sector (East North Central) XLS PDF Table 4. Energy Consumption by Source and Sector (West North Central) XLS PDF Table 5. Energy Consumption by Source and Sector (South Atlantic) XLS PDF Table 6. Energy Consumption by Source and Sector (East South Central) XLS PDF Table 7. Energy Consumption by Source and Sector (West South Central) XLS PDF Table 8. Energy Consumption by Source and Sector (Mountain)

398

1999 CBECS Detailed Tables  

U.S. Energy Information Administration (EIA) Indexed Site

Commercial Buildings Energy Consumption Survey (CBECS) > Detailed Tables Commercial Buildings Energy Consumption Survey (CBECS) > Detailed Tables 1999 CBECS Detailed Tables Building Characteristics | Consumption & Expenditures Data from the 1999 Commercial Buildings Energy Consumption Survey (CBECS) are presented in the Building Characteristics tables, which include number of buildings and total floorspace for various Building Characteristics, and Consumption and Expenditures tables, which include energy usage figures for major energy sources. A table of Relative Standard Errors (RSEs) is included as a worksheet tab in each Excel tables. Complete sets of RSE tables are also available in .pdf format. (What is an RSE?) Preliminary End-Use Consumption Estimates for 1999 | Description of 1999 Detailed Tables and Categories of Data

399

ELECTRICAL DISTRICT NUMBER EIGHT  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ELECTRICAL DISTRICT NUMBER EIGHT ELECTRICAL DISTRICT NUMBER EIGHT Board of Directors Reply to: Ronald Rayner C. W. Adams James D. Downing, P.E. Chairman Billy Hickman 66768 Hwy 60 Brian Turner Marvin John P.O. Box 99 Vice-Chairman Jason Pierce Salome, AZ 85348 Denton Ross Jerry Rovey Secretary James N. Warkomski ED8@HARCUVARCO.COM John Utz Gary Wood PHONE:(928) 859-3647 Treasurer FAX: (928) 859-3145 Sent via e-mail Mr. Darrick Moe, Regional Manager Western Area Power Administration Desert Southwest Region P. O. Box 6457 Phoenix, AZ 85005-6457 moe@wapa.gov; dswpwrmrk@wapa.gov Re: ED5-Palo Verde Hub Project Dear Mr. Moe, In response to the request for comments issued at the October 6 Parker-Davis Project customer th meeting, and in conjunction with comments previously submitted by the Southwest Public Power

400

Modesto Irrigation District - Commercial New Construction Rebate Program |  

Broader source: Energy.gov (indexed) [DOE]

Modesto Irrigation District - Commercial New Construction Rebate Modesto Irrigation District - Commercial New Construction Rebate Program Modesto Irrigation District - Commercial New Construction Rebate Program < Back Eligibility Agricultural Commercial Industrial Savings Category Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Other Appliances & Electronics Commercial Lighting Lighting Maximum Rebate 50% of the incremental cost of the project(s) included in the application. The maximum annual payment cap is determined per account, by the applicable MID electric rate schedule: $15,000 (GS-1); $25,000 (P-3); $50,000 (GS-2); $125,000 (GS-TOU); $250,000 (GS-3); $500,000 (IC-25). Program Info Expiration Date 12/15/2013 State California Program Type

Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Empire District Electric - Commercial and Industrial Efficiency Rebates |  

Broader source: Energy.gov (indexed) [DOE]

Empire District Electric - Commercial and Industrial Efficiency Empire District Electric - Commercial and Industrial Efficiency Rebates Empire District Electric - Commercial and Industrial Efficiency Rebates < Back Eligibility Commercial Industrial Institutional Nonprofit Schools Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Other Appliances & Electronics Commercial Lighting Lighting Manufacturing Maximum Rebate 20,000 per program year per customer Program Info State Missouri Program Type Utility Rebate Program Rebate Amount Lighting: 2 - 50 per fixture Lighting Power Density: 1 per watt per square foot Lighting Sensors: 20 - 50 per sensor Central AC: 73 - 92 per ton Motors: 50 - 130 per motor Energy Audit: 50% of cost Custom: Lesser of 50% of incremental cost; 2-year payback equivalent; or

402

Empire District Electric - Commercial and Industrial Energy Efficiency  

Broader source: Energy.gov (indexed) [DOE]

Empire District Electric - Commercial and Industrial Energy Empire District Electric - Commercial and Industrial Energy Efficiency Rebates Empire District Electric - Commercial and Industrial Energy Efficiency Rebates < Back Eligibility Commercial Industrial Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Other Appliances & Electronics Commercial Lighting Lighting Manufacturing Maximum Rebate 5,000; additional funds may be available for final 3 months of program year Program Info State Arkansas Program Type Utility Rebate Program Rebate Amount Custom: lesser of $.30 per kWh savings, 50% of incremental cost, or buydown to two year payback Fluorescent Lamps/Fixtures: $0.50 - $16 High Performance T8 Systems: $9 - $18 High-Bay Fluorescent Lamps/Ballasts: $40 - $125 CFL Fixtures: $8 - $25 Pendant/Wall Mount/Recessed Indirect Fixtures: $16 - $24

403

Microsoft Word - table_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 2. Natural gas production, transmission, and consumption, by state, 2012 (million cubic feet) U.S. Energy Information Administration | Natural Gas Annual 4 Table 2 Alabama 215,710 7,110 -162,223 617,883 0 -2,478 0 666,738 Alaska 351,259 21,470 22,663 0 -9,342 0 0 343,110 Arizona 117 0 -13,236 389,036 -43,838 0 0 332,079 Arkansas 1,146,168 424 -18,281 -831,755 0 -103 0 295,811 California 246,822 12,755 104,820 2,222,355 -109,787 48,071 0 2,403,385 Colorado 1,709,376 81,943 -107,940 -1,077,968 0 2,570 4,412 443,367 Connecticut 0 0 4,191 225,228 0 260 0 229,159 Delaware 0 0 21,035 80,692 0 51 * 101,676 District of Columbia 0 0 497 28,075 0 0 0 28,572 Florida 18,681 0 15,168 1,294,620 0 0 0 1,328,469

404

Continuous Commissioning® and Energy Management Control Strategies at Alamo Community College District  

E-Print Network [OSTI]

This paper presents an overview of energy savings through the optimization of facility Heating, Ventilation, and Air Conditioning (HVAC) systems for the college campuses of the Alamo Community College District. This Continuous Commissioning® process...

Martinez, J.; Verdict, M.; Baltazar, J.C.

405

1District health services research: 2011 District health  

E-Print Network [OSTI]

meDicine anD Primary care, faculty of meDicine anD HealtH sciences, stellenboscH university #12RoDUctIon...................................................................................................................................... clInIcal famIly meDIcIne anD DIstRIct health caRe systems1District health services research: 2011 District health services research: 2011Division of family

Geldenhuys, Jaco

406

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

December 22, 2000 (Next Release: December, 2001) Related Links Annual Energy Outlook 2001 Assumptions to the AEO2001 NEMS Conference Contacts Forecast Homepage EIA Homepage AEO Supplement Reference Case Forecast (1999-2020) (HTML) Table 1. Energy Consumption by Source and Sector (New England) Table 2. Energy Consumption by Source and Sector (Middle Atlantic) Table 3. Energy Consumption by Source and Sector (East North Central) Table 4. Energy Consumption by Source and Sector (West North Central) Table 5. Energy Consumption by Source and Sector (South Atlantic) Table 6. Energy Consumption by Source and Sector (East South Central) Table 7. Energy Consumption by Source and Sector (West South Central) Table 8. Energy Consumption by Source and Sector (Mountain)

407

Effectiveness of heating patterns for electrical resistance heating  

E-Print Network [OSTI]

BLOCKS APPENDIX B: COMPUTER CODE, r-z ERH RESERVOIR SIMULATOR 39 41 43 45 50 54 VITA 147 LIST OF TABLES PAGE TABLE I: ACCURACY OF POWER CALCULATION TABLE 2: RESULTS OF PARAMETER STUDY TABLE 3: ELECTRODE DESIGN RESULTS TABLE 4: GENERAL TEST... Model 0. 6 0. 4 Radial Power Model 0. 2 0 1 10 r/rw 100 1000 Figure 6; Comparison of power dissipation profiles for radial power model and r-z power model. 14 The power dissipated as heat in this volume, P(r), is normalized by the total...

Maggard, James Bryan

2012-06-07T23:59:59.000Z

408

FY 2005 Statistical Table  

Broader source: Energy.gov (indexed) [DOE]

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) Table of Contents Summary...................................................................................................... 1 Mandatory Funding....................................................................................... 3 Energy Supply.............................................................................................. 4 Non-Defense site acceleration completion................................................... 6 Uranium enrichment D&D fund.................................................................... 6 Non-Defense environmental services.......................................................... 6 Science.........................................................................................................

409

Building Energy Code for the District of Columbia | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Building Energy Code for the District of Columbia Building Energy Code for the District of Columbia Building Energy Code for the District of Columbia < Back Eligibility Commercial Residential Savings Category Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Program Info State District of Columbia Program Type Building Energy Code Provider District Department of the Environment ''Much of the information presented in this summary is drawn from the U.S. Department of Energy's (DOE) Building Energy Codes Program and the Building Codes Assistance Project (BCAP). For more detailed information about building energy codes, visit the [http://www.energycodes.gov/states/ DOE] and [http://bcap-ocean.org/ BCAP] websites.'' The DC Energy Conservation Code is updated regularly as national codes are

410

Research District Seeing Growth  

SciTech Connect (OSTI)

Monthly economic diversity column for the Tri-City Herald (May 2012) - excerpt follows: It’s been a while since I’ve updated you on the Tri-Cities Research District, most certainly not for lack of new activity over the past several months. In fact, much has happened, and there’s more to come. I think many of us see new land development and construction as indicative of current or impending economic growth. So those of you who have ventured into North Richland either via Stevens Drive or George Washington Way lately have probably begun sensing and anticipating that such growth is afoot.

Madison, Alison L.

2012-05-13T23:59:59.000Z

411

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

The AEO Supplementary tables were generated for the reference case of the The AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2002 (AEO2002) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1999 to 2020. Most of the tables were not published in the AEO2002, but contain regional and other more detailed projections underlying the AEO2002 projections. The files containing these tables are in spreadsheet format. A total of one hundred and seven tables is presented. The data for tables 10 and 20 match those published in AEO2002 Appendix tables A2 and A3, respectively. Forecasts for 2000-2002 may differ slightly from values published in the Short Term Energy Outlook, which are the official EIA short-term forecasts and are based on more current

412

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

Homepage Homepage Supplement Tables to the AEO2001 The AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2001 (AEO2001) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1999 to 2020. Most of the tables were not published in the AEO2001, but contain regional and other more detailed projections underlying the AEO2001 projections. The files containing these tables are in spreadsheet format. A total of ninety-five tables is presented. The data for tables 10 and 20 match those published in AEO2001 Appendix tables A2 and A3, respectively. Forecasts for 1999 and 2000 may differ slightly from values published in the Short Term Energy Outlook, which are the official EIA short-term forecasts and are based on more current information than the AEO.

413

Public Utility District #1 Of Jefferson County  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

1 Of Jefferson County Board of Commissioners July 2,2008 Dana Roberts, District 1 M. Kelly Hays, District 2 Wayne G. King, District 3 Mark Gendron, Vice President Northwest...

414

Modesto Irrigation District - Custom Commercial Energy Efficiency Rebate  

Broader source: Energy.gov (indexed) [DOE]

You are here You are here Home » Modesto Irrigation District - Custom Commercial Energy Efficiency Rebate Program Modesto Irrigation District - Custom Commercial Energy Efficiency Rebate Program < Back Eligibility Agricultural Commercial Industrial Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Maximum Rebate Rebate caps are adjusted according to MID's electric rate schedule they vary from $15,000 - $500,000. Exemptions from rebate caps can be requested. Program Info State California Program Type Utility Rebate Program Rebate Amount Lighting Measures: $250/kW reduced or $.04/kWh reduced Insulation Measures: $250/kW reduced or $.04/kWh reduced

415

California's 42nd congressional district: Energy Resources |...  

Open Energy Info (EERE)

Scheuten Solar USA Inc US South Coast Air Quality Management District SCAQMD Western Ethanol Company LLC Utility Companies in California's 42nd congressional district City of...

416

Montana Association of Conservation Districts Webpage | Open...  

Open Energy Info (EERE)

Districts Webpage Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Montana Association of Conservation Districts Webpage Abstract Homepage of...

417

Steam Power Stations for Electricity and Heat Generation  

Science Journals Connector (OSTI)

Power plants produce electricity, process heat or district heating, according to their task (Stultz and Kitto 1992). Electric power is the only product of a condensation power plant and the main product of a p...

Dr. Hartmut Spliethoff

2010-01-01T23:59:59.000Z

418

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2000 (AEO2000) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1998 to 2020. Most of the tables were not published in the AEO2000, but contain regional and other more detailed projections underlying the AEO2000 projections. The files containing these tables are in spreadsheet format. A total of ninety-six tables are presented. AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2000 (AEO2000) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1998 to 2020. Most of the tables were not published in the AEO2000, but contain regional and other more detailed projections underlying the AEO2000 projections. The files containing these tables are in spreadsheet format. A total of ninety-six tables are presented. The data for tables 10 and 20 match those published in AEO200 Appendix tables A2 and A3, respectively. Forecasts for 1998, and 2000 may differ slightly from values published in the Short Term Energy Outlook, Fourth Quarter 1999 or Short Term Energy Outlook, First Quarter 2000, which are the official EIA short-term forecasts and are based on more current information than the AEO.

419

The Sudbury Mining District  

E-Print Network [OSTI]

for Digital Scholarship. http://kuscholarworks.ku.edu Submitted to the School of Engineering of the University of Kansas in partial fulfillment of the requirements for a course in Mining Engineering ran THE SUDBURY MINING DISTRICT. A D i s s e r t a t i o... n P r e s e n t e d t o the F a c u l t y o f the SCHOOL OP ENGINEERING i n the UNIVERSITY OP KANSAS. F o r the Completion o f a Course i n MINING ENGINEERING. fey Prank G. B e d e l l . June 1906. PREFACE• I n t h i s paper w i l l be g i...

Bedell, Frank G.

1906-06-01T23:59:59.000Z

420

Empire District Electric Co (Oklahoma) | Open Energy Information  

Open Energy Info (EERE)

Oklahoma) Oklahoma) Jump to: navigation, search Name Empire District Electric Co Place Oklahoma Utility Id 5860 References Energy Information Administration.[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png No rate schedules available. Average Rates Residential: $0.0841/kWh Commercial: $0.0804/kWh Industrial: $0.0696/kWh The following table contains monthly sales and revenue data for Empire District Electric Co (Oklahoma). Month RES REV (THOUSAND $) RES SALES (MWH) RES CONS COM REV (THOUSAND $) COM SALES (MWH) COM CONS IND_REV (THOUSAND $) IND SALES (MWH) IND CONS OTH REV (THOUSAND $) OTH SALES (MWH) OTH CONS TOT REV (THOUSAND $) TOT SALES (MWH) TOT CONS

Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Nebraska Public Power District (South Dakota) | Open Energy Information  

Open Energy Info (EERE)

South Dakota) South Dakota) Jump to: navigation, search Name Nebraska Public Power District Place South Dakota Utility Id 13337 References Energy Information Administration.[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png No rate schedules available. Average Rates Residential: $0.0783/kWh Commercial: $0.0637/kWh The following table contains monthly sales and revenue data for Nebraska Public Power District (South Dakota). Month RES REV (THOUSAND $) RES SALES (MWH) RES CONS COM REV (THOUSAND $) COM SALES (MWH) COM CONS IND_REV (THOUSAND $) IND SALES (MWH) IND CONS OTH REV (THOUSAND $) OTH SALES (MWH) OTH CONS TOT REV (THOUSAND $) TOT SALES (MWH) TOT CONS

422

FY 2005 Laboratory Table  

Broader source: Energy.gov (indexed) [DOE]

Congressional Budget Congressional Budget Request Laboratory Tables Preliminary Department of Energy FY 2005 Congressional Budget Request Office of Management, Budget and Evaluation/CFO February 2004 Laboratory Tables Preliminary Department of Energy Department of Energy FY 2005 Congressional Budget FY 2005 Congressional Budget Request Request Office of Management, Budget and Evaluation/CFO February 2004 Laboratory Tables Laboratory Tables Printed with soy ink on recycled paper Preliminary Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. include both the discretionary and mandatory funding in the budget. balances, deferrals, rescissions, or other adjustments appropria ted as offsets to the DOE appropriations by the Congress.

423

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

Supplemental Tables to the Annual Energy Outlook 2005 Supplemental Tables to the Annual Energy Outlook 2005 EIA Glossary Supplemental Tables to the Annual Energy Outlook 2005 Release date: February 2005 Next release date: February 2006 The AEO Supplemental tables were generated for the reference case of the Annual Energy Outlook 2005 (AEO2005) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 2003 to 2025. Most of the tables were not published in the AEO2005, but contain regional and other more detailed projections underlying the AEO2005 projections. The files containing these tables are in spreadsheet format. A total of one hundred and seventeen tables is presented. The data for tables 10 and 20 match those published in AEO2005 Appendix tables A2 and A3, respectively. Forecasts for 2003-2005 may differ slightly from values published in the Short Term Energy Outlook, which are the official EIA short-term forecasts and are based on more current information than the AEO.

424

Danish Energy Authority Final report  

E-Print Network [OSTI]

1 Danish Energy Authority Final report Kaliningrad Regional District Heating Network 2004 - 2006 2006 #12;Kaliningrad District Heating Network Project 2004 - 2006 2 Table of content The report........................................................................................................... 7 1.4.1 District heating in the Region

425

Modular approach for modelling a multi-energy district boiler Julien Eynard, Stphane Grieu1 and Monique Polit  

E-Print Network [OSTI]

Modular approach for modelling a multi-energy district boiler Julien Eynard, Stéphane Grieu1 with the modelling of a district boiler (city of La Rochelle, west coast of France), as part of the OptiEnR research project. This "multi- energy" boiler supplies domestic hot water and heats residential and public

Paris-Sud XI, Université de

426

District Cooling Using Central Tower Power Plant  

Science Journals Connector (OSTI)

Abstract During the operation of solar power towers there are occasions, commonly in the summer season, where some of the heliostats have to stop focusing at the central receiver, located at the top of the tower, because the maximum temperature that the receiver can withstand has been reached. The highest demands of cooling for air conditioning take place at these same occasions. In the present paper, we have analyzed the possibility of focusing the exceeding heliostats to the receiver increasing the mass flow rate of the heat transfer fluid over the nominal value and using the extra heat as a source of an absorption chiller. The chilled water would be used to cool buildings and offices, using a district cooling network. Using the extra heat of the solar power tower plant would greatly reduce the electricity usage. In this work we have analyzed the case of a circular field of heliostats focusing at a circular receiver, such as the case of Gemasolar plant. We have quantified the thermal power that can be obtained from the unused heliostats, the cooling capacity of the absorption system as well as the heat losses through the insulated pipes that distribute the chilled water to the buildings of the network.

C. Marugán-Cruz; S. Sánchez-Delgado; M.R. Rodríguez-Sánchez; M. Venegas

2014-01-01T23:59:59.000Z

427

Microsoft Word - table_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 2. Natural gas production, transmission, and consumption, by state, 2011 (million cubic feet) Alabama 195,581 17,271 -53,277 480,317 0 7,282 0 598,068 Alaska 356,225 21,554 14,450 0 -16,398 0 0 332,723 Arizona 168 0 -17,607 348,820 -42,026 0 0 289,357 Arkansas 1,072,212 268 3,943 -791,878 0 212 0 283,797 California 250,177 12,095 72,353 1,954,947 -91,287 20,598 0 2,153,498 Colorado 1,637,576 90,801 -76,093 -1,005,837 0 3,128 4,268 465,985 Connecticut 0 0 1,253 228,585 0 129 0 229,710 Delaware 0 0 11,756 67,928 0 -31 0 79,716 District of Columbia 0 0 1,961 31,016 0 0 0 32,976 Florida 15,125 0 -5,102 1,208,317 0 0 0 1,218,340 Georgia 0 0 -10,315 459,390 75,641 2,542 701 522,874 Gulf of Mexico 1,812,328 0 -82 -1,711,029 0

428

Microsoft Word - table_26.doc  

Gasoline and Diesel Fuel Update (EIA)

5 5 Table 26. Percent distribution of natural gas supply and disposition by state, 2011 Alabama 0.8 2.5 Alaska 1.5 1.4 Arizona < 1.2 Arkansas 4.7 1.2 California 1.0 8.8 Colorado 6.8 1.9 Connecticut -- 0.9 Delaware -- 0.3 District of Columbia -- 0.1 Florida 0.1 5.0 Georgia -- 2.1 Gulf of Mexico 7.9 0.4 Hawaii -- < Idaho -- 0.3 Illinois < 4.0 Indiana < 2.6 Iowa -- 1.3 Kansas 1.2 1.1 Kentucky 0.5 0.9 Louisiana 12.8 5.7 Maine -- 0.3 Maryland < 0.8 Massachusetts -- 1.8 Michigan 0.6 3.2 Minnesota -- 1.7 Mississippi 0.3 1.8 Missouri -- 1.1 Montana 0.3 0.3 Nebraska < 0.7 Nevada < 1.0 New Hampshire -- 0.3 New Jersey -- 2.7 New Mexico 5.0 1.0 New York 0.1

429

Microsoft Word - table_20.doc  

Gasoline and Diesel Fuel Update (EIA)

8 8 Table 20. Number of natural gas residential consumers by type of service and state, 2011-2012 Alabama R 772,892 0 R 772,892 767,412 0 767,412 Alaska 121,736 0 121,736 122,983 0 122,983 Arizona 1,146,280 6 1,146,286 1,157,682 6 1,157,688 Arkansas 551,795 0 551,795 549,959 0 549,959 California R 10,545,585 R 79,605 10,625,190 10,547,706 134,210 10,681,916 Colorado 1,645,711 5 1,645,716 1,659,803 5 1,659,808 Connecticut 494,065 905 494,970 503,241 897 504,138 Delaware 152,005 0 152,005 153,307 0 153,307 District of Columbia 130,888 14,636 145,524 129,674 16,264 145,938 Florida 664,564 R 14,635 R 679,199 672,160 14,861 687,021 Georgia 321,515 1,418,491 1,740,006 319,179 1,420,364 1,739,543 Hawaii 25,305 0 25,305

430

Microsoft Word - table_20.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 Table 20. Number of Natural Gas Residential Consumers by Type of Service and State, 2009-2010 Alabama ...................... R 785,005 0 R 785,005 768,921 0 768,921 Alaska.......................... 120,124 0 120,124 121,166 0 121,166 Arizona ........................ 1,130,047 0 1,130,047 1,138,448 0 1,138,448 Arkansas...................... 557,355 0 557,355 549,970 0 549,970 California ..................... R 10,454,747 R 56,203 R 10,510,950 10,469,734 72,850 10,542,584 Colorado ...................... 1,622,429 5 1,622,434 1,634,582 5 1,634,587 Connecticut.................. 488,614 735 489,349 489,380 805 490,185 Delaware ..................... 149,006 0 149,006 150,458 0 150,458 District of Columbia...... 129,738 13,698 143,436 130,048 14,103 144,151 Florida.......................... 659,725 14,365

431

Microsoft Word - table_20.doc  

Gasoline and Diesel Fuel Update (EIA)

9 9 Table 20. Number of Natural Gas Commercial Consumers by Type of Service and State, 2008-2009 Alabama ...................... R 65,193 120 R 65,313 67,468 128 67,596 Alaska.......................... 12,267 497 12,764 12,854 363 13,217 Arizona ........................ 57,481 105 57,586 57,022 169 57,191 Arkansas...................... 68,943 201 69,144 68,794 249 69,043 California ..................... 417,531 29,629 447,160 406,270 35,225 441,495 Colorado ...................... 144,543 176 144,719 145,455 169 145,624 Connecticut.................. 50,023 3,880 53,903 50,106 4,404 54,510 Delaware ..................... 12,619 84 12,703 12,726 113 12,839 District of Columbia...... 6,838 3,186 10,024 6,706 3,582 10,288 Florida.......................... 41,164 16,961 58,125 41,748 17,801 59,549

432

Microsoft Word - table_23.doc  

Gasoline and Diesel Fuel Update (EIA)

6 6 Table 23. Average Price of Natural Gas Delivered to Consumers by State and Sector, 2009 (Dollars per Thousand Cubic Feet) Alabama ............................... 18.12 100.0 14.93 78.7 6.48 27.9 19.17 4.30 Alaska................................... 10.23 100.0 9.51 85.3 4.02 72.5 -- W Arizona ................................. 17.65 100.0 12.15 88.0 8.19 29.1 14.96 4.16 Arkansas............................... 13.39 100.0 10.71 59.4 8.47 3.6 -- 4.14 California .............................. 9.43 98.9 7.75 54.9 6.57 4.7 7.61 4.44 Colorado ............................... 8.80 100.0 7.56 94.8 6.57 0.5 9.12 4.27 Connecticut........................... 14.81 97.5 9.92 69.0 8.44 37.5 15.26 4.89 Delaware .............................. 17.79 100.0 15.87 53.5 13.99 2.1 14.12 W District of Columbia...............

433

Microsoft Word - table_19.doc  

Gasoline and Diesel Fuel Update (EIA)

6 6 Table 19. Number of Natural Gas Residential Consumers by Type of Service and State, 2004-2005 Alabama ...................... R 806,660 R 0 R 806,660 799,256 0 799,256 Alaska.......................... 104,360 0 104,360 108,401 0 108,401 Arizona ........................ 993,885 0 993,885 1,042,662 0 1,042,662 Arkansas...................... R 554,844 0 R 554,844 555,861 0 555,861 California ..................... 9,921,331 R 36,081 R 9,957,412 10,092,466 31,967 10,124,433 Colorado ...................... R 1,496,873 3 R 1,496,876 1,524,810 3 1,524,813 Connecticut.................. 468,918 414 469,332 474,807 414 475,221 District of Columbia...... 120,709 17,425 138,134 127,139 13,873 141,012 Delaware ..................... 133,197 0 133,197 137,115 0 137,115 Florida.......................... R 628,104 10,910

434

Microsoft Word - table_20.doc  

Gasoline and Diesel Fuel Update (EIA)

9 9 Table 20. Number of Natural Gas Commercial Consumers by Type of Service and State, 2006-2007 Alabama ...................... R 66,222 115 R 66,337 65,738 118 65,856 Alaska.......................... 12,858 1,526 14,384 12,491 917 13,408 Arizona ........................ 56,955 136 57,091 57,047 122 57,169 Arkansas...................... 69,318 157 69,475 69,319 176 69,495 California ..................... 426,379 15,673 442,052 421,449 24,671 446,120 Colorado ...................... 139,566 180 139,746 141,201 219 141,420 Connecticut.................. 49,056 3,926 52,982 48,522 3,867 52,389 Delaware ..................... 12,288 57 12,345 12,507 69 12,576 District of Columbia...... 7,004 3,406 10,410 6,867 3,048 9,915 Florida.......................... 41,190 14,069 55,259 41,325 15,995 57,320

435

Microsoft Word - table_23.doc  

Gasoline and Diesel Fuel Update (EIA)

4 4 Table 23. Average Price of Natural Gas Delivered to Consumers by State and Sector, 2005 (Dollars per Thousand Cubic Feet) Alabama ............................... 15.82 100.00 13.13 81.65 9.51 23.59 -- 9.67 Alaska................................... 5.73 100.00 4.93 51.19 2.59 68.65 -- 3.42 Arizona ................................. 13.54 100.00 9.85 93.29 8.53 43.63 7.91 8.24 Arkansas............................... 13.65 100.00 10.20 74.07 9.44 5.23 10.16 8.59 California .............................. 11.86 99.66 10.69 68.67 9.84 5.46 8.80 8.09 Colorado ............................... 10.29 99.99 9.39 95.15 8.68 0.59 8.17 7.41 Connecticut........................... 16.24 98.75 13.00 70.34 11.68 46.41 14.60 9.31 District of Columbia............... 16.87 79.76 13.17 100.00 --

436

Groundwater Conservation Districts: Success Stories  

E-Print Network [OSTI]

Demand for water is increasing, so our aquifers must be conserved and protected. The Groundwater Conservation Districts in Texas are carrying out a number of successful programs in the areas of education and public awareness, technical assistance...

Porter, Dana; Persyn, Russell A.; Enciso, Juan

1999-09-06T23:59:59.000Z

437

Louisiana Block Grant Tables | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Louisiana Block Grant Tables Louisiana Block Grant Tables This table details funding for state, city, and county governments in the state of Louisiana. Louisiana Block Grant Tables...

438

Mississippi Block Grant Tables | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Mississippi Block Grant Tables Mississippi Block Grant Tables A table describing where state funding is being distributed Mississippi Block Grant Tables More Documents &...

439

2003 CBECS RSE Tables  

Gasoline and Diesel Fuel Update (EIA)

cbecs/cbecs2003/detailed_tables_2003/2003rsetables_files/plainlink.css" cbecs/cbecs2003/detailed_tables_2003/2003rsetables_files/plainlink.css" type=text/css rel=stylesheet> Home > Households, Buildings & Industry > Commercial Buildings Energy Consumption Survey (CBECS) > 2003 Detailed Tables > RSE Tables 2003 CBECS Relative Standard Error (RSE) Tables Released: Dec 2006 Next CBECS will be conducted in 2007 Standard error is a measure of the reliability or precision of the survey statistic. The value for the standard error can be used to construct confidence intervals and to perform hypothesis tests by standard statistical methods. Relative Standard Error (RSE) is defined as the standard error (square root of the variance) of a survey estimate, divided by the survey estimate and multiplied by 100. (More information on RSEs)

440

Heat transfer and film cooling with steam injection  

E-Print Network [OSTI]

for both coolants was determined for similar blowing rates and was used as a basis for comparisons. Heat transfer coefficients were calcula- ted from the experimental data using a transient analysis. DEDICATION To my wife and family. ACKNOWLEDGEMENTS... LIST OF TABLES PAGE TABLE 1 Variation in the Blowing Rate ------------ 55 TABLE 2 TABLE 3 Typical Air Film Cooling Effectiveness Data Typical Steam Film Cooling Effectiveness Data 62 62 1X LIST OF FIGURES PAGE Figure 1 Comparison of Heat...

Conklin, Gary Eugene

1982-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Geothermal Heat Pump System for the New 500-bed 200,000 SF Student...  

Broader source: Energy.gov (indexed) [DOE]

Documents & Publications Oak Ridge City Center Technology Demonstration Project BSU GHP District Heating and Cooling System (Phase I) City of Eagan Civic Ice Arena Renovation...

442

Slovak Centre of Biomass Use for Energy Wood Fired Heating Plant in Slovakia  

E-Print Network [OSTI]

brown-coal fired boilers with low efficiency. The special furnace design ensures that woody biofuel authorities CHP Planning issues Transport companies District Heating Sustainable communities Utilities Solar

443

PAD District III Stocks  

Gasoline and Diesel Fuel Update (EIA)

4 4 Notes: PADD 3 (the Gulf Coast) inventories, at the end of July, stood at 33.5 million barrels and are well above the normal range for this time of year. Since we have a few months more to go until the beginning of the heating season, there is still time for the plentiful stocks in the Gulf Coast to find their way up into the Midwest. Thus, even though propane stocks in the Midwest are low, this could easily not be the case by the beginning of the heating season. One slight area of concern, however, is that the Texas Eastern Pipeline (TET) is experiencing brine problems due to heavy rains and record stock builds. To help alleviate the problem, some chemical companies are shifting their propane out of TET to other storage facilities. At this time we don't feel that this will negatively affect the propane market this

444

CBECS Buildings Characteristics --Revised Tables  

U.S. Energy Information Administration (EIA) Indexed Site

Buildings Use Tables Buildings Use Tables (24 pages, 129 kb) CONTENTS PAGES Table 12. Employment Size Category, Number of Buildings, 1995 Table 13. Employment Size Category, Floorspace, 1995 Table 14. Weekly Operating Hours, Number of Buildings, 1995 Table 15. Weekly Operating Hours, Floorspace, 1995 Table 16. Occupancy of Nongovernment-Owned and Government-Owned Buildings, Number of Buildings, 1995 Table 17. Occupancy of Nongovernment-Owned and Government-Owned Buildings, Floorspace, 1995 These data are from the 1995 Commercial Buildings Energy Consumption Survey (CBECS), a national probability sample survey of commercial buildings sponsored by the Energy Information Administration, that provides information on the use of energy in commercial buildings in the

445

ARM - Instrument Location Table  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

govInstrumentsLocation Table govInstrumentsLocation Table Instruments Location Table Contacts Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument Locations Site abbreviations explained in the key. Instrument Name Abbreviation NSA SGP TWP AMF C1 C2 EF BF CF EF IF C1 C2 C3 EF IF Aerosol Chemical Speciation Monitor ACSM Atmospheric Emitted Radiance Interferometer AERI Aethalometer AETH Ameriflux Measurement Component AMC Aerosol Observing System AOS Meteorological Measurements associated with the Aerosol Observing System AOSMET Broadband Radiometer Station BRS

446

Table 41. No. 2 Diesel Fuel Prices by Sulfur Content, Sales...  

Gasoline and Diesel Fuel Update (EIA)

80.8 75.7 76.2 67.5 71.8 77.4 83.7 75.0 64.4 See footnotes at end of table. 41. No. 2 Diesel Fuel Prices by Sulfur Content, Sales Type, and PAD District 242 Energy Information...

447

Table 41. No. 2 Diesel Fuel Prices by Sulfur Content, Sales...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

74.4 73.3 70.4 60.5 69.0 71.9 77.8 71.0 60.5 See footnotes at end of table. 41. No. 2 Diesel Fuel Prices by Sulfur Content, Sales Type, and PAD District 242 Energy Information...

448

Drainage, Sanitation, and Public Facilities Districts (Virginia) |  

Broader source: Energy.gov (indexed) [DOE]

Drainage, Sanitation, and Public Facilities Districts (Virginia) Drainage, Sanitation, and Public Facilities Districts (Virginia) Drainage, Sanitation, and Public Facilities Districts (Virginia) < Back Eligibility Agricultural Commercial Construction Developer Industrial Investor-Owned Utility Local Government Municipal/Public Utility Rural Electric Cooperative Systems Integrator Tribal Government Utility Savings Category Water Buying & Making Electricity Home Weatherization Program Info State Virginia Program Type Siting and Permitting Provider Local Governments and Districts This legislation provides for the establishment of sanitary, sanitation, drainage, and public facilities districts in Virginia. Designated districts are public bodies, and have the authority to regulate the construction and development of sanitation and waste disposal projects in their

449

FY 2009 State Table  

Broader source: Energy.gov (indexed) [DOE]

State Tables State Tables Preliminary February 2008 Office of Chief Financial Officer Department of Energy FY 2009 Congressional Budget Request State Tables Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Printed with soy ink on recycled paper State Index Page Number FY 2009 Congressional Budget 1/30/2008 Department Of Energy (Dollars In Thousands) 9:01:45AM Page 1 of 2 FY 2007 Appropriation FY 2008 Appropriation FY 2009 Request State Table 1 1 $27,588

450

FY 2005 State Table  

Broader source: Energy.gov (indexed) [DOE]

Office of Management, Budget Office of Management, Budget and Evaluation/CFO February 2004 State Tables State Tables Preliminary Preliminary Department of Energy Department of Energy FY 2005 Congressional Budget FY 2005 Congressional Budget Request Request Office of Management, Budget and Evaluation/CFO February 2004 State Tables State Tables Printed with soy ink on recycled paper Preliminary Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. State Index Page Number

451

FY 2010 State Table  

Broader source: Energy.gov (indexed) [DOE]

State Tables State Tables Preliminary May 2009 Office of Chief Financial Officer FY 2010 Congressional Budget Request State Tables Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Printed with soy ink on recycled paper State Index Page Number FY 2010 Congressional Budget 5/4/2009 Department Of Energy (Dollars In Thousands) 2:13:22PM Page 1 of 2 FY 2008 Appropriation FY 2009 Appropriation FY 2010 Request State Table 1 1 $46,946 $48,781 $38,844 Alabama 2 $6,569

452

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook 1999 Annual Energy Outlook 1999 bullet1.gif (843 bytes) Assumptions to the AEO99 bullet1.gif (843 bytes) NEMS Conference bullet1.gif (843 bytes) Contacts bullet1.gif (843 bytes) To Forecasting Home Page bullet1.gif (843 bytes) EIA Homepage supplemental.gif (7420 bytes) (Errata as of 9/13/99) The AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 1999 (AEO99) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1997 to 2020. Most of the tables were not published in the AEO99, but contain regional and other more detailed projections underlying the AEO99 projections. The files containing these tables are in spreadsheet format. A total of ninety-five tables are presented.

453

FY 2006 State Table  

Broader source: Energy.gov (indexed) [DOE]

State Tables State Tables Preliminary Department of Energy FY 2006 Congressional Budget Request Office of Management, Budget and Evaluation/CFO February 2005 State Tables Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. State Index Page Number FY 2006 Congressional Budget 1/27/2005 Department Of Energy (Dollars In Thousands) 3:32:58PM Page 1 of 2 FY 2004 Comp/Approp FY 2005 Comp/Approp FY 2006 Request State Table

454

FY 2010 Laboratory Table  

Broader source: Energy.gov (indexed) [DOE]

Laboratory Tables Laboratory Tables Preliminary May 2009 Office of Chief Financial Officer FY 2010 Congressional Budget Request Laboratory Tables Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Printed with soy ink on recycled paper Laboratory / Facility Index FY 2010 Congressional Budget Page 1 of 3 (Dollars In Thousands) 2:08:56PM Department Of Energy 5/4/2009 Page Number FY 2008 Appropriation FY 2009 Appropriation FY 2010 Request Laboratory Table 1 1 $1,200

455

Table of Contents  

Broader source: Energy.gov (indexed) [DOE]

E N N E E R R A A L L Semiannual Report toCongress DOEIG-0065 April 1 - September 30, 2013 TABLE OF CONTENTS From the Desk of the Inspector General ......

456

FY 2008 State Table  

Broader source: Energy.gov (indexed) [DOE]

State Table State Table Preliminary Department of Energy FY 2008 Congressional Budget Request February 2007 Office of Chief Financial Officer State Table Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. State Index Page Number FY 2008 Congressional Budget 2/1/2007 Department Of Energy (Dollars In Thousands) 6:53:08AM Page 1 of 2 FY 2006 Appropriation FY 2007 Request FY 2008 Request State Table 1 1 $28,332 $30,341

457

Tables of thermodynamic properties of sodium  

SciTech Connect (OSTI)

The thermodynamic properties of saturated sodium, superheated sodium, and subcooled sodium are tabulated as a function of temperature. The temperature ranges are 380 to 2508 K for saturated sodium, 500 to 2500 K for subcooled sodium, and 400 to 1600 K for superheated sodium. Tabulated thermodynamic properties are enthalpy, heat capacity, pressure, entropy, density, instantaneous thermal expansion coefficient, compressibility, and thermal pressure coefficient. Tables are given in SI units and cgs units.

Fink, J.K.

1982-06-01T23:59:59.000Z

458

Empire District Electric Co (Kansas) | Open Energy Information  

Open Energy Info (EERE)

Empire District Electric Co Empire District Electric Co Place Kansas Utility Id 5860 References Energy Information Administration.[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png No rate schedules available. Average Rates Residential: $0.0967/kWh Commercial: $0.1040/kWh Industrial: $0.0743/kWh The following table contains monthly sales and revenue data for Empire District Electric Co (Kansas). Month RES REV (THOUSAND $) RES SALES (MWH) RES CONS COM REV (THOUSAND $) COM SALES (MWH) COM CONS IND_REV (THOUSAND $) IND SALES (MWH) IND CONS OTH REV (THOUSAND $) OTH SALES (MWH) OTH CONS TOT REV (THOUSAND $) TOT SALES (MWH) TOT CONS 2009-03 766.958 8,132.05 8,688 437.806 4,470.832 1,413 386.225 5,336.492 51 1,590.989 17,939.374 10,152

459

Microsoft Word - table_A1.doc  

Gasoline and Diesel Fuel Update (EIA)

78 78 Table A1. Natural Gas Losses and Unaccounted for by State, 2010 (Volumes in Million Cubic Feet) Alabama .................................. 946 914 531,243 0.4 Alaska...................................... 534 5,228 333,316 1.7 Arizona .................................... 787 -124 331,257 0.2 Arkansas.................................. 666 4,170 271,512 1.8 California ................................. 4,217 31,286 2,273,958 1.6 Colorado .................................. 831 1,599 501,438 0.5 Connecticut.............................. 1,595 -1,192 199,440 0.2 Delaware ................................. 113 887 54,825 1.8 District of Columbia.................. 67 1,329 33,302 4.2 Florida...................................... 11,007 2,365 1,158,522 1.2 Georgia....................................

460

Microsoft Word - NGAMaster_State_TablesNov12.doc  

Gasoline and Diesel Fuel Update (EIA)

3 165 3 165 Appendix B Metric and Thermal Conversion Tables Metric Conversions Table B1 presents Summary Statistics for Natural Gas in the United States for 1999 through 2003 in metric units of measure. Volumes are shown in cubic meters instead of cubic feet. Prices are shown in dollars per thousand cubic meters instead of dollars per thousand cubic feet. The data in this table have been converted from the data that appear in Table 1 of this report. Thermal Conversions Table B2 presents the thermal (Btu) conversion factors and the converted data for natural gas supply and disposition from 1999 through 2003. A brief documentation for the thermal conversion factors follows: * Marketed Production. The conversion factor is calculated by adding the total heat content of dry

Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

1991 Tables and Spreadsheets and Answers to Frequently Asked MECS Questions  

U.S. Energy Information Administration (EIA) Indexed Site

Tables and Spreadsheets Tables and Spreadsheets 1991 Tables and Spreadsheets Answers to Frequently Asked MECS Questions ( All tables are accessible in PDF and/or Lotus Format) Energy Consumption Q: In 1991, how much energy did manufactures consume for fuel or non-fuel purposes? A: If you would like to review national and regional statistics by SIC in physical units, please click Table A1 (part 1); for common units, please click Table A1 (part 2); and for review by manufacturing economic characteristics, such as employment and value of shipments, please click onTable A9; Table A30 or Table A33. mecs01a.xls (Table A1, Part 1) mecs01b.xls (Table A1, Part 2) mecs09.xls (Table A9) mecs30.xls (Table A30) mecs33.xls (Table A33) Q: In 1991, how much energy did manufactures consume for fuel purposes (i.e., to produce heat, power, and generate electricity)?

462

Evaluating Water Transfers in Irrigation Districts  

E-Print Network [OSTI]

The participation of irrigation districts (IDs) in surface water transfers from agriculture-to-municipal uses is studied by examining IDs’ economic and political behavior, comparing their performance with non-districts (non-IDs), and analyzing...

Ghimire, Narishwar

2013-04-11T23:59:59.000Z

463

Microsoft Word - table_18.doc  

Gasoline and Diesel Fuel Update (EIA)

5 5 Table 18. Natural gas delivered to commercial consumers for the account of others by state, 2008-2012 (volumes in million cubic feet) Alabama 4,999 19.8 5,160 21.2 5,494 20.3 5,313 21.1 5,126 23.8 Alaska 4,274 25.1 2,448 14.7 1,951 12.3 2,208 R 11.4 1,005 5.1 Arizona 2,258 6.9 3,866 12.0 3,605 11.3 3,988 12.2 4,213 13.4 Arkansas 13,112 35.5 14,776 40.6 17,862 44.4 19,402 48.5 24,772 59.8 California 108,738 43.3 111,702 45.1 113,903 45.9 R 112,448 45.7 126,571 50.0 Colorado 3,132 4.8 3,240 5.2 3,118 5.4 3,457 6.2 4,061 7.8 Connecticut 11,032 29.3 12,324 31.0 14,068 34.6 15,519 34.6 14,774 34.9 Delaware 2,611 29.4 5,438 46.5 6,117 50.2 4,879 46.6 5,647 56.3 District of Columbia 15,110 82.1 15,550 83.1 15,507 83.6 14,029

464

Microsoft Word - table_18.doc  

Gasoline and Diesel Fuel Update (EIA)

5 5 Table 18. Natural gas delivered to commercial consumers for the account of others by state, 2007-2011 (volumes in million cubic feet) Alabama 4,722 20.2 4,999 19.8 5,160 21.2 5,494 R 20.3 5,313 21.1 Alaska 4,499 24.0 4,274 25.1 2,448 14.7 1,951 12.3 2,208 13.3 Arizona 2,172 6.6 2,258 6.9 3,866 12.0 3,605 11.3 3,988 12.2 Arkansas 9,534 29.6 13,112 35.5 14,776 40.6 17,862 44.4 19,402 48.5 California 98,776 39.3 108,738 43.3 111,702 45.1 113,903 45.9 112,561 45.7 Colorado 2,721 4.3 3,132 4.8 3,240 5.2 R 3,118 5.4 3,457 6.2 Connecticut 10,252 28.5 11,032 29.3 12,324 31.0 14,068 34.6 15,519 34.6 Delaware 2,178 25.2 2,611 29.4 5,438 46.5 6,117 50.2 4,879 46.6 District of Columbia 15,703 81.4 15,110 82.1 15,550 83.1 15,507 83.6 14,029

465

Microsoft Word - table_24.doc  

Gasoline and Diesel Fuel Update (EIA)

7 7 Table 24. Average price of natural gas delivered to consumers by state and sector, 2011 (dollars per thousand cubic feet) Alabama 15.09 100.0 12.37 78.9 5.56 23.4 11.45 4.36 Alaska 8.77 100.0 8.77 86.7 3.84 60.8 -- 5.04 Arizona 15.04 100.0 9.99 87.8 6.86 24.2 7.73 5.02 Arkansas 11.46 100.0 8.90 51.5 7.44 2.1 -- 4.73 California 9.93 98.3 8.28 54.3 7.04 4.5 7.32 4.71 Colorado 8.25 100.0 7.84 93.8 6.42 7.6 9.56 4.97 Connecticut 13.83 96.8 8.48 65.4 9.16 31.4 18.59 5.09 Delaware 15.38 100.0 13.58 53.4 11.69 1.6 28.76 W District of Columbia 13.06 75.0 12.24 16.9 -- -- 4.17 -- Florida 18.16 98.1 11.11 39.8 8.07 3.0 4.93 5.86 Georgia 15.72 100.0 10.51 100.0 5.90 18.2 5.57 4.72 Hawaii 55.28 100.0 45.58

466

Microsoft Word - table_24.doc  

U.S. Energy Information Administration (EIA) Indexed Site

7 7 Table 24. Average price of natural gas delivered to consumers by state and sector, 2012 (dollars per thousand cubic feet) Alabama 16.20 100.0 12.55 76.2 4.35 22.1 17.99 3.09 Alaska 8.47 100.0 8.09 94.9 5.11 100.0 -- 4.32 Arizona 15.75 100.0 9.35 86.6 5.78 21.4 13.19 3.51 Arkansas 11.82 100.0 7.99 40.2 6.38 1.9 9.04 3.19 California 9.14 97.5 7.05 50.0 5.77 4.2 7.01 3.68 Colorado 8.31 100.0 7.58 92.2 5.79 6.8 11.65 W Connecticut 14.17 96.7 8.40 65.1 8.83 32.3 13.70 3.99 Delaware 15.24 100.0 13.31 43.7 11.61 0.3 30.97 -- District of Columbia 12.10 73.9 11.19 17.9 -- -- 9.38 -- Florida 18.31 97.7 10.41 37.0 6.96 2.7 9.83 4.80 Georgia 16.23 100.0 9.74 100.0 4.60 20.0 14.51 3.40 Hawaii 52.86 100.0 47.03

467

Vacant District Chair Positions (as of 1/28/2014)  

E-Print Network [OSTI]

) District 83 ­ Kings County (Visalia) District 84 ­ Tulare County (Porterville) REGION 12: INLAND EMPIRE: NORTHERN CALIFORNIA District 10/11 ­ Siskiyou County, Humboldt & Eureka Counties District 13 ­ Modoc, Lassen, Plumas Counties District 15 ­ Yuba & Sutter Counties District 16 ­ Tri-County Area (includes Red

Cohen, Ronald C.

468

Downtown district cooling: A 21st century approach  

SciTech Connect (OSTI)

On December 1, 1992, the Board of Directors of the Metropolitan Pier and Exposition Authority (MPEA) met on Chicago`s historic Navy Pier and ushered in a new era of competition for energy supply in Chicago. The MPEA, a state agency created for the purposes of promoting and operating fair and exposition facilities within the Chicago area (including the McCormick Place exposition center and Navy Pier), voted to accept a third-party proposal to provide district heating and cooling services to the existing McCormick Place facilities and a million square feet of new exposition space. The winning bidder was a joint venture between Trigen Energy, the nation`s largest provider of district energy services, and Peoples Gas, the gas distribution company which serves Chicago. This vote culminated two years of effort by the Energy Division of Chicago`s Department of Environment to analyze the feasibility and promote the implementation of a district energy system to serve the expanded McCormick Place and its environs in the South Loop neighborhood. Initial services began in November, 1993, with a new hot and cold water piping system interconnecting the three existing exhibition facilities. The final buildout of the system, with a combined peak demand predicted at 160 MMBtu of heating and 15,920 tons of and cooling, is scheduled for completion in the summer of 1997.

NONE

1995-12-01T23:59:59.000Z

469

FY 2011 State Table  

Broader source: Energy.gov (indexed) [DOE]

State Tables State Tables Department of Energy FY 2011 Congressional Budget Request DOE/CF-0054 March 2010 Office of Chief Financial Officer State Tables Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Department of Energy FY 2011 Congressional Budget Request DOE/CF-0054 State Index Page Number FY 2011 Congressional Budget 1/29/2010 Department Of Energy (Dollars In Thousands) 6:34:40AM Page 1 of 2 FY 2009 Appropriation

470

FY 2007 Laboratory Table  

Broader source: Energy.gov (indexed) [DOE]

Laboratory tables Laboratory tables preliminary Department of Energy FY 2007 Congressional Budget Request February 2006 Printed with soy ink on recycled paper Office of Chief Financial Officer Laboratory tables preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Laboratory / Facility Index FY 2007 Congressional Budget Page 1 of 3 (Dollars In Thousands) 12:10:40PM Department Of Energy 1/31/2006 Page Number FY 2005 Appropriation FY 2006 Appropriation FY 2007

471

FY 2011 Laboratory Table  

Broader source: Energy.gov (indexed) [DOE]

Laboratory Tables Laboratory Tables Department of Energy FY 2011 Congressional Budget Request DOE/CF-0055 March 2010 Office of Chief Financial Officer Laboratory Tables Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Department of Energy FY 2011 Congressional Budget Request DOE/CF-0055 Laboratory / Facility Index FY 2011 Congressional Budget Page 1 of 3 (Dollars In Thousands) 6:24:57AM Department Of Energy 1/29/2010 Page

472

FY 2008 Laboratory Table  

Broader source: Energy.gov (indexed) [DOE]

Laboratory Table Laboratory Table Preliminary Department of Energy FY 2008 Congressional Budget Request February 2007 Office of Chief Financial Officer Laboratory Table Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Laboratory / Facility Index FY 2008 Congressional Budget Page 1 of 3 (Dollars In Thousands) 6:51:02AM Department Of Energy 2/1/2007 Page Number FY 2006 Appropriation FY 2007 Request FY 2008 Request

473

FY 2006 Laboratory Table  

Broader source: Energy.gov (indexed) [DOE]

Laboratory Tables Laboratory Tables Preliminary Department of Energy FY 2006 Congressional Budget Request Office of Management, Budget and Evaluation/CFO February 2005 Laboratory Tables Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Laboratory / Facility Index FY 2006 Congressional Budget Page 1 of 3 (Dollars In Thousands) 3:43:16PM Department Of Energy 1/27/2005 Page Number FY 2004 Comp/Approp FY 2005 Comp/Approp

474

Fy 2009 Laboratory Table  

Broader source: Energy.gov (indexed) [DOE]

Laboratory Tables Laboratory Tables Preliminary February 2008 Office of Chief Financial Officer Department of Energy FY 2009 Congressional Budget Request Laboratory Tables Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Printed with soy ink on recycled paper Laboratory / Facility Index FY 2009 Congressional Budget Page 1 of 3 (Dollars In Thousands) 8:59:25AM Department Of Energy 1/30/2008 Page Number FY 2007 Appropriation FY 2008 Appropriation FY 2009

475

FY 2013 Statistical Table  

Broader source: Energy.gov (indexed) [DOE]

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2011 FY 2012 FY 2013 Current Enacted Congressional Approp. Approp. * Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy........................................ 1,771,721 1,809,638 2,337,000 +527,362 +29.1% Electricity delivery and energy reliability......................................... 138,170 139,103 143,015 +3,912 +2.8% Nuclear energy................................................................................ 717,817 765,391 770,445 +5,054 +0.7% Fossil energy programs Clean coal technology.................................................................. -16,500 -- --

476

FY 2009 Statistical Table  

Broader source: Energy.gov (indexed) [DOE]

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2007 FY 2008 FY 2009 Current Current Congressional Op. Plan Approp. Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy.......................... -- 1,722,407 1,255,393 -467,014 -27.1% Electricity delivery and energy reliability........................... -- 138,556 134,000 -4,556 -3.3% Nuclear energy................................................................. -- 961,665 853,644 -108,021 -11.2% Legacy management........................................................ -- 33,872 -- -33,872 -100.0% Energy supply and conservation Operation and maintenance..........................................

477

Economic Improvement Districts (Indiana) | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Improvement Districts (Indiana) Improvement Districts (Indiana) Economic Improvement Districts (Indiana) < Back Eligibility Agricultural Commercial Construction Fuel Distributor Industrial Installer/Contractor Investor-Owned Utility Local Government Municipal/Public Utility Retail Supplier Rural Electric Cooperative State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Indiana Program Type Bond Program Industry Recruitment/Support Provider Indiana Economic Development Corporation A legislative body may adopt an ordinance establishing an economic improvement district and an Economic Improvement Board to manage development in a respective district. The Board can choose to issue revenue

478

Successful Application of Heat Pumps to a DHC System in the Tokyo Bay Area  

E-Print Network [OSTI]

The Harumi-Island District Heating & Cooling (DHC), which is located in the Tokyo Bay area, introduced the heat pump and thermal storage system with the aim of achieving minimum energy consumption, minimum environmental load, and maximum economical...

Yanagihara, R.; Okagaki, A.

2006-01-01T23:59:59.000Z

479

District of Columbia County, District of Columbia: Energy Resources | Open  

Open Energy Info (EERE)

Columbia County, District of Columbia: Energy Resources Columbia County, District of Columbia: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 38.9059849°, -77.0334179° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.9059849,"lon":-77.0334179,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

480

b33.pdf  

Gasoline and Diesel Fuel Update (EIA)

1999 Commercial Buildings Energy Consumption Survey: Building Characteristics Tables 104 Heat Pumps Furnaces Individual Space Heaters District Heat Boilers Packaged Heating Units...

Note: This page contains sample records for the topic "district heat table" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Table of Contents Page i Table of Contents  

E-Print Network [OSTI]

Table of Contents Page i Table of Contents 4. Building HVAC Requirements ....................................................................................1 4.1.2 What's New for the 2013 Standards.............................................................................................3 4.1.4 California Appliance Standards and Equipment Certification

482

BLM Winnemucca District Office | Open Energy Information  

Open Energy Info (EERE)

BLM Winnemucca District Office BLM Winnemucca District Office Jump to: navigation, search Name BLM Winnemucca District Office Short Name Winnemucca Parent Organization BLM Nevada State Office Address 5100 E. Winnemucca Blvd. Place Winnemucca, Nevada Zip 89445 Phone number 775-623-1500 Website http://www.blm.gov/nv/st/en/fo References Winnemucca District Office website[1] Divisions Place BLM Humboldt River Field Office Winnemucca, Nevada This article is a stub. You can help OpenEI by expanding it. BLM Winnemucca District Office is an organization based in Winnemucca, Nevada. References ↑ "Winnemucca District Office website" Retrieved from "http://en.openei.org/w/index.php?title=BLM_Winnemucca_District_Office&oldid=640908" Categories: Government Agencies Stubs

483

Central Oregon Irrigation District | Open Energy Information  

Open Energy Info (EERE)

Oregon Irrigation District Oregon Irrigation District Jump to: navigation, search Name Central Oregon Irrigation District Place Redmond, Oregon Zip 97756 Sector Hydro Product Corporation of the State of Oregon that provides municipal, industrial, and agricultural water, as well as hydropower, for central Oregon. References Central Oregon Irrigation District[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Central Oregon Irrigation District is a company located in Redmond, Oregon . References ↑ "Central Oregon Irrigation District" Retrieved from "http://en.openei.org/w/index.php?title=Central_Oregon_Irrigation_District&oldid=343383" Categories: Clean Energy Organizations

484

Kenston School District | Open Energy Information  

Open Energy Info (EERE)

Kenston School District Kenston School District Jump to: navigation, search Name Kenston School District Facility Kenston School District Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Kenston School District Developer Kenston School District Energy Purchaser Kenston School District Location Chagrin Falls OH Coordinates 41.39386574°, -81.30529761° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.39386574,"lon":-81.30529761,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

485

North Carolina's 4th congressional district: Energy Resources | Open Energy  

Open Energy Info (EERE)

4th congressional district 4th congressional district 2 Registered Research Institutions in North Carolina's 4th congressional district 3 Registered Policy Organizations in North Carolina's 4th congressional district 4 Registered Energy Companies in North Carolina's 4th congressional district 5 Registered Financial Organizations in North Carolina's 4th congressional district US Recovery Act Smart Grid Projects in North Carolina's 4th congressional district Progress Energy Service Company, LLC Smart Grid Project Registered Research Institutions in North Carolina's 4th congressional district N.C. Solar Center Registered Policy Organizations in North Carolina's 4th congressional district NC Sustainable Energy Association Registered Energy Companies in North Carolina's 4th congressional district

486

Oregon's 5th congressional district: Energy Resources | Open Energy  

Open Energy Info (EERE)

Oregon. Oregon. Contents 1 US Recovery Act Smart Grid Projects in Oregon's 5th congressional district 2 Registered Research Institutions in Oregon's 5th congressional district 3 Registered Policy Organizations in Oregon's 5th congressional district 4 Registered Energy Companies in Oregon's 5th congressional district 5 Registered Financial Organizations in Oregon's 5th congressional district 6 Utility Companies in Oregon's 5th congressional district US Recovery Act Smart Grid Projects in Oregon's 5th congressional district Central Lincoln People's Utility District Smart Grid Project Pacific Northwest Generating Cooperative Smart Grid Project Registered Research Institutions in Oregon's 5th congressional district Clean Edge Inc Registered Policy Organizations in Oregon's 5th congressional district

487

California's 46th congressional district: Energy Resources | Open Energy  

Open Energy Info (EERE)

th congressional district th congressional district 2 Registered Research Institutions in California's 46th congressional district 3 Registered Policy Organizations in California's 46th congressional district 4 Registered Energy Companies in California's 46th congressional district 5 Registered Financial Organizations in California's 46th congressional district US Recovery Act Smart Grid Projects in California's 46th congressional district Los Angeles Department of Water and Power Smart Grid Demonstration Project Registered Research Institutions in California's 46th congressional district University of Southern California-Energy Institute Registered Policy Organizations in California's 46th congressional district Clean Tech Los Angeles Registered Energy Companies in California's 46th congressional district

488

California's 31st congressional district: Energy Resources | Open Energy  

Open Energy Info (EERE)

1st congressional district 1st congressional district 2 Registered Research Institutions in California's 31st congressional district 3 Registered Policy Organizations in California's 31st congressional district 4 Registered Energy Companies in California's 31st congressional district 5 Registered Financial Organizations in California's 31st congressional district US Recovery Act Smart Grid Projects in California's 31st congressional district Los Angeles Department of Water and Power Smart Grid Demonstration Project Registered Research Institutions in California's 31st congressional district University of Southern California-Energy Institute Registered Policy Organizations in California's 31st congressional district Clean Tech Los Angeles Registered Energy Companies in California's 31st congressional district

489

California's 35th congressional district: Energy Resources | Open Energy  

Open Energy Info (EERE)

th congressional district th congressional district 2 Registered Research Institutions in California's 35th congressional district 3 Registered Policy Organizations in California's 35th congressional district 4 Registered Energy Companies in California's 35th congressional district 5 Registered Financial Organizations in California's 35th congressional district US Recovery Act Smart Grid Projects in California's 35th congressional district Los Angeles Department of Water and Power Smart Grid Demonstration Project Registered Research Institutions in California's 35th congressional district University of Southern California-Energy Institute Registered Policy Organizations in California's 35th congressional district Clean Tech Los Angeles Registered Energy Companies in California's 35th congressional district

490

California's 36th congressional district: Energy Resources | Open Energy  

Open Energy Info (EERE)

th congressional district th congressional district 2 Registered Research Institutions in California's 36th congressional district 3 Registered Policy Organizations in California's 36th congressional district 4 Registered Energy Companies in California's 36th congressional district 5 Registered Financial Organizations in California's 36th congressional district US Recovery Act Smart Grid Projects in California's 36th congressional district Los Angeles Department of Water and Power Smart Grid Demonstration Project Registered Research Institutions in California's 36th congressional district University of Southern California-Energy Institute Registered Policy Organizations in California's 36th congressional district Clean Tech Los Angeles Registered Energy Companies in California's 36th congressional district

491

California's 15th congressional district: Energy Resources | Open Energy  

Open Energy Info (EERE)

5th congressional district 5th congressional district 2 Registered Networking Organizations in California's 15th congressional district 3 Registered Policy Organizations in California's 15th congressional district 4 Registered Energy Companies in California's 15th congressional district 5 Registered Financial Organizations in California's 15th congressional district Registered Research Institutions in California's 15th congressional district Environmental Business Cluster Registered Networking Organizations in California's 15th congressional district MetaMatrix Groupe Registered Policy Organizations in California's 15th congressional district Silicon Valley Clean Tech Alliance Solar San Jose Registered Energy Companies in California's 15th congressional district AE Biofuels Inc formerly American Ethanol Inc

492

California's 25th congressional district: Energy Resources | Open Energy  

Open Energy Info (EERE)

th congressional district th congressional district 2 Registered Research Institutions in California's 25th congressional district 3 Registered Policy Organizations in California's 25th congressional district 4 Registered Energy Companies in California's 25th congressional district 5 Registered Financial Organizations in California's 25th congressional district 6 Energy Generation Facilities in California's 25th congressional district US Recovery Act Smart Grid Projects in California's 25th congressional district Los Angeles Department of Water and Power Smart Grid Demonstration Project Registered Research Institutions in California's 25th congressional district University of Southern California-Energy Institute Registered Policy Organizations in California's 25th congressional district

493

California's 39th congressional district: Energy Resources | Open Energy  

Open Energy Info (EERE)

th congressional district th congressional district 2 Registered Research Institutions in California's 39th congressional district 3 Registered Policy Organizations in California's 39th congressional district 4 Registered Energy Companies in California's 39th congressional district 5 Registered Financial Organizations in California's 39th congressional district US Recovery Act Smart Grid Projects in California's 39th congressional district Los Angeles Department of Wate