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Note: This page contains sample records for the topic "reference building models" 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

U.S. Department of Energy Commercial Reference Building Models of the National Building Stock  

NLE Websites -- All DOE Office Websites (Extended Search)

Department of Energy Department of Energy Commercial Reference Building Models of the National Building Stock Michael Deru, Kristin Field, Daniel Studer, Kyle Benne, Brent Griffith, and Paul Torcellini National Renewable Energy Laboratory Bing Liu, Mark Halverson, Dave Winiarski, and Michael Rosenberg Pacific Northwest National Laboratory Mehry Yazdanian Lawrence Berkeley National Laboratory Joe Huang Formerly of Lawrence Berkeley National Laboratory Drury Crawley Formerly of the U.S. Department of Energy Technical Report NREL/TP-5500-46861 February 2011 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory

2

Archived Reference Building Type: Hospital  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

3

Archived Reference Building Type: Warehouse  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

4

Building Technologies Office: Commercial Reference Buildings  

NLE Websites -- All DOE Office Websites (Extended Search)

Commercial Reference Commercial Reference Buildings to someone by E-mail Share Building Technologies Office: Commercial Reference Buildings on Facebook Tweet about Building Technologies Office: Commercial Reference Buildings on Twitter Bookmark Building Technologies Office: Commercial Reference Buildings on Google Bookmark Building Technologies Office: Commercial Reference Buildings on Delicious Rank Building Technologies Office: Commercial Reference Buildings on Digg Find More places to share Building Technologies Office: Commercial Reference Buildings on AddThis.com... About Take Action to Save Energy Activities 179d Tax Calculator Advanced Energy Design Guides Advanced Energy Retrofit Guides Building Energy Data Exchange Specification Buildings Performance Database Data Centers Energy Asset Score

5

Archived Reference Building Type: Hospital  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zonesis available for reference.Current versionsare also available.

6

Archived Reference Building Type: Warehouse  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zonesis available for reference.Current versionsare also available.

7

Commercial Reference Buildings | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Buildings » Research Projects » Commercial Reference Buildings » Research Projects » Commercial Reference Buildings Commercial Reference Buildings The U.S. Department of Energy (DOE), in conjunction with three of its national laboratories, developed commercial reference buildings, formerly known as commercial building benchmark models. These reference buildings play a critical role in the program's energy modeling software research by providing complete descriptions for whole building energy analysis using EnergyPlus simulation software. There are 16 building types that represent approximately 70% of the commercial buildings in the U.S., according to the report published by the National Renewable Energy Laboratory titled U.S. Department of Energy Commercial Reference Building Models of the National Building Stock. These

8

Archive Reference Buildings by Building Type: Warehouse  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

9

Archive Reference Buildings by Building Type: Supermarket  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

10

Existing Commercial Reference Buildings Constructed Before 1980 |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Existing Commercial Reference Buildings Constructed Before 1980 Existing Commercial Reference Buildings Constructed Before 1980 Existing Commercial Reference Buildings Constructed Before 1980 The files on this page contain commercial reference building models for existing buildings constructed before 1980, organized by building type and location. These U.S. Department of Energy (DOE) reference buildings are complete descriptions for whole building energy analysis. You can also return to a summary of building types and climate zones and information about other building vintages. These files are updated regularly. There are two versions of these files on this page. Version 1.3_5.0 was updated September 27, 2010 and Version 1.4_7.2 was updated November 13, 2012. You can also view related resources: an archive of past reference buildings files

11

Archived Reference Building Type: Medium office  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

12

Archived Reference Building Type: Midrise Apartment  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

13

Archived Reference Building Type: Outpatient health care  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

14

Archived Reference Building Type: Medium office  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zonesis available for reference.Current versionsare also available.

15

Archived Reference Building Type: Midrise Apartment  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zonesis available for reference.Current versionsare also available.

16

Archived Reference Building Type: Outpatient health care  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zonesis available for reference.Current versionsare also available.

17

Commercial Reference Building: Hospital | OpenEI  

Open Energy Info (EERE)

09 09 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278309 Varnish cache server Commercial Reference Building: Hospital Dataset Summary Description Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus simulation software. Included here is data pertaining to the reference building type Hospital for each of the 16 climate zones, and each of three construction categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings.The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for each of the three construction categories. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) Website, including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

18

Commercial Reference Building: Warehouse | OpenEI  

Open Energy Info (EERE)

Warehouse Warehouse Dataset Summary Description Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus simulation software. Included here is data pertaining to the reference building type Warehouse for each of the 16 climate zones, and each of three construction categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings.The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for three categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) Website, including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

19

Commercial Reference Building: Supermarket | OpenEI  

Open Energy Info (EERE)

Supermarket Supermarket Dataset Summary Description Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus simulation software. Included here is data pertaining to the reference building type Supermarket for each of the 16 climate zones, and each of three construction categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings.The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for each of the three construction categories. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) Website, including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

20

DOE Commercial Reference Buildings | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Buildings DOE Commercial Reference Buildings DOE Commercial Reference Buildings refbldgseuitables1-47-0.pdf More Documents & Publications Energy Information Agency's 2003...

Note: This page contains sample records for the topic "reference building models" 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

DOE Commercial Reference Buildings  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Buildings Buildings Version 1.4_7.0 New Construction, ANSI/ASHRAE/IESNA 90.1-2004 Site Energy Use Intensities (EUIs) [kBtu/ft 2 /yr] August 2012 Miami Houston Phoenix Atlanta Los Angeles Las Vegas San Francisco Baltimore Albuquerque Seattle Chicago Denver Minneapolis Helena Duluth Fairbanks Weighted Average Climate Zone 1A 2A 2B 3A 3B 3B 3C 4A 4B 4C 5A 5B 6A 6B 7 8 Large Office 47 48 45 44 39 41 41 46 40 41 47 42 52 46 53 67 45 Medium Office 51 51 51 48 41 47 43 51 46 45 52 47 57 51 59 76 50 Small Office 52 51 53 47 41 46 41 51 47 47 54 49 59 54 61 83 51 Warehouse 29 23 24 27 19 24 23 32 29 28 38 34 46 41 53 78 30 Stand-alone Retail 60 63 62 63 46 58 53 74 64 68 84 72 96 87 107 150 72 Strip Mall 57 61 60 65 48 61 57 78 68 74 89 76 103 94 115 164 71 Primary School 57 57 57 55 46 54 52 62 56 55 66 59 75 67 80 103 60 Secondary School 60 61 59 60 44 56 51 71 59 63 78 66 91 79 99 135 67 Supermarket

22

Reference Buildings by Building Type: Strip mall | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Strip mall Reference Buildings by Building Type: Strip mall In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes...

23

Reference Buildings by Building Type: Large Hotel | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Hotel Reference Buildings by Building Type: Large Hotel In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the...

24

New Construction Commercial Reference Buildings Archive  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

25

Existing Commercial Reference Buildings Constructed In or After 1980 |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Existing Commercial Reference Buildings Constructed In or After Existing Commercial Reference Buildings Constructed In or After 1980 Existing Commercial Reference Buildings Constructed In or After 1980 The files on this page contain commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. These U.S. Department of Energy (DOE) reference buildings are complete descriptions for whole building energy analysis. You can also return to a summary of building types and climate zones and information about other building vintages. These files are updated regularly. There are two versions of these files on this page. Version 1.3_5.0 was updated September 27, 2010 and Version 1.4_7.2 was updated November 13, 2012. You can also view related resources: an archive of past reference buildings files

26

Commercial Reference Buildings | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Commercial Reference Buildings Jump to: navigation, search DOE developed Commercial Reference Buildings which provide descriptions for whole building analysis using EnergyPlus. There are 16 building types and three categories that apply to all building types. The commercial reference buildings were developed across 16 reference locations. Contents 1 Building Types 2 Construction Categories 3 Climate Zones Used to Create Reference Buildings 4 References Building Types DOE developed 16 Commercial Reference Building Types[1] , which represent approximately 70% of the commercial buildings in the U.S. [2]. Whole

27

Archive Reference Buildings by Building Type: Stand-alone retail  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

28

Archive Reference Buildings by Building Type: Strip mall  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

29

Archive Reference Buildings by Building Type: Secondary school  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

30

Archive Reference Buildings by Building Type: Small office  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

31

Archive Reference Buildings by Building Type: Fast food  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

32

Archive Reference Buildings by Building Type: Primary school  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

33

Archived Reference Building Type: Stand-alone retail  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

34

Existing Commercial Reference Buildings Constructed Before 1980 - Archive  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Existing Commercial Reference Buildings Constructed Before 1980 - Existing Commercial Reference Buildings Constructed Before 1980 - Archive Existing Commercial Reference Buildings Constructed Before 1980 - Archive Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available. Archived Reference Buildings Building Type Version 1.2_4.0 updated 3/12/10 Large office (ZIP 2.3 MB) Medium office (ZIP 2.2 MB) Small office (ZIP 1.4 MB) Warehouse (ZIP 980 KB) Stand-alone retail (ZIP 2 MB) Strip mall (ZIP 2.3 MB) Primary school (ZIP 2.7 MB) Secondary school (ZIP 3.9 MB) Supermarket (ZIP 2.2 MB) Quick service restaurant (ZIP 1.1 MB) Full service restaurant

35

Existing Commercial Reference Buildings Constructed In or After 1980 -  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Existing Commercial Reference Buildings Constructed In or After Existing Commercial Reference Buildings Constructed In or After 1980 - Archive Existing Commercial Reference Buildings Constructed In or After 1980 - Archive Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available. Archived Reference Buildings Building Type Version 1.2_4.0 updated 3/12/10 Large office (ZIP 2.3 MB) Medium office (ZIP 2.2 MB) Small office (ZIP 1.4 MB) Warehouse (ZIP 980 KB) Stand-alone retail (ZIP 2 MB) Strip mall (ZIP 2.3 MB) Primary school (ZIP 2.7 MB) Secondary school (ZIP 3.9 MB) Supermarket (ZIP 2.2 MB) Quick service restaurant (ZIP 1.1 MB)

36

Reference Buildings by Building Type: Stand-alone retail | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Stand-alone retail Reference Buildings by Building Type: Stand-alone retail In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet...

37

Archived Reference Building Type: Stand-alone retail  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zonesis available for reference.Current versionsare also available.

38

New Construction - Commercial Reference Buildings | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

New Construction - Commercial Reference Buildings New Construction - Commercial Reference Buildings New Construction - Commercial Reference Buildings The files on this page contain commercial reference building models for new construction, organized by building type and location. These U.S. Department of Energy (DOE) reference buildings are complete descriptions for whole building energy analysis. You can also return to a summary of building types and climate zones and information about other building vintages. These files are updated regularly and comply with ANSI/ASHRAE/IESNA Standard 90.1-2004. For more information about standards, visit the ASHRAE Web site. There are two versions of these files on this page. Version 1.3_5.0 was updated September 27, 2010 and Version 1.4_7.2 was updated November 13, 2012.

39

Commercial Reference Building: Medium Office | OpenEI  

Open Energy Info (EERE)

Medium Office Medium Office Dataset Summary Description Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus simulation software. Included here is data pertaining to the reference building type Medium Office for each of the 16 climate zones, and each of three construction categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings. The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for three categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) Website, including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

40

Commercial Reference Building: Small Office | OpenEI  

Open Energy Info (EERE)

Office Office Dataset Summary Description Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus simulation software. Included here is data pertaining to the reference building type Small Office for each of the 16 climate zones, and each of three construction categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings.The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for three categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) Website, including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

Note: This page contains sample records for the topic "reference building models" 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

Archive Reference Buildings by Building Type: Large office | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Large office Large office Archive Reference Buildings by Building Type: Large office Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available. You can download ZIP files that contain the following: An EnergyPlus software input file (.idf) An html file showing the results from the EnergyPlus simulation (.html) A spreadsheet that summarizes the inputs and results for each location (.xls) The EnergyPlus TMY2 weather file (.epw). benchmark-v1.0_3.0-large_office.zip benchmark-v1.1_3.1-large_office.zip benchmark-new-v1.2_4.0-large_office.zip More Documents & Publications Archive Reference Buildings by Building Type: Large Hotel

42

Archive Reference Buildings by Building Type: Hospital | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Hospital Hospital Archive Reference Buildings by Building Type: Hospital Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available. You can download ZIP files that contain the following: An EnergyPlus software input file (.idf) An html file showing the results from the EnergyPlus simulation (.html) A spreadsheet that summarizes the inputs and results for each location (.xls) The EnergyPlus TMY2 weather file (.epw). benchmark-v1.0_3.0-hospital.zip benchmark-v1.1_3.1-hospital.zip benchmark-new-v1.2_4.0-hospital.zip More Documents & Publications Archive Reference Buildings by Building Type: Large office

43

Archive Reference Buildings by Building Type: Large Hotel | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Large Hotel Large Hotel Archive Reference Buildings by Building Type: Large Hotel Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available. You can download ZIP files that contain the following: An EnergyPlus software input file (.idf) An html file showing the results from the EnergyPlus simulation (.html) A spreadsheet that summarizes the inputs and results for each location (.xls) The EnergyPlus TMY2 weather file (.epw). benchmark-v1.0_3.0-large_hotel.zip benchmark-v1.1_3.1-large_hotel.zip benchmark-new-v1.2_4.0-large_hotel.zip More Documents & Publications Archive Reference Buildings by Building Type: Small Hotel

44

Archive Reference Buildings by Building Type: Medium office | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Medium office Medium office Archive Reference Buildings by Building Type: Medium office Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available. You can download ZIP files that contain the following: An EnergyPlus software input file (.idf) An html file showing the results from the EnergyPlus simulation (.html) A spreadsheet that summarizes the inputs and results for each location (.xls) The EnergyPlus TMY2 weather file (.epw). benchmark-v1.0_3.0-medium_office.zip benchmark-v1.1_3.1-medium_office.zip benchmark-new-v1.2_4.0-medium_office.zip More Documents & Publications Archive Reference Buildings by Building Type: Large office

45

Reference Buildings by Building Type: Supermarket  

Energy.gov (U.S. Department of Energy (DOE))

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

46

Reference Buildings by Building Type: Warehouse  

Energy.gov (U.S. Department of Energy (DOE))

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

47

Reference Buildings by Building Type: Midrise Apartment  

Energy.gov (U.S. Department of Energy (DOE))

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

48

Reference Buildings by Building Type: Primary school  

Office of Energy Efficiency and Renewable Energy (EERE)

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

49

Reference Buildings by Building Type: Small office  

Office of Energy Efficiency and Renewable Energy (EERE)

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

50

Reference Buildings by Building Type: Large office  

Office of Energy Efficiency and Renewable Energy (EERE)

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

51

Reference Buildings by Building Type: Small Hotel  

Office of Energy Efficiency and Renewable Energy (EERE)

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

52

Reference Buildings by Building Type: Secondary school  

Office of Energy Efficiency and Renewable Energy (EERE)

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

53

Reference Buildings by Building Type: Large Hotel  

Office of Energy Efficiency and Renewable Energy (EERE)

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

54

Reference Buildings by Building Type: Strip mall  

Office of Energy Efficiency and Renewable Energy (EERE)

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

55

Reference Buildings by Building Type: Hospital  

Energy.gov (U.S. Department of Energy (DOE))

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

56

Reference Buildings by Building Type: Medium office  

Energy.gov (U.S. Department of Energy (DOE))

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

57

Commercial Reference Building: Stand-alone Retail | OpenEI  

Open Energy Info (EERE)

Stand-alone Retail Stand-alone Retail Dataset Summary Description Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus simulation software. Included here is data pertaining to the reference building type Stand-alone Retail for each of the 16 climate zones, and each of three construction categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings.The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for each of the three construction categories. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) Website, including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

58

Commercial Reference Building: Large Office | OpenEI  

Open Energy Info (EERE)

Office Office Dataset Summary Description Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus simulation software. Included here is data pertaining to the reference building type Large office for each of the 16 climate zones, and each of three construction categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings.The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for each of the three categories. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) Website, including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

59

Commercial Reference Building: Quick Service Restaurant | OpenEI  

Open Energy Info (EERE)

Quick Service Restaurant Quick Service Restaurant Dataset Summary Description Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus simulation software. Included here is data pertaining to the reference building type Quick Service Restaurant for each of the 16 climate zones, and each of three construction categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings.The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for each of the three construction categories. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) Website, including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

60

Commercial Reference Building: Midrise Apartment | OpenEI  

Open Energy Info (EERE)

Midrise Apartment Midrise Apartment Dataset Summary Description Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus simulation software. Included here is data pertaining to the reference building type Midrise Apartment, for each of the 16 climate zones, and each of three construction categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings.The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for the three construction categories. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) Website, including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

Note: This page contains sample records for the topic "reference building models" 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

Commercial Reference Building: Strip Mall | OpenEI  

Open Energy Info (EERE)

Strip Mall Strip Mall Dataset Summary Description Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus simulation software. Included here is data pertaining to the reference building type Strip Mall for each of the 16 climate zones, and each of three construction categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings.The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for the three construction categories. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) Website, including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

62

Commercial Reference Building: Primary School | OpenEI  

Open Energy Info (EERE)

Primary School Primary School Dataset Summary Description Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus simulation software. Included here is data pertaining to the reference building type Primary School for each of the 16 climate zones, and each of three construction categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings.The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for the three categories. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) Website, including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

63

Commercial Reference Building: Secondary School | OpenEI  

Open Energy Info (EERE)

Secondary School Secondary School Dataset Summary Description Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus simulation software. Included here is data pertaining to the reference building type Secondary School for each of the 16 climate zones,and each of three construction categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings.The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for the three construction categories. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) Website, including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

64

Commercial Reference Building: Full Service Restaurant | OpenEI  

Open Energy Info (EERE)

Full Service Restaurant Full Service Restaurant Dataset Summary Description Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus simulation software. Included here is data pertaining to the reference building type Full-Service Restaurant for each of the 16 climate zones, and each of three construction categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings.The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for each of the three construction categories. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) Website, including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

65

Commercial Reference Building: Large Hotel | OpenEI  

Open Energy Info (EERE)

Hotel Hotel Dataset Summary Description Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus simulation software. Included here is data pertaining to the reference building type Large Hotel for each of the 16 climate zones, and each of three construction categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings.The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for each of the three construction categories. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) Website, including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

66

Commercial Reference Building: Outpatient Health Care | OpenEI  

Open Energy Info (EERE)

Outpatient Health Care Outpatient Health Care Dataset Summary Description Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus simulation software. Included here is data pertaining to the reference building type Outpatient Health Care for each of the 16 climate zones, and each of three construction categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings.The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for each of the three construction categories. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) Website, including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

67

Archive Reference Buildings by Building Type: Restaurant | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Restaurant Restaurant Archive Reference Buildings by Building Type: Restaurant Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available. You can download ZIP files that contain the following: An EnergyPlus software input file (.idf) An html file showing the results from the EnergyPlus simulation (.html) A spreadsheet that summarizes the inputs and results for each location (.xls) The EnergyPlus TMY2 weather file (.epw). benchmark-v1.0_3.0-sit_down_restaurant.zip benchmark-v1.1_3.1-sit_down_restaurant.zip benchmark-new-v1.2_4.0-full_service_restaurant.zip More Documents & Publications

68

Model Building  

E-Print Network (OSTI)

In this talk I begin with some general discussion of model building in particle theory, emphasizing the need for motivation and testability. Three illustrative examples are then described. The first is the Left-Right model which provides an explanation for the chirality of quarks and leptons. The second is the 331-model which offers a first step to understanding the three generations of quarks and leptons. Third and last is the SU(15) model which can accommodate the light leptoquarks possibly seen at HERA.

Paul H. Frampton

1997-06-03T23:59:59.000Z

69

Commercial Reference Building: Small Hotel | OpenEI  

Open Energy Info (EERE)

60 60 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278160 Varnish cache server Commercial Reference Building: Small Hotel Dataset Summary Description Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus simulation software. Included here is data pertaining to the reference building type Small Hotel for each of the 16 climate zones, and each of three construction categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings.The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for each of the three construction categories. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) Website, including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

70

Commercial Prototype Building Models | Building Energy Codes Program  

NLE Websites -- All DOE Office Websites (Extended Search)

Prototype Building Models Prototype Building Models The U.S. Department of Energy (DOE) supports the development of commercial building energy codes and standards by participating in review processes and providing analyses that are available for public review and use. To calculate the impact of ASHRAE Standard 90.1, researchers at Pacific Northwest National Laboratory (PNNL) created a suite of 16 prototype buildings covering 80% of the commercial building floor area in the United States for new construction, including both commercial buildings and mid- to high-rise buildings. These prototype buildings-derived from DOE's Commercial Reference Building Models-cover all the reference building types except supermarkets, and also add a new building prototype representing high-rise apartment buildings. As ASHRAE Standard 90.1

71

90.1 Prototype Building Models Outpatient Healthcare | Building Energy  

NLE Websites -- All DOE Office Websites (Extended Search)

Outpatient Healthcare Outpatient Healthcare The ASHRAE Standard 90.1 prototype building models were developed by Pacific Northwest National Laboratory in support of the U.S. Department of Energy's (DOE's) Building Energy Codes Program. These prototype buildings were derived from DOE's Commercial Reference Building Models. This suite of ASHRAE Standard 90.1 prototype buildings covers all the Reference Building types except supermarket, and also adds a new building prototype representing high-rise apartment buildings.The prototype models include 16 building types in 17 climate locations for ASHRAE Standards 90.1-2004, 90.1-2007 and 90.1-2010. This combination leads to a set of 816 building models (in EnergyPlus Version 6.0). Also included is a scorecard for each prototype building. The scorecard is a spreadsheet that summarizes the

72

DOE Commercial Reference Buildings Summary of Changes Between...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Buildings refbldgschangesv40tov70.pdf More Documents & Publications DOE Commercial Reference Buildings Summary of Changes Between Versions Department of Energy Commercial...

73

Reference Buildings by Climate Zone and Representative City:...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

A Minneapolis, Minnesota Reference Buildings by Climate Zone and Representative City: 6A Minneapolis, Minnesota In addition to the ZIP file for each building type, you can directly...

74

Reference Buildings by Climate Zone and Representative City:...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

1A Miami, Florida Reference Buildings by Climate Zone and Representative City: 1A Miami, Florida In addition to the ZIP file for each building type, you can directly view the...

75

Reference Buildings by Climate Zone and Representative City:...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

B Boulder, Colorado Reference Buildings by Climate Zone and Representative City: 5B Boulder, Colorado In addition to the ZIP file for each building type, you can directly view the...

76

Reference Buildings by Climate Zone and Representative City:...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

A Chicago, Illinois Reference Buildings by Climate Zone and Representative City: 5A Chicago, Illinois In addition to the ZIP file for each building type, you can directly view the...

77

Reference Buildings by Climate Zone and Representative City:...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

B Phoenix, Arizona Reference Buildings by Climate Zone and Representative City: 2B Phoenix, Arizona In addition to the ZIP file for each building type, you can directly view the...

78

Reference Buildings by Climate Zone and Representative City:...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

7 Duluth, Minnesota Reference Buildings by Climate Zone and Representative City: 7 Duluth, Minnesota In addition to the ZIP file for each building type, you can directly view the...

79

Reference Buildings by Climate Zone and Representative City:...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

A Baltimore, Maryland Reference Buildings by Climate Zone and Representative City: 4A Baltimore, Maryland In addition to the ZIP file for each building type, you can directly view...

80

Reference Buildings by Climate Zone and Representative City:...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

C Seattle, Washington Reference Buildings by Climate Zone and Representative City: 4C Seattle, Washington In addition to the ZIP file for each building type, you can directly view...

Note: This page contains sample records for the topic "reference building models" 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

Reference Buildings by Climate Zone and Representative City:...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

A Atlanta, Georgia Reference Buildings by Climate Zone and Representative City: 3A Atlanta, Georgia In addition to the ZIP file for each building type, you can directly view the...

82

Reference Buildings by Climate Zone and Representative City:...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

8 Fairbanks, Alaska Reference Buildings by Climate Zone and Representative City: 8 Fairbanks, Alaska In addition to the ZIP file for each building type, you can directly view the...

83

Reference Buildings by Climate Zone and Representative City:...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

B Las Vegas, Nevada Reference Buildings by Climate Zone and Representative City: 3B Las Vegas, Nevada In addition to the ZIP file for each building type, you can directly view the...

84

Reference Buildings by Climate Zone and Representative City:...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

A Houston, Texas Reference Buildings by Climate Zone and Representative City: 2A Houston, Texas In addition to the ZIP file for each building type, you can directly view the...

85

Reference Buildings by Climate Zone and Representative City:...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

B Helena, Montana Reference Buildings by Climate Zone and Representative City: 6B Helena, Montana In addition to the ZIP file for each building type, you can directly view the...

86

Reference Buildings by Climate Zone and Representative City:...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

C San Francisco, California Reference Buildings by Climate Zone and Representative City: 3C San Francisco, California In addition to the ZIP file for each building type, you can...

87

Reference Buildings by Climate Zone and Representative City:...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

B Los Angeles, California Reference Buildings by Climate Zone and Representative City: 3B Los Angeles, California In addition to the ZIP file for each building type, you can...

88

DOE Commercial Reference Buildings Summary of Changes Between Versions  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Buildings Buildings Summary of Changes between Versions November 2012 1 Applicable Model(s) Change Changes from version 1.2_4.0 to 1.3_5.0 All Transitioned from EnergyPlus 4.0 to EnergyPlus 5.0 All For fan power calculations, fan nameplate horsepower corrected from 90% brake horsepower to 110% brake horsepower All Removed multipliers on roof surface infiltration because EnergyPlus now counts the roof surface in infiltration per exterior surface area calculations All Added parking lot exterior lighting All Updated headers to reflect new name for technical report reference All models with DX cooling Changed COP calculation to remove fan power at ARI conditions, not max. allowable fan power (see Ref. Bldgs. Technical Report for more info.) All models with DX cooling Changed cooling performance curves to reflect

89

Green Buildings Project Terms of Reference Background  

E-Print Network (OSTI)

The advancement of green building practices was identified at the Regional District of Nanaimo Saturday, April 3, 2004 Sustainability Workshop 1 as one of the possible ways of making the region a more sustainable place to live. What is a Green Building? Green buildings are buildings that require less energy to operate, contribute fewer emissions to the environment, conserve water, generate less solid waste, and provide more comfortable and productive environments for their inhabitants. The definition of what is a green building is somewhat subjective, but different rating systems have been developed and are becoming more common in their use to assess a buildings greenness. Leadership in Energy and Environmental Design (LEED) appears to be the most well-known and widely used system to rate the greenness of buildings. It is a voluntary, consensus based self-assessment tool that has been embraced nationally and internationally as the green building design standard 2 . LEED establishes a system in which a specified number of points are assigned according to the particular attributes of the building in five performance areas: the sustainability of the building site, water efficiency, energy and atmosphere, materials and resources, and indoor environmental quality. Depending upon the number of points accumulated, and hence the sustainability of the building, buildings are classified as LEED Certified, Silver, Gold or Platinum.

unknown authors

90

Quintessence Model Building  

E-Print Network (OSTI)

A short review of some of the aspects of quintessence model building is presented. We emphasize the role of tracking models and their possible supersymmetric origin.

Ph. Brax; J. Martin; A. Riazuelo

2001-09-27T23:59:59.000Z

91

Autotune Building Energy Models  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Autotune Building Energy Models Autotune Building Energy Models Joshua New Oak Ridge National Laboratory newjr@ornl.gov, 865-241-8783 April 2, 2013 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem Statement: * "All (building energy) models are wrong, but some are useful" - 22%-97% different from utility data for 3,349 buildings * More accurate models are more useful - Error from inputs and algorithms for practical reasons - Useful for cost-effective energy efficiency (EE) at speed and scale

92

Reference Buildings by Climate Zone and Representative City: 8 Fairbanks,  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Climate Zone and Representative City: 8 Climate Zone and Representative City: 8 Fairbanks, Alaska Reference Buildings by Climate Zone and Representative City: 8 Fairbanks, Alaska In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included. refbldg_8a_usa_ak_fairbanks_post1980_v1.3_5.0.zip refbldg_8a_usa_ak_fairbanks_post1980_v1-4_7-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 3A Atlanta, Georgia Reference Buildings by Climate Zone and Representative City: 6B Helena, Montana Reference Buildings by Building Type: Secondary school

93

Reference Buildings by Climate Zone and Representative City: 7 Duluth,  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

7 7 Duluth, Minnesota Reference Buildings by Climate Zone and Representative City: 7 Duluth, Minnesota In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included. refbldg_7a_usa_mn_duluth_pre1980_v1.3_5.0.zip refbldg_7a_usa_mn_duluth_pre1980_v1-4_7-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 3B Los Angeles, California Reference Buildings by Climate Zone and Representative City: 3C San Francisco, California Reference Buildings by Climate Zone and Representative City: 5A Chicago, Illinois

94

Reference Buildings by Climate Zone and Representative City: 6A  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

A A Minneapolis, Minnesota Reference Buildings by Climate Zone and Representative City: 6A Minneapolis, Minnesota In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included. refbldg_6a_usa_mn_minneapolis_post1980_v1.3_5.0.zip refbldg_6a_usa_mn_minneapolis_post1980_v1-4_7-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 7 Duluth, Minnesota Reference Buildings by Climate Zone and Representative City: 5A Chicago, Illinois Reference Buildings by Climate Zone and Representative City: 5B Boulder,

95

Comparison of Building Energy Modeling Programs: Building Loads  

E-Print Network (OSTI)

Comparison of Building Energy Modeling Programs: BuildingComparison of Building Energy Modeling Programs: Buildingof comparing three Building Energy Modeling Programs (BEMPs)

Zhu, Dandan

2014-01-01T23:59:59.000Z

96

Building Energy Modeling Library  

NLE Websites -- All DOE Office Websites (Extended Search)

Modeling (BEM) Modeling (BEM) Library TDM - Amir Roth Ellen Franconi Rocky Mountain Institute Efranconi@rmi.org 303-567-8609 April 2, 2013 Photo by : Dennis Schroeder, NREL 23250 2 | Building Technologies Office eere.energy.gov Project Overview Building Energy Modeling (BEM) Library * Define and develop a best-practices BEM knowledge repository to improve modeling consistency and address training gaps * Raise energy modeling industry "techniques" to the same

97

Archive Reference Buildings by Climate Zone: 5A Chicago, Illinois |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

A Chicago, Illinois A Chicago, Illinois Archive Reference Buildings by Climate Zone: 5A Chicago, Illinois Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available. You can download ZIP files that contain the following: An EnergyPlus software input file (.idf) An html file showing the results from the EnergyPlus simulation (.html) A spreadsheet that summarizes the inputs and results for each location (.xls) The EnergyPlus TMY2 weather file (.epw). benchmark-v1.0_3.0-5a_il_chicago.zip benchmark-v1.1_3.1-5a_usa_il_chicago-ohare.zip benchmark-new-v1.2_4.0-5a_usa_il_chicago-ohare.zip More Documents & Publications

98

Archive Reference Buildings by Climate Zone: 6A Minneapolis, Minnesota |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

A Minneapolis, A Minneapolis, Minnesota Archive Reference Buildings by Climate Zone: 6A Minneapolis, Minnesota Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available. You can download ZIP files that contain the following: An EnergyPlus software input file (.idf) An html file showing the results from the EnergyPlus simulation (.html) A spreadsheet that summarizes the inputs and results for each location (.xls) The EnergyPlus TMY2 weather file (.epw). benchmark-v1.0_3.0-6a_mn_minneapolis.zip benchmark-v1.1_3.1-6a_usa_mn_minneapolis.zip benchmark-new-v1.2_4.0-6a_usa_mn_minneapolis.zip

99

Archive Reference Buildings by Climate Zone: 4A Baltimore, Maryland |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

A Baltimore, Maryland A Baltimore, Maryland Archive Reference Buildings by Climate Zone: 4A Baltimore, Maryland Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available. You can download ZIP files that contain the following: An EnergyPlus software input file (.idf) An html file showing the results from the EnergyPlus simulation (.html) A spreadsheet that summarizes the inputs and results for each location (.xls) The EnergyPlus TMY2 weather file (.epw). benchmark-v1.0_3.0-4a_md_baltimore.zip benchmark-v1.1_3.1-4a_usa_md_baltimore.zip benchmark-new-v1.2_4.0-4a_usa_md_baltimore.zip More Documents & Publications

100

Archive Reference Buildings by Climate Zone: 7 Duluth, Minnesota |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

7 Duluth, Minnesota 7 Duluth, Minnesota Archive Reference Buildings by Climate Zone: 7 Duluth, Minnesota Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available. You can download ZIP files that contain the following: An EnergyPlus software input file (.idf) An html file showing the results from the EnergyPlus simulation (.html) A spreadsheet that summarizes the inputs and results for each location (.xls) The EnergyPlus TMY2 weather file (.epw). benchmark-v1.0_3.0-7a_mn_duluth.zip benchmark-v1.1_3.1-7a_usa_mn_duluth.zip benchmark-new-v1.2_4.0-7a_usa_mn_duluth.zip More Documents & Publications

Note: This page contains sample records for the topic "reference building models" 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

Archive Reference Buildings by Climate Zone: 4C Seattle, Washington |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

C Seattle, Washington C Seattle, Washington Archive Reference Buildings by Climate Zone: 4C Seattle, Washington Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available. You can download ZIP files that contain the following: An EnergyPlus software input file (.idf) An html file showing the results from the EnergyPlus simulation (.html) A spreadsheet that summarizes the inputs and results for each location (.xls) The EnergyPlus TMY2 weather file (.epw). benchmark-v1.0_3.0-4c_wa_seattle.zip benchmark-v1.1_3.1-4c_usa_wa_seattle.zip benchmark-new-v1.2_4.0-4c_usa_wa_seattle.zip More Documents & Publications

102

Archive Reference Buildings by Climate Zone: 2B Phoenix, Arizona |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

B Phoenix, Arizona B Phoenix, Arizona Archive Reference Buildings by Climate Zone: 2B Phoenix, Arizona Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available. You can download ZIP files that contain the following: An EnergyPlus software input file (.idf) An html file showing the results from the EnergyPlus simulation (.html) A spreadsheet that summarizes the inputs and results for each location (.xls) The EnergyPlus TMY2 weather file (.epw). benchmark-v1.0_3.0-2b_az_phoenix.zip benchmark-v1.1_3.1-2b_usa_az_phoenix.zip benchmark-new-v1.2_4.0-2b_usa_az_phoenix.zip More Documents & Publications

103

Archive Reference Buildings by Climate Zone: 5B Boulder, Colorado |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

B Boulder, Colorado B Boulder, Colorado Archive Reference Buildings by Climate Zone: 5B Boulder, Colorado Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available. You can download ZIP files that contain the following: An EnergyPlus software input file (.idf) An html file showing the results from the EnergyPlus simulation (.html) A spreadsheet that summarizes the inputs and results for each location (.xls) The EnergyPlus TMY2 weather file (.epw). benchmark-v1.0_3.0-5b_co_boulder.zip benchmark-v1.1_3.1-5b_usa_co_boulder.zip benchmark-new-v1.2_4.0-5b_usa_co_boulder.zip More Documents & Publications

104

Archive Reference Buildings by Climate Zone: 6B Helena, Montana |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

B Helena, Montana B Helena, Montana Archive Reference Buildings by Climate Zone: 6B Helena, Montana Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available. You can download ZIP files that contain the following: An EnergyPlus software input file (.idf) An html file showing the results from the EnergyPlus simulation (.html) A spreadsheet that summarizes the inputs and results for each location (.xls) The EnergyPlus TMY2 weather file (.epw). benchmark-v1.0_3.0-6b_mt_helena.zip benchmark-v1.1_3.1-6b_usa_mt_helena.zip benchmark-new-v1.2_4.0-6b_usa_mt_helena.zip More Documents & Publications

105

Archive Reference Buildings by Climate Zone: 8 Fairbanks, Alaska |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

8 Fairbanks, Alaska 8 Fairbanks, Alaska Archive Reference Buildings by Climate Zone: 8 Fairbanks, Alaska Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available. You can download ZIP files that contain the following: An EnergyPlus software input file (.idf) An html file showing the results from the EnergyPlus simulation (.html) A spreadsheet that summarizes the inputs and results for each location (.xls) The EnergyPlus TMY2 weather file (.epw). benchmark-v1.0_3.0-8a_ak_fairbanks.zip benchmark-v1.1_3.1-8a_usa_ak_fairbanks.zip benchmark-new-v1.2_4.0-8a_usa_ak_fairbanks.zip More Documents & Publications

106

Reference Buildings by Building Type: Quick service restaurant  

Office of Energy Efficiency and Renewable Energy (EERE)

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

107

Reference Buildings by Building Type: Full service restaurant  

Office of Energy Efficiency and Renewable Energy (EERE)

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

108

Reference Buildings by Building Type: Stand-alone retail  

Office of Energy Efficiency and Renewable Energy (EERE)

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

109

Reference Buildings by Building Type: Outpatient health care  

Energy.gov (U.S. Department of Energy (DOE))

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

110

Complete 90.1 Prototype Building Model package | Building Energy Codes  

NLE Websites -- All DOE Office Websites (Extended Search)

Complete 90.1 Prototype Building Model package Complete 90.1 Prototype Building Model package The ASHRAE Standard 90.1 prototype building models were developed by Pacific Northwest National Laboratory in support of the U.S. Department of Energy's (DOE's) Building Energy Codes Program. These prototype buildings were derived from DOE's Commercial Reference Building Models. This suite of ASHRAE Standard 90.1 prototype buildings covers all the Reference Building types except supermarket, and also adds a new building prototype representing high-rise apartment buildings.The prototype models include 16 building types in 17 climate locations for ASHRAE Standards 90.1-2004, 90.1-2007 and 90.1-2010. This combination leads to a set of 816 building models (in EnergyPlus Version 6.0). Also included is a scorecard for each

111

90.1 Prototype Building Models Full Service Restaurant | Building Energy  

NLE Websites -- All DOE Office Websites (Extended Search)

90.1 Prototype Building Models Full Service Restaurant 90.1 Prototype Building Models Full Service Restaurant The ASHRAE Standard 90.1 prototype building models were developed by Pacific Northwest National Laboratory in support of the U.S. Department of Energy's (DOE's) Building Energy Codes Program. These prototype buildings were derived from DOE's Commercial Reference Building Models. This suite of ASHRAE Standard 90.1 prototype buildings covers all the Reference Building types except supermarket, and also adds a new building prototype representing high-rise apartment buildings.The prototype models include 16 building types in 17 climate locations for ASHRAE Standards 90.1-2004, 90.1-2007 and 90.1-2010. This combination leads to a set of 816 building models (in EnergyPlus Version 6.0). Also included is a scorecard for each

112

90.1 Prototype Building Models- Medium Office | Building Energy Codes  

NLE Websites -- All DOE Office Websites (Extended Search)

Models- Medium Office Models- Medium Office The ASHRAE Standard 90.1 prototype building models were developed by Pacific Northwest National Laboratory in support of the U.S. Department of Energy's (DOE's) Building Energy Codes Program. These prototype buildings were derived from DOE's Commercial Reference Building Models. This suite of ASHRAE Standard 90.1 prototype buildings covers all the Reference Building types except supermarket, and also adds a new building prototype representing high-rise apartment buildings.The prototype models include 16 building types in 17 climate locations for ASHRAE Standards 90.1-2004, 90.1-2007 and 90.1-2010. This combination leads to a set of 816 building models (in EnergyPlus Version 6.0). Also included is a scorecard for each prototype building. The scorecard is a spreadsheet that summarizes the

113

SUSY Model Building  

E-Print Network (OSTI)

I review some of the latest directions in supersymmetric model building, focusing on SUSY breaking mechanisms in the minimal supersymmetric standard model [MSSM], the "little" hierarchy and $\\mu$ problems, etc. I then discuss SUSY GUTs and UV completions in string theory.

Stuart Raby

2007-10-15T23:59:59.000Z

114

String Model Building  

E-Print Network (OSTI)

In this talk I review some recent progress in heterotic and F theory model building. I then consider work in progress attempting to find the F theory dual to a class of heterotic orbifold models which come quite close to the MSSM.

Stuart Raby

2009-11-06T23:59:59.000Z

115

Building information modeling for MEP.  

E-Print Network (OSTI)

??Building Information Modeling (BIM) is a new way of approaching the design, construction, and management of a building. It is an innovative method that bridges (more)

McFarland, Jessica E

2007-01-01T23:59:59.000Z

116

90.1 Prototype Building Models Mid-rise Apartment | Building Energy Codes  

NLE Websites -- All DOE Office Websites (Extended Search)

Mid-rise Apartment Mid-rise Apartment The ASHRAE Standard 90.1 prototype building models were developed by Pacific Northwest National Laboratory in support of the U.S. Department of Energy's (DOE's) Building Energy Codes Program. These prototype buildings were derived from DOE's Commercial Reference Building Models. This suite of ASHRAE Standard 90.1 prototype buildings covers all the Reference Building types except supermarket, and also adds a new building prototype representing high-rise apartment buildings.The prototype models include 16 building types in 17 climate locations for ASHRAE Standards 90.1-2004, 90.1-2007 and 90.1-2010. This combination leads to a set of 816 building models (in EnergyPlus Version 6.0). Also included is a scorecard for each prototype building. The scorecard is a spreadsheet that summarizes the

117

90.1 Prototype Building Models Stand Alone Retail | Building Energy Codes  

NLE Websites -- All DOE Office Websites (Extended Search)

Stand Alone Retail Stand Alone Retail The ASHRAE Standard 90.1 prototype building models were developed by Pacific Northwest National Laboratory in support of the U.S. Department of Energy's (DOE's) Building Energy Codes Program. These prototype buildings were derived from DOE's Commercial Reference Building Models. This suite of ASHRAE Standard 90.1 prototype buildings covers all the Reference Building types except supermarket, and also adds a new building prototype representing high-rise apartment buildings.The prototype models include 16 building types in 17 climate locations for ASHRAE Standards 90.1-2004, 90.1-2007 and 90.1-2010. This combination leads to a set of 816 building models (in EnergyPlus Version 6.0). Also included is a scorecard for each prototype building. The scorecard is a spreadsheet that summarizes the

118

90.1 Prototype Building Models Quick Service Restaurant | Building Energy  

NLE Websites -- All DOE Office Websites (Extended Search)

Quick Service Restaurant Quick Service Restaurant The ASHRAE Standard 90.1 prototype building models were developed by Pacific Northwest National Laboratory in support of the U.S. Department of Energy's (DOE's) Building Energy Codes Program. These prototype buildings were derived from DOE's Commercial Reference Building Models. This suite of ASHRAE Standard 90.1 prototype buildings covers all the Reference Building types except supermarket, and also adds a new building prototype representing high-rise apartment buildings.The prototype models include 16 building types in 17 climate locations for ASHRAE Standards 90.1-2004, 90.1-2007 and 90.1-2010. This combination leads to a set of 816 building models (in EnergyPlus Version 6.0). Also included is a scorecard for each prototype building. The scorecard is a spreadsheet that summarizes the

119

90.1 Prototype Building Models Large Hotel | Building Energy Codes Program  

NLE Websites -- All DOE Office Websites (Extended Search)

Hotel Hotel The ASHRAE Standard 90.1 prototype building models were developed by Pacific Northwest National Laboratory in support of the U.S. Department of Energy's (DOE's) Building Energy Codes Program. These prototype buildings were derived from DOE's Commercial Reference Building Models. This suite of ASHRAE Standard 90.1 prototype buildings covers all the Reference Building types except supermarket, and also adds a new building prototype representing high-rise apartment buildings.The prototype models include 16 building types in 17 climate locations for ASHRAE Standards 90.1-2004, 90.1-2007 and 90.1-2010. This combination leads to a set of 816 building models (in EnergyPlus Version 6.0). Also included is a scorecard for each prototype building. The scorecard is a spreadsheet that summarizes the

120

90.1 Prototype Building Models Warehouse (non-refrigerated) | Building  

NLE Websites -- All DOE Office Websites (Extended Search)

Warehouse (non-refrigerated) Warehouse (non-refrigerated) The ASHRAE Standard 90.1 prototype building models were developed by Pacific Northwest National Laboratory in support of the U.S. Department of Energy's (DOE's) Building Energy Codes Program. These prototype buildings were derived from DOE's Commercial Reference Building Models. This suite of ASHRAE Standard 90.1 prototype buildings covers all the Reference Building types except supermarket, and also adds a new building prototype representing high-rise apartment buildings.The prototype models include 16 building types in 17 climate locations for ASHRAE Standards 90.1-2004, 90.1-2007 and 90.1-2010. This combination leads to a set of 816 building models (in EnergyPlus Version 6.0). Also included is a scorecard for each prototype building. The scorecard is a spreadsheet that summarizes the

Note: This page contains sample records for the topic "reference building models" 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

90.1 Prototype Building Models Large Office | Building Energy Codes Program  

NLE Websites -- All DOE Office Websites (Extended Search)

Office Office The ASHRAE Standard 90.1 prototype building models were developed by Pacific Northwest National Laboratory in support of the U.S. Department of Energy's (DOE's) Building Energy Codes Program. These prototype buildings were derived from DOE's Commercial Reference Building Models. This suite of ASHRAE Standard 90.1 prototype buildings covers all the Reference Building types except supermarket, and also adds a new building prototype representing high-rise apartment buildings.The prototype models include 16 building types in 17 climate locations for ASHRAE Standards 90.1-2004, 90.1-2007 and 90.1-2010. This combination leads to a set of 816 building models (in EnergyPlus Version 6.0). Also included is a scorecard for each prototype building. The scorecard is a spreadsheet that summarizes the

122

90.1 Prototype Building Models Small Office | Building Energy Codes Program  

NLE Websites -- All DOE Office Websites (Extended Search)

Office Office The ASHRAE Standard 90.1 prototype building models were developed by Pacific Northwest National Laboratory in support of the U.S. Department of Energy's (DOE's) Building Energy Codes Program. These prototype buildings were derived from DOE's Commercial Reference Building Models. This suite of ASHRAE Standard 90.1 prototype buildings covers all the Reference Building types except supermarket, and also adds a new building prototype representing high-rise apartment buildings.The prototype models include 16 building types in 17 climate locations for ASHRAE Standards 90.1-2004, 90.1-2007 and 90.1-2010. This combination leads to a set of 816 building models (in EnergyPlus Version 6.0). Also included is a scorecard for each prototype building. The scorecard is a spreadsheet that summarizes the

123

90.1 Prototype Building Models Strip Mall | Building Energy Codes Program  

NLE Websites -- All DOE Office Websites (Extended Search)

Strip Mall Strip Mall The ASHRAE Standard 90.1 prototype building models were developed by Pacific Northwest National Laboratory in support of the U.S. Department of Energy's (DOE's) Building Energy Codes Program. These prototype buildings were derived from DOE's Commercial Reference Building Models. This suite of ASHRAE Standard 90.1 prototype buildings covers all the Reference Building types except supermarket, and also adds a new building prototype representing high-rise apartment buildings.The prototype models include 16 building types in 17 climate locations for ASHRAE Standards 90.1-2004, 90.1-2007 and 90.1-2010. This combination leads to a set of 816 building models (in EnergyPlus Version 6.0). Also included is a scorecard for each prototype building. The scorecard is a spreadsheet that summarizes the

124

90.1 Prototype Building Models Small Hotel | Building Energy Codes Program  

NLE Websites -- All DOE Office Websites (Extended Search)

Hotel Hotel The ASHRAE Standard 90.1 prototype building models were developed by Pacific Northwest National Laboratory in support of the U.S. Department of Energy's (DOE's) Building Energy Codes Program. These prototype buildings were derived from DOE's Commercial Reference Building Models. This suite of ASHRAE Standard 90.1 prototype buildings covers all the Reference Building types except supermarket, and also adds a new building prototype representing high-rise apartment buildings.The prototype models include 16 building types in 17 climate locations for ASHRAE Standards 90.1-2004, 90.1-2007 and 90.1-2010. This combination leads to a set of 816 building models (in EnergyPlus Version 6.0). Also included is a scorecard for each prototype building. The scorecard is a spreadsheet that summarizes the

125

90.1 Prototype Building Models Primary School | Building Energy Codes  

NLE Websites -- All DOE Office Websites (Extended Search)

Primary School Primary School The ASHRAE Standard 90.1 prototype building models were developed by Pacific Northwest National Laboratory in support of the U.S. Department of Energy's (DOE's) Building Energy Codes Program. These prototype buildings were derived from DOE's Commercial Reference Building Models. This suite of ASHRAE Standard 90.1 prototype buildings covers all the Reference Building types except supermarket, and also adds a new building prototype representing high-rise apartment buildings.The prototype models include 16 building types in 17 climate locations for ASHRAE Standards 90.1-2004, 90.1-2007 and 90.1-2010. This combination leads to a set of 816 building models (in EnergyPlus Version 6.0). Also included is a scorecard for each prototype building. The scorecard is a spreadsheet that summarizes the

126

90.1 Prototype Building Models Hospital | Building Energy Codes Program  

NLE Websites -- All DOE Office Websites (Extended Search)

Hospital Hospital The ASHRAE Standard 90.1 prototype building models were developed by Pacific Northwest National Laboratory in support of the U.S. Department of Energy's (DOE's) Building Energy Codes Program. These prototype buildings were derived from DOE's Commercial Reference Building Models. This suite of ASHRAE Standard 90.1 prototype buildings covers all the Reference Building types except supermarket, and also adds a new building prototype representing high-rise apartment buildings.The prototype models include 16 building types in 17 climate locations for ASHRAE Standards 90.1-2004, 90.1-2007 and 90.1-2010. This combination leads to a set of 816 building models (in EnergyPlus Version 6.0). Also included is a scorecard for each prototype building. The scorecard is a spreadsheet that summarizes the

127

90.1 Prototype Building Models Secondary School | Building Energy Codes  

NLE Websites -- All DOE Office Websites (Extended Search)

Secondary School Secondary School The ASHRAE Standard 90.1 prototype building models were developed by Pacific Northwest National Laboratory in support of the U.S. Department of Energy's (DOE's) Building Energy Codes Program. These prototype buildings were derived from DOE's Commercial Reference Building Models. This suite of ASHRAE Standard 90.1 prototype buildings covers all the Reference Building types except supermarket, and also adds a new building prototype representing high-rise apartment buildings.The prototype models include 16 building types in 17 climate locations for ASHRAE Standards 90.1-2004, 90.1-2007 and 90.1-2010. This combination leads to a set of 816 building models (in EnergyPlus Version 6.0). Also included is a scorecard for each prototype building. The scorecard is a spreadsheet that summarizes the

128

SUSY GUT Model Building  

E-Print Network (OSTI)

I discuss an evolution of SUSY GUT model building, starting with the construction of 4d GUTs, to orbifold GUTs and finally to orbifold GUTs within the heterotic string. This evolution is an attempt to obtain realistic string models, perhaps relevant for the LHC. This review is in memory of the sudden loss of Julius Wess, a leader in the field, who will be sorely missed.

Stuart Raby

2008-07-30T23:59:59.000Z

129

Building Energy Modeling  

Energy.gov (U.S. Department of Energy (DOE))

Building energy simulationphysics-based calculation of building energy consumptionis a multi-use tool for building energy efficiency.

130

Anomaly for Model Building  

E-Print Network (OSTI)

A simple algorithm to calculate the group theory factor entering in anomalies at four and six dimensions for SU(N) and SO(N) groups in terms of the Casimir invariants of their subgroups is presented. Explicit examples of some of the lower dimensional representations of $SU(n), n \\leq 5$ and SO(10) groups are presented, which could be used for model building in four and six dimensions.

Utpal Sarkar

2006-06-19T23:59:59.000Z

131

Building up a firm's commercialisation competence: from product concept to the first reference  

Science Journals Connector (OSTI)

This study examines the build-up of commercialisation competence when a firm moves from concept development to the first customer reference. During this period, substantial learning on commercialisation occurs as the firm develops an understanding of the fit between the business environment and the new product, which helps the firm improve its strategic marketing decisions. This process builds the innovator firm's commercialisation competence which makes it possible for the firm to succeed in acquiring the first reference. The study draws on the literature on innovation management concerning innovation competence, commercialisation of innovations, and reference marketing. Employing qualitative multiple case analysis, this study generates a dynamic model for commercialisation competence build-up and identifies strategic marketing, market preparation/creation and sales creation as key competence groups for commercialisation with a total of 14 sub-competences. The developed framework serves as a managerial tool to determine critical steps in commercialisation and the required commercialisation competences.

Leena Aarikka-Stenroos; Tuula Lehtimäki

2013-01-01T23:59:59.000Z

132

Model Building Energy Code  

Energy.gov (U.S. Department of Energy (DOE))

''Much of the information presented in this summary is drawn from the U.S. Department of Energys (DOE) Building Energy Codes Program and the Building Codes Assistance Project (BCAP). For more...

133

Commercial Buildings Sector Agent-Based Model | Open Energy Information  

Open Energy Info (EERE)

Commercial Buildings Sector Agent-Based Model Commercial Buildings Sector Agent-Based Model Jump to: navigation, search Tool Summary Name: Commercial Buildings Sector Agent-Based Model Agency/Company /Organization: Argonne National Laboratory Sector: Energy Focus Area: Buildings - Commercial Phase: Evaluate Options Topics: Implementation Resource Type: Technical report User Interface: Website Website: web.anl.gov/renewables/research/building_agent_based_model.html OpenEI Keyword(s): EERE tool, Commercial Buildings Sector Agent-Based Model Language: English References: Building Efficiency: Development of an Agent-based Model of the US Commercial Buildings Sector[1] Model the market-participants, dynamics, and constraints-help decide whether to adopt energy-efficient technologies to meet commercial building

134

Reference Buildings by Climate Zone and Representative City: 5A Chicago,  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Reference Buildings by Climate Zone and Representative City: 5A Reference Buildings by Climate Zone and Representative City: 5A Chicago, Illinois Reference Buildings by Climate Zone and Representative City: 5A Chicago, Illinois In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included. refbldg_5a_usa_il_chicago-ohare_post1980_v1.3_5.0.zip refbldg_5a_usa_il_chicago-ohare_post1980_v1-4_7-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 5B Boulder, Colorado Reference Buildings by Climate Zone and Representative City: 6A Minneapolis, Minnesota Reference Buildings by Climate Zone and Representative City: 6B Helena,

135

Reference Buildings by Climate Zone and Representative City: 4C Seattle,  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Reference Buildings by Climate Zone and Representative City: 4C Reference Buildings by Climate Zone and Representative City: 4C Seattle, Washington Reference Buildings by Climate Zone and Representative City: 4C Seattle, Washington In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included. refbldg_4c_usa_wa_seattle_new2004_v1.3_5.0.zip refbldg_4c_usa_wa_seattle_new2004_v1-4_7-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 4C Seattle, Washington Reference Buildings by Climate Zone and Representative City: 4C Seattle, Washington Reference Buildings by Climate Zone and Representative City: 2B Phoenix,

136

Noncommutative Standard Model: Model Building  

E-Print Network (OSTI)

A noncommutative version of the usual electro-weak theory is constructed. We discuss how to overcome the two major problems: 1) although we can have noncommutative U(n) (which we denote by $U_{\\star}(n)$) gauge theory we cannot have noncommutative SU(n) and 2) the charges in noncommutative QED are quantized to just $0, \\pm 1$. We show how the problem with charge quantization, as well as with the gauge group, can be resolved by taking $U_{\\star}(3)\\times U_{\\star}(2)\\times U_{\\star}(1)$ gauge group and reducing the extra U(1) factors in an appropriate way. Then we proceed with building the noncommutative version of the standard model by specifying the proper representations for the entire particle content of the theory, the gauge bosons, the fermions and Higgs. We also present the full action for the noncommutative Standard Model (NCSM). In addition, among several peculiar features of our model, we address the {\\it inherent} CP violation and new neutrino interactions.

M. Chaichian; P. Presnajder; M. M. Sheikh-Jabbari; A. Tureanu

2003-08-12T23:59:59.000Z

137

Model interoperability in building information modelling  

Science Journals Connector (OSTI)

The exchange of design models in the design and construction industry is evolving away from 2-dimensional computer-aided design (CAD) and paper towards semantically-rich 3-dimensional digital models. This approach, known as Building Information Modelling ... Keywords: Building Information Modelling, Interoperability

Jim Steel; Robin Drogemuller; Bianca Toth

2012-02-01T23:59:59.000Z

138

Better Buildings Neighborhood Program Business Models Guide:...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Guide: HVAC Contractor Business Model Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model HVAC contractor business model...

139

MODELING PASSIVE SOLAR BUILDINGS WITH HAND CALCULATIONS  

E-Print Network (OSTI)

and are inaccurate i n modeling buildings with large solarDivision Modeling Passive Solar Buildings with Hand8583 EEB-W-79-05 MODELING PASSIVE SOLAR BUILDINGS WITH HAND

Goldstein, David B.

2011-01-01T23:59:59.000Z

140

Transaction-Based Building Controls Framework, Volume 1: Reference Guide  

SciTech Connect

This document proposes a framework concept to achieve the objectives of raising buildings efficiency and energy savings potential benefitting building owners and operators. We call it a transaction-based framework, wherein mutually-beneficial and cost-effective market-based transactions can be enabled between multiple players across different domains. Transaction-based building controls are one part of the transactional energy framework. While these controls realize benefits by enabling automatic, market-based intra-building efficiency optimizations, the transactional energy framework provides similar benefits using the same market -based structure, yet on a larger scale and beyond just buildings, to the society at large.

Somasundaram, Sriram; Pratt, Robert G.; Akyol, Bora A.; Fernandez, Nicholas; Foster, Nikolas AF; Katipamula, Srinivas; Mayhorn, Ebony T.; Somani, Abhishek; Steckley, Andrew C.; Taylor, Zachary T.

2014-04-28T23:59:59.000Z

Note: This page contains sample records for the topic "reference building models" 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

Functional Testing Protocols for Commercial Building Efficiency Baseline Modeling Software  

E-Print Network (OSTI)

Commercial Building Efficiency Baseline Modeling SoftwareCommercial Building Efficiency Baseline Modeling Software ETCommercial Building Energy Baseline Modeling

Jump, David

2014-01-01T23:59:59.000Z

142

Sandia National Laboratories: Reference Model Project  

NLE Websites -- All DOE Office Websites (Extended Search)

is a partnered effort to develop marine hydrokinetic (MHK) reference models (RMs) for wave energy converters and tidal, ocean, and river current energy converters. The RMP team...

143

Autotune E+ Building Energy Models  

SciTech Connect

This paper introduces a novel Autotune methodology under development for calibrating building energy models (BEM). It is aimed at developing an automated BEM tuning methodology that enables models to reproduce measured data such as utility bills, sub-meter, and/or sensor data accurately and robustly by selecting best-match E+ input parameters in a systematic, automated, and repeatable fashion. The approach is applicable to a building retrofit scenario and aims to quantify the trade-offs between tuning accuracy and the minimal amount of ground truth data required to calibrate the model. Autotune will use a suite of machine-learning algorithms developed and run on supercomputers to generate calibration functions. Specifically, the project will begin with a de-tuned model and then perform Monte Carlo simulations on the model by perturbing the uncertain parameters within permitted ranges. Machine learning algorithms will then extract minimal perturbation combinations that result in modeled results that most closely track sensor data. A large database of parametric EnergyPlus (E+) simulations has been made publicly available. Autotune is currently being applied to a heavily instrumented residential building as well as three light commercial buildings in which a de-tuned model is autotuned using faux sensor data from the corresponding target E+ model.

New, Joshua Ryan [ORNL; Sanyal, Jibonananda [ORNL; Bhandari, Mahabir S [ORNL; Shrestha, Som S [ORNL

2012-01-01T23:59:59.000Z

144

Better Buildings Neighborhood Program: Business Model Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Business Model Business Model Resources to someone by E-mail Share Better Buildings Neighborhood Program: Business Model Resources on Facebook Tweet about Better Buildings Neighborhood Program: Business Model Resources on Twitter Bookmark Better Buildings Neighborhood Program: Business Model Resources on Google Bookmark Better Buildings Neighborhood Program: Business Model Resources on Delicious Rank Better Buildings Neighborhood Program: Business Model Resources on Digg Find More places to share Better Buildings Neighborhood Program: Business Model Resources on AddThis.com... Getting Started Assess the Market Establish Goals & Objectives Develop Plans of Action Business Model Resources Driving Demand Financing Workforce Development Business Model Resources Business Models Workshop and Materials

145

Portfolio Manager Technical Reference: Green Power | ENERGY STAR Buildings  

NLE Websites -- All DOE Office Websites (Extended Search)

Green Power Green Power Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories Target Finder Technical documentation

146

Comparison of Building Energy Modeling Programs: HVAC Systems  

E-Print Network (OSTI)

Comparison of Building Energy Modeling Programs: BuildingComparison of Building Energy Modeling Programs: HVACassumptions of three building energy modeling programs (

Zhou, Xin

2014-01-01T23:59:59.000Z

147

Property:Buildings/ModelBuildingType | Open Energy Information  

Open Energy Info (EERE)

Buildings/ModelBuildingType Buildings/ModelBuildingType Jump to: navigation, search This is a property of type Page. It links to pages that use the form Buildings Model. Education Food Sales Food Service Health Care (Inpatient) Health Care (Outpatient) Lodging Mercantile (Retail Other Than Mall) Mercantile (Enclosed and Strip Malls) Office Public Assembly Public Order and Safety Religious Worship Service Warehouse and Storage Other Vacant Pages using the property "Buildings/ModelBuildingType" Showing 12 pages using this property. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + Mercantile (Retail Other Than Mall) + General Merchandise 2009 TSD Chicago High Plug Load Baseline + Mercantile (Retail Other Than Mall) + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + Mercantile (Retail Other Than Mall) +

148

SIMMODEL: A DOMAIN DATA MODEL FOR WHOLE BUILDING ENERGY SIMULATION  

E-Print Network (OSTI)

2010) Commercial Buildings Energy Modeling Guidelines andrequirements for modeling of building geometry for energy

O'Donnell, James

2013-01-01T23:59:59.000Z

149

Archive Reference Buildings by Climate Zone: 3B Las Vegas, Nevada |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Las Vegas, Nevada Las Vegas, Nevada Archive Reference Buildings by Climate Zone: 3B Las Vegas, Nevada Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available. You can download ZIP files that contain the following: An EnergyPlus software input file (.idf) An html file showing the results from the EnergyPlus simulation (.html) A spreadsheet that summarizes the inputs and results for each location (.xls) The EnergyPlus TMY2 weather file (.epw). benchmark-v1.0_3.0-3b_nv_las_vegas.zip benchmark-v1.1_3.1-3b_usa_nv_las_vegas.zip benchmark-new-v1.2_4.0-3b_usa_nv_las_vegas.zip More Documents & Publications

150

Archive Reference Buildings by Climate Zone: 3C San Francisco, California |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

C San Francisco, C San Francisco, California Archive Reference Buildings by Climate Zone: 3C San Francisco, California Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available. You can download ZIP files that contain the following: An EnergyPlus software input file (.idf) An html file showing the results from the EnergyPlus simulation (.html) A spreadsheet that summarizes the inputs and results for each location (.xls) The EnergyPlus TMY2 weather file (.epw). benchmark-v1.0_3.0-3c_ca_san_francisco.zip benchmark-v1.1_3.1-3c_usa_ca_san_francisco.zip benchmark-new-v1.2_4.0-3c_usa_ca_san_francisco.zip

151

Archive Reference Buildings by Climate Zone: 4B Albuquerque, New Mexico |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

B Albuquerque, New B Albuquerque, New Mexico Archive Reference Buildings by Climate Zone: 4B Albuquerque, New Mexico Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available. You can download ZIP files that contain the following: An EnergyPlus software input file (.idf) An html file showing the results from the EnergyPlus simulation (.html) A spreadsheet that summarizes the inputs and results for each location (.xls) The EnergyPlus TMY2 weather file (.epw). benchmark-v1.0_3.0-4b_nm_albuquerque.zip benchmark-v1.1_3.1-4b_usa_nm_albuquerque.zip benchmark-new-v1.2_4.0-4b_usa_nm_albuquerque.zip

152

Archive Reference Buildings by Climate Zone: 1A Miami, Florida | Department  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

1A Miami, Florida 1A Miami, Florida Archive Reference Buildings by Climate Zone: 1A Miami, Florida Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available. You can download ZIP files that contain the following: An EnergyPlus software input file (.idf) An html file showing the results from the EnergyPlus simulation (.html) A spreadsheet that summarizes the inputs and results for each location (.xls) The EnergyPlus TMY2 weather file (.epw). benchmark-v1.0_3.0-1a_fl_miami.zip benchmark-v1.1_3.1-1a_usa_fl_miami.zip benchmark-new-v1.2_4.0-1a_usa_fl_miami.zip More Documents & Publications

153

Archive Reference Buildings by Climate Zone: 2A Houston, Texas | Department  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

A Houston, Texas A Houston, Texas Archive Reference Buildings by Climate Zone: 2A Houston, Texas Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available. You can download ZIP files that contain the following: An EnergyPlus software input file (.idf) An html file showing the results from the EnergyPlus simulation (.html) A spreadsheet that summarizes the inputs and results for each location (.xls) The EnergyPlus TMY2 weather file (.epw). benchmark-v1.0_3.0-2a_tx_houston.zip benchmark-v1.1_3.1-2a_usa_tx_houston.zip benchmark-new-v1.2_4.0-2a_usa_tx_houston.zip More Documents & Publications

154

Generic TriBITS PRoject, Build, Test, and Install Quick Reference...  

NLE Websites -- All DOE Office Websites (Extended Search)

Generic TriBITS PRoject, Build, Test, and Install Quick Reference Guide Ross Bartlett Oak Ridge National Laboratory CASL-U-2014-0075-000-a CASL-U-2014-0075-000-a Generic TriBITS...

155

Virtual building environments (VBE) - Applying information modeling tobuildings  

E-Print Network (OSTI)

and valuation of Virtual Building Modeling (VBM). CIFE SEEDinformation models Building information modeling (BIM), usedto promote building information modeling as the way to

Bazjanac, Vladimir

2004-01-01T23:59:59.000Z

156

Reference Modeling for Inter-organizational Systems  

E-Print Network (OSTI)

to gain efficiency in the modeling process and a higher quality of inter-organizational solutions. 1Reference Modeling for Inter-organizational Systems Dieter Mayrhofer Institute of Software@big.tuwien.ac.at Abstract. Inter-organizational business process models are created and used by different partner networks

157

Better Buildings Neighborhood Program Business Models Guide:...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Guide: Utility Program Administrator Market Better Buildings Neighborhood Program Business Models Guide: Utility Program Administrator Market Utility program administrator market...

158

Modeling of Residential Buildings and Heating Systems  

E-Print Network (OSTI)

-zone building model is used in each case. A model of the heating system is also used for the multi-storey building. Both co-heating and tracer gas measurements are used in order to adjust the parameters of each building model. A complete monitoring...

Masy, G.; Lebrun, J.

2004-01-01T23:59:59.000Z

159

The Mathematics of the Models of Reference  

Science Journals Connector (OSTI)

The Mathematics of the Models of Reference is a detailed exposition of the modeling of physical and informational reality pursued by iLabs Milan ( www.ilabs.it ), a private research lab in applied Artificial Intelligence. Based on an original approach ...

Francesco Berto; Gabriele Rossi; Jacopo Tagliabue

2010-07-01T23:59:59.000Z

160

Retrofit Energy Savings Estimation Model Reference Manual  

E-Print Network (OSTI)

Retrofit Energy Savings Estimation Model Reference Manual #12;#12;Retrofit Energy Savings commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does from the Department of Energy. Any conclusions or opinions expressed in this manual represent solely

Note: This page contains sample records for the topic "reference building models" 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

Building Energy Modeling Library - 2013 BTO Peer Review | Department...  

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

Energy Modeling Library - 2013 BTO Peer Review Building Energy Modeling Library - 2013 BTO Peer Review Commercial Buildings Integration Project for the 2013 Building Technologies...

162

MODELING COUNT DATA FROM MULTIPLE SENSORS: A BUILDING OCCUPANCY MODEL  

E-Print Network (OSTI)

MODELING COUNT DATA FROM MULTIPLE SENSORS: A BUILDING OCCUPANCY MODEL Jon Hutchins, Alexander Ihler a probabilistic model for predict- ing the occupancy of a building using networks of people-counting sensors-sensor probabilistic model for building occupancy. Inference for the oc- cupancy model follows in Section 4

Smyth, Padhraic

163

MODELING COUNT DATA FROM MULTIPLE SENSORS: A BUILDING OCCUPANCY MODEL  

E-Print Network (OSTI)

MODELING COUNT DATA FROM MULTIPLE SENSORS: A BUILDING OCCUPANCY MODEL Jon Hutchins, Alexander Ihler a probabilistic model for predict­ ing the occupancy of a building using networks of people­counting sensors­sensor probabilistic model for building occupancy. Inference for the oc­ cupancy model follows in Section 4

Ihler, Alexander

164

Better Buildings Neighborhood Program Business Models Guide  

Energy.gov (U.S. Department of Energy (DOE))

Uses lessons learned from Better Buildings grantees, existing data, and private sector insights to highlight business models that can help develop a sustainable residential energy efficiency market.

165

Building Technologies Office: Energy Modeling Software  

NLE Websites -- All DOE Office Websites (Extended Search)

Modeling Software Modeling Software Information from energy simulation software is critical in the design of energy-efficient commercial buildings. The tools listed on this page are the product of Commercial Buildings Integration Program (CBI) research and are used in modeling current CBI projects. Modeling helps architects and building designers quickly identify the most cost-effective and energy-saving measures. Graphic of the EnergyPlus software logo. EnergyPlus - An award-winning new-generation building energy simulation program from the creators of BLAST and DOE-2. EnergyPlus models heating, cooling, lighting, ventilating, water, and other energy flows in buildings. OpenStudio - A free plugin for the SketchUp 3D drawing program. The plugin makes it easy to create and edit the building geometry in your EnergyPlus input files.

166

NREL's Building Component Library for Use with Energy Models  

DOE Data Explorer (OSTI)

The Building Component Library (BCL) is the U.S. Department of Energys comprehensive online searchable library of energy modeling building blocks and descriptive metadata. Novice users and seasoned practitioners can use the freely available and uniquely identifiable components to create energy models and cite the sources of input data, which will increase the credibility and reproducibility of their simulations. The BCL contains components which are the building blocks of an energy model. They can represent physical characteristics of the building such as roofs, walls, and windows, or can refer to related operational information such as occupancy and equipment schedules and weather information. Each component is identified through a set of attributes that are specific to its type, as well as other metadata such as provenance information and associated files. The BCL also contains energy conservation measures (ECM), referred to as measures, which describe a change to a building and its associated model. For the BCL, this description attempts to define a measure for reproducible application, either to compare it to a baseline model, to estimate potential energy savings, or to examine the effects of a particular implementation. The BCL currently contains more than 30,000 components and measures. A faceted search mechanism has been implemented on the BCL that allows users to filter through the search results using various facets. Facet categories include component and measure types, data source, and energy modeling software type. All attributes of a component or measure can also be used to filter the results.

167

DOE Commercial Building Benchmark Models: Preprint  

SciTech Connect

To provide a consistent baseline of comparison and save time conducting such simulations, the U.S. Department of Energy (DOE) has developed a set of standard benchmark building models. This paper will provide an executive summary overview of these benchmark buildings, and how they can save building analysts valuable time. Fully documented and implemented to use with the EnergyPlus energy simulation program, the benchmark models are publicly available and new versions will be created to maintain compatibility with new releases of EnergyPlus. The benchmark buildings will form the basis for research on specific building technologies, energy code development, appliance standards, and measurement of progress toward DOE energy goals. Having a common starting point allows us to better share and compare research results and move forward to make more energy efficient buildings.

Torcelini, P.; Deru, M.; Griffith, B.; Benne, K.; Halverson, M.; Winiarski, D.; Crawley, D. B.

2008-07-01T23:59:59.000Z

168

Handling model uncertainty in model predictive control for energy efficient buildings  

E-Print Network (OSTI)

to apply to other building modeling practices. 2. Wemodel 3.1. Mathematical modeling Building models proposed inMore details of building thermal modeling and estimation of

Maasoumy, Mehdi; Razmara, M; Shahbakhti, M; Sangiovanni-Vincentelli, Alberto

2014-01-01T23:59:59.000Z

169

Selecting Building Predictive Control Based on Model Uncertainty  

E-Print Network (OSTI)

S. Pr?vara et al. Building Modeling as a Crucial Part forThe details of building thermal modeling and estimation ofModeling and Optimal Control Algorithm Design for HVAC Systems in Energy Efficient Buildings.

Maasoumy, Mehdi

2014-01-01T23:59:59.000Z

170

Model Simulating Real Domestic Hot Water Use - Building America...  

Energy Savers (EERE)

Model Simulating Real Domestic Hot Water Use - Building America Top Innovation Model Simulating Real Domestic Hot Water Use - Building America Top Innovation Image of a pipe...

171

Thermal building simulation and computer generation of nodal models  

E-Print Network (OSTI)

Thermal building simulation and computer generation of nodal models H. BOYER, J.P. CHABRIAT, B exchanges and finally in the constitution of thermal state models of the building. Big variations existing from one building to another, it's necessary to build the thermal model from the building description

Paris-Sud XI, Université de

172

Image-based building modeling.  

E-Print Network (OSTI)

??Image-based modeling is the process of converting 2D images of the real world into digital 3D models in computer. Among myriad kinds of objects in (more)

Xiao, Jianxiong

2009-01-01T23:59:59.000Z

173

Modeling distributed generation in the buildings sectors  

Gasoline and Diesel Fuel Update (EIA)

Modeling distributed generation Modeling distributed generation in the buildings sectors August 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Modeling distributed generation in the buildings sectors i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies. July 2013 U.S. Energy Information Administration | Modeling distributed generation in the buildings sectors 1

174

Adaptive HVAC zone modeling for sustainable buildings  

Science Journals Connector (OSTI)

Control of energy flows within a building is critical to achieving optimal performance of heating, ventilation and air-conditioning (HVAC) systems. To design optimal HVAC control strategies, a dynamic model of the HVAC system particularly the building zones that it services is essential. As analysis of building energy consumption is facilitated by the accurate prediction of indoor environmental conditions, techniques that dynamically model HVAC zones are crucial, and as such, is an active area of research. This paper focuses on real-time HVAC zone model fitting and prediction techniques based on physical principles, as well as the use of genetic algorithms for optimization. The proposed approach is validated by comparing real-time HVAC zone model fitting and prediction against the corresponding experimental measurements. In addition, comparison with prediction results using an algorithm based on feedback-delayed Kalman filters has demonstrated the superiority of the proposed approach in terms of prediction accuracy.

Glenn Platt; Jiaming Li; Ronxin Li; Geoff Poulton; Geoff James; Josh Wall

2010-01-01T23:59:59.000Z

175

Impact of the U.S. National Building Information Model Standard (NBIMS) on Building Energy Performance Simulation  

E-Print Network (OSTI)

data base and building modeling that will enable comparativeApplying Information Modeling to Buildings, in A. Dikba?

Bazjanac, Vladimir

2008-01-01T23:59:59.000Z

176

Model Policies | Building Energy Codes Program  

NLE Websites -- All DOE Office Websites (Extended Search)

Center Center Site Map Printable Version Development Adoption Compliance Regulations Resource Center FAQs Publications Resource Guides eLearning Model Policies Glossary Related Links ACE Learning Series Utility Savings Estimators Model Policies States and local jurisdictions across the nation have demonstrated leadership in developing programs and policies that both encourage and require compliance with energy codes, stretch codes (e.g., above-minimum codes) and green building techniques, energy-efficiency practices, and environmentally-friendly procedures. The laws and regulations behind these programs and policies can help states and jurisdictions establish unique policies to address their particular needs. Model policies for residential and commercial building construction have

177

Model Predictive Control for Energy Efficient Buildings  

E-Print Network (OSTI)

Building thermal loadThe building thermal load predictor. . . . . . . .of Figures 1.1 Classification schematic for building MPC

Ma, Yudong

2012-01-01T23:59:59.000Z

178

Supersymmetric Model Building (and Sweet Spot Supersymmetry)  

E-Print Network (OSTI)

It has been more than twenty years since theorists started discussing supersymmetric model building/phenomenology. We review mechanisms of supersymmetry breaking/mediation and problems in each scenario. We propose a simple model to address those problems and discuss its phenomenology.

Masahiro Ibe; Ryuichiro Kitano

2007-12-19T23:59:59.000Z

179

Model building techniques for analysis.  

SciTech Connect

The practice of mechanical engineering for product development has evolved into a complex activity that requires a team of specialists for success. Sandia National Laboratories (SNL) has product engineers, mechanical designers, design engineers, manufacturing engineers, mechanical analysts and experimentalists, qualification engineers, and others that contribute through product realization teams to develop new mechanical hardware. The goal of SNL's Design Group is to change product development by enabling design teams to collaborate within a virtual model-based environment whereby analysis is used to guide design decisions. Computer-aided design (CAD) models using PTC's Pro/ENGINEER software tools are heavily relied upon in the product definition stage of parts and assemblies at SNL. The three-dimensional CAD solid model acts as the design solid model that is filled with all of the detailed design definition needed to manufacture the parts. Analysis is an important part of the product development process. The CAD design solid model (DSM) is the foundation for the creation of the analysis solid model (ASM). Creating an ASM from the DSM currently is a time-consuming effort; the turnaround time for results of a design needs to be decreased to have an impact on the overall product development. This effort can be decreased immensely through simple Pro/ENGINEER modeling techniques that summarize to the method features are created in a part model. This document contains recommended modeling techniques that increase the efficiency of the creation of the ASM from the DSM.

Walther, Howard P.; McDaniel, Karen Lynn; Keener, Donald; Cordova, Theresa Elena; Henry, Ronald C.; Brooks, Sean; Martin, Wilbur D.

2009-09-01T23:59:59.000Z

180

Building an MLR Model Building a multiple linear regression (MLR) model from data is one of the  

E-Print Network (OSTI)

Chapter 3 Building an MLR Model Building a multiple linear regression (MLR) model from data is one- imation to the data can be difficult. Model building is an iterative process. Given the problem and data but no model, the model building process can often be aided by graphs that help visualize the relationships

Olive, David

Note: This page contains sample records for the topic "reference building models" 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

* Corresponding author. AN INTERACTIVE SCHEME FOR BUILDING MODELING USING THE  

E-Print Network (OSTI)

* Corresponding author. AN INTERACTIVE SCHEME FOR BUILDING MODELING USING THE SPLIT modeling is the 3D building model. It is essential in many applications, such as 3D GIS, cyber city, true-orthophoto generation, etc. Due to the huge demand of 3D building model, an effective solution for geometrical building

Salvaggio, Carl

182

Report on High Performance Building's Energy Modeling, Physical Building Information Modeling for Solar Building Design and Simulation  

E-Print Network (OSTI)

This report was created for the National Science Foundation-Physical Building Information Modeling (NSF-PBIM) project. This report describes the analysis of a solar office building using the following software: the legacy tools (DOE 2.1e, the F...

Alcocer, J.; Haberl, J. S.

2012-01-01T23:59:59.000Z

183

Property:Buildings/Models | Open Energy Information  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:Buildings/Models Jump to: navigation, search This is a property of type Page. It links to pages that use the form Buildings Publication. Pages using the property "Buildings/Models" Showing 2 pages using this property. G General Merchandise 50% Energy Savings Technical Support Document 2009 + General Merchandise 2009 TSD Chicago High Plug Load Baseline +, General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings +, General Merchandise 2009 TSD Chicago Low Plug Load Baseline +, ... Grocery Store 50% Energy Savings Technical Support Document 2009 + Grocery 2009 TSD Chicago Baseline +, Grocery 2009 TSD Chicago 50% Energy Savings +, Grocery 2009 TSD Miami Baseline +, ...

184

Sandia National Laboratories: DOE-Sponsored Reference Model Project...  

NLE Websites -- All DOE Office Websites (Extended Search)

is a partnered effort to develop marine hydrokinetic (MHK) reference models (RMs) for wave energy converters and tidal, ocean, and river current energy converters. The RMP team...

185

A model and framework for reliable build systems Derrick Coetzee  

E-Print Network (OSTI)

A model and framework for reliable build systems Derrick Coetzee Anand Bhaskar George Necula, requires prior specific permission. #12;A model and framework for reliable build systems Derrick Coetzee- distributed, incremental, parallel build systems. We de- fine a general model for resources accessed by build

Necula, George

186

Scripted Building Energy Modeling and Analysis (Presentation)  

SciTech Connect

Building energy analysis is often time-intensive, error-prone, and non-reproducible. Entire energy analyses can be scripted end-to-end using the OpenStudio Ruby API. Common tasks within an analysis can be automated using OpenStudio Measures. Graphical user interfaces (GUI's) and component libraries reduce time, decrease errors, and improve repeatability in energy modeling.

Macumber, D.

2012-10-01T23:59:59.000Z

187

Category:Building Models | Open Energy Information  

Open Energy Info (EERE)

Models Models Jump to: navigation, search This category uses the form Buildings Model. Pages in category "Building Models" The following 12 pages are in this category, out of 12 total. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings General Merchandise 2009 TSD Chicago High Plug Load Baseline General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings General Merchandise 2009 TSD Chicago Low Plug Load Baseline G cont. General Merchandise 2009 TSD Miami High Plug Load 50% Energy Savings General Merchandise 2009 TSD Miami High Plug Load Baseline General Merchandise 2009 TSD Miami Low Plug Load 50% Energy Savings General Merchandise 2009 TSD Miami Low Plug Load Baseline G cont. Grocery 2009 TSD Chicago 50% Energy Savings Grocery 2009 TSD Chicago Baseline

188

Sandia National Laboratories: Reference Model 3  

NLE Websites -- All DOE Office Websites (Extended Search)

3 Sandia, NREL Release Wave Energy Converter Modeling and Simulation Code: WEC-Sim On July 29, 2014, in Computational Modeling & Simulation, Energy, News, News & Events,...

189

Preview Draft References for Modeling the Environment  

E-Print Network (OSTI)

River, NJ, Prentice Hall. Claussen, M and multiple co-autors. 2000. Earth system models of intermediate

Ford, Andrew

190

Physical Building Information Modeling for Solar Building Design and Simulation- Annual Report 2011  

E-Print Network (OSTI)

implementing this data modeling structure. 1.3 Research on linking BIM-OOPM (Object-Oriented Physical Modeling) and integrating P-BIM (Physical BIM) We reviewed extensively a Modelica-based building thermal library and its example models (LBL Modelica... thermal, we have researched on how to model building objects in Object-Oriented Equation-Based modeling language Modelica by using the LBL Modelica Buildings Library (Lawrence Berkeley National Laboratory, 2011). We have identified modeling methods...

Yan, W.; Haberl, J.; Clayton, M.; Jeong, W.; Kim, J.; Kota, S.; Alcocer, J.; Dixit, M.

2011-01-01T23:59:59.000Z

191

A detailed loads comparison of three building energy modeling programs:  

NLE Websites -- All DOE Office Websites (Extended Search)

detailed loads comparison of three building energy modeling programs: detailed loads comparison of three building energy modeling programs: EnergyPlus, DeST and DOE-2.1E Title A detailed loads comparison of three building energy modeling programs: EnergyPlus, DeST and DOE-2.1E Publication Type Journal Year of Publication 2013 Authors Zhu, Dandan, Tianzhen Hong, Da Yan, and Chuang Wang Date Published 05/2013 Keywords building energy modeling program, building thermal loads, comparison, dest, DOE-2.1E, energyplus Abstract Building energy simulation is widely used to help design energy efficient building envelopes and HVAC systems, develop and demonstrate compliance of building energy codes, and implement building energy rating programs. However, large discrepancies exist between simulation results from different building energy modeling programs (BEMPs). This leads many users and stakeholders

192

Model Predictive Control for Energy Efficient Buildings  

E-Print Network (OSTI)

feedback control. Green buildings are expected to maintainHigh-performance green buildings are expected to maintain

Ma, Yudong

2012-01-01T23:59:59.000Z

193

References  

Science Journals Connector (OSTI)

......dosimeter: An improved cathode ray determination...Stopping Powers of Materials (1989) Gaithersburg...of the physically active ultraviolet (which...Standard Reference Materials: Accuracy in Analytical...dosimeter: An improved cathode ray determination...Stopping Powers of Materials, NIST Standard......

References

2008-12-01T23:59:59.000Z

194

Honest Buildings | Open Energy Information  

Open Energy Info (EERE)

Honest Buildings Honest Buildings Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Honest Buildings Agency/Company /Organization: Honest Buildings Sector: Energy Focus Area: Buildings Resource Type: Software/modeling tools User Interface: Website Website: www.honestbuildings.com/ Web Application Link: www.honestbuildings.com/ Cost: Free Honest Buildings Screenshot References: Honest Buildings[1] Logo: Honest Buildings Honest Buildings is a software platform focused on buildings. It brings together building service providers, occupants, owners, and other stakeholders onto a single portal to exchange information, offerings, and needs. It provides a voice for everyone who occupies buildings, works with buildings, and owns buildings globally to comment, display projects, and

195

Scripted Building Energy Modeling and Analysis: Preprint  

SciTech Connect

Building energy modeling and analysis is currently a time-intensive, error-prone, and nonreproducible process. This paper describes the scripting platform of the OpenStudio tool suite (http://openstudio.nrel.gov) and demonstrates its use in several contexts. Two classes of scripts are described and demonstrated: measures and free-form scripts. Measures are small, single-purpose scripts that conform to a predefined interface. Because measures are fairly simple, they can be written or modified by inexperienced programmers.

Hale, E.; Macumber, D.; Benne, K.; Goldwasser, D.

2012-08-01T23:59:59.000Z

196

Functional Testing Protocols for Commercial Building Efficiency Baseline Modeling Software  

SciTech Connect

This document describes procedures for testing and validating proprietary baseline energy modeling software accuracy in predicting energy use over the period of interest, such as a month or a year. The procedures are designed according to the methodology used for public domain baselining software in another LBNL report that was (like the present report) prepared for Pacific Gas and Electric Company: ?Commercial Building Energy Baseline Modeling Software: Performance Metrics and Method Testing with Open Source Models and Implications for Proprietary Software Testing Protocols? (referred to here as the ?Model Analysis Report?). The test procedure focuses on the quality of the software?s predictions rather than on the specific algorithms used to predict energy use. In this way the software vendor is not required to divulge or share proprietary information about how their software works, while enabling stakeholders to assess its performance.

Jump, David; Price, Phillip N.; Granderson, Jessica; Sohn, Michael

2013-09-06T23:59:59.000Z

197

References  

NLE Websites -- All DOE Office Websites (Extended Search)

Analysis Analysis Analysis - Home Analytical Dashboards Computerized Accident Incident Reporting and Recordkeeping System (CAIRS) Corporate Safety Analysis Trends Daily Occurrence Reports Electrical Safety Occurrences Final Occurrence Reports Access System Login Lessons Learned and Best Practices Occurrence Reporting and Processing System (ORPS) Operating Experience Committee Operating Experience Level 1, 2, and 3 Documents Operating Experience Summaries Radiation Exposure Monitoring Systems (REMS) Safety Bulletins Safety and Health Alerts Safety Basis Information System (SBIS) Suspect/Counterfeit Items and Defective Items (SCI/DI) References HSS Logo References DOE O 210.2A, DOE Corporate Operating Experience Program (Apr 08, 2011) DOE O 210.2 Crosswalk DOE O 231.1B, Environment, Safety and Health Reporting (Jun 27, 2011)

198

Methodology for Modeling Building Energy Performance across the Commercial Sector  

SciTech Connect

This report uses EnergyPlus simulations of each building in the 2003 Commercial Buildings Energy Consumption Survey (CBECS) to document and demonstrate bottom-up methods of modeling the entire U.S. commercial buildings sector (EIA 2006). The ability to use a whole-building simulation tool to model the entire sector is of interest because the energy models enable us to answer subsequent 'what-if' questions that involve technologies and practices related to energy. This report documents how the whole-building models were generated from the building characteristics in 2003 CBECS and compares the simulation results to the survey data for energy use.

Griffith, B.; Long, N.; Torcellini, P.; Judkoff, R.; Crawley, D.; Ryan, J.

2008-03-01T23:59:59.000Z

199

Markovian Models for Electrical Load Prediction in Smart Buildings  

E-Print Network (OSTI)

Markovian Models for Electrical Load Prediction in Smart Buildings Muhammad Kumail Haider, Asad,13100004,ihsan.qazi}@lums.edu.pk Abstract. Developing energy consumption models for smart buildings is important develop parsimo- nious Markovian models of smart buildings for different periods in a day for predicting

California at Santa Barbara, University of

200

Performance and Optimization of Network Building Evacuation Models  

E-Print Network (OSTI)

Performance and Optimization of Network Building Evacuation Models Andrea Weiss, Dr. Jim Mac/G/C/C queues, a simulation program was used to model two buildings on the Umass Amherst campus: Machmer Hall expedient paths are taken. Research Objectives · Create a realistic model of buildings with large

Mountziaris, T. J.

Note: This page contains sample records for the topic "reference building models" 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

A Model-Based Method For Building Reconstruction Konrad Schindler  

E-Print Network (OSTI)

A Model-Based Method For Building Reconstruction Konrad Schindler Graz University of Technology with predefined shape templates in or- der to automatically recover a CAD-like model of the build- ing surface specifically, the building model delivered by a dig- ital reconstruction system should be a structured surface

Schindler, Konrad

202

Modelling tunnelling-induced settlement of masonry buildings  

E-Print Network (OSTI)

Modelling tunnelling-induced settlement of masonry buildings H. J. Burd, MA DPhil, G. T. Houlsby in which green®eld settlements are imposed on a structual model of the build- ing. This process ignores on a structural model of the building to obtain an assessment of the expected damage. Burland and Wroth1 described

Augarde, Charles

203

Lattice chain models for ane buildings of classical type  

E-Print Network (OSTI)

Lattice chain models for a?ne buildings of classical type Peter Abramenko #3; y and Gabriele Nebe z Abstract. A concrete lattice chain model for the buildings of the classical groups over non archimedean of this type is the model of the a?ne building associated to SL n (D), where we denote by D a discretely

Bielefeld, University of

204

3457, Page, 1 Coupled CFD/Building Envelope Model  

E-Print Network (OSTI)

Performance Buildings Conference at Purdue, 2012 (Accepted) #12;3457, Page, 2 a standard model for a single3457, Page, 1 Coupled CFD/Building Envelope Model for the Purdue Living Lab Donghun KIM (kim1077 features. In the present case we develop a procedure for coupling a building envelope model to a CFD

Gugercin, Serkan

205

Dialog model development of a mobile information and reference robot  

Science Journals Connector (OSTI)

We analyze the range of problems that arise in the development of information and reference robots. A model of intelligent direction of a mobile information system on the basis of multimodal interface, providing natural man-machine interaction, is suggested. ...

V. Budkov; M. Prishchepa; A. Ronzhin

2011-09-01T23:59:59.000Z

206

Building a Statistical Model toBuilding a Statistical Model to Predict Reactor TemperaturesPredict Reactor Temperatures  

E-Print Network (OSTI)

Building a Statistical Model toBuilding a Statistical Model to Predict Reactor Temperatures.scarrott@lancaster.ac.uk g.tunnicliffe-wilson@lancaster.ac.uk #12;OutlineOutline l Objectives l Data l Statistical Model l temperatures ­ Physical model ­ Statistical model l How to identify and model physical effects? l How to model

Scarrott, Carl

207

REFERENCES  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

205.1B 205.1B Approved 05-16-2011 Page 1 REFERENCES 1. INTRODUCTION 2. . Includes a list of sources cited in the directive and additional information sources to assist in implementing DOE Order 205.1B, Cyber Security Program. FEDERAL LAWS AND REGULATIONS a. Public Law (P.L.) 93-579, Privacy Act of 1974, as amended [Title 5 United States Code (U.S.C.) Section 552a]. . b. P.L. 104-106, Division E, Clinger Cohen Act (CCA) (formerly Information Technology Management Reform Act of 1996. c. P.L. 106-65, "National Defense Authorization Act [Section 3212(d)], enacted October 1999. d. P.L. 107-347, Title III, Federal Information Security Management Act of 2002 (FISMA), enacted December 2002. 3. OFFICE OF MANAGEMENT AND BUDGET (OMB) CIRCULARS. Located at http://www.whitehouse.gov/omb/circulars_default/.

208

Whole Building Energy Simulation  

Energy.gov (U.S. Department of Energy (DOE))

Whole building energy simulation, also referred to as energy modeling, can and should be incorporated early during project planning to provide energy impact feedback for which design considerations...

209

Modeling of Heat Transfer in Rooms in the Modelica Buildings Library  

E-Print Network (OSTI)

The Future of Building System Modeling and Simulation ofequation-based modeling languages in the building simulationModeling of Heat Transfer in Rooms in the Modelica Buildings

Wetter, Michael

2013-01-01T23:59:59.000Z

210

Seismic Performance, Modeling, and Failure Assessment of Reinforced Concrete Shear Wall Buildings  

E-Print Network (OSTI)

22 Modeling of Building23 Modeling of Building1.0 GA g 2.2.7. Modeling of Building 2A The 3-D nonlinear

Tuna, Zeynep

2012-01-01T23:59:59.000Z

211

Partition wall subsystem modeling and effect on the coupled building system response  

E-Print Network (OSTI)

Building Design and Modeling baseline. 5.3 Building Design and Modeling Three reinforcedthe bare building (no wall), the modeling efforts neglected

Wood, Richard Lee

2012-01-01T23:59:59.000Z

212

building | OpenEI  

Open Energy Info (EERE)

building building Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (7 months ago) Date Updated July 02nd, 2013 (5 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

213

Archived Reference Climate Zone: 7 Duluth, Minnesota  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

214

Archived Reference Climate Zone: 8 Fairbanks, Alaska  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

215

"Performance and Optimization of Building Evacuation Models" Andrea Weiss  

E-Print Network (OSTI)

"Performance and Optimization of Building Evacuation Models" Andrea Weiss Faculty Mentor: Dr. James in ensuring safety of individuals inside a building. In order to determine the most efficient paths, models that can be made when representing a building. By breaking the rooms and hallways into smaller sections

Mountziaris, T. J.

216

Identification of parameters in building concentration dispersion model  

E-Print Network (OSTI)

1 Identification of parameters in building concentration dispersion model D. Calogine*,1 , H. Boyer, 17, 11, 20] use macroscopic models, which represent room or entire building by a single node Abstract The aim of this work is to simulate the pollutants transport in buildings. Focusing mainly

Paris-Sud XI, Université de

217

An indoor??outdoor building energy simulator to study urban modification effects on building energy use ?? Model description and validation  

E-Print Network (OSTI)

DifferenceThermal Modeling,BuildingandEnvironment20(required in building energy modeling (one year). Bouyer etenergymodelingofindividualbuildingsandurbancanopies,

Yaghoobian, Neda; Kleissl, Jan

2012-01-01T23:59:59.000Z

218

Towards a Very Low Energy Building Stock: Modeling the U.S. Commercial Building Sector to Support Policy and Innovation Planning  

E-Print Network (OSTI)

a Very Low Energy Building Stock: Modeling the US Commercialof questions. The building stock modeling work outlined indetailed modeling of individual buildings). Beyond meeting

Coffey, Brian

2010-01-01T23:59:59.000Z

219

Development of discrete event system specification (DEVS) building performance models for building energy design  

Science Journals Connector (OSTI)

The discrete event system specification (DEVS) is a formalism for describing simulation models in a modular fashion. In this study, it is exploited by forming submodels that allow different professions involved in the building design process to work ... Keywords: DEVS, energy simulation in building design, modular BPS, stochastic occupant models

Huseyin Burak Gunay; Liam O'Brien; Rhys Goldstein; Simon Breslav; Azam Khan

2013-04-01T23:59:59.000Z

220

Nicaragua-Low-Carbon Energy for Central America: Building a Regional Model  

Open Energy Info (EERE)

Nicaragua-Low-Carbon Energy for Central America: Building a Regional Model Nicaragua-Low-Carbon Energy for Central America: Building a Regional Model Jump to: navigation, search Name Nicaragua-Low-Carbon Energy for Central America: Building a Regional Model Agency/Company /Organization World Watch Institute Sector Energy Focus Area Renewable Energy Topics Background analysis, Implementation, Low emission development planning, Policies/deployment programs Website http://www.worldwatch.org/node Country Nicaragua Central America References Low-Carbon Energy for Central America: Building a Regional Model[1] Overview "This project will design a unified low-carbon development strategy for Central America through the use of renewable energy and energy efficiency maps, followed by technical, economic, and social feasibility studies for

Note: This page contains sample records for the topic "reference building models" 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

Low-Carbon Energy for Central America: Building a Regional Model | Open  

Open Energy Info (EERE)

Low-Carbon Energy for Central America: Building a Regional Model Low-Carbon Energy for Central America: Building a Regional Model Jump to: navigation, search Name Low-Carbon Energy for Central America: Building a Regional Model Agency/Company /Organization World Watch Institute Sector Energy Focus Area Renewable Energy Topics Background analysis, Implementation, Low emission development planning, Policies/deployment programs Website http://www.worldwatch.org/node Country Belize, Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, Panama Central America, Central America, Central America, Central America, Central America, Central America, Central America References Low-Carbon Energy for Central America: Building a Regional Model[1] Overview "This project will design a unified low-carbon development strategy for

222

Honduras-Low-Carbon Energy for Central America: Building a Regional Model |  

Open Energy Info (EERE)

Honduras-Low-Carbon Energy for Central America: Building a Regional Model Honduras-Low-Carbon Energy for Central America: Building a Regional Model Jump to: navigation, search Name Honduras-Low-Carbon Energy for Central America: Building a Regional Model Agency/Company /Organization World Watch Institute Sector Energy Focus Area Renewable Energy Topics Background analysis, Implementation, Low emission development planning, Policies/deployment programs Website http://www.worldwatch.org/node Country Honduras Central America References Low-Carbon Energy for Central America: Building a Regional Model[1] Overview "This project will design a unified low-carbon development strategy for Central America through the use of renewable energy and energy efficiency maps, followed by technical, economic, and social feasibility studies for

223

Belize-Low-Carbon Energy for Central America: Building a Regional Model |  

Open Energy Info (EERE)

Belize-Low-Carbon Energy for Central America: Building a Regional Model Belize-Low-Carbon Energy for Central America: Building a Regional Model Jump to: navigation, search Name Belize-Low-Carbon Energy for Central America: Building a Regional Model Agency/Company /Organization World Watch Institute Sector Energy Focus Area Renewable Energy Topics Background analysis, Implementation, Low emission development planning, Policies/deployment programs Website http://www.worldwatch.org/node Country Belize Central America References Low-Carbon Energy for Central America: Building a Regional Model[1] Overview "This project will design a unified low-carbon development strategy for Central America through the use of renewable energy and energy efficiency maps, followed by technical, economic, and social feasibility studies for

224

Costa Rica-Low-Carbon Energy for Central America: Building a Regional Model  

Open Energy Info (EERE)

Costa Rica-Low-Carbon Energy for Central America: Building a Regional Model Costa Rica-Low-Carbon Energy for Central America: Building a Regional Model Jump to: navigation, search Name Costa-Rica-Low-Carbon Energy for Central America: Building a Regional Model Agency/Company /Organization World Watch Institute Sector Energy Focus Area Renewable Energy Topics Background analysis, Implementation, Low emission development planning, Policies/deployment programs Website http://www.worldwatch.org/node Country Costa Rica Central America References Low-Carbon Energy for Central America: Building a Regional Model[1] Overview "This project will design a unified low-carbon development strategy for Central America through the use of renewable energy and energy efficiency maps, followed by technical, economic, and social feasibility studies for

225

Guatemala-Low-Carbon Energy for Central America: Building a Regional Model  

Open Energy Info (EERE)

Guatemala-Low-Carbon Energy for Central America: Building a Regional Model Guatemala-Low-Carbon Energy for Central America: Building a Regional Model Jump to: navigation, search Name Guatemala-Low-Carbon Energy for Central America: Building a Regional Model Agency/Company /Organization World Watch Institute Sector Energy Focus Area Renewable Energy Topics Background analysis, Implementation, Low emission development planning, Policies/deployment programs Website http://www.worldwatch.org/node Country Guatemala Central America References Low-Carbon Energy for Central America: Building a Regional Model[1] Overview "This project will design a unified low-carbon development strategy for Central America through the use of renewable energy and energy efficiency maps, followed by technical, economic, and social feasibility studies for

226

Building Information Modeling - A Minimum Mathematical Configuration  

E-Print Network (OSTI)

In the current context, the standardization of building construction is not limited to a specific country or to a specific building code. Trade globalization has emphasized the need for standardization in the process of exchange of design...

Bhandare, Ruchika

2012-10-19T23:59:59.000Z

227

MODELING PASSIVE SOLAR BUILDINGS WITH HAND CALCULATIONS  

E-Print Network (OSTI)

Solar Buildings: A Compilation of Data and Results." Sandia Laboratories, SAND 77-1204, Albuquerque, New Mexico,

Goldstein, David B.

2011-01-01T23:59:59.000Z

228

Reference Model for Control and Automation Systems in Electrical Power  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Reference Model Reference Model for Control and Automation Systems in Electrical Power Version 1.2 October 12, 2005 Prepared by: Sandia National Laboratories' Center for SCADA Security Jason Stamp, Technical Lead Michael Berg, Co-Technical Lead Michael Baca, Project Lead This work was conducted for the DOE Office of Electricity Delivery and Energy Reliability under Contract M64SCADSNL Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000. 2 Contents 1 Executive Summary.................................................................................................3 2 Introduction..............................................................................................................4

229

Better Buildings Neighborhood Program Business Models Guide: Introduction  

Energy.gov (U.S. Department of Energy (DOE))

Uses lessons learned from Better Buildings grantees, existing data, and private sector insights to highlight business models that can help develop a sustainable residential energy efficiency market.

230

Better Buildings Neighborhood Program Business Models Guide: Executive Summary  

Energy.gov (U.S. Department of Energy (DOE))

Uses lessons learned from Better Buildings grantees, existing data, and private sector insights to highlight business models that can help develop a sustainable residential energy efficiency market.

231

Greensburg, Kansas: Building a Model Green Community, How Would...  

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

Greensburg, Kansas: Building a Model Green Community, How Would You Rebuild a Town - Green? April 2009 (Brochure) This brochure describes the rebuilding of Greensburg, Kansas,...

232

BUILDING COSMOLOGICAL MODELS VIA NONCOMMUTATIVE GEOMETRY MATILDE MARCOLLI  

E-Print Network (OSTI)

of theoretical high energy physics models that are capable of producing a range of predictions, bothBUILDING COSMOLOGICAL MODELS VIA NONCOMMUTATIVE GEOMETRY MATILDE MARCOLLI and cosmology to formulate testable predictions that can be confronted with the data. While model building

Marcolli, Matilde

233

Specification of composite objects based on the ODP Reference Model  

E-Print Network (OSTI)

Specification of composite objects based on the ODP Reference Model D. Ramazani and G. v. Bochmann}@iro.umontreal.ca Abstract In this paper, we describe our experience in using the RM-ODP to specify composite objects. The concept of a composite object as defined in RM-ODP does not take into account its dynamic structure

von Bochmann, Gregor

234

Property:Buildings/ModelXmlFile | Open Energy Information  

Open Energy Info (EERE)

ModelXmlFile ModelXmlFile Jump to: navigation, search This is a property of type URL. Pages using the property "Buildings/ModelXmlFile" Showing 12 pages using this property. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + http://apps1.eere.energy.gov/buildings/energyplus/models/Chicago/2009_TSD_GeneralMerch_HPL_50percent.xml + General Merchandise 2009 TSD Chicago High Plug Load Baseline + http://apps1.eere.energy.gov/buildings/energyplus/models/Chicago/2009_TSD_GeneralMerch_HPL_Baseline.xml + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + http://apps1.eere.energy.gov/buildings/energyplus/models/Miami/2009_TSD_GeneralMerch_LPL_50percent.xml + General Merchandise 2009 TSD Chicago Low Plug Load Baseline + http://apps1.eere.energy.gov/buildings/energyplus/models/Miami/2009_TSD_GeneralMerch_LPL_Baseline.xml +

235

Property:Buildings/ModelIdfFile | Open Energy Information  

Open Energy Info (EERE)

ModelIdfFile ModelIdfFile Jump to: navigation, search This is a property of type URL. Pages using the property "Buildings/ModelIdfFile" Showing 12 pages using this property. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + http://apps1.eere.energy.gov/buildings/energyplus/models/Chicago/2009_TSD_GeneralMerch_HPL_50percent.idf + General Merchandise 2009 TSD Chicago High Plug Load Baseline + http://apps1.eere.energy.gov/buildings/energyplus/models/Chicago/2009_TSD_GeneralMerch_HPL_Baseline.idf + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + http://apps1.eere.energy.gov/buildings/energyplus/models/Miami/2009_TSD_GeneralMerch_LPL_50percent.idf + General Merchandise 2009 TSD Chicago Low Plug Load Baseline + http://apps1.eere.energy.gov/buildings/energyplus/models/Miami/2009_TSD_GeneralMerch_LPL_Baseline.idf +

236

Model Predictive Control for Energy Efficient Buildings  

E-Print Network (OSTI)

Learning Control for Thermal Energy Storage Systems. In:Predictive Control of Thermal Energy Storage in Buildingmaking use of building thermal energy storage, and this work

Ma, Yudong

2012-01-01T23:59:59.000Z

237

Building Energy Modeling Projects | Department of Energy  

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

Scalable Support and Training Services Platform Center-Led Projects CERC: Human Behavior, Standards and Tools to Improve Design & Operation CBERD: Building Energy Simulation &...

238

About Building Energy Modeling | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

mechanical systems, and dynamic building control for energy optimization or demand response. The design use cases can exploit prescriptive guidelines rather than simulation....

239

Building Energy Simulation & Modeling | Department of Energy  

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

strategies in a building or test bed equipped with a low-energy heating, ventilation, and air conditioning system. Project Impact Products: Improved design analysis tools and data,...

240

The BEAM Project: Building Efficient Architectural Models  

K-12 Energy Lesson Plans and Activities Web site (EERE)

This activity allows students the opportunity to explore materials used in architectural engineering and gain an understanding of their insolating properties. Students will research, design, build, test and improve a structure as to achieve the highest energy efficiency possible. Structures will be tested outside on a sunny day for eight hours with temperature changes being recorded each hour. Students will gain an understanding of how the combination of building location and orientation along with building design and materials can greatly affect the energy efficiency of a building.

Note: This page contains sample records for the topic "reference building models" 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

Monitoring and Modeling of Passive Solar Buildings  

Science Journals Connector (OSTI)

Amongst, the major barriers for commercialization of passive solar technologies for buildings is the lack of quantitative performance information. Further development of these technologies requires even more d...

Sukhbir Mahajan

1987-01-01T23:59:59.000Z

242

Towards a Very Low Energy Building Stock: Modeling the US Commercial Building Sector  

E-Print Network (OSTI)

area and energy use intensity by fuel type and end use), based on historical data and user-defined scenarios for future projections. In addition to supporting the interactive exploration of building stock targeting very low future energy consumption in the building stock. Model use has highlighted the scale

243

Reference Model 6 (RM6): Oscillating Wave Energy Converter.  

SciTech Connect

This report is an addendum to SAND2013-9040: Methodology for Design and Economic Analysis of Marine Energy Conversion (MEC) Technologies. This report describes an Oscillating Water Column Wave Energy Converter reference model design in a complementary manner to Reference Models 1-4 contained in the above report. In this report, a conceptual design for an Oscillating Water Column Wave Energy Converter (WEC) device appropriate for the modeled reference resource site was identified, and a detailed backward bent duct buoy (BBDB) device design was developed using a combination of numerical modeling tools and scaled physical models. Our team used the methodology in SAND2013-9040 for the economic analysis that included costs for designing, manufacturing, deploying, and operating commercial-scale MEC arrays, up to 100 devices. The methodology was applied to identify key cost drivers and to estimate levelized cost of energy (LCOE) for this RM6 Oscillating Water Column device in dollars per kilowatt-hour (%24/kWh). Although many costs were difficult to estimate at this time due to the lack of operational experience, the main contribution of this work was to disseminate a detailed set of methodologies and models that allow for an initial cost analysis of this emerging technology. This project is sponsored by the U.S. Department of Energy's (DOE) Wind and Water Power Technologies Program Office (WWPTO), within the Office of Energy Efficiency & Renewable Energy (EERE). Sandia National Laboratories, the lead in this effort, collaborated with partners from National Laboratories, industry, and universities to design and test this reference model.

Bull, Diana L; Smith, Chris; Jenne, Dale Scott; Jacob, Paul; Copping, Andrea; Willits, Steve; Fontaine, Arnold; Brefort, Dorian; Gordon, Margaret Ellen; Copeland, Robert; Jepsen, Richard A.

2014-10-01T23:59:59.000Z

244

SOME ANALYTIC MODELS OF PASSIVE SOLAR BUILDING PERFORMANCE: A THEORETICAL APPROACH TO THE DESIGN OF ENERGY-CONSERVING BUILDINGS  

E-Print Network (OSTI)

CONSERVATION IN BUILDINGS AND ANALYTIC MODELING Footnotes tobuilding -- and so are inaccurate for passive solar modeling.modeling described above for only one specific hour and one specific building

Goldstein, David Baird

2011-01-01T23:59:59.000Z

245

Building energy modeling programs comparison Research on HVAC systems  

NLE Websites -- All DOE Office Websites (Extended Search)

energy modeling programs comparison Research on HVAC systems energy modeling programs comparison Research on HVAC systems simulation part Title Building energy modeling programs comparison Research on HVAC systems simulation part Publication Type Journal Year of Publication 2013 Authors Zhou, Xin, Da Yan, Tianzhen Hong, and Dandan Zhu Keywords Building energy modeling programs, comparison tests, HVAC system simulation, theory analysis Abstract Building energy simulation programs are effective tools for the evaluation of building energy saving and optimization of design. The fact that large discrepancies exist in simulated results when different BEMPs are used to model the same building has caused wide concern. Urgent research is needed to identify the main elements that contribute towards the simulation results. This technical report summarizes methodologies, processes, and the main assumptions of three building energy modeling programs (BEMPs) for HVAC calculations: EnergyPlus, DeST, and DOE-2.1E, and test cases are designed to analyze the calculation process in detail. This will help users to get a better understanding of BEMPs and the research methodology of building simulation. This will also help build a foundation for building energy code development and energy labeling programs.

246

Building Energy Model Development for Retrofit Homes  

SciTech Connect

Based on previous research conducted by Pacific Northwest National Laboratory and Florida Solar Energy Center providing technical assistance to implement 22 deep energy retrofits across the nation, 6 homes were selected in Florida and Texas for detailed post-retrofit energy modeling to assess realized energy savings (Chandra et al, 2012). However, assessing realized savings can be difficult for some homes where pre-retrofit occupancy and energy performance are unknown. Initially, savings had been estimated using a HERS Index comparison for these homes. However, this does not account for confounding factors such as occupancy and weather. This research addresses a method to more reliably assess energy savings achieved in deep energy retrofits for which pre-retrofit utility bills or occupancy information in not available. A metered home, Riverdale, was selected as a test case for development of a modeling procedure to account occupancy and weather factors, potentially creating more accurate estimates of energy savings. This true up procedure was developed using Energy Gauge USA software and post-retrofit homeowner information and utility bills. The 12 step process adjusts the post-retrofit modeling results to correlate with post-retrofit utility bills and known occupancy information. The trued post retrofit model is then used to estimate pre-retrofit energy consumption by changing the building efficiency characteristics to reflect the pre-retrofit condition, but keeping all weather and occupancy-related factors the same. This creates a pre-retrofit model that is more comparable to the post-retrofit energy use profile and can improve energy savings estimates. For this test case, a home for which pre- and post- retrofit utility bills were available was selected for comparison and assessment of the accuracy of the true up procedure. Based on the current method, this procedure is quite time intensive. However, streamlined processing spreadsheets or incorporation into existing software tools would improve the efficiency of the process. Retrofit activity appears to be gaining market share, and this would be a potentially valuable capability with relevance to marketing, program management, and retrofit success metrics.

Chasar, David; McIlvaine, Janet; Blanchard, Jeremy; Widder, Sarah H.; Baechler, Michael C.

2012-09-30T23:59:59.000Z

247

Reference Buildings by Climate Zone and Representative City: 2B Phoenix, Arizona  

Energy.gov (U.S. Department of Energy (DOE))

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

248

Reference Buildings by Climate Zone and Representative City: 4C Seattle, Washington  

Office of Energy Efficiency and Renewable Energy (EERE)

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

249

Reference Buildings by Climate Zone and Representative City: 5B Boulder, Colorado  

Office of Energy Efficiency and Renewable Energy (EERE)

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

250

Reference Buildings by Climate Zone and Representative City: 4A Baltimore, Maryland  

Office of Energy Efficiency and Renewable Energy (EERE)

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

251

Reference Buildings by Climate Zone and Representative City: 5A Chicago, Illinois  

Office of Energy Efficiency and Renewable Energy (EERE)

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

252

Technical Meeting: Reference Guide for a Transaction-Based Building Controls Framework  

Energy.gov (U.S. Department of Energy (DOE))

BTO held a technical meeting at NREL, in Golden, CO, to discuss BTO's vision for a transaction-rich buildings energy ecosystem that will unlock the energy efficiency and grid services values and deliver them to consumers. View the presentations and meeting notes.

253

Reference Buildings by Climate Zone and Representative City: 2A Houston, Texas  

Office of Energy Efficiency and Renewable Energy (EERE)

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

254

Reference Buildings by Climate Zone and Representative City: 3B Los Angeles, California  

Office of Energy Efficiency and Renewable Energy (EERE)

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

255

Reference Buildings by Climate Zone and Representative City: 3B Las Vegas, Nevada  

Office of Energy Efficiency and Renewable Energy (EERE)

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

256

Reference Buildings by Climate Zone and Representative City: 3A Atlanta, Georgia  

Office of Energy Efficiency and Renewable Energy (EERE)

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

257

Reference Buildings by Climate Zone and Representative City: 3C San Francisco, California  

Office of Energy Efficiency and Renewable Energy (EERE)

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

258

Reference Buildings by Climate Zone and Representative City: 6B Helena, Montana  

Office of Energy Efficiency and Renewable Energy (EERE)

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

259

Reference Buildings by Climate Zone and Representative City: 1A Miami, Florida  

Office of Energy Efficiency and Renewable Energy (EERE)

In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

260

Development of an Open Source Hourly Building Energy Modeling Software Tool.  

E-Print Network (OSTI)

??Computer building energy simulations are an important tool in the design of low-energy buildings. Building energy modeling is used to predict annual energy consumption, determine (more)

Hanam, Brittany

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "reference building models" 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

Drawing interfaces : building geometric models with hand-drawn sketches  

E-Print Network (OSTI)

Architects work on drawings and models, not buildings. Today, in many architectural practices, drawings and models are produced in digital format using Computer-aided Design (CAD) tools. Unquestionably, digital media have ...

Branda, Ewan E. (Ewan Edward), 1964-

1998-01-01T23:59:59.000Z

262

Building a Network Simulation Model of the Teragrid Network  

E-Print Network (OSTI)

Building a Network Simulation Model of the Teragrid Network Thomas Hacker Preston Smith* Computer in designing and using an accurate network simulation model of the Teragrid network, and the performance

Jiang, Wen

263

Archived Reference Climate Zone: 7 Duluth, Minnesota  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zonesis available for reference.Current versionsare also available.

264

Archived Reference Climate Zone: 8 Fairbanks, Alaska  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zonesis available for reference.Current versionsare also available.

265

MODELING PASSIVE SOLAR BUILDINGS WITH HAND CALCULATIONS  

E-Print Network (OSTI)

111J111J111J11111 n 11111111111 Trombe wall cell , 8 Marchtime of day for the LASL Trombe wall c e l l , 8 March 1978.Direct-gain and unmanaged Trombe-wall or waterwall buildings

Goldstein, David B.

2011-01-01T23:59:59.000Z

266

An Authorization Framework using Building Information Models  

Science Journals Connector (OSTI)

......temperature sensors and Eddie is an electrician responsible for the lighting subsystem...critical functions. So the maintenance electrician Eddie may be permitted to monitor equipment...Expectations Across Disciplines. Handbook of Research on Building Information......

Nimalaprakasan Skandhakumar; Jason Reid; Ed Dawson; Robin Drogemuller; Farzad Salim

2012-10-01T23:59:59.000Z

267

Reference Model 5 (RM5): Oscillating Surge Wave Energy Converter  

SciTech Connect

This report is an addendum to SAND2013-9040: Methodology for Design and Economic Analysis of Marine Energy Conversion (MEC) Technologies. This report describes an Oscillating Water Column Wave Energy Converter (OSWEC) reference model design in a complementary manner to Reference Models 1-4 contained in the above report. A conceptual design for a taut moored oscillating surge wave energy converter was developed. The design had an annual electrical power of 108 kilowatts (kW), rated power of 360 kW, and intended deployment at water depths between 50 m and 100 m. The study includes structural analysis, power output estimation, a hydraulic power conversion chain system, and mooring designs. The results were used to estimate device capital cost and annual operation and maintenance costs. The device performance and costs were used for the economic analysis, following the methodology presented in SAND2013-9040 that included costs for designing, manufacturing, deploying, and operating commercial-scale MEC arrays up to 100 devices. The levelized cost of energy estimated for the Reference Model 5 OSWEC, presented in this report, was for a single device and arrays of 10, 50, and 100 units, and it enabled the economic analysis to account for cost reductions associated with economies of scale. The baseline commercial levelized cost of energy estimate for the Reference Model 5 device in an array comprised of 10 units is $1.44/kilowatt-hour (kWh), and the value drops to approximately $0.69/kWh for an array of 100 units.

Yu, Y. H.; Jenne, D. S.; Thresher, R.; Copping, A.; Geerlofs, S.; Hanna, L. A.

2015-01-01T23:59:59.000Z

268

Using Simulation Models for Building Commissioning  

E-Print Network (OSTI)

. This building, which houses the Department of Information Technology at Jyvaskyla Polytechnic in Jyvaskyla, Finland, was completed in May 2003 and placed in service in August 2003. The building has been simulated using the programs IDA-ICE (IDA 2002... Isaakson (Sweden), Timo Kalema (Finland), Hannu Keranen (Finland), Jean Lebrun (Belgium), Noriyasu Sagara (Japan), Makato Tsubaki (Japan), and Sheng Wei Wang (Hong Kong). Eighteen others have attended at least one meeting. While this paper has been...

Claridge, D. E.

2004-01-01T23:59:59.000Z

269

Building Air Quality & Ventilation Models: Review - Evaluation - Proposals  

NLE Websites -- All DOE Office Websites (Extended Search)

Building Air Quality & Ventilation Models: Review - Evaluation - Proposals Building Air Quality & Ventilation Models: Review - Evaluation - Proposals Speaker(s): James Axley Date: March 12, 1999 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Richard Sextro Developments in mathematical models for building air quality and ventilation analysis have changed the way we idealize buildings for purposes of analysis, the way we form system equations to effect the analysis, and the way we solve these equations to realize the analysis. While much has been achieved more is possible. This presentation will review the current state of the art - the building idealizations used, the system equations formed, and the solution methods applied - critically evaluate the completeness, complexity and utility of the most advanced models, and present proposals for future development

270

Building Energy Simulation Test for Existing Homes (BESTEST-EX): Instructions for Implementing the Test Procedure, Calibration Test Reference Results, and Example Acceptance-Range Criteria  

SciTech Connect

This publication summarizes building energy simulation test for existing homes (BESTEST-EX): instructions for implementing the test procedure, calibration tests reference results, and example acceptance-range criteria.

Judkoff, R.; Polly, B.; Bianchi, M.; Neymark, J.; Kennedy, M.

2011-08-01T23:59:59.000Z

271

Reference Model for Control and Automation Systems in Electrical Power |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Model for Control and Automation Systems in Electrical Model for Control and Automation Systems in Electrical Power Reference Model for Control and Automation Systems in Electrical Power Modern infrastructure automation systems are threatened by cyber attack. Their higher visibility in recent years and the increasing use of modern information technology (IT) components contribute to increased security risk. A means of analyzing these infrastructure automation systems is needed to help understand and study the many system relationships that affect the overall security of the system. Modeling these systems is a very cost effective means of addressing the problem of security from an overall system view. The model presented in the document below provides a structured, cost effective approach to address technical security in process control systems

272

Reducing the operational energy demand in buildings using building information modeling tools and sustainability approaches  

Science Journals Connector (OSTI)

Abstract A sustainable building is constructed of materials that could decrease environmental impacts, such as energy usage, during the lifecycle of the building. Building Information Modeling (BIM) has been identified as an effective tool for building performance analysis virtually in the design stage. The main aims of this study were to assess various combinations of materials using BIM and identify alternative, sustainable solutions to reduce operational energy consumption. The amount of energy consumed by a double story bungalow house in Johor, Malaysia, and assessments of alternative material configurations to determine the best energy performance were evaluated by using Revit Architecture 2012 and Autodesk Ecotect Analysis software to show which of the materials helped in reducing the operational energy use of the building to the greatest extent throughout its annual life cycle. At the end, some alternative, sustainable designs in terms of energy savings have been suggested.

Mojtaba Valinejad Shoubi; Masoud Valinejad Shoubi; Ashutosh Bagchi; Azin Shakiba Barough

2014-01-01T23:59:59.000Z

273

Modeling Building Thermal Response to HVAC Zoning Virginia Smith  

E-Print Network (OSTI)

Modeling Building Thermal Response to HVAC Zoning Virginia Smith Department of Computer Science HVAC systems account for 38% of building energy usage. Studies have indicated at least 5-15% waste due to unoccu- pied spaces being conditioned. Our goal is to minimize this waste by retrofitting HVAC systems

Whitehouse, Kamin

274

Archived Reference Climate Zone: 2B Phoenix, Arizona  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

275

Archived Reference Climate Zone: 6A Minneapolis, Minnesota  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

276

Archived Reference Climate Zone: 5A Chicago, Illinois  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

277

Archived Reference Climate Zone: 5B Boulder, Colorado  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

278

Archived Reference Climate Zone: 3B Los Angeles, California  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

279

Archived Reference Climate Zone: 3C San Francisco, California  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

280

Archived Reference Climate Zone: 3A Atlanta, Georgia  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

Note: This page contains sample records for the topic "reference building models" 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

Archived Reference Climate Zone: 3B Las Vegas, Nevada  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

282

Archived Reference Climate Zone: 6B Helena, Montana  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

283

Archived Reference Climate Zone: 2A Houston, Texas  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

284

Archived Reference Climate Zone: 4C Seattle, Washington  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

285

Archived Reference Climate Zone: 4A Baltimore, Maryland  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

286

Archived Reference Climate Zone: 1A Miami, Florida  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

287

Archived Reference Climate Zone: TMY2 Weather Data  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

288

Applications of formal model choice to archaeological chronology building  

E-Print Network (OSTI)

Applications of formal model choice to archaeological chronology building Sujit K. Sahu, Faculty several sources must be drawn together. Di#11;erent statistical models may, however, provide widely di#11-constructions of archaeological past using di#11;erent models. Bayesian predictive model choice criteria can be used as possible

Sahu, Sujit K

289

Total and Peak Energy Consumption Minimization of Building HVAC Systems Using Model Predictive Control  

E-Print Network (OSTI)

inputs. The idea of modeling building thermal behavior usingThe detail of building thermal modeling is pre- sented in [Modeling and optimal control algorithm design for hvac systems in energy efficient buildings,

Maasoumy, Mehdi; Sangiovanni-Vincentelli, Alberto

2012-01-01T23:59:59.000Z

290

Stochastic Modeling of Overtime Occupancy and Its Application in Building Energy Simulation and Calibration  

E-Print Network (OSTI)

is a whole-building energy modeling program developed byZ. Energy modeling of two office buildings with data centerand Modeling of Occupancy Patterns in Open-Plan Offices using Measured Lighting-Switch Data, Journal of Building

Sun, Kaiyu

2014-01-01T23:59:59.000Z

291

EVALUATION OF INDUSTRY FOUNDATION CLASSES FOR PRACTICAL BUILDING INFORMATION MODELING INTEROPERABILITY  

E-Print Network (OSTI)

Standard Project Committee defines a Building Information Model as "a digital representation of physicalEVALUATION OF INDUSTRY FOUNDATION CLASSES FOR PRACTICAL BUILDING INFORMATION MODELING FOR PRACTICAL BUILDING INFORMATION MODELING INTEROPERABILITY ABSTRACT The AEC (Architecture, Engineering

Kamat, Vineet R.

292

Simplified building models extraction from Ultra-light UAV Imagery  

E-Print Network (OSTI)

facades and the cameras' position in an editing software such as Pointools3 or Google Sketchup: Colorized dense cloud of points Figure 4: Refined extracted building models in Sketchup #12;

Fua, Pascal

293

Hybrid Model for Building Performance Diagnosis and Optimal Control  

E-Print Network (OSTI)

and two capacitances, is used to simulate building envelope whose parameters are determined in frequency domain using the theoretical frequency characteristics of the envelope. Internal mass is represented by a 2R2C thermal network model, which consists...

Wang, S.; Xu, X.

2003-01-01T23:59:59.000Z

294

Modeling and optimization of building HVAC systems.  

E-Print Network (OSTI)

??This thesis presents the development of hybrid modeling methodologies for HVAC component static/steady-state models and dynamic/transient models, and the development and implementation of a model-based (more)

Jin, Guang Yu.

2012-01-01T23:59:59.000Z

295

Modelica-based Modeling and Simulation to Support Research and Development in Building Energy and Control Systems  

E-Print Network (OSTI)

applied earlier for building energy modeling applicationstowards building HVAC system modeling and simulation. Forof equation-based modeling for building systems. We believe

Wetter, Michael

2010-01-01T23:59:59.000Z

296

Library for modeling and simulating the thermal dynamics of buildings  

Science Journals Connector (OSTI)

Today's buildings consume more energy than any other sector of the U.S. economy, including transportation and industry; a similar importance can be expected in most European countries. Due to the increased interest in saving energy in buildings, new dynamic thermal models that describe transient response in more flexible modeling languages become necessary. Traditional building simulation software (e.g. TRNSYS or Energy Plus) are based on almost intractable simulation codes, difficult to maintain and modify, that predict system quantities at fixed time intervals. More clear code, properly separated from the simulation environment, with variable time step solvers would be necessary for the assessment of HVAC system performance with quicker dynamics. Following some ideas from a previous building thermal behavior library, a new enhanced Modelica library for modeling buildings is presented. The library basically consists of a combination of lumped parameter models and one-dimensional distributed parameter models that interconnects with each other through a set of common interfaces. Object-oriented features like class parameters and multiple-inheritance are used to improve the library structure making it easy to read and use. Complex building topologies can be built-up from component blocks that result in physically correct compound models that can be efficiently simulated and studied in any Modelica simulation environment.

Juan I. Videla; Bernt Lie

2006-01-01T23:59:59.000Z

297

Antineutrinos from Earth: A reference model and its uncertainties  

Science Journals Connector (OSTI)

We predict geoneutrino fluxes in a reference model based on a detailed description of Earths crust and mantle and using the best available information on the abundances of uranium, thorium, and potassium inside Earths layers. We estimate the uncertainties of fluxes corresponding to the uncertainties of the element abundances. In addition to distance integrated fluxes, we also provide the differential fluxes as a function of distance from several sites of experimental interest. Event yields at several locations are estimated and their dependence on the neutrino oscillation parameters is discussed. At Kamioka we predict N(U+Th)=356 events for 1032 proton yr and 100% efficiency assuming sin2(2?)=0.863 and ?m2=7.310-5 eV2. The maximal prediction is 55 events, obtained in a model with fully radiogenic production of the terrestrial heat flow.

Fabio Mantovani; Luigi Carmignani; Gianni Fiorentini; Marcello Lissia

2004-01-07T23:59:59.000Z

298

Mountain building in the Nepal Himalaya: Thermal and kinematic model  

E-Print Network (OSTI)

Mountain building in the Nepal Himalaya: Thermal and kinematic model L. Bollinger a,, P. Henry b. Courtillot Abstract We model crustal deformation and the resulting thermal structure across the Nepal: thermal model; temperature-time paths; inverted metamorphism; underplating; Himalayan orogen; Nepal

Avouac, Jean-Philippe

299

Reference Model 2: %22Rev 0%22 Rotor Design.  

SciTech Connect

The preliminary design for a three-bladed cross-flow rotor for a reference marine hydrokinetic turbine is presented. A rotor performance design code is described, along with modifications to the code to allow prediction of blade support strut drag as well as interference between two counter-rotating rotors. The rotor is designed to operate in a reference site corresponding to a riverine environment. Basic rotor performance and rigid-body loads calculations are performed to size the rotor elements and select the operating speed range. The preliminary design is verified with a simple finite element model that provides estimates of bending stresses during operation. A concept for joining the blades and support struts is developed and analyzed with a separate finite element analysis. Rotor mass, production costs, and annual energy capture are estimated in order to allow calculations of system cost-of-energy. Evaluation Only. Created with Aspose.Pdf.Kit. Copyright 2002-2011 Aspose Pty Ltd Evaluation Only. Created with Aspose.Pdf.Kit. Copyright 2002-2011 Aspose Pty Ltd

Barone, Matthew F.; Berg, Jonathan Charles; Griffith, Daniel

2011-12-01T23:59:59.000Z

300

THERM: Two-Dimensional Building Heat-Transfer Modeling  

NLE Websites -- All DOE Office Websites (Extended Search)

5 5 THERM: Two-Dimensional Building Heat-Transfer Modeling For more information and to download THERM, please visit our website: http://windows.lbl.gov/software/therm The Windows and Daylighting Group's two-year-old computer program THERM 1.0 is a state-of-the-art tool for modeling two-dimensional heat-transfer effects in building components. The thermal property information THERM provides is important for the design and application of building components such as windows, walls, foundations, roofs and doors. This Microsoft Windows-based program has great potential to users such as building component manufacturers, educators, students, architects, engineers and others who are interested in assessing the heat-transfer properties of single products, product interactions, or integrated systems. THERM

Note: This page contains sample records for the topic "reference building models" 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

AUTOMATED MODELING OF 3D BUILDING ROOFS USING IMAGE AND LIDAR DATA  

E-Print Network (OSTI)

AUTOMATED MODELING OF 3D BUILDING ROOFS USING IMAGE AND LIDAR DATA N. Demir* , E. Baltsavias, Detection, 3D Modelling ABSTRACT: In this work, an automated approach for 3D building roof modelling on the 3D building roof modelling. Buildings have a critical role for 3D city models, decision support

Schindler, Konrad

302

Modeling Ventilation in Multifamily Buildings John Markley, University of California, Davis -Western Cooling Efficiency Center  

E-Print Network (OSTI)

Modeling Ventilation in Multifamily Buildings John Markley, University of California, Davis outlines the results from energy models of several multifamily building configurations to improve airflow component of multifamily building design due to its effects on occupant health and comfort. Though

California at Davis, University of

303

An inverse PDE-ODE model for studying building energy demand  

Science Journals Connector (OSTI)

Development of an accurate heat transfer model of buildings is of high importance. Such a model can be used for analyzing energy efficiency of buildings, predicting energy consumption and providing decision support for energy efficient operation of buildings. ...

Lianjun An, Young Tae Chae, Raya Horesh, Young Lee, Rui Zhang

2013-12-01T23:59:59.000Z

304

Simulation Models to Optimize the Energy Consumption of Buildings  

E-Print Network (OSTI)

Page 1 of paper submitted to ICEBO 2008 Berlin SIMULATION MODELS TO OPTIMIZE THE ENERGY CONSUMPTION OF BUILDINGS Sebastian Burhenne Fraunhofer-Institute for Solar Energy Systems Freiburg, Germany Dirk Jacob Fraunhofer...-Institute for Solar Energy Systems Freiburg, Germany ABSTRACT In practice, building operation systems are only adjusted during commissioning. This is done manually and leads to failure-free but often inefficient operation. This work deals...

Burhenne, S.; Jacob, D.

305

building demand | OpenEI  

Open Energy Info (EERE)

demand demand Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (9 months ago) Date Updated July 02nd, 2013 (7 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

306

building load | OpenEI  

Open Energy Info (EERE)

load load Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (9 months ago) Date Updated July 02nd, 2013 (7 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

307

Real-Time Building Energy Modeling, fault Detection and Diagnostic for a DoD Building  

E-Print Network (OSTI)

ME 4343 HVAC Design Real-Time Building Energy Modeling and Fault Detection and Diagnostics for a DoD Building Bing Dong1, Zheng ONeill2 1 University of Texas, San Antonio, TX, USA 2 University of Alabama, AL, USA The work was done at the United... distributed Direct Digital Control System (DDC) 4 7114 7113 ESL-KT-13-12-18 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas Dec. 16-18 Technology Approaches 5 Core Layer: BIM-based Database BIM to BEM Real-time Data Acquisition...

Dong, B.

2013-01-01T23:59:59.000Z

308

An Integrated Framework for Parametric Design Using Building Energy Models  

NLE Websites -- All DOE Office Websites (Extended Search)

An Integrated Framework for Parametric Design Using Building Energy Models An Integrated Framework for Parametric Design Using Building Energy Models Speaker(s): Bryan Eisenhower Date: September 22, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Michael Wetter In this talk we will present a framework for analyses of building energy models including uncertainty and sensitivity analysis, optimization, calibration, and failure mode effect analysis. The methodology begins with efficient uniformly ergodic numerical sampling and regression analysis based on machine learning to derive an analytic representation of the full energy model (e.g. EnergyPlus, TRNSYS, etc). Once these steps are taken, and an analytical representation of the dynamics is obtained, multiple avenues for analysis are opened that were previously impeded by the

309

Physical Building Information Modeling for Solar Building Design and Simulation- Annual Report 2012  

E-Print Network (OSTI)

the following tools and datasets: Modelica as an Object-Oriented Equation-based modeling language LBL Modelica Buildings Library (LBNL, 2012) as a simulation engine Dymola as a Modelica modeling and simulation environment Revit as a BIM authoring... interface, and e. improve visualization of simulation results. 2) With the capabilities of object-oriented programming in Modelica, we could encapsulate third-party energy simulation modules and transfer parameters throughout encapsulated modules...

Yan, W.; Haberl, J.; Clayton, M.; Jeong, W.; Kim, J.; Kota, S.; Alcocer, J.; Dixit, M.

2012-01-01T23:59:59.000Z

310

Commercial Building Energy Baseline Modeling Software: Performance Metrics and Method Testing with Open Source Models and Implications for Proprietary Software Testing  

E-Print Network (OSTI)

XXXXX Commercial Building Energy Baseline Modeling Software:2013 Commercial Building Energy Baseline Modeling Software:evaluating the building-level baseline modeling capabilities

Price, Phillip N

2014-01-01T23:59:59.000Z

311

BUILDING A BETTER MODEL OF FRUIT FLY WING DEVELOPMENT  

E-Print Network (OSTI)

BUILDING A BETTER MODEL OF FRUIT FLY WING DEVELOPMENT Rick Dilling CTMS Graduate Fellow (summer 2010) Advisors: Fred Nijhout (Biology), Tom Witelski (Mathematics) The fruit fly, Drosophila melanogaster, is one of the most important model organisms used in biology. One of the ways fruit flies

Wolpert, Robert L

312

Better Buildings Neighborhood Program Business Models Guide ...  

Energy Savers (EERE)

insights to highlight business models that can help develop a sustainable residential energy efficiency market. bbnpbusinessmodelsguide.pdf More Documents & Publications...

313

Generic Models in the Design of Solar Commercial Buildings , N. ISAACS1  

E-Print Network (OSTI)

of generic models were developed. These include: Standard data on building materials used in commercial buildings in New Zealand; Materials data collated into descriptions of standard buildings which are representative of commercial building `types'; Standard building model descriptions which are intended to provide

Amor, Robert

314

The Community Surface Dynamics Modeling System: Experiences on Building a Collaborative Modeling Platform  

E-Print Network (OSTI)

The Community Surface Dynamics Modeling System: Experiences on Building a Collaborative Modeling VOLUNTEERISM MANY DEVELOPERS Grand Challenge: Building a Toolbox of Component Models with guidance and input Members and Governance · Tools for Collaboration 1) CSDMS Wiki 2) CSDMS Modeling Tool · Strategies

Wright, Dawn Jeannine

315

Effective Neutrino Mass Operators: A Guide to Model Building  

E-Print Network (OSTI)

Effective operators relevant for generating small Majorana masses for the neutrinos in the Standard Model will be considered. These operators serve as a useful guide for building models of neutrino mass. Some of these operators are represented by familiar models in the literature, and others lead to interesting new models. The number of relevant operators will be drastically reduced if neutrinoless double beta decays are observed in current experiments.

C. N. Leung

2001-08-15T23:59:59.000Z

316

A toolkit for building earth system models  

SciTech Connect

An earth system model is a computer code designed to simulate the interrelated processes that determine the earth's weather and climate, such as atmospheric circulation, atmospheric physics, atmospheric chemistry, oceanic circulation, and biosphere. I propose a toolkit that would support a modular, or object-oriented, approach to the implementation of such models.

Foster, I.

1993-03-01T23:59:59.000Z

317

A toolkit for building earth system models  

SciTech Connect

An earth system model is a computer code designed to simulate the interrelated processes that determine the earth`s weather and climate, such as atmospheric circulation, atmospheric physics, atmospheric chemistry, oceanic circulation, and biosphere. I propose a toolkit that would support a modular, or object-oriented, approach to the implementation of such models.

Foster, I.

1993-03-01T23:59:59.000Z

318

2.5D Building Modeling with Topology Control Qian-Yi Zhou  

E-Print Network (OSTI)

2.5D Building Modeling with Topology Control Qian-Yi Zhou University of Southern California building reconstruction aims at creating building models composed of complex roofs and vertical walls to that of manually created models or primitive-based models. 1. Introduction Building reconstruction lies

Southern California, University of

319

SIMPLIFIED BUILDING MODELS EXTRACTION FROM ULTRA-LIGHT UAV Olivier Kung1  

E-Print Network (OSTI)

SIMPLIFIED BUILDING MODELS EXTRACTION FROM ULTRA-LIGHT UAV IMAGERY Olivier K¨ung1 , Christoph, Simplified Building Models ABSTRACT: Generating detailed simplified building models such as the ones present element of simplified building models extraction is the seamless integration of the outputs

Fua, Pascal

320

Property:Buildings/ModelYear | Open Energy Information  

Open Energy Info (EERE)

Buildings/ModelYear Buildings/ModelYear Jump to: navigation, search This is a property of type Date. Pages using the property "Buildings/ModelYear" Showing 12 pages using this property. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + 2009 + General Merchandise 2009 TSD Chicago High Plug Load Baseline + 2009 + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + 2009 + General Merchandise 2009 TSD Chicago Low Plug Load Baseline + 2009 + General Merchandise 2009 TSD Miami High Plug Load 50% Energy Savings + 2009 + General Merchandise 2009 TSD Miami High Plug Load Baseline + 2009 + General Merchandise 2009 TSD Miami Low Plug Load 50% Energy Savings + 2009 + General Merchandise 2009 TSD Miami Low Plug Load Baseline + 2009 +

Note: This page contains sample records for the topic "reference building models" 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

Evolutionary Tuning of Building Models to Monthly Electrical Consumption  

SciTech Connect

Building energy models of existing buildings are unreliable unless calibrated so they correlate well with actual energy usage. Calibrating models is costly because it is currently an art which requires significant manual effort by an experienced and skilled professional. An automated methodology could significantly decrease this cost and facilitate greater adoption of energy simulation capabilities into the marketplace. The Autotune project is a novel methodology which leverages supercomputing, large databases of simulation data, and machine learning to allow automatic calibration of simulations to match measured experimental data on commodity hardware. This paper shares initial results from the automated methodology applied to the calibration of building energy models (BEM) for EnergyPlus (E+) to reproduce measured monthly electrical data.

Garrett, Aaron [Jacksonville State University] [Jacksonville State University; New, Joshua Ryan [ORNL] [ORNL; Chandler, Theodore [Jacksonville State University] [Jacksonville State University

2013-01-01T23:59:59.000Z

322

3D Modeling By the Masses: A Mobile App for Modeling Buildings Todd Eaglin and Kalpathi Subramanian and Jamie Payton  

E-Print Network (OSTI)

3D Modeling By the Masses: A Mobile App for Modeling Buildings Todd Eaglin and Kalpathi Subramanian a mobile application that uses crowdsourcing to build 3D models of large buildings and urban structures, submit, and vote on 3D models of building components; the server collects and uses votes pertaining

Subramanian, Kalpathi R.

323

Integrate Experiments and Models to Estimate Exposure - (1) Building  

NLE Websites -- All DOE Office Websites (Extended Search)

Integrate Experiments and Models to Estimate Exposure - (1) Building Integrate Experiments and Models to Estimate Exposure - (1) Building Fumigation and (2) Elemental Mercury Spill Speaker(s): Wanyu Chan Date: February 22, 2010 - 12:00pm Location: 90-3075 Seminar Host/Point of Contact: Michael Sohn Models that predict exposure concentrations in the indoor and outdoor air can be improved by experiments designed to validate or calibrate the models. This presentation will showcase two examples where experiments and models are integrated to estimate exposure concentrations. One example is the use of methyl bromide as fumigant at food processing facilities. Field studies were conducted at three mill sites that are representative of typical industry practices in terms of size, operation, and fumigation protocol. Concentrations of methyl bromide inside the mills and outdoors

324

Modeling of a digital tool to design sustainable buildings Vida Gholipour1, 2  

E-Print Network (OSTI)

1 Eco-Models Modeling of a digital tool to design sustainable buildings Vida Gholipour1, 2 , Jean' to help architects design more sustainable buildings is rapidly expanding. This demand has led to use and so collaborate to optimize the building design. Keywords: Eco-Models: sustainable buildings; design

Paris-Sud XI, Université de

325

SINGLE IMAGE AND TOPOLOGY APPROACHES FOR MODELING BUILDINGS O. Al Khalil & P. Grussenmeyer  

E-Print Network (OSTI)

SINGLE IMAGE AND TOPOLOGY APPROACHES FOR MODELING BUILDINGS O. Al Khalil & P. Grussenmeyer ENSAIS, Photogrammetry, Reconstruction, Modeling, Building, Database, Image ABSTRACT: The paper presents a method buildings. 1. INTRODUCTION Building modeling methods are of interest for urban planning and for projects

Paris-Sud XI, Université de

326

Fast and Extensible Building Modeling from Airborne Qian-Yi Zhou  

E-Print Network (OSTI)

Fast and Extensible Building Modeling from Airborne LiDAR Data Qian-Yi Zhou University of Southern@graphics.usc.edu ABSTRACT This paper presents an automatic algorithm which recon- structs building models from airborne Li LiDAR(light detection and ranging), building modeling, seg- mentation, building footprints 1

Southern California, University of

327

Model Simulating Real Domestic Hot Water Use- Building America Top Innovation  

Energy.gov (U.S. Department of Energy (DOE))

This Building America Innovations profile describes Building America research that is improving domestic hot water modeling capabilities to more effectively address one of the largest energy uses in residential buildings.

328

SimModel: A domain data model for whole building energy simulation  

NLE Websites -- All DOE Office Websites (Extended Search)

SimModel: A domain data model for whole building energy simulation SimModel: A domain data model for whole building energy simulation Title SimModel: A domain data model for whole building energy simulation Publication Type Conference Paper LBNL Report Number LBNL-5566E Year of Publication 2011 Authors O'Donnell, James, Richard See, Cody Rose, Tobias Maile, Vladimir Bazjanac, and Philip Haves Conference Name IBPSA Building Simulation 2011 Date Published 10/2011 Abstract Many inadequacies exist within industry-standard data models as used by present-day whole-building energy simulation software. Tools such as EnergyPlus and DOE-2 use custom schema definitions (IDD and BDL respectively) as opposed to standardized schema definitions (defined in XSD, EXPRESS, etc.). Non-standard data modes lead to a requirement for application developers to develop bespoke interfaces. Such tools have proven to be error prone in their implementation - typically resulting in information loss.

329

Building a comprehensive quantitative risk assessment model for lung cancer  

Science Journals Connector (OSTI)

...Res, Volume 46, 2005 Building a comprehensive quantitative...including identification of multi-collinearities and...and resulted in model multi-collinearities. When...asbestos exposure, family history of LC and years...factors of emphysema, family history of LC, years...

Carol J. Etzel; Qing Zhang; Matthew Schabath; Qiong Dong; Xifeng Wu; Qingyi Wei; Margaret Spitz; and Christopher I. Amos

2005-05-01T23:59:59.000Z

330

Unification and Model Building, Astroparticle Physics and Neutrinos  

E-Print Network (OSTI)

This report summarises the work done during the Workshop on High Energy Physics Phenomenology 4 (S.N.Bose National Centre for Basic Sciences, Calcutta, India, Jan 2-14,1996) in Working Groups IV (Unification and Model Building) and V (Astroparticle Physics and Neutrinos).

Amitava Raychaudhuri; Probir Roy

1996-04-11T23:59:59.000Z

331

Evolutionary Tuning of Building Models to Monthly Electrical Consumption  

E-Print Network (OSTI)

Evolutionary Tuning of Building Models to Monthly Electrical Consumption Aaron Garrett, PhD Joshua load and electrical data from a highly-instrumented and automated ZEBRAlliance research home consume 40% of the US primary energy (73% of the electrical energy). By 2030, it is estimated that 60

Wang, Xiaorui "Ray"

332

Validation of the Window Model of the Modelica Buildings Library  

E-Print Network (OSTI)

LBNL-5735E Validation of the Window Model of the Modelica Buildings Library Thierry Stephane of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University

333

Duct Thermal Performance Models for Large Commercial Buildings  

E-Print Network (OSTI)

Energy Technologies Division Indoor Environment Department Lawrence Berkeley National Laboratory Berkeley Secretary for Energy Efficiency and Renewable Energy, Building Technologies Program, of the U.S. Department) for his assistance in defining the duct surface heat transfer models described in the body of this report

334

On the geometry of cosmological model building  

E-Print Network (OSTI)

This article analyzes the present anomalies of cosmology from the point of view of integrable Weyl geometry. It uses P.A.M. Dirac's proposal for a weak extension of general relativity, with some small adaptations. Simple models with interesting geometrical and physical properties, not belonging to the Friedmann-Lema\\^{\\i}tre class, are studied in this frame. Those with positive spatial curvature (Einstein-Weyl universes) go well together with observed mass density $\\Omega_m$, CMB, supernovae Ia data, and quasar frequencies. They suggest a physical role for an equilibrium state of the Maxwell field proposed by I.E. Segal in the 1980s (Segal background) and for a time invariant balancing condition of vacuum energy density. The latter leads to a surprising agreement with the BF-theoretical calculation proposed by C. Castro (2002).

Erhard Scholz

2005-11-21T23:59:59.000Z

335

Archived Reference Climate Zone: 2B Phoenix, Arizona  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zonesis available for reference.Current versionsare also available.

336

Archived Reference Climate Zone: 4C Seattle, Washington  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zonesis available for reference.Current versionsare also available.

337

Archived Reference Climate Zone: 3C San Francisco, California  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zonesis available for reference.Current versionsare also available.

338

Archived Reference Climate Zone: 3B Los Angeles, California  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zonesis available for reference.Current versionsare also available.

339

Archived Reference Climate Zone: 3A Atlanta, Georgia  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zonesis available for reference.Current versionsare also available.

340

Archived Reference Climate Zone: 4A Baltimore, Maryland  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zonesis available for reference.Current versionsare also available.

Note: This page contains sample records for the topic "reference building models" 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

Archived Reference Climate Zone: 6A Minneapolis, Minnesota  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zonesis available for reference.Current versionsare also available.

342

Archived Reference Climate Zone: 1A Miami, Florida  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zonesis available for reference.Current versionsare also available.

343

Archived Reference Climate Zone: 6B Helena, Montana  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zonesis available for reference.Current versionsare also available.

344

Archived Reference Climate Zone: 5B Boulder, Colorado  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zonesis available for reference.Current versionsare also available.

345

Archived Reference Climate Zone: 3B Las Vegas, Nevada  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zonesis available for reference.Current versionsare also available.

346

Archived Reference Climate Zone: TMY2 Weather Data  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zonesis available for reference.Current versionsare also available.

347

Archived Reference Climate Zone: 5A Chicago, Illinois  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zonesis available for reference.Current versionsare also available.

348

Archived Reference Climate Zone: 2A Houston, Texas  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zonesis available for reference.Current versionsare also available.

349

Archived Reference Climate Zone: 4B Albuquerque, New Mexico  

Energy.gov (U.S. Department of Energy (DOE))

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zonesis available for reference.Current versionsare also available.

350

Standard Model Building from Intersecting D-Branes  

E-Print Network (OSTI)

We provide a general overview of the current state of the art in four dimensional three generation model building proposals - using intersecting D-brane toroidal compactifications [without fluxes] of IIA, IIB string theories - which have only the SM at low energy. In this context, we focus on these model building directions, where non-supersymmetric constructions - based on the existence of the gauge group structure $SU(3)_c \\times SU(2)_L \\times U(1)_Y$, Pati-Salam $SU(4)_C \\times SU(2)_L \\times SU(2)_R$, SU(5) and flipped SU(5) GUTS - appear at the string scale $M_s$. These model building attempts are based on four dimensional compactifications that use orientifolds of either IIA theory with D6-branes wrapping on $T^6$, $T^6/Z_3$ and recently on $T^6/Z_3 \\times Z_3$ or of IIB theory with D5-branes wrapping on $T^4 \\times C/Z_N$. Models with D5-branes are compatible with the large extra dimension scenario and a low string scale that could be at the TeV; thus there is no gauge hierarchy problem in the Higgs sector. In the case of flipped SU(5) GUTS - coming from $T^6/Z_3$ - the special build up structure of the models accommodates naturally a see-saw mechanism and a new solution to the doublet-triplet splitting problem. Baryon number is a gauged symmetry and thus proton is naturally stable only in models with D5 branes or in models with D6-branes wrapping toroidal orientifolds of type IIA. Finally, we present new RR tadpole solutions for the 5- and 6- stack toroidal orientifold models of type IIA which have only the Standard Model with right handed neutrinos at low energy.

Christos Kokorelis

2004-10-12T23:59:59.000Z

351

Buildings, Energy, Greenhouse Gas, Industrial and Policy Modeling and  

NLE Websites -- All DOE Office Websites (Extended Search)

Buildings, Energy, Greenhouse Gas, Industrial and Policy Modeling and Buildings, Energy, Greenhouse Gas, Industrial and Policy Modeling and Simulation Tools Available from Energy Analysis and Environmental Impacts Department Tools header image January 2014 Tools and models to find the best way to save energy and reduce greenhouse gas emissions in cities and industries, to follow the transport of pollutants through the environment, and to calculate the cost of power interruptions are among those available on a new Lawrence Berkeley National Laboratory (Berkeley Lab) web site. The site brings together models and simulation tools developed by the Energy Analysis and Environmental Impacts (EAEI) Department of the Lab's Environmental Energy Technologies Division. "Our hope is that the site will facilitate greater technical awareness of

352

Gaussian Process Modeling: Applications to Building Systems and Algorithmic  

NLE Websites -- All DOE Office Websites (Extended Search)

Gaussian Process Modeling: Applications to Building Systems and Algorithmic Gaussian Process Modeling: Applications to Building Systems and Algorithmic Challenges Speaker(s): Victor M. Zavala Date: November 5, 2013 - 12:00pm - 1:00pm Location: 90-3122 Seminar Host/Point of Contact: Mary Ann Piette Michael Sohn We review applications and algorithmic challenges of Gaussian Process (GP) modeling. GP is a powerful and flexible uncertainty quantification and data analysis technique that enables the construction of complex models without the need to specify algebraic relationships between variables. This is done by working directly in the space of the kernel or covariance matrix. In addition, it derives from a Bayesian framework and, as such, it naturally provides predictive probability distributions. We describe how these features can be exploited in Measurement and Verification (M&V) tasks and

353

Enhancements to ASHRAE Standard 90.1 Prototype Building Models  

SciTech Connect

This report focuses on enhancements to prototype building models used to determine the energy impact of various versions of ANSI/ASHRAE/IES Standard 90.1. Since the last publication of the prototype building models, PNNL has made numerous enhancements to the original prototype models compliant with the 2004, 2007, and 2010 editions of Standard 90.1. Those enhancements are described here and were made for several reasons: (1) to change or improve prototype design assumptions; (2) to improve the simulation accuracy; (3) to improve the simulation infrastructure; and (4) to add additional detail to the models needed to capture certain energy impacts from Standard 90.1 improvements. These enhancements impact simulated prototype energy use, and consequently impact the savings estimated from edition to edition of Standard 90.1.

Goel, Supriya; Athalye, Rahul A.; Wang, Weimin; Zhang, Jian; Rosenberg, Michael I.; Xie, YuLong; Hart, Philip R.; Mendon, Vrushali V.

2014-04-16T23:59:59.000Z

354

Business Models for Code Compliance | Building Energy Codes Program  

NLE Websites -- All DOE Office Websites (Extended Search)

Compliance Compliance Site Map Printable Version Development Adoption Compliance Basics Compliance Evaluation Software & Web Tools Regulations Resource Center Business Models for Code Compliance The U.S. Department of Energy is coordinating strategies and activities with companies, individuals, and government entities to demonstrate, quantify, and monetize energy code compliance and coordinate deployment at the local, state, and regional levels. Consumer Assurance through Code Compliance Energy efficiency measures in the buildings sector, if properly realized and captured, provide a tremendous opportunity to reduce energy consumption and expenditures. Yet currently there is a lack of assurance that buildings as designed realize the levels of energy efficiency established in the

355

Hybrid Model of Existing Buildings for Transient Thermal Performance Estimation  

E-Print Network (OSTI)

. The model parameters, Cim,1, Rim,1, Cim,2, Rim,2, of the building internal mass can be optimized by minimizing the difference between the measured cooling energy consumption and the model predicted ICEBO2006, Shenzhen, China Control Systems... parameters (Cim,1, Rim,1, Cim,2, Rim,2) constitute the chromosome of an individual, the assumed ranges of these parameters are the search space for these parameters. Initializing the four parameters produces the initial population to start a GA run...

Xu, X.; Wang, S.

2006-01-01T23:59:59.000Z

356

Building Component Library: An Online Repository to Facilitate Building Energy Model Creation: Preprint  

NLE Websites -- All DOE Office Websites (Extended Search)

Component Library: Component Library: An Online Repository to Facilitate Building Energy Model Creation Preprint Katherine Fleming, Nicholas Long, and Alex Swindler To be presented at the ACEEE Summer Study on Energy Efficiency in Buildings Pacific Grove, California August 12-17, 2012 Conference Paper NREL/CP-5500-54710 May 2012 NOTICE The submitted manuscript has been offered by an employee of the Alliance for Sustainable Energy, LLC (Alliance), a contractor of the US Government under Contract No. DE-AC36-08GO28308. Accordingly, the US Government and Alliance retain a nonexclusive royalty-free license to publish or reproduce the published form of this contribution, or allow others to do so, for US Government purposes. This report was prepared as an account of work sponsored by an agency of the United States government.

357

Urban energy simulation: Simplification and reduction of building envelope models  

Science Journals Connector (OSTI)

Abstract This paper describes a building model designed for an urban energy simulation tool. In this context, trade-off between computing time and result precision is particularly important. Our methodology involves physical simplifications and model order reduction. The physical simplications are achieved by using equivalent envelopes, linearization scheme and pre-processing, so that a Modelica detailed model can be derived into a linear and time-invariant system using fewer component models. Balanced realization reduction can then be applied on such systems leading finally to a 6-order model. Effects of the simplification and reduction on heating and cooling loads are evaluated using typical building envelope cases. Results show that the simplifications and reduction induce errors under 1% in annual energy consumption and a maximum of 3% in instantaneous values but are accurate enough to reproduce dynamics of the detailed model. Additionally, the final reduced model uses a simple numerical solver and runs in less than 1s without compromising precision for hourly annual simulations being 700 times faster than the detailed model, which is promising for use in urban energy simulation.

Eui-Jong Kim; Gilles Plessis; Jean-Luc Hubert; Jean-Jacques Roux

2014-01-01T23:59:59.000Z

358

Building Energy Software Tools Directory: Energy Demand Modeling  

NLE Websites -- All DOE Office Websites (Extended Search)

Energy Demand Modeling Energy Demand Modeling The software is intended to be used for Energy Demand Modeling. This can be utilized from regional to national level. A Graphical User Interface of the software takes the input from the user in a quite logical and sequential manner. These input leads to output in two distinct form, first, it develops a Reference Energy System, which depicts the flow of energy from the source to sink with all the losses incorporated and second, it gives a MATLAB script file for advance post processing like graphs, visualization and optimizations to develop and evaluate the right energy mix policy frame work for a intended region. Keywords Reference Energy System, Software, GUI, Planning, Energy Demand Model EDM, Energy Policy Planning Validation/Testing

359

Building Shape Models from Lousy Data Marcel Luthi, Thomas Albrecht, and Thomas Vetter  

E-Print Network (OSTI)

Building Shape Models from Lousy Data Marcel L¨uthi, Thomas Albrecht, and Thomas Vetter Department information. We propose a method for building a statistical shape model from such "lousy" data sets all the intact parts are included in the model. The model building is then performed using the EM

Vetter, Thomas

360

USING ROBUST METHODS TO MODEL BUILDINGS WITH A DEM Christophe Vestri, Frederic Devernay, Marion Mesnage  

E-Print Network (OSTI)

USING ROBUST METHODS TO MODEL BUILDINGS WITH A DEM Christophe Vestri, Fr´ed´eric Devernay, Marion-mail: vestri@istar.fr, devernay@unice.fr, bignone@istar.fr KEY WORDS: Modeling, Building, DEM, Robust a building with a single Digital Elevation Model (DEM). The model is constructed in two stages. A first stage

Paris-Sud XI, Université de

Note: This page contains sample records for the topic "reference building models" 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

Discussion of methods in building and validating a model: example of amino acid metabolism in ruminants.  

E-Print Network (OSTI)

Discussion of methods in building and validating a model: example of amino acid metabolism with these phenomena is to build a more mechanistic model of the amino acid fluxes in the intermediary metabolism to build and to validate a mechanistic model and of some problems encountered during this model development

Paris-Sud XI, Université de

362

Two Tales of Variable Selection for High Dimensional Regression: Screening and Model Building  

E-Print Network (OSTI)

Two Tales of Variable Selection for High Dimensional Regression: Screening and Model Building C and Model Building Cong Liu, Tao Shi and Yoonkyung Lee Department of Statistics, The Ohio State University at two stages of statistical modeling, namely screening and formal model building, with different goals

Shi, Tao

363

Automatic Production and Visualization of Urban Models from Building Allocation Plans  

E-Print Network (OSTI)

Automatic Production and Visualization of Urban Models from Building Allocation Plans Oguzcan Oguz presents a method for automatic generation of building models to be used in virtual city models for this work is to generate 3D city models using 2D city plans consistent with the real shapes of the buildings

Güdükbay, Ugur

364

Experimental Validation of Building Vibration Propagation Using a Four Story Laboratory Model  

E-Print Network (OSTI)

Experimental Validation of Building Vibration Propagation Using a Four Story Laboratory Model.White@tufts.edu ABSTRACT A 4-story scale model building was designed and constructed for the purpose of predicting and combined, forming a system model. Each component of the scale model building was tested in order

White, Robert D.

365

Sharing Building Information using the IFC Data Model for FDS Fire Simulation  

E-Print Network (OSTI)

Sharing Building Information using the IFC Data Model for FDS Fire Simulation 1 JOHANNES DIMYADI, 2 building information model in fire engineering design. In particular the paper describes work undertaken model. A commercially available building information modeling (BIM) authoring application has been used

Amor, Robert

366

FORTRAN M as a language for building earth system models  

SciTech Connect

FORTRAN M is a small set of extensions to FORTRAN 77 that supports a modular or object-oriented approach to the development of parallel programs. In this paper, I discuss the use of FORTRAN M as a tool for building earth system models on massively parallel computers. I hypothesize that the use of FORTRAN M has software engineering advantages and outline experiments that we are conducting to investigate this hypothesis.

Foster, I.

1992-01-01T23:59:59.000Z

367

FORTRAN M as a language for building earth system models  

SciTech Connect

FORTRAN M is a small set of extensions to FORTRAN 77 that supports a modular or object-oriented approach to the development of parallel programs. In this paper, I discuss the use of FORTRAN M as a tool for building earth system models on massively parallel computers. I hypothesize that the use of FORTRAN M has software engineering advantages and outline experiments that we are conducting to investigate this hypothesis.

Foster, I.

1992-12-31T23:59:59.000Z

368

Experiences of Using Models and Information of Building Automation System in Commissioning  

E-Print Network (OSTI)

Simulation programs are widely used in the design of heating and cooling devices. However, modeling of the whole building with simulation programs is exceptional at least in Finland. We have built and utilized whole building models in a...

Keranen, H.; Kalema, T.; Pesonen, A.

2004-01-01T23:59:59.000Z

369

Efficient 3D building model generation from 2D floor plans  

E-Print Network (OSTI)

3D building models are beneficial to architects, interior designers, and ordinary people in visualizing indoor space in three dimensions. 3D building models appear to be more aesthetic to ordinary people than architectural ...

Kashlev, Dmitry

2008-01-01T23:59:59.000Z

370

Reduced-Reference Image Quality Assessment Using A Wavelet-Domain Natural Image Statistic Model  

E-Print Network (OSTI)

Reduced-Reference Image Quality Assessment Using A Wavelet-Domain Natural Image Statistic Model information about the reference images. In this paper, we propose an RR image quality assessment method based on a natural image statistic model in the wavelet transform domain. We use the Kullback-Leibler distance

Wang, Zhou

371

Building Energy Simulation Test for Existing Homes (BESTEST-EX): Instructions for Implementing the Test Procedure, Calibration Test Reference Results, and Example Acceptance-Range Criteria  

NLE Websites -- All DOE Office Websites (Extended Search)

Building Energy Simulation Test for Building Energy Simulation Test for Existing Homes (BESTEST-EX): Instructions for Implementing the Test Procedure, Calibration Test Reference Results, and Example Acceptance-Range Criteria Ron Judkoff, Ben Polly, and Marcus Bianchi National Renewable Energy Laboratory Joel Neymark J. Neymark & Associates Mike Kennedy Mike D. Kennedy, Inc. Link to Accompanying Zipped Data Files (3.9 MB) This document is intended for use with the following documents: Building Energy Simulation Test for Existing Homes (BESTEST-EX), NREL/TP-550-47427 Example Procedures for Developing Acceptance-Range Criteria for BESTEST-EX, NREL/TP-550-47502 Technical Report NREL/TP-5500-52414 August 2011 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy

372

Map algebra and model algebra for integrated model building  

Science Journals Connector (OSTI)

Computer models are important tools for the assessment of environmental systems. A seamless workflow of construction and coupling of model components is essential for environmental scientists. However, currently available software packages are often ... Keywords: Biomass-harvest model, Component-based modelling, PCRaster, Python, Spatio-temporal simulation

Oliver Schmitz; Derek Karssenberg; Kor De Jong; Jean-Luc De Kok; Steven M. De Jong

2013-10-01T23:59:59.000Z

373

A systematic approach to occupancy modeling in ambient sensor-rich buildings  

Science Journals Connector (OSTI)

With ever-rising energy demand and diminishing sources of inexpensive energy resources, energy conservation has become an increasingly important topic. Building heating, ventilation, and air conditioning (HVAC) systems are considered to be a prime target ... Keywords: Building energy conservation, ambient sensing, building energy simulation, intelligent buildings, occupancy modeling

Zheng Yang, Nan Li, Burcin Becerik-Gerber, Michael Orosz

2014-08-01T23:59:59.000Z

374

Defining Multi-Disciplinary Views of a Computer Model of Buildings  

E-Print Network (OSTI)

Defining Multi-Disciplinary Views of a Computer Model of Buildings Robert W. Amor and Dr John G is the development, and maintenance, of multiple views of the building model as required by different disciplines method of accessing information in product data models to facilitate use by different building

Amor, Robert

375

misunderstanding the factors shaping species distributions. By building `over fit' models, with excessive flexibility, we  

E-Print Network (OSTI)

1267 misunderstanding the factors shaping species distributions. By building `over fit' models, with excessive flexibility, we risk inadvertently ascribing pattern to noise or building opaque models. As such for particular study objectives is challenging. By building `under fit' models, having insufficient flexibility

Zimmermann, Niklaus E.

376

Modeling Urbanization Using Spatial Building Patterns Selim Aksoy and Emel Dogrusoz  

E-Print Network (OSTI)

Modeling Urbanization Using Spatial Building Patterns Selim Aksoy and Emel Dogrus¨oz Department,emelkaya}@cs.bilkent.edu.tr Abstract Automatic extraction of buildings and modeling of their spatial arrangements provide essential objects such as buildings and their structure in an urban setting. Alternative techniques model

Aksoy, Selim

377

Pseudo Dynamic Transitional Modeling of Building Heating Energy Demand Using Artificial1 Neural Network2  

E-Print Network (OSTI)

Transitional Modeling of Building Heating Energy Demand Using Artificial1 Neural Network2 Subodh Paudel a.Lecorre@mines-nantes.fr9 Abstract10 This paper presents the building heating demand prediction model with occupancy profile Institution15 building and compared its results with static and other pseudo dynamic neural network models

Paris-Sud XI, Université de

378

Equivalent Static Wind Loads on Buildings: New Model Xinzhong Chen1  

E-Print Network (OSTI)

Equivalent Static Wind Loads on Buildings: New Model Xinzhong Chen1 and Ahsan Kareem2 Abstract: In current design practice, spatiotemporally varying wind loads on buildings are modeled as equivalent static on buildings are modeled as equivalent static wind loads (ESWLs). This loading description serves as pivotal

Chen, Xinzhong

379

2.5D Building Modeling by Discovering Global Regularities Qian-Yi Zhou  

E-Print Network (OSTI)

2.5D Building Modeling by Discovering Global Regularities Qian-Yi Zhou University of Southern@graphics.usc.edu Abstract We introduce global regularities in the 2.5D building modeling problem, to reflect the orientation of both geometry and human judge- ment. 1. Introduction Building modeling is a critical problem of 3D

Shahabi, Cyrus

380

Interactive Model Building Environments Anders Bouwer, Vania Bessa Machado and Bert Bredeweg  

E-Print Network (OSTI)

- 1 - Interactive Model Building Environments Anders Bouwer, Vania Bessa Machado and Bert Bredeweg - Abstract Interactive model building environments are educational software systems which support scientific investigation by allowing students to build models and experiment with them. The basic idea is that students use

Bouwer, Anders

Note: This page contains sample records for the topic "reference building models" 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

Data Abstraction Form for population PK, PD publications MODEL BUILDING Data Abstraction Form  

E-Print Network (OSTI)

Data Abstraction Form for population PK, PD publications MODEL BUILDING 1 Data Abstraction Form for population PK/PD publications MODEL BUILDING Brendel K.1* , Dartois C.2* , Comets E.1 , Lemenuel-Diot A.3;Data Abstraction Form for population PK, PD publications MODEL BUILDING 2 Table of contents Purpose

Boyer, Edmond

382

Model Reduction for Indoor-Air Behavior in Control Design for Energy-Efficient Buildings  

E-Print Network (OSTI)

Model Reduction for Indoor-Air Behavior in Control Design for Energy-Efficient Buildings Jeff models for the indoor-air environment in control design for energy efficient buildings. In one method by a desire to incorporate models of the indoor-air environment in the design of energy efficient buildings

Gugercin, Serkan

383

Building starting model for full waveform inversion from wide-aperture data by stereotomography  

E-Print Network (OSTI)

Building starting model for full waveform inversion from wide-aperture data by stereotomography CGG Veritas, Massy, France; 3 LGIT - UJF - CNRS, France Abstract Building reliable starting model). In this study, we assess the stereotomography as a tool to build reliable starting model for frequency

Vallée, Martin

384

Ventilation performance prediction for buildings: Model Assessment Qingyan Chena,b,*  

E-Print Network (OSTI)

1 Ventilation performance prediction for buildings: Model Assessment Qingyan Chena,b,* , Kisup Leeb building, but cannot provide detailed flow information in a room. The zonal model can be useful when a user ventilation systems for buildings requires a suitable model to assess system performance. The performance can

Chen, Qingyan "Yan"

385

PHYSICAL REVIEW B 87, 035125 (2013) Compressive sensing as a paradigm for building physics models  

E-Print Network (OSTI)

PHYSICAL REVIEW B 87, 035125 (2013) Compressive sensing as a paradigm for building physics models of finding the key descriptive variables. CS is a powerful paradigm for model building; we show that its in efficiency and conceptual clarity are achieved by building models that express the quantity of interest

Hart, Gus

386

TIME-VARYING LINEAR MODEL APPROXIMATION: APPLICATION TO THERMAL AND AIRFLOW BUILDING SIMULATION  

E-Print Network (OSTI)

TIME-VARYING LINEAR MODEL APPROXIMATION: APPLICATION TO THERMAL AND AIRFLOW BUILDING SIMULATION the computing time is still an open challenge. After spacial discretisation, the thermal model of a building is demonstrated by its application to the simulation of a multi-zones building. THERMAL AND AIRFLOW MODELS

Paris-Sud XI, Université de

387

Component-based Modeling of Complete Buildings Luc Leblanc Jocelyn Houle Pierre Poulin  

E-Print Network (OSTI)

Component-based Modeling of Complete Buildings Luc Leblanc Jocelyn Houle Pierre Poulin LIGUM, Dept Graphics [I.3.5]: Computational Geom- etry and Object Modeling 1 INTRODUCTION Buildings host a great deal the buildings of a city, quickly becomes a daunting endeavor. Procedural modeling is an excellent method

Montréal, Université de

388

Calibration of Building Energy Models: Supercomputing, Big-Data and Machine-Learning  

E-Print Network (OSTI)

Modeling (BEM) is an approach to model the energy usage in buildings for design and retrofit purposesCalibration of Building Energy Models: Supercomputing, Big-Data and Machine-Learning Jibonananda Sanyal, Joshua New, Richard Edwards Energy and Environmental Sciences Directorate Building Energy

Wang, Xiaorui "Ray"

389

OpenStudio Enhancements for Whole-Building Daylighting, Airflow, and Energy Modeling Leveraging Interoperable Building Information Modeling Data- 2014 BTO Peer Review  

Energy.gov (U.S. Department of Energy (DOE))

Presenter: John Messner, the Pennsylvania State University Consortium for Building Energy Innovation Energy modeling often is inconsistently applied in the small- and medium-sized commercial building (SMSCB) market, in part because existing models are either too complex relative to the project size or because models are not interoperable with other retrofit design tools.

390

Building Component Library | Open Energy Information  

Open Energy Info (EERE)

Building Component Library Building Component Library Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Building Component Library Agency/Company /Organization: NREL Sector: Energy Focus Area: Buildings Phase: Create a Vision, Evaluate Options, Develop Goals, Prepare a Plan Topics: Resource assessment, Technology characterizations Resource Type: Dataset Website: bcl.nrel.gov Cost: Free OpenEI Keyword(s): buildings, nrel, data, component Language: English Building Component Library Screenshot References: Buildings Component Library[1] The Building Component Library is a repository of building data used to create building energy models. The Building Component Library is a repository of building data used to create building energy models. The data are broken down into separate

391

Property:Buildings/ModelClimateZone | Open Energy Information  

Open Energy Info (EERE)

ModelClimateZone ModelClimateZone Jump to: navigation, search This is a property of type Page. It links to pages that use the form Buildings Model. The allowed values for this property are: Climate Zone 1A Climate Zone 1B Climate Zone 2A Climate Zone 2B Climate Zone 3A Climate Zone 3B Climate Zone 3C Climate Zone 4A Climate Zone 4B Climate Zone 4C Climate Zone 5A Climate Zone 5B Climate Zone 5C Climate Zone 6A Climate Zone 6B Climate Zone 7A Climate Zone 7B Climate Zone 8A Climate Zone 8B Pages using the property "Buildings/ModelClimateZone" Showing 12 pages using this property. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + Climate Zone 5A + General Merchandise 2009 TSD Chicago High Plug Load Baseline + Climate Zone 5A + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + Climate Zone 5A +

392

Validation of the Window Model of the Modelica Buildings Library  

E-Print Network (OSTI)

Recent developments of the Modelica buildings library forthe 8th International Modelica Conference. Dresden, Germany,transfer in rooms in the Modelica "Buildings" library. Proc.

Nouidui, Thierry Stephane

2014-01-01T23:59:59.000Z

393

A Sunspot Model for Energy Efficiency in Buildings  

Science Journals Connector (OSTI)

Studying the distribution of beam solar radiation in buildings is becoming more important with the emphasis ... the sunspot progression on walls of a Tunisian building is also presented.

Yosr Boukhris; Leila Gharbi; Nadia Ghrab-Morcos

2013-01-01T23:59:59.000Z

394

Reference genome sequence of the model plant Setaria  

SciTech Connect

We generated a high-quality reference genome sequence for foxtail millet (Setaria italica). The ~400-Mb assembly covers ~80% of the genome and >95% of the gene space. The assembly was anchored to a 992-locus genetic map and was annotated by comparison with >1.3 million expressed sequence tag reads. We produced more than 580 million RNA-Seq reads to facilitate expression analyses. We also sequenced Setaria viridis, the ancestral wild relative of S. italica, and identified regions of differential single-nucleotide polymorphism density, distribution of transposable elements, small RNA content, chromosomal rearrangement and segregation distortion. The genus Setaria includes natural and cultivated species that demonstrate a wide capacity for adaptation. The genetic basis of this adaptation was investigated by comparing five sequenced grass genomes. We also used the diploid Setaria genome to evaluate the ongoing genome assembly of a related polyploid, switchgrass (Panicum virgatum).

Bennetzen, Jeffrey L [ORNL; Schmutz, Jeremy [Hudson Alpha Institute of Biotechnology; Wang, Hao [University of Georgia, Athens, GA; Percifield, Ryan [University of Georgia, Athens, GA; Hawkins, Jennifer [University of Georgia, Athens, GA; Pontaroli, Ana C. [University of Georgia, Athens, GA; Estep, Matt [University of Georgia, Athens, GA; Feng, Liang [University of Georgia, Athens, GA; Vaughn, Justin N [ORNL; Grimwood, Jane [Hudson Alpha Institute of Biotechnology; Jenkins, Jerry [Hudson Alpha Institute of Biotechnology; Barry, Kerrie [U.S. Department of Energy, Joint Genome Institute; Lindquist, Erika [U.S. Department of Energy, Joint Genome Institute; Hellsten, Uffe [U.S. Department of Energy, Joint Genome Institute; Deshpande, Shweta [U.S. Department of Energy, Joint Genome Institute; Wang, Xuewen [University of Georgia, Athens, GA; Wu, Xiaomei [University of Georgia, Athens, GA; Mitros, Therese [University of California, Berkeley; Triplett, Jimmy [University of Missouri, St. Louis; Yang, Xiaohan [ORNL; Ye, Chuyu [ORNL; Mauro-Herrera, Margarita [Oklahoma State University; Wang, Lin [Cornell University; Li, Pinghua [Cornell University; Sharma, Manoj [University of California, Davis; Sharma, Rita [University of California, Davis; Ronald, Pamela [University of California, Davis; Panaud, Olivier [Universite de Perpignan, Perpignan, France; Kellogg, Elizabeth A. [University of Missouri, St. Louis; Brutnell, Thomas P. [Cornell University; Doust, Andrew N. [Oklahoma State University; Tuskan, Gerald A [ORNL; Rokhsar, Daniel [U.S. Department of Energy, Joint Genome Institute; Devos, Katrien M [ORNL

2012-01-01T23:59:59.000Z

395

Building Scientific Workflows for Earth System Modelling with Windows Workflow Foundation  

E-Print Network (OSTI)

Building Scientific Workflows for Earth System Modelling with Windows Workflow Foundation Matthew J developed a framework for the composition, execution and management of integrated Earth system models

396

Using FMEA models and ontologies to build diagnostic models  

Science Journals Connector (OSTI)

Product design and diagnosis are, today, worlds apart. Despite strong areas of overlap at the ontological level, traditional design process theory and practice does not recognize diagnosis as a part of the modeling process chain; neither do diagnosis ... Keywords: Bayesian Belief Networks, Design FMEA, Design-Diagnosis Integration, Diagnostic Modeling, Knowledge Engineering Framework, Ontologies

Burton H. Lee

2001-09-01T23:59:59.000Z

397

Property:Buildings/ModelType | Open Energy Information  

Open Energy Info (EERE)

ModelType ModelType Jump to: navigation, search This is a property of type String. The allowed values for this property are: Baseline Minimum Cost Max Tech PV Takeoff Cost Neutral 30% Energy Savings 50% Energy Savings 70% Energy Savings Other Pages using the property "Buildings/ModelType" Showing 12 pages using this property. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + 50% Energy Savings + General Merchandise 2009 TSD Chicago High Plug Load Baseline + Baseline + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + 50% Energy Savings + General Merchandise 2009 TSD Chicago Low Plug Load Baseline + Baseline + General Merchandise 2009 TSD Miami High Plug Load 50% Energy Savings + 50% Energy Savings + General Merchandise 2009 TSD Miami High Plug Load Baseline + Baseline +

398

Property:Buildings/ModelName | Open Energy Information  

Open Energy Info (EERE)

ModelName ModelName Jump to: navigation, search This is a property of type String. Pages using the property "Buildings/ModelName" Showing 12 pages using this property. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + General Merchandise 2009 TSD Chicago High Plug Load Baseline + General Merchandise 2009 TSD Chicago High Plug Load Baseline + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + General Merchandise 2009 TSD Chicago Low Plug Load Baseline + General Merchandise 2009 TSD Chicago Low Plug Load Baseline + General Merchandise 2009 TSD Miami High Plug Load 50% Energy Savings + General Merchandise 2009 TSD Miami High Plug Load 50% Energy Savings +

399

Property:Buildings/ModelTargetType | Open Energy Information  

Open Energy Info (EERE)

ModelTargetType ModelTargetType Jump to: navigation, search This is a property of type String. The allowed values for this property are: ASHRAE 90.1 2007 ASHRAE 90.1 2004 ASHRAE 189.1 LEED Pages using the property "Buildings/ModelTargetType" Showing 12 pages using this property. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + ASHRAE 90.1 2004 + General Merchandise 2009 TSD Chicago High Plug Load Baseline + ASHRAE 90.1 2004 + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + ASHRAE 90.1 2004 + General Merchandise 2009 TSD Chicago Low Plug Load Baseline + ASHRAE 90.1 2004 + General Merchandise 2009 TSD Miami High Plug Load 50% Energy Savings + ASHRAE 90.1 2004 + General Merchandise 2009 TSD Miami High Plug Load Baseline + ASHRAE 90.1 2004 +

400

Validation of Simulated Thermal Comfort using a Calibrated Building Energy Simulation (BES) model in the context of Building Performance Evaluation & Optimisation  

E-Print Network (OSTI)

Building Energy Simulation (BES) models play a significant role in the design and optimisation of buildings. Simulation models may be used to compare the cost-effectiveness of Energy- Conservation Measures (ECMs) in the design stage as well...

Coakley, D.; Corry, E. J.; Keane, M. M.

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "reference building models" 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

Building ventilation : a pressure airflow model computer generation and elements of  

E-Print Network (OSTI)

Building ventilation : a pressure airflow model computer generation and elements of validation H - design #12;1- Introduction Regarding the number of airflow network models found in building publications Abstract : The calculation of airflows is of great importance for detailed building thermal simulation

Paris-Sud XI, Université de

402

Critical Question #6: What are the Challenges and Solutions for Modeling Multifamily Buildings?  

Energy.gov (U.S. Department of Energy (DOE))

There are a lot of differences between modeling single-family and multifamily buildings in regard to central systems, shared walls, shared spaces, etc. What is the best way to optimize energy efficiency packages? How does Building America work around the challenges of modeling these buildings? What tools do they have? What additions could improve the accuracy of simulation tools?

403

2008 Residential Building Efficiency Standards 1 Efficiency Ratings and Performance Modeling Inputs  

E-Print Network (OSTI)

Residential Building Efficiency Standards 2 a. Refrigerant charge and metering (Reference Appendices, RA3 Cooling · SplitHeatPump: SEER 13 · Refrigerant charge (or charge indicator light), watts/cfm and air flow.2), or presence of charge indicator display (Reference Appendices, RA3.4) b. Air system fan flow and air handler

404

Computer Modeling VRF Heat Pumps in Commercial Buildings using EnergyPlus  

SciTech Connect

Variable Refrigerant Flow (VRF) heat pumps are increasingly used in commercial buildings in the United States. Monitored energy use of field installations have shown, in some cases, savings exceeding 30% compared to conventional heating, ventilating, and air-conditioning (HVAC) systems. A simulation study was conducted to identify the installation or operational characteristics that lead to energy savings for VRF systems. The study used the Department of Energy EnergyPlus? building simulation software and four reference building models. Computer simulations were performed in eight U.S. climate zones. The baseline reference HVAC system incorporated packaged single-zone direct-expansion cooling with gas heating (PSZ-AC) or variable-air-volume systems (VAV with reheat). An alternate baseline HVAC system using a heat pump (PSZ-HP) was included for some buildings to directly compare gas and electric heating results. These baseline systems were compared to a VRF heat pump model to identify differences in energy use. VRF systems combine multiple indoor units with one or more outdoor unit(s). These systems move refrigerant between the outdoor and indoor units which eliminates the need for duct work in most cases. Since many applications install duct work in unconditioned spaces, this leads to installation differences between VRF systems and conventional HVAC systems. To characterize installation differences, a duct heat gain model was included to identify the energy impacts of installing ducts in unconditioned spaces. The configuration of variable refrigerant flow heat pumps will ultimately eliminate or significantly reduce energy use due to duct heat transfer. Fan energy is also studied to identify savings associated with non-ducted VRF terminal units. VRF systems incorporate a variable-speed compressor which may lead to operational differences compared to single-speed compression systems. To characterize operational differences, the computer model performance curves used to simulate cooling operation are also evaluated. The information in this paper is intended to provide a relative difference in system energy use and compare various installation practices that can impact performance. Comparative results of VRF versus conventional HVAC systems include energy use differences due to duct location, differences in fan energy when ducts are eliminated, and differences associated with electric versus fossil fuel type heating systems.

Raustad, Richard

2013-06-01T23:59:59.000Z

405

Simulation of Wind Flow Around a Building with a k? Model  

Science Journals Connector (OSTI)

The three-dimensional numerical simulation of airflow around a building using a k...? two-equation turbulence model is presented in this paper. Several cases of numerical simulation of airflow around a building ...

Heng Sun; Suyi Huang

2001-01-01T23:59:59.000Z

406

A Decision-Making Model for the Asian Intelligent Building Index  

E-Print Network (OSTI)

The paper presents a multi-criteria decision-making model to evaluate the sustainable performances of intelligent buildings based on the Asian IB index, which is recommended by the Asian Institute of Intelligent Buildings. To undertake this task...

Hong, J.; Chen, Z.; Li, H.; Xu, Q.

2006-01-01T23:59:59.000Z

407

Modeling National Impacts for the Building America Program  

SciTech Connect

In this paper we present a model to estimate the nationalenergy and economic impacts of the Department of Energy Building Americaprogram. The program goal is to improve energy performance in newresidential construction, by working with builders to design andconstruct energy-efficient homes at minimal cost. The model is anadaptation of the method used to calculate the national energy savingsfor appliance energy efficiency standards. The main difference is thatthe key decision here is not the consumer decision to buy anefficienthouse, but rather the builder decision to offer such a house inthe market. The builder decision is treated by developing a number ofscenarios in which the relative importance of first costs vs. energysavings is varied.

Coughlin, Katie M.; McNeil, Michael A.

2006-06-15T23:59:59.000Z

408

Experimental Wave Tank Test for Reference Model 3 Floating-Point...  

NLE Websites -- All DOE Office Websites (Extended Search)

Experimental Wave Tank Test for Reference Model 3 Floating- Point Absorber Wave Energy Converter Project Y.-H. Yu, M. Lawson, and Y. Li National Renewable Energy Laboratory M....

409

FORTRAN M AS A LANGUAGE FOR BUILDING EARTH SYSTEM MODELS \\Lambda  

E-Print Network (OSTI)

FORTRAN M AS A LANGUAGE FOR BUILDING EARTH SYSTEM MODELS \\Lambda Ian Foster Mathematics as a tool for building earth system models on massively parallel computers. I hypothesize that the use to investigate this hypothe­ sis. 2. Earth System Models An earth system model is a computer code designed

410

State-based Modeling of Buildings and Facilities  

E-Print Network (OSTI)

.g. starting heating at unconventional times). Therefore we defined a methodology starting already at the design of the building leading to a formalized specification of the implementation of a building's management system, which seamlessly integrates...

Fisch, M.N.; Pinkernell, C.; Look, M.; Plesser, S.; Rumpe, B.

2011-01-01T23:59:59.000Z

411

Natural ventilation in buildings : modeling, control and optimization  

E-Print Network (OSTI)

Natural ventilation in buildings has the potential to reduce the energy consumption usually associated with mechanical cooling while maintaining thermal comfort and air quality. It is important to know how building parameters, ...

Ip Kiun Chong, Karine

2014-01-01T23:59:59.000Z

412

DOE Refers Two ENERGY STAR Models to EPA for Potential De-Listing |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Refers Two ENERGY STAR Models to EPA for Potential De-Listing Refers Two ENERGY STAR Models to EPA for Potential De-Listing DOE Refers Two ENERGY STAR Models to EPA for Potential De-Listing January 11, 2012 - 11:00am Addthis U.S. Department of Energy ("DOE") testing has identified one refrigerator-freezer that does not meet the ENERGY STAR program's energy efficiency requirement and one dishwasher that may not meet an ENERGY STAR requirement. Dayton-brand refrigerator-freezer model 5NTX1, imported by Grainger Global Sourcing ("Grainger"), and ASKO Appliances, Inc. ("ASKO") dishwasher model D5253XXL were selected for testing as part of the DOE ENERGY STAR Verification Testing Program. DOE testing revealed that Grainger's Dayton-brand model 5NTX1 does not meet the ENERGY STAR energy efficiency requirement. The four tested units

413

DOE Refers Two ENERGY STAR Models to EPA for Potential De-Listing |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

DOE Refers Two ENERGY STAR Models to EPA for Potential De-Listing DOE Refers Two ENERGY STAR Models to EPA for Potential De-Listing DOE Refers Two ENERGY STAR Models to EPA for Potential De-Listing January 11, 2012 - 11:00am Addthis U.S. Department of Energy ("DOE") testing has identified one refrigerator-freezer that does not meet the ENERGY STAR program's energy efficiency requirement and one dishwasher that may not meet an ENERGY STAR requirement. Dayton-brand refrigerator-freezer model 5NTX1, imported by Grainger Global Sourcing ("Grainger"), and ASKO Appliances, Inc. ("ASKO") dishwasher model D5253XXL were selected for testing as part of the DOE ENERGY STAR Verification Testing Program. DOE testing revealed that Grainger's Dayton-brand model 5NTX1 does not meet the ENERGY STAR energy efficiency requirement. The four tested units

414

Modeling Zero Energy Building: technical and economical optimization Maria Ferrara1-2  

E-Print Network (OSTI)

1 Modeling Zero Energy Building: technical and economical optimization Maria Ferrara1-2 , Joseph by the recast of Energy Performance of Buildings. The aim of this work is to provide a useful method to deal combines the use of TRNSYS, building energy simulation program, with GenOpt, Generic Optimization program

Paris-Sud XI, Université de

415

Constraint Driven Model Using Correlation and Collaborative Filtering for Sustainable Building  

E-Print Network (OSTI)

Constraint Driven Model Using Correlation and Collaborative Filtering for Sustainable Building Hsin Miami, FL 33199, USA Abstract Sustainable building has emerged as an important topic due to the fact gaining wider acceptance for many sustainable building projects. However, manag- ing design

Chen, Shu-Ching

416

Conversion of three-dimensional graphic building models into input data for building energy calculation program  

E-Print Network (OSTI)

and total floor area using the revision screens must to be emphasized. Figures 6 and 7 show the EnerCAD 92. 06 revision screens. 28 1. Proj. : OFFICE BUILDING 2. Site: ROCHESTER, NBW YORK 8 3. Rev. No. : SAMPLE CASE PAGE 1 4. Building Type: Office... and E. ter for MAIN MENU 08-30-1993 00 46 34 Fig. 6. EnerCAD 92. 06 first revision screen Proj . OFFICE BUILDING Sate. ROCHESTER, NEW YORK 4 Rev. No SAMpLE CAsE PAGE 2 The followrng d:faults were derrved f om your Input. Occ p ol' = 290 persors H W...

Hayek, Raja Fares

2012-06-07T23:59:59.000Z

417

Building Performance Simulation  

E-Print Network (OSTI)

of Three Building Energy Modeling Programs:andD. Zhu. Buildingenergymodelingprogramscomparison:Comparison of building energy modeling programs: HVAC

Hong, Tianzhen

2014-01-01T23:59:59.000Z

418

From the Building to the Grid: An Energy Revolution and Modeling...  

NLE Websites -- All DOE Office Websites (Extended Search)

From the Building to the Grid: An Energy Revolution and Modeling Challenge June 6 and 7, 2012 University College Dublin, Electricity Research Centre Location: UCD, Engineering...

419

Modeling of Heat Transfer in Rooms in the Modelica Buildings Library  

E-Print Network (OSTI)

Multizone Air- flow Model in Modelica. Edited by ChristianRecent developments of the Modelica buildings library forof the 8-th International Modelica Conference. Modelica

Wetter, Michael

2013-01-01T23:59:59.000Z

420

From the Building to the Grid: An Energy Revolution and Modeling...  

Office of Scientific and Technical Information (OSTI)

From the Building to the Grid: An Energy Revolution and Modeling Challenge Workshop Proceedings Benjamin Kroposki and Connie Komomua National Renewable Energy Laboratory Mark...

Note: This page contains sample records for the topic "reference building models" 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

Numerical modeling of mountain building: Interplay between erosion law and crustal rheology  

E-Print Network (OSTI)

Numerical modeling of mountain building: Interplay between erosion law and crustal rheology V. Cattin, and J. Lave´ (2004), Numerical modeling of mountain building: Interplay between erosion law by a 2D finite element model that incorporates the rheological layering of the crust and the main

Demouchy, Sylvie

422

ATOC/CHEM 5151 Challenge Problem 3 Building a Chemical Kinetics Model Part 1  

E-Print Network (OSTI)

ATOC/CHEM 5151 ­ Challenge Problem 3 Building a Chemical Kinetics Model ­ Part 1 Due Thursday expressions for the rates of changes of all species as the first step toward building a chemical model. Later, October 2, 2014 Final Version Models of atmospheric chemistry have become important tools for describing

Toohey, Darin W.

423

Development of whole-building energy performance models as benchmarks for retrofit projects  

Science Journals Connector (OSTI)

This paper presents a systematic development process of whole-building energy models as performance benchmarks for retrofit projects. Statistical regression-based models and computational performance models are being used for retrofit projects in industry ...

Omer Tugrul Karaguzel; Khee Poh Lam

2011-12-01T23:59:59.000Z

424

Appendix 3-1-Reflections on the data collection and modeling process In this document I briefly discuss the process used for data gathering, model building,  

E-Print Network (OSTI)

discuss the process used for data gathering, model building, and model analysis that I employed. Therefore I leave the comprehensive description of the qualitative research process and model building generation - July 2004: building a qualitative model - August 2004: Building a detailed simulation model

Rahmandad, Hazhir

425

DEVELOPMENT OF A PILED-FOUNDATION MODEL The models discussed in Chapter 3 illustrated the importance of modelling a building's foundation  

E-Print Network (OSTI)

the importance of modelling a building's foundation when investigating the performance of base-isolation. It was concluded that a generic base- isolated building model requires a comprehensive model of a piled foundation, as described in Chapter 5, is suitable for incorporation into a generic model of a base-isolated building. 4

Talbot, James P.

426

Data Analysis and Modeling of Lighting Energy Use in Large Office Buildings  

NLE Websites -- All DOE Office Websites (Extended Search)

Data Analysis and Modeling of Lighting Energy Use in Large Office Buildings Data Analysis and Modeling of Lighting Energy Use in Large Office Buildings Title Data Analysis and Modeling of Lighting Energy Use in Large Office Buildings Publication Type Conference Paper Year of Publication 2013 Authors Zhou, Xin, Da Yan, Xiaoxin Ren, and Tianzhen Hong Keywords building simulation, energy use, lighting, modeling, occupant beh building, occupant beh building simulation, occupant behbuilding simulation Abstract Lighting consumes about 20 to 40% of total electricity use in large office buildings in the U.S. and China. In order to develop better lighting simulation models it is crucial to understand the characteristics of lighting energy use. This paper analyzes the main characteristics of lighting energy use over various time scales, based on the statistical analysis of measured lighting energy use of 17 large office buildings in Beijing and Hong Kong. It was found that the daily 24-hour variations of lighting energy use were mainly driven by the schedule of the building occupants. Outdoor illumination levels have little impact on lighting energy use in large office buildings due to the lack of automatic daylighting controls and relatively small perimeter areas. A stochastic lighting energy use model was developed based on different occupant activities during six time periods throughout a day, and the annual distribution of lighting power across those periods. The model was verified using measured lighting energy use of one selected building. This study demonstrates how statistical analysis and stochastic modeling can be applied to lighting energy use. The developed lighting model can be adopted by building energy modeling programs to improve the simulation accuracy of lighting energy use.

427

Building an Efficient Model for Afterburn Energy Release  

SciTech Connect

Many explosives will release additional energy after detonation as the detonation products mix with the ambient environment. This additional energy release, referred to as afterburn, is due to combustion of undetonated fuel with ambient oxygen. While the detonation energy release occurs on a time scale of microseconds, the afterburn energy release occurs on a time scale of milliseconds with a potentially varying energy release rate depending upon the local temperature and pressure. This afterburn energy release is not accounted for in typical equations of state, such as the Jones-Wilkins-Lee (JWL) model, used for modeling the detonation of explosives. Here we construct a straightforward and efficient approach, based on experiments and theory, to account for this additional energy release in a way that is tractable for large finite element fluid-structure problems. Barometric calorimeter experiments have been executed in both nitrogen and air environments to investigate the characteristics of afterburn for C-4 and other materials. These tests, which provide pressure time histories, along with theoretical and analytical solutions provide an engineering basis for modeling afterburn with numerical hydrocodes. It is toward this end that we have constructed a modified JWL equation of state to account for afterburn effects on the response of structures to blast. The modified equation of state includes a two phase afterburn energy release to represent variations in the energy release rate and an afterburn energy cutoff to account for partial reaction of the undetonated fuel.

Alves, S; Kuhl, A; Najjar, F; Tringe, J; McMichael, L; Glascoe, L

2012-02-03T23:59:59.000Z

428

Estimation of Building Parameters Using Simplified Energy Balance Model and Metered Whole Building Energy Use  

E-Print Network (OSTI)

to the difference between the total energy entering and leaving the system. That is, CV entering leaving air cond sol occ E C H E E E Q Q Q Q Q E E ? ? ? ? ? ? ? ? ? ? (1) where Qair, Qcond, Qsol, Qocc, and QE are building heat load components from air... is defined as (Shao, 2006): BL E C H E C H air cond sol occ E Q E E fE E E Q Q Q Q ? ? ? ? ? ? ? ? ? ? ? (2) where EE is the metered whole-building non-cooling electricity use. The multiplicative factor f represents a fraction of EE which...

Masuda, H.; Claridge, D.

2012-01-01T23:59:59.000Z

429

Calibrating Building Energy Models Using Supercomputer Trained Machine Learning Agents  

E-Print Network (OSTI)

% of all natural gas produced in the United States thereby contributing 40% of the carbon dioxide a significant stake in improving the energy footprint and efficiency of the build- ings sector for economic- ergy savings. The large number of existing buildings that do not employ energy efficient technologies

Wang, Xiaorui "Ray"

430

The effect of simplifying the building description on the numerical modeling of its thermal performance  

SciTech Connect

A thermal building simulation program is a numerical model that calculates the response of the building envelopes to weather and human activity, simulates dynamic heating and cooling loads, and heating and cooling distribution systems, and models building equipment operation. The scope of the research is to supply the users of such programs with information about the dangers and benefits of simplifying the input to their models. The Introduction describes the advantages of modeling the heat transfer mechanisms in a building. The programs that perform this type of modeling have, however, limitations. The user is therefore often put in the situation of simplifying the floor plans of the building under study, but not being able to check the effects that this approximation introduces in the results of the simulation. Chapter 1 is a description of methods. It also introduces the floor plans for the office building under study and the ``reasonable`` floor plans simplifications. Chapter 2 presents DOE-2, the thermal building simulation program used in the sensitivity study. The evaluation of the accuracy of the DOE-2 program itself is also presented. Chapter 3 contains the sensitivity study. The complicated nature of the process of interpreting the temperature profile inside a space leads to the necessity of defining different building modes. The study compares the results from the model of the detailed building description with the results from the models of the same building having simplified floor plans. The conclusion is reached that a study of the effects of simplifying the floor plans of a building is important mainly for defining the cases in which this approximation is acceptable. Different results are obtained for different air conditioning/load regimes of the building. 9 refs., 24 figs.

Stetiu, C.

1993-07-01T23:59:59.000Z

431

`Big Chief': The Utilisation of Model Building for the Design of Science Education for Sustainable  

E-Print Network (OSTI)

`Big Chief': The Utilisation of Model Building for the Design of Science Education for Sustainable Development Games. Timothy Barker1 Abstract. A model building paradigm was employed to inform the design of a game for Science Education for Sustainable Development (ESD). The intention is that such techniques

Romano, Daniela

432

SOLAR MODELLING OF COMMERCIAL BUILDINGS Robert Amor, Michael Donn and Ian van der Werff  

E-Print Network (OSTI)

SOLAR MODELLING OF COMMERCIAL BUILDINGS Robert Amor, Michael Donn and Ian van der Werff Energy of modelling the thermal response of buildings. There have been two major obstacles precluding these programs an additional obstacle in the lack of comprehensive weather data files (containing the information required

Amor, Robert

433

PHYSICAL REVIEW B 83, 092202 (2011) Building block modeling technique: Application to ternary chalcogenide glasses  

E-Print Network (OSTI)

PHYSICAL REVIEW B 83, 092202 (2011) Building block modeling technique: Application to ternary; published 21 March 2011) For some glasses, there are fundamental units, "building blocks" (BBs), that exist in both the liquid and glassy phases. In this Brief Report, we introduce a systematic modeling technique

Drabold, David

434

NORTHWESTERN UNIVERSITY Building the Nanoplasmonics Toolbox Through Shape Modeling and Single Particle Optical  

E-Print Network (OSTI)

NORTHWESTERN UNIVERSITY Building the Nanoplasmonics Toolbox Through Shape Modeling and Single 2012 #12;2 © Copyright by Emilie Ringe 2012 All Rights Reserved #12;3 ABSTRACT Building the Nanoplasmonics Toolbox Through Shape Modeling and Single Particle Optical Studies Emilie Ringe Interest

Shull, Kenneth R.

435

Investigation of techniques to build generation system models for reliability evaluation  

E-Print Network (OSTI)

, the techniques to build this model are investigated in this thesis. By using the conventional unit addition algorithm, the number of states generated is large and this effects the time taken to build this model The reduction in the number of states results...

Gubbala, Nagalakshmi V.

2012-06-07T23:59:59.000Z

436

Study of Multifamily Energy Retrofit Using Flexible Multizone Building Simulation Model  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Study of Multifamily Study of Multifamily Energy Retrofit using Flexible, Multizone Building Simulation Model Piljae Im, Ph.D. Mini Malhotra, Ph.D. R&D Staff Oak Ridge National Laboratory Presented at Building America Technical Update Meeting April 29-30, 2013 Outline * Multifamily Energy Audit Tool - Background - Needs for MF Audit Tool - Existing MF Tools - Modeling Approach - Development Status * Case Study - Background - Pre/Post Retrofit Building characteristics - Whole Building Energy Analysis * Summary Managed by UT-Battelle for the U.S. Department of Energy Study of Multifamily Energy Retrofit using Flexible, Multizone Building Simulation Model 2 Background * New MF Building Energy Audit Tool sponsored by U.S. DOE * Collaboration of ORNL and LBNL * National web-based

437

Residential Buildings  

NLE Websites -- All DOE Office Websites (Extended Search)

Apartment building exterior and interior Apartment building exterior and interior Residential Buildings EETD's research in residential buildings addresses problems associated with whole-building integration involving modeling, measurement, design, and operation. Areas of research include the movement of air and associated penalties involving distribution of pollutants, energy and fresh air. Contacts Max Sherman MHSherman@lbl.gov (510) 486-4022 Iain Walker ISWalker@lbl.gov (510) 486-4692 Links Residential Building Systems Group Batteries and Fuel Cells Buildings Energy Efficiency Applications Commercial Buildings Cool Roofs and Heat Islands Demand Response Energy Efficiency Program and Market Trends High Technology and Industrial Systems Lighting Systems Residential Buildings Simulation Tools Sustainable Federal Operations

438

Usefulness of VRML building models in a direction finding context  

Science Journals Connector (OSTI)

......knowledge. However, 3D building tools, e.g. Autodesk 3ds Max (2006), are also available thus making...Symposium, Monterey, California, 16-19, ACM. Autodesk, 2006 http://usa.autodesk.com/adsk/servlet/item-w?siteID......

Pietro Murano; Dino Mackey

2007-05-01T23:59:59.000Z

439

Creative agencies : a model for building community capacity  

E-Print Network (OSTI)

This research investigates how existing initiatives based in artistic and non-artistic disciplines build indigenous capacity for leadership in disenfranchised communities through the application of the creative process. ...

Ramaccia, Elizabeth M. (Elizabeth Marie)

2011-01-01T23:59:59.000Z

440

Recommended requirements to code officials for solar heating, cooling, and hot water systems. Model document for code officials on solar heating and cooling of buildings  

SciTech Connect

These recommended requirements include provisions for electrical, building, mechanical, and plumbing installations for active and passive solar energy systems used for space or process heating and cooling, and domestic water heating. The provisions in these recommended requirements are intended to be used in conjunction with the existing building codes in each jurisdiction. Where a solar relevant provision is adequately covered in an existing model code, the section is referenced in the Appendix. Where a provision has been drafted because there is no counterpart in the existing model code, it is found in the body of these recommended requirements. Commentaries are included in the text explaining the coverage and intent of present model code requirements and suggesting alternatives that may, at the discretion of the building official, be considered as providing reasonable protection to the public health and safety. Also included is an Appendix which is divided into a model code cross reference section and a reference standards section. The model code cross references are a compilation of the sections in the text and their equivalent requirements in the applicable model codes. (MHR)

None

1980-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "reference building models" 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

A Momentum-Zonal Model for Predicting Zone Airflow and Temperature Distributions to Enhance Building Load and Energy Simulations  

E-Print Network (OSTI)

ABSTRACT Building load and energy simulation programs based on the complete-mixing air model fail between model complexity and capturing enough of the physics. For building load and energy calculations to building problems over the past 30 years including: complete-mixing, nodal-network models, zonal models

Chen, Qingyan "Yan"

442

Determination of Retrofit Savings Using a Calibrated Building Energy Simulation Model  

E-Print Network (OSTI)

in commercial buildings (Katipamula and Claridge 1991. Wu et al. 1992). Of all the modeling approaches, use of building energy simulation programs is considered most comprehensive. However, owing to the considerable uncertainty involved with various input... presents the results of a study lucted to develop a robust methodology to mine retrofit energy and cost savings in commercial buildings when few measured data are available for the preretrofit condition. Although the study focuses on commercial...

Reddy, S. N.; Hunn, B. D.; Hood, D. B.

1994-01-01T23:59:59.000Z

443

Continuous-time model reference adaptive control with improved transient performance  

E-Print Network (OSTI)

) for any piecewise continuous, uniformly bounded reference input signal r(t). In order to meet the control objective, we make the following standard assump- tions [26, 53] concerning the plant Gp(s) and the reference model I4 (s) ~ (Al) Rp(s) is a monic... polynomial of degree n. ~ (A2) Zp(s) is a monic Hurwitz polynomial of degree n, ( n. ~ (A3) The sign of kr and an upper bound k, ) 0 on [k?[ are known. Without any loss of generality, kr is assumed to be positive. Thus kr ( k ~ (A4) The relative degree n...

Ho, Ming-Tzu

1993-01-01T23:59:59.000Z

444

Petroleum Refinery Jobs and Economic Development Impact (JEDI) Model User Reference Guide  

SciTech Connect

The Jobs and Economic Development Impact (JEDI) models, developed through the National Renewable Energy Laboratory (NREL), are user-friendly tools utilized to estimate the economic impacts at the local level of constructing and operating fuel and power generation projects for a range of conventional and renewable energy technologies. The JEDI Petroleum Refinery Model User Reference Guide was developed to assist users in employing and understanding the model. This guide provides information on the model's underlying methodology, as well as the parameters and references used to develop the cost data utilized in the model. This guide also provides basic instruction on model add-in features, operation of the model, and a discussion of how the results should be interpreted. Based on project-specific inputs from the user, the model estimates job creation, earning and output (total economic activity) for a given petroleum refinery. This includes the direct, indirect and induced economic impacts to the local economy associated with the refinery's construction and operation phases. Project cost and job data used in the model are derived from the most current cost estimations available. Local direct and indirect economic impacts are estimated using economic multipliers derived from IMPLAN software. By determining the regional economic impacts and job creation for a proposed refinery, the JEDI Petroleum Refinery model can be used to field questions about the added value refineries may bring to the local community.

Goldberg, M.

2013-12-31T23:59:59.000Z

445

How does trench coupling lead to mountain building in the Subandes? A viscoelastoplastic finite element model  

E-Print Network (OSTI)

How does trench coupling lead to mountain building in the Subandes? A viscoelastoplastic finite element model Gang Luo1 and Mian Liu1 Received 10 June 2008; revised 3 December 2008; accepted 2 February cause of the Andean mountain building. The present-day crustal shortening in the Andes is clear from

Liu, Mian

446

Fusion of Feature-and Area-Based Information for Urban Buildings Modeling from Aerial Imagery  

E-Print Network (OSTI)

Fusion of Feature- and Area-Based Information for Urban Buildings Modeling from Aerial Imagery on Graph Cuts. The fusion pro- cess exploits the advantages of both information sources and thus yields the complete geometry of the build- ing. The fusion of those sparse features is very fragile as there is no way

Giger, Christine

447

Modeling Building Thermal Response to HVAC Virginia Smith, Tamim Sookoor, and Kamin Whitehouse  

E-Print Network (OSTI)

Modeling Building Thermal Response to HVAC Zoning Virginia Smith, Tamim Sookoor, and Kamin,sookoor,whitehouse}@virginia.edu Abstract. HVAC systems account for 38% of building energy usage. Studies have indicated at least 5 HVAC systems to enable room-level zoning where each room is conditioned in- dividually based on its

Whitehouse, Kamin

448

Buildings Performance Metrics Terminology  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Energy's Commercial Building Initiative Page 1 Energy's Commercial Building Initiative Page 1 January 2009 Buildings Performance Metrics Terminology To clarify how the terms are used in the Department of Energy's Performance Metrics Research Project, a list of terms related to performance metrics are defined and include examples and comments. Visit www.commercialbuildings.energy.gov/performance_metrics.html to learn more. Baseline - a standard reference case used as a basis for comparison Examples: a simulation model of an ASHRAE 90.1 compliant building, control building, measurement of energy consumption prior to application of an energy conservation measure Comments: Establishing a clearly defined baseline very important and is often the most difficult task. Defining a repeatable baseline is essential if the work is to be compared to results of other

449

Stochastic Modeling of Overtime Occupancy and Its Application in Building Energy Simulation and Calibration  

SciTech Connect

Overtime is a common phenomenon around the world. Overtime drives both internal heat gains from occupants, lighting and plug-loads, and HVAC operation during overtime periods. Overtime leads to longer occupancy hours and extended operation of building services systems beyond normal working hours, thus overtime impacts total building energy use. Current literature lacks methods to model overtime occupancy because overtime is stochastic in nature and varies by individual occupants and by time. To address this gap in the literature, this study aims to develop a new stochastic model based on the statistical analysis of measured overtime occupancy data from an office building. A binomial distribution is used to represent the total number of occupants working overtime, while an exponential distribution is used to represent the duration of overtime periods. The overtime model is used to generate overtime occupancy schedules as an input to the energy model of a second office building. The measured and simulated cooling energy use during the overtime period is compared in order to validate the overtime model. A hybrid approach to energy model calibration is proposed and tested, which combines ASHRAE Guideline 14 for the calibration of the energy model during normal working hours, and a proposed KS test for the calibration of the energy model during overtime. The developed stochastic overtime model and the hybrid calibration approach can be used in building energy simulations to improve the accuracy of results, and better understand the characteristics of overtime in office buildings.

Sun, Kaiyu; Yan , Da; Hong , Tianzhen; Guo, Siyue

2014-02-28T23:59:59.000Z

450

Model-Based Control: Development of a software tool for responsive building  

NLE Websites -- All DOE Office Websites (Extended Search)

Model-Based Control: Development of a software tool for responsive building Model-Based Control: Development of a software tool for responsive building research, design and operation Speaker(s): Brian Coffey Date: June 28, 2006 - 12:00pm Location: 90-4133 Seminar Host/Point of Contact: Peng Xu Model-based control approaches the problem of optimal supervisory control for complex building systems by using discrete timesteps and searching for an optimal control configuration at each timestep, using a detailed building model and an optimization algorithm. Although the approach itself is not new (it was proposed at least as early as 1988), it is only during the past five to ten years that readily-available computation power has allowed researchers to consider this approach with complex system models. Recent research has developed and tested this approach for active solar

451

Occupancy Modeling and Prediction for Building Energy Management  

Science Journals Connector (OSTI)

Heating, cooling and ventilation accounts for 35% energy usage in the United States. Currently, most modern buildings still condition rooms assuming maximum occupancy rather than actual usage. As a result, rooms are often over-conditioned needlessly. ... Keywords: HVAC, Occupancy, demand response, energy savings, machine learning, ventilation

Varick L. Erickson, Miguel . Carreira-Perpin, Alberto E. Cerpa

2014-04-01T23:59:59.000Z

452

Building Simulation Modelers Are we big data ready?  

E-Print Network (OSTI)

in 2030 has yet to be built 4 #12;5 Energy Consumption and Production Commercial Site Energy Consumption ASHRAE is a Registered Provider with The American Institute of Architects Continuing Education Systems.S. ­ 41% of primary energy/carbon 73% of electricity, 34% of gas · Buildings in China ­ 60% of urban

Tennessee, University of

453

Velocity model-building by 3D frequency-domain, full-waveform inversion of wide-aperture seismic data  

E-Print Network (OSTI)

Velocity model-building by 3D frequency-domain, full-waveform inversion of wide-aperture seismic, any approach that helps to auto- mate and optimize velocity model-building will speed up the output . The most common approaches for building a PSDM velocity model rely on reflection traveltime tomography e

Vallée, Martin

454

SKETCH-BASED BUILDING MODELLING David J. Olsen and Nathan D. Pitman and Sutirtha Basak and Burkhard C. Wunsche  

E-Print Network (OSTI)

SKETCH-BASED BUILDING MODELLING David J. Olsen and Nathan D. Pitman and Sutirtha Basak and Burkhard 3D models of buildings are an important component of many computer graphics applica- tions. Rapid and detailed geometry. We present a sketch-based modelling tool for the rapid creation of rough 3D building

Sun, Jing

455

Modelling and Extracting the Build-Time Software Architecture View Qiang Tu, Michael W. Godfrey, and Xinyi Dong  

E-Print Network (OSTI)

Modelling and Extracting the Build-Time Software Architecture View Qiang Tu, Michael W. Godfrey-known taxonomies of software ar- chitecture views. We present a simple notation for modelling build-time views, we of a toolkit for extracting and modelling build-time architectural views. 1 Introduction The grand goal

Godfrey, Michael W.

456

Z .ISPRS Journal of Photogrammetry & Remote Sensing 54 1999 153163 Two algorithms for extracting building models from raw laser  

E-Print Network (OSTI)

solutions for the determination of the parameters of a standard gable roof type building model based building models from raw laser altimetry data Hans-Gerd Maas ) , George Vosselman Delft Uni Two new techniques for the determination of building models from laser altimetry data are presented

Lefsky, Michael

457

Development of a High-Performance Office Building Simulation Model for a Hot and Humid Climate  

E-Print Network (OSTI)

to the field measured data and was presented in the previous publication (Cho and Haberl, 2008a). The calibrated simulation model was further extended to an ASHRAE 90.1 code-compliant model, which was used as the baseline model for the development of a... high-performance (energy-efficient) model. However, the code-compliant model did not use the as-built building geometry of the JBC building; rather, it used a simplified geometry. The simplified- geometry, code-compliant simulation model...

Cho, S.; Haberl, J.

458

Validation and Application of the Room Model of the Modelica Buildings  

NLE Websites -- All DOE Office Websites (Extended Search)

Validation and Application of the Room Model of the Modelica Buildings Validation and Application of the Room Model of the Modelica Buildings Library Title Validation and Application of the Room Model of the Modelica Buildings Library Publication Type Conference Proceedings LBNL Report Number LBNL-5932E Year of Publication 2012 Authors Nouidui, Thierry Stephane, Kaustubh Phalak, Wangda Zuo, and Michael Wetter Conference Name Proc. of the 9th International Modelica Conference Date Published 09/2012 Conference Location Munich, Germany Abstract The Modelica Buildings library contains a package with a model for a thermal zone that computes heat transfer through the building envelope and within a room. It considers various heat transfer phenomena of a room, including conduction, convection, short-wave and long-wave radiation. The first part of this paper describes the physical phenomena considered in the room model. The second part validates the room model by using a standard test suite provided by the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE). The third part focuses on an application where the room model is used for simulation-based controls of a window shading device to reduce building energy consumption.

459

Accounting for biological variability and sampling scale: a multi-scale approach to building epidemic models  

Science Journals Connector (OSTI)

...sedentary, by developing a multi-scale framework...individuals within families (or other social units...within parishes). The multi-scale framework developed...and sampling scale: a multi-scale approach to building epidemic models...

2007-01-01T23:59:59.000Z

460

From the Building to the Grid: an Energy Revolution and Modeling...  

NLE Websites -- All DOE Office Websites (Extended Search)

From the Building to the Grid: an energy revolution and modeling challenge Workshop Agenda May 1, 2012 7:45 am Security Check-in at NREL Visitors Center 8:00-8:30 Continental...

Note: This page contains sample records for the topic "reference building models" 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

Fuzzy Comprehensive Evaluation Model and Influence Factors Analysis on Comprehensive Performance of Green Buildings  

E-Print Network (OSTI)

management. In order to solve problems of subjectivity, uncertainty and impossibility of quantitative analysis when evaluating green building, this study establishes a multi-level fuzzy evaluation model by means of fuzzy mathematics method to analyze...

Sun, J.; Wu, Y.; Dai, Z.; Hao, Y.

2006-01-01T23:59:59.000Z

462

Webcast of the Renewable Energy Competency Model: An Aid to Build a Renewable Energy Skilled Workforce  

Energy.gov (U.S. Department of Energy (DOE))

The Department of Energy held a webcast titled "Renewable Energy Competency Model: An Aid to Build a Renewable Energy Skilled Workforce" on Monday, October 22, 2012. The Renewable Energy Competency...

463

Using Fourier Series to Model Hourly Energy Use in Commercial Buildings  

E-Print Network (OSTI)

Fourier series analysis is eminently suitable for modeling strongly periodic data. Weather independent energy use such as lighting and equipment load in commercial buildings is strongly periodic and is thus appropriate for Fourier series treatment...

Dhar, A.; Reddy, T. A.; Claridge, D. E.

1993-01-01T23:59:59.000Z

464

Improvements to building energy usage modeling during early design stages and retrofits  

E-Print Network (OSTI)

A variety of improvements to the MIT Design Advisor, a whole-building energy usage modeling tool intended for use during early design stages, are investigated. These include changes to the thermal mass temperature distribution ...

Mandelbaum, Andrew (Andrew Joseph)

2014-01-01T23:59:59.000Z

465

Fire modeling for Building 221-T - T Plant Canyon Deck and Railroad Tunnel  

SciTech Connect

This report was prepared by Hughes Associates, Inc. to document the results of fire models for building 221-T Canyon Deck and Railroad Tunnel. Backup data is contained in document No. WHC-SD-CP-ANAL-010, Rev. 0.

Oar, D.L.

1994-09-29T23:59:59.000Z

466

Handling model uncertainty in model predictive control for energy efficient buildings  

E-Print Network (OSTI)

trol for the operation of building cooling systems, IEEEK. Wirth, Energy ef?cient building climate control usingSagerschnig, E. Z ? ?cekov, Building [8] J. Pr vara, S.

Maasoumy, Mehdi; Razmara, M; Shahbakhti, M; Sangiovanni-Vincentelli, Alberto

2014-01-01T23:59:59.000Z

467

Towards a Very Low Energy Building Stock: Modeling the U.S. Commercial Building Sector to Support Policy and Innovation Planning  

SciTech Connect

This paper describes the origin, structure and continuing development of a model of time varying energy consumption in the US commercial building stock. The model is based on a flexible structure that disaggregates the stock into various categories (e.g. by building type, climate, vintage and life-cycle stage) and assigns attributes to each of these (e.g. floor area and energy use intensity by fuel type and end use), based on historical data and user-defined scenarios for future projections. In addition to supporting the interactive exploration of building stock dynamics, the model has been used to study the likely outcomes of specific policy and innovation scenarios targeting very low future energy consumption in the building stock. Model use has highlighted the scale of the challenge of meeting targets stated by various government and professional bodies, and the importance of considering both new construction and existing buildings.

Coffey, Brian; Borgeson, Sam; Selkowitz, Stephen; Apte, Josh; Mathew, Paul; Haves, Philip

2009-07-01T23:59:59.000Z

468

Energy Modeling of a High Performance Building in the U.A.E. for Sustainability Certification  

E-Print Network (OSTI)

voluntary LEED program. BUILDING CONCEPT AND MODELING Modeling The simulation tool used to analyze the energy per- formance of the Sheikh Zayed Desert Learning Centre is TRNSYS version 16.01 (Solar Energy Laboratory, Univ. of Wisconsin-Madison 2004...). TRNSYS is a dynamic simulation platform for simulating systems over time pe- riods from days to years at time-steps of seconds to hours. TRNSYS meets the requirements for LEED certification of energy performance through the whole building simu...

Jones, M.; Ledinger, S.

2010-01-01T23:59:59.000Z

469

Tips for Planning, Building, and Testing a Model Car  

NLE Websites -- All DOE Office Websites (Extended Search)

Tips for Planning, Building, and Testing Your Lithium- Ion Battery Powered Car CONTENTS:  Teacher Overview  What Teachers Can Do To Help  Student Design Plan  Brainstorming  Materials  Chassis Design  Transmission  Gear Ratio  Wheels and Bearings  Battery  Testing  Trouble Shooting TEACHER OVERVIEW  The Lithium-ion battery powered car competition is designed to be an engineering challenge for middle school students.  Students will be exploring the following concepts while planning, building and testing their cars:  Alternative energy sources  Engineering design  Aerodynamics  Force and motion  Teamwork  Problem solving  Teams who do not have a completed car at the

470

AN INITIAL MODEL OF A BASE-ISOLATED BUILDING When modelling a physical system there is always a compromise between adequately accounting  

E-Print Network (OSTI)

44 Chapter 3 AN INITIAL MODEL OF A BASE-ISOLATED BUILDING When modelling a physical system and convenient model will incorporate only the essential dynamic behaviour of the building and its foundation that a theoretical, rather than empirical, model is most suitable for a base-isolated building. This chapter

Talbot, James P.

471

AHAM: A Dexterbased Reference Model for Adaptive Paul De Bra \\Lambda , GeertJan Houben y and Hongjing Wu  

E-Print Network (OSTI)

AHAM: A Dexter­based Reference Model for Adaptive Hypermedia Paul De Bra \\Lambda , Geert­Jan Houben applications. In this paper we describe a reference model for adaptive hy­ permedia applications, called AHAM to be able to explain AHAM rather than formally specify it. AHAM aug­ ments Dexter with features for doing

Houben, Geert-Jan

472

Solid waste projection model: Database version 1. 0 technical reference manual  

SciTech Connect

The Solid Waste Projection Model (SWPM) system is an analytical tool developed by Pacific Northwest Laboratory (PNL) for Westinghouse Hanford Company (WHC). The SWPM system provides a modeling and analysis environment that supports decisions in the process of evaluating various solid waste management alternatives. This document, one of a series describing the SWPM system, contains detailed information regarding the software and data structures utilized in developing the SWPM Version 1.0 Database. This document is intended for use by experienced database specialists and supports database maintenance, utility development, and database enhancement. Those interested in using the SWPM database should refer to the SWPM Database User's Guide. 14 figs., 6 tabs.

Carr, F.; Bowman, A.

1990-11-01T23:59:59.000Z

473

Influence Of Three Dynamic Predictive Clothing Insulation Models On Building Energy Use, HVAC Sizing And Thermal Comfort  

E-Print Network (OSTI)

Predictive Clothing Insulation Models based on Outdoor AirPREDICTIVE CLOTHING INSULATION MODELS ON BUILDING ENERGYthat the clothing insulation is equal to a constant value of

Schiavon, Stefano; Lee, Kwang Ho

2013-01-01T23:59:59.000Z

474

DATA ANALYSIS AND MODELING OF LIGHTING ENERGY USE IN LARGE OFFICE BUILDINGS  

NLE Websites -- All DOE Office Websites (Extended Search)

DATA ANALYSIS AND MODELING OF LIGHTING ENERGY USE IN DATA ANALYSIS AND MODELING OF LIGHTING ENERGY USE IN LARGE OFFICE BUILDINGS Xin Zhou 1 , Da Yan 1, , Xiaoxin Ren 1 , Tianzhen Hong 2 1 Department of Building Science, School of Architecture, Tsinghua University, Beijing, China 2 Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA ABSTRACT Lighting consumes about 20 to 40% of total electricity use in large office buildings in the U.S. and China. In order to develop better lighting simulation models it is crucial to understand the characteristics of lighting energy use. This paper analyzes the main characteristics of lighting energy use over various time scales, based on the statistical analysis of measured lighting energy use of 17 large office buildings in Beijing and Hong Kong. It was found that the daily 24-hour

475

Automatic Calibration of a Building Energy Simulation Model Using a Global Optimization Program  

E-Print Network (OSTI)

optimization process minimizing the error between measured and simulated energy consumption. The ?measured? data used in this case was generated by the simulation program and will be referred to as synthetic measured data. The accuracy of calibration...). It is used to prove the possibility of automatic calibration through an optimization process. Synthetic ?data? was generated by the simulation program. This synthetic measured heating and cooling energy consumption data for the prototype building...

Lee, S. U.; Claridge, D.

2002-01-01T23:59:59.000Z

476

Thermal conditions in buildings-advances of acausal OO modelling in comparison with traditional approach  

Science Journals Connector (OSTI)

The paper deals with some important aspects of continuous systems modelling approaches. Namely the traditional approach is based on block oriented schemes in which causal relations play an important role. However this causality is artificially generated ... Keywords: acausal modelling, intelligent building, object oriented modelling, simulation, thermal flows

Borut Zupan?i?; Anton Sodja

2008-11-01T23:59:59.000Z

477

Sacks R. (1998), `Issues in the Development and Implementation of a Building Project Model for an Automated Building System', International Journal of Construction Information Technology, Salford University, Salford  

E-Print Network (OSTI)

designed to support computer-based integration between various construction applications, it is proposed of an Automated, Computer Integrated Building Realization System is to automatically generate all of the information required for the design, planning and execution of a building project. The project model forms

Sacks, Rafael

478

Supporting Multidisciplinary Vehicle Analysis Using a Vehicle Reference Architecture Model in SysML  

Science Journals Connector (OSTI)

To develop competitive vehicles with ever increasing complexity, automotive designers need to improve their ability to explore a broad range of system architectures efficiently and effectively. Whereas traditional vehicle systems are based on internal combustion (IC) engines, today's environmentally conscious vehicle manufacturers must consider alternatives to the IC engine- only systems such as hybrid or electric systems. To design a good vehicle, it is necessary to analyze each of these system architectures from a variety of perspectives including performance, fuel economy, or even thermal behavior. Creating all the necessary analysis models for all possible system architectures manually is very time-consuming, expensive, and error-prone. To overcome such challenges, a novel approach has been developed for partly automatically generating subsystem model templates to support the integration of analysis models in a consistent and convenient fashion. The approach starts from a Vehicle Reference Architecture (VRA) model defined in the Systems Modeling Language (OMG SysMLTM). After specialization of this VRA into a specific vehicle program model, this SysML model is automatically transformed into Modelica and Simulink templates for the corresponding analysis models. These templates embody interfaces that fit into a system-level integrated model so that individual subsystem experts can focus on modeling the physical or controls behavior of their particular subsystem without having to worry about subsequent integration issues. The subsystem template models guarantee consistency in the integration phase. The entire approach introduced in this paper is called the Vehicle Architecture Modeling Framework (VAMF), which includes the SysML VRA model, the corresponding analysis templates, and the transformation tools developed to support the approach. Throughout this paper, a specific (realistic but sanitized) vehicle program and a full pedal acceleration analysis test scenario are used as demonstration examples.

Jaclyn M. Branscomb; Christiaan J.J. Paredis; Judy Che; Mark J. Jennings

2013-01-01T23:59:59.000Z

479

Semantic Building Blocks for 21st Century Building Engineering  

NLE Websites -- All DOE Office Websites (Extended Search)

Semantic Building Blocks for 21st Century Building Engineering Semantic Building Blocks for 21st Century Building Engineering Speaker(s): Mark Palmer Date: October 2, 2009 - 12:00pm Location: 90-3122 The Building and Fire Research Laboratory (BFRL) of the National Institute of Standards and Technology (NIST) works to advance innovation and competitiveness of the U.S. building and fire safety industries. This presentation will introduce some of the work at BFRL to improve the design, construction and operation of the built environment and to advance the semantic infrastructure for integrated project design and delivery. With this context established, the presentation will examine research challenges and next steps for developing reference information models, industry data dictionaries and rule libraries for multidisciplinary collaboration to

480

Hierarchy-oriented modeling of enterprise architecture using reference-model of open distributed processing  

Science Journals Connector (OSTI)

Modeling Enterprise Architecture (EA) requires the representation of multiple views for an enterprise. This could be done by a team of stakeholders that essentially have different backgrounds. One way to do this is to structure the model into hierarchical ... Keywords: Alloy, Enterprise architecture, Enterprise modeling, RM-ODP, SEAM, Systems theory

Lam-Son L; Alain Wegmann

2013-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "reference building models" 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

Data Warehouse Model to Support Optimized Operation and Energy Savings in Buildings  

E-Print Network (OSTI)

University College Cork (Ireland) Department of Civil and Environmental Engineering Data Warehouse Model to support Optimized Operation and Energy Savings in Buildings Paul Stack, Brian Cahill, Farhan Manzoor, Prof. Karsten Menzel 20... October 2011 page 1ICEBO 2011 Session 10 - Brian Cahill University College Cork (Ireland) Department of Civil and Environmental Engineering ICT for Optimised Building Operation (ITOBO) 20 October 2011 ICEBO 2011 Session 10 - Brian Cahill page 2...

Stack, P.; Cahill, B.; Manzoor, F.; Menzel, K.

2011-01-01T23:59:59.000Z

482

Experimental Wave Tank Test for Reference Model 3 Floating-Point Absorber Wave Energy Converter Project  

SciTech Connect

The U.S. Department of Energy established a reference model project to benchmark a set of marine and hydrokinetic technologies including current (tidal, open-ocean, and river) turbines and wave energy converters. The objectives of the project were to first evaluate the status of these technologies and their readiness for commercial applications. Second, to evaluate the potential cost of energy and identify cost-reduction pathways and areas where additional research could be best applied to accelerate technology development to market readiness.

Yu, Y. H.; Lawson, M.; Li, Y.; Previsic, M.; Epler, J.; Lou, J.

2015-01-01T23:59:59.000Z

483

Reference Manual for the System Advisor Model's Wind Power Performance Model  

SciTech Connect

This manual describes the National Renewable Energy Laboratory's System Advisor Model (SAM) wind power performance model. The model calculates the hourly electrical output of a single wind turbine or of a wind farm. The wind power performance model requires information about the wind resource, wind turbine specifications, wind farm layout (if applicable), and costs. In SAM, the performance model can be coupled to one of the financial models to calculate economic metrics for residential, commercial, or utility-scale wind projects. This manual describes the algorithms used by the wind power performance model, which is available in the SAM user interface and as part of the SAM Simulation Core (SSC) library, and is intended to supplement the user documentation that comes with the software.

Freeman, J.; Jorgenson, J.; Gilman, P.; Ferguson, T.

2014-08-01T23:59:59.000Z

484

RESRAD-BUILD: A model to estimate dose from contaminated structures. Innovative technology summary report  

SciTech Connect

The RESRAD-BUILD model is an exposure pathway and analysis code used to determine whether radiologically contaminated buildings and structures can be free released for a specific land use (e.g., residential or industrial). The model provides estimates of dose to a hypothetical receptor from the structure. The RESRAD-BUILD technology can calculate dose from variety of site-specific hypothetical scenarios, decay-time intervals, and radionuclides. When using the RESRAD-BUILD code, specific project assumptions must be developed with the appropriate regulatory agencies, especially the cleanup criteria and the exposure scenario to be used. The C Reactor demonstration of RESRAD-BUILD modeled hypothetical future use of below grade portions of the reactor building complex. A residential exposure scenario with a cleanup criteria of 15 mrem/yr above background (Environmental Protection Agency [EPA] draft guidance) was used to coordinate decommissioning with adjacent ongoing remedial actions conducted in accordance with an existing Comprehensive Environmental Response, Compensation, and Liability Act of 1980 (CERCLA) Record of Decision. This paper gives a description of the technology and discusses its performance, applications, cost, regulatory and policy issues, and lessons learned.

NONE

1998-12-01T23:59:59.000Z

485

INTERROOM RADIATIVE COUPLINGS THROUGH WINDOWS AND LARGE OPENINGS IN BUILDINGS : PROPOSAL OF A SIMPLIFIED MODEL  

E-Print Network (OSTI)

INTERROOM RADIATIVE COUPLINGS THROUGH WINDOWS AND LARGE OPENINGS IN BUILDINGS : PROPOSAL OF A SIMPLIFIED MODEL H. Boyer1 , M. Bojic2 , H. Ennamiri1 , D. Calogine1 , S. Guichard1 1 University of La Corresponding author : harry.boyer@univ-reunion.fr ABSTRACT A simplified model of indoor short wave radiation

Paris-Sud XI, Université de

486

Building Energy Software Tools Directory: Heat Pump Design Model  

NLE Websites -- All DOE Office Websites (Extended Search)

Heat Pump Design Model Heat Pump Design Model Heat Pump Design Model logo. Research tool for use in the steady-state simulation and design analysis of air-to-air heat pumps and air conditioners. The program can be used with most of the newer HFC refrigerants as well as with HCFCs and CFCs. The standard vapor-compression cycle is modeled with empirical representations for compressor performance and first-principle region-by-region modeling of the heat exchangers. An online Web version is available that can be used with default configurations or with user-specified component and operating parameters for analyzing the performance of single-speed, air-to-air equipment. User configurations can be saved for later use. Parametric analyses can be made and performance trends plotted online.

487

Land-Use History and Contemporary Management Inform an Ecological Reference Model for Longleaf Pine Woodland Understory Plant Communities.  

SciTech Connect

Ecological restoration is frequently guided by reference conditions describing a successfully restored ecosystem; however, the causes and magnitude of ecosystem degradation vary, making simple knowledge of reference conditions insufficient for prioritizing and guiding restoration. Ecological reference models provide further guidance by quantifying reference conditions, as well as conditions at degraded states that deviate from reference conditions. Many reference models remain qualitative, however, limiting their utility. We quantified and evaluated a reference model for southeastern U.S. longleaf pine woodland understory plant communities. We used regression trees to classify 232 longleaf pine woodland sites at three locations along the Atlantic coastal plain based on relationships between understory plant community composition, soils lol(which broadly structure these communities), and factors associated with understory degradation, including fire frequency, agricultural history, and tree basal area. To understand the spatial generality of this model, we classified all sites together. and for each of three study locations separately. Both the regional and location-specific models produced quantifiable degradation gradientsi.e., progressive deviation from conditions at 38 reference sites, based on understory species composition, diversity and total cover, litter depth, and other attributes. Regionally, fire suppression was the most important degrading factor, followed by agricultural history, but at individual locations, agricultural history or tree basal area was most important. At one location, the influence of a degrading factor depended on soil attributes. We suggest that our regional model can help prioritize longleaf pine woodland restoration across our study region; however, due to substantial landscape-to-landscape variation, local management decisions should take into account additional factors (e.g., soil attributes). Our study demonstrates the utility of quantifying degraded states and provides a series of hypotheses for future experimental restoration work. More broadly, our work provides a framework for developing and evaluating reference models that incorporate multiple, interactive anthropogenic drivers of ecosystem degradation.

Brudvig, Lars A. [Department of Plant Biology, Michigan State University; Orrock, John L. [Department of Zoology, University of Wisconsin; Damschen, Ellen I. [Department of Zoology, University of Wisconsin; et al, et al

2014-01-23T23:59:59.000Z

488

Integrated canopy, building energy and radiosity model for 3D urban design  

E-Print Network (OSTI)

We present an integrated, three dimensional, model of urban canopy, building energy and radiosity, for early stage urban designs and test it on four urban morphologies. All sub-models share a common descriptions of the urban morphology, similar to 3D urban design master plans and have simple parameters. The canopy model is a multilayer model, with a new discrete layer approach that does not rely on simplified geometry such as canyon or regular arrays. The building energy model is a simplified RC equivalent model, with no hypotheses on internal zoning or wall composition. We use the CitySim software for the radiosity model. We study the effects of convexity, the number of buildings and building height, at constant density and thermal characteristics. Our results suggest that careful three dimensional morphology design can reduce heat demand by a factor of 2, especially by improving insolation of lower levels. The most energy efficient morphology in our simulations has both the highest surface/volume ratio and ...

Burdet, Etienne; Morand, Denis; Diab, Youssef

2014-01-01T23:59:59.000Z

489

Development of a Model Specification for Performance MonitoringSystems for Commercial Buildings  

SciTech Connect

The paper describes the development of a model specification for performance monitoring systems for commercial buildings. The specification focuses on four key aspects of performance monitoring: (1) performance metrics; (2) measurement system requirements; (3) data acquisition and archiving; and (4) data visualization and reporting. The aim is to assist building owners in specifying the extensions to their control systems that are required to provide building operators with the information needed to operate their buildings more efficiently and to provide automated diagnostic tools with the information required to detect and diagnose faults and problems that degrade energy performance. The paper reviews the potential benefits of performance monitoring, describes the specification guide and discusses briefly the ways in which it could be implemented. A prototype advanced visualization tool is also described, along with its application to performance monitoring. The paper concludes with a description of the ways in which the specification and the visualization tool are being disseminated and deployed.

Haves, Philip; Hitchcock, Robert J.; Gillespie, Kenneth L.; Brook, Martha; Shockman, Christine; Deringer, Joseph J.; Kinney,Kristopher L.

2006-08-01T23:59:59.000Z

490

Rotor reference frame models of a multiloop 2-phase motor drive in brushless DC and microstepping modes  

SciTech Connect

This paper describes non-linear models of a 2-phase permanent magnet synchronous motor drive in brushless DC and microstepping modes. The models account for everything from the main power bus up to and including the mechanical load and velocity feedback loop. In particular, the models include the power electronics for each phase complete with their internal feedback loops. Classical state space averaged power electronics models are transformed to the rotor reference frame along with the usual electromechanical variables. Since SPICE linearizes the rotor reference frame model about shaft velocity, instead of shaft angle, frequency domain methods apply. The frequency domain analysis detects unstable interactions between torque angle and deliberate feedback within the drives. Time domain simulations using stator reference frame models confirm the results. All models are SPICE-compatible but were developed on Cadence`s Analog Workbench.

Chen, J.E. [Lockheed Missiles and Space Co. Inc., Sunnyvale, CA (United States)

1995-12-31T23:59:59.000Z

491

Junior Solar Sprint - An Introduction to Building a Model Solar...  

NLE Websites -- All DOE Office Websites (Extended Search)

learn how to make your own model solar car that will run entirely from the power of the sun. Design You will experience first-hand the process of design. When you design your car,...

492

Legal Issues and Risks Associated with Building Information Modeling Technology  

E-Print Network (OSTI)

Dimensional Interactive Application CIFE Center for Integrated Facility Engineering, Stanford University EJCDC Engineers Joint Contract Documents Committee GSA General Services Administration HVAC Heating, Ventilating and Air Conditioning IAI... of the project. Figure 2-2. Site Planning and Site Utilization (Mortenson 3D Image) ?4D? Scheduling and Sequencing. When the 3D model is combined with the CPM schedule, it creates a ?4D? model, using time as the fourth dimension. This is done to visualize...

Foster, Leon Lewis

2008-07-22T23:59:59.000Z

493

JMP for Model Selection In order to build a model using JMP you will use the Fit Model platform. The response  

E-Print Network (OSTI)

JMP for Model Selection In order to build a model using JMP you will use the Fit Model platform Model Effects. The Personality of the model should be changed from Standardized Least Squares to Stepwise. Then click on Run Model. The Stopping Rule: should be changed to P-value Threshold. The Prob

Carriquiry, Alicia

494

Tips: References | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

References References Tips: References April 11, 2012 - 9:03am Addthis Tips: References The following resources were used to develop the Energy Savers Guide: Tips on Saving Money and Energy at Home: Alternative Fuels and Advanced Vehicles Data Center American Council for an Energy-Efficient Economy Cool Roof Rating Council Database of State Incentives for Renewables & Efficiency (DSIRE) DOE Building America DOE Building Technologies Program DOE Building Technologies Program, 2010 Buildings Energy Databook DOE Energy Information Administration Residential Energy Consumption Survey DOE/EPA Fuel Economy Guide DOE Federal Energy Management Program DOE Office of Electricity Delivery and Energy Reliability ENERGY STAR® Green Roofs for Healthy Cities National Renewable Energy Laboratory

495

An expandable software model for collaborative decision making during the whole building life cycle  

SciTech Connect

Decisions throughout the life cycle of a building, from design through construction and commissioning to operation and demolition, require the involvement of multiple interested parties (e.g., architects, engineers, owners, occupants and facility managers). The performance of alternative designs and courses of action must be assessed with respect to multiple performance criteria, such as comfort, aesthetics, energy, cost and environmental impact. Several stand-alone computer tools are currently available that address specific performance issues during various stages of a building's life cycle. Some of these tools support collaboration by providing means for synchronous and asynchronous communications, performance simulations, and monitoring of a variety of performance parameters involved in decisions about a building during building operation. However, these tools are not linked in any way, so significant work is required to maintain and distribute information to all parties. In this paper we describe a software model that provides the data management and process control required for collaborative decision making throughout a building's life cycle. The requirements for the model are delineated addressing data and process needs for decision making at different stages of a building's life cycle. The software model meets these requirements and allows addition of any number of processes and support databases over time. What makes the model infinitely expandable is that it is a very generic conceptualization (or abstraction) of processes as relations among data. The software model supports multiple concurrent users, and facilitates discussion and debate leading to decision making. The software allows users to define rules and functions for automating tasks and alerting all participants to issues that need attention. It supports management of simulated as well as real data and continuously generates information useful for improving performance prediction and understanding of the effects of proposed technologies and strategies.

Papamichael, K.; Pal, V.; Bourassa, N.; Loffeld, J.; Capeluto, G.

2000-04-01T23:59:59.000Z

496

AHAM: A Reference Model to Support Adaptive Hypermedia Hongjing Wu, Geert-Jan Houben, Paul De Bra  

E-Print Network (OSTI)

AHAM: A Reference Model to Support Adaptive Hypermedia Authoring Hongjing Wu, Geert-Jan Houben for adaptive hypermedia applications, called AHAM, which encompasses most adaptive features supported of applications. Key aspects in AHAM are: · The adaptation is based on a domain model, a user model and a teaching

De Bra, Paul

497

Effects of Environmental Conditions on the Sorption of VOCs on Building Materials-Part II: Model Evaluation (RP-1097)  

E-Print Network (OSTI)

1 Effects of Environmental Conditions on the Sorption of VOCs on Building Materials-Part II: Model, Ph.D. Member ASHRAE 1 ABSTRACT: Sorption data obtained by using small environmental chambers under to evaluate the linear Langmuir model and the diffusion model for VOC sorption by different building materials

Chen, Qingyan "Yan"

498

EIA model documentation: World oil refining logistics demand model,``WORLD`` reference manual. Version 1.1  

SciTech Connect

This manual is intended primarily for use as a reference by analysts applying the WORLD model to regional studies. It also provides overview information on WORLD features of potential interest to managers and analysts. Broadly, the manual covers WORLD model features in progressively increasing detail. Section 2 provides an overview of the WORLD model, how it has evolved, what its design goals are, what it produces, and where it can be taken with further enhancements. Section 3 reviews model management covering data sources, managing over-optimization, calibration and seasonality, check-points for case construction and common errors. Section 4 describes in detail the WORLD system, including: data and program systems in overview; details of mainframe and PC program control and files;model generation, size management, debugging and error analysis; use with different optimizers; and reporting and results analysis. Section 5 provides a detailed description of every WORLD model data table, covering model controls, case and technology data. Section 6 goes into the details of WORLD matrix structure. It provides an overview, describes how regional definitions are controlled and defines the naming conventions for-all model rows, columns, right-hand sides, and bounds. It also includes a discussion of the formulation of product blending and specifications in WORLD. Several Appendices supplement the main sections.

Not Available

1994-04-11T23:59:59.000Z

499

Reference dosimetry during diagnostic CT examination using XR-QA radiochromic film model  

SciTech Connect

Purpose: The authors applied 2D reference dosimetry protocol for dose measurements using XR-QA radiochromic film model during diagnostic computed tomography (CT) examinations carried out on patients and humanoid Rando phantom. Methods: Response of XR-QA model GAFCHROMIC film reference dosimetry system was calibrated in terms of Air-Kerma in air. Four most commonly used CT protocols were selected on their CT scanner (GE Lightspeed VCT 64), covering three anatomical sites (head, chest, and abdomen). For each protocol, 25 patients ongoing planned diagnostic CT examination were recruited. Surface dose was measured using four or eight film strips taped on patients' skin and on Rando phantom. Film pieces were scanned prior to and after irradiation using Epson Expression 10000XL document scanner. Optical reflectance of the unexposed film piece was subtracted from exposed one to obtain final net reflectance change, which is subsequently converted to dose using previously established calibration curves. Results: The authors' measurements show that body skin dose variation has a sinusoidal pattern along the scanning axis due to the helical movement of the x-ray tube, and a comb pattern for head dose measurements due to its axial movement. Results show that the mean skin dose at anterior position for patients is (51 {+-} 6) mGy, (29 {+-} 11) mGy, (45 {+-} 13) mGy and (38 {+-} 20) mGy for head, abdomen, angio Abdomen, and chest and abdomen protocol (UP position), respectively. The obtained experimental dose length products (DLP) show higher values than CT based DLP taken from the scanner console for body protocols, but lower values for the head protocol. Internal dose measurements inside the phantom's head indicate nonuniformity of dose distribution within scanned volume. Conclusions: In this work, the authors applied an Air-Kerma in air based radiochromic film reference dosimetry protocol for in vivo skin dose measurements. In this work, they employed green channel extracted from the scanned RGB image for dose measurements in the range from 0 to 200 mGy. Measured skin doses and corresponding DLPs were higher than DLPs provided by the CT scanner manufacturer as they were measured on patients' skin.

Boivin, Jonathan; Tomic, Nada; Fadlallah, Bassam; DeBlois, Francois; Devic, Slobodan [Institut de Genie Biomedical, Universite de Montreal, Montreal, Quebec H3C 3J7 (Canada); Medical Physics Unit, McGill University, Montral, Quebec H3G 1A4, Canada and Department of Radiation Oncology, SMBD Jewish General Hospital, McGill University, 3755 chemin de la Cote-Sainte-Catherine, Montreal, Quebec H3T 1E2 (Canada); Department of Biomedical Engineering, SMBD Jewish General Hospital, McGill University, Montreal, Quebec H3T 1E2 (Canada); Medical Physics Unit, McGill University, Montreal, Quebec H3G 1A4, Canada and Department of Radiation Oncology, SMBD Jewish General Hospital, McGill University, Montreal, Quebec H3T 1E2 (Canada)

2011-09-15T23:59:59.000Z

500

Building the Standard Model on a D3-brane  

E-Print Network (OSTI)

We motivate and apply a bottom-up approach to string phenomenology, which aims to construct the Standard Model as a decoupled world-volume theory on a D3-brane. As a concrete proposal for such a construction, we consider a single probe D3-brane on a partial resolution of a del Pezzo 8 singularity. The resulting world-volume theory reproduces the field content and interactions of the MSSM, however with a somewhat extended Higgs sector. An attractive feature of our approach is that the gauge and Yukawa couplings are dual to non-dynamical closed string modes, and are therefore tunable parameters.

Herman Verlinde; Martijn Wijnholt

2005-08-13T23:59:59.000Z