Applications of Optimal Building Energy System Selection and Operation
Abstract
Berkeley Lab has been developing the Distributed Energy Resources Customer Adoption Model (DER-CAM) for several years. Given load curves for energy services requirements in a building microgrid (u grid), fuel costs and other economic inputs, and a menu of available technologies, DER-CAM finds the optimum equipment fleet and its optimum operating schedule using a mixed integer linear programming approach. This capability is being applied using a software as a service (SaaS) model. Optimisation problems are set up on a Berkeley Lab server and clients can execute their jobs as needed, typically daily. The evolution of this approach is demonstrated by description of three ongoing projects. The first is a public access web site focused on solar photovoltaic generation and battery viability at large commercial and industrial customer sites. The second is a building CO2 emissions reduction operations problem for a University of California, Davis student dining hall for which potential investments are also considered. And the third, is both a battery selection problem and a rolling operating schedule problem for a large County Jail. Together these examples show that optimization of building u grid design and operation can be effectively achieved using SaaS.
- Authors:
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- Environmental Energy Technologies Division
- OSTI Identifier:
- 1039924
- Report Number(s):
- LBNL-4764E
TRN: US201215%%66
- DOE Contract Number:
- DE-AC02-05CH11231
- Resource Type:
- Conference
- Resource Relation:
- Conference: Microgen'II: Second International Conference of Microgeneration and Related Technologies, University of Strathclyde, Glasgow, Scotland, 4-6 Apr 2011
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 25 ENERGY STORAGE; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 29 ENERGY PLANNING, POLICY AND ECONOMY; DESIGN; ECONOMICS; ENERGY SYSTEMS; LINEAR PROGRAMMING; MICROGENERATION; OPTIMIZATION; ROLLING; SCHEDULES; VIABILITY
Citation Formats
Marnay, Chris, Stadler, Michael, Siddiqui, Afzal, DeForest, Nicholas, Donadee, Jon, Bhattacharya, Prajesh, and Lai, Judy. Applications of Optimal Building Energy System Selection and Operation. United States: N. p., 2011.
Web.
Marnay, Chris, Stadler, Michael, Siddiqui, Afzal, DeForest, Nicholas, Donadee, Jon, Bhattacharya, Prajesh, & Lai, Judy. Applications of Optimal Building Energy System Selection and Operation. United States.
Marnay, Chris, Stadler, Michael, Siddiqui, Afzal, DeForest, Nicholas, Donadee, Jon, Bhattacharya, Prajesh, and Lai, Judy. 2011.
"Applications of Optimal Building Energy System Selection and Operation". United States. https://www.osti.gov/servlets/purl/1039924.
@article{osti_1039924,
title = {Applications of Optimal Building Energy System Selection and Operation},
author = {Marnay, Chris and Stadler, Michael and Siddiqui, Afzal and DeForest, Nicholas and Donadee, Jon and Bhattacharya, Prajesh and Lai, Judy},
abstractNote = {Berkeley Lab has been developing the Distributed Energy Resources Customer Adoption Model (DER-CAM) for several years. Given load curves for energy services requirements in a building microgrid (u grid), fuel costs and other economic inputs, and a menu of available technologies, DER-CAM finds the optimum equipment fleet and its optimum operating schedule using a mixed integer linear programming approach. This capability is being applied using a software as a service (SaaS) model. Optimisation problems are set up on a Berkeley Lab server and clients can execute their jobs as needed, typically daily. The evolution of this approach is demonstrated by description of three ongoing projects. The first is a public access web site focused on solar photovoltaic generation and battery viability at large commercial and industrial customer sites. The second is a building CO2 emissions reduction operations problem for a University of California, Davis student dining hall for which potential investments are also considered. And the third, is both a battery selection problem and a rolling operating schedule problem for a large County Jail. Together these examples show that optimization of building u grid design and operation can be effectively achieved using SaaS.},
doi = {},
url = {https://www.osti.gov/biblio/1039924},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Apr 01 00:00:00 EDT 2011},
month = {Fri Apr 01 00:00:00 EDT 2011}
}