Accession Number DE2012-1039924
Title Applications of Optimal Building Energy System Selection and Operation.
Publication Date Apr 2011
Media Count 12p
Personal Author A. Siddiqui C. Marnay J. Donadee J. Lai M. Stadler N. DeForest P. Bhattacharya
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. Optimization 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.
Keywords Buildings
Computer applications
Design
Energy storage
Energy systems
Linear programming
Microgrids
Optimization
Schedules
Viability


 
Source Agency Technical Information Center Oak Ridge Tennessee
NTIS Subject Category 97G - Policies, Regulations & Studies
89B - Architectural Design & Environmental Engineering
Corporate Author Lawrence Berkeley National Lab., CA. Environmental Energy Technologies Div.
Document Type Technical report
Title Note N/A
NTIS Issue Number 1226
Contract Number DE-AC02-05CH11231

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