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Accession Number
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DE2012-1039924
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Title
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Applications of Optimal Building Energy System Selection and Operation.
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Publication Date
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Apr 2011
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Media Count
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12p
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Personal Author
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A. Siddiqui C. Marnay J. Donadee J. Lai M. Stadler N. DeForest P. Bhattacharya
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Abstract
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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.
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Keywords
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Buildings
Computer applications
Design
Energy storage
Energy systems
Linear programming
Microgrids
Optimization
Schedules
Viability
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Source Agency
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Technical Information Center Oak Ridge Tennessee
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NTIS Subject Category
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97G - Policies, Regulations & Studies
89B - Architectural Design & Environmental Engineering
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Corporate Author
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Lawrence Berkeley National Lab., CA. Environmental Energy Technologies Div.
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Document Type
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Technical report
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Title Note
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N/A
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NTIS Issue Number
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1226
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Contract Number
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DE-AC02-05CH11231
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