Applications of Optimal Building Energy System Selection and Operation

Applications of Optimal Building Energy System Selection and Operation

TitleApplications of Optimal Building Energy System Selection and Operation
Publication TypeConference Paper
Year of Publication2011
AuthorsChris Marnay, Michael Stadler, Afzal S Siddiqui, Nicholas DeForest, Jonathan Donadee, Prajesh Bhattacharya, Judy Lai
Conference NameMicrogen’II: Second International Conference of Microgeneration and Related Technologies, University of Strathclyde, Glasgow, Scotland, 4-6 Apr 2011
Date Published04/2011
PublisherLBNL
Conference LocationGlasgow, Scotland 4-6 Apr 2011
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 (μ⋅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 μ⋅grid design and operation can be effectively achieved using SaaS.

LBNL Report Number

LBNL-4764E