DocumentCode
1644091
Title
Web-based economic and environmental optimization of microgrids
Author
Stadler, M. ; Marnay, C. ; DeForest, N. ; Eto, J. ; Cardoso, G. ; Klapp, D. ; Lai, J.
Author_Institution
Ernest Orlando Lawrence Berkeley Nat. Lab., Berkeley, CA, USA
fYear
2012
Firstpage
1
Lastpage
2
Abstract
Even as distributed generation and distributed energy resources (DER) become a more appealing option to meeting building electricity, heat, and cooling demands, the process of selecting the appropriate equipment mix remains as a complex and time-consuming obstacle. This is the motivation behind Lawrence Berkeley National Laboratory´s (LBNL) development of WebOpt, a flexible web-based software as service (SaaS) approach for optimizing the selection and operation of DER equipment, and running the Distributed Energy Resources Customer Adoption Model (DER-CAM), the optimization platform that supports it. DER-CAM solves energy systems for microgrids [1], [2] (e.g. combined heat and power (CHP) or electric storage) holistically, taking into account service levels for multiple building end-uses, including heating, cooling and electricity. Given an individual microgrid´s hourly energy requirements, available technologies and the economic environment as defined by tariff structure, DER-CAM finds the economically or environmentally optimal combination of equipment to install and an optimal schedule to operate it [3], [4].
Keywords
Web services; distributed power generation; environmental factors; power distribution economics; power distribution planning; power engineering computing; power generation economics; power generation planning; DER equipment operation selection; Web based economic optimization; Web based environmental optimization; Web based software as service; WebOpt; distributed energy resources customer adoption model; distributed generation; microgrids; Buildings; Cogeneration; Density estimation robust algorithm; Electricity; Optimal scheduling; Planning; Resistance heating;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Smart Grid Technologies (ISGT), 2012 IEEE PES
Conference_Location
Washington, DC
Print_ISBN
978-1-4577-2158-8
Type
conf
DOI
10.1109/ISGT.2012.6175750
Filename
6175750
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