Distributed energy resources customer adoption modeling with combined heat and power applications

Siddiqui, Afzal S. ; Firestone, Ryan M. ; Ghosh, Srijay ; Stadler, Michael ; Edwards, Jennifer L. ; Marnay, Chris

Lawrence Berkeley National Laboratory

关键词: Distributed Energy Resources Combined Heat And Power;    Economics;    Implementation;    24 Power Transmission And Distribution;    29 Energy Planning, Policy And Economy;   

DOI  :  10.2172/820656
RP-ID  :  LBNL--52718
RP-ID  :  AC03-76SF00098
RP-ID  :  820656

美国|英语

来源: UNT Digital Library

【 摘 要 】

In this report, an economic model of customer adoption of distributed energy resources (DER) is developed. It covers progress on the DER project for the California Energy Commission (CEC) at Berkeley Lab during the period July 2001 through Dec 2002 in the Consortium for Electric Reliability Technology Solutions (CERTS) Distributed Energy Resources Integration (DERI) project. CERTS has developed a specific paradigm of distributed energy deployment, the CERTS Microgrid (as described in Lasseter et al. 2002). The primary goal of CERTS distributed generation research is to solve the technical problems required to make the CERTS Microgrid a viable technology, and Berkeley Lab's contribution is to direct the technical research proceeding at CERTS partner sites towards the most productive engineering problems. The work reported herein is somewhat more widely applicable, so it will be described within the context of a generic microgrid (mGrid). Current work focuses on the implementation of combined heat and power (CHP) capability. A mGrid as generically defined for this work is a semiautonomous grouping of generating sources and end-use electrical loads and heat sinks that share heat and power. Equipment is clustered and operated for the benefit of its owners. Although it can function independently of the traditional power system, or macrogrid, the mGrid is usually interconnected and exchanges energy and possibly ancillary services with the macrogrid. In contrast to the traditional centralized paradigm, the design, implementation, operation, and expansion of the mGrid is meant to optimize the overall energy system requirements of participating customers rather than the objectives and requirements of the macrogrid.