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Energy Technology Allocation for Distributed Energy Resources: A Technology-Policy Framework

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dc.contributor.advisor Lewis, Herbert F. en_US
dc.contributor.advisor Sexton, Thomas R. en_US
dc.contributor.author Mallikarjun, Sreekanth en_US
dc.contributor.other Department of Technology, Policy, and Innovation. en_US
dc.date.accessioned 2017-09-20T16:51:20Z
dc.date.available 2017-09-20T16:51:20Z
dc.date.issued 2014-12-01 en_US
dc.identifier.uri http://hdl.handle.net/11401/76857 en_US
dc.description 123 pg. en_US
dc.description.abstract Distributed energy resources (DER) are emerging rapidly. New engineering technologies, materials, and designs improve the performance and extend the range of locations for DER. In contrast, constructing new or modernizing existing high voltage transmission lines for centralized generation are expensive and challenging. In addition, customer demand for reliability has increased and concerns about climate change have created a pull for swift renewable energy penetration. In this context, DER policy makers, developers, and users are interested in determining which energy technologies to use to accommodate different end-use energy demands. We present a two-stage multi-objective strategic technology-policy framework for determining the optimal energy technology allocation for DER. The framework simultaneously considers economic, technical, and environmental objectives. The first stage utilizes a Data Envelopment Analysis model for each end-use to evaluate the performance of each energy technology based on the three objectives. The second stage incorporates factor efficiencies determined in the first stage, capacity limitations, dispatchability, and renewable penetration for each technology, and demand for each end-use into a bottleneck multi-criteria decision model which provides the Pareto-optimal energy resource allocation. We conduct several case studies to understand the roles of various distributed energy technologies in different scenarios. We construct some policy implications based on the model results of set of case studies. en_US
dc.description.sponsorship This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree. en_US
dc.format Monograph en_US
dc.format.medium Electronic Resource en_US
dc.language.iso en_US en_US
dc.publisher The Graduate School, Stony Brook University: Stony Brook, NY. en_US
dc.subject.lcsh Energy en_US
dc.subject.other Data Envelopment Analysis, Distributed Energy Resources, Distributed Generation, Energy Policy, Multi-Objective Optimization, Optimal Allocation en_US
dc.title Energy Technology Allocation for Distributed Energy Resources: A Technology-Policy Framework en_US
dc.type Dissertation en_US
dc.mimetype Application/PDF en_US
dc.contributor.committeemember Ferguson, David en_US
dc.contributor.committeemember Salins, Peter en_US
dc.contributor.committeemember Silkman, Richard. en_US


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