Type
Text
Type
Dissertation
Advisor
Ferguson, David | Lewis, Herbert F. | Salins, Peter | Sexton, Thomas R. | Silkman, Richard.
Date
2014-12-01
Keywords
Data Envelopment Analysis, Distributed Energy Resources, Distributed Generation, Energy Policy, Multi-Objective Optimization, Optimal Allocation | Energy
Department
Department of Technology, Policy, and Innovation.
Language
en_US
Source
This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree.
Identifier
http://hdl.handle.net/11401/76857
Publisher
The Graduate School, Stony Brook University: Stony Brook, NY.
Format
application/pdf
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. | 123 pages
Recommended Citation
Mallikarjun, Sreekanth, "Energy Technology Allocation for Distributed Energy Resources: A Technology-Policy Framework" (2014). Stony Brook Theses and Dissertations Collection, 2006-2020 (closed to submissions). 2733.
https://commons.library.stonybrook.edu/stony-brook-theses-and-dissertations-collection/2733