2026-09-19T22:16:06Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/862742022-01-31T17:12:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Stephen Connors and James L. Kirtley, Jr.
Bruchon, Matthew Bremer
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Engineering Systems Division
Technology and Policy Program
a-cy---
2014-04-25T15:48:17Z
2014-04-25T15:48:17Z
2013
2013
http://hdl.handle.net/1721.1/86274
874578637
Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2013.
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 143-148).
In order to meet EU mandates, the island nation of Cyprus must raise penetration of renewable energy from roughly 5% in 2013 to 16% in 2020. This means Cyprus will need economical ways of balancing intermittency, a special challenge for small island power systems which have less inertia, narrower reserve margins, and high fuel costs for thermal generators. This thesis explores the potential of demand response programs to help integrate renewables in Cyprus from an hourly unit commitment perspective. A stochastic optimization model of the nation's power grid is presented, including thermal generators, wind, solar photovoltaic, and concentrated solar power with thermal storage. Demand response programs are modeled as a variety of shiftable or curtailable loads, with configurable parameters such as: energy capacity, maximum operation time of a load, maximum time a load can be shifted, lead time required to shift a load, and minimum interval between calls to shift a given consumer's load. The model includes loads from the residential, commercial and desalination sectors. The model is run on scenarios with and without a planned transition from fuel oil to natural gas generation, with either a gradual or a fast economic growth between 2013 and 2020. In all scenarios, the model finds that demand response can help Cyprus reduce electricity costs, harvest more useable energy from wind and concentrating solar power, and reduce carbon dioxide emissions.
by Matthew Bremer Bruchon.
S.M. in Technology and Policy
S.M.
148 pages
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Engineering Systems Division.
Technology and Policy Program.
Electrical Engineering and Computer Science.
Operational Impacts of Responsive Electricity Loads: A Modeling Framework Including Policy Implications for Cyprus
Thesis
application/pdf
Publication
unknown
unknown
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<Abstract>In order to meet EU mandates, the island nation of Cyprus must raise penetration of renewable energy from roughly 5% in 2013 to 16% in 2020. This means Cyprus will need economical ways of balancing intermittency, a special challenge for small island power systems which have less inertia, narrower reserve margins, and high fuel costs for thermal generators. This thesis explores the potential of demand response programs to help integrate renewables in Cyprus from an hourly unit commitment perspective. A stochastic optimization model of the nation's power grid is presented, including thermal generators, wind, solar photovoltaic, and concentrated solar power with thermal storage. Demand response programs are modeled as a variety of shiftable or curtailable loads, with configurable parameters such as: energy capacity, maximum operation time of a load, maximum time a load can be shifted, lead time required to shift a load, and minimum interval between calls to shift a given consumer's load. The model includes loads from the residential, commercial and desalination sectors. The model is run on scenarios with and without a planned transition from fuel oil to natural gas generation, with either a gradual or a fast economic growth between 2013 and 2020. In all scenarios, the model finds that demand response can help Cyprus reduce electricity costs, harvest more useable energy from wind and concentrating solar power, and reduce carbon dioxide emissions.</Abstract>
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