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An optimization model for regional renewable energy development

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  • Arnette, Andrew
  • Zobel, Christopher W.

Abstract

This research effort details the modeling component of a comprehensive decision support system for energy planning that allows for combining existing electricity generating capabilities with increased use of renewable energy sources. It focuses on energy planning at the regional level, and it is illustrated by applying it to the greater southern Appalachian mountains of the eastern United States: a region that was chosen for analysis not only due to its heavy dependence on coal for electricity, but also because of its potential for increased use of wind and solar power. The paper specifically discusses the development of a multi-objective linear programming (MOLP) model that can be used to determine the optimal mix of renewable energy sources and existing fossil fuel facilities on a regional basis. This model allows a decision maker to balance annual generation costs against the corresponding greenhouse gas emissions, and it provides significant support for implementing a variety of different policy analyses.

Suggested Citation

  • Arnette, Andrew & Zobel, Christopher W., 2012. "An optimization model for regional renewable energy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4606-4615.
    • Handle: RePEc:eee:rensus:v:16:y:2012:i:7:p:4606-4615
    DOI: 10.1016/j.rser.2012.04.014
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    1. Moura, Pedro S. & de Almeida, Aníbal T., 2010. "Multi-objective optimization of a mixed renewable system with demand-side management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(5), pages 1461-1468, June.
    2. Suganthi, L. & Williams, A., 2000. "Renewable energy in India -- a modelling study for 2020-2021," Energy Policy, Elsevier, vol. 28(15), pages 1095-1109, December.
    3. Dominguez Bravo, Javier & Garcia Casals, Xavier & Pinedo Pascua, Irene, 2007. "GIS approach to the definition of capacity and generation ceilings of renewable energy technologies," Energy Policy, Elsevier, vol. 35(10), pages 4879-4892, October.
    4. Xiaohua, Wang & Zhenmin, Feng, 2002. "Sustainable development of rural energy and its appraising system in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 6(4), pages 395-404, August.
    5. Ramanathan, R. & Ganesh, L. S., 1995. "Energy resource allocation incorporating qualitative and quantitative criteria: An integrated model using goal programming and AHP," Socio-Economic Planning Sciences, Elsevier, vol. 29(3), pages 197-218, September.
    6. Deshmukh, S.S. & Deshmukh, M.K., 2009. "A new approach to micro-level energy planning--A case of northern parts of Rajasthan, India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(3), pages 634-642, April.
    7. Arnette, Andrew N. & Zobel, Christopher W., 2011. "Spatial analysis of renewable energy potential in the greater southern Appalachian mountains," Renewable Energy, Elsevier, vol. 36(11), pages 2785-2798.
    8. Saidur, R. & Abdelaziz, E.A. & Demirbas, A. & Hossain, M.S. & Mekhilef, S., 2011. "A review on biomass as a fuel for boilers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(5), pages 2262-2289, June.
    9. Nakata, Toshihiko & Kubo, Kazuo & Lamont, Alan, 2005. "Design for renewable energy systems with application to rural areas in Japan," Energy Policy, Elsevier, vol. 33(2), pages 209-219, January.
    10. Iniyan, S & Sumathy, K, 2000. "An optimal renewable energy model for various end-uses," Energy, Elsevier, vol. 25(6), pages 563-575.
    11. Iniyan, S & Suganthi, L & Jagadeesan, T.R & Samuel, Anand A, 2000. "Reliability based socio economic optimal renewable energy model for India," Renewable Energy, Elsevier, vol. 19(1), pages 291-297.
    12. Cormio, C. & Dicorato, M. & Minoia, A. & Trovato, M., 2003. "A regional energy planning methodology including renewable energy sources and environmental constraints," Renewable and Sustainable Energy Reviews, Elsevier, vol. 7(2), pages 99-130, April.
    13. Ramachandra, T.V., 2009. "RIEP: Regional integrated energy plan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(2), pages 285-317, February.
    14. Hamalainen, Raimo P. & Karjalainen, Risto, 1992. "Decision support for risk analysis in energy policy," European Journal of Operational Research, Elsevier, vol. 56(2), pages 172-183, January.
    15. Baños, R. & Manzano-Agugliaro, F. & Montoya, F.G. & Gil, C. & Alcayde, A. & Gómez, J., 2011. "Optimization methods applied to renewable and sustainable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1753-1766, May.
    16. Cosmi, C. & Macchiato, M. & Mangiamele, L. & Marmo, G. & Pietrapertosa, F. & Salvia, M., 2003. "Environmental and economic effects of renewable energy sources use on a local case study," Energy Policy, Elsevier, vol. 31(5), pages 443-457, April.
    17. Terrados, J. & Almonacid, G. & Pérez-Higueras, P., 2009. "Proposal for a combined methodology for renewable energy planning. Application to a Spanish region," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 2022-2030, October.
    18. Ashok, S., 2007. "Optimised model for community-based hybrid energy system," Renewable Energy, Elsevier, vol. 32(7), pages 1155-1164.
    19. Schulz, Volkhard & Stehfest, Harald, 1984. "Regional energy supply optimization with multiple objectives," European Journal of Operational Research, Elsevier, vol. 17(3), pages 302-312, September.
    20. Afgan, Naim H. & Carvalho, Maria G., 2002. "Multi-criteria assessment of new and renewable energy power plants," Energy, Elsevier, vol. 27(8), pages 739-755.
    21. Arnette, Andrew N. & Zobel, Christopher W., 2011. "The role of public policy in optimizing renewable energy development in the greater southern Appalachian mountains," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3690-3702.
    22. Borges, Ana Rosa & Antunes, Carlos Henggeler, 2003. "A fuzzy multiple objective decision support model for energy-economy planning," European Journal of Operational Research, Elsevier, vol. 145(2), pages 304-316, March.
    23. Meier, Peter & Mubayi, Vinod, 1983. "Modelling energy-economic interactions in developing countries: A linear programming approach," European Journal of Operational Research, Elsevier, vol. 13(1), pages 41-59, May.
    24. Bazmi, Aqeel Ahmed & Zahedi, Gholamreza, 2011. "Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3480-3500.
    25. Roth, Ian F. & Ambs, Lawrence L., 2004. "Incorporating externalities into a full cost approach to electric power generation life-cycle costing," Energy, Elsevier, vol. 29(12), pages 2125-2144.
    26. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    27. Fadaee, M. & Radzi, M.A.M., 2012. "Multi-objective optimization of a stand-alone hybrid renewable energy system by using evolutionary algorithms: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3364-3369.
    28. Sims, Ralph E. H. & Rogner, Hans-Holger & Gregory, Ken, 2003. "Carbon emission and mitigation cost comparisons between fossil fuel, nuclear and renewable energy resources for electricity generation," Energy Policy, Elsevier, vol. 31(13), pages 1315-1326, October.
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