IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v16y2012i7p4606-4615.html
   My bibliography  Save this article

An optimization model for regional renewable energy development

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032112002729
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2012.04.014?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Iniyan, S & Sumathy, K, 2000. "An optimal renewable energy model for various end-uses," Energy, Elsevier, vol. 25(6), pages 563-575.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    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. Ramachandra, T.V., 2009. "RIEP: Regional integrated energy plan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(2), pages 285-317, February.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. Ashok, S., 2007. "Optimised model for community-based hybrid energy system," Renewable Energy, Elsevier, vol. 32(7), pages 1155-1164.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kayakutlu, Gulgun & Daim, Tugrul & Kunt, Meltem & Altay, Ayca & Suharto, Yulianto, 2017. "Scenarios for regional waste management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1323-1335.
    2. Pohekar, S. D. & Ramachandran, M., 2004. "Application of multi-criteria decision making to sustainable energy planning--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(4), pages 365-381, August.
    3. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Decision analysis in energy and environmental modeling: An update," Energy, Elsevier, vol. 31(14), pages 2604-2622.
    4. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.
    5. Strantzali, Eleni & Aravossis, Konstantinos, 2016. "Decision making in renewable energy investments: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 885-898.
    6. Dong, C. & Huang, G.H. & Cai, Y.P. & Liu, Y., 2012. "An inexact optimization modeling approach for supporting energy systems planning and air pollution mitigation in Beijing city," Energy, Elsevier, vol. 37(1), pages 673-688.
    7. Siddaiah, Rajanna & Saini, R.P., 2016. "A review on planning, configurations, modeling and optimization techniques of hybrid renewable energy systems for off grid applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 376-396.
    8. Calvert, K. & Pearce, J.M. & Mabee, W.E., 2013. "Toward renewable energy geo-information infrastructures: Applications of GIScience and remote sensing that build institutional capacity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 416-429.
    9. Zhou, Xiong & Huang, Guohe & Zhu, Hua & Chen, Jiapei & Xu, Jinliang, 2015. "Chance-constrained two-stage fractional optimization for planning regional energy systems in British Columbia, Canada," Applied Energy, Elsevier, vol. 154(C), pages 663-677.
    10. Mallikarjun, Sreekanth & Lewis, Herbert F., 2014. "Energy technology allocation for distributed energy resources: A strategic technology-policy framework," Energy, Elsevier, vol. 72(C), pages 783-799.
    11. Laha, Priyanka & Chakraborty, Basab, 2017. "Energy model – A tool for preventing energy dysfunction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 95-114.
    12. San Cristóbal, J.R., 2011. "Multi-criteria decision-making in the selection of a renewable energy project in spain: The Vikor method," Renewable Energy, Elsevier, vol. 36(2), pages 498-502.
    13. Koroneos, C. & Xydis, G. & Polyzakis, A., 2010. "The optimal use of renewable energy sources--The case of the new international "Makedonia" airport of Thessaloniki, Greece," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(6), pages 1622-1628, August.
    14. Kanase-Patil, A.B. & Saini, R.P. & Sharma, M.P., 2010. "Integrated renewable energy systems for off grid rural electrification of remote area," Renewable Energy, Elsevier, vol. 35(6), pages 1342-1349.
    15. Wang, Q. & Poh, K.L., 2014. "A survey of integrated decision analysis in energy and environmental modeling," Energy, Elsevier, vol. 77(C), pages 691-702.
    16. Cai, Y.P. & Huang, G.H. & Yang, Z.F. & Lin, Q.G. & Tan, Q., 2009. "Community-scale renewable energy systems planning under uncertainty--An interval chance-constrained programming approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(4), pages 721-735, May.
    17. Celiktas, Melih Soner & Kocar, Gunnur, 2010. "From potential forecast to foresight of Turkey's renewable energy with Delphi approach," Energy, Elsevier, vol. 35(5), pages 1973-1980.
    18. Arnette, Andrew N., 2017. "Renewable energy and carbon capture and sequestration for a reduced carbon energy plan: An optimization model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 254-265.
    19. Selin Kocaman, Ayse & Abad, Carlos & Troy, Tara J. & Tim Huh, Woonghee & Modi, Vijay, 2016. "A stochastic model for a macroscale hybrid renewable energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 688-703.
    20. Memon, Mudasir Ahmed & Mekhilef, Saad & Mubin, Marizan & Aamir, Muhammad, 2018. "Selective harmonic elimination in inverters using bio-inspired intelligent algorithms for renewable energy conversion applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2235-2253.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:16:y:2012:i:7:p:4606-4615. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.