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An overview of analysis tools for integrated resource planning

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  • Eto, Joseph H.

Abstract

Least-cost utility planning confronts utilities with the difficult task of preparing resource plans that use conventional modeling tools in new ways, as in the calculation of avoided costs from production-cost models, and it introduces a new generation of planning tools specifically designed to deal with the complexities of demand-side resource quantification and demand-supply-side integration. In this paper, we provide a road map that seeks to illustrate the broad range of capabilities available with current planning models and the major conceptual distinctions among them. We start from a sketch of the major steps in least-cost planning and highlight some of the complexities involved. We then discuss various approximations to this ideal that can be achieved with existing modeling tools. Moving from the most sophisticated approach, the linking of a number of detailed, specialized models, we discuss successively simpler modeling approaches and the compromises they involve.

Suggested Citation

  • Eto, Joseph H., 1990. "An overview of analysis tools for integrated resource planning," Energy, Elsevier, vol. 15(11), pages 969-977.
    • Handle: RePEc:eee:energy:v:15:y:1990:i:11:p:969-977
    DOI: 10.1016/0360-5442(90)90022-T
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    Cited by:

    1. Wilkerson, Jordan & Larsen, Peter & Barbose, Galen, 2014. "Survey of Western U.S. electric utility resource plans," Energy Policy, Elsevier, vol. 66(C), pages 90-103.
    2. Carvallo, Juan Pablo & Sanstad, Alan H. & Larsen, Peter H., 2019. "Exploring the relationship between planning and procurement in western U.S. electric utilities," Energy, Elsevier, vol. 183(C), pages 4-15.
    3. Chen, Hao & Tang, Bao-Jun & Liao, Hua & Wei, Yi-Ming, 2016. "A multi-period power generation planning model incorporating the non-carbon external costs: A case study of China," Applied Energy, Elsevier, vol. 183(C), pages 1333-1345.
    4. Nhan T. Nguyen & Minh Ha-Duong, 2009. "The potential for mitigation of CO2 emissions in Vietnam's power sector," Working Papers 22, Development and Policies Research Center (DEPOCEN), Vietnam.
    5. De Jonghe, C. & Hobbs, B. F. & Belmans, R., 2011. "Integrating short-term demand response into long-term investment planning," Cambridge Working Papers in Economics 1132, Faculty of Economics, University of Cambridge.
    6. Zheng, Yanan & Hu, Zhaoguang & Wang, Jianhui & Wen, Quan, 2014. "IRSP (integrated resource strategic planning) with interconnected smart grids in integrating renewable energy and implementing DSM (demand side management) in China," Energy, Elsevier, vol. 76(C), pages 863-874.
    7. Schaeffer, Roberto & Szklo, Alexandre Salem & Pereira de Lucena, André Frossard & Moreira Cesar Borba, Bruno Soares & Pupo Nogueira, Larissa Pinheiro & Fleming, Fernanda Pereira & Troccoli, Alberto & , 2012. "Energy sector vulnerability to climate change: A review," Energy, Elsevier, vol. 38(1), pages 1-12.
    8. Shadman, F. & Sadeghipour, S. & Moghavvemi, M. & Saidur, R., 2016. "Drought and energy security in key ASEAN countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 50-58.
    9. Hobbs, Benjamin F., 1995. "Optimization methods for electric utility resource planning," European Journal of Operational Research, Elsevier, vol. 83(1), pages 1-20, May.

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