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An improved two-step floating catchment area method for supporting district building energy planning: A case study of Yongding County city, China

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  • Yu, Dongwei
  • Tan, Hongwei
  • Ruan, Yingjun

Abstract

Traditional energy planning methods emphasize the total energy supply equaling to the total demand and neglect details of the distribution in energy demand and supply within a region or city. An improved two-step floating catchment area (2SFCA) method is developed to reflect internal heterogeneity in energy demand and/or supply and address interactions between them based on respective catchment sizes of different categories of energy sources in a GIS digital environment. The first part of the method delineates how to allocate a variety of energy sources within their service boundaries. The second part evaluates how much to be obtained by a consumer from the available energy sources. Subsequently, it is applied to a case study of Yongding County city, China for supporting district building energy planning. The results show that the improved 2SFCA method can address interactions between energy demand and supply across tax lots and can help planners make precise decisions on selecting what energy sources to meet specific categories of spatial energy demand.

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  • Yu, Dongwei & Tan, Hongwei & Ruan, Yingjun, 2012. "An improved two-step floating catchment area method for supporting district building energy planning: A case study of Yongding County city, China," Applied Energy, Elsevier, vol. 95(C), pages 156-163.
  • Handle: RePEc:eee:appene:v:95:y:2012:i:c:p:156-163
    DOI: 10.1016/j.apenergy.2012.02.036
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    1. Herriges, Joseph A. & Caves, Douglas W. & Train, K. & Windle, R. J., 1987. "A Bayesian Approach to Combining Conditional Demand and Engineering Models of Electricity Usage," Staff General Research Papers Archive 10794, Iowa State University, Department of Economics.
    2. Brownsword, R.A. & Fleming, P.D. & Powell, J.C. & Pearsall, N., 2005. "Sustainable cities - modelling urban energy supply and demand," Applied Energy, Elsevier, vol. 82(2), pages 167-180, October.
    3. Wei Luo & Fahui Wang, 2003. "Measures of Spatial Accessibility to Health Care in a GIS Environment: Synthesis and a Case Study in the Chicago Region," Environment and Planning B, , vol. 30(6), pages 865-884, December.
    4. Haralambopoulos, D.A. & Polatidis, H., 2003. "Renewable energy projects: structuring a multi-criteria group decision-making framework," Renewable Energy, Elsevier, vol. 28(6), pages 961-973.
    5. Huang, J.P. & Poh, K.L. & Ang, B.W., 1995. "Decision analysis in energy and environmental modeling," Energy, Elsevier, vol. 20(9), pages 843-855.
    6. Pekala, Lukasz M. & Tan, Raymond R. & Foo, Dominic C.Y. & Jezowski, Jacek M., 2010. "Optimal energy planning models with carbon footprint constraints," Applied Energy, Elsevier, vol. 87(6), pages 1903-1910, June.
    7. Caves, Douglas W, et al, 1987. "A Bayesian Approach to Combining Conditional Demand and Engineering Models of Electricity Usage," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 438-448, August.
    8. 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.
    9. Lam, Hon Loong & Varbanov, Petar Sabev & Klemes, Jirí Jaromír, 2011. "Regional renewable energy and resource planning," Applied Energy, Elsevier, vol. 88(2), pages 545-550, February.
    10. Hsiao, Cheng & Mountain, Dean C & Illman, Kathleen Ho, 1995. "A Bayesian Integration of End-Use Metering and Conditional-Demand Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 315-326, July.
    11. 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.
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