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Development of a software package for community energy system assessment – Part I: Building a load estimator

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  • Chung, Mo
  • Park, Hwa-Choon

Abstract

As part of an assessment software package for community energy systems, a database application is developed to systematically calculate the energy demands for mixes of 12 different types of building in Korea. The program generates the hourly demands for electricity, heating, cooling, and hot water for the mix of building types for 8760h of a year. The calculation is based on field and measured data from major cities throughout the country. The energy demand curves generated by the package can be applied to the basic design processes of CESs (Community Energy Systems).

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  • Chung, Mo & Park, Hwa-Choon, 2010. "Development of a software package for community energy system assessment – Part I: Building a load estimator," Energy, Elsevier, vol. 35(7), pages 2767-2776.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:7:p:2767-2776
    DOI: 10.1016/j.energy.2010.02.027
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    Cited by:

    1. Dirks, James A. & Gorrissen, Willy J. & Hathaway, John H. & Skorski, Daniel C. & Scott, Michael J. & Pulsipher, Trenton C. & Huang, Maoyi & Liu, Ying & Rice, Jennie S., 2015. "Impacts of climate change on energy consumption and peak demand in buildings: A detailed regional approach," Energy, Elsevier, vol. 79(C), pages 20-32.
    2. Saidur, R. & Hasanuzzaman, M. & Yogeswaran, S. & Mohammed, H.A. & Hossain, M.S., 2010. "An end-use energy analysis in a Malaysian public hospital," Energy, Elsevier, vol. 35(12), pages 4780-4785.
    3. Ghiaus, Christian, 2013. "Causality issue in the heat balance method for calculating the design heating and cooling load," Energy, Elsevier, vol. 50(C), pages 292-301.
    4. Juan-Carlos Fraile & Julio San-José & Ana González-Alonso, 2014. "A Boiler Room in a 600-Bed Hospital Complex: Study, Analysis, and Implementation of Energy Efficiency Improvements," Energies, MDPI, vol. 7(5), pages 1-22, May.
    5. Yonghoon Im, 2022. "Assessment of the Impact of Renewable Energy Expansion on the Technological Competitiveness of the Cogeneration Model," Energies, MDPI, vol. 15(18), pages 1-27, September.
    6. Ghiaus, Christian & Ahmad, Naveed, 2020. "Thermal circuits assembling and state-space extraction for modelling heat transfer in buildings," Energy, Elsevier, vol. 195(C).
    7. Chung, Mo & Park, Hwa-Choon, 2015. "Comparison of building energy demand for hotels, hospitals, and offices in Korea," Energy, Elsevier, vol. 92(P3), pages 383-393.
    8. Chung, Mo & Park, Chuhwan & Lee, Sukgyu & Park, Hwa-Choon & Im, Yong-Hoon & Chang, Youngho, 2012. "A decision support assessment of cogeneration plant for a community energy system in Korea," Energy Policy, Elsevier, vol. 47(C), pages 365-383.
    9. Huang, Zishuo & Yu, Hang & Peng, Zhenwei & Zhao, Mei, 2015. "Methods and tools for community energy planning: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1335-1348.
    10. Mo Chung & Suk Gyu Lee & Chuhwan Park & Hwa-Choon Park & Yong-Hoon Im, 2013. "Development of a Combined Energy-Demands Calculator for Urban Building Communities in Korea," Environment and Planning B, , vol. 40(2), pages 289-310, April.
    11. Burleyson, Casey D. & Voisin, Nathalie & Taylor, Z. Todd & Xie, Yulong & Kraucunas, Ian, 2018. "Simulated building energy demand biases resulting from the use of representative weather stations," Applied Energy, Elsevier, vol. 209(C), pages 516-528.

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