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Design of distributed energy system through Electric System Cascade Analysis (ESCA)

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  • Ho, W.S.
  • Hashim, H.
  • Hassim, M.H.
  • Muis, Z.A.
  • Shamsuddin, N.L.M.

Abstract

This paper presents a new numerical method called the Electricity System Cascading Analysis (ESCA). ESCA is developed based on pinch analysis principles and useful for designing and optimizing non-intermittent power generator (biomass, biogas, natural gas, diesel, etc.) and energy storage for Distributed Energy Generation (DEG) system. DEG system configuration for this case study comprise of solar Photovoltaic (PV), biomass power generator and Sodium Sulfur (NaS) battery system. Application of the technique on isolated community consisting of 100 houses and daily energy demand of 845kWh reveals that the power capacity of the biomass power generator is 39.76kW, NaS battery is 75.8kW, and the energy capacity of NaS battery is 157.01kWh.

Suggested Citation

  • Ho, W.S. & Hashim, H. & Hassim, M.H. & Muis, Z.A. & Shamsuddin, N.L.M., 2012. "Design of distributed energy system through Electric System Cascade Analysis (ESCA)," Applied Energy, Elsevier, vol. 99(C), pages 309-315.
    • Handle: RePEc:eee:appene:v:99:y:2012:i:c:p:309-315
    DOI: 10.1016/j.apenergy.2012.04.016
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    References listed on IDEAS

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    1. Yang, Hongxing & Wei, Zhou & Chengzhi, Lou, 2009. "Optimal design and techno-economic analysis of a hybrid solar-wind power generation system," Applied Energy, Elsevier, vol. 86(2), pages 163-169, February.
    2. Haidar, Ahmed M.A. & John, Priscilla N. & Shawal, Mohd, 2011. "Optimal configuration assessment of renewable energy in Malaysia," Renewable Energy, Elsevier, vol. 36(2), pages 881-888.
    3. Gulli, Francesco, 2006. "Small distributed generation versus centralised supply: a social cost-benefit analysis in the residential and service sectors," Energy Policy, Elsevier, vol. 34(7), pages 804-832, May.
    4. Kalantar, M. & Mousavi G., S.M., 2010. "Dynamic behavior of a stand-alone hybrid power generation system of wind turbine, microturbine, solar array and battery storage," Applied Energy, Elsevier, vol. 87(10), pages 3051-3064, October.
    5. Zangeneh, Ali & Jadid, Shahram & Rahimi-Kian, Ashkan, 2009. "Promotion strategy of clean technologies in distributed generation expansion planning," Renewable Energy, Elsevier, vol. 34(12), pages 2765-2773.
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