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Process Integration for Hybrid Power System supply planning and demand management – A review

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  • Mohammad Rozali, Nor Erniza
  • Wan Alwi, Sharifah Rafidah
  • Manan, Zainuddin Abdul
  • Klemeš, Jiří Jaromír

Abstract

Modeling tools for the optimal Hybrid Power Systems (HPS) supply planning and demand management have been relatively established. However, complementary tools that can provide planners, decizion-makers, energy managers and electrical as well as power engineers with graphical and visualization insights that are vital for better conceptual understanding of the problems, particularly at the onset of hybrid power systems planning and design, have just been developed over the last five years. This paper reviews the six-year development of the insight-based graphical and algebraic Process Integration (PI) tools for the optimal HPS supply planning and demand management, i.e., from its inception in the year 2011, until 2016. Known as the Power Pinch Analysis (PoPA), the tool has been among the next-generation PI techniques for resource conservation following the developments of the heat, mass, water, gas, materials, property, solid and carbon emission pinch analysis techniques. This paper discusses the progress, challenges and contributions of PoPA in promoting Renewable Energy (RE) utilization in HPS. Case studies on implementation of PoPA for HPS planning and design presented in the paper show encouraging improvement on HPS profitability and reliability.

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  • Mohammad Rozali, Nor Erniza & Wan Alwi, Sharifah Rafidah & Manan, Zainuddin Abdul & Klemeš, Jiří Jaromír, 2016. "Process Integration for Hybrid Power System supply planning and demand management – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 834-842.
    • Handle: RePEc:eee:rensus:v:66:y:2016:i:c:p:834-842
    DOI: 10.1016/j.rser.2016.08.045
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    References listed on IDEAS

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    1. Liu, Wen Hui & Wan Alwi, Sharifah Rafidah & Hashim, Haslenda & Lim, Jeng Shiun & Mohammad Rozali, Nor Erniza & Ho, Wai Shin, 2016. "Sizing of Hybrid Power System with varying current type using numerical probabilistic approach," Applied Energy, Elsevier, vol. 184(C), pages 1364-1373.
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    7. Theo, Wai Lip & Lim, Jeng Shiun & Wan Alwi, Sharifah Rafidah & Mohammad Rozali, Nor Erniza & Ho, Wai Shin & Abdul-Manan, Zainuddin, 2016. "An MILP model for cost-optimal planning of an on-grid hybrid power system for an eco-industrial park," Energy, Elsevier, vol. 116(P2), pages 1423-1441.
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    11. Wan Alwi, Sharifah Rafidah & Mohammad Rozali, Nor Erniza & Abdul-Manan, Zainuddin & Klemeš, Jiří Jaromír, 2012. "A process integration targeting method for hybrid power systems," Energy, Elsevier, vol. 44(1), pages 6-10.
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    Cited by:

    1. Lee, Jui-Yuan & Aviso, Kathleen B. & Tan, Raymond R., 2019. "Multi-objective optimisation of hybrid power systems under uncertainties," Energy, Elsevier, vol. 175(C), pages 1271-1282.
    2. Yong, Wen Ni & Liew, Peng Yen & Woon, Kok Sin & Wan Alwi, Sharifah Rafidah & Klemeš, Jiří Jaromír, 2021. "A pinch-based multi-energy targeting framework for combined chilling heating power microgrid of urban-industrial symbiosis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    3. Lopez, Neil Stephen A. & Foo, Dominic C.Y. & Tan, Raymond R., 2021. "Optimizing regional electricity trading with Carbon Emissions Pinch Analysis," Energy, Elsevier, vol. 237(C).
    4. Jiang, Yinghua & Kang, Lixia & Liu, Yongzhong, 2020. "Optimal configuration of battery energy storage system with multiple types of batteries based on supply-demand characteristics," Energy, Elsevier, vol. 206(C).
    5. Sinha, Rakesh Kumar & Chaturvedi, Nitin Dutt, 2019. "A review on carbon emission reduction in industries and planning emission limits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    6. Lai, Yee Qing & Wan Alwi, Sharifah Rafidah & Manan, Zainuddin Abdul, 2020. "Graphical customisation of process and utility changes for heat exchanger network retrofit using individual stream temperature versus enthalpy plot," Energy, Elsevier, vol. 203(C).

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