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A Process Integration Method for Total Site Cooling, Heating and Power Optimisation with Trigeneration Systems

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  • Khairulnadzmi Jamaluddin

    (Process Systems Engineering Centre (PROSPECT), Research Institute for Sustainable Environment, Universiti Teknologi Malaysia, Johor Bahru 81310 UTM, Malaysia
    School of Chemical and Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310 UTM, Malaysia)

  • Sharifah Rafidah Wan Alwi

    (Process Systems Engineering Centre (PROSPECT), Research Institute for Sustainable Environment, Universiti Teknologi Malaysia, Johor Bahru 81310 UTM, Malaysia
    School of Chemical and Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310 UTM, Malaysia)

  • Zainuddin Abdul Manan

    (Process Systems Engineering Centre (PROSPECT), Research Institute for Sustainable Environment, Universiti Teknologi Malaysia, Johor Bahru 81310 UTM, Malaysia
    School of Chemical and Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310 UTM, Malaysia)

  • Khaidzir Hamzah

    (School of Chemical and Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310 UTM, Malaysia)

  • Jiří Jaromír Klemeš

    (Sustainable Process Integration Laboratory—SPIL, NETME Centre, Faculty of Mechanical Engineering, Brno University of Technology—VUT BRNO, Technická 2896/2, 616 69 Brno, Czech Republic)

Abstract

Research and development on integrated energy systems such as cogeneration and trigeneration to improve the efficiency of thermal energy as well as fuel utilisation have been a key focus of attention by researchers. Total Site Utility Integration is an established methodology for the synergy and integration of utility recovery among multiple processes. However, Total Site Cooling, Heating and Power (TSCHP) integration methods involving trigeneration systems for industrial plants have been much less emphasised. This paper proposes a novel methodology for developing an insight-based numerical Pinch Analysis technique to simultaneously target the minimum cooling, heating and power requirements for a total site energy system. It enables the design of an integrated centralised trigeneration system involving several industrial sites generating the same utilities. The new method is called the Trigeneration System Cascade Analysis (TriGenSCA). The procedure for TriGenSCA involves data extraction, constructions of a Problem Table Algorithm (PTA), Multiple Utility Problem Table Algorithm (MU PTA), Total Site Problem Table Algorithm (TS PTA) and estimation of energy sources by a trigeneration system followed by construction of TriGenSCA, Trigeneration Storage Cascade Table (TriGenSCT) and construction of a Total Site Utility Distribution (TSUD) Table. The TriGenSCA tool is vital for users to determine the optimal size of utilities for generating power, heating and cooling in a trigeneration power plant. Based on the case study, the base fuel source for power, heating and cooling is nuclear energy with a demand load of 72 GWh/d supplied by 10.8 t of Uranium-235. Comparison between conventional PWR producing power, heating and cooling seperately, and trigeneration PWR system with and without integration have been made. The results prove that PWR as a trigeneration system is the most cost-effective, enabling 28% and 17% energy savings as compared to conventional PWR producing power, heating and cooling separately.

Suggested Citation

  • Khairulnadzmi Jamaluddin & Sharifah Rafidah Wan Alwi & Zainuddin Abdul Manan & Khaidzir Hamzah & Jiří Jaromír Klemeš, 2019. "A Process Integration Method for Total Site Cooling, Heating and Power Optimisation with Trigeneration Systems," Energies, MDPI, vol. 12(6), pages 1-34, March.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:6:p:1030-:d:214564
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    References listed on IDEAS

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    Cited by:

    1. Lee, Peoy Ying & Liew, Peng Yen & Walmsley, Timothy Gordon & Wan Alwi, Sharifah Rafidah & Klemeš, Jiří Jaromír, 2020. "Total Site Heat and Power Integration for Locally Integrated Energy Sectors," Energy, Elsevier, vol. 204(C).
    2. Jamaluddin, Khairulnadzmi & Wan Alwi, Sharifah Rafidah & Abd Manan, Zainuddin & Hamzah, Khaidzir & Klemeš, Jiří Jaromír, 2022. "Design of Total Site-Integrated TrigenerationSystem using trigeneration cascade analysis considering transmission losses and sensitivity analysis," Energy, Elsevier, vol. 252(C).
    3. Yi Dong & Jianmin Liu & Yanbin Liu & Xinyong Qiao & Xiaoming Zhang & Ying Jin & Shaoliang Zhang & Tianqi Wang & Qi Kang, 2020. "A RBFNN & GACMOO-Based Working State Optimization Control Study on Heavy-Duty Diesel Engine Working in Plateau Environment," Energies, MDPI, vol. 13(1), pages 1-24, January.
    4. Elin Svensson & Matteo Morandin & Simon Harvey & Stavros Papadokonstantakis, 2020. "Studying the Role of System Aggregation in Energy Targeting: A Case Study of a Swedish Oil Refinery," Energies, MDPI, vol. 13(4), pages 1-28, February.
    5. Rok Gomilšek & Lidija Čuček & Marko Homšak & Raymond R. Tan & Zdravko Kravanja, 2020. "Carbon Emissions Constrained Energy Planning for Aluminum Products," Energies, MDPI, vol. 13(11), pages 1-18, June.
    6. Alkasmoul, Fahad & Asaker, Mohammed & Widuch, Aleksander & Malicki, Marcin & Zwierzchowski, Ryszard & Wołowicz, Marcin, 2023. "Multigeneration source based on novel triple-component chiller configuration co-supplied with renewable and fossil energy operated in Arabic Peninsula conditions," Energy, Elsevier, vol. 263(PC).
    7. Jiří Jaromír Klemeš & Petar Sabev Varbanov & Paweł Ocłoń & Hon Huin Chin, 2019. "Towards Efficient and Clean Process Integration: Utilisation of Renewable Resources and Energy-Saving Technologies," Energies, MDPI, vol. 12(21), pages 1-32, October.
    8. Dumitrascu Gheorghe & Feidt Michel & Popescu Aristotel & Grigorean Stefan, 2019. "Endoreversible Trigeneration Cycle Design Based on Finite Physical Dimensions Thermodynamics," Energies, MDPI, vol. 12(16), pages 1-21, August.
    9. Khairulnadzmi Jamaluddin & Sharifah Rafidah Wan Alwi & Khaidzir Hamzah & Jiří Jaromír Klemeš, 2020. "A Numerical Pinch Analysis Methodology for Optimal Sizing of a Centralized Trigeneration System with Variable Energy Demands," Energies, MDPI, vol. 13(8), pages 1-35, April.
    10. Ryszard Bartnik & Zbigniew Buryn & Anna Hnydiuk-Stefan & Waldemar Skomudek & Aleksandra Otawa, 2020. "Thermodynamic and Economic Analysis of Trigeneration System Comprising a Hierarchical Gas-Gas Engine for Production of Electricity, Heat and Cold," Energies, MDPI, vol. 13(4), pages 1-33, February.

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