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Dynamic Optimization of Combined Cooling, Heating, and Power Systems with Energy Storage Units

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  • Jiyuan Kuang

    (School of Control Science and Engineering, Shandong University, Jinan 250061, China)

  • Chenghui Zhang

    (School of Control Science and Engineering, Shandong University, Jinan 250061, China)

  • Fan Li

    (School of Control Science and Engineering, Shandong University, Jinan 250061, China)

  • Bo Sun

    (School of Control Science and Engineering, Shandong University, Jinan 250061, China)

Abstract

In this paper, a combined cooling, heating, and power (CCHP) system with thermal storage tanks is introduced. Considering the plants’ off-design performance, an efficient methodology is introduced to determine the most economical operation schedule. The complex CCHP system’s state transition equation is extracted by selecting the stored cooling and heating energy as the discretized state variables. Referring to the concept of variable cost and constant cost, repeated computations are saved in phase operating cost calculations. Therefore, the most economical operation schedule is obtained by employing a dynamic solving framework in an extremely short time. The simulation results indicated that the optimized operating cost is reduced by 40.8% compared to the traditional energy supply system.

Suggested Citation

  • Jiyuan Kuang & Chenghui Zhang & Fan Li & Bo Sun, 2018. "Dynamic Optimization of Combined Cooling, Heating, and Power Systems with Energy Storage Units," Energies, MDPI, vol. 11(9), pages 1-16, August.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2288-:d:166711
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    References listed on IDEAS

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    1. Liu, Mingxi & Shi, Yang & Fang, Fang, 2014. "Combined cooling, heating and power systems: A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 1-22.
    2. Palomba, Valeria & Ferraro, Marco & Frazzica, Andrea & Vasta, Salvatore & Sergi, Francesco & Antonucci, Vincenzo, 2018. "Experimental and numerical analysis of a SOFC-CHP system with adsorption and hybrid chillers for telecommunication applications," Applied Energy, Elsevier, vol. 216(C), pages 620-633.
    3. Evangelos Bellos & Christos Tzivanidis, 2017. "Optimization of a Solar-Driven Trigeneration System with Nanofluid-Based Parabolic Trough Collectors," Energies, MDPI, vol. 10(7), pages 1-31, June.
    4. Bischi, Aldo & Taccari, Leonardo & Martelli, Emanuele & Amaldi, Edoardo & Manzolini, Giampaolo & Silva, Paolo & Campanari, Stefano & Macchi, Ennio, 2014. "A detailed MILP optimization model for combined cooling, heat and power system operation planning," Energy, Elsevier, vol. 74(C), pages 12-26.
    5. Fei Wang & Lidong Zhou & Hui Ren & Xiaoli Liu, 2017. "Search Improvement Process-Chaotic Optimization-Particle Swarm Optimization-Elite Retention Strategy and Improved Combined Cooling-Heating-Power Strategy Based Two-Time Scale Multi-Objective Optimizat," Energies, MDPI, vol. 10(12), pages 1-23, November.
    6. Facci, Andrea Luigi & Andreassi, Luca & Ubertini, Stefano, 2014. "Optimization of CHCP (combined heat power and cooling) systems operation strategy using dynamic programming," Energy, Elsevier, vol. 66(C), pages 387-400.
    7. Bilgen, Selçuk & Keles, Sedat & Kaygusuz, Abdullah & SarI, Ahmet & Kaygusuz, Kamil, 2008. "Global warming and renewable energy sources for sustainable development: A case study in Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(2), pages 372-396, February.
    8. Sara Ghaem Sigarchian & Anders Malmquist & Viktoria Martin, 2018. "Design Optimization of a Small-Scale Polygeneration Energy System in Different Climate Zones in Iran," Energies, MDPI, vol. 11(5), pages 1-19, May.
    9. Ju, Liwei & Tan, Zhongfu & Li, Huanhuan & Tan, Qingkun & Yu, Xiaobao & Song, Xiaohua, 2016. "Multi-objective operation optimization and evaluation model for CCHP and renewable energy based hybrid energy system driven by distributed energy resources in China," Energy, Elsevier, vol. 111(C), pages 322-340.
    10. Wang, Jiangjiang & Sui, Jun & Jin, Hongguang, 2015. "An improved operation strategy of combined cooling heating and power system following electrical load," Energy, Elsevier, vol. 85(C), pages 654-666.
    11. Guozheng Li & Rui Wang & Tao Zhang & Mengjun Ming, 2018. "Multi-Objective Optimal Design of Renewable Energy Integrated CCHP System Using PICEA-g," Energies, MDPI, vol. 11(4), pages 1-26, March.
    12. Cho, Heejin & Smith, Amanda D. & Mago, Pedro, 2014. "Combined cooling, heating and power: A review of performance improvement and optimization," Applied Energy, Elsevier, vol. 136(C), pages 168-185.
    13. Mancarella, Pierluigi & Chicco, Gianfranco, 2008. "Assessment of the greenhouse gas emissions from cogeneration and trigeneration systems. Part II: Analysis techniques and application cases," Energy, Elsevier, vol. 33(3), pages 418-430.
    14. Jradi, M. & Riffat, S., 2014. "Tri-generation systems: Energy policies, prime movers, cooling technologies, configurations and operation strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 396-415.
    15. Satya Gopisetty & Peter Treffinger, 2016. "Generic Combined Heat and Power (CHP) Model for the Concept Phase of Energy Planning Process," Energies, MDPI, vol. 10(1), pages 1-17, December.
    16. Wei, Dajun & Chen, Alian & Sun, Bo & Zhang, Chenghui, 2016. "Multi-objective optimal operation and energy coupling analysis of combined cooling and heating system," Energy, Elsevier, vol. 98(C), pages 296-307.
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