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Optimal Operation of Network-Connected Combined Heat and Powers for Customer Profit Maximization

Author

Listed:
  • Da Xie

    (Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Yupu Lu

    (Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Junbo Sun

    (Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Chenghong Gu

    (Department of Electronic and Electrical Engineering, University of Bath, Bath BA2 7AY, UK)

  • Jilai Yu

    (Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China)

Abstract

Network-connected combined heat and powers (CHPs), owned by a community, can export surplus heat and electricity to corresponding heat and electric networks after community loads are satisfied. This paper proposes a new optimization model for network-connected CHP operation. Both CHPs’ overall efficiency and heat to electricity ratio (HTER) are assumed to vary with loading levels. Based on different energy flow scenarios where heat and electricity are exported to the network from the community or imported, four profit models are established accordingly. They reflect the different relationships between CHP energy supply and community load demand across time. A discrete optimization model is then developed to maximize the profit for the community. The models are derived from the intervals determined by the daily operation modes of CHP and real-time buying and selling prices of heat, electricity and natural gas. By demonstrating the proposed models on a 1 MW network-connected CHP, results show that the community profits are maximized in energy markets. Thus, the proposed optimization approach can help customers to devise optimal CHP operating strategies for maximizing benefits.

Suggested Citation

  • Da Xie & Yupu Lu & Junbo Sun & Chenghong Gu & Jilai Yu, 2016. "Optimal Operation of Network-Connected Combined Heat and Powers for Customer Profit Maximization," Energies, MDPI, vol. 9(6), pages 1-17, June.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:6:p:442-:d:71678
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    References listed on IDEAS

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    1. Wang, Hai-Chao & Jiao, Wen-Ling & Lahdelma, Risto & Zou, Ping-Hua, 2011. "Techno-economic analysis of a coal-fired CHP based combined heating system with gas-fired boilers for peak load compensation," Energy Policy, Elsevier, vol. 39(12), pages 7950-7962.
    2. Chenghong Gu & Da Xie & Junbo Sun & Xitian Wang & Qian Ai, 2015. "Optimal Operation of Combined Heat and Power System Based on Forecasted Energy Prices in Real-Time Markets," Energies, MDPI, vol. 8(12), pages 1-16, December.
    3. Keirstead, James & Samsatli, Nouri & Shah, Nilay & Weber, Céline, 2012. "The impact of CHP (combined heat and power) planning restrictions on the efficiency of urban energy systems," Energy, Elsevier, vol. 41(1), pages 93-103.
    4. Kavvadias, K.C. & Maroulis, Z.B., 2010. "Multi-objective optimization of a trigeneration plant," Energy Policy, Elsevier, vol. 38(2), pages 945-954, February.
    5. 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.
    6. Anderson, Jan-Olof & Toffolo, Andrea, 2013. "Improving energy efficiency of sawmill industrial sites by integration with pellet and CHP plants," Applied Energy, Elsevier, vol. 111(C), pages 791-800.
    7. Aghaei, Jamshid & Alizadeh, Mohammad-Iman, 2013. "Multi-objective self-scheduling of CHP (combined heat and power)-based microgrids considering demand response programs and ESSs (energy storage systems)," Energy, Elsevier, vol. 55(C), pages 1044-1054.
    8. Frangopoulos, Christos A., 2012. "A method to determine the power to heat ratio, the cogenerated electricity and the primary energy savings of cogeneration systems after the European Directive," Energy, Elsevier, vol. 45(1), pages 52-61.
    9. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa, 2010. "Optimization of capacity and operation for CCHP system by genetic algorithm," Applied Energy, Elsevier, vol. 87(4), pages 1325-1335, April.
    10. Niemi, R. & Mikkola, J. & Lund, P.D., 2012. "Urban energy systems with smart multi-carrier energy networks and renewable energy generation," Renewable Energy, Elsevier, vol. 48(C), pages 524-536.
    11. Sun, Zeyi & Li, Lin & Bego, Andres & Dababneh, Fadwa, 2015. "Customer-side electricity load management for sustainable manufacturing systems utilizing combined heat and power generation system," International Journal of Production Economics, Elsevier, vol. 165(C), pages 112-119.
    12. Gimelli, Alfredo & Muccillo, Massimiliano, 2013. "Optimization criteria for cogeneration systems: Multi-objective approach and application in an hospital facility," Applied Energy, Elsevier, vol. 104(C), pages 910-923.
    13. Fragaki, Aikaterini & Andersen, Anders N., 2011. "Conditions for aggregation of CHP plants in the UK electricity market and exploration of plant size," Applied Energy, Elsevier, vol. 88(11), pages 3930-3940.
    14. Motevasel, Mehdi & Seifi, Ali Reza & Niknam, Taher, 2013. "Multi-objective energy management of CHP (combined heat and power)-based micro-grid," Energy, Elsevier, vol. 51(C), pages 123-136.
    15. Wang, Jiangjiang & Zhai, Zhiqiang (John) & Jing, Youyin & Zhang, Chunfa, 2010. "Optimization design of BCHP system to maximize to save energy and reduce environmental impact," Energy, Elsevier, vol. 35(8), pages 3388-3398.
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    Cited by:

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    2. Jiecheng Zhu & Xitian Wang & Da Xie & Chenghong Gu, 2019. "Control Strategy for MGT Generation System Optimized by Improved WOA to Enhance Demand Response Capability," Energies, MDPI, vol. 12(16), pages 1-20, August.
    3. Zhang, Chong & Xue, Xue & Du, Qianzhou & Luo, Yimo & Gang, Wenjie, 2019. "Study on the performance of distributed energy systems based on historical loads considering parameter uncertainties for decision making," Energy, Elsevier, vol. 176(C), pages 778-791.
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    5. Gimelli, A. & Muccillo, M., 2019. "Performance assessment of a 15 kW Micro-CHCP plant through the 0D/1D thermo-fluid dynamic characterization of a double water circuit waste heat recovery system," Energy, Elsevier, vol. 181(C), pages 803-814.

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