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Optimal operation of a CHP plant for space heating as a peak load regulating plant

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  • Lin, Fu
  • Yi, Jiang

Abstract

Due to the huge thermal mass of buildings and the district heating (DH) network, room temperatures in buildings do not change much when the heat output from the heat source varies significantly during the day. Therefore, a combined heating and power (CHP) plant can vary its power output during the day to match the load variation of the electrical utility grid which will change the heat output but have little effect on the quality of space heating. So, a CHP Plant for space heating can act optimally as a peak load regulating plant. This paper studies the optimal operation of a CHP plant used as a peak load regulating plant. The system for study consists of a DH network, an electrical utility grid and a CHP plant in which only an extraction unit is considered for simplicity. The thermodynamic characteristics of the heated buildings and the DH network are used to develop the dynamic relationships between the CHP plant heat output and the building room temperatures. The concept of electricity value equivalent is introduced to evaluate of the generated electricity for each interval of the day. An optimal operation model is built with two objectives: that the customers' space heating requirements are met and that the CHP plant profit is maximized. Then, a new algorithm is proposed for the model and numerical results are presented for a specific case.

Suggested Citation

  • Lin, Fu & Yi, Jiang, 2000. "Optimal operation of a CHP plant for space heating as a peak load regulating plant," Energy, Elsevier, vol. 25(3), pages 283-298.
  • Handle: RePEc:eee:energy:v:25:y:2000:i:3:p:283-298
    DOI: 10.1016/S0360-5442(99)00064-X
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    Citations

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    Cited by:

    1. Hongyu Long & Kunyao Xu & Ruilin Xu & Jianjun He, 2012. "More Wind Power Integration with Adjusted Energy Carriers for Space Heating in Northern China," Energies, MDPI, Open Access Journal, vol. 5(9), pages 1-16, August.
    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, Open Access Journal, vol. 12(16), pages 1-20, August.
    3. Lai, Sau Man & Hui, Chi Wai, 2009. "Feasibility and flexibility for a trigeneration system," Energy, Elsevier, vol. 34(10), pages 1693-1704.
    4. Pini Prato, Alessandro & Strobino, Fabrizio & Broccardo, Marco & Parodi Giusino, Luigi, 2012. "Integrated management of cogeneration plants and district heating networks," Applied Energy, Elsevier, vol. 97(C), pages 590-600.
    5. Kim, Jong Suk & Edgar, Thomas F., 2014. "Optimal scheduling of combined heat and power plants using mixed-integer nonlinear programming," Energy, Elsevier, vol. 77(C), pages 675-690.
    6. Biegel, Benjamin & Hansen, Lars Henrik & Stoustrup, Jakob & Andersen, Palle & Harbo, Silas, 2014. "Value of flexible consumption in the electricity markets," Energy, Elsevier, vol. 66(C), pages 354-362.
    7. Fragaki, Aikaterini & Andersen, Anders N. & Toke, David, 2008. "Exploration of economical sizing of gas engine and thermal store for combined heat and power plants in the UK," Energy, Elsevier, vol. 33(11), pages 1659-1670.
    8. Rolfsman, Björn, 2004. "Combined heat-and-power plants and district heating in a deregulated electricity market," Applied Energy, Elsevier, vol. 78(1), pages 37-52, May.
    9. Horvath, Christopher & Hwang, Yunho & Radermacher, Reinhard & Gerstler, William & Tang, Ching-Jen, 2014. "Waste heat and electrically driven hybrid cooling systems for a high ambient temperature, off-grid application," Energy, Elsevier, vol. 66(C), pages 711-721.
    10. Zhao, X.L. & Fu, L. & Zhang, S.G. & Jiang, Y. & Li, H., 2010. "Performance improvement of a 70 kWe natural gas combined heat and power (CHP) system," Energy, Elsevier, vol. 35(4), pages 1848-1853.
    11. Hendrik Butemann & Katja Schimmelpfeng, 0. "Long-term electricity production planning of a flexible biogas plant considering wear and tear," Journal of Business Economics, Springer, vol. 0, pages 1-25.
    12. Jie, Pengfei & Tian, Zhe & Yuan, Shanshan & Zhu, Neng, 2012. "Modeling the dynamic characteristics of a district heating network," Energy, Elsevier, vol. 39(1), pages 126-134.
    13. Dalla Rosa, A. & Boulter, R. & Church, K. & Svendsen, S., 2012. "District heating (DH) network design and operation toward a system-wide methodology for optimizing renewable energy solutions (SMORES) in Canada: A case study," Energy, Elsevier, vol. 45(1), pages 960-974.

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