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Optimal sizing of residential gas engine cogeneration system for power interchange operation from energy-saving viewpoint

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  • Wakui, Tetsuya
  • Yokoyama, Ryohei

Abstract

A power interchange operation, in which electricity generated by residential gas engine cogeneration systems is shared among the residences in a housing complex without a reverse power flow to a commercial electric power system, has a high energy-saving effect. In this study, the optimal sizing of the residential gas engine cogeneration system for the power interchange operation is discussed from the energy-saving viewpoint by conducting optimal operational planning based on mixed-integer linear programming. First, the scale effect of the residential gas engine cogeneration system on its performance is identified from the nominal performances of commercial devices. Then, the energy-saving effect of the power interchange operation is analyzed from the optimal operation patterns for various system scales. The result shows that the energy-saving effect increases with the system scale because the heat to power ratio of the system decreases and approaches that of the demand because of the increase in generating efficiency. However, systems with a rated electric output larger than 1 kW exhibit almost the same energy-saving effect. Hence, it is concluded that a system with a rated electric output of 1 kW, which is a commercial device for residential applications, is the optimal scale for the power interchange operation.

Suggested Citation

  • Wakui, Tetsuya & Yokoyama, Ryohei, 2011. "Optimal sizing of residential gas engine cogeneration system for power interchange operation from energy-saving viewpoint," Energy, Elsevier, vol. 36(6), pages 3816-3824.
  • Handle: RePEc:eee:energy:v:36:y:2011:i:6:p:3816-3824
    DOI: 10.1016/j.energy.2010.09.025
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    References listed on IDEAS

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    1. Wakui, Tetsuya & Yokoyama, Ryohei & Shimizu, Ken-ichi, 2010. "Suitable operational strategy for power interchange operation using multiple residential SOFC (solid oxide fuel cell) cogeneration systems," Energy, Elsevier, vol. 35(2), pages 740-750.
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    5. Wakui, Tetsuya & Yokoyama, Ryohei & Tamura, Itaru & Kegasa, Akeshi, 2009. "Effect of power interchange operation of multiple household gas engine cogeneration systems on energy-saving," Energy, Elsevier, vol. 34(12), pages 2092-2100.
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    3. Wakui, Tetsuya & Yokoyama, Ryohei, 2015. "Impact analysis of sampling time interval and battery installation on optimal operational planning of residential cogeneration systems without electric power export," Energy, Elsevier, vol. 81(C), pages 120-136.
    4. Obara, Shin'ya & Kikuchi, Yoshinobu & Ishikawa, Kyosuke & Kawai, Masahito & Kashiwaya, Yoshiaki, 2014. "Operational analysis of a small-capacity cogeneration system with a gas hydrate battery," Energy, Elsevier, vol. 74(C), pages 810-828.
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    6. Cho, Woojin & Kim, Janghyun & Lee, Kwan-Soo, 2012. "Combined heat and power unit capacity for high-heat to power ratio buildings without selling excess electricity to the grid," Energy, Elsevier, vol. 38(1), pages 354-361.
    7. Mongibello, Luigi & Bianco, Nicola & Caliano, Martina & Graditi, Giorgio, 2015. "Influence of heat dumping on the operation of residential micro-CHP systems," Applied Energy, Elsevier, vol. 160(C), pages 206-220.
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    9. Wakui, Tetsuya & Yokoyama, Ryohei, 2012. "Optimal sizing of residential SOFC cogeneration system for power interchange operation in housing complex from energy-saving viewpoint," Energy, Elsevier, vol. 41(1), pages 65-74.
    10. Ren, Fukang & Wei, Ziqing & Zhai, Xiaoqiang, 2022. "A review on the integration and optimization of distributed energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    11. Moradi, Mohammad H. & Hajinazari, Mehdi & Jamasb, Shahriar & Paripour, Mahmoud, 2013. "An energy management system (EMS) strategy for combined heat and power (CHP) systems based on a hybrid optimization method employing fuzzy programming," Energy, Elsevier, vol. 49(C), pages 86-101.
    12. Wakui, Tetsuya & Yokoyama, Ryohei, 2014. "Optimal structural design of residential cogeneration systems in consideration of their operating restrictions," Energy, Elsevier, vol. 64(C), pages 719-733.
    13. Wakui, Tetsuya & Kawayoshi, Hiroki & Yokoyama, Ryohei, 2016. "Optimal structural design of residential power and heat supply devices in consideration of operational and capital recovery constraints," Applied Energy, Elsevier, vol. 163(C), pages 118-133.
    14. Wakui, Tetsuya & Yokoyama, Ryohei, 2015. "Optimal structural design of residential cogeneration systems with battery based on improved solution method for mixed-integer linear programming," Energy, Elsevier, vol. 84(C), pages 106-120.
    15. De Boeck, L. & Verbeke, S. & Audenaert, A. & De Mesmaeker, L., 2015. "Improving the energy performance of residential buildings: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 960-975.
    16. Wakui, Tetsuya & Kinoshita, Takahiro & Yokoyama, Ryohei, 2014. "A mixed-integer linear programming approach for cogeneration-based residential energy supply networks with power and heat interchanges," Energy, Elsevier, vol. 68(C), pages 29-46.
    17. Michel Feidt & Monica Costea, 2012. "Energy and Exergy Analysis and Optimization of Combined Heat and Power Systems. Comparison of Various Systems," Energies, MDPI, vol. 5(9), pages 1-22, September.

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