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Assessment of the Impact of Renewable Energy Expansion on the Technological Competitiveness of the Cogeneration Model

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  • Yonghoon Im

    (Department of Mechanical System Engineering, Sookmyung Women’s University, 100 Cheongpa-ro 47-gil, Yongsan-gu, Seoul 04310, Korea)

Abstract

The rapid transition from an efficiency-oriented to a renewable energy-based green environment raises questions about the sustainability of cogeneration models in the coming era of climate change. For securing the technological competitiveness of a cogeneration model in terms of sustainability, it is essential to come up with alternatives that can flexibly respond to changes in the market conditions. From the surveyed field operation data of the cogeneration model applied to an apartment complex, it was found that the actual operation performance may differ significantly from the theoretical expectation. Through diagnostic simulation analysis, the main cause of the disappointing performance in the case of the current cogeneration model after installation has been assessed, and the importance of a consistent operation strategy was demonstrated by the event-based correlation analysis based on field operation data. The impact of the rapid expansion and dissemination of the renewable energy market on the relative primary energy savings benefit evaluation of the cogeneration model was analyzed for various operating conditions.

Suggested Citation

  • Yonghoon Im, 2022. "Assessment of the Impact of Renewable Energy Expansion on the Technological Competitiveness of the Cogeneration Model," Energies, MDPI, vol. 15(18), pages 1-27, September.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:18:p:6844-:d:918869
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    1. Gravelsins, Armands & Pakere, Ieva & Tukulis, Anrijs & Blumberga, Dagnija, 2019. "Solar power in district heating. P2H flexibility concept," Energy, Elsevier, vol. 181(C), pages 1023-1035.
    2. Jung, Seung Hwan & Feng, Tianjun, 2020. "Government subsidies for green technology development under uncertainty," European Journal of Operational Research, Elsevier, vol. 286(2), pages 726-739.
    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. Gu, Wei & Wang, Jun & Lu, Shuai & Luo, Zhao & Wu, Chenyu, 2017. "Optimal operation for integrated energy system considering thermal inertia of district heating network and buildings," Applied Energy, Elsevier, vol. 199(C), pages 234-246.
    5. Chung, Mo & Park, Hwa-Choon, 2010. "Development of a software package for community energy system assessment – Part I: Building a load estimator," Energy, Elsevier, vol. 35(7), pages 2767-2776.
    6. Krzysztof Zamasz & Radosław Kapłan & Przemysław Kaszyński & Piotr W. Saługa, 2020. "An Analysis of Support Mechanisms for New CHPs: The Case of Poland," Energies, MDPI, vol. 13(21), pages 1-18, October.
    7. Jie Liu & Sung-Chul Kim & Ki-Yeol Shin, 2021. "Feasibility Study and Economic Analysis of a Fuel-Cell-Based CHP System for a Comprehensive Sports Center with an Indoor Swimming Pool," Energies, MDPI, vol. 14(20), pages 1-21, October.
    8. Schweiger, Gerald & Rantzer, Jonatan & Ericsson, Karin & Lauenburg, Patrick, 2017. "The potential of power-to-heat in Swedish district heating systems," Energy, Elsevier, vol. 137(C), pages 661-669.
    9. Chung, Mo & Park, Hwa-Choon, 2012. "Building energy demand patterns for department stores in Korea," Applied Energy, Elsevier, vol. 90(1), pages 241-249.
    10. Guelpa, Elisa & Barbero, Giulia & Sciacovelli, Adriano & Verda, Vittorio, 2017. "Peak-shaving in district heating systems through optimal management of the thermal request of buildings," Energy, Elsevier, vol. 137(C), pages 706-714.
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    2. Maksymilian Homa & Anna Pałac & Maciej Żołądek & Rafał Figaj, 2022. "Small-Scale Hybrid and Polygeneration Renewable Energy Systems: Energy Generation and Storage Technologies, Applications, and Analysis Methodology," Energies, MDPI, vol. 15(23), pages 1-52, December.

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