IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v222y2021ics0360544221000724.html
   My bibliography  Save this article

Optimization modeling of mixed gas engine types with different maintenance spans and costs: Case study OF CCHP to evaluate optimal gas engine operations and combination of the types

Author

Listed:
  • Yamano, Shuhei
  • Nakaya, Takashi
  • Ikegami, Takashi
  • Nakayama, Masayuki
  • Akisawa, Atsushi

Abstract

Combined cooling, heat and power supply systems (CCHP) are expected as a method of efficient use of energy, and gas engines are installed for power and heat supply for them in many cases of District heat and power supply (DHC). Conventionally, it presupposed that the same type of multiple gas engines is installed in a site, and considering the terms of maintenance is only calculate the cost by simple multiplication with assumed unit price. There are two types for gas engines for CCHP such as High-speed type and Medium-speed type depending on the rated rotation speed. The characteristics are different in terms of initial cost, efficiency, and maintenance, and it is possible to install them on one site. Therefore, the objectives of this research are to model the optimal operation of CCHP combining High-speed type and Medium-speed type with the detail maintenance process that several stages are determined by operation hours for each type and to verify the effectiveness of vicarious combinations of different type gas engines and their operation from the economical point of view considering actual maintenance schedule. It is necessary to consider not only the load balance of each equipment but also the elapsed time axis to optimize actual maintenance activities because the maintenance timing is determined by the accumulation of operation hours. In this study, developed the methodology to solve the optimum operation plan of CCHP and the optimum maintenance plan of the gas engines at the same time, and the examined case was a DHC with 3 units of 3800 kW gas engines for the operation of 1 year. The results indicate that the proposed methodology is useful since the annual operation cost is decreased compared with the conventional method. By the optimization considering detail maintenance, engines’ operation hours are controlled to optimize the number of maintenance work even among the same types. A combination of the two types would be better than the system with one type. It implies that the proposed methodology is effective to derive the optimal configuration of CCHP.

Suggested Citation

  • Yamano, Shuhei & Nakaya, Takashi & Ikegami, Takashi & Nakayama, Masayuki & Akisawa, Atsushi, 2021. "Optimization modeling of mixed gas engine types with different maintenance spans and costs: Case study OF CCHP to evaluate optimal gas engine operations and combination of the types," Energy, Elsevier, vol. 222(C).
  • Handle: RePEc:eee:energy:v:222:y:2021:i:c:s0360544221000724
    DOI: 10.1016/j.energy.2021.119823
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221000724
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2021.119823?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Arthur H.A. Melani & Carlos A. Murad & Adherbal Caminada Netto & Gilberto F.M. Souza & Silvio I. Nabeta, 2019. "Maintenance Strategy Optimization of a Coal-Fired Power Plant Cooling Tower through Generalized Stochastic Petri Nets," Energies, MDPI, vol. 12(10), pages 1-28, May.
    2. He Huang & DaPeng Liang & Zhen Tong, 2018. "Integrated Energy Micro-Grid Planning Using Electricity, Heating and Cooling Demands," Energies, MDPI, vol. 11(10), pages 1-20, October.
    3. Jianfei Shen & Fengyun Li & Di Shi & Hongze Li & Xinhua Yu, 2018. "Factors Affecting the Economics of Distributed Natural Gas-Combined Cooling, Heating and Power Systems in China: A Systematic Analysis Based on the Integrated Decision Making Trial and Evaluation Labo," Energies, MDPI, vol. 11(9), pages 1-28, September.
    4. Yuanxin Liu & Feng Yun Li & Xinhua Yu, 2018. "Gas Supply, Pricing Mechanism and the Economics of Power Generation in China," Energies, MDPI, vol. 11(5), pages 1-34, April.
    5. Bo Tang & Gangfeng Gao & Xiangwu Xia & Xiu Yang, 2018. "Integrated Energy System Configuration Optimization for Multi-Zone Heat-Supply Network Interaction," Energies, MDPI, vol. 11(11), pages 1-18, November.
    6. Xiaofeng Dong & Chao Quan & Tong Jiang, 2018. "Optimal Planning of Integrated Energy Systems Based on Coupled CCHP," Energies, MDPI, vol. 11(10), pages 1-27, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yang, Xiaohui & Leng, Zhengyang & Xu, Shaoping & Yang, Chunsheng & Yang, Li & Liu, Kang & Song, Yaoren & Zhang, Liufang, 2021. "Multi-objective optimal scheduling for CCHP microgrids considering peak-load reduction by augmented ε-constraint method," Renewable Energy, Elsevier, vol. 172(C), pages 408-423.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Haokai Xie & Pu Zhao & Xudong Ji & Qun Lin & Lianguang Liu, 2019. "Expansion Planning Method of the Industrial Park Integrated Energy System Considering Regret Aversion," Energies, MDPI, vol. 12(21), pages 1-20, October.
    2. Mu, Chenlu & Ding, Tao & Qu, Ming & Zhou, Quan & Li, Fangxing & Shahidehpour, Mohammad, 2020. "Decentralized optimization operation for the multiple integrated energy systems with energy cascade utilization," Applied Energy, Elsevier, vol. 280(C).
    3. Xueyan Wu & Qun Zhang & Changming Chen & Zesen Li & Xiaojun Zhu & Yuge Chen & Weiqiang Qiu & Li Yang & Zhenzhi Lin, 2021. "Optimal Dispatching of Integrated Electricity and Heating System with Multiple Functional Areas Considering Heat Network Flow Regulation," Energies, MDPI, vol. 14(17), pages 1-24, September.
    4. Wang, Yongli & Li, Jiapu & Wang, Shuo & Yang, Jiale & Qi, Chengyuan & Guo, Hongzhen & Liu, Ximei & Zhang, Hongqing, 2020. "Operational optimization of wastewater reuse integrated energy system," Energy, Elsevier, vol. 200(C).
    5. Emil Cazacu & Lucian-Gabriel Petrescu & Valentin Ioniță, 2022. "Smart Predictive Maintenance Device for Critical In-Service Motors," Energies, MDPI, vol. 15(12), pages 1-16, June.
    6. Tae-Woo Kim & Yenjae Chang & Dae-Wook Kim & Man-Keun Kim, 2020. "Preventive Maintenance and Forced Outages in Power Plants in Korea," Energies, MDPI, vol. 13(14), pages 1-12, July.
    7. Jakov Batelić & Karlo Griparić & Dario Matika, 2021. "Impact of Remediation-Based Maintenance on the Reliability of a Coal-Fired Power Plant Using Generalized Stochastic Petri Nets," Energies, MDPI, vol. 14(18), pages 1-14, September.
    8. Kefan Xie & Zimei Liu, 2019. "Factors Influencing Escalator-Related Incidents in China: A Systematic Analysis Using ISM-DEMATEL Method," IJERPH, MDPI, vol. 16(14), pages 1-15, July.
    9. Jianfei Shen & Fengyun Li & Di Shi & Hongze Li & Xinhua Yu, 2018. "Factors Affecting the Economics of Distributed Natural Gas-Combined Cooling, Heating and Power Systems in China: A Systematic Analysis Based on the Integrated Decision Making Trial and Evaluation Labo," Energies, MDPI, vol. 11(9), pages 1-28, September.
    10. Zhou, Suyang & Zhuang, Wennan & Wu, Zhi & Gu, Wei & Zhan, Xin & Liu, Zhong & Cao, Siming, 2020. "Optimized scheduling of multi-region Gas and Power Complementary system considering tiered gas tariff," Energy, Elsevier, vol. 193(C).
    11. Arthur Henrique de Andrade Melani & Miguel Angelo de Carvalho Michalski & Carlos Alberto Murad & Adherbal Caminada Netto & Gilberto Francisco Martha de Souza, 2022. "Generalized Stochastic Petri Nets for Planning and Optimizing Maintenance Logistics of Small Hydroelectric Power Plants," Energies, MDPI, vol. 15(8), pages 1-16, April.
    12. Zhao, Xin & Zheng, Wenyu & Hou, Zhihua & Chen, Heng & Xu, Gang & Liu, Wenyi & Chen, Honggang, 2022. "Economic dispatch of multi-energy system considering seasonal variation based on hybrid operation strategy," Energy, Elsevier, vol. 238(PA).
    13. Ma, Deyin & Zhang, Lizhi & Sun, Bo, 2021. "An interval scheduling method for the CCHP system containing renewable energy sources based on model predictive control," Energy, Elsevier, vol. 236(C).
    14. Feifan Chen & Haifeng Liang & Yajing Gao & Yongchun Yang & Yuxuan Chen, 2019. "Research on Double-Layer Optimal Scheduling Model of Integrated Energy Park Based on Non-Cooperative Game," Energies, MDPI, vol. 12(16), pages 1-16, August.
    15. Renan Favarão da Silva & Marjorie Maria Bellinello & Gilberto Francisco Martha de Souza & Sara Antomarioni & Maurizio Bevilacqua & Filippo Emanuele Ciarapica, 2021. "Deciding a Multicriteria Decision-Making (MCDM) Method to Prioritize Maintenance Work Orders of Hydroelectric Power Plants," Energies, MDPI, vol. 14(24), pages 1-22, December.
    16. Wei Wei & Haoyue Jia & Yunfei Mu & Jianzhong Wu & Hongjie Jia, 2019. "A Robust Assessment Model of the Solar Electrical-Thermal Energy Comprehensive Accommodation Capability in a District Integrated Energy System," Energies, MDPI, vol. 12(7), pages 1-26, April.
    17. Izabela Godyń & Anna Dubel, 2021. "Evolution of Hydropower Support Schemes in Poland and Their Assessment Using the LCOE Method," Energies, MDPI, vol. 14(24), pages 1-23, December.
    18. Woong Ko & Jinho Kim, 2019. "Generation Expansion Planning Model for Integrated Energy System Considering Feasible Operation Region and Generation Efficiency of Combined Heat and Power," Energies, MDPI, vol. 12(2), pages 1-20, January.
    19. Li, Fengyun & Li, Xingmei & Zheng, Haofeng & Yang, Fei & Dang, Ruinan, 2021. "How alternative energy competition shocks natural gas development in China: A novel time series analysis approach," Resources Policy, Elsevier, vol. 74(C).
    20. Dongmei Zhao & Xuan Xia & Ran Tao, 2019. "Optimal Configuration of Electric-Gas-Thermal Multi-Energy Storage System for Regional Integrated Energy System," Energies, MDPI, vol. 12(13), pages 1-22, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:222:y:2021:i:c:s0360544221000724. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.