IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i10p4180-d1150332.html
   My bibliography  Save this article

The Faster the Better? Optimal Warm-Up Strategies for a Micro Combined Heat and Power Plant

Author

Listed:
  • Tammo Zobel

    (Institute for Dynamic Systems and Control, ETH Zurich, Sonneggstrasse 3, 8092 Zurich, Switzerland)

  • Andreas Ritter

    (Institute for Dynamic Systems and Control, ETH Zurich, Sonneggstrasse 3, 8092 Zurich, Switzerland)

  • Christopher H. Onder

    (Institute for Dynamic Systems and Control, ETH Zurich, Sonneggstrasse 3, 8092 Zurich, Switzerland)

Abstract

The warm-up process is a critical operation phase for micro Combined Heat and Power (mCHP) plants, directly impacting their efficiency, reliability, and lifetime. As small decentralized power generation units are increasingly expected to be operated on demand, start-ups will occur more frequently and thus the importance of the warm-up process will further increase. In this study, we address this problem by presenting a mathematical optimization framework that finds optimal actuator trajectories that significantly reduce the warm-up time and improve the thermal efficiency of an mCHP plant. The proposed optimization framework is highly flexible and adaptable to various objective functions, such as maximizing efficiency or minimizing the deviation from desired temperature references. The underlying mathematical model has been experimentally validated on a physical mCHP test rig. Selected case studies further demonstrate the effectiveness and flexibility of the framework and show that with the optimized actuator trajectories, the mCHP plant can reach its steady-state operating temperature in 40% less time. The results also indicate that the shortest warm-up time does not necessarily lead to the highest thermal efficiency. Accordingly, the methodology proposed in this paper provides a powerful tool to study higher-level operational strategies of mCHP plants and thus to maximize their overall performance, which directly translates into an improved operational cost-effectiveness, particularly in demand-driven energy landscapes.

Suggested Citation

  • Tammo Zobel & Andreas Ritter & Christopher H. Onder, 2023. "The Faster the Better? Optimal Warm-Up Strategies for a Micro Combined Heat and Power Plant," Energies, MDPI, vol. 16(10), pages 1-24, May.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:10:p:4180-:d:1150332
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/10/4180/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/10/4180/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guido Marseglia & Carlo Maria Medaglia & Alessandro Petrozzi & Andrea Nicolini & Franco Cotana & Federico Sormani, 2019. "Experimental Tests and Modeling on a Combined Heat and Power Biomass Plant," Energies, MDPI, vol. 12(13), pages 1-17, July.
    2. Pereira, João S. & Ribeiro, José B. & Mendes, Ricardo & Vaz, Gilberto C. & André, Jorge C., 2018. "ORC based micro-cogeneration systems for residential application – A state of the art review and current challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 728-743.
    3. Tan, Dongli & Meng, Yujun & Tian, Jie & Zhang, Chengtao & Zhang, Zhiqing & Yang, Guanhua & Cui, Shuwan & Hu, Jingyi & Zhao, Ziheng, 2023. "Utilization of renewable and sustainable diesel/methanol/n-butanol (DMB) blends for reducing the engine emissions in a diesel engine with different pre-injection strategies," Energy, Elsevier, vol. 269(C).
    4. Murugan, S. & Horák, Bohumil, 2016. "A review of micro combined heat and power systems for residential applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 144-162.
    5. Marrasso, E. & Roselli, C. & Sasso, M. & Tariello, F., 2019. "Comparison of centralized and decentralized air-conditioning systems for a multi-storey/multi users building integrated with electric and diesel vehicles and considering the evolution of the national ," Energy, Elsevier, vol. 177(C), pages 319-333.
    6. Lorenzo Damiani & Roberto Revetria & Pietro Giribone, 2022. "A Dynamic Simulation Model for a Heat Exchanger Malfunction Monitoring," Energies, MDPI, vol. 15(5), pages 1-20, March.
    7. Tică, Adrian & Guéguen, Hervé & Dumur, Didier & Faille, Damien & Davelaar, Frans, 2012. "Design of a combined cycle power plant model for optimization," Applied Energy, Elsevier, vol. 98(C), pages 256-265.
    8. Mohammadian, Poorya Keshavarz & Saidi, Mohammad Hassan, 2019. "Simulation of startup operation of an industrial twin-shaft gas turbine based on geometry and control logic," Energy, Elsevier, vol. 183(C), pages 1295-1313.
    9. Wang, Jiawei & You, Shi & Zong, Yi & Træholt, Chresten & Dong, Zhao Yang & Zhou, You, 2019. "Flexibility of combined heat and power plants: A review of technologies and operation strategies," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    10. Shakibi, Hamid & Shokri, Afshar & Assareh, Ehsanolah & Yari, Mortaza & Lee, Moonyong, 2023. "Using machine learning approaches to model and optimize a combined solar/natural gas-based power and freshwater cogeneration system," Applied Energy, Elsevier, vol. 333(C).
    11. Guanglin Zhang & Yu Cao & Yongsheng Cao & Demin Li & Lin Wang, 2017. "Optimal Energy Management for Microgrids with Combined Heat and Power (CHP) Generation, Energy Storages, and Renewable Energy Sources," Energies, MDPI, vol. 10(9), pages 1-18, August.
    Full references (including those not matched with items on IDEAS)

    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. Eid Gul & Giorgio Baldinelli & Pietro Bartocci, 2022. "Energy Transition: Renewable Energy-Based Combined Heat and Power Optimization Model for Distributed Communities," Energies, MDPI, vol. 15(18), pages 1-18, September.
    2. Arteconi, Alessia & Del Zotto, Luca & Tascioni, Roberto & Cioccolanti, Luca, 2019. "Modelling system integration of a micro solar Organic Rankine Cycle plant into a residential building," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    3. Li, Yang & Wang, Jinlong & Zhao, Dongbo & Li, Guoqing & Chen, Chen, 2018. "A two-stage approach for combined heat and power economic emission dispatch: Combining multi-objective optimization with integrated decision making," Energy, Elsevier, vol. 162(C), pages 237-254.
    4. Muhammad Kashif Rafique & Zunaib Maqsood Haider & Khawaja Khalid Mehmood & Muhammad Saeed Uz Zaman & Muhammad Irfan & Saad Ullah Khan & Chul-Hwan Kim, 2018. "Optimal Scheduling of Hybrid Energy Resources for a Smart Home," Energies, MDPI, vol. 11(11), pages 1-19, November.
    5. Kotowicz, Janusz & Brzęczek, Mateusz, 2019. "Comprehensive multivariable analysis of the possibility of an increase in the electrical efficiency of a modern combined cycle power plant with and without a CO2 capture and compression installations ," Energy, Elsevier, vol. 175(C), pages 1100-1120.
    6. Jie Hu & Wentong Cao & Feng Jiang & Lingling Hu & Qian Chen & Weiguang Zheng & Junming Zhou, 2023. "Study on Multi-Objective Optimization of Power System Parameters of Battery Electric Vehicles," Sustainability, MDPI, vol. 15(10), pages 1-23, May.
    7. Ji, Huichao & Wang, Haixin & Yang, Junyou & Feng, Jiawei & Yang, Yongyue & Okoye, Martin Onyeka, 2021. "Optimal schedule of solid electric thermal storage considering consumer behavior characteristics in combined electricity and heat networks," Energy, Elsevier, vol. 234(C).
    8. Liu, Hong & Zhao, Yue & Gu, Chenghong & Ge, Shaoyun & Yang, Zan, 2021. "Adjustable capability of the distributed energy system: Definition, framework, and evaluation model," Energy, Elsevier, vol. 222(C).
    9. Luca Urbanucci & Francesco D’Ettorre & Daniele Testi, 2019. "A Comprehensive Methodology for the Integrated Optimal Sizing and Operation of Cogeneration Systems with Thermal Energy Storage," Energies, MDPI, vol. 12(5), pages 1-17, March.
    10. Biao Li & Pengfei Wang & Peng Sun & Rui Meng & Jun Zeng & Guanghui Liu, 2023. "A Model for Determining the Optimal Decommissioning Interval of Energy Equipment Based on the Whole Life Cycle Cost," Sustainability, MDPI, vol. 15(6), pages 1-28, March.
    11. De Lorenzi, Andrea & Gambarotta, Agostino & Morini, Mirko & Rossi, Michele & Saletti, Costanza, 2020. "Setup and testing of smart controllers for small-scale district heating networks: An integrated framework," Energy, Elsevier, vol. 205(C).
    12. Liu, Jian & Xu, Yantao & Zhang, Yaning & Shuai, Yong & Li, Bingxi, 2022. "Multi-objective optimization of low temperature cooling water organic Rankine cycle using dual pinch point temperature difference technologies," Energy, Elsevier, vol. 240(C).
    13. Zhang, Zhiqing & Dong, Rui & Tan, Dongli & Duan, Lin & Jiang, Feng & Yao, Xiaoxue & Yang, Dixin & Hu, Jingyi & Zhang, Jian & Zhong, Weihuang & Zhao, Ziheng, 2023. "Effect of structural parameters on diesel particulate filter trapping performance of heavy-duty diesel engines based on grey correlation analysis," Energy, Elsevier, vol. 271(C).
    14. Zhao, Guanjia & Cui, Zhipeng & Xu, Jing & Liu, Wenhao & Ma, Suxia, 2022. "Hybrid modeling-based digital twin for performance optimization with flexible operation in the direct air-cooling power unit," Energy, Elsevier, vol. 254(PC).
    15. Berjawi, A.E.H. & Walker, S.L. & Patsios, C. & Hosseini, S.H.R., 2021. "An evaluation framework for future integrated energy systems: A whole energy systems approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    16. Carraro, Gianluca & Bori, Viola & Lazzaretto, Andrea & Toniato, Giuseppe & Danieli, Piero, 2020. "Experimental investigation of an innovative biomass-fired micro-ORC system for cogeneration applications," Renewable Energy, Elsevier, vol. 161(C), pages 1226-1243.
    17. Zailan, Roziah & Lim, Jeng Shiun & Manan, Zainuddin Abdul & Alwi, Sharifah Rafidah Wan & Mohammadi-ivatloo, Behnam & Jamaluddin, Khairulnadzmi, 2021. "Malaysia scenario of biomass supply chain-cogeneration system and optimization modeling development: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    18. Zheng, Jinfu & Zhou, Zhigang & Zhao, Jianing & Hu, Songtao & Wang, Jinda, 2021. "Effects of intermittent heating on an integrated heat and power dispatch system for wind power integration and corresponding operation regulation," Applied Energy, Elsevier, vol. 287(C).
    19. Bio Gassi, Karim & Baysal, Mustafa, 2023. "Improving real-time energy decision-making model with an actor-critic agent in modern microgrids with energy storage devices," Energy, Elsevier, vol. 263(PE).
    20. Hamdi Abdi, 2023. "A Survey of Combined Heat and Power-Based Unit Commitment Problem: Optimization Algorithms, Case Studies, Challenges, and Future Directions," Mathematics, MDPI, vol. 11(19), pages 1-36, October.

    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:gam:jeners:v:16:y:2023:i:10:p:4180-:d:1150332. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.