IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v246y2022ics0360544222002523.html
   My bibliography  Save this article

System requirements and optimization of multi-chillers district cooling plants

Author

Listed:
  • Ismaen, Rabah
  • El Mekkawy, Tarek Y.
  • Pokharel, Shaligram
  • Al-Salem, Mohammed

Abstract

District cooling systems (DCS) are particularly important in the Middle East due to higher overall temperatures on most days of the year. The design, operation, and control of a new DCS should consider the abundant stakeholders and system requirements transformation using the system engineering processes. Integrating these requirements at an early stage in the system model is essential, specifically, the regulation on energy efficiency or system reliability; without such integration, the system may miss some important aspects and lead to higher energy consumption, lower reliability, higher system cost, greater CO2 emissions and may not satisfy cooling demand of the stakeholders. In this paper, a framework for DCS analysis is proposed by considering inputs, process (core), and outputs. The framework considers the structure and behavior of the DCS system to enhance system design and operation. The core of the framework uses a mathematical model in mixed-integer linear programming (MILP) to optimize the overall DCS cost by integrating the system and stakeholders' requirements. The results obtained from the application of the framework show that addressing the requirements reduces cost and increases energy efficiency, and when the cooling demand is variable, it might be better to have multiple capacities for chillers and chiller storage. The paper is helpful for the decision-makers to understand the impact of requirements and their management in the design, operation, and control of multi-chiller DCS in relief with the cost and energy efficiency.

Suggested Citation

  • Ismaen, Rabah & El Mekkawy, Tarek Y. & Pokharel, Shaligram & Al-Salem, Mohammed, 2022. "System requirements and optimization of multi-chillers district cooling plants," Energy, Elsevier, vol. 246(C).
  • Handle: RePEc:eee:energy:v:246:y:2022:i:c:s0360544222002523
    DOI: 10.1016/j.energy.2022.123349
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222002523
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2022.123349?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. Sameti, Mohammad & Haghighat, Fariborz, 2018. "Integration of distributed energy storage into net-zero energy district systems: Optimum design and operation," Energy, Elsevier, vol. 153(C), pages 575-591.
    2. Chua, K.J. & Chou, S.K. & Yang, W.M. & Yan, J., 2013. "Achieving better energy-efficient air conditioning – A review of technologies and strategies," Applied Energy, Elsevier, vol. 104(C), pages 87-104.
    3. Carotenuto, Alberto & Figaj, Rafal Damian & Vanoli, Laura, 2017. "A novel solar-geothermal district heating, cooling and domestic hot water system: Dynamic simulation and energy-economic analysis," Energy, Elsevier, vol. 141(C), pages 2652-2669.
    4. Rezaie, Behnaz & Rosen, Marc A., 2012. "District heating and cooling: Review of technology and potential enhancements," Applied Energy, Elsevier, vol. 93(C), pages 2-10.
    5. Hache, Emmanuel & Palle, Angélique, 2019. "Renewable energy source integration into power networks, research trends and policy implications: A bibliometric and research actors survey analysis," Energy Policy, Elsevier, vol. 124(C), pages 23-35.
    6. Perez-Lombard, Luis & Ortiz, Jose & Maestre, Ismael R., 2011. "The map of energy flow in HVAC systems," Applied Energy, Elsevier, vol. 88(12), pages 5020-5031.
    7. Powell, Kody M. & Kim, Jong Suk & Cole, Wesley J. & Kapoor, Kriti & Mojica, Jose L. & Hedengren, John D. & Edgar, Thomas F., 2016. "Thermal energy storage to minimize cost and improve efficiency of a polygeneration district energy system in a real-time electricity market," Energy, Elsevier, vol. 113(C), pages 52-63.
    8. Coelho, Leandro dos Santos & Klein, Carlos Eduardo & Sabat, Samrat L. & Mariani, Viviana Cocco, 2014. "Optimal chiller loading for energy conservation using a new differential cuckoo search approach," Energy, Elsevier, vol. 75(C), pages 237-243.
    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. Gao, Cheng & Wang, Dan & Sun, Yuying & Wang, Wei & Zhang, Xiuyu, 2023. "Optimal load dispatch of multi-source looped district cooling systems based on energy and hydraulic performances," Energy, Elsevier, vol. 274(C).
    2. Rabah Ismaen & Tarek Y. ElMekkawy & Shaligram Pokharel & Adel Elomri & Mohammed Al-Salem, 2022. "Solar Technology and District Cooling System in a Hot Climate Regions: Optimal Configuration and Technology Selection," Energies, MDPI, vol. 15(7), pages 1-24, April.

    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. Badami, Marco & Fonti, Antonio & Carpignano, Andrea & Grosso, Daniele, 2018. "Design of district heating networks through an integrated thermo-fluid dynamics and reliability modelling approach," Energy, Elsevier, vol. 144(C), pages 826-838.
    2. Huang, Sen & Zuo, Wangda & Sohn, Michael D., 2016. "Amelioration of the cooling load based chiller sequencing control," Applied Energy, Elsevier, vol. 168(C), pages 204-215.
    3. Serafín Alonso & Antonio Morán & Miguel Ángel Prada & Perfecto Reguera & Juan José Fuertes & Manuel Domínguez, 2019. "A Data-Driven Approach for Enhancing the Efficiency in Chiller Plants: A Hospital Case Study," Energies, MDPI, vol. 12(5), pages 1-28, March.
    4. Zahra Fallahi & Gregor P. Henze, 2019. "Interactive Buildings: A Review," Sustainability, MDPI, vol. 11(14), pages 1-26, July.
    5. Sameti, Mohammad & Haghighat, Fariborz, 2019. "Optimization of 4th generation distributed district heating system: Design and planning of combined heat and power," Renewable Energy, Elsevier, vol. 130(C), pages 371-387.
    6. Shin, Hakjong & Kwak, Younghoon & Jo, Seng-Kyoun & Kim, Se-Han & Huh, Jung-Ho, 2023. "Development of an optimal mechanical ventilation system control strategy based on weather forecasting data for outdoor air cooling in livestock housing," Energy, Elsevier, vol. 268(C).
    7. Xiaofeng Guo & Alain Pascal Goumba & Cheng Wang, 2019. "Comparison of Direct and Indirect Active Thermal Energy Storage Strategies for Large-Scale Solar Heating Systems," Energies, MDPI, vol. 12(10), pages 1-18, May.
    8. Calise, Francesco & Cappiello, Francesco Liberato & Dentice d’Accadia, Massimo & Vicidomini, Maria, 2020. "Energy and economic analysis of a small hybrid solar-geothermal trigeneration system: A dynamic approach," Energy, Elsevier, vol. 208(C).
    9. Ríos-Ocampo, J.P. & Olaya, Y. & Osorio, A. & Henao, D. & Smith, R. & Arango-Aramburo, S., 2022. "Thermal districts in Colombia: Developing a methodology to estimate the cooling potential demand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    10. Wang, Yijun & Jin, Xinqiao & Shi, Wantao & Wang, Jiangqing, 2019. "Online chiller loading strategy based on the near-optimal performance map for energy conservation," Applied Energy, Elsevier, vol. 238(C), pages 1444-1451.
    11. Yuan, Weixing & Yang, Bo & Yang, Yufei & Ren, Kexian & Xu, Jian & Liao, Yibing, 2015. "Development and experimental study of the characteristics of a prototype miniature vapor compression refrigerator," Applied Energy, Elsevier, vol. 143(C), pages 47-57.
    12. Solano, J.C. & Olivieri, L. & Caamaño-Martín, E., 2017. "Assessing the potential of PV hybrid systems to cover HVAC loads in a grid-connected residential building through intelligent control," Applied Energy, Elsevier, vol. 206(C), pages 249-266.
    13. Yu, Shiwei & Li, Zhenxi & Wei, Yi-Ming & Liu, Lancui, 2019. "A real option model for geothermal heating investment decision making: Considering carbon trading and resource taxes," Energy, Elsevier, vol. 189(C).
    14. Guelpa, Elisa, 2021. "Impact of thermal masses on the peak load in district heating systems," Energy, Elsevier, vol. 214(C).
    15. Jing, Gang & Cai, Wenjian & Zhang, Xin & Cui, Can & Yin, Xiaohong & Xian, Huacai, 2019. "An energy-saving oriented air balancing strategy for multi-zone demand-controlled ventilation system," Energy, Elsevier, vol. 172(C), pages 1053-1065.
    16. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    17. Sayegh, M.A. & Danielewicz, J. & Nannou, T. & Miniewicz, M. & Jadwiszczak, P. & Piekarska, K. & Jouhara, H., 2017. "Trends of European research and development in district heating technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1183-1192.
    18. Persson, Urban & Wiechers, Eva & Möller, Bernd & Werner, Sven, 2019. "Heat Roadmap Europe: Heat distribution costs," Energy, Elsevier, vol. 176(C), pages 604-622.
    19. Schito, Eva & Conti, Paolo & Testi, Daniele, 2018. "Multi-objective optimization of microclimate in museums for concurrent reduction of energy needs, visitors’ discomfort and artwork preservation risks," Applied Energy, Elsevier, vol. 224(C), pages 147-159.
    20. Fabien Marty & Sylvain Serra & Sabine Sochard & Jean-Michel Reneaume, 2019. "Exergy Analysis and Optimization of a Combined Heat and Power Geothermal Plant," Energies, MDPI, vol. 12(6), pages 1-22, March.

    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:246:y:2022:i:c:s0360544222002523. 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.