IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v31y2006i12p1883-1896.html
   My bibliography  Save this article

An innovative approach for demand side management—optimal chiller loading by simulated annealing

Author

Listed:
  • Chang, Yung-Chung

Abstract

This investigation attempts to solve the optimal chiller loading (OCL) problem by utilizing simulated annealing (SA). SA eliminates the limitation that the Lagrangian method cannot solve OCL because the kW-PLR curves simultaneously include convex functions and non-convex functions. This study fully addresses the load balance constraint and chiller operating limits. The case study analysis demonstrates that this method solves the Lagrangian problem and generates highly accurate results. The proposed approach can be applied perfectly to the operation of air conditioning systems.

Suggested Citation

  • Chang, Yung-Chung, 2006. "An innovative approach for demand side management—optimal chiller loading by simulated annealing," Energy, Elsevier, vol. 31(12), pages 1883-1896.
    • Handle: RePEc:eee:energy:v:31:y:2006:i:12:p:1883-1896
    DOI: 10.1016/j.energy.2005.10.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544205002185
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2005.10.018?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. Hu, S.-C. & Chuah, Y.K., 2003. "Power consumption of semiconductor fabs in Taiwan," Energy, Elsevier, vol. 28(8), pages 895-907.
    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. 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.
    2. Chang-Ming Lin & Chun-Yin Wu & Ko-Ying Tseng & Chih-Chiang Ku & Sheng-Fuu Lin, 2019. "Applying Two-Stage Differential Evolution for Energy Saving in Optimal Chiller Loading," Energies, MDPI, vol. 12(4), pages 1-12, February.
    3. Wei, Zhongbao & Li, Xiaolu & Xu, Lijun & Cheng, Yanting, 2013. "Comparative study of computational intelligence approaches for NOx reduction of coal-fired boiler," Energy, Elsevier, vol. 55(C), pages 683-692.
    4. Kuo, Cheng-Chien, 2009. "Reactive energy scheduling using bi-objective programming with modified particle swarm optimization," Energy, Elsevier, vol. 34(6), pages 804-815.
    5. Kusiak, Andrew & Li, Mingyang, 2009. "Optimal decision making in ventilation control," Energy, Elsevier, vol. 34(11), pages 1835-1845.
    6. Min-Yong Qi & Jun-Qing Li & Yu-Yan Han & Jin-Xin Dong, 2020. "Optimal Chiller Loading for Energy Conservation Using an Improved Fruit Fly Optimization Algorithm," Energies, MDPI, vol. 13(15), pages 1-18, July.
    7. Li, Ze & Guo, Junfei & Gao, Xinyu & Yang, Xiaohu & He, Ya-Ling, 2023. "A multi-strategy improved sparrow search algorithm of large-scale refrigeration system: Optimal loading distribution of chillers," Applied Energy, Elsevier, vol. 349(C).
    8. 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.
    9. 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.
    10. Federica Acerbi & Mirco Rampazzo & Giuseppe De Nicolao, 2020. "An Exact Algorithm for the Optimal Chiller Loading Problem and Its Application to the Optimal Chiller Sequencing Problem," Energies, MDPI, vol. 13(23), pages 1-29, December.

    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. Min-Suk Jo & Jang-Hoon Shin & Won-Jun Kim & Jae-Weon Jeong, 2017. "Energy-Saving Benefits of Adiabatic Humidification in the Air Conditioning Systems of Semiconductor Cleanrooms," Energies, MDPI, vol. 10(11), pages 1-23, November.
    2. Zhao, Wenxuan & Li, Hangxin & Wang, Shengwei, 2024. "A generic design optimization framework for semiconductor cleanroom air-conditioning systems integrating heat recovery and free cooling for enhanced energy performance," Energy, Elsevier, vol. 286(C).
    3. Zhao, Wenxuan & Li, Hangxin & Wang, Shengwei, 2022. "A comparative analysis on alternative air-conditioning systems for high-tech cleanrooms and their performance in different climate zones," Energy, Elsevier, vol. 261(PA).
    4. Xu, Tengfang & Flapper, Joris & Kramer, Klaas Jan, 2009. "Characterization of energy use and performance of global cheese processing," Energy, Elsevier, vol. 34(11), pages 1993-2000.
    5. Foo, Dominic C.Y. & Ng, Denny K.S. & Leong, Malwynn K.Y. & Chew, Irene M.L. & Subramaniam, Mahendran & Aziz, Ramlan & Lee, Jui-Yuan, 2014. "Targeting and design of chilled water network," Applied Energy, Elsevier, vol. 134(C), pages 589-599.
    6. Armin Ibitz, 2020. "Assessing Taiwan’s endeavors towards a circular economy: the electronics sector," Asia Europe Journal, Springer, vol. 18(4), pages 493-510, December.
    7. Lee, Chien-Chiang & Chang, Chun-Ping, 2007. "The impact of energy consumption on economic growth: Evidence from linear and nonlinear models in Taiwan," Energy, Elsevier, vol. 32(12), pages 2282-2294.
    8. Cheng-Kuang Chang & Tee Lin & Shih-Cheng Hu & Ben-Ran Fu & Jung-Sheng Hsu, 2016. "Various Energy-Saving Approaches to a TFT-LCD Panel Fab," Sustainability, MDPI, vol. 8(9), pages 1-10, September.
    9. Chang, Yung-Chung & Chan, Tien-Shun & Lee, Wen-Shing, 2010. "Economic dispatch of chiller plant by gradient method for saving energy," Applied Energy, Elsevier, vol. 87(4), pages 1096-1101, April.
    10. Hu, Shih-Cheng & Xu, Tengfang & Chaung, Tony & Chan, David Y.-L., 2010. "Characterization of energy use in 300 mm DRAM (Dynamic Random Access Memory) wafer fabrication plants (fabs) in Taiwan," Energy, Elsevier, vol. 35(9), pages 3788-3792.
    11. Xu, Tengfang & Flapper, Joris, 2009. "Energy use and implications for efficiency strategies in global fluid-milk processing industry," Energy Policy, Elsevier, vol. 37(12), pages 5334-5341, December.
    12. Chang, Cheng-Kuang & Hu, Shih-Cheng & Liu, Vincent & Chan, David Yi-Liang & Huang, Chin-Yi & Weng, Ling-Chia, 2012. "Specific energy consumption of dynamic random access memory module supply chain in Taiwan," Energy, Elsevier, vol. 41(1), pages 508-513.
    13. Gao, Wei & Feng, Xiao, 2017. "The power target of a fluid machinery network in a circulating water system," Applied Energy, Elsevier, vol. 205(C), pages 847-854.
    14. Mieczysław Porowski & Monika Jakubiak, 2022. "Energy-Optimal Structures of HVAC System for Cleanrooms as a Function of Key Constant Parameters and External Climate," Energies, MDPI, vol. 15(1), pages 1-41, January.
    15. Chang, Yung-Chung & Chen, Wu-Hsing, 2009. "Optimal chilled water temperature calculation of multiple chiller systems using Hopfield neural network for saving energy," Energy, Elsevier, vol. 34(4), pages 448-456.

    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:31:y:2006:i:12:p:1883-1896. 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.