IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v50y2013icp445-453.html
   My bibliography  Save this article

Optimal chiller loading in a district cooling system with thermal energy storage

Author

Listed:
  • Powell, Kody M.
  • Cole, Wesley J.
  • Ekarika, Udememfon F.
  • Edgar, Thomas F.

Abstract

A novel technique for solving a dynamic optimal chiller loading problem is presented. This method reduces the complexity of the dynamic problem by considering all chillers to be a single, optimal chiller, which significantly reduces the number of decision variables. A static optimal chiller loading problem is solved as a sub-problem to give the optimal total power required at each time interval. The static optimization problem is solved by choosing the best solution from a series of convex quadratic programming problems, thus ensuring global optimality at each time interval. This hierarchical structure takes advantage of the extra degrees of freedom provided by thermal energy storage, while effectively breaking the problem down into a much simpler problem.

Suggested Citation

  • Powell, Kody M. & Cole, Wesley J. & Ekarika, Udememfon F. & Edgar, Thomas F., 2013. "Optimal chiller loading in a district cooling system with thermal energy storage," Energy, Elsevier, vol. 50(C), pages 445-453.
    • Handle: RePEc:eee:energy:v:50:y:2013:i:c:p:445-453
    DOI: 10.1016/j.energy.2012.10.058
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544212008432
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2012.10.058?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. Lee, Wen-Shing & Chen, Yi -Ting & Wu, Ting-Hau, 2009. "Optimization for ice-storage air-conditioning system using particle swarm algorithm," Applied Energy, Elsevier, vol. 86(9), pages 1589-1595, September.
    2. Sakawa, Masatoshi & Kato, Kosuke & Ushiro, Satoshi, 2002. "Operational planning of district heating and cooling plants through genetic algorithms for mixed 0-1 linear programming," European Journal of Operational Research, Elsevier, vol. 137(3), pages 677-687, March.
    3. Henchoz, Samuel & Buchter, Florian & Favrat, Daniel & Morandin, Matteo & Mercangöz, Mehmet, 2012. "Thermoeconomic analysis of a solar enhanced energy storage concept based on thermodynamic cycles," Energy, Elsevier, vol. 45(1), pages 358-365.
    4. Lee, Tzong-Shing & Lu, Wan-Chen, 2010. "An evaluation of empirically-based models for predicting energy performance of vapor-compression water chillers," Applied Energy, Elsevier, vol. 87(11), pages 3486-3493, November.
    5. Kumaresan, Govindaraj & Sridhar, Rahulram & Velraj, Ramalingom, 2012. "Performance studies of a solar parabolic trough collector with a thermal energy storage system," Energy, Elsevier, vol. 47(1), pages 395-402.
    6. Cavallo, Alfred, 2007. "Controllable and affordable utility-scale electricity from intermittent wind resources and compressed air energy storage (CAES)," Energy, Elsevier, vol. 32(2), pages 120-127.
    7. Niknam, Taher & Golestaneh, Faranak & Malekpour, Ahmadreza, 2012. "Probabilistic energy and operation management of a microgrid containing wind/photovoltaic/fuel cell generation and energy storage devices based on point estimate method and self-adaptive gravitational," Energy, Elsevier, vol. 43(1), pages 427-437.
    8. Lee, Tzong-Shing & Liao, Ke-Yang & Lu, Wan-Chen, 2012. "Evaluation of the suitability of empirically-based models for predicting energy performance of centrifugal water chillers with variable chilled water flow," Applied Energy, Elsevier, vol. 93(C), pages 583-595.
    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. Thangavelu, Sundar Raj & Myat, Aung & Khambadkone, Ashwin, 2017. "Energy optimization methodology of multi-chiller plant in commercial buildings," Energy, Elsevier, vol. 123(C), pages 64-76.
    2. Blanca Foliaco & Antonio Bula & Peter Coombes, 2020. "Improving the Gordon-Ng Model and Analyzing Thermodynamic Parameters to Evaluate Performance in a Water-Cooled Centrifugal Chiller," Energies, MDPI, vol. 13(9), pages 1-20, April.
    3. Lee, S.H. & Lee, W.L., 2013. "Site verification and modeling of desiccant-based system as an alternative to conventional air-conditioning systems for wet markets," Energy, Elsevier, vol. 55(C), pages 1076-1083.
    4. Tipole, Pralhad & Karthikeyan, A. & Bhojwani, Virendra & Patil, Abhay & Oak, Ninad & Ponatil, Amal & Nagori, Palash, 2016. "Applying a magnetic field on liquid line of vapour compression system is a novel technique to increase a performance of the system," Applied Energy, Elsevier, vol. 182(C), pages 376-382.
    5. Yokoyama, Ryohei & Kitano, Hiroyuki & Wakui, Tetsuya, 2017. "Optimal operation of heat supply systems with piping network," Energy, Elsevier, vol. 137(C), pages 888-897.
    6. Bingke Yan & Bo Wang & Lin Zhu & Hesen Liu & Yilu Liu & Xingpei Ji & Dichen Liu, 2015. "A Novel, Stable, and Economic Power Sharing Scheme for an Autonomous Microgrid in the Energy Internet," Energies, MDPI, vol. 8(11), pages 1-24, November.
    7. Abbaspour, M. & Satkin, M. & Mohammadi-Ivatloo, B. & Hoseinzadeh Lotfi, F. & Noorollahi, Y., 2013. "Optimal operation scheduling of wind power integrated with compressed air energy storage (CAES)," Renewable Energy, Elsevier, vol. 51(C), pages 53-59.
    8. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Villafáfila-Robles, Roberto, 2012. "A review of energy storage technologies for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2154-2171.
    9. Waterson, Michael, 2017. "The characteristics of electricity storage, renewables and markets," Energy Policy, Elsevier, vol. 104(C), pages 466-473.
    10. Jorge M. Llamas & David Bullejos & Manuel Ruiz de Adana, 2019. "Optimization of 100 MW e Parabolic-Trough Solar-Thermal Power Plants Under Regulated and Deregulated Electricity Market Conditions," Energies, MDPI, vol. 12(20), pages 1-23, October.
    11. Meng, Hui & Wang, Meihong & Olumayegun, Olumide & Luo, Xiaobo & Liu, Xiaoyan, 2019. "Process design, operation and economic evaluation of compressed air energy storage (CAES) for wind power through modelling and simulation," Renewable Energy, Elsevier, vol. 136(C), pages 923-936.
    12. Kumaresan, G. & Sudhakar, P. & Santosh, R. & Velraj, R., 2017. "Experimental and numerical studies of thermal performance enhancement in the receiver part of solar parabolic trough collectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1363-1374.
    13. Jannelli, E. & Minutillo, M. & Lubrano Lavadera, A. & Falcucci, G., 2014. "A small-scale CAES (compressed air energy storage) system for stand-alone renewable energy power plant for a radio base station: A sizing-design methodology," Energy, Elsevier, vol. 78(C), pages 313-322.
    14. Ben Christopher, S.J. & Carolin Mabel, M., 2020. "A bio-inspired approach for probabilistic energy management of micro-grid incorporating uncertainty in statistical cost estimation," Energy, Elsevier, vol. 203(C).
    15. Ajbar, Wassila & Parrales, A. & Huicochea, A. & Hernández, J.A., 2022. "Different ways to improve parabolic trough solar collectors’ performance over the last four decades and their applications: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    16. Ahmad Khan, Aftab & Naeem, Muhammad & Iqbal, Muhammad & Qaisar, Saad & Anpalagan, Alagan, 2016. "A compendium of optimization objectives, constraints, tools and algorithms for energy management in microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1664-1683.
    17. Amit K. Bhakta & Nitesh K. Panday & Shailendra N. Singh, 2018. "Performance Study of a Cylindrical Parabolic Concentrating Solar Water Heater with Nail Type Twisted Tape Inserts in the Copper Absorber Tube," Energies, MDPI, vol. 11(1), pages 1-15, January.
    18. Ferruzzi, Gabriella & Cervone, Guido & Delle Monache, Luca & Graditi, Giorgio & Jacobone, Francesca, 2016. "Optimal bidding in a Day-Ahead energy market for Micro Grid under uncertainty in renewable energy production," Energy, Elsevier, vol. 106(C), pages 194-202.
    19. Ghahramani, Mehrdad & Nazari-Heris, Morteza & Zare, Kazem & Mohammadi-Ivatloo, Behnam, 2019. "Energy and reserve management of a smart distribution system by incorporating responsive-loads /battery/wind turbines considering uncertain parameters," Energy, Elsevier, vol. 183(C), pages 205-219.
    20. Christoph Wenge & Robert Pietracho & Stephan Balischewski & Bartlomiej Arendarski & Pio Lombardi & Przemyslaw Komarnicki & Leszek Kasprzyk, 2020. "Multi Usage Applications of Li-Ion Battery Storage in a Large Photovoltaic Plant: A Practical Experience," Energies, MDPI, vol. 13(18), pages 1-18, September.

    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:50:y:2013:i:c:p:445-453. 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.