IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v171y2016icp287-295.html
   My bibliography  Save this article

Energy reduction for a dual circuit cooling water system using advanced regulatory control

Author

Listed:
  • Muller, C.J.
  • Craig, I.K.

Abstract

Various process utilities are used in the petrochemical industry as auxiliary variables to facilitate the addition/removal of energy to/from the process, power process equipment and inhibit unwanted reaction. Optimisation activities usually focus on the process itself or on the utility consumption though the generation and distribution of these utilities are often overlooked in this regard. Many utilities are prepared or generated far from the process plant and have to be transported or transmitted, giving rise to more losses and potential inefficiencies. To illustrate the potential benefit of utility optimisation, this paper explores the control of a dual circuit cooling water system with focus on energy reduction subject process constraints. This is accomplished through the development of an advanced regulatory control (ARC) and switching strategy which does not require the development of a system model, only rudimentary knowledge of the behaviour of the process and system constraints. The novelty of this manuscript lies in the fact that it demonstrates that significant energy savings can be obtained by applying ARC to a process utility containing both discrete and continuous dynamics. Furthermore, the proposed ARC strategy does not require a plant model, uses only existing plant equipment, and can be implemented on control system hardware commonly used in industry. The simulation results indicate energy saving potential in the region of 30% on the system under investigation.

Suggested Citation

  • Muller, C.J. & Craig, I.K., 2016. "Energy reduction for a dual circuit cooling water system using advanced regulatory control," Applied Energy, Elsevier, vol. 171(C), pages 287-295.
    • Handle: RePEc:eee:appene:v:171:y:2016:i:c:p:287-295
    DOI: 10.1016/j.apenergy.2016.03.069
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261916303877
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2016.03.069?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. Široký, Jan & Oldewurtel, Frauke & Cigler, Jiří & Prívara, Samuel, 2011. "Experimental analysis of model predictive control for an energy efficient building heating system," Applied Energy, Elsevier, vol. 88(9), pages 3079-3087.
    2. Zhang, Shirong & Xia, Xiaohua, 2011. "Modeling and energy efficiency optimization of belt conveyors," Applied Energy, Elsevier, vol. 88(9), pages 3061-3071.
    3. Wu, Zhou & Tazvinga, Henerica & Xia, Xiaohua, 2015. "Demand side management of photovoltaic-battery hybrid system," Applied Energy, Elsevier, vol. 148(C), pages 294-304.
    4. Inglesi-Lotz, Roula & Blignaut, James N., 2011. "South Africa’s electricity consumption: A sectoral decomposition analysis," Applied Energy, Elsevier, vol. 88(12), pages 4779-4784.
    5. Palm, Jenny & Thollander, Patrik, 2010. "An interdisciplinary perspective on industrial energy efficiency," Applied Energy, Elsevier, vol. 87(10), pages 3255-3261, October.
    6. Edwards, K.C. & Finn, D.P., 2015. "Generalised water flow rate control strategy for optimal part load operation of ground source heat pump systems," Applied Energy, Elsevier, vol. 150(C), pages 50-60.
    7. van Staden, Adam Jacobus & Zhang, Jiangfeng & Xia, Xiaohua, 2011. "A model predictive control strategy for load shifting in a water pumping scheme with maximum demand charges," Applied Energy, Elsevier, vol. 88(12), pages 4785-4794.
    8. Zhang, Shirong & Xia, Xiaohua, 2010. "Optimal control of operation efficiency of belt conveyor systems," Applied Energy, Elsevier, vol. 87(6), pages 1929-1937, June.
    9. Middelberg, Arno & Zhang, Jiangfeng & Xia, Xiaohua, 2009. "An optimal control model for load shifting - With application in the energy management of a colliery," Applied Energy, Elsevier, vol. 86(7-8), pages 1266-1273, July.
    10. Zhuan, Xiangtao & Xia, Xiaohua, 2013. "Optimal operation scheduling of a pumping station with multiple pumps," Applied Energy, Elsevier, vol. 104(C), pages 250-257.
    11. Saidur, R. & Rahim, N.A. & Hasanuzzaman, M., 2010. "A review on compressed-air energy use and energy savings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(4), pages 1135-1153, May.
    12. Imhotep P. Alagidede & Tamara E. Mughogho, 2019. "Capital Account Liberalization and Capital Flows to Sub-Saharan Africa: A Panel Threshold Approach," Working Papers 203, Economic Research Southern Africa.
    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. Ma, Keyan & Liu, Mingsheng & Zhang, Jili, 2021. "Online optimization method of cooling water system based on the heat transfer model for cooling tower," Energy, Elsevier, vol. 231(C).
    2. Ênio L. Junior & Moisés T. da Silva & Thiago A. M. Euzébio, 2022. "Avoiding Buffer Tank Overflow in an Iron Ore Dewatering System with Integrated Control System," Sustainability, MDPI, vol. 14(15), pages 1-17, July.
    3. Ma, Jiaze & Wang, Yufei & Feng, Xiao, 2018. "Optimization of multi-plants cooling water system," Energy, Elsevier, vol. 150(C), pages 797-815.
    4. Shi, Shaofei & Wang, Yufei & Wang, Youlei & Feng, Xiao, 2022. "A new optimization method for cooling systems considering low-temperature waste heat utilization in a polysilicon industry," Energy, Elsevier, vol. 238(PA).

    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. Du Plessis, Gideon Edgar & Liebenberg, Leon & Mathews, Edward Henry, 2013. "The use of variable speed drives for cost-effective energy savings in South African mine cooling systems," Applied Energy, Elsevier, vol. 111(C), pages 16-27.
    2. Numbi, B.P. & Xia, X., 2015. "Systems optimization model for energy management of a parallel HPGR crushing process," Applied Energy, Elsevier, vol. 149(C), pages 133-147.
    3. Numbi, B.P. & Xia, X., 2016. "Optimal energy control of a crushing process based on vertical shaft impactor," Applied Energy, Elsevier, vol. 162(C), pages 1653-1661.
    4. Numbi, B.P. & Zhang, J. & Xia, X., 2014. "Optimal energy management for a jaw crushing process in deep mines," Energy, Elsevier, vol. 68(C), pages 337-348.
    5. Wanjiru, Evan M. & Xia, Xiaohua, 2015. "Energy-water optimization model incorporating rooftop water harvesting for lawn irrigation," Applied Energy, Elsevier, vol. 160(C), pages 521-531.
    6. Wanjiru, Evan M. & Sichilalu, Sam M. & Xia, Xiaohua, 2017. "Model predictive control of heat pump water heater-instantaneous shower powered with integrated renewable-grid energy systems," Applied Energy, Elsevier, vol. 204(C), pages 1333-1346.
    7. Zhang, Lijun & Chennells, Michael & Xia, Xiaohua, 2018. "A power dispatch model for a ferrochrome plant heat recovery cogeneration system," Applied Energy, Elsevier, vol. 227(C), pages 180-189.
    8. Tebello Mathaba & Xiaohua Xia, 2015. "A Parametric Energy Model for Energy Management of Long Belt Conveyors," Energies, MDPI, vol. 8(12), pages 1-19, December.
    9. Chatterjee, Arnab & Zhang, Lijun & Xia, Xiaohua, 2015. "Optimization of mine ventilation fan speeds according to ventilation on demand and time of use tariff," Applied Energy, Elsevier, vol. 146(C), pages 65-73.
    10. Prince, & Hati, Ananda Shankar, 2021. "A comprehensive review of energy-efficiency of ventilation system using Artificial Intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    11. Numbi, B.P. & Malinga, S.J., 2017. "Optimal energy cost and economic analysis of a residential grid-interactive solar PV system- case of eThekwini municipality in South Africa," Applied Energy, Elsevier, vol. 186(P1), pages 28-45.
    12. Gui, Shusen & Mu, Hailin & Li, Nan, 2014. "Analysis of impact factors on China's CO2 emissions from the view of supply chain paths," Energy, Elsevier, vol. 74(C), pages 405-416.
    13. Kagiri, Charles & Wanjiru, Evan M. & Zhang, Lijun & Xia, Xiaohua, 2018. "Optimized response to electricity time-of-use tariff of a compressed natural gas fuelling station," Applied Energy, Elsevier, vol. 222(C), pages 244-256.
    14. Filipe, Jorge & Bessa, Ricardo J. & Reis, Marisa & Alves, Rita & Póvoa, Pedro, 2019. "Data-driven predictive energy optimization in a wastewater pumping station," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    15. Inglesi-Lotz, R. & Pouris, A., 2012. "Energy efficiency in South Africa: A decomposition exercise," Energy, Elsevier, vol. 42(1), pages 113-120.
    16. Koech Cheruiyot & Ezekiel Lengaram & Mncedisi Siteleki, 2024. "South Africa’s Energy Landscape Amidst the Crisis: Unpacking Energy Sources and Drivers with 2022 South African Census Data," Sustainability, MDPI, vol. 16(2), pages 1-20, January.
    17. Lin, Boqiang & Raza, Muhammad Yousaf, 2021. "Analysis of electricity consumption in Pakistan using index decomposition and decoupling approach," Energy, Elsevier, vol. 214(C).
    18. Sandile Hlatshwayo & Mr. Magnus Saxegaard, 2016. "The Consequences of Policy Uncertainty: Disconnects and Dilutions in the South African Real Effective Exchange Rate-Export Relationship," IMF Working Papers 2016/113, International Monetary Fund.
    19. Monyei, C.G. & Adewumi, A.O., 2017. "Demand Side Management potentials for mitigating energy poverty in South Africa," Energy Policy, Elsevier, vol. 111(C), pages 298-311.
    20. Baxter Williams & Daniel Bishop & Patricio Gallardo & J. Geoffrey Chase, 2023. "Demand Side Management in Industrial, Commercial, and Residential Sectors: A Review of Constraints and Considerations," Energies, MDPI, vol. 16(13), pages 1-28, 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:appene:v:171:y:2016:i:c:p:287-295. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.