IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v89y2015icp372-381.html
   My bibliography  Save this article

Evaluation of operation and control in HVAC (heating, ventilation and air conditioning) system using exergy analysis method

Author

Listed:
  • Du, Zhimin
  • Jin, Xinqiao
  • Fan, Bo

Abstract

The optimal control strategy proposed for HVAC (heating, ventilation and air conditioning) systems was usually compared with the original one, in which the disparity with perfect operation was seldom discussed. Based on the exergy analysis models developed, this paper presents a CPI (control-perfect index) method to evaluate control of HVAC systems as well as obtain the disparity of candidate strategy with ideal operation. Through minimizing the exergy loss in HVAC system, the limited-ideal operation corresponding to specific operation condition is obtained. With DEA (data envelopment analysis) method, the optimization frontier is trended by sets of limited-ideal operation points and viewed as ideal operation. With the benchmark of ideal operation, the CPI scores of various control strategies can be evaluated. An airport HVAC system is selected as a case study and its simulation is validated using the real operation data. Six control strategies used in the HVAC system are evaluated. The results show that the original strategy has the lowest efficiency. Other five optimal strategies have the higher efficiencies because of their higher CPI scores. The disparity of each strategy with ideal operation is also estimated, which points to the inherent challenge of developing global optimal algorithm.

Suggested Citation

  • Du, Zhimin & Jin, Xinqiao & Fan, Bo, 2015. "Evaluation of operation and control in HVAC (heating, ventilation and air conditioning) system using exergy analysis method," Energy, Elsevier, vol. 89(C), pages 372-381.
    • Handle: RePEc:eee:energy:v:89:y:2015:i:c:p:372-381
    DOI: 10.1016/j.energy.2015.05.119
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544215007410
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2015.05.119?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. Utlu, Zafer & Hepbasli, Arif, 2006. "Estimating the energy and exergy utilization efficiencies for the residential-commercial sector: an application," Energy Policy, Elsevier, vol. 34(10), pages 1097-1105, July.
    2. Yildiz, Abdullah & Güngör, Ali, 2009. "Energy and exergy analyses of space heating in buildings," Applied Energy, Elsevier, vol. 86(10), pages 1939-1948, October.
    3. Kondo, Kumiko, 2009. "Energy and exergy utilization efficiencies in the Japanese residential/commercial sectors," Energy Policy, Elsevier, vol. 37(9), pages 3475-3483, September.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Ma, Zhenjun & Wang, Shengwei & Xiao, Fu, 2009. "Online performance evaluation of alternative control strategies for building cooling water systems prior to in situ implementation," Applied Energy, Elsevier, vol. 86(5), pages 712-721, May.
    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. Kazanci, Ongun B. & Shukuya, Masanori, 2022. "A theoretical study of the effects of different heating loads on the exergy performance of water-based and air-based space heating systems in buildings," Energy, Elsevier, vol. 238(PC).
    2. Clara Ceccolini & Roozbeh Sangi, 2022. "Benchmarking Approaches for Assessing the Performance of Building Control Strategies: A Review," Energies, MDPI, vol. 15(4), pages 1-30, February.
    3. Mota-Babiloni, Adrián & Belman-Flores, J.M. & Makhnatch, Pavel & Navarro-Esbrí, Joaquín & Barroso-Maldonado, J.M., 2018. "Experimental exergy analysis of R513A to replace R134a in a small capacity refrigeration system," Energy, Elsevier, vol. 162(C), pages 99-110.
    4. Yang, Zheng & Ghahramani, Ali & Becerik-Gerber, Burcin, 2016. "Building occupancy diversity and HVAC (heating, ventilation, and air conditioning) system energy efficiency," Energy, Elsevier, vol. 109(C), pages 641-649.
    5. Menberg, Kathrin & Heo, Yeonsook & Choi, Wonjun & Ooka, Ryozo & Choudhary, Ruchi & Shukuya, Masanori, 2017. "Exergy analysis of a hybrid ground-source heat pump system," Applied Energy, Elsevier, vol. 204(C), pages 31-46.
    6. Cui, X. & Islam, M.R. & Chua, K.J., 2019. "Experimental study and energy saving potential analysis of a hybrid air treatment cooling system in tropical climates," Energy, Elsevier, vol. 172(C), pages 1016-1026.
    7. Sangi, Roozbeh & Müller, Dirk, 2019. "Application of the second law of thermodynamics to control: A review," Energy, Elsevier, vol. 174(C), pages 938-953.
    8. Du, Zhimin & Jin, Xinqiao & Fang, Xing & Fan, Bo, 2016. "A dual-benchmark based energy analysis method to evaluate control strategies for building HVAC systems," Applied Energy, Elsevier, vol. 183(C), pages 700-714.

    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. Radwan A. Almasri & A. F. Almarshoud & Hanafy M. Omar & Khaled Khodary Esmaeil & Mohammed Alshitawi, 2020. "Exergy and Economic Analysis of Energy Consumption in the Residential Sector of the Qassim Region in the Kingdom of Saudi Arabia," Sustainability, MDPI, vol. 12(7), pages 1-20, March.
    2. Du, Zhimin & Jin, Xinqiao & Fang, Xing & Fan, Bo, 2016. "A dual-benchmark based energy analysis method to evaluate control strategies for building HVAC systems," Applied Energy, Elsevier, vol. 183(C), pages 700-714.
    3. Franck Armel Talla Konchou & Yemeli Wenceslas Koholé & Ghislain Tchuen & Réné Tchinda, 2023. "Energy, exergy and sustainability assessment of Cameroon residential sector," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(11), pages 12439-12465, November.
    4. Baldvinsson, Ivar & Nakata, Toshihiko, 2014. "A comparative exergy and exergoeconomic analysis of a residential heat supply system paradigm of Japan and local source based district heating system using SPECO (specific exergy cost) method," Energy, Elsevier, vol. 74(C), pages 537-554.
    5. Schweiker, Marcel & Shukuya, Masanori, 2010. "Comparative effects of building envelope improvements and occupant behavioural changes on the exergy consumption for heating and cooling," Energy Policy, Elsevier, vol. 38(6), pages 2976-2986, June.
    6. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499.
    7. repec:lan:wpaper:1115 is not listed on IDEAS
    8. Azarnoosh Kafi & Behrouz Daneshian & Mohsen Rostamy-Malkhalifeh, 2021. "Forecasting the confidence interval of efficiency in fuzzy DEA," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 41-59.
    9. Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & de Pinho Matos, Giordano Bruno Braz, 2015. "Statistical evaluation of Data Envelopment Analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 47-60.
    10. Kristiaan Kerstens & Ignace Van de Woestyne, 2018. "Enumeration algorithms for FDH directional distance functions under different returns to scale assumptions," Annals of Operations Research, Springer, vol. 271(2), pages 1067-1078, December.
    11. Ahmad, Usman, 2011. "Financial Reforms and Banking Efficiency: Case of Pakistan," MPRA Paper 34220, University Library of Munich, Germany.
    12. Bowlin, W. F., 1995. "A characterization of the financial condition of the United States' aerospace-defense industrial base," Omega, Elsevier, vol. 23(5), pages 539-555, October.
    13. Büschken, Joachim, 2009. "When does data envelopment analysis outperform a naïve efficiency measurement model?," European Journal of Operational Research, Elsevier, vol. 192(2), pages 647-657, January.
    14. António Afonso & Ana Patricia Montes & José M. Domínguez, 2024. "Measuring Tax Burden Efficiency in OECD Countries: An International Comparison," CESifo Working Paper Series 11333, CESifo.
    15. Helmi Hammami & Thanh Ngo & David Tripe & Dinh-Tri Vo, 2022. "Ranking with a Euclidean common set of weights in data envelopment analysis: with application to the Eurozone banking sector," Annals of Operations Research, Springer, vol. 311(2), pages 675-694, April.
    16. Khanal, Aditya & Koirala, Krishna & Regmi, Madhav, 2016. "Do Financial Constraints Affect Production Efficiency in Drought Prone Areas? A Case from Indonesian Rice Growers," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230087, Southern Agricultural Economics Association.
    17. Jahangoshai Rezaee, Mustafa & Jozmaleki, Mehrdad & Valipour, Mahsa, 2018. "Integrating dynamic fuzzy C-means, data envelopment analysis and artificial neural network to online prediction performance of companies in stock exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 489(C), pages 78-93.
    18. Vuciterna, Rina & Thomsen, Michael & Popp, Jennie & Musliu, Arben, 2017. "Efficiency and Competitiveness of Kosovo Raspberry Producers," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252770, Southern Agricultural Economics Association.
    19. Bogetoft, Peter & Nielsen, Kurt, 2003. "Yardstick Based Procurement Design In Natural Resource Management," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25910, International Association of Agricultural Economists.
    20. Singer, Marcos & Donoso, Patricio & Poblete, Francisco, 2002. "Semi-autonomous planning using linear programming in the Chilean General Treasury," European Journal of Operational Research, Elsevier, vol. 140(2), pages 517-529, July.
    21. Chai, Naijie & Zhou, Wenliang & Hu, Xinlei, 2022. "Safety evaluation of urban rail transit operation considering uncertainty and risk preference: A case study in China," Transport Policy, Elsevier, vol. 125(C), pages 267-288.

    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:89:y:2015:i:c:p:372-381. 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.