IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v266y2020ics0306261920303688.html
   My bibliography  Save this article

Characterization of cooling loads in the wine industry and novel seasonal indicator for reliable assessment of energy saving through retrofit of chillers

Author

Listed:
  • Catrini, P.
  • Panno, D.
  • Cardona, F.
  • Piacentino, A.

Abstract

The food sector is a major consumer of energy and growing efforts are being made in the search for solutions that will guarantee the efficient and sustainable use of energy resources. Among the different sectors, wineries are attracting particular interest due to the continuous growth of the global market and production. Surveys conducted in the winemaking sector have highlighted the importance of performing accurate energy audits and have identified the installation of efficient refrigeration systems as a promising solution in a variety of cases. Unfortunately, the savings achievable by efficient cooling technologies are often estimated using simplified approaches which do not take into consideration the actual operating conditions of the equipment typically variable on seasonal and daily bases. In this paper a novel bottom-up procedure is presented, aimed at developing reliable profiles for refrigeration and air-conditioning loads and at assessing the extent to which more efficient chilling units could contribute to reducing electricity consumption. The use of standard Seasonal Energy Efficiency Ratios is critically discussed and a novel customized indicator is proposed. The method is applied to a medium-scale winery producing still red and white wines and sparkling wines, for which only aggregated energy consumption data are available. After deriving detailed load profiles, it is proven that the use of standard seasonal indicators leads to 56.85% and 83.87% overestimation of potential energy savings, respectively, for low and medium temperature cooling energy uses, confirming the importance of adopting seasonal indicators customized on the actual operating conditions of chillers.

Suggested Citation

  • Catrini, P. & Panno, D. & Cardona, F. & Piacentino, A., 2020. "Characterization of cooling loads in the wine industry and novel seasonal indicator for reliable assessment of energy saving through retrofit of chillers," Applied Energy, Elsevier, vol. 266(C).
  • Handle: RePEc:eee:appene:v:266:y:2020:i:c:s0306261920303688
    DOI: 10.1016/j.apenergy.2020.114856
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261920303688
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2020.114856?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. 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.
    2. Pantaleo, Antonio M. & Fordham, Julia & Oyewunmi, Oyeniyi A. & De Palma, Pietro & Markides, Christos N., 2018. "Integrating cogeneration and intermittent waste-heat recovery in food processing: Microturbines vs. ORC systems in the coffee roasting industry," Applied Energy, Elsevier, vol. 225(C), pages 782-796.
    3. Jia, Teng & Dai, Yanjun & Wang, Ruzhu, 2018. "Refining energy sources in winemaking industry by using solar energy as alternatives for fossil fuels: A review and perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 278-296.
    4. Bacenetti, Jacopo, 2019. "Heat and cold production for winemaking using pruning residues: Environmental impact assessment," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    5. Daniel Gómez-Lorente & Ovidio Rabaza & Fernando Aznar-Dols & María José Mercado-Vargas, 2017. "Economic and Environmental Study of Wineries Powered by Grid-Connected Photovoltaic Systems in Spain," Energies, MDPI, vol. 10(2), pages 1-14, February.
    6. Oliveira, Cíntia Carla Melgaço de & Brittes, José Luiz Pereira & Silveira Junior, Vivaldo, 2019. "Dynamic operating conditions strategy for water hybrid cooling under variable heating demand," Applied Energy, Elsevier, vol. 237(C), pages 635-645.
    7. Wu, Wentao & Beretta, Claudio & Cronje, Paul & Hellweg, Stefanie & Defraeye, Thijs, 2019. "Environmental trade-offs in fresh-fruit cold chains by combining virtual cold chains with life cycle assessment," Applied Energy, Elsevier, vol. 254(C).
    8. Cho, Jinkyun & Kim, Yundeok, 2016. "Improving energy efficiency of dedicated cooling system and its contribution towards meeting an energy-optimized data center," Applied Energy, Elsevier, vol. 165(C), pages 967-982.
    9. Fernández-Puratich, Harald & Hernández, Diógenes & Tenreiro, Claudio, 2015. "Analysis of energetic performance of vine biomass residues as an alternative fuel for Chilean wine industry," Renewable Energy, Elsevier, vol. 83(C), pages 1260-1267.
    10. Seck, Gondia Sokhna & Guerassimoff, Gilles & Maïzi, Nadia, 2015. "Heat recovery using heat pumps in non-energy intensive industry: Are Energy Saving Certificates a solution for the food and drink industry in France?," Applied Energy, Elsevier, vol. 156(C), pages 374-389.
    11. Carroquino, Javier & Roda, Vicente & Mustata, Radu & Yago, Jesús & Valiño, Luis & Lozano, Antonio & Barreras, Félix, 2018. "Combined production of electricity and hydrogen from solar energy and its use in the wine sector," Renewable Energy, Elsevier, vol. 122(C), pages 251-263.
    12. Li, Shuang-Fei & Liu, Zhen-hua & Wang, Xue-Jiao, 2019. "A comprehensive review on positive cold energy storage technologies and applications in air conditioning with phase change materials," Applied Energy, Elsevier, vol. 255(C).
    13. 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.
    14. Zhang, Chi & Campana, Pietro Elia & Liu, Chengxi & Wang, Ke & Yan, Jinyue, 2019. "Crowdfunding preferences for a sustainable milk product with integrated photovoltaic water pumping system in China," Applied Energy, Elsevier, vol. 255(C).
    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. Andrés Villarruel-Jaramillo & Manuel Pérez-García & José M. Cardemil & Rodrigo A. Escobar, 2021. "Review of Polygeneration Schemes with Solar Cooling Technologies and Potential Industrial Applications," Energies, MDPI, vol. 14(20), pages 1-30, October.
    2. Yan, Biao & Yang, Wansheng & He, Fuquan & Huang, Kehua & Zeng, Wenhao & Zhang, Wenlong & Ye, Haiseng, 2022. "Strategical district cooling system operation in hub airport terminals, a research focusing on COVID-19 pandemic impact," Energy, Elsevier, vol. 255(C).
    3. Davide Pivetta & Sergio Rech & Andrea Lazzaretto, 2020. "Choice of the Optimal Design and Operation of Multi-Energy Conversion Systems in a Prosecco Wine Cellar," Energies, MDPI, vol. 13(23), pages 1-33, November.
    4. Bosu, Issa & Mahmoud, Hatem & Hassan, Hamdy, 2023. "Energy audit and management of an industrial site based on energy efficiency, economic, and environmental analysis," Applied Energy, Elsevier, vol. 333(C).
    5. Golmohamadi, Hessam, 2022. "Demand-side management in industrial sector: A review of heavy industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).

    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. Davide Pivetta & Sergio Rech & Andrea Lazzaretto, 2020. "Choice of the Optimal Design and Operation of Multi-Energy Conversion Systems in a Prosecco Wine Cellar," Energies, MDPI, vol. 13(23), pages 1-33, November.
    2. Claudio Alimonti & Gabriele Pecci, 2021. "Back Analysis of a Horizontal Geothermal Plant Implemented in a Wine Production Process," Sustainability, MDPI, vol. 14(1), pages 1-17, December.
    3. Olszewski, Pawel, 2022. "Experimental analysis of ON/OFF and variable speed drive controlled industrial chiller towards energy efficient operation," Applied Energy, Elsevier, vol. 309(C).
    4. Ho, W.T. & Yu, F.W., 2021. "Improved model and optimization for the energy performance of chiller system with diverse component staging," Energy, Elsevier, vol. 217(C).
    5. Kim, Hyunho & Zheng, Junjie & Yin, Zhenyuan & Kumar, Sreekala & Tee, Jackson & Seo, Yutaek & Linga, Praveen, 2022. "An electrical resistivity-based method for measuring semi-clathrate hydrate formation kinetics: Application for cold storage and transport," Applied Energy, Elsevier, vol. 308(C).
    6. Nieves Garcia-Casarejos & Pilar Gargallo & Javier Carroquino, 2018. "Introduction of Renewable Energy in the Spanish Wine Sector," Sustainability, MDPI, vol. 10(9), pages 1-17, September.
    7. Sovacool, Benjamin K. & Bazilian, Morgan & Griffiths, Steve & Kim, Jinsoo & Foley, Aoife & Rooney, David, 2021. "Decarbonizing the food and beverages industry: A critical and systematic review of developments, sociotechnical systems and policy options," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    8. Dong, Lijun & Kang, Xiaojun & Pan, Mengqi & Zhao, Man & Zhang, Feng & Yao, Hong, 2020. "B-matching-based optimization model for energy allocation in sea surface monitoring," Energy, Elsevier, vol. 192(C).
    9. Yang, Huayu & Zhang, Yuhao & Gao, Wenhua & Yan, Bowen & Zhao, Jianxin & Zhang, Hao & Chen, Wei & Fan, Daming, 2021. "Steam replacement strategy using microwave resonance: A future system for continuous-flow heating applications," Applied Energy, Elsevier, vol. 283(C).
    10. Konečná, Eva & Teng, Sin Yong & Máša, Vítězslav, 2020. "New insights into the potential of the gas microturbine in microgrids and industrial applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    11. Cheng Liu & Hang Yu, 2021. "Evaluation and Optimization of a Two-Phase Liquid-Immersion Cooling System for Data Centers," Energies, MDPI, vol. 14(5), pages 1-21, March.
    12. Ioan Cristian Hoarcă & Nicu Bizon & Ioan Sorin Șorlei & Phatiphat Thounthong, 2023. "Sizing Design for a Hybrid Renewable Power System Using HOMER and iHOGA Simulators," Energies, MDPI, vol. 16(4), pages 1-25, February.
    13. Rostami, Sara & Afrand, Masoud & Shahsavar, Amin & Sheikholeslami, M. & Kalbasi, Rasool & Aghakhani, Saeed & Shadloo, Mostafa Safdari & Oztop, Hakan F., 2020. "A review of melting and freezing processes of PCM/nano-PCM and their application in energy storage," Energy, Elsevier, vol. 211(C).
    14. Zhuang, Chaoqun & Wang, Shengwei & Shan, Kui, 2020. "A risk-based robust optimal chiller sequencing control strategy for energy-efficient operation considering measurement uncertainties," Applied Energy, Elsevier, vol. 280(C).
    15. Zhu, Xu & Zhang, Shuai & Jin, Xinqiao & Du, Zhimin, 2020. "Deep learning based reference model for operational risk evaluation of screw chillers for energy efficiency," Energy, Elsevier, vol. 213(C).
    16. Yang, Ting & Zhao, Yingjie & Pen, Haibo & Wang, Zhaoxia, 2018. "Data center holistic demand response algorithm to smooth microgrid tie-line power fluctuation," Applied Energy, Elsevier, vol. 231(C), pages 277-287.
    17. Assaf, Jihane & Shabani, Bahman, 2019. "A novel hybrid renewable solar energy solution for continuous heat and power supply to standalone-alone applications with ultimate reliability and cost effectiveness," Renewable Energy, Elsevier, vol. 138(C), pages 509-520.
    18. 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.
    19. Dimitris Katsaprakakis & Vasilis Kagiamis & George Zidianakis & Luca Ambrosini, 2019. "Operation Algorithms and Computational Simulation of Physical Cooling and Heat Recovery for Indoor Space Conditioning. A Case Study for a Hydro Power Plant in Lugano, Switzerland," Sustainability, MDPI, vol. 11(17), pages 1-36, August.
    20. Mateu-Royo, Carlos & Navarro-Esbrí, Joaquín & Mota-Babiloni, Adrián & Molés, Francisco & Amat-Albuixech, Marta, 2019. "Experimental exergy and energy analysis of a novel high-temperature heat pump with scroll compressor for waste heat recovery," Applied Energy, Elsevier, vol. 253(C), pages 1-1.

    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:266:y:2020:i:c:s0306261920303688. 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.