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Potential Evolution of the Cooling Market in the EU27+UK: An Outlook until 2030

Author

Listed:
  • Simon Pezzutto

    (Institute for Renewable Energy, European Academy of Bolzano (EURAC Research), Viale Druso 1, 39100 Bolzano, Italy)

  • Giulio Quaglini

    (Institute for Renewable Energy, European Academy of Bolzano (EURAC Research), Viale Druso 1, 39100 Bolzano, Italy)

  • Andrea Zambito

    (Institute for Renewable Energy, European Academy of Bolzano (EURAC Research), Viale Druso 1, 39100 Bolzano, Italy)

  • Antonio Novelli

    (Planetek Italia, Via Massaua 12, 70132 Bari, Italy)

  • Philippe Riviere

    (Directorate-General for Energy (DG Energy), European Commission, Unit B3—Buildings and Products, 1049 Brussel, Belgium
    Center for Energy Efficient Systems (CES), Department of Energy and Processes (DEP), Mines ParisTech, PSL University, 60 Boulevard Saint-Michel, CEDEX 06, 75272 Paris, France)

  • Lukas Kranzl

    (Energy Economics Group, Institute of Energy Systems and Electric Drives, TU Wien, Gusshausstrasse 25-29/370-3, 1040 Vienna, Austria)

  • Eric Wilczynski

    (Institute for Renewable Energy, European Academy of Bolzano (EURAC Research), Viale Druso 1, 39100 Bolzano, Italy)

Abstract

This study investigates insights concerning the future of the cooling market of the European Union (plus the United Kingdom) and its possible development for the upcoming decade (until 2030). In this manuscript, a qualitative model—Porter’s five forces analysis (PFFA)—and a quantitative tool—multi-criteria decision analysis (MCDA)—have been applied to produce a forecast and a corresponding validation technique. It has been observed that the MCDA tool came to a similar conclusion as the PFFA methodology, highlighting that, presumably, the cooling market will continue to grow moderately, mainly thanks to research and development (R&D) as the central driving force. Moreover, the latter is strictly connected with R&D developments, economic crises, and the welfare of the European population. Additionally, in this study, an extensive survey conducted on interviews of experts throughout each European country confirmed the slightly positive future developments forecast up to 2030 from the quantitative and qualitative methods mentioned above. The results of the study describe a steady growth of the cooling market in Europe until 2030 of about 1–2% annual increase, for a total gain of 24%.

Suggested Citation

  • Simon Pezzutto & Giulio Quaglini & Andrea Zambito & Antonio Novelli & Philippe Riviere & Lukas Kranzl & Eric Wilczynski, 2022. "Potential Evolution of the Cooling Market in the EU27+UK: An Outlook until 2030," Sustainability, MDPI, vol. 14(8), pages 1-25, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:8:p:4461-:d:789868
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    References listed on IDEAS

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    1. Moreno, Blanca & López, Ana J. & García-Álvarez, María Teresa, 2012. "The electricity prices in the European Union. The role of renewable energies and regulatory electric market reforms," Energy, Elsevier, vol. 48(1), pages 307-313.
    2. Li, Yang & Wang, Jinlong & Zhao, Dongbo & Li, Guoqing & Chen, Chen, 2018. "A two-stage approach for combined heat and power economic emission dispatch: Combining multi-objective optimization with integrated decision making," Energy, Elsevier, vol. 162(C), pages 237-254.
    3. Murthy, Pushpa S. & Madhava Naidu, M., 2012. "Sustainable management of coffee industry by-products and value addition—A review," Resources, Conservation & Recycling, Elsevier, vol. 66(C), pages 45-58.
    4. Gang, Wenjie & Wang, Shengwei & Xiao, Fu & Gao, Dian-ce, 2016. "District cooling systems: Technology integration, system optimization, challenges and opportunities for applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 253-264.
    5. Simon Pezzutto & Matteo De Felice & Reza Fazeli & Lukas Kranzl & Stefano Zambotti, 2017. "Status Quo of the Air-Conditioning Market in Europe: Assessment of the Building Stock," Energies, MDPI, vol. 10(9), pages 1-17, August.
    6. Valerie Eveloy & Dereje S. Ayou, 2019. "Sustainable District Cooling Systems: Status, Challenges, and Future Opportunities, with Emphasis on Cooling-Dominated Regions," Energies, MDPI, vol. 12(2), pages 1-64, January.
    7. Li, Yang & Li, Yahui & Li, Guoqing & Zhao, Dongbo & Chen, Chen, 2018. "Two-stage multi-objective OPF for AC/DC grids with VSC-HVDC: Incorporating decisions analysis into optimization process," Energy, Elsevier, vol. 147(C), pages 286-296.
    8. Juan Francisco De Negri & Simon Pezzutto & Sonia Gantioler & David Moser & Wolfram Sparber, 2020. "A Comprehensive Analysis of Public and Private Funding for Photovoltaics Research and Development in the European Union, Norway, and Turkey," Energies, MDPI, vol. 13(11), pages 1-23, May.
    9. Simon Pezzutto & Gianluca Grilli & Stefano Zambotti & Stefan Dunjic, 2018. "Forecasting Electricity Market Price for End Users in EU28 until 2020—Main Factors of Influence," Energies, MDPI, vol. 11(6), pages 1-18, June.
    10. Dariush Khezrimotlagh & Yao Chen, 2018. "The Optimization Approach," International Series in Operations Research & Management Science, in: Decision Making and Performance Evaluation Using Data Envelopment Analysis, chapter 0, pages 107-134, Springer.
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    Cited by:

    1. Muhsin Kılıç, 2022. "Evaluation of Combined Thermal–Mechanical Compression Systems: A Review for Energy Efficient Sustainable Cooling," Sustainability, MDPI, vol. 14(21), pages 1-38, October.

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