IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i3p907-d735175.html
   My bibliography  Save this article

Supporting Local Authorities to Plan Energy Efficiency in Public Buildings: From Local Needs to Regional Planning

Author

Listed:
  • María Herrando

    (Numerical Fluid-Dynamics Group, I3A, University of Zaragoza, 50018 Zaragoza, Spain)

  • Antonio Gómez

    (Numerical Fluid-Dynamics Group, I3A, University of Zaragoza, 50018 Zaragoza, Spain)

  • Norberto Fueyo

    (Numerical Fluid-Dynamics Group, I3A, University of Zaragoza, 50018 Zaragoza, Spain)

Abstract

The support offered to local authorities in this work consisted of technical and economic training on the integration of energy efficiency measures as well as the development of tools (guidelines, a decision support tool, databases and a visualization platform) that allow local authorities to prepare their building renovation plans. These tools are found very useful for local authorities, particularly in the case of Teruel province, characterised by many small municipalities whose local governments do not have the technical staff to undertake this type of planning. As a result of this work, an energy action plan was elaborated for the implementation of 96 energy efficiency measures in public buildings of Teruel province. The execution of this plan would allow energy savings of 1.3 MWh/year and 245 tonsCO 2e /year of CO 2 emission reduction, involving an investment of EUR 1.2 M. The close collaboration with public authorities made it possible to assess the strengths and weaknesses of using the developed tools. One of the barriers found is the availability of accurate building data (e.g., regarding envelope features) necessary for the decision support tool.

Suggested Citation

  • María Herrando & Antonio Gómez & Norberto Fueyo, 2022. "Supporting Local Authorities to Plan Energy Efficiency in Public Buildings: From Local Needs to Regional Planning," Energies, MDPI, vol. 15(3), pages 1-17, January.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:907-:d:735175
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/3/907/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/3/907/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ciulla, Giuseppina & Lo Brano, Valerio & D’Amico, Antonino, 2016. "Modelling relationship among energy demand, climate and office building features: A cluster analysis at European level," Applied Energy, Elsevier, vol. 183(C), pages 1021-1034.
    2. Büyükalaca, Orhan & Bulut, Hüsamettin & YIlmaz, Tuncay, 2001. "Analysis of variable-base heating and cooling degree-days for Turkey," Applied Energy, Elsevier, vol. 69(4), pages 269-283, August.
    3. Wenxiao Chu & Francesco Calise & Neven Duić & Poul Alberg Østergaard & Maria Vicidomini & Qiuwang Wang, 2020. "Recent Advances in Technology, Strategy and Application of Sustainable Energy Systems," Energies, MDPI, vol. 13(19), pages 1-29, October.
    4. Francesco Calise & Maria Vicidomini & Mário Costa & Qiuwang Wang & Poul Alberg Østergaard & Neven Duić, 2019. "Toward an Efficient and Sustainable Use of Energy in Industries and Cities," Energies, MDPI, vol. 12(16), pages 1-28, August.
    5. De Rosa, Mattia & Bianco, Vincenzo & Scarpa, Federico & Tagliafico, Luca A., 2014. "Heating and cooling building energy demand evaluation; a simplified model and a modified degree days approach," Applied Energy, Elsevier, vol. 128(C), pages 217-229.
    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. Giuseppe Aruta & Fabrizio Ascione & Nicola Bianco & Teresa Iovane & Margherita Mastellone, 2023. "Assessment of the Incentive Rate to Favor the Energy Retrofit of Public Buildings: A Comprehensive Approach for an Italian University Facility," Energies, MDPI, vol. 16(11), pages 1-16, June.
    2. Wenxiao Chu & Maria Vicidomini & Francesco Calise & Neven Duić & Poul Alborg Østergaard & Qiuwang Wang & Maria da Graça Carvalho, 2022. "Recent Advances in Technologies, Methods, and Economic Analysis for Sustainable Development of Energy, Water, and Environment Systems," Energies, MDPI, vol. 15(19), pages 1-24, September.
    3. Sara Capelo & Tiago Soares & Isabel Azevedo & Wellington Fonseca & Manuel A. Matos, 2023. "Design of an Energy Policy for the Decarbonisation of Residential and Service Buildings in Northern Portugal," Energies, MDPI, vol. 16(5), pages 1-19, February.
    4. George M. Stavrakakis & Panagiotis L. Zervas & Konstantinos Terzis & Panagiotis Langouranis & Panagiota Saranti & Yorgos J. Stephanedes, 2023. "Exploitation of Mediterranean Cooperation Projects’ Tools for the Development of Public Buildings’ Energy Efficiency Plans at Local Level: A Case Study in Greece," Energies, MDPI, vol. 16(8), pages 1-33, April.

    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. D'Amico, A. & Ciulla, G. & Panno, D. & Ferrari, S., 2019. "Building energy demand assessment through heating degree days: The importance of a climatic dataset," Applied Energy, Elsevier, vol. 242(C), pages 1285-1306.
    2. Papada, Lefkothea & Kaliampakos, Dimitris, 2016. "Developing the energy profile of mountainous areas," Energy, Elsevier, vol. 107(C), pages 205-214.
    3. Yangyi Song & Ao Du & Tong Cui, 2024. "Using the Degree-Day Method to Analyze Central Heating Energy Consumption in Cities of Northern China," Sustainability, MDPI, vol. 16(3), pages 1-14, January.
    4. Küçüktopcu, Erdem & Cemek, Bilal, 2018. "A study on environmental impact of insulation thickness of poultry building walls," Energy, Elsevier, vol. 150(C), pages 583-590.
    5. Ciulla, Giuseppina & Lo Brano, Valerio & D’Amico, Antonino, 2016. "Modelling relationship among energy demand, climate and office building features: A cluster analysis at European level," Applied Energy, Elsevier, vol. 183(C), pages 1021-1034.
    6. Ciulla, G. & D'Amico, A. & Lo Brano, V. & Traverso, M., 2019. "Application of optimized artificial intelligence algorithm to evaluate the heating energy demand of non-residential buildings at European level," Energy, Elsevier, vol. 176(C), pages 380-391.
    7. Omar, M.N. & Samak, A.A. & Keshek, M.H. & Elsisi, S.F., 2020. "Simulation and validation model for using the energy produced from broiler litter waste in their house and its requirement of energy," Renewable Energy, Elsevier, vol. 159(C), pages 920-928.
    8. Sukjoon Oh & John F. Gardner, 2022. "Large Scale Energy Signature Analysis: Tools for Utility Managers and Planners," Sustainability, MDPI, vol. 14(14), pages 1-19, July.
    9. Yu, Zhen & Wang, Yilan & Ma, Xiaoqian & Shuai, Chuanmin & Zhao, Yujia, 2023. "How critical mineral supply security affects China NEVs industry? Based on a prediction for chromium and cobalt in 2030," Resources Policy, Elsevier, vol. 85(PB).
    10. Chai, Jiale & Huang, Pei & Sun, Yongjun, 2019. "Investigations of climate change impacts on net-zero energy building lifecycle performance in typical Chinese climate regions," Energy, Elsevier, vol. 185(C), pages 176-189.
    11. Ucar, Aynur, 2010. "Thermoeconomic analysis method for optimization of insulation thickness for the four different climatic regions of Turkey," Energy, Elsevier, vol. 35(4), pages 1854-1864.
    12. Rafael Sánchez-Durán & Joaquín Luque & Julio Barbancho, 2019. "Long-Term Demand Forecasting in a Scenario of Energy Transition," Energies, MDPI, vol. 12(16), pages 1-23, August.
    13. Bulut, Hüsamettin & Büyükalaca, Orhan & YIlmaz, Tuncay, 2001. "Bin weather data for Turkey," Applied Energy, Elsevier, vol. 70(2), pages 135-155, October.
    14. Ana Ogando & Natalia Cid & Marta Fernández, 2017. "Energy Modelling and Automated Calibrations of Ancient Building Simulations: A Case Study of a School in the Northwest of Spain," Energies, MDPI, vol. 10(6), pages 1-17, June.
    15. Perera, D.W.U. & Winkler, D. & Skeie, N.-O., 2016. "Multi-floor building heating models in MATLAB and Modelica environments," Applied Energy, Elsevier, vol. 171(C), pages 46-57.
    16. Pilechiha, Peiman & Mahdavinejad, Mohammadjavad & Pour Rahimian, Farzad & Carnemolla, Phillippa & Seyedzadeh, Saleh, 2020. "Multi-objective optimisation framework for designing office windows: quality of view, daylight and energy efficiency," Applied Energy, Elsevier, vol. 261(C).
    17. Ciulla, G. & D'Amico, A., 2019. "Building energy performance forecasting: A multiple linear regression approach," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    18. Gelegenis, John J., 2009. "A simplified quadratic expression for the approximate estimation of heating degree-days to any base temperature," Applied Energy, Elsevier, vol. 86(10), pages 1986-1994, October.
    19. Ucar, Aynur & Balo, Figen, 2010. "Determination of the energy savings and the optimum insulation thickness in the four different insulated exterior walls," Renewable Energy, Elsevier, vol. 35(1), pages 88-94.
    20. Zhang, L.Y. & Jin, L.W. & Wang, Z.N. & Zhang, J.Y. & Liu, X. & Zhang, L.H., 2017. "Effects of wall configuration on building energy performance subject to different climatic zones of China," Applied Energy, Elsevier, vol. 185(P2), pages 1565-1573.

    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:gam:jeners:v:15:y:2022:i:3:p:907-:d:735175. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.