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Methodology for Quantifying the Energy Saving Potentials Combining Building Retrofitting, Solar Thermal Energy and Geothermal Resources

Author

Listed:
  • Silvia Soutullo

    (Department of Energy, CIEMAT, 28040 Madrid, Spain)

  • Emanuela Giancola

    (Department of Energy, CIEMAT, 28040 Madrid, Spain)

  • María Nuria Sánchez

    (Department of Energy, CIEMAT, 28040 Madrid, Spain)

  • José Antonio Ferrer

    (Department of Energy, CIEMAT, 28040 Madrid, Spain)

  • David García

    (Department of Energy, University of Oviedo, 33203 Gijón, Spain)

  • María José Súarez

    (Department of Energy, University of Oviedo, 33203 Gijón, Spain)

  • Jesús Ignacio Prieto

    (Department of Physics, University of Oviedo, 33203 Gijón, Spain)

  • Elena Antuña-Yudego

    (Division of Information and Technology, TSK, 33203 Gijón, Spain)

  • Juan Luís Carús

    (Division of Information and Technology, TSK, 33203 Gijón, Spain)

  • Miguel Ángel Fernández

    (Division of Information and Technology, TSK, 33203 Gijón, Spain)

  • María Romero

    (Department of Projects and R&D, GEOTER, 28703 San Sebastian de los Reyes, Spain)

Abstract

New technological, societal and legislative developments are necessary to support transitions to low-carbon energy systems. The building sector is responsible for almost 36% of the global final energy and 40% of CO 2 emissions, so this sector has high potential to contribute to the expansion of positive energy districts. With this aim, a new digital Geographic Information System (GIS) platform has been developed to quantify the energy savings obtained through the implementation of refurbishment measures in residential buildings, including solar thermal collectors and geothermal technologies and assuming the postal district as the representative unit for the territory. Solar resources have been estimated from recently updated solar irradiation maps, whereas geothermal resources have been estimated from geological maps. Urbanistic data have been estimated from official cadastre databases. For representative buildings, the annual energy demand and savings are obtained and compared with reference buildings, both for heating and cooling. The GIS platform provides information on average results for each postal district, as well as estimates for buildings with particular parameters. The methodology has been applied to the Asturian region, an area of about 10,600 km 2 on the Cantabrian coast of Spain, with complex orography and scattered population, qualified as a region in energy transition. High rehabilitation potentials have been achieved for buildings constructed before the implementation of the Spanish Technical Building Code of 2006, being higher for isolated houses than for collective buildings. Some examples of results are introduced in specific localities of different climatic zones.

Suggested Citation

  • Silvia Soutullo & Emanuela Giancola & María Nuria Sánchez & José Antonio Ferrer & David García & María José Súarez & Jesús Ignacio Prieto & Elena Antuña-Yudego & Juan Luís Carús & Miguel Ángel Fernánd, 2020. "Methodology for Quantifying the Energy Saving Potentials Combining Building Retrofitting, Solar Thermal Energy and Geothermal Resources," Energies, MDPI, vol. 13(22), pages 1-25, November.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:22:p:5970-:d:445724
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    References listed on IDEAS

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    Cited by:

    1. Andrés Jonathan Guízar Dena & Miguel Ángel Pascual & Carlos Fernández Bandera, 2021. "Building Energy Model for Mexican Energy Standard Verification Using Physics-Based Open Studio SGSAVE Software Simulation," Sustainability, MDPI, vol. 13(3), pages 1-34, February.
    2. Maria Vicidomini & Diana D’Agostino, 2022. "Geothermal Source Exploitation for Energy Saving and Environmental Energy Production," Energies, MDPI, vol. 15(17), pages 1-5, September.
    3. Sassenou, L.-N. & Olivieri, L. & Olivieri, F., 2024. "Challenges for positive energy districts deployment: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    4. Dimitrios Siakas & Harjinder Rahanu & Elli Georgiadou & Kerstin Siakas & Georgios Lampropoulos, 2025. "Positive Energy Districts Enabling Smart Energy Communities," Energies, MDPI, vol. 18(12), pages 1-20, June.
    5. Darija Gajić & Slobodan Peulić & Tim Mavrič & Anna Sandak & Črtomir Tavzes & Milica Malešević & Mladen Slijepčević, 2021. "Energy Retrofitting Opportunities Using Renewable Materials—Comparative Analysis of the Current Frameworks in Bosnia-Herzegovina and Slovenia," Sustainability, MDPI, vol. 13(2), pages 1-19, January.
    6. Paola Clerici Maestosi, 2021. "Smart Cities and Positive Energy Districts: Urban Perspectives in 2020," Energies, MDPI, vol. 14(9), pages 1-5, April.
    7. Agnieszka Bieda & Agnieszka Cienciała, 2021. "Towards a Renewable Energy Source Cadastre—A Review of Examples from around the World," Energies, MDPI, vol. 14(23), pages 1-34, December.
    8. David Borge-Diez, 2022. "Advanced Energy Efficiency Systems in Buildings," Energies, MDPI, vol. 15(19), pages 1-3, October.
    9. Beatriz M. Paredes-Sánchez & José P. Paredes-Sánchez & Paulino José García-Nieto, 2021. "Evaluation of Implementation of Biomass and Solar Resources by Energy Systems in the Coal-Mining Areas of Spain," Energies, MDPI, vol. 15(1), pages 1-19, December.

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