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Adaptive Comfort Control Implemented Model (ACCIM) for Energy Consumption Predictions in Dwellings under Current and Future Climate Conditions: A Case Study Located in Spain

Author

Listed:
  • Daniel Sánchez-García

    (Department of Building Construction II, University of Seville, 41012 Seville, Spain)

  • David Bienvenido-Huertas

    (Department of Graphical Expression and Building Engineering, University of Seville, 41012 Seville, Spain)

  • Mónica Tristancho-Carvajal

    (Department of Building Construction II, University of Seville, 41012 Seville, Spain)

  • Carlos Rubio-Bellido

    (Department of Building Construction II, University of Seville, 41012 Seville, Spain)

Abstract

Currently, the knowledge of energy consumption in buildings of new and existing dwellings is essential to control and propose energy conservation measures. Most of the predictions of energy consumption in buildings are based on fixed values related to the internal thermal ambient and pre-established operation hypotheses, which do not reflect the dynamic use of buildings and users’ requirements. Spain is a clear example of such a situation. This study suggests the use of an adaptive thermal comfort model as a predictive method of energy consumption in the internal thermal ambient, as well as several operation hypotheses, and both conditions are combined in a simulation model: the Adaptive Comfort Control Implemented Model (ACCIM). The behavior of ACCIM is studied in a representative case of the residential building stock, which is located in three climate zones with different characteristics (warm, cold, and mild climates). The analyses were conducted both in current and future scenarios with the aim of knowing the advantages and limitations in each climate zone. The results show that the average consumption of the current, 2050, and 2080 scenarios decreased between 23% and 46% in warm climates, between 19% and 25% in mild climates, and between 10% and 29% in cold climates by using such a predictive method. It is also shown that this method is more resilient to climate change than the current standard. This research can be a starting point to understand users’ climate adaptation to predict energy consumption.

Suggested Citation

  • Daniel Sánchez-García & David Bienvenido-Huertas & Mónica Tristancho-Carvajal & Carlos Rubio-Bellido, 2019. "Adaptive Comfort Control Implemented Model (ACCIM) for Energy Consumption Predictions in Dwellings under Current and Future Climate Conditions: A Case Study Located in Spain," Energies, MDPI, vol. 12(8), pages 1-22, April.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:8:p:1498-:d:224575
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    References listed on IDEAS

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    1. Bienvenido-Huertas, David & Rubio-Bellido, Carlos & Solís-Guzmán, Jaime & Oliveira, Miguel José, 2020. "Experimental characterisation of the periodic thermal properties of walls using artificial intelligence," Energy, Elsevier, vol. 203(C).
    2. David Bienvenido-Huertas & Miguel Oliveira & Carlos Rubio-Bellido & David Marín, 2019. "A Comparative Analysis of the International Regulation of Thermal Properties in Building Envelope," Sustainability, MDPI, vol. 11(20), pages 1-30, October.
    3. Bienvenido-Huertas, David & Sánchez-García, Daniel & Rubio-Bellido, Carlos & Pulido-Arcas, Jesús A., 2021. "Applying the mixed-mode with an adaptive approach to reduce the energy poverty in social dwellings: The case of Spain," Energy, Elsevier, vol. 237(C).
    4. Pilar Mercader-Moyano & Manuel Ramos-Martín, 2020. "Comprehensive Sustainability Assessment of Regenerative Actions on the Thermal Envelope of Obsolete Buildings under Climate Change Perspective," Sustainability, MDPI, vol. 12(14), pages 1-40, July.
    5. Mª Desirée Alba-Rodríguez & Carlos Rubio-Bellido & Mónica Tristancho-Carvajal & Raúl Castaño-Rosa & Madelyn Marrero, 2021. "Present and Future Energy Poverty, a Holistic Approach: A Case Study in Seville, Spain," Sustainability, MDPI, vol. 13(14), pages 1-15, July.
    6. David Bienvenido-Huertas, 2020. "Analysis of the Impact of the Use Profile of HVAC Systems Established by the Spanish Standard to Assess Residential Building Energy Performance," Sustainability, MDPI, vol. 12(17), pages 1-19, September.

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