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Improving the calibration of building simulation with interpolated weather datasets

Author

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  • Eguía Oller, Pablo
  • Alonso Rodríguez, José María
  • Saavedra González, Ángeles
  • Arce Fariña, Elena
  • Granada Álvarez, Enrique

Abstract

The building sector offers huge potential for energy savings, which helps to achieve environmental objectives and social benefits. A good approach to determine both the energy consumption of new buildings and the energetic refurbishment of existing buildings is through thermal simulation.

Suggested Citation

  • Eguía Oller, Pablo & Alonso Rodríguez, José María & Saavedra González, Ángeles & Arce Fariña, Elena & Granada Álvarez, Enrique, 2018. "Improving the calibration of building simulation with interpolated weather datasets," Renewable Energy, Elsevier, vol. 122(C), pages 608-618.
    • Handle: RePEc:eee:renene:v:122:y:2018:i:c:p:608-618
    DOI: 10.1016/j.renene.2018.01.100
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    References listed on IDEAS

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    1. Mustafaraj, Giorgio & Marini, Dashamir & Costa, Andrea & Keane, Marcus, 2014. "Model calibration for building energy efficiency simulation," Applied Energy, Elsevier, vol. 130(C), pages 72-85.
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    Citations

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    Cited by:

    1. Fu, Xueqian & Zhang, Xiurong, 2019. "Estimation of building energy consumption using weather information derived from photovoltaic power plants," Renewable Energy, Elsevier, vol. 130(C), pages 130-138.
    2. Joan Manuel Felix Benitez & Luis Alfonso del Portillo-Valdés & Rene Pérez & David Sosa, 2022. "Methodology to Determine Energy Efficiency Strategies in Buildings Sited in Tropical Climatic Zones; Case Study, Buildings of the Tertiary Sector in the Dominican Republic," Energies, MDPI, vol. 15(13), pages 1-31, June.
    3. Joan Manuel Felix Benitez & Luis Alfonso del Portillo-Valdés & Victor José del Campo Díaz & Koldobika Martin Escudero, 2020. "Simulation and Thermo-Energy Analysis of Building Types in the Dominican Republic to Evaluate and Introduce Energy Efficiency in the Envelope," Energies, MDPI, vol. 13(14), pages 1-14, July.
    4. David Bienvenido-Huertas & Carlos Rubio-Bellido & Juan Luis Pérez-Ordóñez & Fernando Martínez-Abella, 2019. "Estimating Adaptive Setpoint Temperatures Using Weather Stations," Energies, MDPI, vol. 12(7), pages 1-47, March.
    5. 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).
    6. Castaldo, Veronica Lucia & Pisello, Anna Laura & Piselli, Cristina & Fabiani, Claudia & Cotana, Franco & Santamouris, Mattheos, 2018. "How outdoor microclimate mitigation affects building thermal-energy performance: A new design-stage method for energy saving in residential near-zero energy settlements in Italy," Renewable Energy, Elsevier, vol. 127(C), pages 920-935.
    7. Carlos Morón & Jorge Pablo Diaz & Daniel Ferrández & Pablo Saiz, 2018. "Design, Development and Implementation of a Weather Station Prototype for Renewable Energy Systems," Energies, MDPI, vol. 11(9), pages 1-13, August.

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