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Analysis of the Impact of Different Variables on the Energy Demand in Office Buildings

Author

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  • José Luis Fuentes-Bargues

    (GIDDP, Departamento de Proyectos de Ingeniería, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain)

  • José-Luis Vivancos

    (GIDDP, Departamento de Proyectos de Ingeniería, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain)

  • Pablo Ferrer-Gisbert

    (GIDDP, Departamento de Proyectos de Ingeniería, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain)

  • Miguel Ángel Gimeno-Guillem

    (School of Industrial Engineering, Universitat Politècnica de València, 46022 València, Spain)

Abstract

The design of near zero energy offices is a priority, which involves looking to achieve designs which minimise energy consumption and balance energy requirements with an increase in the installation and consumption of renewable energy. In light of this, some authors have used computer software to achieve simulations of the energy behaviour of buildings. Other studies based on regulatory systems which classify and label energy use also generally make their assessments through the use of software. In Spain, there is an authorised procedure for certifying the energy performance of buildings, and software (LIDER-CALENER unified tool) which is used to demonstrate compliance of the performance of buildings both from the point of view of energy demand and energy consumption. The aim of this study is to analyse the energy behaviour of an office building and the variability of the same using the software in terms of the following variables: climate zone, building orientation and certain surrounding wall types and encasements typical of this type of construction.

Suggested Citation

  • José Luis Fuentes-Bargues & José-Luis Vivancos & Pablo Ferrer-Gisbert & Miguel Ángel Gimeno-Guillem, 2020. "Analysis of the Impact of Different Variables on the Energy Demand in Office Buildings," Sustainability, MDPI, vol. 12(13), pages 1-23, July.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:13:p:5347-:d:379229
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    References listed on IDEAS

    as
    1. Jerzy Mikulik, 2018. "Energy Demand Patterns in an Office Building: A Case Study in Kraków (Southern Poland)," Sustainability, MDPI, vol. 10(8), pages 1-16, August.
    2. José Sánchez Ramos & MCarmen Guerrero Delgado & Servando Álvarez Domínguez & José Luis Molina Félix & Francisco José Sánchez de la Flor & José Antonio Tenorio Ríos, 2019. "Systematic Simplified Simulation Methodology for Deep Energy Retrofitting Towards Nze Targets Using Life Cycle Energy Assessment," Energies, MDPI, vol. 12(16), pages 1-27, August.
    3. Pérez-Andreu, Víctor & Aparicio-Fernández, Carolina & Martínez-Ibernón, Ana & Vivancos, José-Luis, 2018. "Impact of climate change on heating and cooling energy demand in a residential building in a Mediterranean climate," Energy, Elsevier, vol. 165(PA), pages 63-74.
    4. Ihara, Takeshi & Gao, Tao & Grynning, Steinar & Jelle, Bjørn Petter & Gustavsen, Arild, 2015. "Aerogel granulate glazing facades and their application potential from an energy saving perspective," Applied Energy, Elsevier, vol. 142(C), pages 179-191.
    5. Huang, Yu & Niu, Jian-lei & Chung, Tse-ming, 2014. "Comprehensive analysis on thermal and daylighting performance of glazing and shading designs on office building envelope in cooling-dominant climates," Applied Energy, Elsevier, vol. 134(C), pages 215-228.
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    Cited by:

    1. Raniero Sannino, 2023. "Thermal Loads Map and Overall Energy Analysis Depending on Low-Effort Parameters Change: A Commercial Building Case Study," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    2. Seongjo Wang & Sungho Tae & Hyeongjae Jang, 2021. "Prediction of the Energy Self-Sufficiency Rate of Major New Renewable Energy Types Based on Zero-Energy Building Certification Cases in South Korea," Sustainability, MDPI, vol. 13(20), pages 1-15, October.

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