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Part of the book series: SpringerBriefs in Energy ((BRIEFSENERGY))

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Abstract

Energy efficiency in the building sector accounts for around 30–40% of the total energy consumption of human activities as per diverse sources (Pérez-Lombard et al. 2008; UNEP 2012). In 2010, its absolute consumption was 23.7 PWh and the International Energy Agency indicates that it can reach 38.4 PWh in 2040 (IEA 2013), being responsible for 38% of the greenhouse gas emissions (UNEP 2012). Around the world, this sector currently represents 13% of the GDP and it is expected that it increases to 15% in 2020 (Global Construction Perspectives and Oxford Economics 2013). Its total budget sat at 8.2 trillion dollars in 2013 (IHS Economics 2013) and it is foreseen that this will grow to 15 trillion dollars in 2025. As such, those strategies that focused on energy efficiency, consumption and emission reduction are one of the main challenges of the construction sector. Thus, the need of predicting these factors has forced official entities, like the European Union since 2002 (European Commission 2002), to obligatorily establish the measuring of buildings’ energy efficiency.

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Correspondence to Carlos Rubio-Bellido .

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Rubio-Bellido, C., Pérez-Fargallo, A., Pulido-Arcas, J. (2018). Introduction. In: Energy Optimization and Prediction in Office Buildings. SpringerBriefs in Energy. Springer, Cham. https://doi.org/10.1007/978-3-319-90146-6_1

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  • DOI: https://doi.org/10.1007/978-3-319-90146-6_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-90145-9

  • Online ISBN: 978-3-319-90146-6

  • eBook Packages: EnergyEnergy (R0)

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