Introduction

Saleh Seyedzadeh; Farzad Pour Rahimian

doi:10.1007/978-3-030-64751-3_1

Introduction

Saleh Seyedzadeh, Farzad Pour Rahimian

School of Computing, Engineering & Digital Technologies

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

In the UK, buildings are responsible for 46% of all carbon dioxide (CO₂ ) emissions [20]. This figure is 40% in the USA and 27% in Australia [15]. Accordingly, the enhancement of energy efficiency of buildings has become an essential matter in order to reduce the amount of gas emission as well as fossil fuel consumption. An annual saving of 60 billion Euro is estimated as a result of the improvement of EU buildings energy performance by 20% [21].

Original language	English
Title of host publication	Data-Driven Modelling of Non-Domestic Buildings Energy Performance
Subtitle of host publication	Supporting Building Retrofit Planning
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	1-12
Number of pages	12
ISBN (Electronic)	9783030647513
DOIs	https://doi.org/10.1007/978-3-030-64751-3_1
Publication status	Published - 1 Feb 2021

Publication series

Name	Green Energy and Technology
ISSN (Print)	1865-3529
ISSN (Electronic)	1865-3537

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

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10.1007/978-3-030-64751-3_1

Cite this

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Introduction

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