Multi-objective optimisation and building retrofit planning

Saleh Seyedzadeh; Farzad Pour Rahimian

doi:10.1007/978-3-030-64751-3_3

Multi-objective optimisation and building retrofit planning

Saleh Seyedzadeh, Farzad Pour Rahimian

School of Computing, Engineering & Digital Technologies

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

Abstract

This chapter, first, reviews evaluation indices for the efficient retrofit plan to enhance building energy performance, second, provides the concept and mathematical demonstration of multi-objective optimisation (MOO) and finally presents the potential of using MOO for supporting the development of retrofitting strategies.

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	31-39
Number of pages	9
ISBN (Print)	9783030647513
DOIs	https://doi.org/10.1007/978-3-030-64751-3_3
Publication status	Published - 16 Jan 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.

Access to Document

10.1007/978-3-030-64751-3_3

Cite this

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Multi-objective optimisation and building retrofit planning. / Seyedzadeh, Saleh; Pour Rahimian, Farzad.
Data-Driven Modelling of Non-Domestic Buildings Energy Performance: Supporting Building Retrofit Planning. Springer Science and Business Media Deutschland GmbH, 2021. p. 31-39 (Green Energy and Technology).

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

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Multi-objective optimisation and building retrofit planning

Abstract

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