Loughborough University
Browse

A survey of environmental performance enhancement strategies and building data capturing techniques in the Nigerian context

Download (3.04 MB)
journal contribution
posted on 2024-05-02, 12:46 authored by Osamudiamen Meek Omoragbon, Sura Al-MaiyahSura Al-Maiyah, Paul Coates

The need to improve the performance of Nigeria’s office buildings is due to, energy challenges, increasing population, changing user needs, and climate change. With the expansion of several Nigerian cities, existing buildings constitute a significant portion of the building stock, and improving their environmental performance could be more cost-effective than reconstruction. The use of simulation packages to assess alternative retrofitting enhancement scenarios is a straightforward approach. However, in Nigeria it is often challenging to get appropriate information to facilitate this type of evaluation; many buildings were not built to their original specifications, and when available, the records are often in a poor state due to deterioration. Studies that aimed at enhancing a building’s performance hardly stated the acquisition of the required building information. This paper investigates current practices and future possibilities of improvement measures and data capturing of existing buildings using a questionnaire survey of 133 building professionals in Benin City. The inter-relationship between energy efficiency, the environment, and building design with a high potential for meaningful retrofit to mitigate energy inefficiencies is known but not fully utilized. The collected thought on current practices signifies the need for developing a more economical and reliable methodology for data capturing and evaluation.

History

School

  • Architecture, Building and Civil Engineering

Published in

Buildings

Volume

13

Issue

2

Publisher

MDPI AG

Version

  • VoR (Version of Record)

Rights holder

© the Authors

Publisher statement

This article is an Open Access article published by MDPI and distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Acceptance date

2023-02-02

Publication date

2023-02-07

Copyright date

2023

ISSN

2075-5309

eISSN

2075-5309

Language

  • en

Depositor

Dr Sura Al-Maiyah. Deposit date: 29 April 2024

Article number

452

Usage metrics

    Loughborough Publications

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC