Discovery - University of Dundee - Online Publications

Library & Learning Centre

Key performance indicators (KPIs) and priority setting in using the multi-attribute approach for assessing sustainable intelligent buildings

Standard

Key performance indicators (KPIs) and priority setting in using the multi-attribute approach for assessing sustainable intelligent buildings. / ALwaer, H.; Clements-Croome, D. J.

In: Building and Environment, Vol. 45, No. 4, 04.2010, p. 799-807.

Research output: Contribution to journalArticle

Harvard

ALwaer, H & Clements-Croome, DJ 2010, 'Key performance indicators (KPIs) and priority setting in using the multi-attribute approach for assessing sustainable intelligent buildings' Building and Environment, vol 45, no. 4, pp. 799-807., 10.1016/j.buildenv.2009.08.019

APA

ALwaer, H., & Clements-Croome, D. J. (2010). Key performance indicators (KPIs) and priority setting in using the multi-attribute approach for assessing sustainable intelligent buildings. Building and Environment, 45(4), 799-807. 10.1016/j.buildenv.2009.08.019

Vancouver

ALwaer H, Clements-Croome DJ. Key performance indicators (KPIs) and priority setting in using the multi-attribute approach for assessing sustainable intelligent buildings. Building and Environment. 2010 Apr;45(4):799-807. Available from: 10.1016/j.buildenv.2009.08.019

Author

ALwaer, H.; Clements-Croome, D. J. / Key performance indicators (KPIs) and priority setting in using the multi-attribute approach for assessing sustainable intelligent buildings.

In: Building and Environment, Vol. 45, No. 4, 04.2010, p. 799-807.

Research output: Contribution to journalArticle

Bibtex - Download

@article{6f263be6d6e3400c9920b0a0c3ea8e7b,
title = "Key performance indicators (KPIs) and priority setting in using the multi-attribute approach for assessing sustainable intelligent buildings",
keywords = "Key performance indicators (KPIs), Sustainable Intelligent Buildings, Sustainability Assessment, Priority Levels, Stakeholders, SuBETool, ENVIRONMENTAL ASSESSMENT METHODS, SELECTION, SYSTEMS, TRENDS",
author = "H. ALwaer and Clements-Croome, {D. J.}",
year = "2010",
doi = "10.1016/j.buildenv.2009.08.019",
volume = "45",
number = "4",
pages = "799--807",
journal = "Building and Environment",
issn = "0360-1323",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Key performance indicators (KPIs) and priority setting in using the multi-attribute approach for assessing sustainable intelligent buildings

A1 - ALwaer,H.

A1 - Clements-Croome,D. J.

AU - ALwaer,H.

AU - Clements-Croome,D. J.

PY - 2010/4

Y1 - 2010/4

N2 - <p>The main objectives of this paper are to: firstly, identify key issues related to sustainable intelligent buildings (environmental, social, economic and technological factors); develop a conceptual model for the selection of the appropriate KPIs; secondly, test critically stakeholder's perceptions and values of selected KPIs intelligent buildings; and thirdly develop a new model for measuring the level of sustainability for sustainable intelligent buildings. This paper uses a consensus-based model (Sustainable Built Environment Tool- SuBETool), which is analysed using the analytical hierarchical process (AHP) for multi-criteria decision-making. The use of the multi-attribute model for priority setting in the sustainability assessment of intelligent buildings is introduced. The paper commences by reviewing the literature on sustainable intelligent buildings research and presents a pilot-study investigating the problems of complexity and subjectivity. This study is based upon a survey perceptions held by selected stakeholders and the value they attribute to selected KPIs. It is argued that the benefit of the new proposed model (SuBETool) is a 'tood' for 'comparative' rather than an absolute measurement. It has the potential to provide useful lessons from current sustainability assessment methods for strategic future of sustainable intelligent buildings in order to improve a building's performance and to deliver objective outcomes. Findings of this survey enrich the field of intelligent buildings in two ways. Firstly, it gives a detailed insight into the selection of sustainable building indicators, as well as their degree of importance. Secondly, it tesst critically stakeholder's perceptions and values of selected KPIs intelligent buildings. It is concluded that the priority levels for selected criteria is largely dependent on the integrated design team, which includes the client, architects, engineers and facilities managers. (C) 2009 Elsevier Ltd. All rights reserved.</p>

AB - <p>The main objectives of this paper are to: firstly, identify key issues related to sustainable intelligent buildings (environmental, social, economic and technological factors); develop a conceptual model for the selection of the appropriate KPIs; secondly, test critically stakeholder's perceptions and values of selected KPIs intelligent buildings; and thirdly develop a new model for measuring the level of sustainability for sustainable intelligent buildings. This paper uses a consensus-based model (Sustainable Built Environment Tool- SuBETool), which is analysed using the analytical hierarchical process (AHP) for multi-criteria decision-making. The use of the multi-attribute model for priority setting in the sustainability assessment of intelligent buildings is introduced. The paper commences by reviewing the literature on sustainable intelligent buildings research and presents a pilot-study investigating the problems of complexity and subjectivity. This study is based upon a survey perceptions held by selected stakeholders and the value they attribute to selected KPIs. It is argued that the benefit of the new proposed model (SuBETool) is a 'tood' for 'comparative' rather than an absolute measurement. It has the potential to provide useful lessons from current sustainability assessment methods for strategic future of sustainable intelligent buildings in order to improve a building's performance and to deliver objective outcomes. Findings of this survey enrich the field of intelligent buildings in two ways. Firstly, it gives a detailed insight into the selection of sustainable building indicators, as well as their degree of importance. Secondly, it tesst critically stakeholder's perceptions and values of selected KPIs intelligent buildings. It is concluded that the priority levels for selected criteria is largely dependent on the integrated design team, which includes the client, architects, engineers and facilities managers. (C) 2009 Elsevier Ltd. All rights reserved.</p>

KW - Key performance indicators (KPIs)

KW - Sustainable Intelligent Buildings

KW - Sustainability Assessment

KW - Priority Levels

KW - Stakeholders

KW - SuBETool

KW - ENVIRONMENTAL ASSESSMENT METHODS

KW - SELECTION

KW - SYSTEMS

KW - TRENDS

U2 - 10.1016/j.buildenv.2009.08.019

DO - 10.1016/j.buildenv.2009.08.019

M1 - Article

JO - Building and Environment

JF - Building and Environment

SN - 0360-1323

IS - 4

VL - 45

SP - 799

EP - 807

ER -

Documents

Library & Learning Centre

Contact | Accessibility | Policy