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  5. Identifying stakeholders and key performance indicators for district and building energy performance analysis
 
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Identifying stakeholders and key performance indicators for district and building energy performance analysis

Author(s)
Li, Yehong  
O'Donnell, James  
García-Castro, Raúl  
Vega-Sánchez, Sergio  
Uri
http://hdl.handle.net/10197/11004
Date Issued
2017-11
Date Available
2019-08-20T10:25:27Z
Abstract
Integrated energy management at both the district and building scales can potentially improve multi-level energy efficiency, but such a solution requires the exchange and analysis of energy performance information from different stakeholders. With the complexities of energy management, there are numerous potential stakeholders and a considerable amount of information to consider. Therefore, a primary challenge is the development of a method that identifies the key stakeholders and extracts key information that supports their performance goals. In this paper, a systematic approach to identify stakeholders and key performance indicators (KPIs) is proposed to draw key information for multi-level energy performance analysis. Firstly, a three-task method for the identification and prioritization of stakeholders is suggested; secondly, a bi-index method to select the KPIs that underpin the stakeholders’ performance goals is defined; finally, the proposed methodology is validated using a case study. The result demonstrates the feasibility of the methodology and illustrates that the selected KPIs contribute to the attainment of key information required to carry out a multi-level energy performance analysis.
Sponsorship
Science Foundation Ireland
Other Sponsorship
China Scholarship Council
Type of Material
Journal Article
Publisher
Elsevier BV
Journal
Energy and Buildings
Volume
155
Start Page
1
End Page
15
Copyright (Published Version)
2017 Elsevier
Subjects

Energy management

District

Building

Stakeholder

Key performance indic...

DOI
10.1016/j.enbuild.2017.09.003
Language
English
Status of Item
Peer reviewed
ISSN
0378-7788
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
No Thumbnail Available
Name

2017_Li-KPIs_ForDistribution copy.pdf

Size

1.78 MB

Format

Adobe PDF

Checksum (MD5)

06cd130d97ce94847925cbba79875733

Owning collection
Mechanical & Materials Engineering Research Collection
Mapped collections
Energy Institute Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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