Identifying stakeholders and key performance indicators for district and building performance analysis

Li, Yehong and García Castro, Raul and Vega Sánchez, Sergio and O'Donnell, James (2017). Identifying stakeholders and key performance indicators for district and building performance analysis. "Energy and Buildings", v. 155 ; pp. 1-15. ISSN 0378-7788. https://doi.org/10.1016/j.enbuild.2017.09.003.

Description

Title: Identifying stakeholders and key performance indicators for district and building performance analysis
Author/s:
  • Li, Yehong
  • García Castro, Raul
  • Vega Sánchez, Sergio
  • O'Donnell, James
Item Type: Article
Título de Revista/Publicación: Energy and Buildings
Date: November 2017
ISSN: 0378-7788
Volume: 155
Subjects:
Faculty: E.T.S. Arquitectura (UPM)
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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.

More information

Item ID: 48322
DC Identifier: http://oa.upm.es/48322/
OAI Identifier: oai:oa.upm.es:48322
DOI: 10.1016/j.enbuild.2017.09.003
Official URL: http://www.sciencedirect.com/science/article/pii/S0378778817304772
Deposited by: Memoria Investigacion
Deposited on: 06 Nov 2017 11:52
Last Modified: 31 May 2019 08:54
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