Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Identifying stakeholders and key performance indicators for district and building performance analysis
Year:2017
Research Areas
  • Civil engineering and architecture
Information
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.
International
Si
JCR
Si
Title
Energy and Buildings
ISBN
0378-7788
Impact factor JCR
4,067
Impact info
2016 Journal Citation Report
Volume
155
10.1016/j.enbuild.2017.09.003
Journal number
From page
1
To page
15
Month
NOVIEMBRE
Ranking
Participants
  • Autor: Yehong Li (UPM)
  • Autor: James O'Donnell (University College Dublin)
  • Autor: Raul Garcia Castro (UPM)
  • Autor: Sergio Vega Sanchez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Técnicas Innovadoras y Sostenibles en la Edificación
  • Departamento: Inteligencia Artificial
  • Departamento: Construcción y Tecnología Arquitectónicas
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)