Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Linked data for district scale energy management: An indicator based method
Year:2017
Research Areas
  • Civil engineering and architecture
Information
Abstract
Energy management (EM) is an important part of sustainable facility management, and the need to manage energy, from an individual building to the district scale, is increasing. District-scale EM requires an exchange and analysis of the information provided by different stakeholders, as stakeholders? engagement is the premise by which to promote EM. However, district-scale EM is a complex, multi-domain issue that generates a massive amount of information. The main question is how to extract and exchange the key information for an energy performance analysis that addresses stakeholders? performance goals. In this paper, a key performance indicator (KPI)-based, linked data method is proposed for extracting and exchanging the key performance information among stakeholders and enabling multi-level energy performance analysis. KPIs are used to extract key information and, subsequently, linked data to exchange them. The method is comprised of tasks such as identifying stakeholders, selecting KPIs, collecting master data, generating linked data and improvement analysis. A case study is carried out to demonstrate the methodology. A total of six groups of key stakeholders and 23 KPIs are identified. An EM-KPI ontology is developed to describe the KPIs and the identified cross-domain master data. The result of the linked data analysis of three representative KPIs shows that the district has the potential to save at least 12.7% of its energy cost. The findings demonstrate the feasibility of the method and its benefits to find performance problems and key areas for improvement.
International
Si
Congress
EuroFM's 16th Research Symposium European Facility Management Conference
960
Place
Madrid
Reviewers
Si
ISBN/ISSN
9788750211129
Start Date
25/04/2017
End Date
28/04/2017
From page
32
To page
42
EuroFM and Centre for Facilities Management ? Realdania Research
Participants
  • Autor: Yehong Li (UPM)
  • Autor: Sergio Vega Sanchez (UPM)
  • Autor: Raul Garcia Castro (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • 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)