Providing Energy Efficiency Location-Based Strategies for Buildings Using Linked Open Data

Ana Sanchis Huertas, Miguel de Castro Neto (Advisor), Albert Remke (Advisor), Rafael Berlanga-Llavori (Advisor)

Research output: ThesisMaster's Thesis

Abstract

Climate change is a main concern for humanity from the ending of 20th century. To improve and take care of our environment, a set of measures has been developed to monitor, manage, reduce consumption and raise efficiency of buildings, including the integration of renewable energies and the implementation of passive measures like the improvement of the building envelope. Complex methodologies are used in order to achieve these objectives. Using different tools and data translating is needed, and the loss of accuracy from the detailed input information is most of the times unavoidable. Moreover, including these measures in the development of a project have become a try and error process involving building characteristics, location data and energy efficiency measures. The raising of new technologies, capable of dealing with location-based data and semantics to relate and structure information in a machine readable way, may allow us to provide a set of technical measures to improve energy efficiency in an accessible, open, understandable and easy way from a few data about location and building characteristics. This work tries to define a model and its necessary and sufficient set of data. Its application will provide customized strategies acting as pre-feasibility constraints to help buildings achieve their energy efficiency objectives from its very conception. The model intends to be useful for non-expert users who want to know about their energy savings possibilities, and for professionals willing to get a sustainable starting point for their projects.
Original languageEnglish
QualificationMaster of Science
Awarding Institution
  • NOVA Information Management School (NOVA IMS)
Supervisors/Advisors
  • Neto, Miguel de Castro, Supervisor
  • Berlanga, Rafael, Supervisor, External person
  • Remke, Albert, Supervisor, External person
Award date1 Mar 2009
Publication statusPublished - 1 Mar 2009

Keywords

  • Building Systems
  • Climate Change
  • Energy Efficiency
  • Energy Performance
  • Environmental Constraints
  • Decision Support Systems
  • Geospatial Technologies
  • Geographical Information Systems
  • Semantic Web
  • Linked Open Data

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