• DocumentCode
    3681040
  • Title

    Life Cycle Assessment of Building Energy in Big-Data Era: Theory and Framework

  • Author

    Yan Yuan;Zhonghua Jin

  • Author_Institution
    Sch. of Urban Design, Wuhan Univ., Wuhan, China
  • fYear
    2015
  • Firstpage
    601
  • Lastpage
    605
  • Abstract
    In the era of big data processing, the type and scale of human society data are increasing rapidly. Data processing gradually transformed from the traditional simple objects into a basic social resource. Along with the technology development of expansion and storage of massive complex data, manage building information has gradually become possible. For a long time, building life cycle assessment(BLCA) of energy consumption is an important issue in the field of sustainable development and green building. However, the BLCA is facing huge amounts of data processing, which makes the subject remained in theory. The emergence and development of big data technology and building information model (BIM) provide effective tool for building a full life cycle energy assessment. This paper summarized the features of building life cycle energy consumption(BLCEC) data, proposed the method of information exchange and integration management by BIM, and ultimately utilize cloud computing technology to achieve wide-area BLC energy data management. It provides a broader vision for future Big data application studies.
  • Keywords
    "Buildings","Energy consumption","Data models","Object oriented modeling","Solid modeling","Big data","Computational modeling"
  • Publisher
    ieee
  • Conference_Titel
    Network and Information Systems for Computers (ICNISC), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICNISC.2015.130
  • Filename
    7311961