• DocumentCode
    1916774
  • Title

    Heat demand modeling at the scale of urban neighborhoods

  • Author

    Koch, Andreas

  • Author_Institution
    Eur. Inst. for Energy Res., Karlsruhe, Germany
  • fYear
    2010
  • fDate
    11-13 Nov. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In order to provide guidance in the planning process of energy efficient urban redevelopment projects and describe energy management strategies for existing neighborhoods the overall objective of the presented approach is to develop a methodology describing the energy balance of urban neighborhoods building on an integrated assessment of energy efficiency measures and efficient supply systems. A necessary prerequisite is a high temporal resolution allowing for the development of advanced energy management strategies as well as for the investigation of expected potentials for coupling different low temperature processes in mixed use areas. As part of the energy balance this paper presents a grey-box approach for the description of the thermal energy demand in a coherent urban area. It is argued that urban neighborhoods represent an intermediate scale in their own right requiring a combination of forward and data driven models. First results from the combination of the two components are discussed indicating a general consistency of the two strategies.
  • Keywords
    demand side management; energy management systems; grey systems; planning; process planning; energy efficient urban redevelopment projects; energy management strategies; grey-box approach; heat demand modeling; planning process; thermal energy demand; urban neighborhoods; Biological system modeling; Buildings; Data models; Energy efficiency; Load modeling; Mathematical model; Temperature measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Infrastructure Systems and Services: Next Generation Infrastructure Systems for Eco-Cities (INFRA), 2010 Third International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-8477-5
  • Type

    conf

  • DOI
    10.1109/INFRA.2010.5679229
  • Filename
    5679229