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@INPROCEEDINGS{Stock:1020280,
      author       = {Stock, Jan and Althaus, Philipp and Johnen, Sascha and
                      Xhonneux, André and Müller, Dirk},
      title        = {{M}ethod development for lowering supply temperatures in
                      existing buildingsusing minimal building information and
                      demand measurement data; 18th},
      reportid     = {FZJ-2024-00036},
      pages        = {486 - 493},
      year         = {2023},
      abstract     = {Regarding climate change, the need to reduce greenhouse gas
                      emissions is well-known. As building heating contributes to
                      a high share of total energy consumption, which relies
                      mainly on fossil energy sources, improving heating
                      efficiency is promising to consider. Lowering supply
                      temperatures of the heating systems in buildings offers a
                      huge potential for efficiency improvements since different
                      heat supply technologies, such as heat pumps or district
                      heating, benefit from low supply temperatures. However, most
                      estimations of possible temperature reductions in existing
                      buildings are based on available measurement data on room
                      level or detailed building information about the building's
                      physics to develop simulation models. To reveal the
                      potential of temperature reduction for several buildings and
                      strive for a wide applicability, the presented method
                      focuses on estimations for temperature reduction in existing
                      buildings with limited input data. By evaluating historic
                      heat demand data on the building level, outdoor temperatures
                      and information about installed heaters, the minimal actual
                      necessary supply temperature is calculated for each heater
                      in the building using the LMTD approach. Based on the
                      calculated required supply temperatures for each room at
                      different outdoor temperatures, the overall necessary supply
                      temperatures to be provided to the building are chosen.
                      Thus, the minimal heatcurve possible for an existing
                      building is deduced.The method described is applied to
                      multiple existing office buildings at the campus of
                      Forschungszentrum Jülich, Germany, demonstrating the fast
                      application for several buildings with limited expenditure.
                      Furthermore, a developed adapted heatcurve is implemented in
                      one real building and evaluated in relation to the
                      previously applied heatcurve of the heating system.},
      month         = {Sep},
      date          = {2023-09-04},
      organization  = {18th Conference of International
                       Building Performance Simulation
                       Assocation (IBPSA), Shanghai (China), 4
                       Sep 2023 - 6 Sep 2023},
      cin          = {IEK-10},
      cid          = {I:(DE-Juel1)IEK-10-20170217},
      pnm          = {1123 - Smart Areas and Research Platforms (POF4-112) /
                      EnOB: LLEC: Living Lab Energy Campus (03ET1551A) / LLEC -
                      Living Lab Energy Campus (LLEC-2018-2023)},
      pid          = {G:(DE-HGF)POF4-1123 / G:(BMWi)03ET1551A /
                      G:(DE-HGF)LLEC-2018-2023},
      typ          = {PUB:(DE-HGF)8},
      doi          = {10.26868/25222708.2023.1196},
      url          = {https://juser.fz-juelich.de/record/1020280},
}