Conference Editor
Jianshun Zhang; Edward Bogucz; Cliff Davidson; Elizabeth Krietmeyer
Keywords:
Urban energy, energy system optimization, retrofitting of buildings, energy hub.
Location
Syracuse, NY
Event Website
http://ibpc2018.org/
Start Date
25-9-2018 10:30 AM
End Date
25-9-2018 12:00 PM
Description
This paper presents a workflow to support the decision making for building retrofit and building systems update at urban scale. The workflow includes i) a method to extract information from a geographical information system including information on building characteristics, building systems and building typology, ii) a method to evaluate the current and future energy demand of buildings using a dynamic building simulation tool, and iii) an updated version of the energy hub approach to evaluate best performing options in terms of energy systems update. The developed method is applied to the city of Zurich to evaluate the optimal energy system update for all existing buildings within the city. Modelling results include best performing options in terms of CO2 emissions, renewable energy share, or energy efficiency while minimizing resulting costs for possible system and retrofitting solutions.
Recommended Citation
Orehounig, Kristina; Thrampoulidis, Emmanouil; Mavromatidis, Georgios; and Carmeliet, Jan, "A GIS based methodology to support multi-criteria decision making for the retrofitting process of residential buildings" (2018). International Building Physics Conference 2018. 1.
DOI
https://doi.org/10.14305/ibpc.2018.ms-4.01
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
A GIS based methodology to support multi-criteria decision making for the retrofitting process of residential buildings
Syracuse, NY
This paper presents a workflow to support the decision making for building retrofit and building systems update at urban scale. The workflow includes i) a method to extract information from a geographical information system including information on building characteristics, building systems and building typology, ii) a method to evaluate the current and future energy demand of buildings using a dynamic building simulation tool, and iii) an updated version of the energy hub approach to evaluate best performing options in terms of energy systems update. The developed method is applied to the city of Zurich to evaluate the optimal energy system update for all existing buildings within the city. Modelling results include best performing options in terms of CO2 emissions, renewable energy share, or energy efficiency while minimizing resulting costs for possible system and retrofitting solutions.
https://surface.syr.edu/ibpc/2018/MS4/1
Comments
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