Research and Experimentation
Published 2018-03-05
Keywords
- Energy in cities,
- City energy demand,
- Simulation tools,
- Energy networks
How to Cite
Condotta, M., & Borga, G. (2018). Urban energy performance monitoring for Smart City decision support environments. TECHNE - Journal of Technology for Architecture and Environment, (1), 73–80. https://doi.org/10.13128/Techne-22688
Abstract
In this essay we wish to present an interdisciplinary study carried out in the framework of two Interreg Italy-Austria projects which were intended to design methodologies, simulation tools and decision support instruments to face energy challenges within the overall Smart City concept. The proposed strategy uses a physical model (“City Model”) and an energy behavior model (“City Sensing”) of the urban environment. They were developed using two different approaches: the first is mainly based on analysis of surveys data and the second one on simulations and processing of large-scale datasets. “City Model” and “City Sensing” were then merged to provide an Urban Building Energy Model - that we called “City Energy Model” - integrated with a Participatory Public GIS platform.
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