Open AccessRetrofitting, district heating and energy storage: neighborhood energy planning
Author(s) -
Diane von Gunten,
Jakob Rager,
Jérôme Henri Kämpf,
F. Kuchler,
Fabien Poumadère
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1343/1/012108
Subject(s) - retrofitting , scale (ratio) , energy (signal processing) , energy planning , architectural engineering , computer science , environmental science , energy engineering , energy storage , civil engineering , engineering , mathematics , geography , structural engineering , renewable energy , physics , power (physics) , statistics , cartography , electrical engineering , quantum mechanics
We compare simulated energy retrofitting of individual buildings with energy refurbishments optimized at the scale of the neighborhood. For the neighborhood case, buildings can also be connected together through a heat network. We use a detailed three-dimensional model to estimate heating needs (CitySim) and a mixed-integer linear optimizer to analyze different options for energy refurbishment, including various heating technologies. According to our simulations, planning at the neighborhood scale results in slightly lower costs (about -5%) and lower C0 2 emissions (about -60%) than planning energy refurbishment at the building scale, showing that integrated planning of energy refurbishment is beneficial from both environmental and economical points of view.