%Aigaion2 BibTeX export from Idiap Publications
%Friday 05 December 2025 08:08:13 AM

@INPROCEEDINGS{vonGunten_CISBAT2019_2019,
                      author = {von Gunten, Diane and Rager, Jakob and K{\"{a}}mpf, J{\'{e}}r{\^{o}}me and Kuchler, Fabien and Poumad{\`{e}}re, Fabien},
                    projects = {Idiap},
                       month = nov,
                       title = {Retrofitting, district heating and energy storage: neighborhood energy planning},
                   booktitle = {Journal of Physics: Conference Series},
                      volume = {1343},
                        year = {2019},
                   publisher = {IOP Publishing Ltd},
                         doi = {10.1088/1742-6596/1343/1/012108},
                    abstract = {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 C02 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.}
}