Abstract
The goal of this research effort is to identify an optimal set of energy efficiency measures and renewable and highly efficient energy systems for a large-scale building stock. To reach this goal, a simulation and optimization framework is developed which represents the overall heterogeneity of the building stock, and allows for the investigation the optimal set of building measures based on multi-criteria decision making such as costs, CO2emissions, energy consumption, etc. The developed methodology is applied on a set of archetypical buildings of the Swiss residential building stock to assess the effectiveness of different measures in reaching emission reduction targets. Subsequently the solutions are upscaled to the overall building stock to give recommendations for specific regions or countries and identify their potential impact.
Cite
CITATION STYLE
Murray, P., Niffeler, M., Mavromatidis, G., & Orehounig, K. (2019). Optimal retrofitting measures for residential buildings at large scale: A multi-objective approach. In Building Simulation Conference Proceedings (Vol. 6, pp. 3742–3748). International Building Performance Simulation Association. https://doi.org/10.26868/25222708.2019.211233
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