Energy Building Stock Simulation and Planning for Small Municipalities A Web-based Urban Energy System Model for Potential Analysis and Citizen Participation

City planning for sustainable energy and development goals in small municipalities suffers from unresolved complexities, insufficient data and prohibitive cost. We propose a low-cost urban energy system for building stock assessment and urban energy planning by combining archetype-based dynamic energy demand and coverage simulation with incentive-based citizen participation as a means to improve data quality. Combining a white-box based physical approach with multi-dimensional archetypes for individual building energy demand and supply estimation with statistical top-down validation and calibration, we obtain an energy simulation method that requires less data on the building stock than other typical methods.