Author:

Abstract:

Microgrids have high potential in future energy supply and its efficiency. However, establishing microgrids within a building stock is a complex task as characteristic of buildings in terms of energy demand and supply systems need to match. For this purpose, the paper proposes an identification method for assistance in pre-planning that bases on a spatialized fuzzy logic in combination with metamodelling to represent key building characteristics. The method, which is intuitively applicable, identifies potential building groups for microgrids based on key factors window size, insulation and compactness as well as age of the heating system, emissions and spatial location. It is demonstrated by means of the data of a small Swiss building stock.