A STUDY ON A SITE IDENTIFICATION METHOD FOR DISTRICT ENERGY SYSTEMS

Recent increases in climate-related disasters have reinforced the need for regional energy systems that ensure both efficiency in normal times and self-sufficiency during emergencies. The implementation of such systems requires districts with sufficient heat demand density and building scale. This study proposes a method to identify potential areas for DHC in Tokyo using spatial clustering based on building location and floor area, independent of administrative boundaries. The method applies to both dense urban centers and medium- to low-density suburban areas. The proposed framework supports the formation of Business Continuity Districts that enhance both energy efficiency and disaster resilience.