Flexibility Characterisation from Thermal Inertia of Buildings at City Level: A Bottom-up Approach

Abstract

Demand response (DR) programs (such as peak shaving, load shifting, capacity management, etc.) are often viewed as a promising candidate to alleviate network congestion and delay assets investments. The natural thermal inertia of buildings and utilisation of energy-intensive thermostatic loads make them an ideal candidate for DR. The presented work first puts forward a bottom-up methodology to accurately model the temporal and spatial end-use energy consumption profiles (e.g. lighting, heating ventilation and air-conditioning (HVAC), and other appliances etc.) at a city level. This then serves as key information to systematically evaluate the flexibility potential from HVAC control of buildi..