A PROBABILISTIC MODEL FOR ASSESSING ENERGY CONSUMPTION OF THE NON-DOMESTIC BUILDING STOCK

This paper presents a probabilistic framework for developing energy models of the built environment in a city and demonstrates its first-phase application to non-domestic buildings in Greater London. The work is driven by the need to quantify future energy demand of buildings in their urban context as a function of projected growth of buildings and populations, refurbishments, policies incentivizing energy efficiency measures, and changes in building operation. The focus on the non-domestic sector enables exploring a framework that accommodates diverse set of activities and uses of buildings within an urban region.