Recently, the integration of renewables such as photovoltaic panels, solar water heaters, ground-source heat pumps, and fuel cells into buildings is increasing.The increase of building-integrated renewables affects the energy mix, energy flows from the grid, CO2 emission, and energy system cost in cities.The urban-scale effects of increased building-integrated renewables have been investigated on a representative district (a Dong) in Seoul. Unlike the previous studies which did not consider non-solar renewables and the energy system configurations different for each building, this research considers the optimal building energy system (including ground-source heat pumps and fuel cells) for every building obtained by Linear Programming. Hourly electricity, cooling, and heating loads of each building have been estimated using the database of monthly electricity and gas usages in every building. The total capacity and energy supply of each renewable energy source, the renewable energy mix in residential and non-residential sectors, and variations in the electricity and gas flows from the grid to the district have been analyzed in detail.To carry out the investigation on a large city, the problem of long calculation time caused by a large number of buildings should be overcome. For example, the investigation on Seoul (over 10 5 buildings) may take more than two months. This research proposes a new framework for fast and accurate estimation of the total capacities and energy supply of the renewable energy sources and the variations in the energy flows from the grid in a large city (e.g. less than 2 days for Seoul). To reduce the number of optimizations, buildings with same building type, similar monthly electricity and gas usages, and similar roof area are categorized as a cluster, then a virtual representative building is generated for each cluster. Results from the optimizations for the representative buildings are linearly scaled considering the number of buildings and the total energy usage of each cluster. Consistency between the results from the proposed framework and the results from the optimization for every actual building has been validated by a case study on an aggregation of multiple districts (a Gu).Using the proposed framework, the collective effects of building-integrated renewables on a large city (Seoul) has been investigated for the first time. Two applications of the framework have been demonstrated− 1) the expected results of a future scenario of an obligation for building-integrated renewables; and 2) the variations in a total reduction in CO2 emission and the cost of a unit reduction in CO2 for varying renewable energy requirements for buildings. The framework developed by this research can be used as a reliable tool for quantitative policy design related to dissemination of building-integrated renewables.