Abstract The residential sector has become the second-largest energy consumer since 1987 in UK. Approximately 24 million existing dwellings England made up over 32% of overall consumption 2020. A robust understanding buildings’ performance is therefore critical guiding proper home retrofit measures to accelerate towards meeting UK’s climate targets. substantial number predictions at a city scal...

This study analyzes the solar potential on roofs of residential buildings in the city of Hamburg as a function of the city's settlement genetic characteristics. Hamburg's solar cadaster is critically evaluated with regard to rooftops, building, and settlement types as well as building orientation. Based on building ground plans, building and settlement types are calculated using geometric and g...

Building density is an important issue in urban planning and land management. In the article, building coverage ratio (BCR) and floor area ratio (FAR) values extracted from high resolution satellite images were used to indicate buildings' stretching on the surface and growth along the third dimension within areas of interest in Shanghai City, P.R. China. The results show that the variation of F...

In this paper, energy conservation policies are evaluated by a model, which simulates city-level energy consumption in the residential sector whilst considering the diversity of household and building types. In this model, all households in the city are classified by household and building type into 460 categories. The energy consumption for each household category is simulated by the energy us...

Close to 40% of the primary energy consumption in the U.S. comes from commercial and residential buildings [1]. Therefore, reducing this energy consumption is very important, both economically, and environmentally (due to the amount of CO2 emitted in the process of generating the electricity). Predicting the energy consumption of buildings (energy modeling) is a key component in reducing the bu...

The recent ASHRAE project, “Updating the ASHRAE/ ACCA Residential Heating and Cooling Load Calculation Procedures and Data” (RP-1199), developed two new residential loads calculation procedures: residential heat balance (RHB), a detailed heat balance method that requires computer implementation, and residential load factor (RLF), a simplified procedure that is hand tractable and suitable for sp...

The database presented here was collected by Antoniucci and Marella to analyze the correlation between the housing price gradient and the immigrant population in Italy during 2016. It may also be useful in other statistical analyses, be they on the real estate market or in another branches of social science. The data sample relates to 112 Italian provincial capitals. It provides accurate inform...

GIS is an effective tool to accumulate various kinds of numerical maps and the attribute data relating to road traffic noise and to analyze the correlations between the data. In addition, combining prediction method of the road traffic noise with the benefits of GIS allows us to evaluate the noise field, from the past to the future, at areas facing roads concerned. Since propagation of road tra...

The BuildZoom & Urban Economics Lab index is a joint endeavor of BuildZoom and the Urban Economics Laboratory of the MIT Center for Real Estate. The set of indices leverages BuildZoom’s repository of building permit data to track residential permitting activity, and was developed jointly with Professor Albert Saiz of the Center for Real Estate at MIT. Separate indices track permitting for const...

Multi-service residential access networks allow residential customers to choose amongst a variety of service offerings, over a range of Core Networks and subject to user requirements such as QoS, mobility, cost and availability. These issues place requirements on authentication for network access, with a need for mutual authentication of the residential gateway (RG) to the local access point (L...