This data article relates to the research paper Energy consumption and efficiency technology measures in European non-residential buildings (D'Agostino et al., 2017) [1]. The reported data have been collected in the framework of the Green Building Programme that ran from 2006 to 2014. The project has encouraged the adoption of efficiency measures to boost energy savings in European non-resident...

The decarbonisation of residential heat through integration with the power system and deployment refurbishment policies is at core European energy policies. Yet, heat-electricity may be challenged, in practice, by large variability demand across weather years. Current approaches for simulation fail to provide insights about extent such many years benefits potentially brought nearly zero-energy ...

With increasing use and integration of renewable energies, power imbalance between supply and demand sides has become one of the most critical issues in developing smart grid. As the major power consumers at demand side, buildings can actually perform as distributed thermal storages to help relieving power imbalance of a grid. However, power demand alteration potentials of buildings and energy ...

Though distribution system operators have been adding more sensors to their networks, they still often lack an accurate real-time picture of the behavior of distributed energy resources such as demand responsive electric loads and residential solar generation. Such information could improve system reliability, economic efficiency, and environmental impact. Rather than installing additional, cos...

Material stocks are an important part of the social metabolism. Owing to long service lifetimes of stocks, they not only shape resource flows during construction, but also during use, maintenance, and at the end of their useful lifetime. This makes them an important topic for sustainable development. In this work, a model of stocks and flows for nonmetallic minerals in residential buildings, ro...

We present an automatic system to reconstruct 3D urban models for residential areas from aerial LiDAR scans. The key difference between downtown area modeling and residential area modeling is that the latter usually contains rich vegetation. Thus, we propose a robust classification algorithm that effectively classifies LiDAR points into trees, buildings, and ground. The classification algorithm...

Energy consumption in residential buildings is one of the major sources of greenhouse gas (GHG) emissions in the U.S. Most of the efforts to minimize these emissions contemplate on construction of new high performance green buildings rather than retrofitting the existing residential building stock, which has the greatest emission reduction potential. In this paper, rapidly increasing GHG emissi...

As a consequence of the ongoing growth in demand for houses in the Netherlands over recent decades, the fraction of the total surface used for residential purposes has expanded rapidly. The location patterns of new residential construction are the result of various forces: government intervention aiming at the preservation of open space via zoning, new-town, and `compact-city' policies, and mar...