Michaël Kummert

TL;DR: In this paper, a comparison of the features and capabilities of twenty major building energy simulation programs is presented, based on information provided by the program developers in the following categories: general modeling features; zone loads; building envelope and daylighting and solar; infiltration, ventilation and multizone airflow; renewable energy systems; electrical systems and equipment; HVAC systems; HVC equipment; environmental emissions; economic evaluation; climate data availability, results reporting; validation; and user interface, links to other programs, and availability.

TL;DR: In this paper, the authors investigated the use of the downscaling method known as "morphing" to generate weather data files and assessed the impact of using these weather files on the energy performance of an actual NZEB.

TL;DR: In this article, the authors present the application of optimal control to auxiliary heating of a passive solar commercial building and demonstrate that it can lead to significant energy savings while maintaining or improving the comfort level in this type of building.

TL;DR: An artificial neural network (ANN)-based controller for hydronic heating plants of buildings that includes a meteorological module, forecasting the ambient temperature and solar irradiance, an indoor temperature predictor module, a supply temperature predictor Module and an optimizing module for the water supply temperature is presented.

TL;DR: In this article, the authors investigate the inaccuracies caused by using hourly rather than short-term (i.e., minute and 3 min) radiation data on the estimated performance of solar energy systems.