This simulation-based study aimed to contribute to gaining knowledge on how much the deviation between occupant-related input by the national standard and by insitu measurements might impact predictions of heating/cooling needs in offices. Analysis was per ...
Nowadays, the energy efficiency of the existing building stock is internationally accepted as a topical issue. Energy retrofitting is encouraged, improving the thermal performances of buildings, but often altering the historical image of our cities. Attent ...
Nowadays, the integration of home automation systems with smart thermostats is a common trend, designed to enhance resident comfort and conserve energy. The introduction of smart thermostats that can run machine learning algorithms has opened the door for ...
We present the design and implementation of RECA, a novel human-centric recommender system for co-optimizing energy consumption, comfort and air quality in commercial buildings. Existing works generally optimize these objectives separately, or by only cont ...
High-speed turbomachinery is commonly designed to achieve high power densities. Limited space for active cooling results in a challenging thermal management. A thermal modeling approach leveraging modern declarative programming capabilities is presented, y ...
Assessing and optimizing human indoor comfort is challenging as physiological, psychological, and environmental variables influence it. Therefore, it is crucial to understand variability of human physiological parameters and underlying mechanisms. Metaboli ...
