A multi-domain data collection strategy for capturing relationships between occupant behaviour, comfort, indoor environment, and energy use in office

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Radiant floor heating is widely recognized for its low-energy consumption and high efficiency. Traditional systems, however, typically heat the entire floor area within a space, conditioning spaces uniformly regardless of occupancy. This study investigates ...

Existing daylight standards encourage larger glazed areas, which often results in larger solar gains in the summer and heat losses in the winter. To avoid these, shadings, thicker frames and multiple panes of glass are required to respect operational energ ...

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 ...

Due to the large waste of heat in the power and industrial sectors, our use of energy is inefficient. Moreover, it relies on rapidly depleting and greenhouse-gas-emitting sources such as fossil fuels. While the scarcity of energy resources is a relevant so ...

Maximizing solar energy production in Switzerland is key to meet energy transition goals. Understanding in detail the current situation, and the potential for expansion is important to develop effective strategies. With this study, we want to contribute to ...

Implementation of CBAM to support EU climate neutrality by 2050 has raised several concerns. As the mechanism aims to minimise leakage through equal fairness in global mitigation, imposing carbon tariffs on the EU's imports of energy- intensive goods could ...

Objective The study was undertaken to show the magnitude of interindividual differences in energy expenditure (i.e., heat production) under normal living conditions with the aim of providing physiological evidence to support the advancement of a personaliz ...

A major challenge in the common approach of hot water generation in residential houses lies in the highly stochastic nature of domestic hot water (DHW) demand. Learning hot water use behavior enables water heating systems to continuously adapt to the stoch ...

Recognized as a powerful methodology for the evaluation of environmental burdens, life cycle assessment (LCA) must be performed with close-to-reality inputs to be robust and accurate. However, the necessary real-world data is hardly available at the design ...

The current climate change is calling for a drastic reduction of energy demand as well as of greenhouse gases. Besides this, cities also need to adapt to face the challenges related to climate change. Cities, with their complex urban texture and fabric, ca ...

The integration of renewable energy in the built environment, improving the energy efficiency of buildings, and optimizing distributed energy systems are three interconnected activities that are central for the transition to sustainable cities. Here, a met ...

This study evaluates the potential of supervised and transfer learning techniques to assist energy system optimization. A surrogate model is developed with the support of a supervised learning technique (by using artificial neural network) in order to bypa ...

Standard algorithm of building’s energy strategy often use electricity and its tariff as the sole criterion of choice. This paper introduced an algorithmic regulation using global warming potential (GWP) of energy flux, to select which installation will sa ...

A multi-domain data collection strategy for capturing relationships between occupant behaviour, comfort, indoor environment, and energy use in office

Chattez avec Graph Search

Modular Radiant Floor Heating and its Effect on Local Thermal Comfort

Daylight and carbon interactions: An explorative method to reconcile daylight performance and carbon budget constraints

Impact of Standard versus Tracked-based User Behavior into Energy Simulations of Open-Space Offices

Selection and Optimal Use of Nanoporous Materials for Adsorption Energy Technologies

What is the net PV energy production in Switzerland and how can we maximize it?

Making the EU Carbon Border Adjustment Mechanism Acceptable and Climate Friendly for Least Developed Countries

Interindividual variability of human thermoregulation: Toward personalized ergonomics of the indoor thermal environment

Adaptive hot water production based on Supervised Learning

Assessing the gap between a normative and a reality-based model of building LCA

A review of assessment methods for the urban environment and its energy sustainability to guarantee climate adaptation of future cities

Integrating urban form and distributed energy systems: Assessment of sustainable development scenarios for a Swiss village to 2050

Machine learning methods to assist energy system optimization

Development and validation of an intelligent algorithm for synchronizing a low-environmental-impact electricity supply with a building’s electricity consumption