Within the Cool Neighbourhoods project, heat stress is assessed using the Physiological Equivalent Temperature (PET), a thermal comfort indicator that combines meteorological conditions with spatial and environmental variables. PET-based heat stress maps provide insight into spatial differences in thermal …

We introduce NeedForHeat DataGear: an open hardware and open software data collection system designed to accelerate the residential heating transition. NeedForHeat DataGear collects time series monitoring data in homes that have not yet undergone a heating transition, enabling assessment of real-life …

Urbanisation and climate change intensify urban heat stress, threatening public health, urban liveability, and equity (IPCC, 2022; Ebi et al., 2021; Böcker & Thorsson, 2014). Vulnerable populations—such as those with limited mobility, low incomes, or health conditions increasing heat stress susceptibility—bear …

This deliverable is one of the results of the project Research on Energy Data Utilization for Carbon Emission Decline by Heat pumps and Efficiency, while Assuring Thermal Comfort Achievement in Residential Buildings (REDUCEDHEATCARB). This deliverable describes the REDUCEDHEATCARB model, a model used …

This deliverable is one of the results of the project Research on Energy Data Utilization for Carbon Emission Decline by Heat pumps and Efficiency, while Assuring Thermal Comfort Achievement in Residential Buildings (REDUCEDHEATCARB). This deliverable documents the real-world validation of the REDUCEDHEATCARB …

This deliverable is one of the results of the project Research on Energy Data Utilization for Carbon Emission Decline by Heat pumps and Efficiency, while Assuring Thermal Comfort Achievement in Residential Buildings (REDUCEDHEATCARB). This deliverable lists and links to the open source and open hardware …

This paper presents a case study where a model predictive control (MPC) logic is developed for energy flexible operation of a space heating system in an educational building. A Long Short-Term Memory Neural Network (LSTM) surrogate model is trained on the output of an EnergyPlus building simulation model. …

Abstract. Although the U-value of glazing has improved significantly in the last decades, the thermal transmittance of windows remains relatively high compared to opaque elements of the thermal shell. Consequently, glazing has a relatively low interior surface temperature in the heating season, which …