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 …

This thesis investigates the restoration and structural reinforcement of a historically protected 19th-century residential building on the island of Hydra, Greece. Undertaken within the strict constraints of Greek heritage law (ΦΕΚ 594Δ/1978), the project aims to enhance structural safety and environmental …

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 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. …

Dealing with and maintaining high-quality standards in the design and construction phases is challenging, especially for on-site construction. Issues like improper implementation of building components and poor communication can widen the gap between design specifications and actual conditions. To prevent …

Anomalies in Heating, Ventilation, and Air Conditioning (HVAC) systems of buildings can lead to performance degradation, energy inefficiencies, and occupant discomfort. Automated anomaly detection is essential to prevent these issues. Machine learning based anomaly detection techniques are effective …

The built environment requires energy-flexible buildings to reduce energy peak loads and to maximize the use of (decentralized) renewable energy sources. The challenge is to arrive at smart control strategies that respond to the increasing variations in both the energy demand as well as the variable …

This research investigates power optimization in Thread mesh wireless networks through an algorithmic approach, aiming to reduce overall power consumption while maintaining reliable network performance. Transmission power serves as a key parameter for achieving energy efficiency, and the study focuses …

Completeness of data is vital for the decision making and forecasting on Building Management Systems (BMS) as missing data can result in biased decision making down the line. This study creates a guideline for imputing the gaps in BMS datasets by comparing four methods: K Nearest Neighbour algorithm …

Monitoring the energy performance of very low and zero energy buildings is fundamental to evaluate the efforts made to transition into an energy neutral built environment. Post occupancy monitoring has been embedded into current practice, supported by the availability of smart meters and affordable sensor …