Critical materials are economically important raw materials with high supply risk. They are widely used in electronic components, batteries, sensors and drone-related systems. For Europe, access to these materials is a strategic issue because many of them are not sufficiently available within the European …

Traditional non-linear models offer Dutch municipalities limited insight into the social behaviour of local stakeholders, even though this behaviour largely determines the success of policies in complex sociotechnical systems. This study addresses the following research question: “How can an agent-based …

Awareness of climate change and stricter emission regulations have accelerated the search for sustainable energy solutions. A central goal is carbon-neutral energy use, minimizing greenhouse gas emissions while ensuring reliable energy supply. In applications with limited grid access—such as festivals, …

This research explored whether machine learning models could predict shifts in participants’ preferences and attitudes towards energy solutions based on behavioural and self-reported engagement data collected during visual educational interventions. Through four sub-questions, the study evaluated how …

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 …

Concrete is arguably the most widely used building material in the world today. Current estimates of world cement manufacture are of the order of 1.7*109 tons per year, enough to produce well over 6 km3 of concrete per year or at least 1 m3 per person (Gartner, 2004). It is a composite material made …

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 …

Dairy and other animal products play an important role in the diet of the majority of the population. However, there are a lot of sustainability concerns regarding dairy production due to high environmental impacts. Therefore, there is a need to develop a more sustainable dairy substitute. One of the …

This graduation project, led by the Smart Industry research group at Saxion together with the Ambient Intelligence research group (AmI), aims to create an energy analysis tool for the SERENE/SUSTENANCE projects in the Dutch sustainable communities of Vriendenerf and Aardehuis. The goal of the project …

In all sectors of the economy, whether in the governmental or private sector, one of the most crucial factors for success is the ability to maintain one’s assets most efficiently and effectively. Finding the best approach for the maintenance of an asset means that it will create the best value possible, …