Zoekresultaten

Documentation of assumptions and system vulnerability monitoring

P&ID-based automated fault identification for energy performance diagnosis in HVAC systems:

Current methods for energy diagnosis in heating, ventilation and air conditioning (HVAC) systems are not consistent with process and instrumentation diagrams (P&IDs) as used by engineers to design and operate these systems, leading to very limited application of energy performance diagnosis in practice. In a previous paper, a generic reference architecture – hereafter referred to as the 4S3F (four symptoms and three faults) framework – was developed. Because it is closely related to the way HVAC experts diagnose problems in HVAC installations, 4S3F largely overcomes the problem of limited application. The present article addresses the fault diagnosis process using automated fault identification (AFI) based on symptoms detected with a diagnostic Bayesian network (DBN). It demonstrates that possible faults can be extracted from P&IDs at different levels and that P&IDs form the basis for setting up effective DBNs. The process was applied to real sensor data for a whole year. In a case study for a thermal energy plant, control faults were successfully isolated using balance, energy performance and operational state symptoms. Correction of the isolated faults led to annual primary energy savings of 25%. An analysis showed that the values of set probabilities in the DBN model are not outcome-sensitive. Link to the formal publication via its DOI https://doi.org/10.1016/j.enbuild.2020.110289

Comparing cost-optimized energy systems with different heat storages

Behavior Change Support Systems

Behaviour Change Support Systems (BCSS), already running for the 10th time at Persuasive Technology, is a workshop that builds around the concept of systems that are specifically designed to help and support behaviour change in individuals or groups. The highly multi-disciplinary nature of designing and implementing behaviour change strategies and systems for the strategies has been in the forefront of this workshop from the very beginning. The persuasive technology field is becoming a linking pin connecting natural and social sciences, requiring a holistic view on persuasive technologies, as well as multi-disciplinary approach for design, implementation, and evaluation. So far, the capacities of technologies to change behaviours and to continuously monitor the progress and effects of interventions are not being used to its full potential. The use of technologies as persuaders may shed a new light on the interaction process of persuasion, influencing attitudes and behaviours. Yet, although human- computer interaction is social in nature and people often do see computers as social actors, it is still unknown how these interactions re-shape attitude, beliefs, and emotions, or how they change behaviour, and what the drawbacks are for persuasion via technologies. Humans re-shape technology, changing their goals during usage. This means that persuasion is not a static ad hoc event but an ongoing process. Technology has the capacity to create smart (virtual) persuasive environments that provide simultaneously multimodal cues and psycho-physiological feedback for personal change by strengthening emotional, social, and physical presence. An array of persuasive applications has been developed over the past decade with an aim to induce desirable behaviour change. Persuasive applications have shown promising results in motivating and supporting people to change or adopt new behaviours and attitudes in various domains such as health and wellbeing, sustainable energy, education, and marketing. This workshop aims at connecting multidisciplinary researchers, practitioners and experts from a variety of scientific domains, such as information sciences, human-computer interaction, industrial design, psychology and medicine. This interactive workshop will act as a forum where experts from multiple disciplines can present their work, and can discuss and debate the pillars for persuasive technology.

Urban innovation systems

Why are some regions and cities so good at attracting talented people, creating high-level knowledge, and producing exciting new ideas and innovations? What are the ingredients of success? Can innovative cities be created and stimulated, or do they just flourish by mere chance? This book analyses the development and management of innovation systems in cities, in order to provide a better understanding of what makes such systems perform. The book opens by developing a conceptual model that combines insights from urban economics with economic geography, urban governance and place marketing. This highlights the relevance of path dependence, different types of proximity (and the role of clusters, networks and platforms), institutional conditions, place attractiveness and place identity in the evolution of local innovation systems. The authors then draw on this conceptual framework to structure empirical case studies in three cities with a relatively high innovation performance: Eindhoven (the Netherlands), Stockholm (Sweden) and Suzhou (China). Through these case studies they provide a detailed analysis of how successful innovation systems evolve and what makes them tick.

Modeling decentralized energy systems

During the opening of the Hanze Energy Transition Centre or EnTranCe posters were on display for the King and for the public. These posters where accompanied by the researchers to explain their research in more detail if questions did arise.