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Agent Based Modelling to Improve Comfort and Save Energy in the Built Environment
In Europe comfort in buildings needs 40% of the total energy. With effects of Global warming becoming more and more apparent there is a need to reduce this energy demand by comfort within the built environment. In comfort control strategy there is an exciting development based on inclusive design: the user’s preferences and their behaviour have become central in the building services control strategy. Synergy between end-user and building is the ultimate in the intelligent comfort control concept. This new comfort control technology is based on the use of agent technology and can further reduce energy consumption of buildings while at the same time improve individual comfort. The TU/e (Technische Universiteit Eindhoven) together with Kropman and ECN (Energy research Centre Netherlands) work together in the research for user based preference indoor climate control technology. Central in this approach is the user focus of the whole building design process which makes it possible to reduce energy consumption by tuning demand and supply of the energy needed to fulfill the comfort demand of the occupants building.
- Technical University Eindhoven TU Eindhoven Research Portal Netherlands
- Energy Research Centre of the Netherlands Netherlands
- Technical University Eindhoven Netherlands
- Energy Research Centre of the Netherlands Netherlands
- Technical University Eindhoven Netherlands
SDG 13 – Klimaatactie, SDG 13 - Climate Action, SDG 7 - Affordable and Clean Energy, SDG 7 – Betaalbare en schone energie
SDG 13 – Klimaatactie, SDG 13 - Climate Action, SDG 7 - Affordable and Clean Energy, SDG 7 – Betaalbare en schone energie
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
