Buildings need to be carefully operated and maintained for optimum health, comfort, energy performance, and utility costs. The increasing use of Machine Learning combined with Big Data in the building services sector has shown the potential to bring energy efficiency and cost-effectiveness. Therefore, …

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. …

Current symptom detection methods for energy diagnosis in heating, ventilation and air conditioning (HVAC) systems are not standardised and not consistent with HVAC process and instrumentation diagrams (P&IDs) as used by engineers to design and operate these systems, leading to a very limited application …

In this article a generic fault detection and diagnosis (FDD) method for demand controlled ventilation (DCV) systems is presented. By automated fault detection both indoor air quality (IAQ) and energy performance are strongly increased. This method is derived from a reference architecture based on a …

De wereldwijde energievraag is enorm en blijft stijgen, maar fossiele energiebronnen, waarvan wij nog voor meer dan 80% afhankelijk zijn raken op, voorzieningszekerheid en onafhankelijkheid worden steeds moeilijker te garanderen, en de milieugevolgen van conventionele energieconversiesystemen zijn niet …

Ongeveer een derde van onze nationale energieconsumptie wordt gebruikt in gebouwen voor verwarming, koeling, verlichting en elektrische apparatuur. Milieuoverwegingen, voorzieningszekerheid en kosten maken dat wij slim met de energievoorziening in de gebouwde omgeving om moeten gaan. Maar alle slimheid, …