This paper presents the application of multi-inputs single-output (MISO) models to estimate thethermophysicals parameters of a building. ARARMAX, Box-Jenkins and the general MISO models areused to identify the U value, the time constant and the equivalent solar surface of the building.Optimization-based prediction error method (PEM) algorithm is used to estimate model parameters.This approach has been tested to analyze a passive solar house in Tunis. The identified parameterswere compared to theoretical values; good results have been obtained for the tested building.
There is an obvious and indisputable need for an increase in the efficiency of energy utilisation inbuildings. Until now, so-called energy saving measures and analyses of energy flows in buildings havecommonly been based on the energy conservation principle, the first law of thermodynamics.
Within the context of an energy performance regulation, it is essential to take the transmission lossesinto account. If building details are not well designed or carried out, thermal bridges can substantiallyincrease the transmission losses. Though, the physical principles for evaluating thermal bridges arewell known and covered by European standards.
The EPLabel project is developing a ‘graduated response’ to address the EPBD Article 7.3 requirement for ‘Public Buildings’ over 1,000 m² to display an Energy Performance Certificate prominently. The idea is that assessments can be at different levels of
The EPLabel project addresses the EU Energy Performance of Buildings Directive (EPBD) Article 7.3: the requirement for ‘Public Buildings’ over 1,000 m² to display an Energy Certificate prominently, OJEC (2003)[1] and is supported by the EC’s Intelligent E
Since most important design decisions are taken during the first design phase, an evaluation ofthe total environmental impact is necessary at that moment. A first step in that direction is takenby the Flemish government through the introduction of the Energy Performance Norm (EPN) fromJanuary 2006 on. The EPN evaluates the overall energy consumption of buildings during the usephase instead of looking at thermal insulation and compactness only.
The objective of this paper is to analyse if Radiant Cooling Ceiling (RCC) has the potential to providebetter comfort and energy consumption in prefabricated buildings by comparison with conventionalsystems installed on this structures. Another purpose of this paper is to investigate the risk ofcondensation on the ceiling panel and finding the solution to prevent this. A building energy simulationcode called Trnsys was used to simulate the system and to analyse different characteristics of theRCC and of the indoor space.
The indoor climate plays a key-role in relation to sustainable building. Often measured or simulatedtime series are used for the evaluation of indoor climate performances. Analyzing these data might bea problem due to the lack of proper visualization tools. In this paper, we introduce a new way tovisualize long-term (seasonal) and detailed (less than 1 hour) measured or simulated indoor climatedata compared to demanded criteria in a single chart: the Climate Evaluation Chart (CEC).Furthermore, the use of CECs is demonstrated by two case studies: (1) Preservation priority.
In this paper, a study of the energy performance in Singapore’s hotel industry is reported. Energy consumption data and other pertinent information were collected from 29 quality hotels through a national survey. Building features and operational characte
According to the Article 6 of the 2002/91/EC – EP “when buildings with a total useful floor area over 1000 m2 undergo major renovation their energy performance is upgraded in order to meet minimum requirements ….” which should be derived “…in accordance w