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.

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.

In 1997 several countries ratified the Kyoto protocol and so engage themselves to take into accountthe global warming, promote the sustainable development and act in order to reduce emission ofgreenhouse gases. Within this context, energy in buildings is known to be one of the first greenhousegases emitting sector. Consequently, determination of steady-state thermal transmission properties foreach kind of faade components becomes necessary in order to evaluate accurately energy loss, todevelop and enhance new products.

This work proposes a mathematical dynamic modeling of a PV-T bi-fluids collector prototype that willpermit electricity production and preheating air and/or hot water production.This study is realised in a bi-dimensional geometry according to some assumptions. The collector is discretizedalong the flow and the collector slope is taking into account in the radiative transfers equations.

This paper introduces a new approach for the prediction of hourly energy consumption inbuildings. The proposed method uses nonlinear timeseries analysis techniques for thereconstruction of energy consumption timeseries and the estimation of the dynamicinvariants, and artificial neural networks as a nonlinear modeling tool.Among the several neural network modeling factors that affect time-series prediction, themost important are the window-size and the sampling lags for the data.

Researchers and practitioners have proposed a variety of solutions to reduce electricity consumptionand curtail peak demand.

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

At present 95% of energy consumption for heating, domestic hot water, air conditioning, lighting andventilation in Europe are related to buildings built before 1980.

The present paper presents the results of the application of cluster analysis in the energy rating ofschool buildings. A complete program on energy and environmental quality of school buildings wasundertaken by NKUA in collaboration with the School Authority of Greece. The research was based onthe participation of 320 schools of secondary education from all the prefectures of Greece.

In the context of pressing and frequently conflicting environmental, economic and social policyobjectives, energy efficiency investment is repeatedly found to be a cost-effective and reconcilablecomponent of energy policies. High-rise residential buildings are a particularly salient issue in thisregard as their poor energy efficiency is regarded as a moderate to major problem by 18 out of 27housing ministries respondent to a Europe-wide survey.