T. Psomas, . P. Holzer & M. Santamouris
Bibliographic info:
Proceedings of the 34th AIVC - 3rd TightVent - 2nd Cool Roofs' - 1st venticool Conference , 25-26 September, Athens 2013

The climate of Greece is typical Mediterranean with wet, cool winters and hot, dry summers. The temperature range is on average between 5°C to 35°C without many extreme temperatures and weather events. The cool sea breeze on the islands makes summer conditions milder. According to researchers and assessment reports of the United Nations climate change is inevitable in the 21st century. Regional climate models related to Greece show low uncertainties. As far as Greece is concerned, this climate change will be related to an increase in the ambient surface temperature and to a decrease in the annual precipitation. Wind patterns show that they will not change significantly. No significant changes are expected also for global radiation.

In this paper a typical single family two storey detached residential building for five occupants, in the hottest area of Greece – Rhodos island, is thermally optimized with various processes – strategies and the effect of the night natural flush ventilation. The cooling and heating demands of the building are less than 15 kWh/m²/yr (nearly zero). For the dynamic thermal simulation and performance of the examined building, the TAS software has been used. The thermal simulations for this paper run with the most updated weather data from Meteonorm software. In addition thermal demands of the same building are checked with the use of future data from the same source, for different emission scenarios, until 2050, per decade. In general, the A1B medium – emission scenario, which is the most pessimistic for the area, assumes rapid economic growth, increase of the population and social interactions until the middle of the century and more efficient technologies with a balance across all sources. The heating and cooling demands of the future compared with the present situation. Finally new night ventilation patterns are checked for optimization purposes for the A1B emission scenario at the end of the examined period.