Statistical analysis of the Greek residential building stock

Abstract The latest developments in the field of energy supply, along with the major issue of the environment protection, set new priorities and yardsticks concerning the energy policies implemented worldwide. The development and implementation of effective energy conservation policies has been a target of the European Union ever since the days when it was still called European Economic Community. In this framework, and despite the successes already monitored, the need for further energy conservation in the building sector is a both an aim and a tool. Emphasis is being placed on the residential building stock and the improvement of its energy performance. Greece has been one of the last countries to adopt the Directive on the Energy Performance of Buildings. A thorough research regarding the nature of the Greek residential building stock helps in highlighting the problems associated with this delay, but also the perspectives for catching up with the other EU member states and achieving the aims set for the coming years. This paper aims at providing detailed information on the residential urban building stock, as determined in a field study in typical big and smaller Greek cities.

[1]  M. Polemis,et al.  The structure of residential energy demand in Greece , 2006 .

[2]  Eleni Papathanasopoulou,et al.  Household consumption, associated fossil fuel demand and carbon dioxide emissions: The case of Greece between 1990 and 2006 , 2010 .

[3]  Francis W.H. Yik,et al.  Perception of importance and performance of the indoor environmental quality of high-rise residential buildings , 2009 .

[4]  V. Ismet Ugursal,et al.  Modeling of end-use energy consumption in the residential sector: A review of modeling techniques , 2009 .

[5]  John Psarras,et al.  Energy research and technology development data collection strategies: The case of Greece , 2009 .

[6]  Ilaria Ballarini,et al.  Application of energy rating methods to the existing building stock: Analysis of some residential buildings in Turin , 2009 .

[7]  A. Carlsson-kanyama,et al.  Efficient and inefficient aspects of residential energy behaviour: What are the policy instruments for change? , 2006 .

[8]  Madhavi Indraganti,et al.  Effect of age, gender, economic group and tenure on thermal comfort: A field study in residential buildings in hot and dry climate with seasonal variations , 2010 .

[9]  N. Papamanolis.  The main constructional characteristics of contemporary urban residential buildings in Greece , 2005 .

[10]  Mario Ragwitz,et al.  Sustainable reference methodology for energy end-use efficiency data in the EU , 2008 .

[11]  E. Sardianou.  Estimating energy conservation patterns of Greek households , 2007 .

[12]  N. Kyriakis,et al.  Heating and cooling degree-hours for Athens and Thessaloniki, Greece , 2005 .

[13]  Marco Filippi,et al.  Energy demand for space heating through a statistical approach : application to residential buildings , 2008 .

[14]  Jamal O. Jaber,et al.  Residential past and future energy consumption: Potential savings and environmental impact , 2009 .

[15]  M. Assimakopoulos,et al.  On the relation between the energy and social characteristics of the residential sector , 2007 .

[16]  V. Assimakopoulos.  Residential energy demand modelling in developing regions : The use of multivariate statistical techniques , 1992 .

[17]  Mario Ragwitz,et al.  A methodology for validating the renewable energy data in EU , 2007 .

[18]  Theodoros Zachariadis,et al.  Exploring the relationship between energy use and economic growth with bivariate models: New evidence from G-7 countries , 2007 .

[19]  E. Sardianou,et al.  Estimating space heating determinants: An analysis of Greek households , 2008 .

[20]  Constantinos A. Balaras,et al.  Potential for energy conservation in apartment buildings , 2000 .

[21]  Bernard Marie Lachal,et al.  Predicted versus observed heat consumption of a low energy multifamily complex in Switzerland based on long-term experimental data , 2004 .

[22]  M. N. Assimakopoulos,et al.  Using intelligent clustering techniques to classify the energy performance of school buildings , 2007 .

[23]  Henk Visscher,et al.  The effect of occupancy and building characteristics on energy use for space and water heating in Dutch residential stock , 2009 .

[24]  Marc Eichen,et al.  Energy use and conservation in the residential sector Methodological questions and policy prescriptions , 1982 .

[25]  Theodoros Theodosiou,et al.  Feasibility of energy saving renovation measures in urban buildings. The impact of energy prices and the acceptable pay back time criterion , 2002 .

[26]  Konstantinos Papakostas,et al.  Occupational and energy behaviour patterns in Greek residences , 1997 .