Abstract
A case study provides the correlation analysis of the thickness of the thermo-insulation layer (expanded polystyrene – EPS70) of the typical details of the external wall and energy performance class in a modern newly constructed residential low-energy building (one and two-room apartment). The conducted analysis focused on what impact different geographical areas of building construction and different energy performance classes of the building may had on the thickness of the thermo-insulation layer. Lithuania was chosen as the object of this study. Calculations were carried out in seven towns, including Vilnius, Klaipeda, Kaunas, Siauliai, Panevezys, Utena and Dukstas. According to requirements for legal acts passed in the Republic of Lithuania and to Directive 2010/31/EU (2010), as a result, the necessary thickness of thermo-insulation layers (EPS70) and a payback period were calculated. A multiple criteria decision support system for analyzing the correlation between the thickness of the thermo-insulation layer and its payback period of the external wall (DSS-ACTILPW) consisting of a database, a database management system, a model-base, a model-base management system and a user interface was developed. Information on the performed analysis is important to building designers, energy consumption auditors and investment experts who make the final decisions on energy efficiency of buildings in the residential building sector.
Highlights
Residential buildings consume almost 40% of primary energy in the United States or Europe, and nearly 30% in China (Deng et al 2014)
Different outside air temperature can be observed in different climatic zones in Lithuania, and for using correlation dependence functions, a calculation solution to the thickness of the thermo-insulation layer (EPS70) of the typical details of the wall will be presented in this work
Based on the analysis of the available information, knowledge, expert and decision support systems and, in order to determine the correlation between the thickness of the thermo-insulation layer and its payback period of the external wall, a multiple criteria decision support system for analyzing the correlation between the thickness of the thermo-insulation layer and its payback period of the external wall (DSS-ACTILPW) consisting of a database, a database management system, a model-base, a modelbase management system and the user interface was developed
Summary
Residential buildings consume almost 40% of primary energy in the United States or Europe, and nearly 30% in China (Deng et al 2014). A higher quality of buildings is achieved People living in these buildings have better living and hygienic conditions, which creates more jobs and increases work efficiency and productivity in the sectors of energy saving and innovative product development. To pass from minimum requirements for classes C and B of the energy efficiency of newly constructed buildings to class A++, it is important to assess climatic parameters and the influence of payback on the final decision (Aviza, Turskis 2014). This task is of utmost importance in the residential building sector.
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