Evaluating the alternative solutions of wall insulation by multicriteria methods

Abstract The economic effect of buildings’ renovation largely depends on implementation of energy saving methods and devices. A very high economic effect is achieved by wall insulation. In this respect, it is even higher than the replacement of windows. The alternative solutions of wall insulation of buildings differ in the materials used, labour expenditure and other aspects. The cost of renovation depends on the solutions made. The criteria describing the available wall insulation alternatives may have different values. Moreover, they may change in different directions, i.e. a higher value of some criteria denotes a better state, while for others they mean a worse situation. In this environment, a compromise variant is required, which can be found by multicriteria evaluation methods. To reduce the effect of various methods on calculation results, it can be recommended to assess the object (or phenomenon) considered by several different methods, with a subsequent determination of the average estimate val...

[1]  E. Zavadskas,et al.  Evaluation of investments into housing renovation , 2004 .

[2]  Wei-Chih Wang,et al.  Improving AHP for construction with an adaptive AHP approach (A3) , 2008 .

[3]  Valentinas Podvezko,et al.  Some problems of evaluating multicriteria decision methods , 2007 .

[4]  Valentinas Podvezko,et al.  Assessing the financial state of construction enterprises , 2006 .

[5]  Artur Rogoža,et al.  A sustainable analysis of a detached house heating system throughout its life cycle. A case study , 2007 .

[6]  R. A. Fisher,et al.  Statistical Tables for Biological, Agricultural and Medical Research , 1956 .

[7]  Romualdas Ginevičius,et al.  Multicriteria Evaluation of the Criteria Weights Based on Their Interrelationship , 2006 .

[8]  Vytautas Martinaitis,et al.  An estimation of exergy consumption paterns of energy‐intensive building service systems , 2006 .

[9]  Edmundas Kazimieras Zavadskas,et al.  The selection of effective retrofit scenarios for panel houses in urban neighborhoods based on expected energy savings and increase in market value: The Vilnius case , 2008 .

[10]  C. F. Kossack,et al.  Rank Correlation Methods , 1949 .

[11]  Valentinas Podvezko,et al.  Agreement of expert estimates , 2005 .

[12]  J. M. Bevan,et al.  Rank Correlation Methods , 1949 .

[13]  E. Zavadskas,et al.  Evaluating the sustainability of vilnius city residential areas , 2007 .

[14]  Valentinas Podvezko,et al.  Complex evaluation of the use of information technologies in the countries of eastern and central Europe , 2004 .

[15]  Romualdas Ginevičius,et al.  Normalization of quantities of various dimensions , 2008 .

[16]  E. Zavadskas,et al.  Defining the utility and market value of a real estate: A multiple criteria approach , 2007 .

[17]  C. Hwang.  Multiple Objective Decision Making - Methods and Applications: A State-of-the-Art Survey , 1979 .

[18]  Lina Šeduikytė,et al.  Estimation of the effectiveness of renovation work in Lithuanian schools , 2006 .

[19]  L. Tippett.  Statistical Tables: For Biological, Agricultural and Medical Research , 1954 .

[20]  Valentinas Podvezko,et al.  Determining of technological effectiveness of building systems by AHP method , 2004 .

[21]  Mark Gorgolewski.  Optimising renovation strategies for energy conservation in housing , 1995 .

[22]  Edmundas Kazimieras Zavadskas,et al.  Selection of low-e windows in retrofit of public buildings by applying multiple criteria method COPRAS: A Lithuanian case , 2006 .

[23]  S. Yu. Fialko,et al.  MODERN BUILDING MATERIALS, STRUCTURES AND TECHNIQUES , 2004 .

[24]  Edmundas Kazimieras Zavadskas,et al.  A multiple criteria evaluation of multi-family apartment block's maintenance contractors: I—Model for maintenance contractor evaluation and the determination of its selection criteria , 2006 .

[25]  Sevastianos Mirasgedis,et al.  European residential buildings and empirical assessment of the Hellenic building stock, energy consumption, emissions and potential energy savings , 2007 .

[26]  Valentinas Podvezko,et al.  Evaluating the effect of state aid to business by multicriteria methods , 2008 .

[27]  J. Dutoit.  The Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) , 2007 .

[28]  Edmundas Kazimieras Zavadskas,et al.  Multi-attribute Assessment of Road Design Solutions by Using the COPRAS Method , 2007 .

[29]  Gwo-Hshiung Tzeng,et al.  Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS , 2004, Eur. J. Oper. Res..

[30]  Edmundas Kazimieras Zavadskas,et al.  SELECTION OF THE EFFECTIVE DWELLING HOUSE WALLS BY APPLYING ATTRIBUTES VALUES DETERMINED AT INTERVALS , 2008 .

[31]  Valentinas Podvezko,et al.  A Feasibility Study of Multicriteria Methods’ Application to Quantitative Evaluation of Social Phenomena , 2008 .

[32]  Andrzej Lapko,et al.  ON MODELLING HEAT AND MOISTURE TRANSFER IN SANDWICH WALL AND SLAB STRUCTURES , 2006 .

[33]  Valentinas Podvezko,et al.  Determining the level of agreement of expert estimates , 2007 .

[34]  Valentinas Podvezko,et al.  Quantitative evaluation of building technology , 2007, Int. J. Technol. Manag..

[35]  Thomas L. Saaty,et al.  Multicriteria Decision Making: The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation , 1990 .

[36]  J. Šadauskienė,et al.  The impact of exterior finish vapour resistance on the moisture state of building walls , 2007 .

[37]  Romualdas Ginevičius,et al.  Daugiakriterinio vertinimo būdų suderinamumas , 2008 .

[38]  Darius Kalibatas,et al.  Multi‐objective evaluation of microclimate in dwelling , 2007 .

[39]  Ching-Lai Hwang,et al.  Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.

[40]  V. Podvezko,et al.  THE COMPLEX EVALUATION OF ECONOMIC DEVELOPMENT OF THE BALTIC STATES AND POLAND , 2006 .