Details Details PDF BIBTEX RIS Title The use of multi-criteria optimization to choose solutions for energy-efficient buildings Journal title Bulletin of the Polish Academy of Sciences Technical Sciences Yearbook 2017 Volume 65 Issue No 6 (Special Section on Civil Engineering – Ongoing Technical Research. Part II) Authors Basińska, M. Divisions of PAS Nauki Techniczne Coverage 815-826 Date 2017 Identifier DOI: 10.1515/bpasts-2017-0084 Source Bulletin of the Polish Academy of Sciences: Technical Sciences; 2017; 65; No 6 (Special Section on Civil Engineering – Ongoing Technical Research. Part II); 815-826 References Heikkila (2004), Environmental impact assessment using a weighting method for alternative air - conditioning systems, Build Environ, 39, 1133. ; Hopfe (2013), Multi - criteria decision making under uncertainty in building performance as - sessment, Build Environ, 69, 81. ; Baglivo (2015), Cost - op - timal analysis and technical comparison between standard and high efficient mono - residential buildings in a warm climate, Energy, 83, 560. ; Geryło (2016), Energy - related conditions and envelope properties for sustainable buildings Bull Pol, Tech, 697. ; Hamdy (2010), A multi - stage optimization method for cost - optimal and nearly - zero - energy building solu - tions in line with the EPBD Recast, Energ Buildings, 56, 189. ; Balaras (2005), Heating energy consumption and resulting environmental im - pact of European apartment buildings, Energ Buildings, 37, 429. ; Georges (2012), De Herde Environmental and economic performance of heating systems for energy - efficient dwellings : Case of passive and low - energy single - family houses, Energy Policy, 40, 452. ; Bambrook (2011), Design optimis - ation for a low energy home in Sydney, Energ Buildings, 43, 1702. ; Basińska (2016), Analysis of the possibilities to achieve the low energy residential buildings standards, Technol Econ Dev Eco, 22, 830. ; Nguyen (2014), A review on simula - tion - based optimization methods applied to building performance analysis, Appl Energ, 113, 1043. ; Fesanghary (2012), Design of low - emis - sion and energy - efficient residential buildings using a multi - objec - tive optimization algorithm, Build Environ, 49, 245. ; Wang (2009), Review on multi - criteria decision analysis aid in sustainable energy deci - sion - making sust, Renew Energ Rev, 13, 2263. ; Avgelis (2009), Application of multicri - teria analysis in designing HVAC systems, Energ Buildings, 41, 774. ; Shah (2008), Life cycle assessment of residential heating and cooling systems in four regions in the United States, Energ Buildings, 40, 503. ; Tian (2013), A review of sensitivity analysis methods in building energy analysis, Renew Sust Energ Rev, 20, 411. ; Diakaki (2010), laitzakis A multi - objective decision model for the improvement of energy efficiency in buildings, Energy, 35, 5483. ; Ferrara (2014), A simu - lation - based optimization method for cost - optimal analysis of nearly Zero Energy Buildings, Energ Buildings, 84, 442. ; Lizana (2016), tegui Multi - criteria assessment for the effective decision man - agement in residential energy retrofitting, Energ Buildings, 129. ; Basińska (2015), Sensitivity analysis of determining the optimum energy for residential build - ings in Polish conditions, Energ Buildings, 107, 307. ; Hamdy (2011), Applying a multi - objective optimization approach for design of low - emission cost - effective dwellings, Build Environ, 46, 109.