Matches in SemOpenAlex for { <https://semopenalex.org/work/W2994809350> ?p ?o ?g. }
- W2994809350 endingPage "114289" @default.
- W2994809350 startingPage "114289" @default.
- W2994809350 abstract "The energy requalification of existing buildings entails the fulfillment of different, often conflicting, criteria, such as the reduction of the specific annual energy demand, the containment of the construction costs, the decrease in the annual energy operating cost and the reduction of climate-change gas emissions. Therefore, optimization methods based on the application of computational algorithms are essential to determine solutions that meet multi-objective criteria and so highly optimized to be on the Pareto frontier. In this work, a procedure for the optimization of existing buildings using genetic algorithms is presented. Building energy simulations conducted in the dynamic regime using EnergyPlus are coupled with an Active Archive Non-dominated Sorting Genetic Algorithm (aNSGA-II type). Using a residential building as a benchmark, this procedure is employed to evaluate the best retrofitting interventions for 19 European cities with different climates. The criteria taken into account in the optimization procedure are: the reduction in the annual specific energy demand, the decrease in the construction and installation costs, the reduction in the annual energy operating costs and the reduction in the greenhouse gas emissions. The results show the most advantageous energy retrofitting interventions fulfilling the criteria for the different geographical sites." @default.
- W2994809350 created "2019-12-26" @default.
- W2994809350 creator A5001627421 @default.
- W2994809350 creator A5012645078 @default.
- W2994809350 creator A5046444544 @default.
- W2994809350 creator A5048287765 @default.
- W2994809350 creator A5057171196 @default.
- W2994809350 creator A5064800841 @default.
- W2994809350 date "2020-02-01" @default.
- W2994809350 modified "2023-10-11" @default.
- W2994809350 title "Effects of local conditions on the multi-variable and multi-objective energy optimization of residential buildings using genetic algorithms" @default.
- W2994809350 cites W1142929227 @default.
- W2994809350 cites W1530760027 @default.
- W2994809350 cites W1563241897 @default.
- W2994809350 cites W1585830203 @default.
- W2994809350 cites W1720804347 @default.
- W2994809350 cites W1964563559 @default.
- W2994809350 cites W1970954869 @default.
- W2994809350 cites W1977079594 @default.
- W2994809350 cites W1977493117 @default.
- W2994809350 cites W1985019065 @default.
- W2994809350 cites W1991181479 @default.
- W2994809350 cites W1991652125 @default.
- W2994809350 cites W1992120390 @default.
- W2994809350 cites W1997334587 @default.
- W2994809350 cites W1997560513 @default.
- W2994809350 cites W2003999364 @default.
- W2994809350 cites W2006740448 @default.
- W2994809350 cites W2008691115 @default.
- W2994809350 cites W2014166098 @default.
- W2994809350 cites W2016918677 @default.
- W2994809350 cites W2021019094 @default.
- W2994809350 cites W2025111600 @default.
- W2994809350 cites W2026980178 @default.
- W2994809350 cites W2036034179 @default.
- W2994809350 cites W2037767895 @default.
- W2994809350 cites W2038192679 @default.
- W2994809350 cites W2039915758 @default.
- W2994809350 cites W2049248576 @default.
- W2994809350 cites W2050275517 @default.
- W2994809350 cites W2055786256 @default.
- W2994809350 cites W2060539505 @default.
- W2994809350 cites W2061434834 @default.
- W2994809350 cites W2068372279 @default.
- W2994809350 cites W2068956724 @default.
- W2994809350 cites W2075349917 @default.
- W2994809350 cites W2082283112 @default.
- W2994809350 cites W2087821663 @default.
- W2994809350 cites W2088891828 @default.
- W2994809350 cites W2090450403 @default.
- W2994809350 cites W2092756698 @default.
- W2994809350 cites W2094068226 @default.
- W2994809350 cites W2094842522 @default.
- W2994809350 cites W2096908203 @default.
- W2994809350 cites W2111809676 @default.
- W2994809350 cites W2117243480 @default.
- W2994809350 cites W2118400974 @default.
- W2994809350 cites W2126105956 @default.
- W2994809350 cites W2127170577 @default.
- W2994809350 cites W2128120029 @default.
- W2994809350 cites W2151049413 @default.
- W2994809350 cites W2160824058 @default.
- W2994809350 cites W2166480912 @default.
- W2994809350 cites W2173089344 @default.
- W2994809350 cites W2222763267 @default.
- W2994809350 cites W2229766887 @default.
- W2994809350 cites W2235689181 @default.
- W2994809350 cites W2235878647 @default.
- W2994809350 cites W2276120917 @default.
- W2994809350 cites W2282026453 @default.
- W2994809350 cites W2301256248 @default.
- W2994809350 cites W2302216138 @default.
- W2994809350 cites W2409267876 @default.
- W2994809350 cites W2506715828 @default.
- W2994809350 cites W2520643382 @default.
- W2994809350 cites W2526301380 @default.
- W2994809350 cites W2553979159 @default.
- W2994809350 cites W2587556970 @default.
- W2994809350 cites W2610317852 @default.
- W2994809350 cites W2612777046 @default.
- W2994809350 cites W2758042111 @default.
- W2994809350 cites W2776991725 @default.
- W2994809350 cites W2795807894 @default.
- W2994809350 cites W2800469325 @default.
- W2994809350 cites W2802066268 @default.
- W2994809350 cites W2808347011 @default.
- W2994809350 cites W2824400775 @default.
- W2994809350 cites W2889233307 @default.
- W2994809350 cites W2889528122 @default.
- W2994809350 cites W2907914266 @default.
- W2994809350 cites W2921392576 @default.
- W2994809350 cites W2921818340 @default.
- W2994809350 cites W2921876309 @default.
- W2994809350 cites W2923436222 @default.
- W2994809350 cites W2953793057 @default.
- W2994809350 cites W2968784502 @default.
- W2994809350 cites W3022403451 @default.
- W2994809350 cites W4252159371 @default.