Pregled bibliografske jedinice broj: 1243351
Method for Selection of the Optimal Solution for Deep Energy Renovation of a Building
Method for Selection of the Optimal Solution for Deep Energy Renovation of a Building // 20th International Conference on Thermal Science and Engineering of Serbia, SimTerm2022
Niš, Srbija, 2022. str. 658-669 (ostalo, recenziran, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1243351 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Method for Selection of the Optimal Solution for
Deep Energy Renovation of a Building
Autori
Budim, Ružica ; Dergestin, Denis ; Knezović, Frano ; Bačan, Ivan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Skup
20th International Conference on Thermal Science and Engineering of Serbia, SimTerm2022
Mjesto i datum
Niš, Srbija, 18-21.10.2022
Vrsta sudjelovanja
Ostalo
Vrsta recenzije
Recenziran
Ključne riječi
Deep energy building renovation ; Optimal combination ; Energy efficiency measures
Sažetak
The great potential for reduction of CO2 emissions lies in the deep energy renovation of buildings that exploits the full potential of improving energy efficiency in buildings to maximize energy savings and minimize energy costs. However, in addition to the technical parameters, it is necessary to analyze the willingness of the client to pay for deep energy renovation. This paper presents a methodology applicable to all types of buildings that in a relatively short time provides an optimal solution that meets both parameters – technical and economic, while satisfying the legal requirements. The method was tested by simultaneous use of DesignBuilder (which uses EnergyPlus as its dynamic simulation engine), Python and SQL programming language on an office building in the city of Zagreb, where a total of 720 combinations of building deep energy renovation were analyzed. In the analyzed case, it was proved that the application of this methodology results in obtaining the output values 20.51 times faster than the classical input of all combinations of deep energy renovation of the building in software tools. In addition, the probability of human error is much lower by applying this methodology given large amount of input data.
Izvorni jezik
Engleski
Znanstvena područja
Građevinarstvo, Strojarstvo, Interdisciplinarne tehničke znanosti
POVEZANOST RADA