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Pregled bibliografske jedinice broj: 1243351

Method for Selection of the Optimal Solution for Deep Energy Renovation of a Building


Budim, Ružica; Dergestin, Denis; Knezović, Frano; Bačan, Ivan
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)


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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



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Citiraj ovu publikaciju:

Budim, Ružica; Dergestin, Denis; Knezović, Frano; Bačan, Ivan
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)
Budim, R., Dergestin, D., Knezović, F. & Bačan, I. (2022) Method for Selection of the Optimal Solution for Deep Energy Renovation of a Building. U: 20th International Conference on Thermal Science and Engineering of Serbia, SimTerm2022.
@article{article, author = {Budim, Ru\v{z}ica and Dergestin, Denis and Knezovi\'{c}, Frano and Ba\v{c}an, Ivan}, year = {2022}, pages = {658-669}, keywords = {Deep energy building renovation, Optimal combination, Energy efficiency measures}, title = {Method for Selection of the Optimal Solution for Deep Energy Renovation of a Building}, keyword = {Deep energy building renovation, Optimal combination, Energy efficiency measures}, publisherplace = {Ni\v{s}, Srbija} }
@article{article, author = {Budim, Ru\v{z}ica and Dergestin, Denis and Knezovi\'{c}, Frano and Ba\v{c}an, Ivan}, year = {2022}, pages = {658-669}, keywords = {Deep energy building renovation, Optimal combination, Energy efficiency measures}, title = {Method for Selection of the Optimal Solution for Deep Energy Renovation of a Building}, keyword = {Deep energy building renovation, Optimal combination, Energy efficiency measures}, publisherplace = {Ni\v{s}, Srbija} }




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