A passive strategy to reduce the energy consumption of existing buildings is to improve the thermal insulation of the opaque building envelope and insert windows with low thermal transmittance U. But what is the best compromise between cost of intervention and reduction of primary energy? The aim of this paper is to answer this question using the innovative cost-optimal methodology and a dynamic energy simulation software. The case study refers to an existing school in central Italy. Eight passive strategies are analysed, combining different insulation thicknesses and types of windows. Furthermore, a comparison between cost-optimal methodology and discounted payback analysis is reported. Finally, a sensitivity analysis on parameters influencing the cost-optimal method is conducted. The lowest primary energy is obtained considering an insulation thickness of 12 cm and windows with U of 1.10 W/m2 K, while the best case using the cost-optimal methodology refers to a low increase in insulation thickness.
Cost-optimal methodology and passive strategies for building energy efficiency: a case-study / D’Agostino, D.; D'Araio, L.; Marino, C.; Minichiello, F.. - In: ARCHITECTURAL SCIENCE REVIEW. - ISSN 0003-8628. - 61:6(2018), pp. 400-409. [10.1080/00038628.2018.1491826]
Cost-optimal methodology and passive strategies for building energy efficiency: a case-study
D’Agostino D.;Minichiello F.
2018
Abstract
A passive strategy to reduce the energy consumption of existing buildings is to improve the thermal insulation of the opaque building envelope and insert windows with low thermal transmittance U. But what is the best compromise between cost of intervention and reduction of primary energy? The aim of this paper is to answer this question using the innovative cost-optimal methodology and a dynamic energy simulation software. The case study refers to an existing school in central Italy. Eight passive strategies are analysed, combining different insulation thicknesses and types of windows. Furthermore, a comparison between cost-optimal methodology and discounted payback analysis is reported. Finally, a sensitivity analysis on parameters influencing the cost-optimal method is conducted. The lowest primary energy is obtained considering an insulation thickness of 12 cm and windows with U of 1.10 W/m2 K, while the best case using the cost-optimal methodology refers to a low increase in insulation thickness.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.