Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Energy retrofit and conservation of a historic building using multi-objective optimization and an analytic hierarchy process
HighlightsMethod for identifying the most appropriate retrofit of a historic building.Conservation compatibility included in a multi-objective optimization.Best retrofits regarding comfort, energy, and conservation compatibility.Conservation compatibility quantified in an analytical hierarchy process.Method: applied on a calibrated model of a medieval building in Italy.
AbstractWhen deciding on the best historic building retrofit, energy savings and thermal comfort can be quantitatively evaluated using an energy model, whereas conservation compatibility is intrinsically qualitative and reflects the perspective of the local heritage authority. We present a methodology that permits finding and comparing optimal retrofits for historic buildings in a multi-perspective and quantitative way. We use an analytic hierarchy process to quantify conservation compatibility by distilling a conservation score from the opinions of 10 experts in the field. This score, along with energy needs for heating and cooling and thermal comfort, are the three targets of a multi-objective optimization aimed at identifying optimal retrofits for a medieval building in the north of Italy, destined to become a museum. Retrofit measures considered were different kinds of external and internal envelope insulation, improvement of airtightness, replacement of windows, and ventilative cooling. The result is a portfolio of optimal retrofits that cover the whole range of conservation compatibility. We show that in the analyzed case heritage preservation is compatible with a four-fold reduction in energy needs at a high thermal comfort level. Even higher energy savings are only achievable at the cost of heritage degradation.
Energy retrofit and conservation of a historic building using multi-objective optimization and an analytic hierarchy process
HighlightsMethod for identifying the most appropriate retrofit of a historic building.Conservation compatibility included in a multi-objective optimization.Best retrofits regarding comfort, energy, and conservation compatibility.Conservation compatibility quantified in an analytical hierarchy process.Method: applied on a calibrated model of a medieval building in Italy.
AbstractWhen deciding on the best historic building retrofit, energy savings and thermal comfort can be quantitatively evaluated using an energy model, whereas conservation compatibility is intrinsically qualitative and reflects the perspective of the local heritage authority. We present a methodology that permits finding and comparing optimal retrofits for historic buildings in a multi-perspective and quantitative way. We use an analytic hierarchy process to quantify conservation compatibility by distilling a conservation score from the opinions of 10 experts in the field. This score, along with energy needs for heating and cooling and thermal comfort, are the three targets of a multi-objective optimization aimed at identifying optimal retrofits for a medieval building in the north of Italy, destined to become a museum. Retrofit measures considered were different kinds of external and internal envelope insulation, improvement of airtightness, replacement of windows, and ventilative cooling. The result is a portfolio of optimal retrofits that cover the whole range of conservation compatibility. We show that in the analyzed case heritage preservation is compatible with a four-fold reduction in energy needs at a high thermal comfort level. Even higher energy savings are only achievable at the cost of heritage degradation.
Energy retrofit and conservation of a historic building using multi-objective optimization and an analytic hierarchy process
Roberti, Francesca (Autor:in) / Oberegger, Ulrich Filippi (Autor:in) / Lucchi, Elena (Autor:in) / Troi, Alexandra (Autor:in)
Energy and Buildings ; 138 ; 1-10
09.12.2016
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
| American Institute of Physics | 2019