Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Multi Objective Optimisation analysis of non-domestic building retrofit strategies in the UK, under climate change uncertainty: A Passivhaus case study approach
This study, examining a Passivhaus retrofit in London, investigates optimum pathways for non-domestic low energy retrofits in the UK, capable of preserving their low energy status in future changing climates. A methodological framework is deployed, utilizing multi-objective optimisation (MOO) techniques and setting three conflicting objectives: building’s annual energy use, occupants’ discomfort, and retrofit’s Net Present Value. The results highlight the potential of this methodological framework to provide an essential aid to the early-stage decision-making phase of building retrofits, identifying solutions which would be more resilient in future climates. Findings emphasize the capability of MOO analysis to demonstrate distinct differences between widely preferred energy-efficient measures and solutions considered “optimum”, whilst analysing the Pareto optimums obtained for future climates, gradual adaptation measures can be identified.
Multi Objective Optimisation analysis of non-domestic building retrofit strategies in the UK, under climate change uncertainty: A Passivhaus case study approach
This study, examining a Passivhaus retrofit in London, investigates optimum pathways for non-domestic low energy retrofits in the UK, capable of preserving their low energy status in future changing climates. A methodological framework is deployed, utilizing multi-objective optimisation (MOO) techniques and setting three conflicting objectives: building’s annual energy use, occupants’ discomfort, and retrofit’s Net Present Value. The results highlight the potential of this methodological framework to provide an essential aid to the early-stage decision-making phase of building retrofits, identifying solutions which would be more resilient in future climates. Findings emphasize the capability of MOO analysis to demonstrate distinct differences between widely preferred energy-efficient measures and solutions considered “optimum”, whilst analysing the Pareto optimums obtained for future climates, gradual adaptation measures can be identified.
Multi Objective Optimisation analysis of non-domestic building retrofit strategies in the UK, under climate change uncertainty: A Passivhaus case study approach
Papasifaki, A (Autor:in) / Garcia Kerdan, I (Autor:in) / Ucci, M (Autor:in)
23.09.2016
In: Proceedings of 6th Masters Conference: People and Buildings. Network for Comfort and Energy Use in Buildings: London, UK. (2016)
Paper
Elektronische Ressource
Englisch
DDC:
690
Thermodynamic and exergoeconomic analysis of a non-domestic Passivhaus retrofit
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