A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
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 (author) / Garcia Kerdan, I (author) / Ucci, M (author)
2016-09-23
In: Proceedings of 6th Masters Conference: People and Buildings. Network for Comfort and Energy Use in Buildings: London, UK. (2016)
Paper
Electronic Resource
English
DDC:
690
Thermodynamic and exergoeconomic analysis of a non-domestic Passivhaus retrofit
| BASE | 2017
Multi-objective Optimisation and Building Retrofit Planning
| Springer Verlag | 2021