Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Multi Objective Optimisation for the minimisation of Life Cycle Carbon Footprint & Life Cycle Cost using NSGA II: A Refurbished High-Rise Residential Building Case Study
This paper presents the application of Multi Objective Optimisation approach to a design decision-making process, which aims to minimise Life Cycle Carbon Footprint (LCCF) and Life Cycle Cost (LCC) from cradle-to-grave of a refurbishment intervention over a period of 60 years. The purpose is to compare the LCCF and LCC of the un-refurbished and refurbished solution of the case study with the optimal solution obtained using a multi-objective computational method. Results show that the application of this method in the decision–making process can achieve considerable carbon emission savings, while relatively smaller savings were recorded in terms of LCC. The LCCF of the optimal solution was 21% less than the refurbished solution and 67% less the un-refurbished solution. Compared to the LCCF assessment, the LCC analysis showed a smaller gap of about 5% between the refurbished and optimal solution, and about 16% between the un-refurbished and optimal solutions.
Multi Objective Optimisation for the minimisation of Life Cycle Carbon Footprint & Life Cycle Cost using NSGA II: A Refurbished High-Rise Residential Building Case Study
This paper presents the application of Multi Objective Optimisation approach to a design decision-making process, which aims to minimise Life Cycle Carbon Footprint (LCCF) and Life Cycle Cost (LCC) from cradle-to-grave of a refurbishment intervention over a period of 60 years. The purpose is to compare the LCCF and LCC of the un-refurbished and refurbished solution of the case study with the optimal solution obtained using a multi-objective computational method. Results show that the application of this method in the decision–making process can achieve considerable carbon emission savings, while relatively smaller savings were recorded in terms of LCC. The LCCF of the optimal solution was 21% less than the refurbished solution and 67% less the un-refurbished solution. Compared to the LCCF assessment, the LCC analysis showed a smaller gap of about 5% between the refurbished and optimal solution, and about 16% between the un-refurbished and optimal solutions.
Multi Objective Optimisation for the minimisation of Life Cycle Carbon Footprint & Life Cycle Cost using NSGA II: A Refurbished High-Rise Residential Building Case Study
Vasinton, S (Autor:in) / Raslan, RM (Autor:in) / Hamza, N / Underwood, C
01.09.2016
In: Hamza, N and Underwood, C, (eds.) Proceedings of the Building Performance and Optimization conference, BSO16. (pp. p. 1080). IBPSA - England (2016)
Paper
Elektronische Ressource
Englisch
DDC:
690
| BASE | 2018
Minimisation of life cycle cost of a detached house using combined simulation and optimisation
| British Library Online Contents | 2008
Minimisation of life cycle cost of a detached house using combined simulation and optimisation
| Online Contents | 2008