Paper Conference

Proceedings of Building Simulation 2017: 15th Conference of IBPSA

     

Multi-Objective Optimisation In Early Stage Design. Case Study: Northampton University Creative Hub Building

David Roderick Polson1, Evan Zacharis2, Oliver Lawrie2, Dora Vagiou 2
1University of Sheffield, Sheffield, United Kingdom
2Arup, Solihull, United Kingdom


DOI: https://doi.org/10.26868/25222708.2017.435
Abstract: The aim of this paper is to investigate optimum design options for the early design stage of a building that would not only result in achieving low carbon status, but could also have a reduced construction capital cost. During the last decade, there has been an increasing interest in using optimisation algorithms in the building design process. However, in real-world building design complications, the optimisation problem consists of at least two conflicting objectives, e.g. minimising energy demand whilst keeping the construction cost low without compromising the user’s comfort. In this case study, a commercial variant of the well-known genetic algorithm NSGA II was used to identify a set of optimal solutions. DesignBuilder software was utilised to create the base model and run the multi-objective optimisation, with two objectives; energy consumption and capital cost. The optimisation results represent the design balance between capital cost and energy consumption. The design solutions that help maintain the comfort performance have been derived from a rationalisation exercise that was undertaken prior to this study and aligns thermal comfort with a defined industry guidance including minimising the quantified risk of overheating and excessive energy use for cooling.
Pages: 1637 - 1645
Paper:
BS2017_435