BS19_Paper_Draft_v.7.pdf (788.34 kB)
Can multi-objective optimisation achieve more resilient outcomes in the UK's social housing sector?
conference contribution
posted on 2019-07-01, 12:14 authored by Joe Forde, Christina Hopfe, Rob McLeod, Ralph EvinsThe housing crisis within the UK continues with
growing private housing rental prices and increasing levels of homelessness. This situation has been
driven by the homogeneous development of housing
tenures under-supplying in-demand social and affordable homes. Previous work has seen the implementation of multi-objective optimisation within a broad
range of building performance simulation software.
The present work is novel in the implementation of
a multi-objective decision support framework within
software used for compliance with the low energy Passivhaus standard. This use of evidence-based decision
support could enable local authorities to make better informed decision in relation to large development
seeking Passivhaus compliance.
Results indicate that different optimal solutions are
present depending on the criteria used to meet the
standard. This means that it is important to select
early in the design process either the heating load, or
annual heating demand criteria if optimisation techniques are to be applied based on the Passivhaus certification criteria to the design.
History
School
- Architecture, Building and Civil Engineering
Published in
Building Simulation 2019Citation
FORDE, J. ... et al., 2019. Can multi-objective optimisation achieve more resilient outcomes in the UK's social housing sector? Presented at the 16th IBPSA International Conference & Exhibition Building Simulation 2019, Rome, 2-4th Sept.Publisher
IBPSAVersion
- AM (Accepted Manuscript)
Acceptance date
2019-05-06Publication date
2019Publisher version
Language
- en