A case study exploring regulated energy use in domestic buildings using design-of-experiments and multi-objective optimisation

A case study exploring regulated energy use in domestic buildings using design-of-experiments and multi-objective optimisation

The newly-released Standard Assessment Procedure (SAP) 2009 [1] underpins all energy calculations for Building Regulations compliance and Code for Sustainable Homes ratings for domestic buildings in the UK. A newly-developed three-stage optimisation framework is applied to the outputs of SAP for a c...

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Bibliographic Details
Published in:Building and environment Vol. 54; pp. 126 - 136
Main Authors: Evins, Ralph, Pointer, Philip, Vaidyanathan, Ravi, Burgess, Stuart
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 01-08-2012
Elsevier
Subjects:
Applied sciences
Building technical equipments
Buildings
Buildings. Public works
Design of experiments
Energy management and energy conservation in building
Environmental engineering
Exact sciences and technology
Multi-objective
Optimisation
Regulation. Standardization
SAP 2009
Standard assessment procedure
System decomposition
United Kingdom
Europe
SAP 2009
Multi-objective
Standard assessment procedure
Optimisation
Design of experiments
System decomposition
Energy analysis
Buildings
Multiobjective programming
Experimental study
Optimization
Case study
Regulation(control)
Experimental result
Building law
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Summary:The newly-released Standard Assessment Procedure (SAP) 2009 [1] underpins all energy calculations for Building Regulations compliance and Code for Sustainable Homes ratings for domestic buildings in the UK. A newly-developed three-stage optimisation framework is applied to the outputs of SAP for a case study concerning a 2-bed mid-level flat. Firstly a comprehensive full-factorial Design-of-Experiments analysis is performed to determine the significance of each input to the outputs of SAP (carbon emissions, running costs and overheating risk). This allows many of the inputs to be disregarded as non-significant. Next a multi-objective optimisation algorithm is applied to all significant variables to simultaneously optimise regulated carbon emissions versus capital and running costs, constrained by limits on overheating and roof area. Finally a more detailed multi-objective optimisation using greater precision is conducted on all variables that exhibit complex behaviour, i.e. which do not take a single value for all optimum solutions. Information is obtained concerning parameter significance and optimal parameter settings, which is presented as graphical design guidance using the process of ‘innovisation’. This will assist engineers in achieving high-performing, cost-effective designs. ► This study addresses regulated carbon emissions from domestic buildings in the UK. ► Techniques used include design-of-experiments and multi-objective optimisation. ► The framework developed allows a complex problem to be rigorously optimised. ► The results of a case study are presented in the form of graphical design guidance. ► The process will assist in achieving both high-performing and cost-effective designs.
ISSN:0360-1323
1873-684X
DOI:10.1016/j.buildenv.2012.02.012