A multi-aid optimization scheme for large-scale investigation of cost-optimality and energy performance of buildings. Issue 4 (3rd July 2016)

• Record Type: Journal Article
• Authors: Hamdy, Mohamed; Sirén, Kai
• Is Part Of: Journal of building performance simulation. Volume 9:Issue 4(2016)
• Page Start: 411
• Page End: 430
• Publication Date: 2016-07-03
• Subjects: cost-optimality -- uncertainty -- energy -- buildings -- integrated analysis -- EPBD-recast 2010 -- holistic optimization; 690.0113
• DOI: 10.1080/19401493.2015.1069398
• Languages: English
• ISSNs: 1940-1493

Abstract

Abstract : According to the European Energy Performance of Buildings Directive (EPBD-2010/31/EU), all EU-Member states are obliged to continuously apply analysis on cost-optimal levels of minimum energy performance requirements towards nearly/net zero energy buildings. To perform such techno-economic analysis, a large number of technical/financial assumptions should be covered and possibly billions of design/operation options should be explored. This is computationally expensive. This study introduces a novel multi-aid optimization scheme (MAOS) for supporting robust cost-optimal decisions on energy-performance levels of buildings. The scheme's feature is reduction of the computational cost by avoiding time-consuming simulations through the use of post-processing and/or simplified models (when possible), while holistic optimization is adopted for considering multivariate interactions between possible design/operation options and financial/technical assumptions. The effectiveness of MAOS is demonstrated by optimizing a single-family house under 108-financial scenarios, where more than 1.6 10 solutions would be possible. The results show significant (∼95%) time reduction compared with those of the usual simulation-based optimization approach.