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Sustainability 2017, 9(12), 2353; https://doi.org/10.3390/su9122353

Simulation-Based Multiobjective Optimization of Timber-Glass Residential Buildings in Severe Cold Regions

1,2
,
1,2
and
1,2,*
1
School of Architecture, Harbin Institute of Technology, Harbin 150001, China
2
Heilongjiang Cold Region Architectural Science Key Laboratory, Harbin 150001, China
*
Author to whom correspondence should be addressed.
Received: 30 November 2017 / Revised: 11 December 2017 / Accepted: 14 December 2017 / Published: 17 December 2017
(This article belongs to the Special Issue Achieving a Sustainable Future Using Renewable Materials in Buildings)
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Abstract

In the current context of increasing energy demand, timber-glass buildings will become a necessary trend in sustainable architecture in the future. Especially in severe cold zones of China, energy consumption and the visual comfort of residential buildings have attracted wide attention, and there are always trade-offs between multiple objectives. This paper aims to propose a simulation-based multiobjective optimization method to improve the daylighting, energy efficiency, and economic performance of timber-glass buildings in severe cold regions. Timber-glass building form variables have been selected as the decision variables, including building width, roof height, south and north window-to-wall ratio (WWR), window height, and orientation. A simulation-based multiobjective optimization model has been developed to optimize these performance objectives simultaneously. The results show that Daylighting Autonomy (DA) presents negative correlations with Energy Use Intensity (EUI) and total cost. Additionally, with an increase in DA, Useful Daylighting Illuminance (UDI) demonstrates a tendency of primary increase and then decrease. Using this optimization model, four building performances have been improved from the initial generation to the final generation, which proves that simulation-based multiobjective optimization is a promising approach to improve the daylighting, energy efficiency, and economic performances of timber-glass buildings in severe cold regions. View Full-Text
Keywords: timber-glass building; multiobjective optimization; daylighting; energy consumption; total cost; severely cold region timber-glass building; multiobjective optimization; daylighting; energy consumption; total cost; severely cold region
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Han, Y.; Yu, H.; Sun, C. Simulation-Based Multiobjective Optimization of Timber-Glass Residential Buildings in Severe Cold Regions. Sustainability 2017, 9, 2353.

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