Approach to manage parameter and choice uncertainty in life cycle optimisation of building design: Case study of optimal insulation thickness

Ylmén, Peter; Mjörnell, Kristina; Berlin, Johanna; Arfvidsson, Jesper

doi:10.1016/j.buildenv.2020.107544

Cited by 13 publications

(3 citation statements)

References 25 publications

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“…The calculation of the carbon emissions of the whole building process is the research focus of the low-carbon building evaluation system. At present, the process analysis method [23] is a common method for carbon emission chemical analysis in the international community. This method splits the production process according to the process flow; it uses the product of the measured carbon emission coefficient and the corresponding carbon emission source activity data to express the carbon emissions generated by each process and then calculates the total carbon emissions of the whole process according to the carbon emissions of each process.…”

Section: Methods To Determine Carbon Emissions Of Roof Insulationmentioning

confidence: 99%

Low-Carbon Optimization Design for Low-Temperature Granary Roof Insulation in Different Ecological Grain Storage Zones in China

Li,

Huang,

Guo

et al. 2023

Sustainability

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The optimization design of buildings is very important to the energy consumption, carbon emissions, and sustainable development of buildings. The low-temperature granary has a low grain storage temperature and high energy consumption indexes. The design scheme of the roof insulation for a low-temperature granary should be determined in actual building design processes by considering the costs, carbon emissions, and outdoor climate, comprehensively. In this paper, a new low-carbon optimization design method is proposed for the roof insulation in the low-temperature granary. The low-carbon optimization design method can respond to the cost issue, emission reduction issue, and outdoor climate issue, simultaneously. Moreover, the low-temperature granary roof insulation of different ecological grain storage zones in China is optimized in terms of carbon reduction by using the proposed low-carbon optimization design method. The application results of the optimization design method in different ecological grain storage zones in China indicate that the outdoor climate has significant impacts on the economic performance and carbon reduction effect of roof insulation. The cost considerations related to carbon emissions can apparently increase the economic efficiency of roof insulation. The optimal economic thicknesses of expanded polystyrene (EPS) in the cities of Urumqi, Harbin, Zhengzhou, Changsha, Guiyang, and Haikou are 0.025 m, 0.037 m, 0.085 m, 0.097 m, 0.072 m, and 0.148 m, respectively. The different outdoor climates of the seven ecological grain storage areas in China have important influences on the comprehensive economic performances of low-temperature granary roof insulation. The design of the low-temperature granary roof insulation in Haikou city has the best economic performance among the seven ecological grain storage zones in China.

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Section: Methods To Determine Carbon Emissions Of Roof Insulationmentioning

confidence: 99%

Low-Carbon Optimization Design for Low-Temperature Granary Roof Insulation in Different Ecological Grain Storage Zones in China

Li,

Huang,

Guo

et al. 2023

Sustainability

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“…Since the individual eco-indicators of the LCA (GWP, AP, PENRT and PERT) have different significance on the overall ecological building performance, they are weighted with significance factors to determine one weighted LCA environmental impact value according to the DGNB system [54]. It is difficult to find single optimal solutions in multi-criteria optimization studies when not assigning weights to the evaluation objectives [55]. Therefore, the framework allows the decision maker to assign relative weightings to the performance factors, enabling the design team to give preferences in the design search.…”

Section: Grading System For Performance Comparison Of Different Build...mentioning

confidence: 99%

Parametric Optimization and Decision Support Model Framework for Life Cycle Cost Analysis and Life Cycle Assessment of Flexible Industrial Building Structures Integrating Production Planning

et al. 2022

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Most industrial buildings have a very short lifespan due to frequently changing production processes. The load-bearing structure severely limits the flexibility of industrial buildings and is a major contributor to their costs, carbon footprint and waste. This paper presents a parametric optimization and decision support (POD) model framework that enables automated structural analysis and simultaneous calculation of life cycle cost (LCC), life cycle assessment (LCA), recycling potential and flexibility assessment. A method for integrating production planning into early structural design extends the framework to consider the impact of changing production processes on the footprint of building structures already at an early design stage. With the introduction of a novel grading system, design teams can quickly compare the performance of different building variants to improve decision making. The POD model framework is tested by means of a variant study on a pilot project from a food and hygiene production facility. The results demonstrate the effectiveness of the framework for identifying potential economic and environmental savings, specifying alternative building materials, and finding low-impact industrial structures and enclosure variants. When comparing the examined building variants, significant differences in the LCC (63%), global warming potential (62%) and flexibility (55%) of the structural designs were identified. In future research, a multi-objective optimization algorithm will be implemented to automate the design search and thus improve the decision-making process.

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“…In the last decade, MOEAs were widely applied in the building industry to solve MOO problems, which often include objectives such as operational energy performance [9][10][11], thermal comfort [9,10,12], daylight conditions [13,14], life cycle assessment (LCA) [11,[15][16][17][18][19] and life cycle cost (LCC) [10,[17][18][19]. This directly indicates the benefit of investigating MOO problems in the praxis of the building industry.…”

Section: Introductionmentioning

confidence: 99%

Decision-making under uncertainty in the early phase of building façade design based on multi-objective stochastic optimization

Zong

Margesin

Staudt

et al. 2022

Building and Environment

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Approach to manage parameter and choice uncertainty in life cycle optimisation of building design: Case study of optimal insulation thickness

Cited by 13 publications

References 25 publications

Low-Carbon Optimization Design for Low-Temperature Granary Roof Insulation in Different Ecological Grain Storage Zones in China

Low-Carbon Optimization Design for Low-Temperature Granary Roof Insulation in Different Ecological Grain Storage Zones in China

Parametric Optimization and Decision Support Model Framework for Life Cycle Cost Analysis and Life Cycle Assessment of Flexible Industrial Building Structures Integrating Production Planning

Decision-making under uncertainty in the early phase of building façade design based on multi-objective stochastic optimization

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