One significant challenge in lightweight modular integrated construction (MIC) is to determine the optimal performance of external wall to minimize life-cycle energy consumption, economic costs, and environmental impact (3E). This study compares 3E-objective and single-objective
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One significant challenge in lightweight modular integrated construction (MIC) is to determine the optimal performance of external wall to minimize life-cycle energy consumption, economic costs, and environmental impact (3E). This study compares 3E-objective and single-objective optimization methods for determining the optimal thickness of MIC across five distinct climatic zones in China. Additionally, it analyzes how factors like heating, ventilation, and air conditioning (HVAC) operational duration, climate change, grid emission factors, and building lifespan affect the optimal thickness. Results reveal that the 3E-objective optimization method achieves the highest cost-benefit ratio in carbon reduction, outperforming the energy or environmental method. Lightweight external walls, with low thermal mass, have an optimal thickness deviating from the current nearly zero-energy building standard, with deviations reaching up to 200 mm in optimal thickness. Reduced HVAC operational duration, global warming, decreased grid emission factors, and extended building lifespan contribute to a potential reduction in the optimal wall thickness by up to 140 mm. These deviations in the configuration of these factors, although they may lower life-cycle cost investments compared to the optimal thickness, could potentially be unfavorable or detrimental to reduce life-cycle energy consumption and carbon emissions. The deviation in HVAC operational duration exhibits the most significant impact on life-cycle 3E results, reaching up to 8.4 %. Climate change has a relatively minimal impact on the life-cycle 3E results. This research can advance the cost-benefit ratio in carbon emission reduction of MIC and highlight the need for flexible building standards to accommodate climatic and operational variations.@en