Optimizing ventilation systems considering operational and embodied emissions with life cycle based method

IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Peng Liu , Jens Tønnesen , Luis Caetano , Håvard Bergsdal , Maria Justo Alonso , Reidar Kind , Laurent Georges , Hans Martin Mathisen
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Abstract

Efforts to enhance the energy efficiency of heating, ventilation, and air conditioning (HVAC) systems have been bolstered by technical advancements and stringent regulations. However, HVAC systems not only emit during operation due to energy consumption but also have significant embodied emissions, which recent studies show can exceed those of the operational phase. This study introduces an optimization framework aimed at minimizing lifetime emissions—both operational and embodied—for ventilation systems, an area previously underexplored. The optimization framework incorporates detailed calculations of pressure drop, fan power and newly developed life cycle ventilation inventory data with a life cycle assessment perspective.
A case study of ventilation ductwork in a “BREEAM Excellent” certified energy-efficient building in Norway demonstrates the application of this optimization framework. Findings indicate that for this case, optimizing ductwork dimensions can reduce lifetime emissions of the ventilation system by 15 %, compared to the existing designs with an emission intensity of 0.3 kg CO2/kWh. Further, the study examines how the emission intensity of electricity generation and service lifetime influence total emissions, highlighting the growing importance of embodied emissions as electricity generation becomes cleaner. This underscores the necessity of considering both operational and embodied emissions in design decisions. This study presents an optimization tool for low-emissions ventilation design, capable of processing diverse layouts and aiding in decarbonizing ventilation systems towards achieving zero-emission buildings. Future integration with building information modeling (BIM) and artificial intelligence (AI) could further enhance autonomous low-carbon design and decision-making.

Abstract Image

用基于生命周期的方法优化通风系统,同时考虑运行和体现的排放量
技术进步和严格的法规促进了提高供暖、通风和空调(HVAC)系统能源效率的努力。然而,暖通空调系统不仅在运行期间因能源消耗而排放废气,而且还有大量的体现排放,最近的研究表明这些排放可能超过运行阶段的排放。本研究引入了一个优化框架,旨在最大限度地减少通风系统的终生排放(包括运行排放和体现排放),而这一领域此前尚未得到充分探索。该优化框架结合了压降、风机功率和新开发的生命周期通风清单数据的详细计算,并从生命周期评估的角度进行了分析。对挪威一座获得 "英国建筑性能评估体系(BREEAM)卓越 "认证的节能建筑中的通风管道系统进行的案例研究,展示了该优化框架的应用。研究结果表明,在该案例中,与排放强度为 0.3 千克二氧化碳/千瓦时的现有设计相比,优化通风管道系统的尺寸可将通风系统的寿命周期排放量减少 15%。此外,研究还探讨了发电排放强度和服务寿命对总排放量的影响,强调了随着发电变得越来越清洁,内含排放的重要性也在不断增加。这强调了在设计决策中同时考虑运行排放和体现排放的必要性。本研究介绍了一种用于低排放通风设计的优化工具,它能够处理各种布局,并帮助通风系统脱碳,从而实现零排放建筑。未来与建筑信息模型(BIM)和人工智能(AI)的整合将进一步增强自主低碳设计和决策。
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来源期刊
Energy and Buildings
Energy and Buildings 工程技术-工程:土木
CiteScore
12.70
自引率
11.90%
发文量
863
审稿时长
38 days
期刊介绍: An international journal devoted to investigations of energy use and efficiency in buildings Energy and Buildings is an international journal publishing articles with explicit links to energy use in buildings. The aim is to present new research results, and new proven practice aimed at reducing the energy needs of a building and improving indoor environment quality.
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