将大规模经济-环境-能源耦合评估和协同优化纳入可持续产品足迹管理:一种图表辅助的生命周期能效提高方法

IF 10.9 1区 工程技术 Q1 ENERGY & FUELS Energy Conversion and Management Pub Date : 2025-04-01 Epub Date: 2025-02-14 DOI:10.1016/j.enconman.2025.119616
Tingwei Zhang , Weimin Zhong , Yurong Liu , Renzhi Lu , Xin Peng
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引用次数: 0

摘要

长流程制造业的产品足迹管理策略普遍缺乏对经济足迹、排放足迹和能源足迹之间相互作用的系统分析,导致错失节能减排机会。据此,本文构建了产品经济-环境-能源足迹耦合评估与协同优化框架,实现了更精确的定量分析,显著降低了产品碳足迹。具体而言,基于生命周期成本(LCC)分析、生命周期评估(LCA)和多区域投入产出(MRIO)方法设计了一个集成模型,以准确跟踪成本、能源消耗和二氧化碳排放。鉴于“端到端”足迹评估方法通常无法区分生产过程中高成本、排放和能源消耗的来源,本文引入了一种基于子过程的足迹耦合评估方法,系统地衡量每种产品的经济、环境和能源影响。建立了基于图的低碳节能生产布局多目标优化框架,充分挖掘节能减排、节约成本的潜力。将所提出的模型和方法应用于实际炼油厂生产现场的案例研究表明,集中的碳转化、分配和二次释放是高排放的主要原因。优化布局后,柴油的能源足迹和排放足迹分别下降71.4%和73.9%,节能减排潜力巨大。构建的低碳节能生产布局优化框架显著降低了产品的综合足迹,有利于炼油厂的绿色转型。
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Incorporating large-scale economic-environmental-energy coupling assessment and collaborative optimization into sustainable product footprint management: A graph-assisted life cycle energy efficiency enhancement approach
Product footprint management strategies for long-process manufacturing industries generally lack systematic analysis of the interactions between economic, emission, and energy footprints, leading to missed energy conservation and emission reduction opportunities. Accordingly, this paper develops a product economic-environmental-energy footprint coupling assessment and collaborative optimization framework, enabling more precise quantitative analysis and significantly reducing product carbon footprint. Specifically, an integrated model based on Life Cycle Cost (LCC) analysis, Life Cycle Assessment (LCA), and Multi-Regional Input-Output (MRIO) methods is designed to track the costs, energy consumption, and CO2 emissions accurately. Given that “end-to-end” footprint assessment methods generally failing to distinguish the sources of high costs, emissions, and energy consumption within the production process, a sub-process-based footprint coupling assessment method is introduced to systematically measure each product’s economic, environmental, and energy impacts. Furthermore, a graph-based multi-objective optimization framework for low-carbon and energy-efficient production layout is established to fully explore the potential for energy conservation, emission reduction, and cost savings. A case study applying the proposed model and methodology to a real-world refinery production site demonstrates that concentrated carbon conversion, allocation, and secondary release are the primary causes of high emissions. After layout optimization, diesel oil’s energy and emission footprints decreased by 71.4% and 73.9%, respectively, showing substantial energy conservation and emission reduction potential. The constructed low-carbon and energy-efficient production layout optimization framework significantly reduces the comprehensive footprint of products and contributes to the green transformation of the refineries.
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来源期刊
Energy Conversion and Management
Energy Conversion and Management 工程技术-力学
CiteScore
19.00
自引率
11.50%
发文量
1304
审稿时长
17 days
期刊介绍: The journal Energy Conversion and Management provides a forum for publishing original contributions and comprehensive technical review articles of interdisciplinary and original research on all important energy topics. The topics considered include energy generation, utilization, conversion, storage, transmission, conservation, management and sustainability. These topics typically involve various types of energy such as mechanical, thermal, nuclear, chemical, electromagnetic, magnetic and electric. These energy types cover all known energy resources, including renewable resources (e.g., solar, bio, hydro, wind, geothermal and ocean energy), fossil fuels and nuclear resources.
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