制定相应生命周期评估的方法框架,并将其应用于植物蛋白提取

IF 10.9 1区 环境科学与生态学 Q1 ENVIRONMENTAL STUDIES
Jannatul Ferdous , Farid Bensebaa , Kasun Hewage , Pankaj Bhowmik , Nathan Pelletier
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引用次数: 0

摘要

后果生命周期评估(CLCA)可以发挥重要作用,为决策者提供有关产品系统变化可能对市场造成的资源/环境后果的见解。然而,由于缺乏通用指南,CLCA 的持续应用遇到了挑战。本系统性综述研究了不同的文献集,以加拿大为例,为通过分馏提取植物蛋白的 CLCA 制定了方法框架。鉴于经济模型是 CLCA 不可或缺的组成部分,本系统性综述对 18 项 CLCA 研究中采用的经济模型进行了全面调查,揭示了它们各自的优缺点。值得注意的是,该研究确定了可计算一般均衡模型和部分均衡模型的使用,以便对大规模和长期变化进行分析。对土地利用变化(包括直接和间接变化)的估算是不可或缺的一部分,而经济模型则有助于量化间接土地利用变化。为了解农业食品行业常见建模方法的特点,我们审查了 33 项 CLCA 研究,以提取有关决策背景、时间跨度、边际/可替代市场的确定、不确定性和敏感性分析等方面的信息。发现 "增加供应 "和 "增加需求 "都是重要的决策背景。通常的做法是根据假设、文献和其他来源确定边际市场,并在某些情况下使用经济模型。然而,在农业食品研究中,经济模型更多地被用于估算土地利用变化的影响。为了详细阐述植物蛋白提取(即豌豆分馏)案例研究,确定了豌豆分馏过程中副产品的一些替代用途,作为确定可能的边际市场的基础。在这些发现的基础上,审查最终提出了一个适用于豌豆分馏的 CLCA 详细方法框架,其中纳入了围绕利用豌豆淀粉和豌豆纤维等副产品的边际市场的考虑因素。未来的研究可侧重于确定与加拿大地貌相关的边缘市场,从而提高加拿大豌豆分馏法在该地区的适用性和相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing a methodological framework for consequential life cycle assessment with an illustrative application to plant protein extraction

Consequential Life Cycle Assessment (CLCA) can play an important role in providing insights for decision-makers regarding potential market-mediated resource/environmental consequences stemming from changes in product systems. However, the consistent application of CLCA encounters challenges due to the absence of common guidelines. This systematic review studied different sets of literature to develop a methodological framework for CLCA of plant protein extraction through fractionation, using Canada as an example. Given that economic models are integral components of CLCA, this systematic review offers a comprehensive survey of the economic models employed in 18 CLCA studies, shedding light on their respective strengths and weaknesses. Notably, the study identifies the use of both Computable General Equilibrium and Partial Equilibrium models for enabling the analysis of large-scale and long-term changes. The estimation of land use changes (both direct and indirect) is an integral part and economic models are instrumental in quantifying indirect land use changes. For characterizing the common modelling practices in the agri-food sector, 33 CLCA studies were reviewed to extract information on the decision context, time horizon, identification of marginal/substitutable markets, uncertainty and sensitivity analyses, etc. ‘Increased supply’ and ‘increased demand’ are both found to be important decision contexts. It is a common practice to identify marginal markets based on assumptions, literature, and other sources along with employing economic models for some cases. However, economic models in the agri-food studies were used more often for estimating land use change impacts. To elaborate the case study of plant protein extraction (i.e., pea fractionation), some of the alternative uses of the co-products of pea fractionation processes as a basis for determining probable marginal markets were identified. Building upon these findings, the review culminates in the proposal of a detailed methodological framework for CLCA applied to pea fractionation, incorporating considerations of marginal markets that revolve around utilizing co-products like pea starch and pea fibre. Future research could focus on identifying marginal markets relevant to the Canadian landscape, thereby enhancing the applicability and relevance of CLCA within this region.

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来源期刊
Sustainable Production and Consumption
Sustainable Production and Consumption Environmental Science-Environmental Engineering
CiteScore
17.40
自引率
7.40%
发文量
389
审稿时长
13 days
期刊介绍: Sustainable production and consumption refers to the production and utilization of goods and services in a way that benefits society, is economically viable, and has minimal environmental impact throughout its entire lifespan. Our journal is dedicated to publishing top-notch interdisciplinary research and practical studies in this emerging field. We take a distinctive approach by examining the interplay between technology, consumption patterns, and policy to identify sustainable solutions for both production and consumption systems.
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