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Towards net-zero manufacture of chilled/refrigerated foods - the case of ready meals

实现冷冻/冷藏食品的净零生产——以即食食品为例

基本信息

批准号：
2889833
负责人：
金额：
--
依托单位：
University of Birmingham
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2023
资助国家：
英国
起止时间：
2023 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2889833
关键词：
Towards net zero manufacture chilled

项目摘要

The Food Industry is the largest manufacture sector in the UK's and the fourthhighest industrial energy user. To contribute to the achievement of UK's zero-carbon emissions targets by 2050, it is critical to act on those hotspots for energydemand and/or GHG emissions. One of these potential areas of action is the foodcold chain - the manufacture and distribution of frozen, refrigerated and chilledfoods is energy intensive and often involves the use of high-GWP (GlobalWarming Potential) refrigerants.In this context, this project aims to identify those food manufacturing scenariosthat would lead to successful strategies for the transition to net-zero food supplychains focusing on chilled foods (e.g., ready meal foods), and working inpartnership with Samworth Brothers. The project will combine techno-economic,environmental and/or policy aspects in an integrated approach for the design andevaluation of decarbonisation solutions, focusing on the comparison of differentmanufacturing paradigms - i.e., centralized vs. distributed manufacture - forspecific ready meals, as exemplar of chilled/refrigerated foods. This approach isbased on the development and implementation of suitable simulation/optimisationand decision-making tools, for which a high level of engineering andcomputational competence, coupled with adequate knowledge of (bio)processsystems is desirable.

食品工业是英国最大的制造部门，也是第四大工业能源用户。为了在2050年之前实现英国的零碳排放目标，对能源需求和/或温室气体排放热点采取行动至关重要。其中一个潜在的行动领域是食品冷链——冷冻、冷藏和冷藏食品的制造和分销是能源密集型的，通常涉及使用高gwp（全球变暖潜值）的制冷剂。在此背景下，该项目旨在确定那些食品制造场景，这些场景将导致向以冷藏食品（例如即食食品）为重点的净零食品供应链过渡的成功战略，并与Samworth兄弟公司合作。该项目将结合技术经济、环境和/或政策方面的综合方法，设计和评估脱碳解决方案，重点是比较不同的生产模式，即集中式生产与分布式生产，以特定的即食食品为例，冷藏/冷藏食品。这种方法是基于适当的模拟/优化和决策工具的开发和实施，为此需要高水平的工程和计算能力，加上足够的（生物）过程系统知识。