Resilient and Sustainable Biorenewable Systems Engineering Model (ReSBio)

弹性和可持续的生物可再生系统工程模型（ReSBio）

• 批准号: EP/N034740/1
• 负责人: Miao Guo
• 金额: $ 41.61万
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FN034740%2F1
• 关键词: Resilient; Sustainable; Biorenewable; Systems; Engineering

Driven by a range of environmental challenges e.g. climate change, energy and material insecurity, a transition from the current fossil-based to a future bio-based economy is expected to evolve progressively and bring a post-petroleum era. The UK government has set out transition policies and strategies to adapt to and mitigate future environmental change and biorenewable carbon resources will play a significant role to meet UK 2050 greenhouse gas reduction targets and support national adaptation efforts. The current EU bioeconomy is estimated to be worth around 2 trillion euros and a wide range of bio-products generated from biomass resources bring great potential. Unlike other renewable sources e.g. tidal or wind energy, biomass provides flexible options to overcome supply instability and un-predictability by deriving thermal and electrical energy on demand and offering potential for transport fuel or bio-chemical generation. Resource assessment shows that the UK biomass could meet almost half of domestic energy needs by 2050 without compromising land use. Biomass-derived value-added chemicals also represent a significant market; with current annual turnover of £60 billion, the UK chemical sector is described as the 'heart of the green economy development'. Such plethora of bio-renewable products can be converted efficiently and sustainably via well-designed integrated biorefinery systems. However, human use of and impacts on the biosphere are now exceeding the multiple environmental limits. Thus the future biorenewable deployment calls for an quantitative transition modelling tool bringing resilience and sustainability thinking approach in biorenewable system design to increase the overall capacity for tackling environmental stresses or socio-economic changes over the coming decades.This project aims to develop an open-source biorenewable system model from user-perspectives and provide insights into sustainable design of the future biorenewable systems, which best adapt to and mitigate future changes, contribute to UK sustainability and resilience agenda and support bioeconomy evolution. Under ReSBio, seven research streams are organized in work packages (WP) that run in parallel.WP1 will engage policy-makers, industrial stakeholders, scientists and engineers to scope the model context and objectives under UK sustainability and resilience context and define the model functions, indicators, boundaries, and case studies from user perspectives. Building on WP1 model functional specifications, WP2 focuses on the open-source model development with the user-oriented architecture and integrating sustainability evaluation, biogeochemistry models and optimisation model. WP3 expands the WP2 work and highlights the biomass resource modelling and agro-ecosystem C/N cycle simulation by building empirical database and re-parameterising the plant growth sub-model. WP4 focuses on the environmental and economic performance evaluation of the promising technologies and the biorefinery system integration configurations. WP5 aims to explore strategic design of representative UK case studies over multiple time periods under future environmental changes and demographic and economic trends. WP6 will adapt and apply the developed model in representative overseas case studies which are of relevance to the UK. To ensure ReSBio impacts, WP7 is dedicated to research output synthesis and project dissemination. ReSBio will help to understand the research merit of biomass and conversion technologies for UK biorenewable value chains under future changes and identify the sustainable and resilient design for UK biorenewables systems over next decades. ReSBio will generate new insights into the biorenewable potential in future UK infrastructure transition strategies and bio-economy.

在气候变化、能源和材料不安全等一系列环境挑战的推动下，预计从目前的化石经济向未来的生物经济的过渡将逐步发展，并带来一个后石油时代。英国政府已经制定了过渡政策和战略，以适应和缓解未来的环境变化，生物可再生碳资源将在实现英国2050年温室气体减排目标和支持国家适应努力方面发挥重要作用。目前欧盟生物经济的价值估计约为2万亿欧元，生物质资源产生的各种生物产品带来了巨大的潜力。与潮汐能或风能等其他可再生能源不同，生物质提供了灵活的选择，通过按需获取热能和电能，并提供运输燃料或生物化学发电的潜力，克服供应不稳定和不可预测性。资源评估表明，到2050年，英国生物质可以满足近一半的国内能源需求，而不影响土地使用。生物质衍生的增值化学品也是一个重要的市场;目前英国化学品行业的年营业额为600亿英镑，被称为“绿色经济发展的核心”。通过精心设计的综合生物精炼系统，可以有效和可持续地转化这种过多的生物可再生产品。然而，人类对生物圈的利用和影响现在已经超过了多种环境极限。因此，未来生物可再生系统的部署需要一个量化的过渡建模工具，将弹性和可持续性思维方法引入生物可再生系统设计中，以提高应对未来几十年环境压力或社会经济变化的整体能力。本项目旨在从用户角度开发一个开源的生物可再生系统模型，并为未来生物可再生系统的可持续设计提供见解，最好地适应和缓解未来的变化，有助于英国的可持续性和弹性议程，并支持生物经济的发展。在ReSBio下，七个研究流被组织在并行运行的工作包（WP）中。WP 1将让政策制定者、工业利益相关者、科学家和工程师参与英国可持续性和韧性背景下的模型背景和目标范围，并从用户角度定义模型功能、指标、边界和案例研究。基于WP 1模型功能规范，WP 2专注于开源模型开发，具有面向用户的架构，并集成了可持续性评估，生物化学模型和优化模型。WP 3在WP 2的基础上，通过建立经验数据库和重新参数化植物生长子模型，突出了生物量资源模拟和农业生态系统C/N循环模拟。WP 4侧重于有前途的技术和生物炼制系统集成配置的环境和经济性能评估。WP 5旨在探索在未来环境变化以及人口和经济趋势下的多个时间段内具有代表性的英国案例研究的战略设计。WP 6将在与英国相关的代表性海外案例研究中采用和应用所开发的模型。为了确保ReSBio的影响，WP 7致力于研究成果合成和项目传播。ReSBio将有助于了解未来变化下英国生物可再生价值链的生物质和转化技术的研究价值，并确定未来几十年英国生物可再生系统的可持续和弹性设计。ReSBio将为未来英国基础设施转型战略和生物经济的生物可再生潜力提供新的见解。

项目成果

Multi-level system modelling of the resource-food-bioenergy nexus in the global south

• DOI: 10.1016/j.energy.2020.117196
• 发表时间: 2020-04
• 期刊: Energy
• 影响因子: 9
• 作者: M. Guo;K. V. Dam;Noura Ouazzani Touhami;Rémy Nguyen;Florent Delval;C. Jamieson;N. Shah

Spatially-explicit projection of future microbial protein from lignocellulosic waste

木质纤维素废物中未来微生物蛋白的空间显式预测

• DOI: 10.1016/j.crbiot.2022.10.008
• 发表时间: 2022
• 期刊: Current Research in Biotechnology
• 影响因子: 5.6
• 作者: Chen L

Can closed-loop microbial protein provide sustainable protein security against the hunger pandemic?

闭环微生物蛋白能否提供可持续的蛋白质安全来应对饥饿大流行？

• DOI: 10.1016/j.crbiot.2022.09.001
• 发表时间: 2022
• 期刊: Current Research in Biotechnology
• 影响因子: 5.6
• 作者: Durkin A

Linkage of community composition and function over short response time in anaerobic digestion systems with food fermentation wastewater.

厌氧消化系统中短响应时间内群落组成和功能与食品发酵废水的联系

• DOI: 10.1016/j.isci.2021.102958
• 发表时间: 2021-09-24
• 期刊: iScience
• 影响因子: 5.8
• 作者: Cai W;Zhao M;Kong J;Riggio S;Finnigan T;Stuckey D;Guo M
• 通讯作者: Guo M

Advances in biorenewables-resource-waste systems and modelling

• DOI: 10.1016/j.ccst.2023.100142
• 发表时间: 2023-09
• 期刊: Carbon Capture Science & Technology
• 作者: Miao Guo;Chunfei Wu;Stephen Chapman;Xi Yu;Tom Vinestock;A. Hastings;Philip Smith;Nilay Shah-Nilay-Sh