Imperial College London

DrMiaoGuo

Faculty of EngineeringDepartment of Chemical Engineering

Honorary Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 5705miao.guo

 
 
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Location

 

E453AACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Publication Type
Year
to

107 results found

Guo M, Wu C, Chapman S, Yu X, Vinestock T, Hastings A, Smith P, Shah Net al., 2023, Advances in biorenewables-resource-waste systems and modelling, Carbon Capture Science & Technology, Vol: 9

The transformation to a resource-circular bio-economy offers a mechanism to mitigate climate change and environmental degradation. As advanced bioeconomy components, biorenewables derived from terrestrial, aquatic biomass and waste resources are expected to play significant roles over the next decades. This study provides an overview of potential biomass resources ranging from higher plant species to phototrophic microbial cluster, and their fundamental photosynthesis processes as well as biogeochemical carbon cycles involved in ecosystems. The review reflects empirical advances in conversion technologies and processes to manufacture value-added biorenewables from biomass and waste resources. The nexus perspective of resource-biorenewable-waste has been analysed to understand their interdependency and wider interaction with environmental resources and ecosystems. We further discussed the systems perspectives of biorenewables to develop fundamental understanding of resource flows and carbon cycles across biorenewable subsystems and highlight their spatial and temporal variability. Our in-depth review suggested the system challenges of biorenewable, which are subject to nonlinearity, variability and complexity. To unlock such system complexity and address the challenges, a whole systems approach is necessary to develop fundamental understanding, design novel biorenewable solutions. Our review reflects recent advances and prospects of computational methods for biorenewable systems modelling. This covers the development and applications of first principle models, process design, quantitative evaluation of sustainability and ecosystem services and mathematical optimisation to improve design, operation and planning of processes and develop emerging biorenewable systems. Coupling these advanced computational methods, a whole systems approach enables a multi-scale modelling framework to inherently link the processes and subsystems involved in biomass ecosystems and biorenew

Journal article

Sun X, Durkin A, Guo M, 2023, Life cycle optimisation tool development for process systems and centralised supply chain design, RSC Sustainability, Vol: 1, Pages: 2224-2240

Historically, optimisation processes for supply chains have primarily focused on maximising economic objectives. However, with the challenges posed by climate change, there has been a shift towards integrating environmental considerations into optimisation processes alongside economic criteria, which can be facilitated by life cycle assessment. This approach enables supply chain managers to move beyond solely analysing emissions from individual plants, instead considering all life cycle stages. Yet, despite the advancements made in incorporating environmental considerations, the challenge lies in identifying the most effective improvement strategies and selecting optimal alternatives within decision environments characterised by multiple and often conflicting objectives. Real-life scenarios frequently demand simultaneous economic and environmental criteria considerations to ensure products' sustainability over their entire life cycle. Striking a delicate balance between these divergent objectives requires careful evaluation, innovative solutions, and robust decision-making processes. One of the solutions is combining multi-objective optimisation with life cycle assessment because of its ability to balance environmental and economic performance. By leveraging this approach, decision-makers can navigate the trade-offs between these two crucial aspects, empowering them to select the most appropriate solution that aligns with their specific requirements, constraints, and objectives. A decision-aid toolkit has been developed in this paper and validated using a real-life case study focused on electricity generation in the UK. This practical application showcases the methodology's effectiveness and provides tangible evidence of its potential to drive improvements in the real world.

Journal article

Uma VS, Usmani Z, Sharma M, Diwan D, Sharma M, Guo M, Tuohy MG, Makatsoris C, Zhao X, Thakur VK, Gupta VKet al., 2023, Valorisation of algal biomass to value-added metabolites: emerging trends and opportunities, PHYTOCHEMISTRY REVIEWS, Vol: 22, Pages: 1015-1040, ISSN: 1568-7767

Journal article

Liu Y, Zuo Z, Li H, Xing Y, Cheng D, Guo M, Liu T, Zheng M, Yuan Z, Huang Xet al., 2023, <i>In</i><i>-situ</i> advanced oxidation of sediment iron for sulfide control in sewers, WATER RESEARCH, Vol: 240, ISSN: 0043-1354

Journal article

Kalian AD, Benfenati E, Osborne OJ, Gott D, Potter C, Dorne J-LCM, Guo M, Hogstrand Cet al., 2023, Exploring Dimensionality Reduction Techniques for Deep Learning Driven QSAR Models of Mutagenicity, TOXICS, Vol: 11

Journal article

Errington E, Guo M, Heng JYY, 2023, Synthetic amorphous silica: environmental impacts of current industry and the benefit of biomass-derived silica, Green Chemistry, Vol: 25, Pages: 4244-4259, ISSN: 1463-9262

The production of Synthetic Amorphous Silica (SAS) is a billion-dollar industry. However, very little is shared publicly on the environmental impact of SAS production. This work provides the first complete treatment for the environmental impacts of SAS produced via the existing ‘dry’ and ‘wet’ industrial methods using Life Cycle Assessment (LCA). To provide a more robust method, this includes an evaluation of 8 environmental impact indicators and consideration for uncertainty during process comparison. Predictions are then used to compare the impact of the existing dry and wet methods as well as theoretical methods in which rice husk (RH) is used as a biomass-derived feedstock alternative. Results highlight cases in which using RH as an alternative feedstock is likely to be beneficial. However, it is demonstrated that these benefits are highly dependent on specifics of the process, region, and feedstock characteristics rather than the inherent “green-ness” of RH alone. Findings are therefore of significance to those interested in the existing SAS industry and the sustainable development of SAS. Moreover, findings also have potential implications for wider policy.

Journal article

Lucas E, Guo M, Guillen-Gosalbez G, 2023, Low-carbon diets can reduce global ecological and health costs, NATURE FOOD, Vol: 4, Pages: 394-+

Journal article

Matassa S, Boeckx P, Boere J, Erisman JW, Guo M, Manzo R, Meerburg F, Papirio S, Pikaar I, Rabaey K, Rousseau D, Schnoor J, Smith P, Smolders E, Wuertz S, Verstraete Wet al., 2023, How can we possibly resolve the planet's nitrogen dilemma?, MICROBIAL BIOTECHNOLOGY, Vol: 16, Pages: 15-27, ISSN: 1751-7915

Journal article

Piercy E, Verstraete W, Ellis PR, Banks M, Rockström J, Smith P, Witard OC, Hallett J, Hogstrand C, Knott G, Karwati A, Rasoarahona HF, Leslie A, He Y, Guo Met al., 2022, A sustainable waste-to-protein system to maximise waste resource utilisation for developing food- and feed-grade protein solutions, Green Chemistry, Vol: 25, Pages: 808-832, ISSN: 1463-9262

A waste-to-protein system that integrates a range of waste-to-protein upgrading technologies has the potential to converge innovations on zero-waste and protein security to ensure a sustainable protein future. We present a global overview of food-safe and feed-safe waste resource potential and technologies to sort and transform such waste streams with compositional quality characteristics into food-grade or feed-grade protein. The identified streams are rich in carbon and nutrients and absent of pathogens and hazardous contaminants, including food waste streams, lignocellulosic waste from agricultural residues and forestry, and contaminant-free waste from the food and drink industry. A wide range of chemical, physical, and biological treatments can be applied to extract nutrients and convert waste-carbon to fermentable sugars or other platform chemicals for subsequent conversion to protein. Our quantitative analyses suggest that the waste-to-protein system has the potential to maximise recovery of various low-value resources and catalyse the transformative solutions toward a sustainable protein future. However, novel protein regulation processes remain expensive and resource intensive in many countries, with protracted timelines for approval. This poses a significant barrier to market expansion, despite accelerated research and development in waste-to-protein technologies and novel protein sources. Thus, the waste-to-protein system is an important initiative to promote metabolic health across lifespans and tackle the global hunger crisis.

Journal article

Durkin A, Guo M, Wuertz S, Stuckey DCet al., 2022, Resource recovery from food-processing wastewaters in a circular economy: a methodology for the future, CURRENT OPINION IN BIOTECHNOLOGY, Vol: 76, ISSN: 0958-1669

Journal article

Banks M, Johnson R, Giver L, Bryant G, Guo Met al., 2022, Industrial production of microbial protein products, CURRENT OPINION IN BIOTECHNOLOGY, Vol: 75, ISSN: 0958-1669

Journal article

Errington E, Guo M, Heng JYY, 2022, Environmental Impacts of Rice Husk-Derived Silica under Uncertainty: Is “Bio” better?, Computer Aided Chemical Engineering, Pages: 1615-1620

Millions of tonnes of rice husk (RH) are produced annually as an agricultural waste. One area of interest for RH valorisation is to use rice husk ash (RHA, a by-product of RH combustion) as a replacement for mineral-derived synthetic amorphous silica (M-SAS). However, little information is available on the environmental benefit of this approach. This study details the first evaluation of the environmental benefits of producing RH-derived synthetic amorphous silica (RH-SAS). This is done by describing the life cycle of RH-SAS in terms of stages for which existing life cycle inventories can be linked and aggregated in a modular way. It is then shown how the physical meaning of linkages between modules are governed by both the characteristics of the RH feedstock and efficiencies of processes across the life cycle. To provide more robust findings, the sensitivity of predictions to model uncertainty are also considered. Finally, a case is provided for the benefit of RH-SAS production within the Asia-Pacific (APAC) SAS market.

Book chapter

Durkin A, Millan-Agorio M, Guo M, 2022, Gaussian Processes for Simulation-Based Optimization and Robust Design, Computer Aided Chemical Engineering, Pages: 1243-1248

Gaussian Processes present a versatile surrogate modeling toolbox to address simulation-based optimization and uncertainties arising from non-converged simulations. In this work we present a black-box optimization methodology framework in which Gaussian Process Regression is used to model complex underlying process performance models and Gaussian Process Classification is used to model feasibility constraints based on converged and non-converged simulations. Additionally, we present a conservativeness parameter to enable tuning of the feasible region based on the trade-off between process performance and the risk of infeasibility due to non-converged simulations.

Book chapter

Chen L, Upcraft T, Piercy E, Guo Met al., 2022, Spatially-explicit projection of future microbial protein from lignocellulosic waste, CURRENT RESEARCH IN BIOTECHNOLOGY, Vol: 4, Pages: 544-563, ISSN: 2590-2628

Journal article

Durkin A, Finnigan T, Johnson R, Kazer J, Yu J, Stuckey D, Guo Met al., 2022, Can closed-loop microbial protein provide sustainable protein security against the hunger pandemic?, CURRENT RESEARCH IN BIOTECHNOLOGY, Vol: 4, Pages: 365-376, ISSN: 2590-2628

Journal article

Lucas E, Guo M, Guillen-Gosalbez G, 2021, Optimising diets to reach absolute planetary environmental sustainability through consumers, Sustainable Production and Consumption, Vol: 28, Pages: 877-892, ISSN: 2352-5509

The environmental impacts of food are currently at unsustainable levels. Consumers undoubtedly play a central role in reducing the impacts of the food system to more sustainable levels via dietary changes and food waste reduction. Mathematical optimisation is one approach to identifying less environmentally impactful dietary patterns. A limited number of studies, however, have assessed whether impact reductions offered by optimised diets are enough to remain within planetary boundaries (i.e. attain ‘absolute’ environmental sustainability). Using UK food consumption as a case study, here we employ linear programming to identify nutritionally adequate diets that meet sociocultural acceptability criteria whilst minimising (a) environmental impact transgressions of their allocated share of the safe operating space (SoSOS) for nine planetary boundaries (PBs), (b) cost, or (c) deviation from the current diet. We show that the current diet is unsustainable as it transgresses six or seven PBs, depending on the SoSOS allocation principle. Optimising for minimum SoSOS transgressions yields diets offering significant impact reductions (66 - 95% reduction across all PBs) compared to the current average dietary pattern, but whether they completely mitigate SoSOS transgressions depends on the sharing principle adopted to assign the SoSOS to national food consumption. Additionally, by comparing least-cost and least-transgression solutions, we find a trade-off between cost and environmental sustainability indicating that more sustainable dietary patterns are not currently incentivised by the relative prices of food items in the UK. Our work demonstrates the value in embedding ‘absolute’ sustainability in diet optimisation so that solutions inherently provide a more clear-cut understanding of their broad implications on the environment.

Journal article

Cai W, Zhao M, Kong J, Riggio S, Finnigan T, Stuckey D, Guo Met al., 2021, The linkage between community composition and function over the short-term response period in anaerobic digestion systems with food-fermentation industrial wastewater, iScience, Vol: 24, Pages: 1-14, ISSN: 2589-0042

We investigated the short-term dynamics of microbial composition and function in bioreactorswith inocula collected from full-scale and lab-based AD (anaerobic digestion) systems. TheBray-Curtis dissimilarity of both inocula was approximately 10% of the predicted KEGGpathway and 40% of the taxonomic composition, and yet resulted in a similar performance inmethane production, implying the variation of community composition may be decoupled fromperformance. However, the significant correlation of VFAs with taxonomic variation suggestedthat the pathways of anaerobic digestion could be different due to the varying genus. Thepredicted function of the significantly varying genus was mostly related to fermentation, whichstrengthened the conclusion that most microbial variation occurred within the fermentativespecies and led to alternative routes to result in similar methane production in methanogenicbioreactors. This finding sheds a light on the understanding of AD community regulation,which depends on the aims to recover intermediates or methane.

Journal article

Pasha MK, Dai L, Liu D, Du W, Guo Met al., 2021, Biodiesel production with enzymatic technology: progress and perspectives, BIOFUELS BIOPRODUCTS & BIOREFINING-BIOFPR, Vol: 15, Pages: 1526-1548, ISSN: 1932-104X

Journal article

Upcraft T, Tu W-C, Johnson R, Finnigan T, Van Hung N, Hallett J, Guo Met al., 2021, Protein from renewable resources: mycoprotein production from agricultural residues, GREEN CHEMISTRY, Vol: 23, Pages: 5150-5165, ISSN: 1463-9262

Journal article

Pasha MK, Dai L, Liu D, Guo M, Du Wet al., 2021, An overview to process design, simulation and sustainability evaluation of biodiesel production, BIOTECHNOLOGY FOR BIOFUELS, Vol: 14

Journal article

Jing R, Li Y, Wang M, Chachuat B, Lin J, Guo Met al., 2021, Coupling biogeochemical simulation and mathematical optimisation towards eco-industrial energy systems design, APPLIED ENERGY, Vol: 290, ISSN: 0306-2619

Journal article

Robles I, Durkin A, Guo M, 2021, Stochastic optimisation of organic waste-to-resource value chain, ENVIRONMENTAL POLLUTION, Vol: 273, ISSN: 0269-7491

Journal article

Mahabir J, Bhagaloo K, Koylass N, Boodoo MN, Ali R, Guo M, Ward Ket al., 2021, What is required for resource-circular CO<sub>2</sub> utilization within Mega-Methanol (MM) production?, JOURNAL OF CO2 UTILIZATION, Vol: 45, ISSN: 2212-9820

Journal article

Jing R, Wang J, Shah N, Guo Met al., 2021, Emerging supply chain of utilising electrical vehicle retired batteries in distributed energy systems, ADVANCES IN APPLIED ENERGY, Vol: 1, ISSN: 2666-7924

Journal article

Li Y, Cheng S, Li Z, Song H, Guo M, Li Z, Mang H-P, Xu Y, Chen C, Basandorj D, Zhang L, Li Tet al., 2021, Using system dynamics to assess the complexity of rural toilet retrofitting: Case in eastern China, JOURNAL OF ENVIRONMENTAL MANAGEMENT, Vol: 280, ISSN: 0301-4797

Journal article

Lucas E, Galan-Martin A, Pozo C, Guo M, Guillen-Gosalbez Get al., 2021, Global environmental and nutritional assessment of national food supply patterns: Insights from a data envelopment analysis approach, Science of the Total Environment, Vol: 755, ISSN: 0048-9697

Environmental impactsThe global food system inextricably connects human health and environmental integrity. It holds the transforma-tive capability to significantly reduce levels of environmental degradation, caused by current food productionpractices, and alleviate the ‘triple burden’ of malnutrition, existing due to food consumption patterns. System-wide transitions are therefore paramount to tackling environmental and nutritional challenges that are exacer-bated by a rapidly growing population. This work presents a novel application of Data Envelopment Analysis(DEA) to study the sustainability of food supply patterns around the world and appraise the potential to lowerenvironmental pressure without compromising the supply of calories and nutritional quality. By relating envi-ronmental impacts to caloric availability and nutritional adequacy, DEA computes a relative performance scorefor 139 countries and identifies only 18 countries with per capita food supplies that are ‘efficient’ in transformingfive environmental inputs (land use, greenhouse gas emissions, acidification potential, eutrophication potentialand freshwater withdrawals) into calories and nutrition. The widespread extent of ‘inefficiency’ stresses thatthe significant opportunity and need to reduce environmental impacts from food is truly global and extensive.Results of this analysis also provide quantitative information on the varying degrees of potential to improvethe ways in which each nation's population is fed and therefore offers country-specific insight for decision-makers into the integration of environmental and nutritional outcomes for sustainable development.

Journal article

Narine K, Mahabir J, Koylass N, Samaroo N, Singh-Gryzbon S, Baboolal A, Guo M, Ward Ket al., 2021, Climate smart process design for current and future methanol production, JOURNAL OF CO2 UTILIZATION, Vol: 44, ISSN: 2212-9820

Journal article

Guo M, Shah N, 2021, Chapter 7. Life Cycle Assessment of Sustainable Polymer Packaging, Life Cycle Assessment, Publisher: Royal Society of Chemistry, Pages: 153-177

Book chapter

Feng B, van Dam KH, Guo M, Shah N, Passmore S, Wang Xet al., 2020, Planning of Food-Energy-Water-Waste (FEW2) nexus for sustainable development, BMC Chemical Engineering, Vol: 2

<jats:title>Abstract</jats:title><jats:p>It is critical for reliable infrastructure planning to address the Food-Energy-Water-Waste (FEW2) nexus at system level. This paper presents the applicability of resilience.io platform across water, energy and waste sectors (including food and agricultural waste) with focus on waste-to-energy pathway, aiming to establish the optimal FEW2 nexus based on economic and environmental indicators. A rich array of technology options, including water production facilities, clean energy technologies and waste-to-energy conversions are evaluated to meet the demand of water and energy (mainly gas and electricity), and the treatment requirement of waste and wastewater. A case study of Hunter Region, the largest region in Australia, is presented in this study, featuring the supply and demand context of developed countries. A full set of scenarios, including business-as-usual (BAU), water and wastewater, power plant decommission, waste-to-energy and policy intervention, is created to present FEW2 nexus from the perspective of individual nodes and the whole system. The results signal the benefits of biogas and syngas generation from anaerobic digestion and gasification for waste-to-energy pathway, alongside findings in water and energy sectors. The outcome of this analysis can then form the foundation of regional planning involving relevant stakeholders, with the modelling tools supporting scenario evaluation and collaborative learning to reach consensus in view of different performance indicators including financial and environmental metrics.</jats:p>

Journal article

Jing R, Hastings A, Guo M, 2020, Sustainable design of urban rooftop food-energy-land nexus, iScience, Vol: 23, Pages: 1-34, ISSN: 2589-0042

Urban rooftop functional design offers a promising option to enable multi-function urban land-use to deliver multiple ecosystem services, e.g., food production by rooftop agriculture and energy supply by installing photovoltaic (PV) panels. To identify the best rooftop utilization strategy considering multiple decision criteria and understand the impact of rooftop solution on the design of urban energy systems, we propose a whole system modeling framework that integrates biogeochemical simulation and multi-objective energy system optimization. We apply the framework to evaluate three rooftop agriculture options, namely, basic rooftop farming, unconditioned greenhouse, and conditioned greenhouse, and one rooftop energy supply option, i.e., PV panels, for an urban energy eco-design case in Shanghai, China. Enabling rooftop agriculture options brings more flexibility to the design and operation of energy systems. PV panels provide cost-optimal solutions, whereas conditioned greenhouse potentially delivers environmentally sustainable land-use by contributing to climate regulation ecosystem services.

Journal article

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