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

92 results found

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, ISSN: 2590-2628

Journal article

Errington E, Guo M, Heng JYY, 2022, Synthetic amorphous silica: environmental impacts of current industry and the benefit of biomass-derived silica, GREEN CHEMISTRY, ISSN: 1463-9262

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., Curr Opin Biotechnol, Vol: 75

Microbial proteins provide a sustainable and nutritious alternative to traditional animal and plant-based proteins. Various strains have been demonstrated to generate biomass from a wide variety of substrates, from organic waste (e.g. banana peel) to gases (e.g. methane). Industrial production of microbial protein has proven difficult from both design (e.g. production rate) and regulatory (e.g. allergenicity of product) perspectives for both feed and food-grade products. Through use of low-cost microfluidics devices, early bioprocess design can be intensified, achieving high strain screening throughput with low titres. Integration of industrial waste streams (e.g. flue-gases, lignocellulosic residues) can reduce cost and carbon footprint of feedstock, while bespoke reactor design (e.g. Quorn's airlift U-loop fermenter) can remediate issues of low mass-transfer and product quality.

Journal article

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

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

Uma VS, Usmani Z, Sharma M, Diwan D, Sharma M, Guo M, Tuohy MG, Makatsoris C, Zhao X, Thakur VK, Gupta VKet al., 2022, Valorisation of algal biomass to value-added metabolites: emerging trends and opportunities, Phytochemistry Reviews, ISSN: 1568-7767

Algal biomass is a promising feedstock for sustainable production of a range of value-added compounds and products including food, feed, fuel. To further augment the commercial value of algal metabolites, efficient valorization methods and biorefining channels are essential. Algal extracts are ideal sources of biotechnologically viable compounds loaded with anti-microbial, anti-oxidative, anti-inflammatory, anti-cancerous and several therapeutic and restorative properties. Emerging technologies in biomass valorisation tend to reduce the significant cost burden in large scale operations precisely associated with the pre-treatment, downstream processing and waste management processes. In order to enhance the economic feasibility of algal products in the global market, comprehensive extraction of multi-algal product biorefinery is envisaged as an assuring strategy. Algal biorefinery has inspired the technologists with novel prospectives especially in waste recovery, carbon concentration/sequestration and complete utilisation of the value-added products in a sustainable closed-loop methodology. This review critically examines the latest trends in the algal biomass valorisation and the expansive feedstock potentials in a biorefinery perspective. The recent scope dynamics of algal biomass utilisation such as bio-surfactants, oleochemicals, bio-stimulants and carbon mitigation have also been discussed. The existing challenges in algal biomass valorisation, current knowledge gaps and bottlenecks towards commercialisation of algal technologies are discussed. This review is a comprehensive presentation of the road map of algal biomass valorisation techniques towards biorefinery technology. The global market view of the algal products, future research directions and emerging opportunities are reviewed.

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

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

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

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

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

Increasing electric vehicles (EV) penetration leads to significant challenges in EV battery disposal. Reusing retired batteries in distributed energy systems (DES) offers resource-circular solutions. We propose an optimisation framework to model the emerging supply chains and design strategies for reusing the retired EV batteries in DES. Coupling a supply chain profit-allocation model with a DES design optimisation model, the framework maximises the whole chain profit and enables fair profit distribution between three interactive sectors, i.e., EV, DES, dismantling and recycle (D&R) sectors. Our research highlights the system implications of retired batteries on DES design and new modelling insights into incentive policy effectiveness. Our case study suggests significant potential value chain profits (2.65 million US$) achieved by deploying 10.7 MWh of retired batteries in the DES application with optimal retired battery price of 138 US$/kWh. The revenue support on D&R sector is suggested as a promising incentive scheme than tariff support.

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

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

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

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

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

Samaroo N, Koylass N, Guo M, Ward Ket al., 2020, Achieving absolute sustainability across integrated industrial networks - a case study on the ammonia process, GREEN CHEMISTRY, Vol: 22, Pages: 6547-6559, ISSN: 1463-9262

Journal article

Jaggai C, Imkaraaz Z, Samm K, Pounder A, Koylass N, Chakrabarti DP, Guo M, Ward Ket al., 2020, Towards greater sustainable development within current Mega-Methanol (MM) production, GREEN CHEMISTRY, Vol: 22, Pages: 4279-4294, ISSN: 1463-9262

Journal article

Robles I, O'Dwyer E, Guo M, 2020, Waste-to-Resource value chain optimisation: Combining spatial, chemical and technoeconomic aspects, Water Research, Vol: 178, ISSN: 0043-1354

Due to complex composition of carbohydrates, lipid, protein, cellulose, hemicellulose and lignin, wastewater (WW) and organic fraction municipal solid waste (OFMSW) represent nutrient and carbon rich resources. Conventionally, value chains in the waste sector have considered OFMSW and WW as unwanted by-products as opposed to potential valuable resources. Full exploitation of these resources calls for a value chain transformation towards proactive resource recovery. This study focuses on the waste supply chain optimisation to recover value added products from OFMSW.The research leads to a systems-modelling approach, which integrates spatial data analyses, mathematical mixed integer linear programming (MILP) optimisation and technology performance evaluation to inform the design of waste-to-resource value chains. A UK based study on OFMSW is presented to demonstrate the efficacy of the approach. The study captures variation in OFMSW quantity and composition, incorporating over 600 existing anaerobic digestion (AD) operational plants in the UK, while potential sites for new waste-recovery facilities are identified, accounting for transportation and logistics, using a GIS-based analysis. Key outcomes are analysed (technology type, size, location, logistical connections), placing emphasis on the need to consider the value of the resource recovery potential over the lifetime of an AD or thermochemical treatment facility in the design process. Such an approach offers a promising pathway for tackling the open challenges currently hindering the waste-to-resource transformation.

Journal article

Sadeek S, Chan TL, Ramdath R, Rajkumar A, Guo M, Ward Ket al., 2020, The influence of raw material availability and utility power consumption on the sustainability of the ammonia process, CHEMICAL ENGINEERING RESEARCH & DESIGN, Vol: 158, Pages: 177-192, ISSN: 0263-8762

Journal article

Sadeek S, Chan TL, Ramdath R, Rajkumar A, Guo M, Ward Ket al., 2020, Life Cycle Inventory and Assessment Datasets on the Operational Sustainability of the Ammonia Process, DATA IN BRIEF, Vol: 30, ISSN: 2352-3409

Journal article

Guo M, van Dam KH, Touhami NO, Nguyen R, Delval F, Jamieson C, Shah Net al., 2020, Multi-level system modelling of the resource-food-bioenergy nexus in the global south, Energy, Vol: 197, Pages: 1-12, ISSN: 0360-5442

To meet the demands for resources, food and energy, especially in fast developing countries in the Global South, new infrastructure investments, technologies and supply chains are required. It is essential to manage a transition that minimises the impacts on global environmental degradation while benefits local socio-economic development. Food-bioenergy integration optimising natural capital resources and considering wider environmental and socio-economic sustainability offers a way forward. This study presents an integrative approach enabling whole systems modelling to address the interlinkage and interaction of resource-food-bioenergy systems and optimise supply chains considering poly-centric decision spaces. Life cycle sustainability assessment, optimisation, agent-based modelling and simulation were coupled to build an integrated systems modelling framework applicable to the resource-food-bioenergy nexus. The model building blocks are described before their applications in three case studies addressing agricultural residues and macro-fungi in the Philippines, sugar cane biorefineries in South Africa, and Nipa palm biofuel in Thailand. Our case studies revealed the great potential of untapped biomass including agricultural waste and non-food biomass grown on marginal lands. Two value chain integration case studies – i.e. straw-fungi-energy in Philippines and sugar-energy in Africa – have been suggested as sustainable solutions to recover waste as value-added products to meet food and energy security. Case studies highlight how an integrative modelling framework can be applied to address multi-level questions, taking into account decision-making at different levels, which contribute to an overall sustainability goal.

Journal article

O'Dwyer E, Chen K, Wang H, Wang A, Shah N, Guo Met al., 2020, Optimisation of wastewater treatment strategies in eco-industrial parks: technology, location and transport, Chemical Engineering Journal, Vol: 381, Pages: 1-12, ISSN: 1385-8947

The expanding population and rapid urbanisation, in particular in the Global South, areleading to global challenges on resource supply stress and rising waste generation. A transformation to resource-circular systems and sustainable recovery of carbon-containing andnutrient-rich waste offers a way to tackle such challenges. Eco-industrial parks have thepotential to capture symbioses across individual waste producers, leading to more effectivewaste-recovery schemes. With whole-system design, economically attractive approaches canbe achieved, reducing the environmental impacts while increasing the recovery of high-valueresources. In this paper, an optimisation framework is developed to enable such design,allowing for wide ranging treatment options to be considered capturing both technologicaland financial detail. As well as technology selection, the framework also accounts for spatial aspects, with the design of suitable transport networks playing a key role. A range ofscenarios are investigated using the network, highlighting the multi-faceted nature of theproblem. The need to incorporate the impact of resource recovery at the design stage isshown to be of particular importance.

Journal article

Zhuang R, Wang X, Guo M, Zhao Y, El-Farra NH, Palazoglu Aet al., 2020, Waste-to-hydrogen: Recycling HCl to produce H-2 and Cl-2, APPLIED ENERGY, Vol: 259, ISSN: 0306-2619

Journal article

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