Imperial College London

DrMiaoGuo

Faculty of EngineeringDepartment of Chemical Engineering

Honorary Lecturer
 
 
 
//

Contact

 

+44 (0)20 7594 5705miao.guo

 
 
//

Location

 

E453AACE ExtensionSouth Kensington Campus

//

Summary

 

Publications

Publication Type
Year
to

85 results found

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

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

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 CO2 utilization within Mega-Methanol (MM) production?, JOURNAL OF CO2 UTILIZATION, Vol: 45, ISSN: 2212-9820

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

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

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, Pages: 100002-100002, ISSN: 2666-7924

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, ISBN: 9781788014458

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, Life Cycle Inventory and Assessment Datasets on the Operational Sustainability of the Ammonia Process, DATA IN BRIEF, Vol: 30, ISSN: 2352-3409

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

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

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

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

Tao Y, Ersahin ME, Ghasimi DSM, Ozgun H, Wang H, Zhang X, Guo M, Yang Y, Stuckey DC, van Lier JBet al., 2020, Biogas productivity of anaerobic digestion process is governed by a core bacterial microbiota, CHEMICAL ENGINEERING JOURNAL, Vol: 380, ISSN: 1385-8947

Journal article

Upcraft T, Johnson R, Finnigan T, Hallett J, Guo Met al., 2020, Protein from Renewable Resources: Mycoprotein Production from Agricultural Residues, Editors: Pierucci, Manenti, Bozzano, Manca, Publisher: ELSEVIER SCIENCE BV, Pages: 985-990

Book chapter

Durkin A, Millan-Agorio M, Guo M, 2020, Process Systems Design Framework for Resource Recovery from Wastewater, Editors: Pierucci, Manenti, Bozzano, Manca, Publisher: ELSEVIER SCIENCE BV, Pages: 1039-1044

Book chapter

Robles I, Guo M, 2020, Development of Systems Modelling Framework for Waste-to-Resource Transformation, Editors: Pierucci, Manenti, Bozzano, Manca, Publisher: ELSEVIER SCIENCE BV, Pages: 1597-1602

Book chapter

Upcraft T, Guo M, 2020, Phytoremediation value chains and modeling, Sustainable Remediation of Contaminated Soil and Groundwater, Publisher: Elsevier, Pages: 325-366, ISBN: 9780128179826

Book chapter

Kong Q, Kuriyan K, Shah N, Guo Met al., 2019, Development of a responsive optimisation framework for decision-making in precision agriculture, Computers and Chemical Engineering, Vol: 131, ISSN: 0098-1354

Emerging digital technologies and data advances (e.g. smart machinery, remote sensing) not only enable Agriculture 4.0 to envisage interconnected agro-ecosystems and precision agriculture but also demand responsive decision-making. This study presents a mathematical optimisation model to bring real-time data and information to precision decision-support and to optimise short-term farming operation. To achieve responsive decision-support, we proposed two meta-heuristic algorithms i.e. a tailored genetic algorithm and a hybrid genetic-tabu search algorithm for solving the deterministic optimisation. The developed responsive optimisation framework has been applied to a hypothetical case study to optimise sugarcane harvesting in the KwaZulu Natal region in South Africa. In comparison with the optimal solutions derived from the exact algorithm, the proposed meta-heuristic methods lead to near optimal solutions (less than 5% from optimality) and significantly reduced computational time by over 95%. Our results suggest that the tailored genetic algorithm enables rapid solution searching but the solution quality on sugarcane harvesting cannot compete with the exact method. The hybrid genetic-tabu search algorithm achieved a good trade-off between computational time reduction and solution optimality, demonstrating the potential to enhance responsive decision making in precision sugarcane farming. Our research highlights the development of the responsive optimisation framework combining mixed integer linear programming and hybrid meta-heuristic search algorithms and its applications in real-time decision-making under Agriculture 4.0 vision.

Journal article

O'Connor D, Zheng X, Hou D, Shen Z, Li G, Miao G, O'Connell S, Guo Met al., 2019, Phytoremediation: Climate change resilience and sustainability assessment at a coastal brownfield redevelopment, ENVIRONMENT INTERNATIONAL, Vol: 130, ISSN: 0160-4120

Journal article

This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.

Request URL: http://wlsprd.imperial.ac.uk:80/respub/WEB-INF/jsp/search-html.jsp Request URI: /respub/WEB-INF/jsp/search-html.jsp Query String: respub-action=search.html&id=00480014&limit=30&person=true