Imperial College London

DrMiaoGuo

Faculty of EngineeringDepartment of Chemical Engineering

Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 5705miao.guo

 
 
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Location

 

C410Roderic Hill BuildingSouth Kensington Campus

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Summary

 

Summary

Dr Miao Guo is a EPSRC Research Fellow hosted at CPSE, Department of Chemical Engineering, Imperial College London. She has a multi-disciplinary background, holds a PhD from Department of Life Sciences Imperial College London and a BSc from Renmin University of China. Her transition from Natural Sciences to Chemical Engineering has led to a unique academic path at the engineering-science interface. Her research interests include whole systems modelling and optimization, process-based agro-ecosystem modelling of food/non-food biomass and the environmental modelling of the biomaterials/biofuel/bioenergy from renewable resources. Her EPSRC Fellowship research focuses on developing an open-source biorenewable system model from user-perspectives and providing 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 UK bioeconomy evolution. 


Publications

Journals

Farzad S, Mandegari MA, Guo M, et al., 2017, Multi-product biorefineries from lignocelluloses: a pathway to revitalisation of the sugar industry?, Biotechnology for Biofuels, Vol:10, ISSN:1754-6834

Guo M, Richter GM, Holland RA, et al., 2016, Implementing land-use and ecosystem service effects into an integrated bioenergy value chain optimisation framework, Computers & Chemical Engineering, Vol:91, ISSN:0098-1354, Pages:392-406

Lin Y, Guo M, Shah N, et al., 2016, Economic and environmental evaluation of nitrogen removal and recovery methods from wastewater, Bioresource Technology, Vol:215, ISSN:0960-8524, Pages:227-238

Conference

Delval F, Guo M, van Dam KH, et al., 2016, Integrated multi-level bioenergy supply chain modelling applied to sugarcane biorefineries in South Africa, 26th European Symposium on Computer Aided Process Engineering (ESCAPE), ELSEVIER SCIENCE BV, Pages:2037-2042, ISSN:1570-7946

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