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Journal Article 4

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2021 1

2018 3

Keywords

GHG savings 1

biomass pyrolysis 1

borehole thermal storage 1

compartment modelling 1

design 1

energy hub 1

energy recovery ratio 1

equation-oriented optimisation 1

extractive dividing-wall column 1

ground source heat pumps (GSHP) 1

hybrid algorithm 1

kinetic parameter identification 1

optimisation 1

particle swarm optimisation 1

pseudo-transient continuation model 1

supply chain optimisation 1

waste-to-energy 1

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Optimisation for interconnected energy hub system with combined ground source heat pump and borehole

Da HUO, Wei WEI, Simon Le BLOND

Frontiers in Energy 2018, Volume 12, Issue 4,   Pages 529-539 doi: 10.1007/s11708-018-0580-0

Abstract: FE) model and an equivalent borehole transfer function are proposed and respectively applied to the optimisationto analyze the variation of GSHP performance over the entire optimisation time horizon of 24 h.The results validate the borehole transfer function, and the optimisation computation time is reducedby 17 times compared with the optimisation using the FE model.

Keywords: borehole thermal storage     energy hub     ground source heat pumps (GSHP)     particle swarm optimisation    

Kinetic-compartmental modelling of potassium-containing cellulose feedstock gasification

Attila Egedy, Lívia Gyurik, Tamás Varga, Jun Zou, Norbert Miskolczi, Haiping Yang

Frontiers of Chemical Science and Engineering 2018, Volume 12, Issue 4,   Pages 708-717 doi: 10.1007/s11705-018-1767-y

Abstract:

Biomass is of growing interest as a secondary energy source and can be converted to fuels with higher energy density especially by pyrolysis or gasification. Understanding the mechanism and the kinetics of biomass pyrolysis (thermal decomposition) and gasification (conversion of organic material to gases) could be the key to the design of industrial devices capable of processing vast amounts of biomass feedstock. In our work real product components obtained in pyrolysis were took into consideration as well as char and oil as lumped components, and the kinetic constants for a biomass model compound (cellulose) pyrolysis and gasification were identified based on a proposed simplified reaction mechanism within a compartment model structure. A laboratory scale reactor was used for the physical experiments containing consecutive fast pyrolysis and gasification stages using alkali metal (K) containing feedstock, which has a significant effect on the cellulose pyrolysis and gasification. The detailed model was implemented in MATLAB/Simulink environment, and the unknown kinetic parameters were identified based on experimental data. The model was validated based on measurement data, and a good agreement was found. Based on the validated first principle model the optimal parameters were determined as 0.15 mL/min steam flow rate, and 4% K content.

Keywords: biomass pyrolysis     kinetic parameter identification     compartment modelling     optimisation    

Optimal design of extractive dividing-wall column using an efficient equation-oriented approach

Yingjie Ma, Nan Zhang, Jie Li, Cuiwen Cao

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 1,   Pages 72-89 doi: 10.1007/s11705-020-1977-y

Abstract: In this paper we extend the hybrid feasible path optimisation algorithm (Ma Y, McLaughlan M, Zhang N,To ensure the gradient and Jacobian information available for optimisation, we allow a relaxed tolerance

Keywords: design     extractive dividing-wall column     equation-oriented optimisation     pseudo-transient continuation model    

Spatial targeting evaluation of energy and environmental performance of waste-to-energy processing

Petar S. Varbanov, Timothy G. Walmsley, Yee V. Fan, Jiří J. Klemeš, Simon J. Perry

Frontiers of Chemical Science and Engineering 2018, Volume 12, Issue 4,   Pages 731-744 doi: 10.1007/s11705-018-1772-1

Abstract:

Waste-to-energy supply chains are important potential contributors to minimising the environmental impacts of municipal solid waste by reducing the amounts of waste sent to landfill, as well as the fossil fuel consumption and environmental footprints. Accounting for the spatial and transport properties of the waste-to-energy supply chains is crucial for understanding the problem and improving the supply chain designs. The most significant challenge is the distributed nature of the waste generation and the household energy demands. The current work proposes concepts and a procedure for targeting the size of the municipal solid waste collection zone as the first step in the waste-to-energy supply chains synthesis. The formulated concepts and the provided case study reveal trends of reducing the net greenhouse gas savings and energy recovery by increasing the collection zone size. Population density has a positive correlation with the greenhouse gas saving and energy recovery performance. For smaller zone size the energy recovery from waste approaches and in some cases may surpass the energy spent on waste transportation. The energy recovery and greenhouse gas savings remain significant even for collection zones as large as 200 km2. The obtained trends are discussed and key directions for future work are proposed.

Keywords: waste-to-energy     supply chain optimisation     GHG savings     energy recovery ratio    

Title Author Date Type Operation

Optimisation for interconnected energy hub system with combined ground source heat pump and borehole

Da HUO, Wei WEI, Simon Le BLOND

Journal Article

Kinetic-compartmental modelling of potassium-containing cellulose feedstock gasification

Attila Egedy, Lívia Gyurik, Tamás Varga, Jun Zou, Norbert Miskolczi, Haiping Yang

Journal Article

Optimal design of extractive dividing-wall column using an efficient equation-oriented approach

Yingjie Ma, Nan Zhang, Jie Li, Cuiwen Cao

Journal Article

Spatial targeting evaluation of energy and environmental performance of waste-to-energy processing

Petar S. Varbanov, Timothy G. Walmsley, Yee V. Fan, Jiří J. Klemeš, Simon J. Perry

Journal Article