11357 modules
Page 861
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CHEG6009 2031-32
Process Integration and Intensification
Process intensification (PI) is the down-scaling of a process to a smaller volume whilst retaining performancerepresenting an opportunity to create processes that are more energy efficient, cleaner, and sustainable. PI has the potential to revolutionise the way chemical plants are designed and operated. -
CHEG6009 2030-31
Process Integration and Intensification
Process intensification (PI) is the down-scaling of a process to a smaller volume whilst retaining performancerepresenting an opportunity to create processes that are more energy efficient, cleaner, and sustainable. PI has the potential to revolutionise the way chemical plants are designed and operated. -
CHEG6009 2028-29
Process Integration and Intensification
Process intensification (PI) is the down-scaling of a process to a smaller volume whilst retaining performancerepresenting an opportunity to create processes that are more energy efficient, cleaner, and sustainable. PI has the potential to revolutionise the way chemical plants are designed and operated. -
CHEG6009 2029-30
Process Integration and Intensification
Process intensification (PI) is the down-scaling of a process to a smaller volume whilst retaining performancerepresenting an opportunity to create processes that are more energy efficient, cleaner, and sustainable. PI has the potential to revolutionise the way chemical plants are designed and operated. -
CHEG6002 2031-32
Process Optimisation and Control
The module aims to provide students with a detailed understanding of advanced modelling and simulation tools applied to chemical engineering. The module will develop concepts of process modelling, process design, and process control and will apply advanced mathematical modelling and optimisation to chemical engineering applications, with the aim of synthesising and optimising processes. The module will also further the students’ knowledge of advanced control techniques, and will cover methods such as feedforward, cascade, and model predictive control. The module will prepare students to deal with complex systems and to apply detailed process modelling, optimisation and control methods to a wide variety of process operations using different computational tools. -
CHEG6002 2027-28
Process Optimisation and Control
The module aims to provide students with a detailed understanding of advanced modelling and simulation tools applied to chemical engineering. The module will develop concepts of process modelling, process design, and process control and will apply advanced mathematical modelling and optimisation to chemical engineering applications, with the aim of synthesising and optimising processes. The module will also further the students’ knowledge of advanced control techniques, and will cover methods such as feedforward, cascade, and model predictive control. The module will prepare students to deal with complex systems and to apply detailed process modelling, optimisation and control methods to a wide variety of process operations using different computational tools. -
CHEG6002 2030-31
Process Optimisation and Control
The module aims to provide students with a detailed understanding of advanced modelling and simulation tools applied to chemical engineering. The module will develop concepts of process modelling, process design, and process control and will apply advanced mathematical modelling and optimisation to chemical engineering applications, with the aim of synthesising and optimising processes. The module will also further the students’ knowledge of advanced control techniques, and will cover methods such as feedforward, cascade, and model predictive control. The module will prepare students to deal with complex systems and to apply detailed process modelling, optimisation and control methods to a wide variety of process operations using different computational tools. -
CHEG6002 2025-26
Process Optimisation and Control
The module aims to provide students with a detailed understanding of advanced modelling and simulation tools applied to chemical engineering. The module will develop concepts of process modelling, process design, and process control and will apply advanced mathematical modelling and optimisation to chemical engineering applications, with the aim of synthesising and optimising processes. The module will also further the students’ knowledge of advanced control techniques, and will cover methods such as feedforward, cascade, and model predictive control. The module will prepare students to deal with complex systems and to apply detailed process modelling, optimisation and control methods to a wide variety of process operations using different computational tools. -
CHEG6002 2026-27
Process Optimisation and Control
The module aims to provide students with a detailed understanding of advanced modelling and simulation tools applied to chemical engineering. The module will develop concepts of process modelling, process design, and process control and will apply advanced mathematical modelling and optimisation to chemical engineering applications, with the aim of synthesising and optimising processes. The module will also further the students’ knowledge of advanced control techniques, and will cover methods such as feedforward, cascade, and model predictive control. The module will prepare students to deal with complex systems and to apply detailed process modelling, optimisation and control methods to a wide variety of process operations using different computational tools. -
CHEG6002 2028-29
Process Optimisation and Control
The module aims to provide students with a detailed understanding of advanced modelling and simulation tools applied to chemical engineering. The module will develop concepts of process modelling, process design, and process control and will apply advanced mathematical modelling and optimisation to chemical engineering applications, with the aim of synthesising and optimising processes. The module will also further the students’ knowledge of advanced control techniques, and will cover methods such as feedforward, cascade, and model predictive control. The module will prepare students to deal with complex systems and to apply detailed process modelling, optimisation and control methods to a wide variety of process operations using different computational tools.