MSc — 2024 entry Renewable Energy Systems Engineering

Automatic control is an essential technology to maintain safe, economic and environmentally benign operation of manufacturing processes. Process control is increasingly needed and challenging because modern plants have become more difficult to operate as the result of complex and highly integrated processes. This module aims to provide an introduction to process control, balancing theoretical and practical aspects. The module will review basic concept in control, including dynamics, feedback and stability, based on which more advanced and modern techniques will be introduced. It will integrate computer experiments, which closely simulate the operation of process plants, to enhance the understanding of process control principles.

Solar Energy is quite wide and large subject. It based on different branches of science and technologies. The model is focused on photo-voltaic side of solar energy applications. It tries to deal with the subject from different angles of consideration; the physics base, technology development, technical work, system design and economics.  

This module introduces students to the intricacies of sustainable development (SD) when applied in real life contexts, covering areas within environmental management, strategy, industrial ecology, and more. Using case studies, the module will cover the challenges in the integration and implementation of sustainable development. Guest speakers offer their organizational and field experiences as cases exemplifying challenges, progress and effective practice in putting SD principles into practice in diverse sectors and places. This reinforces and brings to life the conceptual learning done in the module and in the earlier Foundations and Frontiers module (ENGM064). The SDA module develops the ideas covered in ENGM064 and will facilitate a deepened understanding and consolidation of corporate environmental management, socioeconomic and political issues, spanning the public, private, and ‘third’ (civil society) sectors. This module is one of the components required for Associate Membership of IEMA and IES.

Process integration is an efficient paradigm, which enables the reduction of capital investment and energy consumption according to the principles of sustainable development applicable for new and retrofit process design. Computer-aided process engineering tools together with mathematical programming enable systematic and simultaneous handling of process integration problems. This module equips students with the knowledge and skills required to maximise the energy efficiency of existing and new industrial processes while improving process economics and minimising its environmental impact. It introduces a wide range of methods of heat integration of processes within a production site and for total site energy integration. The design of heat exchanger networks (HEN), utility selection, integration of units such as heat engines, heat pumps, and placement of reactors and separators will be addressed. Sequential and simultaneous approaches will be explored utilizing graphical, empirical and mathematical modelling tools. Students will also continue to develop their problem-solving skills and digital capabilities by using state-of-the-art process simulation software.

Knowledge is the most critical part of any decision making process, being it the process of design, management or general business. Last several decades have witnessed numerous attempts to present knowledge in the form processable by computers, starting with descriptive logic, through the production rules and ending with ontologies as the last and the latest form known today, the process known as artificial intelligence. The module will help students in consolidating all of these technologies and using them in supporting decision making in the area of student’ interest, primarily in the process of design for processing industry.

Global competition has seen a shift from between individual companies to that between supply chains. This module will introduce the concept of supply chain and its management, including both qualitative and quantitative analysis. It will equip the students with the knowledge of fundamental supply chain processes, as well as the major components such as distribution, demand forecasting, planning, inventory, transportation, sourcing and coordination. Conceptual modelling of supply chain events toward sustainable and profitable supply chains will also be discussed. In this module, students will acquire in depth understanding of supply chain management and corresponding analysis tools that are used to achieve optimal supply chain performance whilst satisfying customers' need.

 A teaching and learning module that covers all aspects of safety and reliability in the design and operation of process plant and equipment. Although generally applicable to the full range of business operations, the main focus is on offshore oil and gas platforms, refinery and petrochemical operations where knowledge and understanding will be gained in maintaining the highest standards of process safety and operations integrity.

Automatic control is an essential technology to maintain safe, economic and environmentally benign operation of manufacturing processes. Process control is increasingly needed and challenging because modern plants have become more difficult to operate as the result of complex and highly integrated processes. This module aims to provide an introduction to process control, balancing theoretical and practical aspects. The module will review basic concept in control, including dynamics, feedback and stability, based on which more advanced and modern techniques will be introduced. It will integrate computer experiments, which closely simulate the operation of process plants, to enhance the understanding of process control principles.

Solar Energy is quite wide and large subject. It based on different branches of science and technologies. The model is focused on photo-voltaic side of solar energy applications. It tries to deal with the subject from different angles of consideration; the physics base, technology development, technical work, system design and economics.  

This module introduces students to the intricacies of sustainable development (SD) when applied in real life contexts, covering areas within environmental management, strategy, industrial ecology, and more. Using case studies, the module will cover the challenges in the integration and implementation of sustainable development. Guest speakers offer their organizational and field experiences as cases exemplifying challenges, progress and effective practice in putting SD principles into practice in diverse sectors and places. This reinforces and brings to life the conceptual learning done in the module and in the earlier Foundations and Frontiers module (ENGM064). The SDA module develops the ideas covered in ENGM064 and will facilitate a deepened understanding and consolidation of corporate environmental management, socioeconomic and political issues, spanning the public, private, and ‘third’ (civil society) sectors. This module is one of the components required for Associate Membership of IEMA and IES.

Process integration is an efficient paradigm, which enables the reduction of capital investment and energy consumption according to the principles of sustainable development applicable for new and retrofit process design. Computer-aided process engineering tools together with mathematical programming enable systematic and simultaneous handling of process integration problems. This module equips students with the knowledge and skills required to maximise the energy efficiency of existing and new industrial processes while improving process economics and minimising its environmental impact. It introduces a wide range of methods of heat integration of processes within a production site and for total site energy integration. The design of heat exchanger networks (HEN), utility selection, integration of units such as heat engines, heat pumps, and placement of reactors and separators will be addressed. Sequential and simultaneous approaches will be explored utilizing graphical, empirical and mathematical modelling tools. Students will also continue to develop their problem-solving skills and digital capabilities by using state-of-the-art process simulation software.

Knowledge is the most critical part of any decision making process, being it the process of design, management or general business. Last several decades have witnessed numerous attempts to present knowledge in the form processable by computers, starting with descriptive logic, through the production rules and ending with ontologies as the last and the latest form known today, the process known as artificial intelligence. The module will help students in consolidating all of these technologies and using them in supporting decision making in the area of student’ interest, primarily in the process of design for processing industry.

Global competition has seen a shift from between individual companies to that between supply chains. This module will introduce the concept of supply chain and its management, including both qualitative and quantitative analysis. It will equip the students with the knowledge of fundamental supply chain processes, as well as the major components such as distribution, demand forecasting, planning, inventory, transportation, sourcing and coordination. Conceptual modelling of supply chain events toward sustainable and profitable supply chains will also be discussed. In this module, students will acquire in depth understanding of supply chain management and corresponding analysis tools that are used to achieve optimal supply chain performance whilst satisfying customers' need.

 A teaching and learning module that covers all aspects of safety and reliability in the design and operation of process plant and equipment. Although generally applicable to the full range of business operations, the main focus is on offshore oil and gas platforms, refinery and petrochemical operations where knowledge and understanding will be gained in maintaining the highest standards of process safety and operations integrity.

Automatic control is an essential technology to maintain safe, economic and environmentally benign operation of manufacturing processes. Process control is increasingly needed and challenging because modern plants have become more difficult to operate as the result of complex and highly integrated processes. This module aims to provide an introduction to process control, balancing theoretical and practical aspects. The module will review basic concept in control, including dynamics, feedback and stability, based on which more advanced and modern techniques will be introduced. It will integrate computer experiments, which closely simulate the operation of process plants, to enhance the understanding of process control principles.

Solar Energy is quite wide and large subject. It based on different branches of science and technologies. The model is focused on photo-voltaic side of solar energy applications. It tries to deal with the subject from different angles of consideration; the physics base, technology development, technical work, system design and economics.  

This module introduces students to the intricacies of sustainable development (SD) when applied in real life contexts, covering areas within environmental management, strategy, industrial ecology, and more. Using case studies, the module will cover the challenges in the integration and implementation of sustainable development. Guest speakers offer their organizational and field experiences as cases exemplifying challenges, progress and effective practice in putting SD principles into practice in diverse sectors and places. This reinforces and brings to life the conceptual learning done in the module and in the earlier Foundations and Frontiers module (ENGM064). The SDA module develops the ideas covered in ENGM064 and will facilitate a deepened understanding and consolidation of corporate environmental management, socioeconomic and political issues, spanning the public, private, and ‘third’ (civil society) sectors. This module is one of the components required for Associate Membership of IEMA and IES.

Process integration is an efficient paradigm, which enables the reduction of capital investment and energy consumption according to the principles of sustainable development applicable for new and retrofit process design. Computer-aided process engineering tools together with mathematical programming enable systematic and simultaneous handling of process integration problems. This module equips students with the knowledge and skills required to maximise the energy efficiency of existing and new industrial processes while improving process economics and minimising its environmental impact. It introduces a wide range of methods of heat integration of processes within a production site and for total site energy integration. The design of heat exchanger networks (HEN), utility selection, integration of units such as heat engines, heat pumps, and placement of reactors and separators will be addressed. Sequential and simultaneous approaches will be explored utilizing graphical, empirical and mathematical modelling tools. Students will also continue to develop their problem-solving skills and digital capabilities by using state-of-the-art process simulation software.

Knowledge is the most critical part of any decision making process, being it the process of design, management or general business. Last several decades have witnessed numerous attempts to present knowledge in the form processable by computers, starting with descriptive logic, through the production rules and ending with ontologies as the last and the latest form known today, the process known as artificial intelligence. The module will help students in consolidating all of these technologies and using them in supporting decision making in the area of student’ interest, primarily in the process of design for processing industry.

Global competition has seen a shift from between individual companies to that between supply chains. This module will introduce the concept of supply chain and its management, including both qualitative and quantitative analysis. It will equip the students with the knowledge of fundamental supply chain processes, as well as the major components such as distribution, demand forecasting, planning, inventory, transportation, sourcing and coordination. Conceptual modelling of supply chain events toward sustainable and profitable supply chains will also be discussed. In this module, students will acquire in depth understanding of supply chain management and corresponding analysis tools that are used to achieve optimal supply chain performance whilst satisfying customers' need.

 A teaching and learning module that covers all aspects of safety and reliability in the design and operation of process plant and equipment. Although generally applicable to the full range of business operations, the main focus is on offshore oil and gas platforms, refinery and petrochemical operations where knowledge and understanding will be gained in maintaining the highest standards of process safety and operations integrity.

Automatic control is an essential technology to maintain safe, economic and environmentally benign operation of manufacturing processes. Process control is increasingly needed and challenging because modern plants have become more difficult to operate as the result of complex and highly integrated processes. This module aims to provide an introduction to process control, balancing theoretical and practical aspects. The module will review basic concept in control, including dynamics, feedback and stability, based on which more advanced and modern techniques will be introduced. It will integrate computer experiments, which closely simulate the operation of process plants, to enhance the understanding of process control principles.

Solar Energy is quite wide and large subject. It based on different branches of science and technologies. The model is focused on photo-voltaic side of solar energy applications. It tries to deal with the subject from different angles of consideration; the physics base, technology development, technical work, system design and economics.  

This module introduces students to the intricacies of sustainable development (SD) when applied in real life contexts, covering areas within environmental management, strategy, industrial ecology, and more. Using case studies, the module will cover the challenges in the integration and implementation of sustainable development. Guest speakers offer their organizational and field experiences as cases exemplifying challenges, progress and effective practice in putting SD principles into practice in diverse sectors and places. This reinforces and brings to life the conceptual learning done in the module and in the earlier Foundations and Frontiers module (ENGM064). The SDA module develops the ideas covered in ENGM064 and will facilitate a deepened understanding and consolidation of corporate environmental management, socioeconomic and political issues, spanning the public, private, and ‘third’ (civil society) sectors. This module is one of the components required for Associate Membership of IEMA and IES.

Process integration is an efficient paradigm, which enables the reduction of capital investment and energy consumption according to the principles of sustainable development applicable for new and retrofit process design. Computer-aided process engineering tools together with mathematical programming enable systematic and simultaneous handling of process integration problems. This module equips students with the knowledge and skills required to maximise the energy efficiency of existing and new industrial processes while improving process economics and minimising its environmental impact. It introduces a wide range of methods of heat integration of processes within a production site and for total site energy integration. The design of heat exchanger networks (HEN), utility selection, integration of units such as heat engines, heat pumps, and placement of reactors and separators will be addressed. Sequential and simultaneous approaches will be explored utilizing graphical, empirical and mathematical modelling tools. Students will also continue to develop their problem-solving skills and digital capabilities by using state-of-the-art process simulation software.

Knowledge is the most critical part of any decision making process, being it the process of design, management or general business. Last several decades have witnessed numerous attempts to present knowledge in the form processable by computers, starting with descriptive logic, through the production rules and ending with ontologies as the last and the latest form known today, the process known as artificial intelligence. The module will help students in consolidating all of these technologies and using them in supporting decision making in the area of student’ interest, primarily in the process of design for processing industry.

Global competition has seen a shift from between individual companies to that between supply chains. This module will introduce the concept of supply chain and its management, including both qualitative and quantitative analysis. It will equip the students with the knowledge of fundamental supply chain processes, as well as the major components such as distribution, demand forecasting, planning, inventory, transportation, sourcing and coordination. Conceptual modelling of supply chain events toward sustainable and profitable supply chains will also be discussed. In this module, students will acquire in depth understanding of supply chain management and corresponding analysis tools that are used to achieve optimal supply chain performance whilst satisfying customers' need.

 A teaching and learning module that covers all aspects of safety and reliability in the design and operation of process plant and equipment. Although generally applicable to the full range of business operations, the main focus is on offshore oil and gas platforms, refinery and petrochemical operations where knowledge and understanding will be gained in maintaining the highest standards of process safety and operations integrity.

Automatic control is an essential technology to maintain safe, economic and environmentally benign operation of manufacturing processes. Process control is increasingly needed and challenging because modern plants have become more difficult to operate as the result of complex and highly integrated processes. This module aims to provide an introduction to process control, balancing theoretical and practical aspects. The module will review basic concept in control, including dynamics, feedback and stability, based on which more advanced and modern techniques will be introduced. It will integrate computer experiments, which closely simulate the operation of process plants, to enhance the understanding of process control principles.

Solar Energy is quite wide and large subject. It based on different branches of science and technologies. The model is focused on photo-voltaic side of solar energy applications. It tries to deal with the subject from different angles of consideration; the physics base, technology development, technical work, system design and economics.  

This module introduces students to the intricacies of sustainable development (SD) when applied in real life contexts, covering areas within environmental management, strategy, industrial ecology, and more. Using case studies, the module will cover the challenges in the integration and implementation of sustainable development. Guest speakers offer their organizational and field experiences as cases exemplifying challenges, progress and effective practice in putting SD principles into practice in diverse sectors and places. This reinforces and brings to life the conceptual learning done in the module and in the earlier Foundations and Frontiers module (ENGM064). The SDA module develops the ideas covered in ENGM064 and will facilitate a deepened understanding and consolidation of corporate environmental management, socioeconomic and political issues, spanning the public, private, and ‘third’ (civil society) sectors. This module is one of the components required for Associate Membership of IEMA and IES.

Process integration is an efficient paradigm, which enables the reduction of capital investment and energy consumption according to the principles of sustainable development applicable for new and retrofit process design. Computer-aided process engineering tools together with mathematical programming enable systematic and simultaneous handling of process integration problems. This module equips students with the knowledge and skills required to maximise the energy efficiency of existing and new industrial processes while improving process economics and minimising its environmental impact. It introduces a wide range of methods of heat integration of processes within a production site and for total site energy integration. The design of heat exchanger networks (HEN), utility selection, integration of units such as heat engines, heat pumps, and placement of reactors and separators will be addressed. Sequential and simultaneous approaches will be explored utilizing graphical, empirical and mathematical modelling tools. Students will also continue to develop their problem-solving skills and digital capabilities by using state-of-the-art process simulation software.

Knowledge is the most critical part of any decision making process, being it the process of design, management or general business. Last several decades have witnessed numerous attempts to present knowledge in the form processable by computers, starting with descriptive logic, through the production rules and ending with ontologies as the last and the latest form known today, the process known as artificial intelligence. The module will help students in consolidating all of these technologies and using them in supporting decision making in the area of student’ interest, primarily in the process of design for processing industry.

Global competition has seen a shift from between individual companies to that between supply chains. This module will introduce the concept of supply chain and its management, including both qualitative and quantitative analysis. It will equip the students with the knowledge of fundamental supply chain processes, as well as the major components such as distribution, demand forecasting, planning, inventory, transportation, sourcing and coordination. Conceptual modelling of supply chain events toward sustainable and profitable supply chains will also be discussed. In this module, students will acquire in depth understanding of supply chain management and corresponding analysis tools that are used to achieve optimal supply chain performance whilst satisfying customers' need.

 A teaching and learning module that covers all aspects of safety and reliability in the design and operation of process plant and equipment. Although generally applicable to the full range of business operations, the main focus is on offshore oil and gas platforms, refinery and petrochemical operations where knowledge and understanding will be gained in maintaining the highest standards of process safety and operations integrity.

Automatic control is an essential technology to maintain safe, economic and environmentally benign operation of manufacturing processes. Process control is increasingly needed and challenging because modern plants have become more difficult to operate as the result of complex and highly integrated processes. This module aims to provide an introduction to process control, balancing theoretical and practical aspects. The module will review basic concept in control, including dynamics, feedback and stability, based on which more advanced and modern techniques will be introduced. It will integrate computer experiments, which closely simulate the operation of process plants, to enhance the understanding of process control principles.

Solar Energy is quite wide and large subject. It based on different branches of science and technologies. The model is focused on photo-voltaic side of solar energy applications. It tries to deal with the subject from different angles of consideration; the physics base, technology development, technical work, system design and economics.  

This module introduces students to the intricacies of sustainable development (SD) when applied in real life contexts, covering areas within environmental management, strategy, industrial ecology, and more. Using case studies, the module will cover the challenges in the integration and implementation of sustainable development. Guest speakers offer their organizational and field experiences as cases exemplifying challenges, progress and effective practice in putting SD principles into practice in diverse sectors and places. This reinforces and brings to life the conceptual learning done in the module and in the earlier Foundations and Frontiers module (ENGM064). The SDA module develops the ideas covered in ENGM064 and will facilitate a deepened understanding and consolidation of corporate environmental management, socioeconomic and political issues, spanning the public, private, and ‘third’ (civil society) sectors. This module is one of the components required for Associate Membership of IEMA and IES.

Process integration is an efficient paradigm, which enables the reduction of capital investment and energy consumption according to the principles of sustainable development applicable for new and retrofit process design. Computer-aided process engineering tools together with mathematical programming enable systematic and simultaneous handling of process integration problems. This module equips students with the knowledge and skills required to maximise the energy efficiency of existing and new industrial processes while improving process economics and minimising its environmental impact. It introduces a wide range of methods of heat integration of processes within a production site and for total site energy integration. The design of heat exchanger networks (HEN), utility selection, integration of units such as heat engines, heat pumps, and placement of reactors and separators will be addressed. Sequential and simultaneous approaches will be explored utilizing graphical, empirical and mathematical modelling tools. Students will also continue to develop their problem-solving skills and digital capabilities by using state-of-the-art process simulation software.

Knowledge is the most critical part of any decision making process, being it the process of design, management or general business. Last several decades have witnessed numerous attempts to present knowledge in the form processable by computers, starting with descriptive logic, through the production rules and ending with ontologies as the last and the latest form known today, the process known as artificial intelligence. The module will help students in consolidating all of these technologies and using them in supporting decision making in the area of student’ interest, primarily in the process of design for processing industry.

Global competition has seen a shift from between individual companies to that between supply chains. This module will introduce the concept of supply chain and its management, including both qualitative and quantitative analysis. It will equip the students with the knowledge of fundamental supply chain processes, as well as the major components such as distribution, demand forecasting, planning, inventory, transportation, sourcing and coordination. Conceptual modelling of supply chain events toward sustainable and profitable supply chains will also be discussed. In this module, students will acquire in depth understanding of supply chain management and corresponding analysis tools that are used to achieve optimal supply chain performance whilst satisfying customers' need.

 A teaching and learning module that covers all aspects of safety and reliability in the design and operation of process plant and equipment. Although generally applicable to the full range of business operations, the main focus is on offshore oil and gas platforms, refinery and petrochemical operations where knowledge and understanding will be gained in maintaining the highest standards of process safety and operations integrity.