Join the climate revolution!

Solve global challenges via process engineering

Process engineers are among the most demanded engineers across multiple sectors, due to the flexibility of their skillset. They can design, optimise and operate industrial processes, as well as lead engineering projects. MSc in Advanced Process Engineering integrates applied learning experience with internationally-recognised research, professional development, career mentoring and teamwork to transform you into the engineering leader who will solve global challenges.

You will develop relevant employability skills to become a successful process engineer in any sector that utilises process engineering, including energy and power, nuclear, chemical, petrochemical, water, food and drink, and pharmaceutical industries. You will also become a member of Cranfield Process Engineering team and will work with us to solve global challenges through real-life assignments and projects.

Ranked in the UK top 5 for mechanical engineering, Cranfield offers a unique, postgraduate-only environment, near-industrial scale engineering facilities, industrially focused modules and real-world case studies. You will take a practical approach to develop solutions to challenges, such as achieving net-zero in power and industrial sectors and solving climate emergency.

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Overview

  • Start dateFull-time: October. Part-time: October
  • DurationOne year full-time, two-three years part-time
  • DeliveryTaught modules 40%, Group project 20% (dissertation for part-time students), Individual Research Project 40%.
  • QualificationMSc, PgDip, PgCert
  • Study typeFull-time / Part-time
  • CampusCranfield campus
Mathilde Mendil - current student headshot

“As an international university with excellent facilities combined with quality education and research, and is renowned for its relevance in the application of technology to business, I will say Cranfield University is the ideal place for any student pursuing his or her postgraduate studies. It was certainly true for me. ”

Nathaniel Essilfie-Conduah, student, Process Systems Engineering MSc

Who is it for?

The Advanced Process Engineering MSc is ideal for candidates with engineering or applied science backgrounds who want to dedicate their career to solving global challenges via process engineering. Process engineers play a pivotal role in contributing to meeting emission reduction targets and, subsequently, global warming mitigation.

We recognise that process engineering is an inherently multi-disciplinary and, therefore complex field of study. This course is specifically designed for those seeking a career in design and development, research and development, operation and management of process engineering systems in industry, government or research organisations.

This course will equip you with an advanced process engineering knowledge, as well as applied analytical, problem-solving and communication skills that are crucial to your successful career as a process engineer or project engineer.

You will become proficient in the use of state-of-the-art approaches that are applied throughout the process development process to deal with the major operational and design challenges. You will receive up-to-date technical knowledge and develop skills required for achieving the best management, design, control and operation of efficient process systems. 

Hear from Dr Hanak, the PSE course director, on why he decided to dedicate his career to solving global challenges.

Your career

The Advanced Process Engineering MSc is designed to provide you with the skills, knowledge and expertise required to develop a successful career in any sector, including energy and power, nuclear, chemical, petrochemical, water, food and drink, and pharmaceutical industries. We aim to influence your career development from day one. This course will enable you to apply your learning through applied modules and real-life assignments, industrially-relevant group and individual research projects; while equipping you with the engineering and management skills you need to make an immediate impact in your career.

Successful graduates have pursued careers in roles that include:
Engineering consultants, Postdoctoral Research Associate, Teaching Associate, PhD Researcher, Subsea Engineer, Senior Engineer, Telecommunications Engineer, Process Engineer, Layout and Material Flow Engineer, Process Project Engineer, Project & Continuous Improvement Engineer, Senior System Engineer, Lead Storage Engineer.

Our graduates have been employed by:
Aramco (Saudi Arabia), Bayer Crop Science, British Petroleum (BP), National Iranian Oil Company, Petroleum Research Institute, Libya, Ecopetrol, Columbia, Emerson Process Management, Ford Motor Company, Hidrostal, China Petroleum Engineering & Construction Corporation, Switzerland, GlaxoSmithKline, Doosan Babcock, Oceaneering, Opal Telecom, Origami Energy, Petrofac Engineering, DIT Ireland, Thistle Seafoods, Sanofi-Synthelabo, Saipem, Process Systems Enterprise, M W Kellog, Solutia Ltd, Saipem, Process Systems Enterprise, ABB, China Petroleum Engineering & Construction Corporation, Thistle Seafoods, Origami Energy.

Cranfield Careers Service
Cranfield’s Career Service is dedicated to helping you meet your career aspirations. You will have access to career coaching and advice, CV development, interview practice, access to hundreds of available jobs via our Symplicity platform and opportunities to meet recruiting employers at our careers fairs. We will also work with you to identify suitable opportunities and support you in the job application process for up to three years after graduation.

Why this course?

Advanced Process Engineering MSc is based on a complex engineering specialisation and constitutes an interdisciplinary research area within the chemical engineering discipline. It plays a vital role across the lifecycle of any chemical, physical, and biological process, including process development, design, construction, debottlenecking, optimisation, operation and control. Process engineering utilises both experimental techniques and systematic computer-aided tools to ensure the process is designed and operated in the most efficient and economically feasible way.

Through this course, you will develop practical skills by using the experimental techniques and systematic computer-aided tools along the process development cycle, including the development, design, optimisation, debottlenecking, operation and control of any chemical, physical, and biological processes.

By combining advanced process engineering topics, with an underpinning in the management skills required to lead complex projects, this course will prepare you for a successful and rewarding career:

  • Learn through innovative teaching practices and student-led exercises, designed to advance your independent learning and ability to solve real-world problems,
  • Benefit from near-industrial scale facilities for project work, including our Process Systems Engineering Laboratory,
  • Work with lecturers who have extensive, current experience of working with industry on solving real-world process engineering challenges,
  • Experience real-world situations in teaching to learn how to create new problem diagnoses, designs, or system insights that will make a difference in the industry,
  • Develop your technology leadership capabilities with the world-renowned Cranfield School of Management,
  • Participate in individual and group projects focused on your personal interests and career aspirations,
  • Study at a top 5-ranked UK university for mechanical, aeronautical and manufacturing engineering.

This MSc is supported by our team of professorial thought leaders, including Professor Phil Hart, who is influential in the field of process engineering, and an integral part of this MSc

Jorge Martinez Romero Alumni

I am currently a Layout & Material Handling Engineer at Ford Motor Company. During the interview process my interviewer showed interest in my experience at Cranfield. It is a renowned university and therefore greatly valued by employers. I would personally highlight that every single one of my soft skills were tested during the course and helped me stand out from other graduates my age.

Jorge Martinez Romero, Layout & Material Handling Engineer

Informed by industry

The Advanced Process Engineering MSc is closely aligned with industry to ensure that you are fully prepared for your career:

  • Cranfield’s long-standing strategic partnerships with prominent players in the process sectors - including Alstom Power, BP, Chevron, Conoco Philips, Emerson Process Management, npower, and Siemens – ensures that the course content meets the needs of global employers,
  • The teaching team are heavily involved in industrially funded research and development, enabling you to benefit from real-world case studies throughout the course,
  • Engineering modules cover a range of topics including Process Control, Process Design and Simulation, Thermal Systems Operation and Design, Instrumentation Engineering, Risk and Reliability Engineering and Advanced Control Systems,
  • Student projects are often linked to the department’s industrially funded research – ensuring relevance to employers,
  • The Institution of Mechanical Engineers and The Energy Institute accredits the course, ensuring professional recognition and relevance to employers.

Course details

In this section
Overview
Delivery
Modules
Teaching team
Accreditation

The taught programme for the MSc in Advanced Process Engineering is delivered from October to February and is comprised of six compulsory taught modules and two elective modules to select from a choice of three. A typical module consists of five days of intensive postgraduate level structured lectures, tutorials or workshops covering advanced aspects of each subject.

Water course structure diagram 

Students on the part-time programme will complete all of the compulsory modules based on a flexible schedule that will be agreed with the Course Director.

Course delivery

Taught modules 40%, Group project 20% (dissertation for part-time students), Individual Research Project 40%.

Group project

The group project, which runs between February and April, enables you to put the skills and knowledge developed during the course modules into practice in an applied context while gaining transferable skills in project management, teamwork and independent research. The group project is usually sponsored by industrial partners who provide particular problems linked to their plant operations. Projects generally require the group to provide a solution to the operational problem. Potential future employers value this experience. This group project is shared across the MSc in Advanced Process Engineering and other courses, giving the added benefit of gaining new insights, ways of thinking, experience and skills from students with other backgrounds

During the project you will develop a range of skills including learning how to establish team member roles and responsibilities, project management, and delivering technical presentations. At the end of the project, all groups submit a written report and deliver a presentation to the industrial partner. This presentation provides the opportunity to develop interpersonal and presentation skills within a professional environment.

It is clear that the modern engineer cannot be divorced from the commercial world. In order to provide practice in this matter, a poster presentation will be required from all students. This presentation provides the opportunity to develop presentation skills and effectively handle questions about complex issues in a professional manner.

Part-time students are encouraged to participate in a group project as it provides a wealth of learning opportunities. However, an option of an individual dissertation is available if agreed with the Course Director.

Recent group projects include:

  • Integrated management of production and utility systems in process industries.
  • Multiphase regime monitoring and control using optical fibre sensing.
  • CO2 capture and energy storage technologies for decarbonisation of power sector.
  • Energy production and demand management in smart microgrids based on combined heat and power units.

Individual project

The individual research project allows you to delve deeper into a specific area of interest. As our academic research is so closely related to industry, it is common for our industrial partners to put forward real practical problems or areas of development as potential research topics. The individual research project component takes place between April and August.

For part-time students, it is common that their research project is undertaken in collaboration with their place of work.

Research projects will involve designs, computer simulations, techno-economic feasibility assessments, reviews, practical evaluations and experimental investigations.

Typical research areas include:

  • Design, simulation and optimisation of process or energy systems.
  • Advanced process control methodologies.
  • Instrumentation and process measurement systems.
  • Multi-phase flow and processes.
  • Renewable energy systems.
  • Studies involving environmental issues.

Recent Individual Research Projects include:

  • Optimisation frameworks for the design and planning of oil and gas supply chains.
  • Operational planning and maintenance of utility systems.
  • Optimal design and planning of biomass supply chains.
  • Inferential slug control of a U-shaped riser.
  • Self-optimizing control of Tennessee Eastman plant.
  • Design/simulation of a lab-scale fixed-bed reactor for CO2 capture-remove process.
  • Effluent treatment system for a secondary pharmaceutical site.
  • Condition monitoring in subsea engineering.
  • CHP systems with Stirling power generator.
  • Electro-chemical coolers for small-scale refrigeration.

Modules

Keeping our courses up-to-date and current requires constant innovation and change. The modules we offer reflect the needs of business and industry and the research interests of our staff and, as a result, may change or be withdrawn due to research developments, legislation changes or for a variety of other reasons. Changes may also be designed to improve the student learning experience or to respond to feedback from students, external examiners, accreditation bodies and industrial advisory panels.

To give you a taster, we have listed the compulsory and elective (where applicable) modules which are currently affiliated with this course. All modules are indicative only, and may be subject to change for your year of entry.


Course modules

Compulsory modules
All the modules in the following list need to be taken as part of this course.

Risk and Reliability Engineering

Module Leader
  • Dr Dawid Hanak
Aim

    This module introduces you to the principles of risk and reliability engineering, and associated tools and methods to solve relevant engineering problems in industry.
Syllabus
    • Introduction and fundamentals of risk management and reliability engineering,
    • Failure distributions: how to analysis and interpret failure data, introduce the most commonly used discrete and continuous failure distributions (e.g. Poisson, Exponential, Weibull and Normal),
    • Risk management process: hazard identification, assessment, evaluation and mitigation (risk acceptance, reduction, ignorance, transfer),
    • Risk assessment techniques: risk matrix, Pareto analysis, fault tree analysis (FTA), event tree analysis (ETA), failure mode and effects analysis (FMEA), failure mode, effects and criticality analysis (FMECA), hazard and operability study (HAZOP),
    • Reliability and availability analysis: system duty cycle, breakdown/shutdown, MTTF/MTBF/MTTR, survival, failure/hazard rate,
    • Reliability analysis techniques: reliability block diagram (RBD), minimal cut-set (MCS), series and parallel configurations, k-out-of-n systems, active and passive redundancies,
    • Introduction to structural reliability analysis: stress strength interference and limit state function, first-order / second-order reliability method (FORM/SORM), damage accumulation and modelling of time-dependent reliability,
    • Identification of the role of inspection and structural health monitoring (SHM) in risk reduction and reliability improvement,
    • Introduction to maintainability and its various measures,
    • Workshops and case studies: work in groups to determine the risk and reliability of subsea production systems, power distribution networks, wind turbines, gas turbines, etc. 
Intended learning outcomes

On successful completion of this module you should be able to:

  • Identify and analyse the concepts and principals of risk and reliability engineering and their potential applications to different engineering problems,
  • Assess and analyse appropriate approaches to the collection and interpretation of data in the application of risk and reliability engineering methods,
  • Evaluate and select appropriate techniques and tools for qualitative and quantitative risk analysis and reliability assessment,
  • Analyse and evaluate failure distributions, failure likelihood and potential consequences, and develop solutions for control / mitigation of risks.

Research Methods and Project Management

Module Leader
  • Dr Gill Drew
Aim
    This module will provide you with experience of scoping and designing a research project.  This requires a thorough understanding of the background literature, as well as qualitative and quantitative analysis techniques. The module provides sessions on project scoping and planning, including project risk management and resource allocation.  A key part of this module is the consideration of ethics, professional conduct and the role of an engineer within the wider industry context.
Syllabus

    Research methods:

    • Literature reviews,
    • Qualitative analysis methods (surveys, SWOT, PESTLE),
    • Quantitative analysis methods (hypothesis testing, statistics and regression.

    Project management:

    • Project scoping and definition,
    • Project planning,
    • Project risk assessment and mitigation,
    • Resource planning and allocation.

    Ethics and the role of the engineer:

    • Expert witness case study

    Professional code of conduct (in line with the code of conduct defined by the Engineering Council, IMechE, IChemE and Energy Institute).  
Intended learning outcomes

On successful completion of this module you should be able to:

  • Undertake a systematic literature review in order to identify the key gaps in knowledge for a particular research topic,
  • Design a data analysis method appropriate to their chosen research topic (either quantitative or qualitative),
  • Design and scope a research project, including identification of research methods, resources required and risk management approaches,
  • Evaluate ethical dilemmas and the role of the engineer within the context of their chosen industry.

Computational Fluid Dynamics for Industrial Processes

Module Leader
  • Dr Patrick Verdin
Aim

    This module introduces you to the CFD techniques and tools for modelling, simulating and analysing practical engineering problems with hands on experience using commercial software packages used in industry.
Syllabus
    • Introduction to CFD & thermo-fluids: introduction to the physics of thermo-fluids, governing equations (continuity, momentum, energy and species conservation) and state of the art computational fluid dynamics including modelling, grid generation, simulation, and high performance computing. Case study of industrial problems related to energy, process systems, offshore engineering, and the physical processes where CFD can be used,
    • Computational engineering exercise: specification for a CFD simulation, requirements for accurate analysis and validation for multi scale problems, introduction to turbulence & practical applications of turbulence models, introduction to turbulence and turbulent flows, traditional turbulence modelling,
    • Advanced turbulence modelling: introduction to Reynolds-averaged Navier Stokes (RANS) simulations and large-eddy simulation (LES),
    • Practical sessions: fluid process problems are solved employing the widely-used industrial flow solver software FLUENT. Lectures are followed by practical sessions on single/multiphase flows, heat transfer, to set up and simulate a problem incrementally.  Practical sessions cover the entire CFD process including geometric modelling, grid generation, flow solver, analysis, validation and visualisation.
Intended learning outcomes

On successful completion of this module you should be able to:

  • assemble and evaluate the different components of the CFD process,
  • explain the governing equations for fluid flows and how to solve them computationally,
  • compare and contrast various methods for simulating turbulent flows applicable to mechanical and process engineering,
  • set up simulations and evaluate a practical problem using a commercial CFD package,
  • design CFD modelling studies for use in industrial design of complex systems.

Advanced Control Systems

Module Leader
  • Dr Liyun Lao
Aim

    This modules introduces you to the fundamental concepts, principles, methodologies, and application for the design of advanced control systems for industrial applications.
Syllabus
    • System dynamics:
      • modelling of typical physical systems, operating point, linearization, differential equation representation, state space representation of systems, laplace transforms, transfer functions, block diagrams, SISO and MIMO systems, time and frequency domain responses of systems,
    • Feedback control:
      • positive and negative feedback, stability, methods for stability analysis, closed loop performance specification, PID controllers, Ziegler-Nichols, self-tuning methods,
    • Enhanced controllers:
      • cascade control, feedforward control, control of non-linear systems, control of systems with delay,
    • Digital controllers:
      • effects of sampling, implementation of PID controller, stability and tuning,
    • Advanced control topics:
      • hierarchical control Kalman filter, system identification, model predictive control, statistical process control, the use of expert systems and neural networks in industrial control,
    • Design packages for process control systems:
      • examples including Simulink and MATLAB.
    • Case studies:
      • examples will be chosen from a range of industrial systems including mechanical, chemical and fluid systems.
Intended learning outcomes

On successful completion of this module you should be able to:

  • Evaluate and select appropriate modelling techniques for dynamic systems,
  • Formulate control methodologies in feedback, feedforward and cascade loops,
  • Recognise and critically appraise the key design tools and procedures for continuous and discrete controllers of dynamic systems.

Sustainability and Economic Assessment

Module Leader
  • Dr Dawid Hanak
Aim
    Environmental impact assessment and economic feasibility assessment are important tools for detailed evaluation of complex engineering processes and innovative process concepts, which aim to tackle global challenges. The tools and concepts taught in this module will enable process engineers to assess the sustainability of the process plant designs from environmental and economic standpoints. Tools such as net present value (NPV) assessment and life cycle assessment (LCA) are becoming widely applied in the industry to ensure sustainability of their assets over their lifetime. This module aims to introduce you to the modern techniques for economic and environmental assessment of sustainable process systems. It comprises several hands-on case studies (microprojects) that enable you to develop relevant economic and environmental impact assessment competencies via hands-on experience using commercial software. You will also work on an industrially relevant case study that will take you through the entire process assessment process. You will also learn how to account for uncertainty and apply reduced-order models.  
Syllabus

    Economic appraisal of engineering projects

    • Introduction to economic assessment and its role in engineering decision making,
    • Project cost estimation (capital and operating costs),
    • Identification of key performance indicators (benefit: cost ratio, net present value, payback period, and internal rate of return); selection of parameters framework for economic assessment (net present value), levelised costs, and sensitivity analysis,
    • Introduction to Monte Carlo simulation; surrogate modelling using machine learning (artificial neural networks/machine learning),
    • Case studies for power and industrial processes. 

    Environmental impact assessment and sustainability

    • Sustainability and business models,
    • Net-zero technologies for sustainable development,
    • Life cycle analysis and environmental impact assessment.
Intended learning outcomes

On successful completion of this module you should be able to:

  • Critically assess the emissions and waste production throughout the lifecycle of the process,
  • Design and implement a strategy to assess the economic and environmental sustainability of a process,
  • Critically evaluate different economic and environmental appraisal metrics,
  • Evaluate the effect of uncertainty on the economic and environmental feasibility using stochastic models and formulate a set of recommendations.

Process Instrumentation and Control Engineering

Module Leader
  • Dr Liyun Lao
Aim

    This module introduces a systematic approach to the design of measurement and control systems for industrial process applications. The fundamental concepts, key requirements, typical principles and key applications of the industrial process measurement and control technology and systems will be highlighted.
Syllabus

    Principles of Measurement System

    • Process monitoring requirements: operating conditions, range, static performance, dynamic performance,
    • Sensor technologies: resistive, capacitive, electromagnetic, ultrasonic, radiation, resonance,
    • Signal conditioning and conversion: amplifiers, filters, bridges, load effects, sampling theory, quantisation theory, A/D, D/A,
    • Data transmission and telemetry: analogue signal transmission, digital transmission, communication media, coding, modulation, multiplexing, communication strategies, communication topologies, communication standards, HART, Foundation Fieldbus, Profibus,
    • Smart and intelligent instrumentation. Soft sensors. Measurement error and uncertainty: systematic and random errors, estimating the uncertainty, effect of each uncertainty, combining uncertainties, use of Monte Carlo methods,
    • Calibration: importance of standards, traceability,
    • Safety aspects: intrinsic safety, zone definitions, isolation barriers,
    • Selection and maintenance of instrumentation.

    Principles of Process Measurement

    • Flow measurement: flow meter performance, flow profile, flow meter calibration; differential pressure flow meters, positive displacement flow meters, turbine, ultrasonic, electromagnetic, vortex, Coriolis flow meters,
    • Pressure measurement: pressure standards, Bourdon tubes, diaphragm gauges, bellows, strain gauges, capacitance, resonant gauges,
    • Temperature measurement: liquid-in-glass, liquid-in-metal, gas filled, thermocouple, resistance temperature detector, thermistor,
    • Level measurement: conductivity methods, capacitance methods, float switches, ultrasonic, microwave, and radiation method,
    • Multiphase measurement and monitoring: general features of vertical and horizontal multiphase flow, definition of parameters in multiphase flow, multiphase flow measurement strategies, Content and composition measurement, velocity measurement, commercial multiphase flow meters, developments in multiphase flow metering.

    Practical of Process Control

    • Case study 1: Cooling System Control,
    • Case study 2: Flow Assurance Control System.
Intended learning outcomes

On successful completion of this module you should be able to:

  • Critically assess the factors affecting the operation of a process sensor and the types and technologies of modern process sensors,
  • Examine the factors which have to be considered when designing a process measurement and control system,
  • Propose the most appropriate measurement system for a given process control application.

Process Design and Simulation 

Module Leader
  • Dr Dawid Hanak
Aim

    This module aims to introduce you to the modern techniques and computer aided engineering tools for the design, simulation and optimisation of process systems. Via a large share of process simulation and optimisation case studies, the module will enable you to gather the hands-on experience of using the commercial software.
Syllabus
    Process Design
    • Overview: Conceptual process design. Process flow-sheeting,
    • Process synthesis: Overview of a process system. Recycle structure of the flowsheet. Design of reaction and separation systems,
    • Process integration: Basic concepts of process integration for heat exchanger network design,
    • Process economic analysis: Equipment capital cost estimation. Process profitability analysis.
    Process Modelling, Simulation and Optimisation
    • Modelling and simulation: Basic concepts of process modelling. General concepts of simulation. Introduction to steady and dynamic process simulation. Introduction to commercial simulation software packages (i.e, Aspen HYSYS) for process flow-sheeting, design and analysis,
    • Process optimisation techniques: Basic principles of optimisation. Presentation of a number of industrial case studies (e.g., heat exchanges network synthesis).
    Case Studies (PC Lab and Demonstration Sessions)
    • A number of process simulation and optimisation case studies will be carried out using Aspen HYSYS and Aspen Plus.
Intended learning outcomes

On successful completion of this module you should be able to:

  • Formulate strategies to carry out a process design and critically appraise the techniques and major commercial simulation tools for steady and dynamic process simulation,  
  • Competently apply the basic principles of process optimisation,
  • Design and analyse the performance of a process plant using simulation or optimisation tools.

Thermal Systems Operation and Design

Module Leader
  • Dr Ali Nabavi
Aim

    Design of optimum thermal and energy storage systems is one of the key prerequisites to enhance the performance and efficiency of conventional and future energy systems.

    This module aims to enable you to combine and apply the principles of heat transfer, thermodynamics and fluid mechanics in the design and optimisation of commercial thermal systems. In addition, the module introduces you to a wide range of challenges and opportunities in waste heat recovery and energy storage, and provides practical approaches and solutions to enhance the system efficiency.
Syllabus

    Heat exchanger Design and Operation

    • Heat exchangers: classification, theoretical principles and design of recuperative systems (effectiveness, NTU and capacity ratio approach for parallel-, counter- and cross-flow configurations), series cross‑flow arrangements, regenerative heat exchangers (intermittent and continuous systems), pressure‑loss assessment, heat‑exchanger optimisation (optimal pressure drop and surface area to maximise economic returns),
    • Process integration: heat-exchanger network, utility systems, fundamentals of pinch analysis and energy analysis.

    Waste Heat Recovery and Thermal Storage

    • Waste‑heat recovery: sources of waste heat, heat recovery for industrial applications, energy density considerations, economics of waste-heat recovery,
    • Thermal storage: principles and application to hot and cold systems, storage duration and scale, sensible and latent heat systems, phase-change storage materials, application to source and load matching.

    Refrigeration and Air Conditioning

    • Application of refrigeration and air conditioning.
    • Vapour-compression refrigeration systems: simple systems, multi-stage compressor systems, multi-evaporator systems,
    • Refrigerants: halocarbon refrigerants, CFC alternatives, refrigerant-selection criteria,
    • Refrigeration compressors: reciprocating compressors, rotary screw compressors, scroll compressors, vane compressors, centrifugal compressors,
    • Absorption refrigeration: the absorption process, properties of fluid-pair solutions, the basic absorption cycle, double-effect systems, advances in absorption-refrigeration technology,
    • Psychrometry and principle Air-conditioning processes: psychrometry, heating, cooling, humidification and dehumidification processes.
Intended learning outcomes

On successful completion of this module you should be able to:

  • Analyse and design heat exchangers, competently applying the principles of heat transfer, thermodynamics and fluid mechanics,
  • Construct optimised heat exchanger networks by applying principles of process integration,
  • Recognise and debate  the issues related to the efficient use of thermal energy and appraise  techniques and technologies employed,
  • Design and analyse the performance of refrigeration and air conditioning systems.

Teaching team

You will be taught by our multidisciplinary team of leading technology experts including: Dr Dawid Hanak – Course Director and Senior Lecturer in Energy and Process Engineering. Our teaching team work closely with business and have academic and industrial experience. The course also includes inputs from industry that will relate the theory to current best practice. Knowledge gained working with our clients is continually fed back into the teaching programme to ensure that you benefit from the very latest knowledge and techniques affecting industry. As an Advanced Process Engineering student, you will become a member of Cranfield Process Engineering team and will work with us to solve global challenges through real-life assignments and projects. The Admissions Tutor is Dr Imma Bortone and the Course Director is Dr Dawid Hanak.

Dawid Hanak

Dr Dawid Hanak

Senior Lecturer in Energy and Process Engineering
Patrick Verdin

Dr Patrick Verdin

Senior Lecturer in Energy Fluid Dynamics
Ali Nabavi

Dr Ali Nabavi

Lecturer in Energy Systems
Liyun Lao

Dr Liyun Lao

Senior Research Fellow
Gill Drew

Dr Gill Drew

Senior Lecturer in Geographical Systems

Accreditation

This MSc degree is accredited by the Institution of Mechanical Engineers (IMechE) and The Energy Institute

 Energy Institute logo

How to apply

Online application form. UK students are normally expected to attend an interview and financial support is best discussed at this time. Overseas and EU students may be interviewed by telephone.

Apply now