Toolkit: Complex Systems Toolkit.

Author: Milan Liu, Ph.D. Candidate (Cranfield University); Dr. Lampros Litos (Cranfield University). 

Topic: Towards circular economy: development of systems-based interventions in complex systems.

Title: Improving metal recycling and recycled content intake.

Resource type: Guidance article.

Relevant disciplines: Any; Production and manufacturing engineering.

Keywords: Recycled materials; Circular economy; Socio-technical systems; Waste management; Life cycle; Sustainability.

Licensing: This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. 

Downloads: A PDF of this resource will be available soon.

 

Who is this article for?: This article should be read by educators at all levels of higher education looking to highlight the connection between complex systems and sustainability within engineering learning. 

Related INCOSE Competencies: Toolkit resources are designed to be applicable to any engineering discipline, but educators might find it useful to understand their alignment to competencies outlined by the International Council on Systems Engineering (INCOSE). The INCOSE Competency Framework provides a set of 37 competencies for Systems Engineering within a tailorable framework that provides guidance for practitioners and stakeholders to identify knowledge, skills, abilities and behaviours crucial to Systems Engineering effectiveness.  A free spreadsheet version of the framework can be downloaded.

This resource relates to the Systems Thinking, Life Cycles, Capability Engineering, Systems Modelling and Analysis, and Design INCOSE competencies.

AHEP mapping: This resource addresses several of the themes from the UK’s Accreditation of Higher Education Programmes fourth edition (AHEP4): Analytical Tools and Techniques (critical to the ability to model and solve problems), and Integrated / Systems Approach (essential to the solution of broadly-defined problems). In addition, this resource addresses AHEP themes of Materials, equipment, technologies and processes, and Sustainability.  

 

Learning and teaching resources:

Resource  Type  Best for  Quick classroom use  URL 
Insight Maker  Web-based modelling tool  Building stock-and-flow models and simple simulations  Convert the aluminium CLD into stocks/flows and run a scenario  https://insightmaker.com 
Loopy  Interactive causal-loop diagram app  Fast, visual CLDs and in-class demonstration of loop behaviour  Live demo of reinforcing vs balancing loops; students toggle link polarities  https://ncase.me/loopy 
Vensim PLE  Free desktop system-dynamics software  Introductory quantitative modelling and sensitivity runs  Short lab: implement simplified aluminium-recycling model and compare policy scenarios  https://vensim.com/free-download/ 
Leverage Points (Meadows)  Concept primer on leverage points  Framing where to intervene in systems  Assign as required reading; students map which leverage points the CLD targets  https://donellameadows.org/archives/leverages-points-places-to-intervene-in-a-system/ 
MIT  System Dynamics materials  Course notes and lecture videos  Structured curriculum and worked examples for deeper study  Use selected lectures and problem sets for follow-up or flipped classroom  https://ocw.mit.edu/courses/15-871-introduction-to-system-dynamics-fall-2013/  

 

Premise:

Several sustainability challenges, such as transitioning to a circular economy, are embedded in complex socio-technical systems. A circular economy is an economic model that replaces the linear take-make-dispose pattern with systems that keep materials and products in use for longer through designing for durability, reuse, remanufacturing, and recycling, while minimising waste and regenerating natural systems (Rizos, Tuokko, and Behrens, 2017).   

Complex systems like these exhibit feedback loops, delays, non-linear change, path dependence and emergent behaviour ​(Sterman, 2000; Meadows, 2008)​. This article introduces the idea of systems-based interventions using the example of aluminium recycling systems. It is designed for engineering educators who plan to provide learners with a baseline understanding of complexity and practical entry points for designing and developing and evaluating interventions that can move a system towards sustainability. 

 

Complexity of aluminium recycling systems:

Aluminium is infinitely recyclable, yet achieving truly closed material loops at scale remains a challenge. Most of today’s recycling occurs in situations where post-consumer scrap is collected from a wide variety of end-of-life products and the boundaries of the recycling system are difficult to define and control. This creates high variability in both the composition and the quality of recovered aluminium, since different products contain different alloys and levels of contamination ​(IRT M2P, 2023)​. At the same time, the volume of available scrap is difficult to predict, as it depends on product lifespans and consumer behaviour. These fluctuations make it harder for producers to plan and optimise secondary aluminium output, particularly when industries rely on consistent standards or just-in-time manufacturing. 

The recycling system is also shaped by broader economic and regulatory forces. On the one hand, demand for low-carbon materials and the cost advantage of recycled over primary aluminium are powerful drivers of growth. On the other hand, the system faces constraints from volatile scrap prices and shifting global trade dynamics, such as U.S. tariffs on aluminium imports. Meanwhile, new policy instruments are adding further complexity. The EU’s Carbon Border Adjustment Mechanism (CBAM) is set to reshape trade flows and investment patterns, while the forthcoming Digital Product Passport (DPP) will transform how information is shared across the value chain. Together, these forces influence technologies, markets and business models, underscoring the dynamic and interconnected nature of aluminium recycling. 

These interconnected factors highlight aluminium recycling as a complex socio-technical system, in which technological capabilities, market incentives, policy frameworks, and global trade are deeply interconnected. For educators, this makes aluminium an effective example for teaching students how multiple forces interact to create both opportunities and challenges for sustainable engineering. 

 

Intervention from systems perspective:

System Dynamics (SD), first formalised by ​Forrester (1968)​, has proven to be a highly valuable approach for understanding and managing complex resource and recovery systems. SD is an interdisciplinary approach, drawing on insights from psychology, organisational theory, economics, and related fields ​(Sterman, 2000)​. More supporting information about SD pedagogical tools and techniques can be found through the System Dynamics Society and Insight Maker. 

From a systems perspective, interventions are not isolated events but strategic effort to influence system behaviour by targeting its structure and dynamics. A key concept here is leverage points – places within a complex system where small changes can lead to significant, systemic effects ​(Meadows, 1999)​. ​Meadows​ identified twelve types of leverage points, ranging from adjusting parameters to transforming the system’s underlying goals and paradigms, proving a conceptual framework for identifying impactful intervention. 

Figure 1. Donella Meadows’ leverage points (Source: based on Meadows (1999); credit: UNDP/Carlotta Cataldi; reproduced from ​Bovarnick and Cooper (2021)​) 

 

Exploration of potential leverage points: 

System Dynamics (SD) tools such as Causal Loop Diagrams (CLDs) can help explore leverage points. CLDs can help visualise main components of a system and their interdependencies, making complex dynamics easier to understand. Besides, the process of building a CLD or more computational SD model encourages practitioners to clarify system boundaries, relationships, and drivers, laying the foundation for identifying leverage points. 

For example, a CLD of aluminium recycling might capture how classification and sorting processes influence scrap quality, which then affects remelting efficiency and ultimately market uptake of recycled alloys (see Figure 2 below). 

 

Figure 2. The causal loop diagram for auto aluminium recycling (Liu et al., 2025) 

By tracing these circular cause-and-effect relationships, learners can see where interventions may ripple through the system. Highlighting reinforcing loops, balancing loops, and delays also shows why some interventions produce limited short-term results but more substantial long-term effects. 

Leverage points can also be examined through the lens of information, rules, and goals. Improved information flows, such as those enabled by the Digital Product Passport, could reshape how scrap is sorted and valued. Rules, such as alloy specifications or trade tariffs, determine what types of recycled material can enter the market. At a deeper level, the goals of the system, whether to maximise throughput or to retain material value, fundamentally shape behaviour. Here too, CLDs are valuable because they allow users to visualise how changes to information, rules, or goals can shift system dynamics, providing a clearer picture of where interventions might be most effective. 

 

Implication for educators: 

This article equips educators with a focused, practical pathway to teach systems thinking through the example of aluminium recycling. Students can gain both conceptual understanding and hands-on skills to map feedback loops, identify delays, and design interventions that account for short-term trade-offs and long-term system behaviour. Teaching a single clear CLD followed by one modelling or scenario activity produces measurable learning gains while keeping the task accessible for beginners. 

 

Educational approach: 

 

Potential related learning outcomes within this topic: 

 

Further resources: 

 

References 

 

Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters. 

Toolkit: Complex Systems Toolkit.

Author: Dr. Rebecca Margetts (Nottingham Trent University).

Topic: The importance of teaching and learning about complex systems.

Title: The real world is a complex system.

Resource type: Knowledge article.

Relevant disciplines: Any.

Keywords: Problem solving; Feedback loops; Decision-making; VUCA; Optimisation; Public health and safety; Risk; Sustainability; Ethics; Responsible design; Life cycle; Societal impact; Enterprise and innovation.

Licensing: This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. 

Downloads: 

Learning and teaching resources:

Who is this article for?: This article should be read by educators at all levels in higher education who are seeking an overall perspective on teaching approaches for integrating complex systems in engineering education. 

Related INCOSE Competencies: Toolkit resources are designed to be applicable to any engineering discipline, but educators might find it useful to understand their alignment to competencies outlined by the International Council on Systems Engineering (INCOSE). The INCOSE Competency Framework provides a set of 37 competencies for Systems Engineering within a tailorable framework that provides guidance for practitioners and stakeholders to identify knowledge, skills, abilities and behaviours crucial to Systems Engineering effectiveness. A free spreadsheet version of the framework can be downloaded.

This resource relates to the Systems Thinking and Critical Thinking INCOSE competencies.

AHEP mapping: This resource addresses several of the themes from the UK’s Accreditation of Higher Education Programmes fourth edition (AHEP4):  Analytical Tools and Techniques (critical to the ability to model and solve problems), and Integrated / Systems Approach (essential to the solution of broadly-defined problems). 

 

Premise: 

We live in a complex world. Complexity is a key challenge, captured in leadership terms by the VUCA framework: volatile, uncertain, complex and ambiguous (Lanucha 2024). Engineers have the privilege of creating products and processes for humans to use in this landscape. Each of these likely has numerous parts which interact, as well as interacting with the environment, people, and needing to meet a host of safety, quality, sustainability, ethics, and financial obligations. Traditionally, engineers analyse problems by breaking them down into simple parts. This helps understanding and makes calculations feasible, but it’s easy to lose understanding of the whole system. Any change can easily create a problem elsewhere. From a technical viewpoint, engineers need to understand this interconnectedness in order for their creations to work. In a wider sense, ‘systems thinking’ is a skill central to engineering quality and management techniques, which seek to rationalise the complexity of entire organisations and their ever-changing market pressures.  

 

The case for understanding systems: 

Systems is perhaps one of the most misunderstood words in engineering. It is often found combined with mathematical modelling or control – topics often perceived as challenging – and is used in other fields like Computer Science, where tools and models are different. In all cases, the idea revolves around a group of interacting or interrelated elements which form a unified whole. Those elements can be physical or information, hardware or software, or any combination of mechanical, electrical, and other engineering domains. Thinking in terms of systems can therefore be thought of as a holistic approach.  

The Engineering Council UK’s AHEP criteria include a systems approach: C/M6 – “Apply an integrated or systems approach to the solution of complex problems.” Several other AHEP criteria also reference complexity and complex problems, which they define as having “no obvious solution and may involve wide-ranging or conflicting technical issues and/or user needs that can be addressed through creativity and the resourceful application of engineering science. The Systems Thinking Alliance (2025) gives a broader definition of complexity as referring to “the condition of systems, objects, phenomena, or concepts that are challenging to understand, explain, or manage due to their intricate and interconnected nature. It involves multiple elements or factors that interact in unpredictable ways, often requiring significant information, time, or coordinated efforts to address.” For these, there is no ‘one-size-fits-all solution’ (Ellis 2025). This is the reality that engineers need to manage by understanding the potential effects on all parts of the system. 

In order to analyse, engineers dissect complexity into manageable components, and educators teach these simple components before moving onto more complex systems. For example, students initially learn basic electrical components, simple beams, rigid bodies, etc. before bringing these together in case studies, and then moving onto topics like mechatronic systems. Historically, engineers specialised on graduation, perhaps becoming a stress engineer or fluid dynamicist in dedicated offices and functional teams.  A design decision by one team could have unintended consequences for another, as well as additional uncertainty. The advent of cross-functional project and ‘matrix’ organisations mitigated against this, and companies have moved towards attribute teams which can consider the balance of behaviour. Even so, some uncertainty remains in the form of assumptions in calculations, changes in material properties with temperature or stress, or small variations in composition and manufacturing tolerances, which can all accumulate. Any parts which are bought ‘off-the-shelf’ or made by other companies under license must be carefully specified. Relationships can be nonlinear – or even chaotic – and contain feedback loops which can amplify changes (Kastens et al 2009). This all increases the risk of a product’s comfort, performance, and safety being impacted in ways that weren’t anticipated. Any problem that doesn’t come to light until the testing phase – late in the design process – represents costly redesigns and delays. In the unlikely event that a problem isn’t captured during testing either, the outcome could be disastrous. 

Systems engineers will bring the product together and establish these complex behaviours through models and testing. Identifying potential problems early in the design phase can save significant money and facilitate better designs. This can be challenging, especially for systems using novel materials or operating in extreme environments, which aren’t accurately captured by standard calculations. Models may be linearised, neglect external forcing, or be derived for an assumed air density or ambient temperature which may not be valid. In recent decades, the engineering industry has moved towards model-based design and virtual prototyping, facilitated by advances in computer tools. These are increasingly sophisticated, but models still need to be built by engineers with an appreciation of complexity and the mechanisms by which a problem could arise. As humans develop new materials and technologies, and explore the limits of what is possible, engineering techniques and calculations need constant revision, and software tools are frequently updated to facilitate this.  

That holistic view of problems has benefits outside of designing engineering artefacts. The manufacturing process is itself a complex system with potentially long supply chains. As is the organisation, which is comprised of numerous people operating in a landscape of financial pressures, employment law, politics and culture. Quality guru William Deming’s 14 Points for Management (Deming 2018) can be viewed as a systems approach to handling this complexity, by breaking down barriers between departments and instigating continuous improvement. Once a product is produced, it exists in a wider world and continues to interact with it. From a sustainability viewpoint, this can be the user and surrounding community, the environmental impact over a product’s lifecycle, and the financial markets which dictate whether a product is viable. It can also be the social, political, and legal landscapes: these can place direct constraints in the forms of laws governing safety and emissions (such as the UK’s legally binding target of net zero by 2050), or through embargos, tariffs, and subsidies. Each country has its own regulations, which can necessitate multiple variations of a product: a good example is cars, which need to be produced in both left- and right-hand drive, satisfy varying safety and emissions regulations, and cater for differing personal and cultural preferences for size, noise, usage and driving styles. Even when not legislated, a company might choose to support fair trade, lead the way in sustainable practices, or refuse to do business with suppliers or regimes they find objectionable – potentially making this a key part of their brand.  

An engineer’s ability to appreciate and understand the wider social and business landscape is a reason why finance and management consultancy companies can often be seen recruiting engineers at student careers fairs. The Sainsbury Management Fellowship (SMF) scheme notably develops UK engineers as industry leaders, and fellows have made a major contribution to the UK’s economic prosperity (RAEng 2025). 

 

Conclusions:

Complex systems are the “real world” that engineers attempt to understand and design for. They are complicated, interconnected, changing, and uncertain. The well-known part of engineering is analysis: breaking systems into understandable parts. There needs to be a parallel operation where those parts are assembled or integrated into a whole, and that whole interacts with everything around it. This is where unforeseen problems can occur. Systems models and a holistic systems thinking approach can mitigate this risk. A systems approach and ability to manage complexity is a key skill for engineers, and positions them well for other fields like management.   

 

References:

 

Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters.  

Author: Peter Beattie (Ultra Group). 

Topic: Dealing with contracts or subcontracts with potential slave or forced labour. 

Engineering disciplines: Manufacturing; Engineering business. 

Ethical issues: Social responsibility; Human rights; Risk. 

Professional situations: Legal implications; Company/organisational reputation; Conflicts with leadership/management. 

Educational level: Beginner. 

Educational aim: Practising Ethical Reasoning: the application of critical analysis to specific events in order to evaluate and respond to problems in a fair and responsible way. 

 

Learning and teaching notes: 

This case study puts students in the shoes of an engineer who is required to select a subcontractor to manufacture systems and parts. There are stipulations around who can be selected, among which are legal and ethical concerns around  suspicions of slavery or forced labour. The engineer must navigate communication with both their supervisors and their potential subcontractor, and ultimately justify their decision.  

This case study addresses two of the themes from the Accreditation of Higher Education Programmes fourth edition (AHEP4): The Engineer and Society (acknowledging that engineering activity can have a significant societal impact) and Engineering Practice (the practical application of engineering concepts, tools and professional skills). To map this case study to AHEP outcomes specific to a programme under these themes, access AHEP 4 here and navigate to pages 30-31 and 35-37. 

The case is presented in three parts. If desired, a teacher could use the Summary and Part one in isolation, but Parts two and three enable additional professional situations to be brought into consideration. The case study allows teachers the option to stop at multiple points for questions and/or activities as desired.  

Learners have the opportunity to: 

Teachers have the opportunity to: 

 

Learning and teaching resources: 

Professional organisations: 

Government sites: 

Global development institutions: 

NGOs: 

Educational institutions: 

 

Summary: 

Autonomous Vehicle Corporation (AVC) has recently been awarded a contract to provide a bespoke design unmanned air vehicle to India. AVC is a UK certified B Corp that prides itself on maintaining the highest standards of social and environmental performance, transparency, and accountability. 

A stipulation of the newly awarded contract is that at least 30% of the contract value is spent on the manufacture of sub-systems and parts from subcontractors based in India. AVC is responsible for identifying and contracting these suppliers. 

After many years working as a Systems Engineer for AVC, you have been selected as the Lead Engineer for the project, responsible for the selection of the Indian suppliers. You are aware from your initial research of reports regarding slave and forced labour in the region’s manufacturing industry and are concerned that this situation might affect the project and the company. Additionally, you would personally feel uncomfortable knowing that you might contract a supplier who engaged in those practices. 

 

Optional STOP for questions and activities: 

1. Activity: To consider how AVC might be impacted from engaging a supplier that utilises slave or forced labour, chart out the viewpoints of different stakeholders, such as customers, investors, other suppliers, communities, and employees. 

2. Discussion: Are there other factors besides ethical considerations that may influence your selection of supplier? What are these?  

3. Discussion: How would you weigh the importance of ethical considerations, such as the use of slave or forced labour, against the other factors identified in the previous question? What information or resources might you use in guiding your weighting of these considerations? 

4. Activity: Contrast the UK Engineering Council’s code of ethics with the Engineering Council of India’s Code of Ethics. How do the two differ? Which code should you be primarily guided by in this situation? Why? How might cultural expectations and norms influence what is seen as ethical?  

 

Dilemma – Part one: 

One supplier you are considering is Quality Electronics Manufacturing Pvt. Ltd. (QEM), a company based outside Naya Raipur in one of India’s poorest provinces. During a video call, QEM’s managing director assures you that they comply with a strict code of ethics and conduct all recruitment through a carefully selected list of brokers and agencies. He tells you that QEM sources raw materials from around the world, and none of their suppliers have ever been convicted of any offences relating to slavery. He invites you to tour their factory when you are in the country next month and will personally escort you to answer any questions you may have. 

 

Optional STOP for questions and activities: 

1. Activity: Does anything you have heard give you cause for concern regarding the risk of slave or forced labour at QEM in particular? Research this issue from the perspective of various sources, such as investigative journalism, academic papers, government reports, and industry publications. Do their conclusions align or differ in any significant ways? Are there any gaps in knowledge that these sources haven’t adequately covered?  

2. Discussion: QEM mentions that they source raw materials from around the world. The reality of modern supply chains is that they often involve multiple complex layers of subcontractors. Does AVC have an ethical duty to consider the whole supply chain? Would this be the same if AVC were further down the supply chain? If AVC were further down the supply chain, would they have to consider the upstream elements of the supply chain? What are the business implications of considering an entire supply chain? 

3. Activity: List possible contextual risk factors and potential indicators of slave and forced labour. Which are present in the case of QEM? 

4. Activity and discussion: Create a set of questions you wish to answer during your visit to QEM to help assess the risk that they are engaged in the use of slave or forced labour. How will you get this information? Who will you need to talk to? What evidence would you expect to see and collect? To practise business communication, students could draft a memo to their supervisor explaining the situation and outlining their proposed course of action.  

 

Dilemma – Part two: 

During your visit to QEM’s factory, you meet with workers at all levels and you review QEM’s policies and procedures. You identify some potential risk factors that could indicate QEM is using forced labour in its workforce. You raise this with QEM’s managing director, but he responds indignantly, “QEM creates good jobs for our workers and without us they would not be able to feed their families. Your contract would allow us to sustain those jobs and create many more for the local community.” 

You know that QEM is the lowest cost supplier for the work you want them to undertake, and you are under pressure to keep budgets down. You have no conclusive evidence that QEM uses forced labour. You also know that the alternative suppliers you could use are all based in regions with high employment, which means the risk of not being able to staff your work (resulting in schedule delays) is high.  

Upon your return to the UK, your project manager calls you into her office and tells you she needs your decision on whether to utilise QEM by the end of the week. 

 

Optional STOP for questions and activities: 

1. Activity: Conduct a risk analysis that identifies what might be the impact of not using QEM and what might be the impact of using QEM. 

2. Debate: Do you use QEM as one of your suppliers? Why, or why not? You may wish to consider your answer using the lens of uncertainty and risk. 

3. Discussion: What actions could you put in place with QEM to reduce the incidence/risk of slave or forced labour in its workforce? Which of these would you recommend, and which would you require, QEM to implement as part of contracting with them? How would you enforce them, and what evidence of them being successfully implemented would you need? 

 

Dilemma – Part three – Postscript:

If you chose to use QEM: It is now two years after you subcontracted QEM. An investigation by an NGO has uncovered the rampant use of slave and forced labour within the global electronics manufacturing industry by companies with B-Corp status. AVC is named as one of the perpetrators, and a story about workers at QEM is scheduled to run in a leading tabloid newspaper tomorrow morning. AVC has called an emergency press conference to give its side of the story.  

If you chose not to use QEM: The following week, your project manager calls you into her office again. She tells you that she has just stepped out of a meeting with the board, and they are deeply concerned about spiralling costs on your project. In particular, they are concerned that you rejected QEM’s proposal in favour of another supplier who is more than twice as expensive. You have been asked to present your reasoning to the board when they reconvene shortly.  

 

Optional STOP for activity:

1. Roleplay either the press conference or the board meeting and defend your decision. 

 

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters.

Theme: Universities’ and business’ shared role in regional development; Collaborating with industry for teaching and learning; Knowledge exchange; Research; Graduate employability and recruitment.

Author: Prof Matt Boyle OBE (Newcastle University).

Keywords: Electrification; Collaboration Skills; Newcastle.

Abstract: Driving the Electric Revolution is led by Newcastle and is a collaborative R&D project to build supply chains in Power Electronics Machines and Drives. The University led the bid and as we amass supply chain capability we will generate £ Billions in GVA.

 

Newcastle University has been embedded in the academic and industrial development of the North East of England since 1834. Recently, one of its core competencies, Machines and Drives research, has been used to attract investment to the region from Industry and Government helping to increase the economic prospects for the North East region.

Newcastle University is the national lead organisation for Driving the Electric Revolution Industrialisation Centres an Industrial Strategy Challenge Fund Wave 3 competition. The centres serve two purposes,

  1. A focal point for development of manufacturing processes in Power Electronics, Machines and Drives (PEMD) through investment in cutting edge manufacturing equipment.
  2. The training of researchers, students, employees of industrial partners on these important new processes.

The Driving the Electric Revolution (DER) Industrialisation Centres (DERIC) project aims to accelerate UK industrialisation of innovative and differentiated PEMD manufacturing and supply chain solutions. They are doing this by creating a national network to coordinate and leverage the capabilities of 35 Research and Technology Organisations (RTO) and academic establishments, based within four main centres.  Supported by 166 industrial partners it represents the largest coordinated industrialisation programme the UK PEMD sector has ever seen.

Newcastle University has, in living memory, always been at the forefront of Electric Machines and Drives innovation globally. It was inevitable that Newcastle would lead the DER project given its pedigree, reputation and the fact that it was supported by several companies in several sectors, Automotive, Aerospace and domestic products who undertake product research in the North East and who seek to manufacture in the UK if possible.

Newcastle did recognise however that it couldn’t deliver the government programme alone. There were four institutions which formed a consortium to bid into the competition, Newcastle University, University of Strathclyde, Warwick Manufacturing Group and the Compound Semiconductor Applications Catapult in Newport South Wales. Over time they have been joined by University of Nottingham, University of Birmingham, Swansea University and University of Warwick. Letters of support were received from 166 Industry partners, 27 FE and HE organisations expressed support as did 13 RTOs. Although the national bid was led by Newcastle, it took a more North East regional view in development of its delivery model.

Therefore, in addition to this national work, Newcastle extended their DERIC application beyond Newcastle to Sunderland where they worked with Sunderland council to establish a DERIC research facility in the area. Sunderland city council worked with Newcastle to acquire, fit out and commission the lab which received equipment from the project and is due to open in 2022.

Nationally the primary outcome is the establishment of the Driving the Electric Revolution Industrialisation Centres and the network.

The four DERIC act as focal points for the promotion of UK PEMD capabilities. They design develop and co-sponsor activities at international events. They send industrial representatives to meet with clients and research partners from UK, Europe and Asia, as well as developing a new UK event to attract leading PEMD organisations from around the globe.

In Newcastle the university’s sponsorship of both the national project as well as the DERIC in the North East is helping attract, retain and develop local innovation and investment. The equipment granted by the DER Challenge to the centre includes a Drives assembly line as well as an advanced Machines line. The DERIC is focused primarily in the development of manufacturing processes using the granted equipment. The equipment was selected specifically with these new processes in mind. The success of the DERIC program already means that the country and the region have attracted substantial inward investment.

Investments by three companies came to the North East because of the capability developed in the region. They have all agreed partnerships with the university in the process of establishing, acquiring and investing in the North East. The three companies are:

  1. British Volt mission is to accelerate the electrification of society. They make battery cells. Their Gigaplant in Northumberland will be the second Gigaplant in the UK. They are investing £1Bn into the region creating around 5,000 jobs both at the plant and in the supply chain.
  2. Envision also make batteries. Unlike British volt the Envision cell is a Gel pack. Envision has the first Gigaplant in the UK at Sunderland. They are investing a further £450M to expand the plant in Sunderland and potentially another £1.8Bn by 2030.
  3. Turntide Technologies invested £110M into the region acquiring three businesses. These have all in some fashion been supported by and supportive of the PEMD capability at Newcastle over the past six decades.

The university has worked tirelessly to help create an ecosystem in the region for decarbonisation and electrification.

The last stage of this specific activity is the creation of the trained employees for this new North East future. The university, collaborating across the country with DER partners, is embarking on an ambitious plan to help educate, train and upskill the engineers, scientists and operators to support these developments. It is doing this by collaborating, for the North East requirement, with the other universities and further education colleges in the region. Industry is getting involved by delivering a demand signal for its requirements. The education, training and up skilling of thousands of people over the next few years will require substantial investments by both the educators in the region as well as industry.

As the pace of electrification of common internally combusted applications accelerates the need for innovation in the three main components of electrification, power source, drive and machine will grow substantially. The country needs more electrification expertise. The North East region has many of the basic building blocks for a successful future in electrification. Newcastle University and its Academic and Industrial partners have shown the way ahead by collaborating, leading to substantial inward investment which will inevitably lead to greater economic prosperity for the region. Further information is available from the Driving the Electric Revolution Industrialisation Centres website. In addition, there are annual reports and many events hosted, sponsored or attended by the centres.

Any views, thoughts, and opinions expressed herein are solely that of the author(s) and do not necessarily reflect the views, opinions, policies, or position of the Engineering Professors’ Council or the Toolkit sponsors and supporters.

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