Advanced Imaging and Numerical Modelling of Segregation and Transport of Plastics in Fluidised Beds: Toward a Circular Economy for Plastics
Lead Research Organisation:
University of Birmingham
Department Name: Chemical Engineering
Abstract
Plastic waste is one of the great environmental challenges of our time. Though efforts have been made to increase plastic recycling, the vast majority of waste plastics are still either incinerated or sent to landfill. Of the fraction of plastics that are notionally recycled, most are actually 'downcycled' into lower-grade products which, at the end of their life, cannot be recycled further and are still discarded, thus simply delaying the negative environmental impact, as opposed to reducing it.
This project concerns a promising new process for converting waste plastics into petrochemical feedstock. The process involves the injection of waste plastics into a gas-fluidised bed of heated particles. Heat transferred to the plastic cracks long-chain molecules into shorter hydrocarbons which are then vaporised and extracted from the system, before being refined into valuable petrochemical products.
While this emergent technology shows considerable potential, there remain significant impediments to its further development, upscaling, and widespread adoption. While the cracking & distillation processes are well-understood, the internal dynamics of the fluidised beds used remain largely unknown. Further, unlike for classical fluids, there exist no known laws governing the behaviours of fluidised granular media, meaning that these behaviours - and their variation with key system parameters - cannot be reliably predicted. Consequently, the specific influences of key parameters such as the system geometry, the positioning of inlets for the injection of plastics, the properties of the particles used in the heating process, and the effect of the vaporisation of plastics on the system's dynamics remain unknown. This, in turn, means that the development and optimisation of the process represents a slow, costly and high-risk task, as any change to the system must be physically implemented in a full-sized pilot plant, with no guarantee of success.
This project aims to directly address these issues. Using cutting-edge experimental imaging techniques and computational modelling methods, we will attempt to gain a predictive understanding of the dynamical behaviours of multi-component gas-fluidised beds. This knowledge will allow us to establish scaling laws relating key system parameters mentioned above to crucial bed properties (e.g. recirculation rate, distribution of plastics, plastic residence time), as well as full numerical models, together enabling a) the informed and efficient operation and optimisation of current fluidised-bed-based recycling systems and b) the development of still more advanced systems.
Experiments will be performed using a variety of methods, notably positron emission particle tracking (PEPT), which allows the motion of particles to be tracked, in 3 dimensions, even within large, dense, opaque systems, with high temporal and spatial resolution - making it ideally suited to the current application. The PI's significant experience with PEPT, and his position at the University of Birmingham, which houses Europe's only PEPT facility, will facilitate extensive use of the technique, including the development of specialised systems capable of imaging full-scale industrial pilot plants in situ.
Experimental data obtained will be used to calibrate and validate numerical models coupling discrete element method and continuum fluid dynamics simulations so as to accurately reproduce the motion of both the particulate and gaseous components of the system. This numerical modelling will allow us to explore system modifications in a rapid, cost-effective and risk-free manner, circumventing the time, expense and risk associated with modifying or building new pilot plants, or sourcing, buying and testing new materials.
We will work closely with leaders in the field and pioneers of the technique, Recycling Technologies, ensuring clear and direct pathways to impact, and thus expedited economic benefits for UK industry.
This project concerns a promising new process for converting waste plastics into petrochemical feedstock. The process involves the injection of waste plastics into a gas-fluidised bed of heated particles. Heat transferred to the plastic cracks long-chain molecules into shorter hydrocarbons which are then vaporised and extracted from the system, before being refined into valuable petrochemical products.
While this emergent technology shows considerable potential, there remain significant impediments to its further development, upscaling, and widespread adoption. While the cracking & distillation processes are well-understood, the internal dynamics of the fluidised beds used remain largely unknown. Further, unlike for classical fluids, there exist no known laws governing the behaviours of fluidised granular media, meaning that these behaviours - and their variation with key system parameters - cannot be reliably predicted. Consequently, the specific influences of key parameters such as the system geometry, the positioning of inlets for the injection of plastics, the properties of the particles used in the heating process, and the effect of the vaporisation of plastics on the system's dynamics remain unknown. This, in turn, means that the development and optimisation of the process represents a slow, costly and high-risk task, as any change to the system must be physically implemented in a full-sized pilot plant, with no guarantee of success.
This project aims to directly address these issues. Using cutting-edge experimental imaging techniques and computational modelling methods, we will attempt to gain a predictive understanding of the dynamical behaviours of multi-component gas-fluidised beds. This knowledge will allow us to establish scaling laws relating key system parameters mentioned above to crucial bed properties (e.g. recirculation rate, distribution of plastics, plastic residence time), as well as full numerical models, together enabling a) the informed and efficient operation and optimisation of current fluidised-bed-based recycling systems and b) the development of still more advanced systems.
Experiments will be performed using a variety of methods, notably positron emission particle tracking (PEPT), which allows the motion of particles to be tracked, in 3 dimensions, even within large, dense, opaque systems, with high temporal and spatial resolution - making it ideally suited to the current application. The PI's significant experience with PEPT, and his position at the University of Birmingham, which houses Europe's only PEPT facility, will facilitate extensive use of the technique, including the development of specialised systems capable of imaging full-scale industrial pilot plants in situ.
Experimental data obtained will be used to calibrate and validate numerical models coupling discrete element method and continuum fluid dynamics simulations so as to accurately reproduce the motion of both the particulate and gaseous components of the system. This numerical modelling will allow us to explore system modifications in a rapid, cost-effective and risk-free manner, circumventing the time, expense and risk associated with modifying or building new pilot plants, or sourcing, buying and testing new materials.
We will work closely with leaders in the field and pioneers of the technique, Recycling Technologies, ensuring clear and direct pathways to impact, and thus expedited economic benefits for UK industry.
Planned Impact
Plastic waste is one of the great environmental challenges of our time. Though efforts have been made to increase plastic recycling, the vast majority of waste plastics are still either incinerated or sent to landfill. Of the fraction of plastics that are notionally recycled, most are actually 'downcycled' into lower-grade products which, at the end of their life, cannot be recycled further and are still discarded, thus simply delaying the negative environmental impact, as opposed to reducing it.
This project concerns a promising new process for converting waste plastics into petrochemical feedstock. The process involves the injection of waste plastics into a gas-fluidised bed of heated particles. Heat transferred to the plastic cracks long-chain molecules into shorter hydrocarbons which are then vaporised and extracted from the system, before being refined into valuable petrochemical products.
While this emergent technology shows considerable potential, there remain significant impediments to its further development, upscaling, and widespread adoption. While the cracking & distillation processes are well-understood, the internal dynamics of the fluidised beds used remain largely unknown. Further, unlike for classical fluids, there exist no known laws governing the behaviours of fluidised granular media, meaning that these behaviours - and their variation with key system parameters - cannot be reliably predicted. Consequently, the specific influences of key parameters such as the system geometry, the positioning of inlets for the injection of plastics, the properties of the particles used in the heating process, and the effect of the vaporisation of plastics on the system's dynamics remain unknown. This, in turn, means that the development and optimisation of the process represents a slow, costly and high-risk task, as any change to the system must be physically implemented in a full-sized pilot plant, with no guarantee of success.
This project aims to directly address these issues. Using cutting-edge experimental imaging techniques and computational modelling methods, we will attempt to gain a predictive understanding of the dynamical behaviours of multi-component gas-fluidised beds. This knowledge will allow us to establish scaling laws relating key system parameters mentioned above to crucial bed properties (e.g. recirculation rate, distribution of plastics, plastic residence time), as well as full numerical models, together enabling a) the informed and efficient operation and optimisation of current fluidised-bed-based recycling systems and b) the development of still more advanced systems.
Experiments will be performed using a variety of methods, notably positron emission particle tracking (PEPT), which allows the motion of particles to be tracked, in 3 dimensions, even within large, dense, opaque systems, with high temporal and spatial resolution - making it ideally suited to the current application. The PI's significant experience with PEPT, and his position at the University of Birmingham, which houses Europe's only PEPT facility, will facilitate extensive use of the technique, including the development of specialised systems capable of imaging full-scale industrial pilot plants in situ.
Experimental data obtained will be used to calibrate and validate numerical models coupling discrete element method and continuum fluid dynamics simulations so as to accurately reproduce the motion of both the particulate and gaseous components of the system. This numerical modelling will allow us to explore system modifications in a rapid, cost-effective and risk-free manner, circumventing the time, expense and risk associated with modifying or building new pilot plants, or sourcing, buying and testing new materials.
We will work closely with leaders in the field and pioneers of the technique, Recycling Technologies, ensuring clear and direct pathways to impact, and thus expedited economic benefits for UK industry.
This project concerns a promising new process for converting waste plastics into petrochemical feedstock. The process involves the injection of waste plastics into a gas-fluidised bed of heated particles. Heat transferred to the plastic cracks long-chain molecules into shorter hydrocarbons which are then vaporised and extracted from the system, before being refined into valuable petrochemical products.
While this emergent technology shows considerable potential, there remain significant impediments to its further development, upscaling, and widespread adoption. While the cracking & distillation processes are well-understood, the internal dynamics of the fluidised beds used remain largely unknown. Further, unlike for classical fluids, there exist no known laws governing the behaviours of fluidised granular media, meaning that these behaviours - and their variation with key system parameters - cannot be reliably predicted. Consequently, the specific influences of key parameters such as the system geometry, the positioning of inlets for the injection of plastics, the properties of the particles used in the heating process, and the effect of the vaporisation of plastics on the system's dynamics remain unknown. This, in turn, means that the development and optimisation of the process represents a slow, costly and high-risk task, as any change to the system must be physically implemented in a full-sized pilot plant, with no guarantee of success.
This project aims to directly address these issues. Using cutting-edge experimental imaging techniques and computational modelling methods, we will attempt to gain a predictive understanding of the dynamical behaviours of multi-component gas-fluidised beds. This knowledge will allow us to establish scaling laws relating key system parameters mentioned above to crucial bed properties (e.g. recirculation rate, distribution of plastics, plastic residence time), as well as full numerical models, together enabling a) the informed and efficient operation and optimisation of current fluidised-bed-based recycling systems and b) the development of still more advanced systems.
Experiments will be performed using a variety of methods, notably positron emission particle tracking (PEPT), which allows the motion of particles to be tracked, in 3 dimensions, even within large, dense, opaque systems, with high temporal and spatial resolution - making it ideally suited to the current application. The PI's significant experience with PEPT, and his position at the University of Birmingham, which houses Europe's only PEPT facility, will facilitate extensive use of the technique, including the development of specialised systems capable of imaging full-scale industrial pilot plants in situ.
Experimental data obtained will be used to calibrate and validate numerical models coupling discrete element method and continuum fluid dynamics simulations so as to accurately reproduce the motion of both the particulate and gaseous components of the system. This numerical modelling will allow us to explore system modifications in a rapid, cost-effective and risk-free manner, circumventing the time, expense and risk associated with modifying or building new pilot plants, or sourcing, buying and testing new materials.
We will work closely with leaders in the field and pioneers of the technique, Recycling Technologies, ensuring clear and direct pathways to impact, and thus expedited economic benefits for UK industry.
Organisations
People |
ORCID iD |
Christopher Windows-Yule (Principal Investigator) |
Publications
Che H
(2023)
A novel semi-resolved CFD-DEM method with two-grid mapping: Methodology and verification
in AIChE Journal
Che H
(2023)
PEPT validated CFD-DEM model of aspherical particle motion in a spouted bed
in Chemical Engineering Journal
Werner D
(2023)
Effect of system composition on mixing in binary fluidised beds
in Chemical Engineering Science
Herald M
(2023)
Monte Carlo Model of the Large Modular Array for Positron Emission Particle Tracking
in IEEE Access
Werner D
(2023)
Influence of nozzle design on flow, mixing, and fluidisation in a bubbling bed fluidised by a single nozzle
in Mechanics Research Communications
Herald M
(2023)
Improving the accuracy of PEPT algorithms through dynamic parameter optimisation
in Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Herald M
(2021)
Monte Carlo model validation of a detector system used for Positron Emission Particle Tracking
in Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Windows-Yule C
(2022)
Calibration of DEM simulations for dynamic particulate systems
in Papers in Physics
Che H
(2023)
Evaluation of coarse-grained CFD-DEM models with the validation of PEPT measurements
in Particuology
Herald M
(2022)
DEM2GATE: Combining discrete element method simulation with virtual positron emission particle tracking experiments
in Powder Technology
Description | 1) By comparing numerical simulations to high-quality, three-dimensional experimental data acquired using our unique Positron Emission Particle Tracking (PEPT) facilities, we have developed uniquely accurate models of diverse multiphase systems (notably fluidised and spouted beds). These systems are widely used in industry, with applications in chemicals manufacture, food, pharmaceutical secondary manufacture and waste plastic recycling, which forms the focus of the current project. The models will all be released fully-open-source at the conclusion of the project, where they will be of value to diverse researchers, both industrial and academic. 2) Following from the above, we have found reliable manners in which to efficiently model large, industrial-scale systems - a significant open challenge in the field. 3) Using the above tools, we have developed accurate models of industrial-scale plastic recycling systems, and used these systems to help optimise real--world plastic recycling processes. |
Exploitation Route | The project has produced, and will continue to produce a range of novel techniques and numerical models, including validated CFD-DEM and MP-PIC models of various systems of wide industrial and scientific relevance, detailed experimental PEPT data which will also be made freely available, and entirely novel computational methods for the CFD-DEM simulation of binary systems with high size ratios between particles - vital for the simulation of waste plastic pyrolysis, biomass gasification and various other processes of significant contemporary importance. |
Sectors | Aerospace Defence and Marine Agriculture Food and Drink Chemicals Energy Environment Manufacturing including Industrial Biotechology Pharmaceuticals and Medical Biotechnology |
Description | 1) The software developed during this project - including both PEPT software and/or CFD and/or DEM and/or optimisation software - is actively used by a number of industrial partners in the agriculture, chemical, defence, fast-moving consumer goods, food, and pharmaceutical sectors. 2) In terms of a societal impact, the findings have been used to improve methods for plastic recycling, offering clear, long-term societal benefits. The above-mentioned software are also being actively used to improve efficiency and (thus) lower emissions in a variety of industrial processes. |
Sector | Aerospace, Defence and Marine,Agriculture, Food and Drink,Chemicals,Digital/Communication/Information Technologies (including Software),Energy,Environment,Manufacturing, including Industrial Biotechology,Pharmaceuticals and Medical Biotechnology |
Impact Types | Societal Economic |
Description | Co-creating a digital platform for the rapid development of sustainable polymer products |
Amount | £624,188 (GBP) |
Funding ID | EP/Y025008/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 03/2024 |
End | 03/2026 |
Description | Improving ACCES: Toward the Multi-Tool, Multi-Parameter Optimisation of Complex Particulate Systems |
Amount | £46,882 (GBP) |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 06/2021 |
End | 04/2022 |
Description | International Exchanges 2022 Cost Share |
Amount | £24,000 (GBP) |
Organisation | The Royal Society |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 03/2023 |
End | 03/2025 |
Description | Modelling of Resonant Acoustic Mixing Parameters |
Amount | £64,000 (GBP) |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 03/2023 |
End | 04/2027 |
Description | Multiphase Materials Exploration Via Evolutionary Equation Discovery |
Amount | £57,477 (GBP) |
Funding ID | R127003 |
Organisation | Henry Royce Institute |
Sector | Academic/University |
Country | United Kingdom |
Start | 12/2021 |
End | 03/2022 |
Description | Optimisation of a vibro-packing process through simulation and experiment |
Amount | £86,000 (GBP) |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 03/2023 |
End | 03/2027 |
Description | Toward the Next Generation of Powder and Particle Characterisation Tools |
Amount | £50,000 (GBP) |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 08/2021 |
End | 09/2025 |
Title | DEM Digital Twins |
Description | A series of digital twins of widely-used powder characterisation tools which may be used for the calibration of discrete element method (DEM) simulations, which are widely used in multiple academic fields and industrial sectors. |
Type Of Material | Computer model/algorithm |
Year Produced | 2021 |
Provided To Others? | Yes |
Impact | The tools are currently in use by multiple industrial parties in the powder handling industries, including in the Pharma, Chemical and Food sectors. The tools have also formed the basis of a recent report for the INternational Fine Particle Research Institute, a consortium of >40 paying industry members, establishing a first "best practice" for the use of DEM simulations in industry. |
URL | https://github.com/uob-positron-imaging-centre/DigitalTwins |
Title | PEPT Benchmarks |
Description | A data set which may be used to benchmark new positron emission particle tracking (PEPT) algorithms. |
Type Of Material | Database/Collection of data |
Year Produced | 2021 |
Provided To Others? | Yes |
Impact | Through collaboration with multiple institutions, including King's college london, Virginia Commonwealth University, Stanford University, the University of Edinburgh and the University of Cape Town, the benchmarks have been used to assess the abilities of all current PEPT algorithms, providing an invaluable resource for users of the technique, present and future. |
URL | https://github.com/uob-positron-imaging-centre/PEPT-Algorithms-RoPP |
Description | CAS |
Organisation | Chinese Academy of Sciences |
Country | China |
Sector | Public |
PI Contribution | Provision of PEPT and CFD-DEM data and expertise therein. Co-applicant on Royal Society/ NFSC International Exchanges Scheme. |
Collaborator Contribution | Provision of two-fluid-model data, and expertise therein. Co-applicant on Royal Society/ NFSC International Exchanges Scheme. |
Impact | Major outcomes expected in later 2023 - currently early-stage collaboration. |
Start Year | 2023 |
Description | Recycling Technologies |
Organisation | Recycling technologies ltd |
Country | United Kingdom |
Sector | Private |
PI Contribution | 1) Provision of detailed positron emission particle tracking (PEPT) data from our unique PEPT facility. 2) Provision of numerical (CFD-DEM and MP-PIC) models of RT's systems 3) Use of the above-mentioned data and models to help optimise aspects of the company's processes. |
Collaborator Contribution | 1) Provision of lab-scale equipment representative of real plastic pyrolysis systems. 2) Provision of staff time in designing, building, operating various rigs throughout the project. 3) Access to a desk at their Swindon HQ and continual input and support from staff, including twice-weekly meetings throughout the project. 4) Access to pilot plants for on-site imaging experiments 5) Access to plant data |
Impact | 1) Patent for new heating methodology filed. 2) Development of open-source numerical models of fluidised-bed systems. 3) Optimisation of industrial plastic recycling processes. This collaboration is multi-disciplinary - chemical engineering, physics and mechanical engineering, as well as being academia-industry. |
Start Year | 2020 |
Description | Toulouse |
Organisation | National Polytechnic Institute of Toulouse (INP Toulouse) |
Country | France |
Sector | Academic/University |
PI Contribution | We are in the process of providing PEPT data from diverse fluidised bed systems which will be used for the calibration and validation of multi-fluid model (MFM) simulations. We are also providing CFD-DEM simulations of said systems for further comparison. |
Collaborator Contribution | Our partners will drive the development of novel MFM models of our systems of interest. Together, we plan to go for European funding relating to the same topic as this EPSRC grant (waste plastic recycling) |
Impact | Acquisition of a british academy pump primer grant. |
Start Year | 2022 |
Description | UCL |
Organisation | University College London |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Sharing of PEPT data, provision of CFD-DEM models of the systems jointly studied. |
Collaborator Contribution | Provision of x-ray radiography facilities and related staff time. |
Impact | We have conducted a first join PEPT-X-ray imaging campaign of a fluidised bed system. This work will be written up as a research paper, as well as being used to further develop and validate numerical models. Further collaborative work will be conducted during the remainder of the project. Multidisciplinary: physics and chemical engineering. |
Start Year | 2021 |
Title | DEM2GATE |
Description | An open-source tool allowing the complete simulation of PEPT experiments, using DEM and/or CFD-DEM to model system dynamics, and Monte Carlo simulations to model the relevant nuclear physics. The software can be used both for planning experiments in a cost effective and timely manner, but also to maximise the accuracy of DEM and CFD-DEM simulations by allowing highly precise calibration and validation. |
Type Of Technology | Software |
Year Produced | 2021 |
Open Source License? | Yes |
Impact | The software has been used to show the feasibility of PEPT experiments a priori, thus precipitating additional funding from industry. |
URL | https://github.com/uob-positron-imaging-centre/DEM2Gate |
Title | GPU PEPT |
Description | A nvel, GPU accelerated Positron Emission Particle Tracking technique, allowing realtime data acquisition |
Type Of Technology | New/Improved Technique/Technology |
Year Produced | 2023 |
Open Source License? | Yes |
Impact | Opens the door for real-time PEPT techniques with significant medical and industrial applications. |
URL | https://github.com/uob-positron-imaging-centre/pept |
Title | Novel PEPI |
Description | A novel implementation of Positron Emission Projection Imaging (PEPI) allowing the rapid acquisition of flow and mixing data from opaque systems. |
Type Of Technology | New/Improved Technique/Technology |
Year Produced | 2022 |
Open Source License? | Yes |
Impact | Applied on-site in an active industrial facility. Featured in the Ingenia magazine https://www.ingenia.org.uk/ingenia/issue-92/innovation-watch |
URL | https://www.ingenia.org.uk/ingenia/issue-92/innovation-watch |
Title | PEPT Repository |
Description | A repository containing full, open-access implementations of multiple algorithms for the performance of positron emission particle tracking (PEPT), including also several transferrable pieces of auxiliary software, e.g. trajectory separation routines. Since its inception, the repository has gained contributions from several international colleagues also. Note that while the repository itself was created prior to this grant, a number (indeed a majority) of significant features were only added during the grant period. |
Type Of Technology | Software |
Year Produced | 2020 |
Open Source License? | Yes |
Impact | The repository is currently used by several institutions around the world. |
URL | https://github.com/uob-positron-imaging-centre/pept |
Company Name | EvoPhase |
Description | EvoPhase provides industrial R&D consultancy services to help businesses optimise their equipment. |
Year Established | 2023 |
Impact | Though the company is very young and has yet to make a serious impact, we have gained contracts with several multinational companies to help them develop and optimise their systems; the results of these projects will likely be seen in the coming months. |
Website | https://evophase.co.uk/ |
Description | Girls in STEM |
Form Of Engagement Activity | Participation in an open day or visit at my research institution |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Schools |
Results and Impact | Outreach event for Girls in STEM |
Year(s) Of Engagement Activity | 2023 |
Description | Lorentz Workshop |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Workshop on plastic recycling attended by approximately 20 attendees from academia, industry and the third sector. Several outcomes, including multiple new industry collaborations. With new industry partners, applying for further funding including a Royal Society Industry Fellowship and a Prosperity Partnership |
Year(s) Of Engagement Activity | 2022 |
Description | Malaysia |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Undergraduate students |
Results and Impact | I have held several seminars and workshops with Taylor's University in Malaysia on the subject of waste plastic recycling. This has been done both as a recruitment activity for UoB (attempting to attract overseas students for postgraduate courses) as well as for purely educational reasons (the subject mater is relevant to students' design projects). The initial session sparked such interest that follow-ups were requested. |
Year(s) Of Engagement Activity | 2021,2022 |
Description | Open Days |
Form Of Engagement Activity | Participation in an open day or visit at my research institution |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Schools |
Results and Impact | The activity was an interactive talk on waste plastic recycling, focussing specifically on the work performed in this grant with Recycling Technologies. The subject matter was chosen as sustainability and the climate crisis are matters of deep concern to current students. The sessions regularly spark discussions and are subject to questions; students will often contact me by email after the session to learn more. The sessions have clearly provided impact, as in the personal statements submitted by applicants to the University, myself and the session are regularly mentioned by name as reasons for applying to Birmingham. |
Year(s) Of Engagement Activity | 2021,2022 |
Description | Open days with workshops |
Form Of Engagement Activity | Participation in an open day or visit at my research institution |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Schools |
Results and Impact | Ran workshops and gave opening talks at multiple events for school students. |
Year(s) Of Engagement Activity | 2022,2023 |
Description | Pfizer |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | A talk on my research and tools to Pfizer - the inaugural talk in a newly-developed lecture series |
Year(s) Of Engagement Activity | 2023 |
Description | Turing Institute Enrichment Scheme |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Postgraduate students |
Results and Impact | Speaker and panel member for the Alan Turing Institute's Enrichment Scheme Providing insight and advice for potential applicants based on my own experiences of success. |
Year(s) Of Engagement Activity | 2022,2023 |