Modelling of High Performance OPVs with integrated storage

Lead Research Organisation: Durham University
Department Name: Engineering

Abstract

Organic Photovoltaic diodes (OPVs) have been the subject of intense research for more than 20 years due to the possibility of cheap, scalable manufacture of a renewable energy source which is well-suited to small-scale generation. For much of that time, tweaks in molecular structure and processing yielded devices with non-viable efficiencies of 7% or less. However, recent step-changes in OPV efficiency to above 17% have been demonstrated for Tandem architectures (Meng et al., Science, 361, 1094 (2018)), suggesting that Tandem devices are the key to unlocking the potential of organic semiconductors for energy generation.

A roadblock in the development of Tandem OPVs is the lack of accurate device simulations to i) enable rational design of the complex multi-layer structure and ii) understand the key issues of Tandem OPVs separate to single junction OPVs. Tandem OPV development therefore relies upon trial-and-error optimisation and simplistic detailed-balance analyses. These simple models ignore the details of many aspects of Tandem OPV performance that have been shown to be important in single-junction devices, such as morphology dependence of geminate and non-geminate recombination, internal electric field distribution, and charge injection to name a few.

This project may also extend to consider modelling of integrated storage with OPV modules, focussing on the role materials selection has upon performance, and ultimately integrated system characteristics.

Planned Impact

ReNU's enhanced doctoral training programme delivered by three uniquely co-located major UK universities, Northumbria (UNN), Durham (DU) and Newcastle (NU), addresses clear skills needs in small-to-medium scale renewable energy (RE) and sustainable distributed energy (DE). It was co-designed by a range of companies and is supported by a balanced portfolio of 27 industrial partners (e.g. Airbus, Siemens and Shell) of which 12 are small or medium size enterprises (SMEs) (e.g. Enocell, Equiwatt and Power Roll). A further 9 partners include Government, not-for-profit and key network organisations. Together these provide a powerful, direct and integrated pathway to a range of impacts that span whole energy systems.

Industrial partners will interact with ReNU in three main ways: (1) through the Strategic Advisory Board; (2) by providing external input to individual doctoral candidate's projects; and (3) by setting Industrial Challenge Mini-Projects. These interactions will directly benefit companies by enabling them to focus ReNU's training programme on particular needs, allowing transfer of best practice in training and state-of-the-art techniques, solution approaches to R&D challenges and generation of intellectual property. Access to ReNU for new industrial partners that may wish to benefit from ReNU is enabled by the involvement of key networks and organisations such as the North East Automotive Alliance, the Engineering Employer Federation, and Knowledge Transfer Network (Energy).

In addition to industrial partners, ReNU includes Government organisations and not for-profit-organisations. These partners provide pathways to create impact via policy and public engagement. Similarly, significant academic impact will be achieved through collaborations with project partners in Singapore, Canada and China. This impact will result in research excellence disseminated through prestigious academic journals and international conferences to the benefit of the global community working on advanced energy materials.

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/S023836/1 01/04/2019 30/09/2027
2276902 Studentship EP/S023836/1 01/10/2019 30/09/2023 Cai Williams
 
Description Please see the key findings of EPSRC grant 2276902
Exploitation Route Through the use of the models and techniques used/developed during this project the consideration of several "real world" factors could be considered for laboratory scale lab development. Allowing for alternative objective functions to be considered, or optimisation for specific geographic locations.
Sectors Electronics,Energy,Environment

 
Description Please see the key findings of EPSRC grant 2276902
 
Title Plant Dispatch Model 
Description A model allowing for historical electrical grid data reassessed with the capacity of respective assets scaled, or new assets to be introduced. Performance metrics such as carbon equivalent emissions, and capacity factor can be used to assess the impact of the scaling or introduction of new technologies. 
Type Of Material Computer model/algorithm 
Year Produced 2022 
Provided To Others? Yes  
Impact The model has been used to assess the impacts of introducing photovoltaics with enhanced efficiency under low light levels to the UKs grid this work is now under review for publication 
 
Description Device Cost Benefit Assesment 
Organisation University of Glasgow
Department School of Engineering Glasgow
Country United Kingdom 
Sector Academic/University 
PI Contribution Data was given by us to our partner as regards to the structure and characteristics of dye sensitised solar cells
Collaborator Contribution The partner performed a cost-benefit analysis of these devices to arrive at an estimation of their cost per unit area.
Impact Paper under Review.
Start Year 2022
 
Description Device Fabrication by Freitag Group 
Organisation Newcastle University
Department School of Chemistry
Country United Kingdom 
Sector Academic/University 
PI Contribution From characteristics provided by our partners, we are able to virtually introduce dye sensitised solar cells to the grid. Through the use of our plant dispatch model, the impact of these types of devices was explored.
Collaborator Contribution The Freitag group fabricated a series of dye sensitised solar cells with varying levels of low light efficiency enhancement in order to show we are able to control this property. Two methods were demonstrated, varying electrolyte concentrations and photoanode thickness. These devices were characterised under varying levels of Irradiance and this data was shared.
Impact Paper under review.
Start Year 2022