The project was originally planned for 24 months. However, early in the project, the Marie Curie fellow was offered a professorship position, and decided to accept this offer. As a consequence, the project was cut short to 9 months, resulting in a reduced amount of work that was completed in the project. The work achieved in the 9 months centred around (1) project management, (2) research and (3) personal development.
Project management
A career plan and a data management plan were developed. It focused on how to balance publications, teaching and writing research proposals, and creating opportunities for students and collaborators where possible. Quality over quantity is a key principle of the career plan. The data management plan inscribed best practices in terms of open data and the associated FAIR principles as well as protecting personal data.
Research
The fellow teamed up with colleagues from Bilkent University and Carnegie Mellon on a literature review on rural electrification optimisation approaches with a multi-criteria angle. 111 research papers were selected for the reivew and coded according to the mathematical problem category, implemented renewable technologies, solution methodology, context, scale and their SDG relevance for all 17 SDGs.
Furthermore, the fellow developed and published a conceptual framework for integrated, energy-enabled development (see attached figure). The paper draws on the recent literature and on numerous short case examples, mainly from East African contexts.
The fellow started to develop a Mixed-Integer Linear Programming (MILP) model which integrates off-grid energy system and supply chain planning. The model identifies the optimal mix of electricity sales to external customers (USD/kWh), as well as electricity-enabled products and services (USD/kg and USD/hour, respectively) across different agricultural and manufacturing supply chains. First solution approaches have been developed and tested.
The next steps include implementing the mathematical formulation I have developed, solving it for a number of instances of the Ugandan fish value chain example, and ultimately expanding it to explicitly include the impact on different SDGs.
Personal development
The fellow took several formal training courses throughout the 9 months of the Marie Curie fellowship. He enrolled in a free online self-taught course of advanced programming in Python, and also did a course in geospatial modelling. In addition, he took several online courses at the University of Oxford on research soft skills, namely on research integrity, open research principles and data management. The learning experience was greatly enhanced through his active participation in the activities my host institution offered.