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27 June 2025 | Story University of the Free State | Photo Supplied
Ecological Engineering
Dr Jacques Maritz, Albert van Eck, and Dr Nola Redelinghuys are among the University of the Free State researchers driving an interdisciplinary project that combines social insight, high-performance computing, and ecological engineering to support South Africa’s just energy transition.

The University of the Free State (UFS) is taking bold steps to address the complexities of South Africa’s energy transition by combining expertise across disciplines, innovative technologies such as high-performance computing (HPC), and active student involvement. This forward-thinking approach is positioning the UFS at the forefront of solving real-world challenges linked to renewable energy adoption and social dynamics, while equipping students with future-ready skills.

 

Interdisciplinary solutions for a just energy transition

“Current grand challenges – the pressing societal and scientific problems shaping research at the UFS and globally – require students and researchers to include computational approaches such as modelling, simulations, and large-scale data analysis,” says Dr Jacques Maritz, Head of the Unit for Engineering Sciences at the UFS.

“One such example is in merging social dynamics with energy paradigms – two seemingly different worlds, yet connected via scientific elegance,” says Dr Maritz. Energy decisions, such as shifting to renewables, are shaped by the behaviour of communities, governments, and industries. As a recent response to these challenges, ecological and nature-based engineering sciences at the UFS aim to integrate human activity into nature, while benefiting both via the merging of computation, ecological engineering sciences, nature-based solutions, and data-driven complexity science. 

The UFS’ pioneering project models these complex social-energy relationships to better understand how South Africa can sustainably and justly transition from fossil fuels to renewable energy. This interdisciplinary effort involves researchers and students from physics, sociology, engineering, data science, and mathematical modelling working together to map these interdependencies shaped by economic, political, cultural, and community forces.

For students such as Lurgasho Minnie, a final-year MSc Astrophysics student, this interdisciplinary exposure is transformative. “It has given me a new lens or perspective on approaching and solving problems in my field of research. By approaching challenges from an interdisciplinary point of view, new methods and techniques can be applied to solve challenging problems,” he says.

A crucial part of this research involves modelling dynamic social-energy networks using systems thinking, network analysis, and scenario planning. These tools help simulate interactions between government policies, community behaviour, environmental impacts, and technological innovations, allowing researchers to predict and plan for different future scenarios.

Students are actively shaping this work. The first set of social data was collected by UFS students on the Qwaqwa Campus, with training and support from the Centre for Global Change and Student Affairs. These data-gathering efforts are not only enriching the research but also building students' skills in real-world data collection and analysis.

“One of the study objectives is to inform the development of an awareness campaign about the complexities inherent in transitioning from a predominantly non-renewable to a renewable energy system, firstly aimed at UFS students but ultimately at the broader community,” explains Dr Nola Redelinghuys, Senior Lecturer in Sociology at the UFS.

The research team also hopes to help shape sustainable energy solutions for the university itself, with plans to create a renewable energy supply network that balances energy demand and renewable supply across the UFS campuses.

 

High-performance computing powering new insights 

At the heart of this initiative is the UFS High-Performance Computing (HPC) Unit, which enables researchers to run complex simulations and process vast data sets. The HPC is essential for solving problems that require immense computing power and data storage, and the UFS is making these resources accessible to a growing number of students – even those from non-computational disciplines.

“The eResearch and HPC team promotes the development of new skills and knowledge to harness the power of HPC and expand one’s technological abilities to solve problems. The HPC staff must first train a student or researcher to use the system effectively before using their toolsets. Thereafter, students can streamline or even automate specific processes by using a collection of more generic toolsets. Even if not using an HPC daily (or after entering the workforce), the HPC methodologies and toolsets they are exposed to often change how a person approaches future problem sets. Students using the HPC are more likely to share their experiences and are encouraged to assist other students in their department to lessen the burden of entry for newcomers. This broadens the collective knowledge within a department on their toolsets and how to use them effectively,” says Albert van Eck, Director of the UFS HPC.

Students can also learn how to build and configure basic HPC clusters through freely available training materials, opening doors to careers in private cloud hosting, data science, genomics, and other tech industries. By focusing on open-source tools, the UFS ensures that students acquire industry-relevant skills without being locked into specific software vendors.

The project is also laying the groundwork for partnerships with renewable energy companies, technology firms, NGOs, and development agencies. These collaborations will strengthen the UFS’ industry ties and create more work-integrated learning (WIL) opportunities for students.

As part of UFS Vision 130, this project advances academic excellence, societal impact, and inclusivity. By involving diverse staff and students from both the Bloemfontein and Qwaqwa Campuses, it demonstrates the university’s commitment to building a future-ready, skilled, and socially conscious graduate community prepared to tackle South Africa’s energy challenges.

In a country grappling with energy security and the need for a just transition, the UFS’ approach – blending social insight, cutting-edge technology, and student empowerment – offers a valuable model for addressing one of the nation’s most pressing development priorities.

News Archive

Fight against Ebola virus requires more research
2014-10-22

 

Dr Abdon Atangana
Photo: Ifa Tshishonge
Dr Abdon Atangana, a postdoctoral researcher in the Institute for Groundwater Studies at the University of the Free State (UFS), wrote an article related to the Ebola virus: Modelling the Ebola haemorrhagic fever with the beta-derivative: Deathly infection disease in West African countries.

“The filoviruses belong to a virus family named filoviridae. This virus can cause unembellished haemorrhagic fever in humans and nonhuman monkeys. In literature, only two members of this virus family have been mentioned, namely the Marburg virus and the Ebola virus. However, so far only five species of the Ebola virus have been identified, including:  Ivory Coast, Sudan, Zaire, Reston and Bundibugyo.

“Among these families, the Ebola virus is the only member of the Zaire Ebola virus species and also the most dangerous, being responsible for the largest number of outbreaks.

“Ebola is an unusual, but fatal virus that causes bleeding inside and outside the body. As the virus spreads through the body, it damages the immune system and organs. Ultimately, it causes the blood-clotting levels in cells to drop. This leads to severe, uncontrollable bleeding.

Since all physical problems can be modelled via mathematical equation, Dr Atangana aimed in his research (the paper was published in BioMed Research International with impact factor 2.701) to analyse the spread of this deadly disease using mathematical equations. We shall propose a model underpinning the spread of this disease in a given Sub-Saharan African country,” he said.

The mathematical equations are used to predict the future behaviour of the disease, especially the spread of the disease among the targeted population. These mathematical equations are called differential equation and are only using the concept of rate of change over time.

However, there is several definitions for derivative, and the choice of the derivative used for such a model is very important, because the more accurate the model, the better results will be obtained.  The classical derivative describes the change of rate, but it is an approximation of the real velocity of the object under study. The beta derivative is the modification of the classical derivative that takes into account the time scale and also has a new parameter that can be considered as the fractional order.  

“I have used the beta derivative to model the spread of the fatal disease called Ebola, which has killed many people in the West African countries, including Nigeria, Sierra Leone, Guinea and Liberia, since December 2013,” he said.

The constructed mathematical equations were called Atangana’s Beta Ebola System of Equations (ABESE). “We did the investigation of the stable endemic points and presented the Eigen-Values using the Jacobian method. The homotopy decomposition method was used to solve the resulted system of equations. The convergence of the method was presented and some numerical simulations were done for different values of beta.

“The simulations showed that our model is more realistic for all betas less than 0.5.  The model revealed that, if there were no recovery precaution for a given population in a West African country, the entire population of that country would all die in a very short period of time, even if the total number of the infected population is very small.  In simple terms, the prediction revealed a fast spread of the virus among the targeted population. These results can be used to educate and inform people about the rapid spread of the deadly disease,” he said.

The spread of Ebola among people only occurs through direct contact with the blood or body fluids of a person after symptoms have developed. Body fluid that may contain the Ebola virus includes saliva, mucus, vomit, faeces, sweat, tears, breast milk, urine and semen. Entry points include the nose, mouth, eyes, open wounds, cuts and abrasions. Note should be taken that contact with objects contaminated by the virus, particularly needles and syringes, may also transmit the infection.

“Based on the predictions in this paper, we are calling on more research regarding this disease; in particular, we are calling on researchers to pay attention to finding an efficient cure or more effective prevention, to reduce the risk of contamination,” Dr Atangana said.


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