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26 May 2020 | Story Valentino Ndaba | Photo iStock
UFS campuses are transforming into research instruments while simultaneously improving campus operations through the Smart Grid initiative.

Imagine living in a smart home. Imagine monitoring your household’s electricity usage via an integrated system that would notify you of your daily electricity use, peak usage times, and tariffs and consumption at the location of the house. As a user, you would be able to take advantage of such information in order to manage your resources in a more efficient manner. This is just one example of what a Smart Grid can do.

The University of the Free State’s (UFS) Faculty of Natural and Agricultural Sciences has teamed up with the Department of University Estates to drive our very own Smart Grid initiative that is transforming the university’s power network into one with full control and monitoring. “A Smart Grid allows for resource optimisation and asset protection, especially in times like these,” said Nicolaas Esterhuysen, Director of Engineering Services. 

Why is it important for our university to have a Smart Grid?
Dr Jacques Maritz, Lecturer of Engineering Sciences at the Faculty, considers a Smart Grid the natural evolution of power grids in the era of Big Data, IoT and Machine Learning. Resources such as electricity, water and steam can now be monitored and controlled to promote savings and the protection of valuable infrastructure. “Aiming towards Smart Grid status, the UFS will improve resource service-delivery to its staff and students, while sculpting a digital twin of its campus’s power grid, consumer network and resource generators,” he added.
  
How will a Smart Grid improve student success?
The integrity, sustainability and continuous supply of energy directly affects the academic project on all three campuses. The implementation of a Smart Grid could allow improved service delivery and reaction time when any utility is interrupted, as well as maintaining the valuable infrastructure that serves the UFS community.

In what way does a Smart Grid improve the lives of staff members?
According to Dr Maritz  and Esterhuysen: “A Smart Grid will support staff to perform their teaching and research duties in a seamless manner, continuously optimising the energy that they consume to enable full comfort and reliability in energy supply, whilst simultaneously generating savings in energy and preventing wastage.”

The UFS already boasts most of the fundamental building blocks associated with the Smart Grid initiative, especially focusing on monitoring, grid protection, centralised and decentralised solar PV generation and software platforms to serve all these domains. However, to integrate all of these domains into one digital real-time paradigm will be a first for the UFS.

Some examples of the UFS smart grid applications currently in practice
Real-time remote monitoring and control that focuses on the following:
- We are able to detect power outages and don’t have to rely on customer complaints. This enables faster response time and fault identification, thus less downtime and an increase in reliability;
- Solar plant generation; 
- Monitoring our standby generation fleet; 
Identifying usage patterns and saving thereof;
Benchmarking buildings in terms of application usage, area or occupancy to determine energy efficiency and identify savings; and condition-based preventive maintenance that will increase reliability while saving costs.

News Archive

Death may come in adorable little packages
2015-03-23

The main host of the Lassa virus is the Natal Mulimammate mouse.

Photo: Supplied

Postdoctoral researcher, Abdon Atangana, of the Institute for Groundwater Studies at the university recently published an article online about the Lassa Haemorrhagic fever in the Natural Computing Applications Forum. In addition to the terminal transmissible sickness recognised as Ebola haemorrhagic fever, there is another strain called Lassa haemorrhagic fever.

The disease is classified under the arenaviridae virus family. The first outbreaks of the disease were observed in Nigeria, Liberia, Sierra Leone, and the Central African Republic. However, it was first described in 1969 in the town of Lassa, in Borno State, Nigeria.

The main host of the Lassa virus is the Natal Mulimammate mouse, an animal indigenous to most of Sub-Saharan Africa. The contamination in humans characteristically takes place through exposure to animal excrement through the respiratory or gastrointestinal tracts.

Mouthfuls of air containing tiny particle of infective material are understood to be the most noteworthy way of exposure. It is also possible to acquire the infection through broken skin or mucous membranes that are directly exposed to the infective material.

“The aim of my research was to propose a novel mathematical equation used to describe the spread of the illness amongst pregnant women in West Africa. To achieve this, I used my newly-proposed derivative with fractional order called beta-derivative. Since none of the commonly used integral transform could be used to derive the solution of the proposed model, I proposed a new integral transform called Atangana-Transform, and used it, together with some iterative technique, to derive the solution of the model.

“My numerical simulations show that the disease is as deadly amongst pregnant women as Ebola,” Abdon said.

Abdon’s research was submitted to one of Springer’s top-tier journals with an impact factor 1.78. The paper was accepted and published February 2015.

Read more about Abdon’s research.

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