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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

Stochastic Modelling for Reliability from Russia
2013-12-20

 

 Prof Maxim (MS) Finkelstein’s
The Russian professor first visited our university in 1993 and loved the environment. For the last 15 years we were fortunate to have had a man of Prof Maxim (MS) Finkelstein’s (65) stature as part of our Department of Mathematical Statistics.

“I like the atmosphere, the environment and the people of the UFS,” says Prof Finkelstein. “The UFS is a real campus, not part of the city as a lot of other universities in South Africa.”

Prof Finkelstein completed his MSc in Mathematical Physics from the Leningrad State University in the USSR in 1971. Maths and Physics have been a passion of his since a young age. In 1979, Prof Finkelstein completed his PhD in Mathematical Theory of Reliability at Leningrad Elektropribor Institute. Before his career at our university, Prof Finkelstein was a Senior Researcher at St. Petersburg Elektropribor Institute and an Associate Professor at Leningrad Technological Institute.

His long list of publications includes over 170 papers and five books. His monograph Failure Rate Modelling for Reliability and Risk was published by Springer in 2008. More recently another monograph – which was co-authored with JH Cha – was published by Springer in April 2013 and is called Stochastic Modelling for Reliability: Shocks, Burn-in, and Heterogeneous Populations.

Prof Finkelstein’s research interests include mathematical theory of reliability, survival analysis, risk and safety modelling, stochastic processes and stochastics in demography. When asked about leisure and life outside of research, the devoted academic’s response was as follows…

“To have publications, you have to work all the time. I work half of Saturdays and most of Sundays,” Prof Finkelstein says. “I spend three months a year in Russia and Germany – mostly during the European summer – for my research.”
“But apart from that, I like reading – classical Russian authors mostly. I swim in the UFS’s swimming pool almost every day and I play tennis as well.”

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