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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

Water erosion research help determine future of dams
2017-03-07

Description: Dr Jay le Roux Tags: Dr Jay le Roux

Dr Jay le Roux, one of 31 new NRF-rated
researchers at the University of the Free State,
aims for a higher rating from the NRF.
Photo: Rulanzen Martin

“This rating will motivate me to do more research, to improve outcomes, and to aim for a higher C-rating.” This was the response of Dr Jay le Roux, who was recently graded as an Y2-rated researcher by the National Research Foundation (NRF).

Dr Le Roux, senior lecturer in the Department of Geography at the University of the Free State (UFS), is one of 31 new NRF-rated researchers at the UFS. “This grading will make it possible to focus on more specific research during field research and to come in contact with other experts. Researchers are graded on their potential or contribution in their respective fields,” he said.

Research assess different techniques
His research on water erosion risk in South Africa (SA) is a methodological framework with three hierarchal levels presented. It was done in collaboration with the University of Pretoria (UP), Water Research Commission, Department of Agriculture, Forestry and Fisheries, and recently Rhodes University and the Department of Environmental Affairs. Dr Le Roux was registered for 5 years at UP, while working full-time for the Agricultural Research Council – Institute for Soil, Climate and Water (ARC-ISCW).

Water erosion risk assessment in South Africa: towards a methodological framework
, illustrates the most feasible erosion assessment techniques and input datasets that can be used to map water erosion features in SA. It also emphasises the simplicity required for application at a regional scale, with proper incorporation of the most important erosion-causal factors.

The main feature that distinguishes this approach from previous studies is the fact that this study interprets erosion features as individual sediment sources. Modelling the sediment yield contribution from gully erosion (also known as dongas) with emphasis on connectivity and sediment transport, can be considered as an important step towards the assessment of sediment produce at regional scale. 
 
Dams a pivotal element in river networks

Soil is an important, but limited natural resource in SA. Soil erosion not only involves loss of fertile topsoil and reduction of soil productivity, but is also coupled with serious off-site impacts related to increased mobilisation of sediment and delivery to rivers.

The siltation of dams is a big problem in SA, especially dams that are located in eroded catchment areas. Dr Le Roux recently developed a model to assess sediment yield contribution from gully erosion at a large catchment scale. “The Mzimvubu River Catchment is the only large river network in SA on record without a dam.” The flow and sediment yield in the catchment made it possible to estimate dam life expectancies on between 43 and 55 years for future dams in the area.
 
Future model to assess soil erosion
“I plan to finalise a soil erosion model that will determine the sediment yield of gully erosion on a bigger scale.” It will be useful to determine the lifespan of dams where gully erosion is a big problem. Two of his PhD students are currently working on project proposals to assess soil erosion with the help of remote sensing techniques.

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