Development and implementation of a digital sensor-based real-time water quality

monitoring system (with early warning)

Location:

 

Međuvršje HP plant
Serbia

Development and implementation of a digital sensor-based real-time water quality monitoring system (with early warning)

Location:

 

Međuvršje HP plant
Serbia

Partner:

EPS, Elektroprivreda Srbije, is a key player in Serbia’s energy sector, responsible for generating, transmitting, and distributing electricity. Operating various power plants, EPS ensures a stable power supply for the country.

Challenges:

The Ovčar-Kablar gorge, designated as an area of exceptional characteristics, houses concrete dams that have created the Ovčar Banja and Međuvršje reservoirs, significantly altering ambient conditions for aquatic life. Unfortunately, measurements indicate that the Međuvršje reservoir is highly polluted, impacting its intended uses for drinking water, agricultural irrigation, and recreational purposes. To address this issue and enhance the socio-economic potential of Međuvršje hydropower plant, a solution involving robust sensors is necessary.

By integrating automated monitoring of biochemical and physical water properties, coupled with understanding and modelling of collected data, a real-time water quality monitoring system will be developed. This system, equipped with early warning capabilities, aims to provide detailed insights into water quality dynamics (both upstream and downstream of the water catchment area). Collaborating with existing monitoring data, it will support decision-making processes for the hydropower plant, fostering moreefficient and timely management. This use case represents a significant step in advancing the understanding of environmental and socio-economic aspects related to the Međuvršje hydropower plant.

Objectives:

Develop a robust real-time water quality monitoring system with early warning capabilities to assess and understand the dynamics of water quality.

Enhance the management of the HP plant by integrating the digital sensor-based monitoring system with existing data sources to improve efficiency and expedience.

Enable informed decision-making processes by providing reliable, up-to-date information on environmental impact and socio-economic sustainability.