The core vison is to help and visualize Energy savings to the users of aeration blowers, enabling them to grasp concepts and the true Life cycle cost better using a specialized service tool. This tool will act as a guiding light, steering them towards prudent decisions regarding energy optimizations. Through enhanced transparency surrounding both the Blower and the operational process, we adopt an analytical stance by continually gathering real-time performance data. This data will be transformed, assessed, and presented visually to spotlight potential energy savings. Our goal is to democratize this information, empowering you to make well-informed judgments on enhancements, rooted in comprehensive considerations of Life Cycle Cost (LCC) and Return on Investment (RoI). packed into a globally used platform for all users to share there best practise, so we all can support and improve the global gaols to reduce the CO2 Emission.
Energy is becoming a more significant resource concern, impacting both cost and the CO2 footprint. It is essential to monitor and improve its efficiency during operation. Compressed air is a crucial element in many applications, but it also stands as one of the most significant energy consumers in the process.
Aeration systems, particularly those used in biological treatment for wastewater treatment plants, represent a substantial source of energy consumption, with approximately 2.5% of the national energy consumption dedicated to cleaning wastewater. More than 50% of this energy is used to power the compressors that supply oxygen to the aeration process.
When looking at operational costs for a period af 20 years, more than 95% is spent on energy. In this limited area, CompEval can make a significant impact with real-time data to visualize potential savings and reduce energy consumption within vital areas such as: Compressor, valves, pipework, membranes, control, and service intervals etc. With an average saving of more than 10% Energy.
The most efficient way to introduce oxygen into the water is through bottom diffused aeration, where compressed air is used in the system.
Several factors impact power consumption in the compressed air system and the surrounding processes, collectively accounting for 50% of the electrical grid's power demand.
These factors include:
While the first two factors are influenced by external conditions, the last three are determined by the equipment used in the aeration process, such as blower selection, valves, oxygen transfer efficiency, blower building design, pipes, and may change over time due to wear and clogging.
By installing Compeval and using thermodynamic heat balance, we can analyze real-time data to pinpoint changes in pressure, flow, and temperature. This allows us to identify areas within the process that can be optimized. The associated costs and payback time for implementing these optimizations can be determined.
All of these elements combined can provide you with a Life Cycle Assessment overview, allowing you to demonstrate to the world that you are on the right track towards achieving the sustainable goal of CO2 reduction.
CompEval provides a comprehensive consultancy solution that starts with initial investigations to identify potential optimizations. We implement sensors to collect real-time data, analyze the data, and offer investment recommendations. This service is especially valuable for OPEX driven equipment suppliers, Energy consultants or users of compressors, who may not feel confident in assessing the right optimization strategies for blowers and the surrounding processes. From initial hunches to fully validating the optimization before investing in equipment, we guide you every step of the way.
We are a service provider that monitors real-time data and visualizes energy savings in the aeration process during operation.
Are you one of those individuals who have a strong sense that there is potential for energy improvements in your process but struggle to find the time and resources to validate or document it for your management? If so, reach out to CompEval, and we will assist you with:
“While we cannot predict the future with certainty, we can use historical data to make qualified predictions”.
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