How Data Management Can Optimise Biogas Production and Reduce GHG Emissions
We recently had a successful site visit to install data management on a biogas plant in Porto. Data management is a powerful tool when applied to biogas production as it allows us to optimize the production process and reduce greenhouse gas (GHG) emissions. By collecting data from both gas and electric meters, we can make informed decisions about how to best utilize the biogas plant and help to protect our planet.
Real-Time Data Management
Businesses in all industries can improve their operational efficiency and save time, costs and effort by using data more effectively. The biogas industry is generating vast quantities of real-time data through sensors deployed in its systems, but it could be making much better use of it to improve its business processes.
Real-time data allows companies to identify and possibly prevent safety or production issues, scheduled maintenance and repairs more efficiently, and optimise their operations. It creates a database of information that can be analysed to improve procedures even further.
Comparing previous results with real-time data can spot inefficiencies and resolve them; personnel can be deployed more effectively and safely; downtime reduced; production maximised; response times improved. Systems can be set up where real-time data is available to everyone who needs it, increasing efficient communication, task generation and target setting.
Benefits of Data Management
The biogas industry relies heavily on data management. This is especially true of the real-time data management that it requires.
The biogas industry must be able to collect and manage large amounts of data to ensure that it can operate as efficiently as possible. Many processes in this industry are automated, so they need a reliable way to collect and analyse their data as quickly as possible.
When collecting data, the first step is always gathering information about what has happened over time. This allows for predictive models to be built which can be used for predicting future events based on past data points. The second step is using this information to make decisions about how best to move forward with various projects or operations within an organization or industry sector (such as whether or not an investment should be made into new technology).
This requires a high level of accuracy and precision when collecting data, which means having systems in place that can process this information quickly across multiple locations and many different platforms
Case Study: Porto Biogas Plant
We recently completed a site visit to our Porto plant to ensure the Qube team was installing a real-time data management system that would capture plant data, meter readings, GHG emissions and plant failures.
We installed a Modbus data logger, Weidmuller network switch and wired in and addressed the Gas and Electric Meter real-time data management.
In addition to ensuring the plant data was transmitted through to the Qube Mobile App, we also wanted to ensure that information could be accessed via our web-based interface. This would allow us to see plant issues and analyse data in real-time.
Qube Renewables has been using the Qube App technology for some time now, the plant is currently being mended through the AD Doctor service provided by Qube. This plant has been able to download data, but they have never had access to real-time data before. We are excited about this new partnership that will bring our customers closer to their plants than ever before!