The energy transition presents challenges and opportunities to (gas) distribution network operators. As gas network operators adjust to the changing energy mix, they will start distributing alternative, more sustainable gasses through their networks, such as biomethane and hydrogen, possibly mixed with natural gas. Given the added complexity introduced by these additional gas sources and blends, they will need to carry out feasibility and impact assessment studies, as well as perform ongoing analysis of the network operation, to ensure safe and reliable operation. This puts a high reliance on the ability to build accurate and consistent flow models of the gas network, as well as integrate data from sources such as GIS, and SCADA or possibly edge monitoring devices. Given the pace of change, and the requirements to provide ever more data for analysis and insights, gas network operators are looking to ways of automating key processes within their business. This paper will present two real world case study examples of how data from GIS, SCADA & edge devices have been used to create high reliability models, reducing data errors, automating previously manual processes, and allowing network analysts to focus on value adding activities. With the integration of field data, the network modelling is moved closer to ‘real time’ by automatically updating the models with live data. Scenarios are set up to run automatically or on demand/by event providing reports that are published across the business on company dashboards.
How Two Gas Network Operators Prepared for the Energy Transition by Automating Key Network Analysis Functions
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