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Webinar on demand

Calculate Steam Mass Balances and Report Monthly Consumption

60
min
min read

In this webinar, we are tapping into how the latest advanced analytics are driving sustainability within process manufacturing, particularly when it comes to energy management. In this section, the experts reveal how the TrendMiner analytics platform uncovers inefficiency and optimization potentials within critical steam systems of energy-intensive industries. They demonstrate how such data could be put to use in practical cases, for instance, when calculating the mass balances for steam or identifying where there is a possibility of leakage or inefficiency in the system with real-time monitoring and prediction of data.

About the Speakers

Laura
Laura Linnig, Former Head of Customer Success DACH

Laura Linnig is a Former Head of Customer Success DACH at TrendMiner ensuring that our customers will get the best support from her team making them successful with their investment in TrendMiner. Being a Customer Success Manager herself she is passionately working towards delivering tangible and meaningful outcomes in mutual understanding with our customer base. Working for +20 years in knowledge & change management, communication, and innovation-related roles in the IT industry fostering an environment for knowledge exchange & learning comes as second nature to her.

Louis Nitzschke, Data Analytics Engineer

Louis Nitzschke is a Data Analytics Engineer at TrendMiner and part of the Customer Success team in the DACH region. He utilizes his degree in chemical and bioprocess engineering to support users along their analytics journey. He wants to help customers to use data for a more sustainable future and has focused specifically on water and wastewater treatment use cases.

Energy & natural resources
Operational Performance Management
Asset Performance Management
Energy Management
Plant Manager
Process Engineer
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In this webinar, we are tapping into how the latest advanced analytics are driving sustainability within process manufacturing, particularly when it comes to energy management. In this section, the experts reveal how the TrendMiner analytics platform uncovers inefficiency and optimization potentials within critical steam systems of energy-intensive industries. They demonstrate how such data could be put to use in practical cases, for instance, when calculating the mass balances for steam or identifying where there is a possibility of leakage or inefficiency in the system with real-time monitoring and prediction of data.

About the Speakers

Laura
Laura Linnig, Former Head of Customer Success DACH

Laura Linnig is a Former Head of Customer Success DACH at TrendMiner ensuring that our customers will get the best support from her team making them successful with their investment in TrendMiner. Being a Customer Success Manager herself she is passionately working towards delivering tangible and meaningful outcomes in mutual understanding with our customer base. Working for +20 years in knowledge & change management, communication, and innovation-related roles in the IT industry fostering an environment for knowledge exchange & learning comes as second nature to her.

Louis Nitzschke, Data Analytics Engineer

Louis Nitzschke is a Data Analytics Engineer at TrendMiner and part of the Customer Success team in the DACH region. He utilizes his degree in chemical and bioprocess engineering to support users along their analytics journey. He wants to help customers to use data for a more sustainable future and has focused specifically on water and wastewater treatment use cases.

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