Webinar on demand

EnergyLab: Calculate Steam Mass Balances and Report Monthly Consumption

hosted by TrendMiner

Duration:  60 minutes (55 minutes presentation + 5 minutes Q&A)

     Click this icon in player to easily navigate through the video chapters

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 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 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.

Video Chapters Overview 

In this session, the main focus is on empowering all staff at their respective levels to use data analytics in the operation for informed decision-making so that the core objective – sustainable energy management could be realized. Engaging demos, reinforced with actionable insights, covering immediate value and impact when integrating advanced analytics into daily operations.

  Watch this chapter

This part unravels the power of data analytics in figuring out hidden energy-saving opportunities and strategic decisions towards a more sustainable future.

  Watch this chapter

This chapter discusses the typical industries’ barriers on the way to sustainability. From regulatory pressure to technological constraints, this section provides a very comprehensive review of the barriers and, at the same time, ways to evade them successfully.

  Watch this chapter

In this section the core functionalities of TrendMiner are explained and the way they can revolutionize your approach to process efficiency and energy management. This chapter highlights the software’s ability to turn data into actionable insights for sustainable practices.

  Watch this chapter

Uncover how TrendMiner facilitates effective energy management, enabling businesses to optimize consumption, reduce waste, and achieve their sustainability objectives. Real-world examples illustrate the impact of data-driven energy strategies.

  Watch this chapter

Dive into a practical use case demonstrating how to leverage TrendMiner for calculating steam mass balances, a crucial aspect of energy management in process industries. This example showcases the software’s utility in identifying efficiency improvements.

  Watch this chapter

Experience TrendMiner in action through a comprehensive demo that brings to life the software’s capabilities in addressing energy management challenges. Witness firsthand how intuitive analytics can empower industries to advance their sustainability agenda.

  Watch this chapter

Recap the journey from identifying sustainability challenges to achieving tangible outcomes through data-driven strategies. This concluding chapter reinforces the webinar’s key takeaways and the transformative potential of leveraging analytics for sustainability.

  Watch this chapter

In this Q&A session participants have the opportunity to seek clarifications, share insights, and engage directly with the experts. This interactive segment aims to address specific queries and foster a deeper understanding of the topics discussed.

  Watch this chapter

     Click in player to easily navigate through the video

Video Chapters Overview 

In this session, the main focus is on empowering all staff at their respective levels to use data analytics in the operation for informed decision-making so that the core objective – sustainable energy management could be realized. Engaging demos, reinforced with actionable insights, covering immediate value and impact when integrating advanced analytics into daily operations.

  Watch this chapter

This part unravels the power of data analytics in figuring out hidden energy-saving opportunities and strategic decisions towards a more sustainable future.

  Watch this chapter

This chapter discusses the typical industries’ barriers on the way to sustainability. From regulatory pressure to technological constraints, this section provides a very comprehensive review of the barriers and, at the same time, ways to evade them successfully.

  Watch this chapter

In this section the core functionalities of TrendMiner are explained and the way they can revolutionize your approach to process efficiency and energy management. This chapter highlights the software’s ability to turn data into actionable insights for sustainable practices.

  Watch this chapter

Uncover how TrendMiner facilitates effective energy management, enabling businesses to optimize consumption, reduce waste, and achieve their sustainability objectives. Real-world examples illustrate the impact of data-driven energy strategies.

  Watch this chapter

Dive into a practical use case demonstrating how to leverage TrendMiner for calculating steam mass balances, a crucial aspect of energy management in process industries. This example showcases the software’s utility in identifying efficiency improvements.

  Watch this chapter

Experience TrendMiner in action through a comprehensive demo that brings to life the software’s capabilities in addressing energy management challenges. Witness firsthand how intuitive analytics can empower industries to advance their sustainability agenda.

  Watch this chapter

Recap the journey from identifying sustainability challenges to achieving tangible outcomes through data-driven strategies. This concluding chapter reinforces the webinar’s key takeaways and the transformative potential of leveraging analytics for sustainability.

  Watch this chapter

In this Q&A session participants have the opportunity to seek clarifications, share insights, and engage directly with the experts. This interactive segment aims to address specific queries and foster a deeper understanding of the topics discussed.

  Watch this chapter

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 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 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.