Webinar on demand
EnergyLab: Using Energy Models to Monitor your Production Process
hosted by TrendMiner
Duration: 55 minutes (50 minutes presentation + 5 minutes Q&A)
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Video Chapters Overview
00:00 Introduction and Webinar Agenda
In this session, we’ll introduce you to the concepts of creating and validating energy models using TrendMiner, an advanced analytics platform designed for ease of use without requiring deep data science expertise. We’ll guide you through the process of deriving a model, validating it, and then employing it for continuous monitoring of your production processes.
04:20 Sustainability - Common Industry Challenges
This chapter includes sustainability challenges from top-down industries, from how to survive global crises to meeting new standards in the environment.
06:33 Driving Sustainability with Data
In this chapter the transformative potential of integrating real-time data analysis into your sustainability strategies is discussed, providing a pathway to more efficient and eco-friendly operations.
12:23 Energy Challenges
Learn the current and large looming energy problems for industry today. Increasing costs and regulatory pressures bear down on energy problems, capturing with a great panorama for businesses striving for sustainability.
13:29 TrendMiner Key Capabilities
This chapter reveals the cutting-edge capabilities of TrendMiner and how it stands as a pivotal tool in addressing energy and sustainability challenges. Learn about its intuitive interface, predictive analytics, and how it seamlessly integrates with existing systems to enhance operational efficiency.
15:26 Energy Management with TrendMiner
See TrendMiner in action as we explore its application in energy management. This segment demonstrates how TrendMiner’s advanced analytics can be leveraged to optimize energy usage, reduce costs, and contribute to sustainability goals.
21:29 Use Case: Energy Model of Distillation Column
Unpack a real-world use case of a distillation column’s energy model, showcasing TrendMiner’s impact in optimizing energy consumption. This practical example illustrates the tangible benefits and insights gained from implementing advanced analytics in process operations.
25:49 DEMO: See TrendMiner in Action
Witness the power of TrendMiner firsthand in this live demo. Experience how its advanced features can be applied to real industry challenges, offering a glimpse into the future of process optimization and sustainability through data analytics.
46:43 Summary: From Challenges to Tangible Results
Reflect on the journey from identifying industry challenges to achieving tangible results with TrendMiner. This summary highlights the key takeaways and actionable insights that participants can apply to their operations for enhanced sustainability and efficiency.
48:14 Q&A
Conclude with an interactive Q&A session where participants are able to get clarifications needed, ask questions, and generally engage one-on-one with the panel of experts.
In this webinar we talk about advanced analytical approaches to innovative and cutting-edge solutions toward energy transition and sustainability. We dive into a use case related to the efficient monitoring of the production processes with the help of energy models. The goal is to provide relevant insights that support actual improvements in energy management towards sustainability in the industrial environment.
This session can be helpful for all the players within the process manufacturing wishing to improve their energy management strategies towards a more sustainable future. At the end of this webinar, you will get much clearer understanding of how you can use your data for optimizing consumption, finding out beforehand all potential inefficiencies, and at the same time, mitigating them before they become bigger problems.
About the Speakers
Laura Linnig is 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.
David Merschhoff is a Data Analytics Engineer at TrendMiner and part of the Customer Success team in the DACH region. He utilizes his degree in chemical 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 energy use cases.
