Resources / Video Hub Library / Conneqt 2025 – Processing Monitoring and Control

Solvay - PID Health Monitoring

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Category: #Conneqt 2025
Industry: #Chemicals & Petrochemicals
Topic: #Statistical Process Control

Rohan Tuli, Industrial Digital Transformation Engineer, Solvay

Conneqt 2025 – Processing Monitoring and Control

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    18:14

    Solvay – PID Health Monitoring

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    17:03

    Kaneka North America – Monitoring Fermentation Plant Batch Cycle Real-Time

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    09:33

    Indorama Ventures Scaling Lean Six Sigma Tools Enterprise

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    25:58

    Dominion Energy – Planning for a New Tomorrow – Forecast-Driven Outage Planning

Resources / Video Hub Library / Conneqt 2025 – Food & Beverage + Power & Utilities

TVA - Elevating Combined Cycle Thermal Performance with Analytics

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Category: #Conneqt 2025
Industry: #Power & Utilities
Topic: #Statistical Process Control

David Tiffany, Engineer Performance Monitoring & Diagnostics, TVA

Conneqt 2025 – Food & Beverage + Power & Utilities

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    20:48

    TVA – Elevating Combined Cycle Thermal Performance with Analytics

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    16:33

    Ormat – Power Generation Forecasting with Seeq

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    18:18

    Chobani – Using Asset Groups to Easily Create Processing Metrics

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    17:50

    Cargill – From Data to Information to Action

Resources / Video Hub Library / Dominion Energy – Planning for a New Tomorrow – Forecast-Driven Outage Planning

Dominion Energy - Planning for a New Tomorrow – Forecast-Driven Outage Planning

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Category: #Conneqt 2025
Industry: #Power & Utilities
Topic: #Asset Reliability #Downtime Reduction #Statistical Process Control

Joshua Mellen, Product Manager, Dominion Energy

Bhawuk Luthra, Engineering Consultant, Dominion Energy

Dominion Energy is facing considerable growth across its operating territory – much of it stemming from non-conforming load produced by technology and the EV sector. The need for improved forecasting is becoming a mandatory part of our operations and company decision making in outage planning. In this session, we will discuss strategies and tactics around long-term load forecasts (LTLF) for area, substation and transformer-level forecasting, including the development of an operating framework utilizing Seeq. We will also explore real world case studies on managing and reprioritizing outages, thus enhancing system reliability and operational efficiency.

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Resources / Video Hub Library / Ormat – Power Generation Forecasting with Seeq

Ormat - Power Generation Forecasting with Seeq

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Category: #Conneqt 2025
Industry: #Power & Utilities
Topic: #Statistical Process Control

Yehiel Viner, VP Maintenance & Technology, Ormat

Yackov Yehoshua, Director Performance Engineering, Ormat

Rachel Huberman, Performance Engineer Lead, Ormat

Ormat faced challenges with manual generation forecasting, but implementing a Seeq-enabled workflow with sensor and external weather data now produces robust day-ahead forecasts, empowering the team to optimize operations and energy trading strategies.

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Resources / Video Hub Library / Analysis of Advanced Process Control for Grinding

Analysis of Advanced Process Control for Grinding

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Category: #Conneqt 2023
Industry: #Metals, Mining, & Materials #Power & Utilities
Topic: #Statistical Process Control

Johannes Sikström, Senior Development Engineer, Boliden

The most energy-intensive step in a mineral concentration plant is grinding, in some cases 40% – 50% of the total site consumption. Optimizing the grinding operations has the most impact in power consumption and mill throughput. Seeq was used to perform analysis of the mill power utilization in Boliden Garpenberg to identify the potential and then the performance of a new advanced process control system. The results of the assessment and early evaluation will be presented here.

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Resources / Video Hub Library / Conneqt 2023 – Materials & Power

Analysis of Advanced Process Control for Grinding

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Category: #Conneqt 2023
Industry: #Metals, Mining, & Materials #Power & Utilities
Topic: #Statistical Process Control

Johannes Sikström, Senior Development Engineer, Boliden

The most energy-intensive step in a mineral concentration plant is grinding, in some cases 40% – 50% of the total site consumption. Optimizing the grinding operations has the most impact in power consumption and mill throughput. Seeq was used to perform analysis of the mill power utilization in Boliden Garpenberg to identify the potential and then the performance of a new advanced process control system. The results of the assessment and early evaluation will be presented here.

Conneqt 2023 – Materials & Power

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    21:11

    Analysis of Advanced Process Control for Grinding

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    25:22

    Advanced Analytics for Power Generation

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    20:50

    NITROcrete – “Hands-Off” Approach for Using Seeq to Manage its Business

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    32:25

    Ontario Power Generation- How Seeq Enables OPG’s M&D Centre

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    16:05

    Birla Carbon – Collaboration & Accelerated Insight to Create Value