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Latest Stories


HydrogeNext

HydrogeNext’s program will cover key topics vital to power generation and chemical process industry professionals including the future of hydrogen in energy, key projects/case studies, and lessons learned, as well as the latest news and updates on electrolyzer technologies, infrastructure issues, ...


How to Maintain Operational Excellence in a Disruptive, Cost-Driven and Changing World

Over the past couple years, the fluidity demanded from organizations sparked by the pandemic and regulations has ultimately required us to change the way we work. The reality is, if our organizations don’t continue evolving on the inside at the same pace as the outside world, we fall behind. Yet, ...


Digitalization of Transformers to Improve Electrical Asset Reliability and Performance

The need to consistently supply power in a manner that meets corporate objectives has never been greater. Problems with aging infrastructure, increasingly volatile weather patterns, and more complex contractual and regulatory requirements challenge operational and engineering teams to innovate and ...


How SMUD Optimizes Real-time and Future Grid Operations to Meet Aggressive Sustainability Goals

The journey to net zero, powered by aggressive decarbonization to achieve sustainability goals, is accelerating transformation of the energy landscape. Efficient and reliable grid management is becoming more complex as renewable and distributed energy resources are increasingly added to the power ...


What’s Your Heat Exchanger Maintenance IQ?

Heat exchangers are at the heart of many critical industrial systems. From power plants to industrial chemical plants and everything in between, the heat exchanger in all its forms is a critical aspect of heat management systems. Therefore, organizations must take heat exchanger maintenance ...


AI for Renewables: Use Cases Beyond Failure Prediction

The initial applications of AI platforms for renewable energy were mainly focused on failure prediction and anomaly detection. While these applications remain important to the industry, the scope of uses of AI in renewables has greatly increased. Early AI platforms primarily used SCADA data for ...