Skip to main content
Skip to footer

Jay Gupta

Project Management Specialist, TCS DSS

Enabling Sustainable Energy Operations

Energy companies are facing challenges on multiple fronts including energy prices, supply & demand disruption, operational resilience, and environmental targets. Energy providers must become more agile, resilient, and proactive to address these critical issues to stay competitive and operationally sustainable.

Now Is the Right Time

As digital transformation continues revitalizing the Energy & Resources Industry, organizations are standardizing on cloud services as a core business enabler.  This has led the energy industry to realize information, and decision fabrics have the power to integrate vast amounts of data from the entire energy value chain. This enables organizations to generate contextual and cognitively enabled operational insights and achieve better financial performance, worker and plant safety, and net-zero emission goals

The TCS Intelligent Urban ExchangeTM (IUX) model for cognitive intelligence includes an ecosystem of technologies that augment human capabilities to sense, capture and understand information to create valuable information and recommendations for acting on complex business problems.

Cognitively-enabled operational systems proactively identify asset, process, and people risks.  They provide data-driven guidance for operations set points and intelligent interventions in real-time or near real-time. This is accomplished by processing huge volumes of data from cross functional operations.

A few example use cases can help illustrate key benefits of cognitive operations

Asset Integrity & Predictive Maintenance: Detects assets with high probability of failure and suggests optimum asset rehabilitation strategies by analyzing data from various data sources including operation planning systems, asset maintenance systems and current asset systems status.

Enable Remote Operations Center:  Provides an integrated decisions workplace where operators can assess contextual data such as real-time status, location, local events.  This can be done for all assets and improves efficiency and safety through the ability to evaluate the impact of multiple scenarios in difficult geography terrains.

GHG Emissions Monitoring & Reductions: Senses emissions and predicts potential emission levels by applying machine vision-based AI of storage tank thermal images to recognize levels of stored chemical elements. This allows plant operators to evaluate the impact of those elements on the structural integrity and durability of storage tanks and provides optimization strategies to improve process and operation efficiencies.

Operations Resilience: Meets enterprises and business’s constant and growing need to accurately predict physical system maintenance requirements and potential failure points. This allows entities to proactively apply the right resources to the right assets and maintain healthy, reliable, and resilient operations.

These use cases are just a few examples of the many ways cognitively enabled systems help energy companies become operational resilient, achieve operational agility, improve operational efficiency, and harness the full value of their IoT and organization data.

TCS IUX is a purpose-built decision intelligence product for the Energy & Resources industry providing contextual decision intelligence services be it on asset maintenance schedule optimization, safety incidence avoidance, proactive anomaly detection and Environmental, Social & Governance (ESG) actions across all engaged systems, departments, by connecting complete business value chain.

IUX offers pre-built cognitive solutions around Intelligent Sustainability, Intelligent Pipeline, Command Center, Intelligent Energy, Intelligent Transport and Workplace Resilience, which help energy companies with faster deployment, time-to-value, and reduced TCO.


About the author

Jay Gupta
Jay Gupta is involved in IoT, cloud, and data analytics and AI at TCS Digital Software & Solutions.