Case STudy

Energy & Utilities

Utility Provider Adopting Newer Renewable Sources

Integrating Renewable Energy on Power Grids

Reduced reporting time by 50% across systems

Increased Grid Stability for reliable power delivery

Increased Renewable Energy Contributions

Client Overview

North American energy and utilities company with decades of experience in delivering reliable electricity services via traditional Nuclear and Fossil Fuel based power generation is aiming to diversify its energy portfolio by including wind energy to align with global sustainability goals and regulatory pressures.

Business Challenges

During pandemic

Legacy infrastructure was ill-equipped to handle the variable nature of renewable energy sources like wind, leading to inefficiencies in power distribution.

Outdated SCADA systems and Missing Drones based Monitoring that lacked real-time troubleshooting capabilities, leading to delayed responses to grid issues and inefficiencies in managing wind energy input.

Disparate data systems made it challenging to consolidate and analyze operational data, reducing decision-making effectiveness.

Difficulty in meeting emerging renewable energy mandates due to a lack of automated tools for compliance and transparency.

Post pandemic

The global push for sustainability and higher public demand for renewable sources highlighted the need for rapid integration of wind energy into the grid.

Pandemic-related disruptions affected the availability of key components for wind turbines and digital infrastructure upgrades.

Managing an increased influx of renewable energy sources while ensuring grid stability required advanced systems and new skill sets for employees.

The shift to a cloud-first infrastructure raised concerns about data breaches and the need for robust cybersecurity measures.

Approach

New Capabilities Introduced

Real-Time Data Analytics for Energy Management

Implemented a cloud-based IoT platform capable of collecting, processing, and analyzing real-time data from wind turbines, providing actionable insights to optimize energy dispatch and grid stability.

Machine Learning Systems for Energy Forecasting

Developed New ML models to predict wind energy generation with high accuracy, enabling better planning for energy dispatch and reducing reliance on backup fossil fuel sources.

Enhanced IOT Based Smart Grid Technology

Deployed IoT-enabled smart grid systems to dynamically balance energy supply and demand, ensuring stability despite the variability of wind energy.

Automated Compliance & Transparency Tools

Integrated Digital technology and automated reporting systems to streamline regulatory compliance processes and create transparent records of renewable energy production and utilization.

New Innovation Introduced

ML Driven Predictive Energy Forecasting

Ability for users to process their orders without requiring login to speed up their checkout by removing road blocks in their experience

Digital systems for Renewable Energy Records

Implemented digital technology to maintain secure, tamper-proof, and transparent records of energy production and distribution, enhancing trust with regulators and stakeholders.

IoT-Enabled Smart Grid Systems

Adopted IoT devices and sensors to provide real-time monitoring and control of grid performance, enabling proactive issue resolution and seamless integration of renewable energy sources.

Results Delivered

Seamlessly incorporated 200 MW of wind energy into the grid, increasing the company’s renewable energy contribution by 30%, aligning with sustainability and regulatory goals.

The deployment of smart grid technologies increased grid stability by by 40%, ensuring reliable power delivery and optimizing the use of renewable energy resources.

Automated compliance tools and blockchain-based transparency systems reduced reporting time by 50%, ensuring adherence to renewable energy regulations while building trust with stakeholders.