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Largest Electricity provider in the US- Case Study

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Happiest Minds Technologies
Happiest Minds Technologies

We have partnered with the largest electricity provider in the US to build centralized operations and maintenance for power generation plants.

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Largest Electricity provider in the US
We have partnered with the largest electricity provider in the US to build centralized operations and maintenance for power generation plants. The Company is the largest energy provider in the United States as measured by retail electricity produced and sold, serving more than five million customer accounts or an estimated 10 million+ people across the state. It operates one of the cleanest power generation fleets in the U.S.A. 01 Objectives of the Project The customer operates various fossil fuel power generation plants, critical assets being gas turbines, generators, HRSG (Heat Recovery Steam Generator), and BoP (Balance of Plant). The O&M (Operations & Maintenance) teams were managed at an individual plant level. The customer wanted to increase power reliability and reduce operational costs by centralizing O&M teams and Board operators. Existing Challenges 01 Reduce operation and maintenance costs by 15% 02 Increase power reliability across the client’s 11 fossil fuel power generation plants and critical assets — gas turbines, generators, steam turbines, etc. 03 Centralization of operations & maintenance processes. 04 Support fleet monitoring, centralized operations, and maintenance using a cloud platform.
02 • Define the overall solution architecture across key pillars of the Reimagine program: centralizing management and control of plant operations and removing manual effort involved in O&M processes through a digital transformation to the greatest extent possible. • Assess gaps required for seamless functioning of the centralized O&M and command center. • Define and develop solutions with technology interventions required for addressing identified gaps. • Prioritize the solutions for execution. • Design a high-level solution blueprint for shortlisted solutions. • Provide deep-dive details on daily and outage work processes. • Leverage AI/ML models for optimizing work orders and improve data quality for validation, prioritization, and scheduling of daily and outage work. Happiest Minds Scope The Journey The plant's operations and maintenance process were carried out locally, and there was a massive gap in the data and the process. The customer wanted to increase the reliability of power and reduce operational costs. And it was to be done by identifying critical assets, prioritizing work schedules, and identifying gaps in the asset and work management. The customer aimed to digitize the documents, be it procedure, mechanical & engineering diagrams, or manufacturer documents and tag them to the
03 corresponding assets. Additionally, there was a need for real-time anomaly identification in sensor data. Happiest Minds took cognizance of their problems and challenges and guided them on a digital transformation journey to reimagine their current state. Digital transformation initiatives may have their own specific goals, but the primary purpose of any digital transformation is to improve your current processes. At Happiest Minds, we have our own methodical 4E mindful digital transformation framework wherein the 4Es stands for Explore, Envision, Engineer, and Enhance. As per our approach in the Explore stage, we did the digital maturity assessment by studying the gaps between the current state and targeted state maturity. We assessed through the function of maintenance management and enterprise asset diagnosis as it helped identify critical assets and take further initiatives in the asset and work management. One of our customer's objectives was to centralize the processes and reduce operational and maintenance costs. The Engineering stage was where the transition happened from the current state to the target state by defining the overall solution architecture across key pillars of the Reimagine program. We assessed the gaps required for the seamless functioning of their Operations & Maintenance teams. A high-level solution blueprint was created. AI/ML models were used to optimize work orders and improve data quality for validation, prioritization, and scheduling of daily and outage work. In the Envision stage, we defined the problem statement and strategized on achieving the future envisioned state. The customer had 11 plants, with 26 to 30 maintenance staff per plant. The O&M work orders were manually intensive and couldn’t be managed at an individual plant level. To reduce this intensive work and cut down O&M costs, we used AWS IoT cloud to design a solution supporting fleet monitoring and centralizing operations and maintenance activities. Along with it, critical asset identification was prioritized for the work order schedules and to minimize the maintenance cost. Digitization of documents was also given priority to reduce the turnaround time. 01 03 02
Few of the other digital ventures that we are working on with our customer Enhance stage is a continuous stage that will help the customer to evolve these solutions towards the reimagined state. Some of the key business impacts we brought to our customer during these stages, and the digital capital we delivered were: 01 Reduction of efforts per day per engineer led to overall O&M savings. 02 AI/ML models for validation, prioritization, and scheduling of work orders for daily and outage work. 05 Iow reduction in the number of Iow watch operators across plants through increased automation or enabler of reductions. 03 Digital twin creation with the digitization of P&ID by establishing asset relation with material flow. 04 Created a digital transformation roadmap by conducting plant visits and interviewing 30+ stakeholders. 06 Effective remote management and maintenance of all the 11 fossil fuel power generation plants from a centralized solution. Happiest Minds Technologies Limited (NSE: HAPPSTMNDS), a Mindful IT Company, enables digital transformation for enterprises and technology providers by delivering seamless customer experiences, business efficiency and actionable insights. We do this by leveraging a spectrum of disruptive technologies such as: artificial intelligence, blockchain, cloud, digital process automation, internet of things, robotics/drones, security, virtual/augmented reality, etc. Positioned as ‘Born Digital . Born Agile’, our capabilities span digital solutions, infrastructure, product engineering and security. We deliver these services across industry sectors such as automotive, BFSI, consumer packaged goods, e-commerce, edutech, engineering R&D, hi-tech, manufacturing, retail and travel/ transportation/hospitality. A Great Place to Work-CertifiedTM company, Happiest Minds is headquartered in Bangalore, India with operations in the U.S., UK, Canada, Australia and Middle East. Write to us at Business@happiestminds.com www.happiestminds.com 04 PDF/ Word Parser Page extraction Image quality check Page classification Template Classification Region detection classification Image Vs blueprint Vs text Vs table Image Processing ROI Extractor Deep learning to detect components or symbols Component Classification Extract Component’s make and model number OCR Associate components maintenence dependency and map Component Classification *All logos areproperties of their respective owners

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Largest Electricity provider in the US- Case Study

  • 2. We have partnered with the largest electricity provider in the US to build centralized operations and maintenance for power generation plants. The Company is the largest energy provider in the United States as measured by retail electricity produced and sold, serving more than five million customer accounts or an estimated 10 million+ people across the state. It operates one of the cleanest power generation fleets in the U.S.A. 01 Objectives of the Project The customer operates various fossil fuel power generation plants, critical assets being gas turbines, generators, HRSG (Heat Recovery Steam Generator), and BoP (Balance of Plant). The O&M (Operations & Maintenance) teams were managed at an individual plant level. The customer wanted to increase power reliability and reduce operational costs by centralizing O&M teams and Board operators. Existing Challenges 01 Reduce operation and maintenance costs by 15% 02 Increase power reliability across the client’s 11 fossil fuel power generation plants and critical assets — gas turbines, generators, steam turbines, etc. 03 Centralization of operations & maintenance processes. 04 Support fleet monitoring, centralized operations, and maintenance using a cloud platform.
  • 3. 02 • Define the overall solution architecture across key pillars of the Reimagine program: centralizing management and control of plant operations and removing manual effort involved in O&M processes through a digital transformation to the greatest extent possible. • Assess gaps required for seamless functioning of the centralized O&M and command center. • Define and develop solutions with technology interventions required for addressing identified gaps. • Prioritize the solutions for execution. • Design a high-level solution blueprint for shortlisted solutions. • Provide deep-dive details on daily and outage work processes. • Leverage AI/ML models for optimizing work orders and improve data quality for validation, prioritization, and scheduling of daily and outage work. Happiest Minds Scope The Journey The plant's operations and maintenance process were carried out locally, and there was a massive gap in the data and the process. The customer wanted to increase the reliability of power and reduce operational costs. And it was to be done by identifying critical assets, prioritizing work schedules, and identifying gaps in the asset and work management. The customer aimed to digitize the documents, be it procedure, mechanical & engineering diagrams, or manufacturer documents and tag them to the
  • 4. 03 corresponding assets. Additionally, there was a need for real-time anomaly identification in sensor data. Happiest Minds took cognizance of their problems and challenges and guided them on a digital transformation journey to reimagine their current state. Digital transformation initiatives may have their own specific goals, but the primary purpose of any digital transformation is to improve your current processes. At Happiest Minds, we have our own methodical 4E mindful digital transformation framework wherein the 4Es stands for Explore, Envision, Engineer, and Enhance. As per our approach in the Explore stage, we did the digital maturity assessment by studying the gaps between the current state and targeted state maturity. We assessed through the function of maintenance management and enterprise asset diagnosis as it helped identify critical assets and take further initiatives in the asset and work management. One of our customer's objectives was to centralize the processes and reduce operational and maintenance costs. The Engineering stage was where the transition happened from the current state to the target state by defining the overall solution architecture across key pillars of the Reimagine program. We assessed the gaps required for the seamless functioning of their Operations & Maintenance teams. A high-level solution blueprint was created. AI/ML models were used to optimize work orders and improve data quality for validation, prioritization, and scheduling of daily and outage work. In the Envision stage, we defined the problem statement and strategized on achieving the future envisioned state. The customer had 11 plants, with 26 to 30 maintenance staff per plant. The O&M work orders were manually intensive and couldn’t be managed at an individual plant level. To reduce this intensive work and cut down O&M costs, we used AWS IoT cloud to design a solution supporting fleet monitoring and centralizing operations and maintenance activities. Along with it, critical asset identification was prioritized for the work order schedules and to minimize the maintenance cost. Digitization of documents was also given priority to reduce the turnaround time. 01 03 02
  • 5. Few of the other digital ventures that we are working on with our customer Enhance stage is a continuous stage that will help the customer to evolve these solutions towards the reimagined state. Some of the key business impacts we brought to our customer during these stages, and the digital capital we delivered were: 01 Reduction of efforts per day per engineer led to overall O&M savings. 02 AI/ML models for validation, prioritization, and scheduling of work orders for daily and outage work. 05 Iow reduction in the number of Iow watch operators across plants through increased automation or enabler of reductions. 03 Digital twin creation with the digitization of P&ID by establishing asset relation with material flow. 04 Created a digital transformation roadmap by conducting plant visits and interviewing 30+ stakeholders. 06 Effective remote management and maintenance of all the 11 fossil fuel power generation plants from a centralized solution. Happiest Minds Technologies Limited (NSE: HAPPSTMNDS), a Mindful IT Company, enables digital transformation for enterprises and technology providers by delivering seamless customer experiences, business efficiency and actionable insights. We do this by leveraging a spectrum of disruptive technologies such as: artificial intelligence, blockchain, cloud, digital process automation, internet of things, robotics/drones, security, virtual/augmented reality, etc. Positioned as ‘Born Digital . Born Agile’, our capabilities span digital solutions, infrastructure, product engineering and security. We deliver these services across industry sectors such as automotive, BFSI, consumer packaged goods, e-commerce, edutech, engineering R&D, hi-tech, manufacturing, retail and travel/ transportation/hospitality. A Great Place to Work-CertifiedTM company, Happiest Minds is headquartered in Bangalore, India with operations in the U.S., UK, Canada, Australia and Middle East. Write to us at Business@happiestminds.com www.happiestminds.com 04 PDF/ Word Parser Page extraction Image quality check Page classification Template Classification Region detection classification Image Vs blueprint Vs text Vs table Image Processing ROI Extractor Deep learning to detect components or symbols Component Classification Extract Component’s make and model number OCR Associate components maintenence dependency and map Component Classification *All logos areproperties of their respective owners