Optimizing Renewable Energy Management with Data Integration and Mobile Solutions
Efficient data management and seamless field operations are essential in the renewable energy sector. Our client, a leader in sustainable energy production, faced challenges in handling data from multiple sources across solar, wind, and electric power projects. Inconsistent data collection, error-prone storage, and a lack of reliable field tools hindered their ability to make informed decisions. Neviton Technologies implemented a robust data integration solution on AWS, enabling centralized data collection, error handling, and advanced analysis. A mobile app for field technicians further enhanced on-site efficiency, ensuring reliable and real-time data access.
Why: Understanding the Need
Operating in the renewable energy sector, our client focuses on sustainable energy production and distribution through various renewable energy projects such as solar, wind, and electric power, etc., aiming to reduce carbon emissions and promote clean energy solutions. They faced significant challenges in collecting, storing, and analysing data from multiple renewable energy sources. Their existing Edge systems were prone to data gaps and errors, leading to inefficiencies in reporting and decision-making processes. Additionally, technicians in the field lacked a reliable tool to streamline their operations and enhance maintenance tasks. The client aimed to achieve seamless and accurate data collection across all renewable energy sources, eliminate data gaps, ensure error-free data storage, enhance reporting capabilities, support integrated business-wide decision-making, and provide technicians with a mobile app to improve field operations and maintenance efficiency.
How: Implementing the Solution
To address the client’s challenges, we integrated diverse data from SCADA/Edge systems, including weather forecasts, clear sky days, and power generation metrics, into an AWS-based centralized platform. This enabled advanced visualization and analysis through a web application, ensuring data reliability with robust error-handling mechanisms and secure, scalable cloud storage.
Additionally, we developed a mobile application for technicians to provide real-time data access and enhance field operations efficiency.
The deployment process involved several unique approaches and technologies:
Data Integration:
Extracted diverse data from SCADA/Edge computers, such as weather forecasting, clear sky days, and power generation metrics. Integrated this data into an AWS-based centralized platform, enabling advanced visualization and analysis through a web application. AWS Cloud Services used are:
AWS S3
AWS S3 is used to store all the daily backups of KPIs from the Edge Computers of Solar farm sites as well as 5 minutes KPIs getting uploaded from those sites.
AWS Lambda
AWS Lambda code written in Python is used to process the KPIs files available in the S3 buckets in regular intervals to provide the data to 3rd party application using JSON format.
AWS API Gateway
AWS API Gateway is used to provide the KPIs data to using secured x-api-key token from S3 buckets with the help of AWS Lambda.
AWS Event Bridge
AWS Event Bridge is used to trigger the AWS Lambda based on KPIs files uploaded to the S3 buckets from Solar farms Edge Computers.
AWS VPC
AWS VPC to restrict the access AWS Services in Client network
Robust Error-Handling Mechanisms:
Implemented stringent error-handling mechanisms to ensure continuous data integrity and operational reliability across the platform.
Utilization of Cloud Storage Solutions:
Deployed scalable and secure cloud storage solutions to efficiently manage and store integrated data, ensuring accessibility and reliability.
Development of Mobile Application:
Developed a dedicated mobile application for technicians, providing real-time data access and enhancing task management capabilities during field operation.
Key actions taken during the project included
Requirement Analysis
Conducted thorough analysis of client’s renewable energy data needs to determine specific data collection and reporting requirements.
System Design
Designed a scalable architecture for integrating SCADA/Edge system data into an AWS-based platform, ensuring high accuracy and scalability.
Deployment
Deployed solutions in phases to ensure smooth transition and minimal disruption to client operations.
Training and Support
Provided comprehensive training and ongoing support to maximize client team’s proficiency and system utilization efficiency.
This comprehensive approach ensured that the client’s objectives were met, resulting in a seamless and efficient data management system and enhanced field operations.
Impact: Measuring the Success
Improved Data Accuracy and Reliability
Reduced data errors by 45% and eliminated data gaps, providing more reliable insights into renewable energy sources.
Operational Efficiency Gains
Increased field operation efficiency by 40% with the implementation of the mobile application.
Environmental Impact
Contributed to a 55% reduction in carbon emissions through optimized renewable energy management.
With integrated data management and mobile support, renewable energy providers can boost operational efficiency, improve data accuracy, and drive impactful, sustainable energy production.
Powering Clean Energy with Data-Driven Solutions
At Neviton Technologies, we empower renewable energy companies to harness reliable, centralized data for better decision-making and optimized field operations. Our AWS-based solutions streamline data management and enhance operational efficiency, helping our clients focus on sustainable growth and reducing their environmental footprint. Partner with us to drive clean energy innovations with intelligent, data-powered solutions.
