Developing a Renewable Energy Asset Management App for a Decarbonisation Solutions Company: A Case Study

About ReNew

ReNew, a leading decarbonisation solutions company, needed a centralized platform to monitor energy production across its renewable energy sites. With engineers previously recording data manually at each site, the company required a robust digital solution to streamline energy tracking, ensure data accuracy, and enhance decision-making through visual insights.

To address this, ReNew partnered with APPWRK to develop Data Lake, a scalable web application designed to manage and analyze renewable energy data in real-time. Using Laravel, MySQL, MongoDB, and HighCharts, we built an intuitive platform with backend logic to validate site-wise data across financial years and optimized charts to cross-check manually uploaded Excel entries, eliminating inconsistent reporting and manual overhead through a centralized, intelligent monitoring system.

Industry

Renewable Energy
Services

Web Application Development
Business Type

Decarbonisation Solutions Provider
The Team

Project Manager, Mid level developer & Full stack developer
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Project Overview: Developing a Centralized Renewable Energy Asset Management Platform for ReNew

With energy production data scattered across multiple remote sites and manually recorded by engineers, ReNew faced significant challenges in ensuring data accuracy, timely reporting, and effective monitoring. The company needed a scalable digital solution to centralize data collection, validate entries, and provide real-time insights to support informed decision-making.

Data Lake Web Application Interface

To address these challenges, APPWRK developed Data Lake, a scalable asset management platform built using Laravel, MySQL, MongoDB, and HighCharts.

Data Lake Web Application Interface

The application features an intuitive dashboard, backend validation logic for multi-year site data, and optimized charts to verify manual Excel entries, enabling ReNew to efficiently manage and analyze energy data across all their sites.

Technologies Used

Highcharts
Laravel
Bootstrap
Javascript
jquery
Mysql

Challenges Faced During Development of the Renewable Energy Asset Management Web Application

1. Designing Dashboards for Users with Varying Technical Expertise

Considering the fact that users had varying levels of technical expertise, ranging from non-technical field engineers to data-savvy managers, the Data Lake application’s energy production dashboards needed to be easy to use while offering advanced features for deeper analysis. We had to carefully balance simplicity and functionality to ensure insights were accessible to all user groups.

2. Architecting a Hybrid Data Storage Solution

In addition to designing an intuitive and dynamic dashboard for users of varying technical expertise, we also faced the challenge of selecting and integrating the right combination of relational (MySQL) and NoSQL (MongoDB) databases. This hybrid approach had to efficiently store and query diverse data types while maintaining scalability, reliability, and support for complex queries.

3. Managing High-Volume, Real-Time Energy Data

One of the major challenges we faced was managing continuous energy data arriving from numerous sites. We had to maintain seamless data intake, processing, and real-time updates while ensuring optimal application performance and reliability.

4. Balancing Security and Performance Requirements

Navigating stringent security requirements alongside application performance posed significant challenges. Our team had to design and implement robust security protocols that ensured data confidentiality and integrity, while maintaining a seamless and user-friendly experience for all users.

What We Delivered: A Robust, User-Friendly Renewable Energy Asset Management Web Application

01

Using HighCharts, we developed intuitive and dynamic dashboards that catered to users with varying technical expertise. The dashboards balanced simplicity with advanced features, enabling everyone, from field engineers to managers, to gain actionable insights effortlessly.
02

We engineered a scalable data ingestion and processing pipeline to handle high-frequency energy data streams from multiple dispersed sites. This ensured real-time updates and smooth performance without any lag or data loss.
03

By architecting a hybrid data storage solution combining MySQL and MongoDB, we efficiently managed diverse data types and complex queries. This approach enhanced scalability and reliability while supporting detailed site-level analytics.
04

Our team implemented robust security protocols, including secure authentication and strong encryption, to protect sensitive energy production data. These measures ensured compliance without compromising usability or application responsiveness.

The Outcome

Enabled faster, more informed decision-making for ReNew’s teams by ensuring accurate, validated data across all sites and financial years.
Improved data accessibility and decision-making through intuitive dashboards that present complex energy metrics in a user-friendly, visual format.
Ensured smooth processing of large, real-time energy data streams, maintaining high application performance and reliability.
Enhanced data integrity and compliance by implementing robust security measures, including encrypted storage and secure user authentication.