Empowering Energy Efficiency with the help of the Web-Based Application

Our client, Energy Saving Bear, a UK-based consulting company specializing in energy efficiency, faced a significant challenge as their client base expanded. They needed an efficient solution to manage the increasing workload of preparing energy usage reports manually, without significantly increasing staff.

Situation Overview

We found that the growing client base made it difficult for the consulting company to handle the workload manually. Preparing energy usage reports required a considerable amount of time and effort, and the client needed a scalable solution to automate data collection and presentation, providing clients with real-time access to energy usage insights.

Objective

The primary goal was to develop a scalable web-based application to automate data collection and presentation, enabling real-time access to energy usage data and deep sensor hierarchy insights. This solution aimed to empower the client’s customers to make informed decisions on energy efficiency measures.

Strategy and Implementation

We implemented a comprehensive solution using Microsoft Azure to develop a web-based application. Our strategy included:

1. Developing a Web-Based Application: We created a web-based application hosted on Microsoft Azure to automate data collection and presentation.

2. Automating Data Collection: The application was designed to periodically read values from sensors installed at client locations, processing this data for real-time monitoring.

3. Real-Time Data Access: Clients could access the system online anytime, allowing them to monitor their energy usage in real-time.

4. Deep Sensor Hierarchy Support: The system included support for deep sensor hierarchy, enabling clients to inspect total usage and understand energy usage at micro-locations within their facilities.

Results

The implemented solution brought significant improvements:

– Automated Data Collection and Report Generation: The application automated data collection, significantly reducing manual effort and time spent on report preparation.

– Improved Data Accuracy: Advanced data cleansing and modeling techniques ensured reliable and consistent data, aiding informed decision-making.

– Real-Time Access to Energy Usage Data: Clients could monitor their energy usage in real-time, providing immediate insights.

– Granular Insights with Deep Sensor Hierarchy: The system’s deep sensor hierarchy support provided detailed insights into energy usage, empowering clients to optimize energy efficiency measures.

– Scalable Solution: The web-based application hosted on Microsoft Azure provided a scalable solution to accommodate the growing client base.

Lessons Learned and Conclusion

Throughout the project, we learned the importance of leveraging cloud-based solutions to handle large-scale data efficiently. The use of Microsoft Azure and web-based applications proved crucial in automating data collection and providing real-time insights. This project showcased our expertise in developing scalable IT solutions to meet complex client needs, ultimately improving our client’s operational efficiency and service delivery.