Remote Monitoring & Predictive Maintenance App for a Solar Energy System

RapidValue Case Studies Remote Monitoring & Predictive Maintenance App for a Solar Energy System

	Remote Monitoring & Predictive Maintenance App for a Solar Energy System RapidValue

Remote Monitoring & Predictive Maintenance App for a Solar Energy System

RapidValue

Applicable Industries	Energy
Applicable Functions	Maintenance
Use Cases	Building Energy Management System (BEMS) Log in to view content
Challenge	The maintenance & tracking of various modules was an overhead for the customer due to the huge labor costs involved. Being an advanced solar solutions provider, they wanted to ensure early detection of issues and provide the best-in-class customer experience. Hence they wanted to automate the whole process. Read More
Customer	A leading manufacturer and distributor of solar panels and solar energy based out of the U.S. They provide complete and fully integrated solar system, including modules, trackers, inverters, ISIS energy management software, networking, AC & DC disconnects, and all DC wiring. Read More
Solution	- Integration with inverters to collect data. - Detection of possible malfunctioning with predictive analytics. - Mobile & Cloud-based solutions with automated real-time alert notifications for field engineers. - HR scheduling solution to gather real-time details of available filed engineers & provide location information for faster issue resolution. - Integration with onsite cameras for live feeds and document management for product manuals and suggested resolution. Read More Log in to view content
Data Collected	Control System Alert, Fault Detection, Solar Power Read More Log in to view content
Solution Type	IOT Read More Log in to view content
Solution Maturity	Cutting Edge (technology has been on the market for < 2 years) Read More Log in to view content
Contents

Applicable Industries

Energy

Applicable Functions

Maintenance

Use Cases

Building Energy Management System (BEMS)

Challenge

The maintenance & tracking of various modules was an overhead for the customer due to the huge labor costs involved. Being an advanced solar solutions provider, they wanted to ensure early detection of issues and provide the best-in-class customer experience. Hence they wanted to automate the whole process.

Customer

A leading manufacturer and distributor of solar panels and solar energy based out of the U.S. They provide complete and fully integrated solar system, including modules, trackers, inverters, ISIS energy management software, networking, AC & DC disconnects, and all DC wiring.

Solution

- Integration with inverters to collect data. - Detection of possible malfunctioning with predictive analytics. - Mobile & Cloud-based solutions with automated real-time alert notifications for field engineers. - HR scheduling solution to gather real-time details of available filed engineers & provide location information for faster issue resolution. - Integration with onsite cameras for live feeds and document management for product manuals and suggested resolution.

Data Collected

Control System Alert, Fault Detection, Solar Power

Solution Type

IOT

Solution Maturity

Cutting Edge (technology has been on the market for < 2 years)

Impact #1	[Efficiency Improvement - Energy] Achieved maximum utilization of solar energy through remote controlling of solar panel directions.
Impact #2	[Efficiency Improvement - Maintenance] Reduced time spent in monitoring locations and downtime through predictive maintenance.
Impact #3	[Efficiency Improvement - Operation] Improved efficiency through process automation

Impact #1

[Efficiency Improvement - Energy]
Achieved maximum utilization of solar energy through remote controlling of solar panel directions.

Impact #2

[Efficiency Improvement - Maintenance]
Reduced time spent in monitoring locations and downtime through predictive maintenance.

Impact #3

[Efficiency Improvement - Operation]
Improved efficiency through process automation

Benefit #1	Reduced operational cost by 25-30%

Benefit #1

Reduced operational cost by 25-30%

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Overview

Remote Monitoring & Predictive Maintenance App for a Solar Energy System

Operational Impact

Quantitative Benefit