RapidValue (Aspire Systems) Case Studies Remote Monitoring & Predictive Maintenance App for a Solar Energy System

	Remote Monitoring & Predictive Maintenance App for a Solar Energy System RapidValue (Aspire Systems)

Remote Monitoring & Predictive Maintenance App for a Solar Energy System

RapidValue (Aspire Systems)

Technology Category	Analytics & Modeling - Predictive Analytics
Applicable Industries	Renewable Energy
Applicable Functions	Sales & Marketing
Use Cases	Predictive Maintenance
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
About 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 disconn Read More
Customer Name	Undisclosed 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
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Applicable Industries

Renewable Energy

Applicable Functions

Sales & Marketing

Use Cases

Predictive Maintenance

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.

About 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 disconn

Customer Name

Undisclosed

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

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