U.S. EPC Uses SenseHawk Software to Process More Than 3000 Warranty Claims During Commissioning

With the hot-commissioning deadline fast approaching, an EPC in charge of constructing one of the largest solar farms in the state of Alabama, faced a major hurdle. The owner wanted a thermal study of the asset as part of the punch list activity prior to commissioning. The EPC needed a quick and easy solution to

Digitized Monitoring can Bring a Cost Revolution in O&M – Premchand, GM, Tata Solar Power Ltd

Watch the excerpt The rapid progress of the solar industry owes thanks to the fact that the technological advancements for solar energy have also progressed quite significantly over the past few decades and continue to do so. Much of the application of digital methods for the solar industry is for cost-cutting purposes. Recently, EQ magazine,

Technology’s Contribution to the Profitability of Solar Present and Future

 Watch the excerpt New trends in technology utilized within the solar power industry are providing more accessible energy-efficient solutions to a greater range of businesses. “Digital Tools and Analytics for Efficiency in PV Operations” was the topic of discussion at a recent webinar hosted by EQ magazine, in association with SenseHawk. Various industry experts

Too Much Data as a Digital Asset Management Challenge

Watch the excerpt As the solar industry has entered a new age of digital maturity, new challenges are knocking on the door. In a recent webinar hosted by EQ Magazine in association with SenseHawk, various solar industry experts came together under the same roof to share their experience and knowledge as well as look at

HOTO – A Holistic Process with a Large Impact on Solar PV Plant Revenue

Watch the excerpt The past decade has seen a significant evolution in the way asset management planning is conducted and encouraged. While an increasing number of asset owners and operators are now starting to recognize the need for a broader approach to asset management, many are struggling to make the transformation. Recently, EQ magazine, in

Expert Talk – Predictive maintenance and Investigative assessment of Solar Panels, Inverters, and Trackers

Reuters Events recently hosted the PV Operations and Financial Strategies conference 2020 which had a panel on the topic, “Reduce your O&M costs by applying proactive and predictive maintenance.” The panel consisted of industry veterans including, Swarup Mavanoor, CEO and Co-founder, SenseHawk, Julien Glover, Control Center Manager, Cypress Creek Renewables, and Michael Eyman, Managing Director,

Is Predictive Maintenance Actionable Today in the Solar PV Industry?

Predictive maintenance is all about the intelligent use of data. It applies a layer of analytics, like machine learning or artificial intelligence, to the underlying aggregate data to find hitherto unknown patterns that predict future failures. “Reduce your O&M costs by applying proactive and predictive maintenance” was the topic of discussion at the PV Operations

Predictive, Preventive, and Preventative Maintenance of Solar PV in the Real World

In the long run, all machines break down and the only solution is to employ a more efficient equipment maintenance strategy. Recently, in the Reuters Events hosted PV Operations and Financial Strategies, a panel on the topic, “Reduce your O&M costs by applying proactive and predictive maintenance” touched upon the nuances of maintenance. The speakers,

Digitalized O&M’s impact on cost, benchmarking and quality of Renewable Assets

Due to the COVID-19 pandemic, there is stress on every sector on the importance of moving towards automation and digitization. In the solar industry, the O&M function of the solar power plants especially is experiencing significant stress. While previously, O&M activities were limited to site management involving equipment maintenance, module cleaning, vegetation management; of late,

How do you convert incompatible, disorganized, or too much data into actionable insights?

The data your asset creates is a very valuable resource; unless it can help create meaningful reports and a clear forecast of the environment, then the data stands meaningless. Unorganized huge sets of data make it practically impossible for organizations to make accurate conclusions regarding their customers’ needs, thereby creating a thread of poor decisions