
This workshop on Sept. 30th, 2019 in Cyprus will provide cutting edge insights and extensive technical information in the area of next-generation PV performance monitoring systems that leverage machine learning and data analytics to ensure improved reliability and optimized levelised cost of electricity (LCoE).
Participants will get in-field knowledge of PV monitoring and high quality data-acquisition, leveraging machine learning for energy analytics and latest technology developments to quantify performance losses and optimize the LCoE though cost-effective automated reactive and proactive O&M. The workshop is intended for Project developers and EPCs, O&M service providers, Investors, Consultants and Researchers in the renewable energy sector.
For more details and information visit our IPERMON Project page.
More articles
Changing demands within Automotive Testing – Webinar
Want to know more about changing demands within Automotive Testing?
Read more...Strain Measurements on Flexible Pipeline Systems
NOV in Denmark tests flexible pipeline systems with the Gantner Instruments Q.bloxx modules.
Read more...IPERMON – Innovative Performance Monitoring System for Improved Reliability and Optimized Levelized Cost of Electricity
Currently, a vast amount of research institutions and organizations are focusing on ways to improve the operation, reliability and consequently the output of PV systems. An important aspect yet to be targeted remains the procedural and standardized approach to calculate accurately the factors behind the various performance loss mechanisms, while also detecting and diagnosing potential failures at early stages or before occurrence. Identification of degradation and failure modes at preliminary stages is important as these mechanisms directly influence the performance, lifetime and reliability of PV technology.
Read more...High-Accuracy, EHV Battery Temperature Measurement DAQ: GM Application Note
Gantner Universal Test & Measurement DAQ Systems with Precise Temperature Measurement, Distributed I/O, and Signal Conditioning, Selected for GM (Chevy Volt) Battery Testing.
Read more...