Solution
Bringing the Predictive Analytics and Big Data Capabilities from IoT to the Solar Industry
BD4BS is an industrial IoT player that focuses on the identification and prediction of revenue loss production problems in photovoltaic facilities, generated by failures and operations. We achive this through the analysis of data beyond what SCADA provides, with machine learning and predictive analytics algorithms and increasing the value with external data sources.
"These advanced analytical capabilities on a PV facility provide owners the ability to increase energy production that in the lifespan of a facility translates on millions of
Dollars."
The solution processes the information from the operation of the Photo Voltaic PV facility and external sources and generates recommendations to the operations and management O&M team to maintain the operation at maximum performance and hence maximize the electricity output from the facility, minimizing the loss from preventable (non meteorological or intrinsic system) causes and optimizing the O&M processes. The platform ingests all available data from SCADA systems in place in the photo voltaic facilities and also complementary information from other external sources (prices, weather, etc).
Using an electrical model of the facility and advanced predictive analytics algorithms the system monitors the performance of the park detecting different types of failures that can be prevented or corrected to maintain the facility working at maximum performance ratios and scheduling O&M
activities at times where its impact is minimized in the revenue generation of the facility
Big Data
Cloud Big Data Architecture
Current Monitoring technologies based in SCADA are focused in real-time and near-real-time with limited analytical capabilities and due to the high volumes of data are limited in the information they can store and analyze later. PV facilities are designed for 20 or more years of work life and in the present only a few days’ worth of accumulated data is kept and in a few days is stored in tapes that is never analysed again. Our approach takes advantage of the latest developments in technology for data processing and analysis to be able of maintain the usability of the data for much larger periods of time and to extract valuable information with direct impact on energy production and revenue generation.
Predictive Analytics
Cloud Analytics
As in any analytics situation it is not only important being able to process large amounts of data but also to know what to look for; a great part of the innovation from our companies comes in the form of the models and algorithms used
to analyse the data looking for the failures that can be corrected and optimizing the O&M maximizing the revenue.
Using an electrical model of the facility and advanced predictive analytics algorithms the system monitors the performance of the park detecting different types of failures that can be prevented or corrected to maintain the facility working at maximum performance ratios and scheduling O&M
activities at times where its impact is minimized in the revenue generation of the facility
Visualization
Cloud Dashboards & Reports
The solution processes the information from the operation of the Photo Voltaic PV facility and generates recommendations to the operations and management O&M team to maintain the operation at maximum performance and hence maximize the electricity output from the facility,
minimizing the loss from preventable (non meteorological) causes and optimizing the O&M processes. The platform ingests all available data from SCADA systems in place in the photo voltaic facilities and also complementary information from other external sources (prices, weather, etc).
Versión para imprimir