Harnessing the power of Solar Data
IoT | CMS | CMMS | Analytics |PPC |
Grid Studies | Digital Twin
Efficient monitoring systems play a vital role in the optimal performance of solar power plants. Solar Intelligence Monitoring systems built by a team that has extensive experience in the renewable energy domain, having handled over 8.6 GW of renewable energy digital transformation and asset management. Provides real-time data collection, analysis, and control, enabling plant operators to make informed decisions and maximize energy generation.
Live data visualisation.
Fault Detection & Analytics.
Algorithms for reactive maintenance.
Central Monitoring System of Solar Plants
Mobile & Cloud based solution designed to monitor and control various processes and components of a power plant from a central location. It is a critical component of any power generation or production system, providing real-time monitoring, data analysis, and control capabilities to ensure safe and efficient operation
Devices that collect data from various sources, such as Inverters, Meters, and WMS sensors.
collects data from the sensors and converts it into digital signals for analysis and storage
Dashboards of the data collected, enabling them to make informed decisions
operators to control various processes and components of the power plant remotely
Seamlessly connects and sources data from multiple sources within your energy assets.
Monitor and manage the system from a central location. Respond quickly to any issues or emergencies that may arise.
Solar production, storage and usage. Detect any issues, optimize the system for maximum efficiency.
Maintenance, failures & safety hazards. respond quickly, reducing downtime & minimising the risk of safety hazards
Data logging and analysis capabilities to optimize system performance and efficiency.
Different levels of access and control. Ensuring only authorized can access critical components of the system
Business Intelligence (BI) AI bots can play a crucial role in optimizing Solar plants by providing real-time insights and predictions to help companies improve efficiency, reduce costs & achieve their sustainability goals.
BI AI bots use machine learning algorithms to optimise Solar productionby analysing various parameters such as PR, Inverter performance, Lossinsights, etc,.
AIchatbot to respond questions of Solar plant. Programmed with machinelearning algorithms to understand natural language queries and providerelevant information.
BIAI bots can analyze energy production patterns in Solar Power plants andidentify areas where energy is being wasted or inefficiently generated
BI AI bots can monitor equipmentperformance in real-time and identify potential issues before they becomecritical. This can help prevent downtime, reduce maintenance costs
Simulation | Analytics | Monitoring | Control
Digital twin simulates the plant's performance & provide real-time insights& recommendations for optimisation.
optimize the plant's energy efficiency by simulating the plant's performance under different operating conditions.
Digital twin predicts equipment failures. Uses ML to analyse data of performance and predict maintenance is needed
Adigital twin is a virtual replica of a physical system, and it can be used inhydrogen power plants to simulate the operation and performance of the plant ina virtual environment.
we specialize in delivering tailored solutions for green hydrogen applications through our advanced Central Monitoring System (CMS). Our CMS is designed to optimize the production, utilization, and management of green hydrogen in industrial settings.
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