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Features
Explore the range of services we offer at Solar Data Collector. From installation to maintenance, we provide top-notch solutions for all your solar panel needs.
Forecasting
The energy forecasting feature anticipates hourly energy production for the plant over the next 7 days, considering both DC and AC levels while accounting for component degradation. Users have the option to improve accuracy by adding meteorological station, though it's not mandatory as per Solar Data Collector requirements.
Digital Twin
A Digital Twin for the Solar Data Collector is a virtual replica of the solar energy system, created to monitor and optimize the performance of photovoltaic (PV) plants. By collecting and analyzing real-time data from various sensors, the Digital Twin provides a dynamic simulation of the plant’s operations, enabling accurate performance tracking, predictive maintenance, and energy flow analysis. It allows operators to visualize the energy production, storage, and consumption in a digital environment, helping to identify inefficiencies, predict potential failures, and improve overall energy management. This tool enhances decision-making by offering actionable insights to optimize energy generation, reduce costs, and increase the longevity of the solar assets.
Energy Metrics
The Energy Metrics Dashboard provides a comprehensive overview of your energy system, allowing you to monitor key metrics like total Production from your photovoltaic (PV) system, energy flow from PV to Consumer, PV to Grid, Grid to Consumer, and PV to Battery. It also tracks your total Consumption, helping you understand how much energy is being used, and displays CO2 Savings to show how much carbon emissions are being reduced by utilizing solar energy. Additionally, the Points system rewards you for optimizing your energy efficiency and sustainability, offering insights into your system’s performance and helping you make informed decisions to improve energy management.
Inverter Efficiency
This metric shows the DC/AC conversion efficiency for each inverter, offering both total and daily averages. It helps detect performance drops below nominal values, which could indicate defects or malfunctions in the inverter. Monitoring this data ensures efficient operation and early detection of potential issues.
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