What problems does it solve?
Humans cannot process vast amounts of data from complex manufacturing or energy processes as quickly and accurately as computers can. As a result, crucial patterns may go unnoticed, leading to missed opportunities for process optimization and efficiency improvements. In the renewable energy (OZE) sector, this could mean inefficient energy generation management, undetected anomalies in wind and solar farms, or inaccurate energy demand forecasts.
What is it and what are the benefits?
Big Data is a technology that collects and analyzes massive datasets, identifying hidden patterns over time. It provides a comprehensive overview of operations, supporting data-driven decision-making at all levels of an organization.
- In manufacturing, Big Data helps optimize production, reduce downtime, and increase overall efficiency.
- In OZE, it enables performance analysis of energy systems, minimizes energy losses, and improves energy production forecasting based on weather conditions.
Big Data also allows for predictive planning, helping businesses anticipate future needs and enhance their strategies for energy production, distribution, and storage.
How does it work?
Big Data aggregates data from multiple sources, including Internet of Things (IoT) devices, machinery, ERP systems, and sensors. While IoT and telemetry focus on real-time monitoring, Big Data provides a broader long-term analytical perspective, uncovering insights that might be missed in daily operations.
In OZE, Big Data systems can integrate information from weather sensors, photovoltaic inverters, wind turbines, and energy storage systems. This allows for more effective grid management, energy consumption optimization, and anomaly detection in energy infrastructure performance.
