Editing Introduction to Edge Computing (section)

=== 1.3.3 Energy & Smart Grids ===
The energy sector is undergoing a digital transformation, integrating smart grids, renewable energy sources, and real-time energy management solutions. These systems must process large volumes of data efficiently.
==== Smart Grids: ====
Smart grids are modernized electrical grids that use sensors and automation to manage electricity flow efficiently. Edge computing enables local analysis of consumption patterns, detection of faults, and real-time rerouting of power in response to surges or outages. This ensures continuous service and quicker fault resolution without needing to send data to centralized servers, improving grid reliability and reducing downtime.

==== Wind/Solar Farm Optimization: ====
Renewable energy farms use edge computing to monitor and adjust operations in real-time. For instance, wind turbines can adjust blade angles based on wind speed, and solar panels can tilt to capture maximum sunlight. Edge processors handle data from environmental sensors locally, enabling these adjustments instantly. This enhances energy generation efficiency and extends equipment life by reducing mechanical strain.

==== Pipeline Monitoring: ====
Pipelines transporting oil or gas must be monitored continuously for leaks, pressure anomalies, or flow disruptions. Edge computing devices installed along pipelines process sensor data in real-time to detect these issues early. If a leak or abnormal pressure is identified, the system can shut valves or alert maintenance teams immediately. This rapid detection is critical to prevent environmental damage and financial loss.