Analyzing Causal Relationships of Sensor Data and Infrared Images to Stabilize Garbage Power Generation

Abstract

Garbage power generation is expected to play an important role as a renewable source of stable power. Steam is produced from the heat of combustion, and this is used to generate electrical energy. In order to supply continuous power, the combustion must be controlled so as to create a stable steam flow. In this report, we analyze sensor data from and infrared images of the furnace with the aim of stabilizing the steam flow.