Abstract
This paper presents an in-depth energy analysis for hybrid straddle carrier to identify their energy consumption sources and discover energy reduction potentials. The methodology incorporates analysis of motions, performance data acquisitions by data logger, video analysis and spatial information analysis. Impact of various hybrid straddle carrier motions to energy consumption is presented and its total energy consumption is compared to diesel-driven straddle carrier. Subsequently, energy consumption model is calculated to grasp fuel coefficient associated to each motions that forms a movement of hybrid straddle carrier. Finally, prediction of energy use is calculated based on analysis of motion as a decision support system for container handling tasks.
