An Intelligent Load Optimisation for Self-Powered Robotic Parking House in Inhabited Areas

This article discusses the results of a comprehensive study of an automatic parking house a modern approach to utilizing off-grid technologies with advanced load optimization to a Self-Powered Robotic Parking House (S-PRPH). S-PRPHs represent large technical solutions for parking in densely populated areas. The automatic parking building includes Automated Guide Vehicle (AGV) systems developed by the team of authors. AGV pallets are part of the parking building energy consumption. This solution solves urban parking needs, including energetic self- sufficiency, balancing between price and an optimal number of parking spaces, and the maximum use of the building surface for green areas that provide oxygen production, filtration of dust particles, and appropriate water management. Intelligent Load Optimisation (ILO) is a part of S-PRPH management and is based on the Non-dominated sorting genetic algorithm II. The article describes the results of an ILO based on multi-objective optimization and methods of demand-side management in three variants. The results of this study are due to a fundamentally positive impact on load optimization in the off-grid system’s size of building with weather conditions of Central Europe.