Intelligent Energy Management for Production Facilities with Robotics Automation [IEMPRA]

This project shows the possibility of decreasing the power consumption of Industrial robotics. Design methodology for Intelligent Energy Management for Production Facilities with Robotics Automation [IEMPRA] is proposed to Cherkam, by predicting the energy consumption over the energy model, which delivers a guide to enable energy-efficient approaches. The total energy consumption is evaluated using ML and optimization of the robotic is described to propose a design interfaces with robotics and automation systems. Following, with design real time co-simulation for the integrated energy system, and the development of the control strategies and system, and for the design hybrid energy System. It is also incorporated with the real time optimization of energy consumption with LCC, and key performance indicators analysis. The optimal result of the project [IEMPRA] reduces the power consumption, the associated cost, and lowering the environmental pollution.

Faculty Supervisor:

Hossam Gaber

Student:

Amleset Kelati

Partner:

Cherkam

Discipline:

Engineering

Sector:

Other

University:

Ontario Tech University