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Electricity Generator Automation Prototype
The persistent shortage of electricity in numerous Middle Eastern nations, notably Iraq, is a challenging predicament. The state sector provides power supply in most Middle Eastern countries, including Iraq, and the government funds power plants. Despite Iraq's substantial oil reserves, it grapples with the challenge of satisfying its electricity demand, stemming from multifaceted factors. Local electricity generators have emerged as a prevailing solution for bridging the electricity deficit in Iraq. The government and local people depend on these electric generators for everyday life, and the private sector owns them. The prevalent use of Iraq's types of Electricity Generators (EG) adds complexity, entangled with challenges, including manual operation, the exigency of maintenance, and the necessity for vigilant monitoring of engine oil quality for local EG. These electric generators are small-sized local generators that can supply electricity for nearly 200-400 homes. The core aim of this thesis is to forge an automated operation system granting a solution to govern these local Electricity Generators, the central tenets of this objective include the automation of operational control, seamless integration of sensors, facilitation of a user-friendly interface, and the implementation of automated responses. This project details the creation of a conceptual framework and methodology for a project involving designing and implementing a prototype with specific hardware components, including microcontrollers. It emphasizes the explanation of functions for these elements and their integration into the prototype. The thesis process includes schematic diagrams, hardware and sensor testing, software development, and coding for Raspberry Pi Pico and a user-friendly interface. Testing procedures encompass both hardware and coding, leading to a summary of crucial findings for automating Electricity Generator operations and future upgrades.
Electricity Generator Automation Prototype
The persistent shortage of electricity in numerous Middle Eastern nations, notably Iraq, is a challenging predicament. The state sector provides power supply in most Middle Eastern countries, including Iraq, and the government funds power plants. Despite Iraq's substantial oil reserves, it grapples with the challenge of satisfying its electricity demand, stemming from multifaceted factors. Local electricity generators have emerged as a prevailing solution for bridging the electricity deficit in Iraq. The government and local people depend on these electric generators for everyday life, and the private sector owns them. The prevalent use of Iraq's types of Electricity Generators (EG) adds complexity, entangled with challenges, including manual operation, the exigency of maintenance, and the necessity for vigilant monitoring of engine oil quality for local EG. These electric generators are small-sized local generators that can supply electricity for nearly 200-400 homes. The core aim of this thesis is to forge an automated operation system granting a solution to govern these local Electricity Generators, the central tenets of this objective include the automation of operational control, seamless integration of sensors, facilitation of a user-friendly interface, and the implementation of automated responses. This project details the creation of a conceptual framework and methodology for a project involving designing and implementing a prototype with specific hardware components, including microcontrollers. It emphasizes the explanation of functions for these elements and their integration into the prototype. The thesis process includes schematic diagrams, hardware and sensor testing, software development, and coding for Raspberry Pi Pico and a user-friendly interface. Testing procedures encompass both hardware and coding, leading to a summary of crucial findings for automating Electricity Generator operations and future upgrades.
Electricity Generator Automation Prototype
Mohammad Sh, Rose (author)
2023-01-01
URN:NBN:fi:amk-2023112431590
Theses
Electronic Resource
English
DDC:
690