Air to Energy using Logicized system

We have seen that Pakistan is facing an energy crisis as well as pollution due to electricity production from oil and coal. Moreover, fossil fuels are expensive, which causes financial crisis too and we do not have oil reserves to cope with our energy needs so it is better to switch to green energy

2025-06-28 16:25:04 - Adil Khan

Project Title

Air to Energy using Logicized system

Project Area of Specialization Internet of ThingsProject Summary

We have seen that Pakistan is facing an energy crisis as well as pollution due to electricity production from oil and coal. Moreover, fossil fuels are expensive, which causes financial crisis too and we do not have oil reserves to cope with our energy needs so it is better to switch to green energy which is pollution-free as well as less expensive. We have a lot of traffic so why not consume the movement of that vehicle traffic? So we will be generating electricity by the movement of vehicles on metro stations and motorways. However, our project will not be only confined to wind only, it will also be generating electricity from solar panels. In this way, we will be trying to cope with our energy needs in a less expensive way. Our turbines and panels will be connected through the Internet of Things (IoT) and all data will be monitored from the control room as well as an android application through a remote server. This data will be used from fault analysis using Artificial Intelligence (AI).

Project Objectives

Objectives

Project Implementation Method

Methodology

The research and development of this proposed system are mainly focused on the performance analysis and the early warning system of the wind turbine. To achieve this, it needs to have sufficient acquisition and analysis of monitoring data and make correct judgments regarding faults. Therefore, the organization of the system is divided into two themes to be carried out respectively:

Benefits of the Project

Applications/Features

Technical Details of Final Deliverable

The microprocessor is used as the system master monitoring chip in the embedded wind turbine monitoring unit. The monitoring items are included wind speed sensor, wind direction sensors, temperature sensor, voltage sensor, current sensor, and vibration analysis. The off-the-shelf sensor is used to read the status of the wind turbine and the internal Analogue to Digital Converter (ADC) conversion function of the microprocessor is used for numerical conversion. The Inter-Integrated Circuit (I2C) communication interface is used to read the result of the vibration analysis. So, these items are measured with the monitoring module and the measured values are all displayed on the Web application [1].

Data collected from the sensors will be sent to the remote server using one of the access methods ie. 2G/3G/4G/NB-IoT or Agile gateway.

Then data will be used for real-time monitoring and fault analysis. Reports will be generated on the basis of analysis and then alerts will be generated.

Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther Industries Energy , Telecommunication Core Technology Internet of Things (IoT)Other Technologies Artificial Intelligence(AI), Cloud InfrastructureSustainable Development Goals Good Health and Well-Being for People, Affordable and Clean Energy, Decent Work and Economic Growth, Industry, Innovation and Infrastructure, Climate ActionRequired Resources
Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
Total in (Rs) 39600
Wind turbine Equipment11200012000
Anemo meter Equipment146004600
Micro controller Equipment112001200
Sensors Equipment47002800
Cloud subscription Equipment11900019000

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