Renewable energy Mover :- this project utilizes three Renewable Energy Source ( electricity, solar and wind energy ) to create a robust smart energy distribution system. The project focus on design of drone based vehicle which utilizes the three energy alternately to store energy which can be transported to any region in the world regardless of energy distribution barrier. It is of great excellent as it does not depend on a single energy source ,this made it to be in energy service regardless of environmental factor as a certain energy source (either wind, sun or electricity) will always be maximally efficient at a particular period of time in a season. This project is design to create a vehicle that is smart enough to use the maximal energy source at a given period , store the energy and as well as transporting them. the with use of IOT to self driving can be implemented, AI to make use of weather forecast to locate and trap where renewable energy is maximally present.

Project Proposal

1. High-level project introduction and performance expectation

The major forms of renewable energy source faces the challenge of weather fluntaution which reduces the efficiency of the amount of enegy they can supply and also reduces climate change, global warming, and environmental pollution and resulting in a natural disaster due to the release of natural unfriendly substances into the environment. 

The best approach to eliminate this inefficiency in production and distrubution renewable energy hencce optimizing cost of production and consumption.  Renewable energy is useful energy that is collected from renewable resources, which are naturally replenished on a human timescale, including carbon-neutral sources like sunlight, wind, and electricity.

This project will focus on utilizing the combination of three renewable energy sources which are wind, solar and electric energy as an energy source  which can be stored alternatively, managed and controlled by location to another. Since FPGAs are key tools for modern computing that can be reprogramed to a desired functionality or application after manufacturing, therefore, FPGA will be used for monitoring and switching circuit controlling how, when, and where to store energy produce by each source and the one to be in the active mode supplying energy to the vehicle  at a particular point in time. 

2. Block Diagram

3. Expected sustainability results, projected resource savings

Reduction in global warming:  Our atmosphere is overloaded with carbon dioxide and other global warming emissions which act like a blanket, trapping heat and hence resulting in climate change. Some of those emissions come from fossil fuels like coal and natural gas. Therefore, leveraging renewable energy for our transport system will cause a significant reduction in the emission of these toxic substances.

 Reduction in environmental pollution and greenhouse gases 

Improvement in public health: The air and water pollution emitted by coal and natural gas plants is linked with breathing problems, neurological damage, heart attacks, cancer, premature death, and a host of other serious problems. Reduction in the demand for fossil fuels.  Intel FPGA provides great functionality for fast and efficient computation which can be interfaced with other components to achieve the required result.

4. Design Introduction

The project is intended for use in any energy firm that requires use of energy from energy resources from a remote-controlled station paired with AZURE Cloud  as well as optimization with other sources of energy in order to improve efficiency and stability of energy systems. It is the implementation of the project based on the intel FPGA DE10-nano that makes it possible to process information from multiple sensors for energy optimization.    

5. Functional description and implementation

This project is able to process data gotten from the on board sensors and make informed decision at an instant of how best to use energy resources available and in so doing improving efficiency. This project is implemented with a station with FPGA Cloud connectivity enabled. This project makes use an algorithm that processes the information to make relevant changes and the information is stored for as long as desired. It enable proper documentation of how energy is used and eventually reduce cost as well as conserve resources in that the data is acted upon to control energy used better.

 Functionality:

 Sensors: the sensors gathers weather informations , these informations are stored into the data base Azura cloud .

In a container , the information computed by the DE-10 are used to control the distribution board of  drive electrical loads and switch the power sources between the present energy sources.

6. Performance metrics, performance to expectation

Despite the Azure Sphere availabiility, the DE10 Nano board is certified for use with Azure IOT Services. The DE10 nano is flexible with design modules. Gsensor, temperature sensor helps to measure the temperature of its environment and converts the input data into electronic data and this is used to determine the atmospheric conditions which would help in solar energy detection and in some cases wind energy, the Humidity Sensor helps to measure the humidity in its environment to better predict possible conditions and take decisions as programmed, the Wi-Fi helps in cloud connnectivity, Ambient Light Sensor is used to detect the amount of light in the environment and help make more informed decision about the radiation levels for solar energy. The absence of additional attachments makes it better for energy optimization by the board. As expected this projec will have tons of optimization, and planetary resource saving potential. However, the solid metrics of this project has not been compared with an existing solution yet.The device was found suitable for processing big amount of data. The system was comparatively cheap requiring only the DE10 nano for computation. the System can be used in companies, hosipitals and anywhere energy optimization is required for renewable energy systems.

7. Sustainability results, resource savings achieved

The device does not require special devices to measure the environmental parameters.The absense of other systems allows for better use of enery and mobility since only the system is used and data acess is by the IoT panels and data queries. This reduces wastage in energy consumption, improves energy supply stability and reduces effect of weather flunctuations on energy supply. This approach allows data to be reported, analyzed and store information acquired for as long as needed. The data can also be converted to CSV format to process for other machine learning purposes and dedicated field studies.

8. Conclusion

In this project, we designed a system that can be used to optimize different sources of Renewable energy and at the same time control consumption of energy. The system consists of the cloud connectivity kit where the DE10 nano board is at the center of the system in processing all information gathered by the sensors present.  We use an algorithms to make informed decisions from each data gathered from the sensors thereby improving efficiency of the system 

The system is attached to the cloud for data collations, processing and transmissions, serving as a mini-weather station based energy control system

The variables to be processed can be customized for each standard of field of study. The data handling is the main task in this project.

For further work, we would be able to edit the system to give more informed decisions with better workflow for future use cases and track data processed better.