Boosting economic growth in Africa with solar energy
Explain your idea in details:
To carry out the idea, Data Driven Modelling Approach and Maximum Powerpoint Tracking are used together to maximize the sunlight absorbed by the system. The aim of Maximum Powerpoint Tracking is realizing the best power that the panel can charge the battery. The tracker converts best voltage to get maximum current getting into the battery with the efficiency lies between 93% to 97%. With the help of this technology, MPPT solar charge controller can maximize amount of current going into the battery from PV module. The main functions include detecting the variation in current-voltage characteristics of solar cell, forcing PV module to operate at voltage close to maximum power point to draw maximum available power and reducing complexity of systems while output of system is maintained at high efficiency. For better result, Artificial Intelligence is introduced to simulate human intelligent by machine, which includes learning, reasoning and self-correction. Data data driven approach is followed as it uses the computational intelligence technique, which is a sub- branch of Artificial Intelligence. It can be utilized to guide the search of computational intelligence approach to perform more efficient search. When the sunlight is absorbed by solar tracker system, the data driven model would receive the data about how much light is absorbed. Through implementing a large number of trials, the model is shaped with the technology of machine learning.
Expected impact of your idea on sustainable development
The idea aims at improving the quality of solar tracking systems to lower the cost of using solar energy. It focuses in Africa because the supply of energy is not stable there. Throughout the improvement of solar tracking system, it does not only help to improve the energy supply there, but also utilize the energy source to set up more business companies. Lastly, it boosts the economic growth and increases the Gross Domestic Product (GDP) in Africa. The two main objectives in this idea are using Artificial Intelligence to improve the solar tracker system and maximizing the sunlight absorbed by the system. To evaluate success on sustainable development, the efficiency of converting best voltage to maximum current getting into the battery is measured. With the use of Maximum Powerpoint Tracker, it is expected that the efficiency is larger than 93%. In particular, Africa is chosen as it does not stable energy source as stated in World Energy Outlook. From now until 2040, there will be 30% rise in the demand for energy. In "International Energy Statistics", total electricity energy generation remains at same level from 2008-2012. Through this idea, one of the measurable success is providing stable energy source which could provide basic energy service to Africa citizen in long term. The last measure to success is reducing global temperature change. As climate change is one of the important issues worldwide, shifting the demand for energy from burning fossil fuels to using solar energy can be done in this idea. Through using solar energy, it is clean to environment and it does not pollute the environment. Therefore, it can help to reduce the effect of climate change.
Plans for implementation and sustainability
Business Model First step: PV input Second step(2 routes): Process to be modelled --> Observed output variable Model--> Predicted output variable (For shaping the model by Data driven Modeling Approach) Third step: Maximum Powerpoint Tracker Charge Controller (For maximizing the amount of current going into the battery from PV module) Last step: Charge the battery (with the use of Maximum Powerpoint Tracker Charge Controller) Applied Technology 1. Data driven modelling approach - Computational Intelligence: combination of neural networks, fuzzy rule- based systems, genetic algorithms, and model integration -Machine Learning: determine relationship between system's inputs and outputs data 2. Maximum Powerpoint Tracking -MPPT solar charge controller: detect variation in current- voltage characteristics of solar cell 3. Computer System -Artificial Intelligence: simulate human intelligence process by machines, including learning, reasoning and self-correction -Swarm Intelligence: studies how data change over time and the purpose is to simulate situations 4. Solar Tracker System - adjustable solar rack: detect angle of incident light ray to increase amount of energy absorbed Lastly, for the duration for implementation, I expect 2 years would be needed for the prototype and prepare for the development. And there would be one more year for developing the model in Africa.
I am a 21 years old student studying City University of Hong Kong. I am major in Total Quality Engineering and minor in Japanese Studies. As an Engineering student, I am enthusiastic in investigating novel things and data research. Throughout my learning about Quality Engineering, I am curious about the effectiveness of products and improvement of products and services. To describe myself, I am a student who is conscientiousness and love to be a volunteer. In my leisure time, I would like to help different kinds of people. In particular, I love to help people who have special education needs. I was Sign language Ambassador in Hong Chi Association and Inclusion Ambassador in University. Throughout the services, I discover the problems existing in society and this is also one of the motivation for me to develop new things to help as many people as possible. In my first year of study in University last year, I met a Professor in a course about interdisciplinary research. He told me lots of interesting experience about research in his life, which motivated me to do more different aspects of research in various fields. I did a research about developing optic sensor on smart phone with him last year. We joined the Young Professional Exhibition and Competition in home country, and won a ' My Favourite Booth Award'.