Multi-objective optimization software of hybrid solar-wind-diesel energy system | |
| Author | Kawin Jungsakulrujirek |
| Call Number | AIT Caps Proj no.ME-15-04 |
| Subject(s) | Solar energy 0 Renewable energy sources |
| Note | A capstone project report submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Engineering Mechatronics Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Caps. Proj. ; no. ME-15-04 |
| Abstract | In 2013, Thai government had invested 75,822 million baht on developing renewable energy technology. 45.6% of it went to wind energy, when 21.6% were on solar energy. Wind energy and solar energy are the fastest growing energy systems in Thailand since they are renewable, environmental friendly, and have a significant economy of scale supported by Swansons laws. However, their intermittent characteristics of energy supply bring about the requirement of energy storage system, a big cost of their system. This cost depends on the difference in unselectable energy supplying time and unchangeable energy demand. Solar energy supplies efficiently during daytime, especially on summer. Wind energy supplies energy higher during nighttime, and well in windy seasons. With a good combination ratio, they can smooth the curve of energy supply closer to demand to mitigate the big needs of energy storage system. Moreover, diesel energy system is introduced as a selectable energy source to give the system an alternative design for optimizing its cost as well. The aim of this project is to create a software that optimizes the cost of such hybrid energy system while including the concepts that past studies never include. Time and value of money, multi-objective optimization, dynamic characteristics of the system, and indirect costs are taken into consideration. The software optimizes cost by net present cost (NPC) approach while providing other information and graphs to support users decisions. The optimization process is programmed by Genetic Algorithm Optimization toolbox in MATLAB. Forecasted climate data, demand data, system costs, and system performances are gathered from different government ministries, and reliable organizations. Finally, the software is validated by comparing the optimized design with the one studied in Kohjik by King Mongkuls University. |
| Year | 2015 |
| Corresponding Series Added Entry | Asian Institute of Technology. Caps. Proj. ; no. ME-15-04 |
| Type | Capstone Project |
| School | School of Engineering and Technology (SET) |
| Department | Department of Industrial Systems Engineering (DISE) |
| Academic Program/FoS | Microelectronics (ME) |
| Chairperson(s) | Bohez, Erik L. J.; |
| Examination Committee(s) | Luong, Huynh Trung;Lin, Than; |
| Degree | Capstone Project (M.Eng.) - Asian Institute of Technology, 2015 |