Development of a Genetic Algorithm Optimization Model for Biogas Power Electrical Generation

Timothy Oluwaseun Araoye, C. A. Mgbachi, Olushola Adebiyi Omosebi, Oluwaseun Damilola Ajayi and Adeleye Qasim Olaniyan
Additional contact information
Timothy Oluwaseun Araoye: Department of Electrical and Electronics Engineering, Enugu State University of science and Technology, Enugu, Nigeria
C. A. Mgbachi: Department of Electrical and Electronics Engineering, Enugu State University of Science and Technology, Enugu, Nigeria
Olushola Adebiyi Omosebi: Department of Works and Services, Federal College of Education, Oyo, Nigeria.
Oluwaseun Damilola Ajayi: Department of Electrical and Electronics Engineering, University of Ibadan, Ibadan, Nigeria
Adeleye Qasim Olaniyan: Department of Electrical and Electronics Engineering, University of Ibadan, Ibadan, Nigeria

European Journal of Engineering and Technology Research, 2019, vol. 4, issue 2, 7-11

Abstract: Biogas power generation is renewable energy made from biological materials. Biogas power production is technology which helps in development of sustainable energy supply systems. This paper develops Genetic Algorithm optimization model for Biogas electrical power generation of Ilora in Oyo, Oyo state. The production is done using co-digestion system of pig dung and Poultry dung under the process of anaerobic digestion. The pig dung and poultry dung were mixed 50:50%. MATLAB and VISUAL BASIC Software was used to carry out simulations to develop optimized Genetic Algorithm model for Biogas power production with aims to improving electricity accessibility and durability of the community. The results of the research reveal the Empirical Biogas power production without and with Genetic Algorithm optimization. The Result showed that biogas electrical power generated without and with Genetic Algorithm Optimization were 5KW and 11.18KW respectively. The biogas power generation was increased by 6.18KW, which is 38.2% increase after Genetic Algorithm optimization. The results show the application of the Genetic Algorithm optimization model which can be used to improving Biogas power generation when amount of methane gas produced from the animal dung varies with speed of thermal rotating shaft.

Keywords: Biogas Power Production; MATLAB; VISUAL BASIC; Simulation; Genetic Algorithm Optimization; Pig Dung; Poultry Dung (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
https://eu-opensci.org/index.php/ejeng/article/view/61111 Abstract page (text/html)
https://eu-opensci.org/index.php/ejeng/article/download/61111/12039 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:4:y:2019:i:2:id:61111

DOI: 10.24018/ejeng.2019.4.2.1111

Access Statistics for this article

More articles in European Journal of Engineering and Technology Research from European Open Science
Bibliographic data for series maintained by Support ().