Optimal Sizing and Techno-Economic Analysis of Grid-Independent Hybrid Energy System for Sustained Rural Electrification in Developing Countries: A Case Study in Bangladesh

Md. Rashedul Islam, Homeyra Akter, Harun Or Rashid Howlader and Tomonobu Senjyu
Additional contact information
Md. Rashedul Islam: Faculty of Engineering, University of the Ryukyus, 1 Senbaru, Nakagami, Nishihara-cho 903-0213, Japan
Homeyra Akter: Faculty of Engineering, University of the Ryukyus, 1 Senbaru, Nakagami, Nishihara-cho 903-0213, Japan
Harun Or Rashid Howlader: Faculty of Engineering, University of the Ryukyus, 1 Senbaru, Nakagami, Nishihara-cho 903-0213, Japan
Tomonobu Senjyu: Faculty of Engineering, University of the Ryukyus, 1 Senbaru, Nakagami, Nishihara-cho 903-0213, Japan

Energies, 2022, vol. 15, issue 17, 1-21

Abstract: The absence of electricity is among the gravest problems preventing a nation’s development. Hybrid renewable energy systems (HRES) play a vital role to reducing this issue. The major goal of this study is to use the non-dominated sorting genetic algorithm (NSGA)-II and hybrid optimization of multiple energy resources (HOMER) Pro Software to reduce the net present cost (NPC), cost of energy (COE), and CO 2 emissions of proposed power system. Five cases have been considered to understand the optimal HRES system for Kutubdia Island in Bangladesh and analyzed the technical viability and economic potential of this system. To demonstrate the efficacy of the suggested strategy, the best case outcomes from the two approaches are compared. The study’s optimal solution is also subjected to a sensitivity analysis to take into account fluctuations in the annual wind speed, solar radiation, and fuel costs. According to the data, the optimized PV/Wind/Battery/DG system (USD 711,943) has a lower NPC than the other cases. The NPC obtained by the NSGA-II technique is 2.69% lower than that of the HOMER-based system.

Keywords: hybrid renewable energy system; net present cost; cost of energy; techno-economic analysis; sensitivity; genetic algorithm; emission analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/17/6381/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/17/6381/ (text/html)

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:gam:jeners:v:15:y:2022:i:17:p:6381-:d:903739

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().