Performance analyses of various commercial photovoltaic modules based on local spectral irradiances in Malaysia using genetic algorithm. (15th May 2021)
- Record Type:
- Journal Article
- Title:
- Performance analyses of various commercial photovoltaic modules based on local spectral irradiances in Malaysia using genetic algorithm. (15th May 2021)
- Main Title:
- Performance analyses of various commercial photovoltaic modules based on local spectral irradiances in Malaysia using genetic algorithm
- Authors:
- Seera, Manjeevan
Tan, Choo Jun
Chong, Kok-Keong
Lim, Chee Peng - Abstract:
- Abstract: A novel comprehensive methodology integrated with genetic algorithm (GA) has been formulated by accounting for local spectral irradiance and the specifications of commercial photovoltaic (PV) module. Despite having the same solar irradiance, variation in power conversion efficiency (PCE) of PV module can be significant in different site locations by referencing to that of standard AM1.5 spectrum. We have carried out a case study using GA for a combination of three site locations in Peninsular Malaysia and twelve types of commercial PV modules. Type-9 PV module operating in Bangi has recorded the lowest gain with 0.1%, while type-10 PV module operating in Bandar Sungai Long has shown the best gain of up to 27%. For solving multi-objective problems, MmGA and NSGAII have been applied to optimize three objectives concurrently including PCE, PV weight and PV panel area. From the simulation, type-1, type-6, and type-12 PV modules show the best in at least two objectives for the categories of m-Si, p-Si, and thin film, respectively. Graphical abstract: Image 1 Highlights: A comprehensive methodology has been formulated using genetic algorithm. Type-9 PV module operating in Bangi has the lowest gain with 0.1%. Type-10 PV module operating in Bandar Sungai Long has the best gain with 27%. Type-7 PV module shows the highest increment 27.5% in annual energy yield. Type-1, type-6 & type-12 PV modules are optimized for m-Si, p-Si & thin film.
- Is Part Of:
- Energy. Volume 223(2021)
- Journal:
- Energy
- Issue:
- Volume 223(2021)
- Issue Display:
- Volume 223, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 223
- Issue:
- 2021
- Issue Sort Value:
- 2021-0223-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-05-15
- Subjects:
- Annual energy yield -- Commercial photovoltaic module -- Genetic algorithm -- Local spectral irradiance -- Power conversion efficiency
Power resources -- Periodicals
Power (Mechanics) -- Periodicals
Energy consumption -- Periodicals
333.7905 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.energy.2021.120009 ↗
- Languages:
- English
- ISSNs:
- 0360-5442
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.445000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17387.xml