| Yazarlar (3) |
Rezvan Rezaeızadeh
|
|
Ettahir El Haddi A. Omar
|
Prof. Dr. Aybaba HANÇERLİOĞULLARI
Kastamonu Üniversitesi, Türkiye |
| Özet |
| Today, solar energy is a very popular alternative energy source due to its enormous availability in nature. In this study, focusing on the electro-mechanical production industry of advanced PV/T solar panels, studies carried out on the development of new methodological methods for the efficiency of existing asset management practices of the infrastructure of this industry and the optimal improvement . For this, it is to integrate a power-generating PV/T panel and a solar thermal heating panel within the same collection surface. In this research, it was implemented using a new roof-mounted PV/T multi-reflection panel, which not only increases the power output of the PV/T panel, but most importantly, the aesthetic aspect is a major barrier to large-scale uptake of PV/TIn this study, we developed a new advanced MPPT(maximum power point tracking) algorithm such as Deep Neural Network (DNN) controller especially for photovoltaic system. The proposed DNN based MPPT algorithm is developed PV/T voltage, current and corresponding duty cycle. |
| Anahtar Kelimeler |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | Diğer hakemli uluslarası dergilerde yayınlanan tam makale |
| Dergi Adı | Inspiring Technologies and Innovation |
| Dergi ISSN | 2822-6062 |
| Dergi Tarandığı Indeksler | GOOGLE SCHOLAR |
| Makale Dili | Türkçe |
| Basım Tarihi | 01-2023 |
| Doi Numarası | 10.5281/zenodo.10119483 |
| Makale Linki | https://zenodo.org/records/10119483 |
| Atıf Sayıları |
