Efficiency estimation and hardware implementation of solar PV module system assisted by using surface plasmon resonance sensor
This article presents a multi-mode approach for controlling and optimizing the efficiency of solar photovoltaic systems, as well as for analyzing the response output of optical sensing systems. Solar energy has been detected efficiently in this paper using a surface plasmon chip. Initially, the dual...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-11-01
|
| Series: | Case Studies in Thermal Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X23007852 |
| _version_ | 1797672671710806016 |
|---|---|
| author | Vikash Kumar Sanjeev Kumar Raghuwanshi |
| author_facet | Vikash Kumar Sanjeev Kumar Raghuwanshi |
| author_sort | Vikash Kumar |
| collection | DOAJ |
| description | This article presents a multi-mode approach for controlling and optimizing the efficiency of solar photovoltaic systems, as well as for analyzing the response output of optical sensing systems. Solar energy has been detected efficiently in this paper using a surface plasmon chip. Initially, the dual axis tracking system was designed and manufactured according to the standard procedure outlined in the literature. The primary factors affecting the efficiency of a photovoltaic panel are proper site heating and panel cleaning. As a result, the proposed system is aimed at increasing the efficiency of photovoltaic panels by addressing the aforementioned issues. Dual axis tracking ensures that the irradiance is always perpendicular to the photovoltaic panel. Additionally, the cooling system mitigates losses caused by panel heating, and the cleaning system increases the PV panel's efficiency. The solar photovoltaic system's output is analyzed using an optical sensing system equipped with a surface plasmon resonance (SPR) sensor. To monitor and control the performance of a proposed prototype solar photovoltaic system using the Resbri Pi3 controller. The proposed system's efficiency is calculated experimentally and presented to confirm the prototype's efficiency. The result is analyzed in the optical domain by the SPR sensor chip. |
| first_indexed | 2024-03-11T21:34:33Z |
| format | Article |
| id | doaj.art-21184222539b43cbad218732b25a4972 |
| institution | Directory Open Access Journal |
| issn | 2214-157X |
| language | English |
| last_indexed | 2024-03-11T21:34:33Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Thermal Engineering |
| spelling | doaj.art-21184222539b43cbad218732b25a49722023-09-27T04:43:01ZengElsevierCase Studies in Thermal Engineering2214-157X2023-11-0151103479Efficiency estimation and hardware implementation of solar PV module system assisted by using surface plasmon resonance sensorVikash Kumar0Sanjeev Kumar Raghuwanshi1Department of Electrical Engineering, GLA University, Mathura, Uttar Pradesh 281406, India; Department of Electronics Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand 826004, India; Corresponding author. Department of Electrical Engineering, GLA University, Mathura, Uttar Pradesh 281406, India.Department of Electronics Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand 826004, IndiaThis article presents a multi-mode approach for controlling and optimizing the efficiency of solar photovoltaic systems, as well as for analyzing the response output of optical sensing systems. Solar energy has been detected efficiently in this paper using a surface plasmon chip. Initially, the dual axis tracking system was designed and manufactured according to the standard procedure outlined in the literature. The primary factors affecting the efficiency of a photovoltaic panel are proper site heating and panel cleaning. As a result, the proposed system is aimed at increasing the efficiency of photovoltaic panels by addressing the aforementioned issues. Dual axis tracking ensures that the irradiance is always perpendicular to the photovoltaic panel. Additionally, the cooling system mitigates losses caused by panel heating, and the cleaning system increases the PV panel's efficiency. The solar photovoltaic system's output is analyzed using an optical sensing system equipped with a surface plasmon resonance (SPR) sensor. To monitor and control the performance of a proposed prototype solar photovoltaic system using the Resbri Pi3 controller. The proposed system's efficiency is calculated experimentally and presented to confirm the prototype's efficiency. The result is analyzed in the optical domain by the SPR sensor chip.http://www.sciencedirect.com/science/article/pii/S2214157X23007852Air coolingAuto cleaningMaximum power point trackingOptical sensing systemSPRRaspberry pi3 controller |
| spellingShingle | Vikash Kumar Sanjeev Kumar Raghuwanshi Efficiency estimation and hardware implementation of solar PV module system assisted by using surface plasmon resonance sensor Case Studies in Thermal Engineering Air cooling Auto cleaning Maximum power point tracking Optical sensing system SPR Raspberry pi3 controller |
| title | Efficiency estimation and hardware implementation of solar PV module system assisted by using surface plasmon resonance sensor |
| title_full | Efficiency estimation and hardware implementation of solar PV module system assisted by using surface plasmon resonance sensor |
| title_fullStr | Efficiency estimation and hardware implementation of solar PV module system assisted by using surface plasmon resonance sensor |
| title_full_unstemmed | Efficiency estimation and hardware implementation of solar PV module system assisted by using surface plasmon resonance sensor |
| title_short | Efficiency estimation and hardware implementation of solar PV module system assisted by using surface plasmon resonance sensor |
| title_sort | efficiency estimation and hardware implementation of solar pv module system assisted by using surface plasmon resonance sensor |
| topic | Air cooling Auto cleaning Maximum power point tracking Optical sensing system SPR Raspberry pi3 controller |
| url | http://www.sciencedirect.com/science/article/pii/S2214157X23007852 |
| work_keys_str_mv | AT vikashkumar efficiencyestimationandhardwareimplementationofsolarpvmodulesystemassistedbyusingsurfaceplasmonresonancesensor AT sanjeevkumarraghuwanshi efficiencyestimationandhardwareimplementationofsolarpvmodulesystemassistedbyusingsurfaceplasmonresonancesensor |