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Mondal, Surajit
- An Overview of Cleaning and Prevention Processes for Enhancing Efficiency of Solar Photovoltaic Panels
Abstract Views :395 |
PDF Views:115
Authors
Surajit Mondal
1,
Amit Kumar Mondal
2,
Abhishek Sharma
3,
Vindhya Devalla
4,
Sravendra Rana
1,
Suresh Kumar
5,
Jitendra Kumar Pandey
1
Affiliations
1 Department of Research and Development, University of Petroleum and Energy Studies, Dehradun 248 007, IN
2 Electronics, Instrumentation and Control Engineering, University of Petroleum and Energy Studies, Dehradun 248 007, IN
3 Electronics, Instrumentation and Control Engineering. University of Petroleum and Energy Studies, Dehradun 248 007, IN
4 Aerospace Engineering, University of Petroleum and Energy Studies, Dehradun 248 007, IN
5 Mechanical Engineering, University of Petroleum and Energy Studies, Dehradun 248 007, IN
1 Department of Research and Development, University of Petroleum and Energy Studies, Dehradun 248 007, IN
2 Electronics, Instrumentation and Control Engineering, University of Petroleum and Energy Studies, Dehradun 248 007, IN
3 Electronics, Instrumentation and Control Engineering. University of Petroleum and Energy Studies, Dehradun 248 007, IN
4 Aerospace Engineering, University of Petroleum and Energy Studies, Dehradun 248 007, IN
5 Mechanical Engineering, University of Petroleum and Energy Studies, Dehradun 248 007, IN
Source
Current Science, Vol 115, No 6 (2018), Pagination: 1065-1077Abstract
The energy produced by solar photovoltaic (SPV) modules is directly connected with the solar accessible irradiance, spectral content, different variables like environmental and climatic components. Dust and bird droppings are considered as the real challenges for SPV performance. This article covers dust-related challenges and advanced improvements made on the automated cleaning system, by providing a brief framework on strategies such as mechanical, electrical, chemical and electrostatic. The environmental impact of cleaning processes has also been evaluated, which is directly related to the ultimate performance of overall conversion.Keywords
Automated Cleaning Process, Dust, Electrodynamic Screening, Particle Removal, Solar Photovoltaics.Full Text
References
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- Assessment of Rainfall Variability and its Impact on Groundnut Yield in Bundelkhand Region of India
Abstract Views :241 |
PDF Views:78
Authors
Affiliations
1 ICAR Research Complex for Eastern Region, ICAR Parisar, P. O. Bihar Veterinary College, Patna 800 014, IN
2 Indian Grassland and Fodder Research Institute, Near Pahuj Dam, Gwalior Road, Jhansi 284 003, IN
1 ICAR Research Complex for Eastern Region, ICAR Parisar, P. O. Bihar Veterinary College, Patna 800 014, IN
2 Indian Grassland and Fodder Research Institute, Near Pahuj Dam, Gwalior Road, Jhansi 284 003, IN
Source
Current Science, Vol 117, No 5 (2019), Pagination: 794-803Abstract
Bundelkhand region, one of the vulnerable areas in central India, is prone to frequent drought and crop failure due to annual rainfall variability. In this study, long-term (113 years) fine resolution (0.25° × 0.25°) daily gridded rainfall data has been analysed to depict a spatial variation of annual rainfall over Bundelkhand. An increase in annual rainfall has been observed from north to south of the study area. A declining trend varying from 0.49 to 2.16 mm per year is observed in annual rainfall time series in most parts of the study area. Trend analysis of monsoon rainfall shows overall declining trend over the study area. Rainfall events are categorized in various classes and their spatial trends over Bundelkhand are depicted. Kharif crop calendar (July–September) as well as its yield in India, including Bundelkhand, is primarily based on monsoonal rainfall parameters. A study on the relationship between groundnut yield and monsoonal rainfall parameters for Jhansi district in Bundelkhand shows highest correlation (0.46) between groundnut yield and rainfall class 3 events (16 ≤ rainfall intensity, mm day–1 < 32) occurred in a year followed by cumulative rainfall amount precipitated during June–July (JJ). The frequency of rainfall class 5 type (64 ≤ rainfall intensity, mm day–1 < 128) as well as a delay in onset of monsoonal rainfall have shown a negative correlation with groundnut yield. This study depicts rainfall pattern over the study area and identifies the vulnerable areas that are likely to experience more water stress due to rainfall variability.-Keywords
Bundelkhand Region, Groundnut Yield, Indian Monsoon Rainfall, Rainfall Intensity Class.Full Text
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- Assessing the impact of air pollution on trees and crops in the Eastern Gangetic Plains of India
Abstract Views :120 |
PDF Views:77
Authors
Rachana Dubey
1,
Arbind Kumar Choudhary
1,
Shreetu Singh
2,
Anurag Ajay
3,
Santosh Kumar
1,
Rakesh Kumar
1,
Surajit Mondal
1,
Vivek Kumar Singh
1
Affiliations
1 ICAR-Research Complex for Eastern Region, Patna 800 014, India, IN
2 Amity University, Noida 201 301, India, IN
3 International Maize and Wheat Improvement Centre, Patna 800 025, India, IN
1 ICAR-Research Complex for Eastern Region, Patna 800 014, India, IN
2 Amity University, Noida 201 301, India, IN
3 International Maize and Wheat Improvement Centre, Patna 800 025, India, IN
Source
Current Science, Vol 124, No 8 (2023), Pagination: 956-963Abstract
Air pollution is one of the environmental concerns which is a threat to the health of our plants and animals. Little knowledge exists in the literature about its impact on trees and crops. The objective of the present study was to assess the impact of air pollutants on the biochemical parameters of 19 tree and crop species from five different locations in Patna, Bihar, India. Air pollution tolerance index value showed that Ficus religiosa, Zea mays, Carthamus tinctorius and Cajanus cajan were more tolerant compared to the other crops. Anticipated performance index value showed that trees like F. religiosa, Azadirachta indica and Mangifera indica and crops like C. cajan, Z. mays and Triticum aestivum were most suitable under air pollution conditionKeywords
Air pollution tolerance index, anticipated performance index, particulate matter, trees and crops.Full Text
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