On the calibration and applicability of global solar radiation models based on temperature extremities in India

Jamil, Basharat; Irshad, Kashif; Algahtani, Ali; Islam, Saiful; Ali, Md. Liakot; Shahab, Azam

doi:10.1002/ep.13236

Cited by 15 publications

(17 citation statements)

References 56 publications

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“…The proliferation in energy demand is evolving as a serious issue globally, due to rapid industrialization and urbanization. At present, approximately 80% of global and 65% of Indian energy demand depends upon the conventional sources such as natural gas, coal, and liquid fuels . Resource scarcity, energy security, emission of both primary and secondary air pollutants, and the resultant climate change are dominant issues analogous to energy generation using these resources.…”

Section: Introductionmentioning

confidence: 99%

Assessment of 50 kWp rooftop solar photovoltaic plant at The ICFAI University, Jaipur: A case study

Mukherji

Mathur

Bhati

et al. 2019

Env Prog and Sustain Energy

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Currently, India is espousing nonconventional energy sources at an express rate owing to concerns about climate change, emission of harmful greenhouse gases (GHG), and exhausting conventional energy sources. The solar photovoltaic (SPV) plants are, hence, expected to play a noteworthy role to meet energy security and sustainability goals. Contemporary studies reveal substantial ecological concerns associated with installing the ground mounted SPV plants in urban locations. Further observations depict that aforementioned plants need additional land, transmission, and distribution infrastructures. Consequently, rooftop SPV plants are the best solution to produce energy in urban locations, owing to the availability of a large number of empty rooftop spaces with least capacity expenditure. The present article discusses the techno-economic and ecological aspects of a 50 kWp rooftop SPV plant installed at ICFAI University, Jaipur. The plant has produced around 64.149 MWh in the year 2017. The technical assessment focuses on the effects of the meteorological parameters upon energy generation factors. The annual average final yield, reference yield, capacity utilization factor, and performance ratio found to be 106.9 kWh/kWp/month, 149.7 kWh/kWp/month, 14.64 and 70%, respectively. The economic parameters like net present value, internal rate of return, profitability index, and payback period are computed with 0-50% subsidy rates, which supports the financial viability of the plant. The plant contributed significantly to reducing GHG emissions by mitigating 102 t CO 2 , 128 kg SO 2 , 268 kg NO x , and 7,033 kg ash in the year 2017 as evident from the ecological investigation.Statement of industrial relevance: Manufacturing industries are extremely power intensive, as they utilize a substantial amount of energy during the production process. The utilization of sustainable energy sources can considerably curtail the major overhead cost, that is, power, and at the same time minimize pollution. Solar energy utilization is a viable option as large spaces are available not only on rooftops but also allied spaces like parking lots of the industries for installation of rooftop SPV plants.The industries by virtue of location receive extended periods of unimpeded sunlight, as these setups are positioned in separate industrial areas away from residential

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Section: Introductionmentioning

confidence: 99%

Assessment of 50 kWp rooftop solar photovoltaic plant at The ICFAI University, Jaipur: A case study

Mukherji

Mathur

Bhati

et al. 2019

Env Prog and Sustain Energy

View full text Add to dashboard Cite

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“…Statistical measures fail when the gridded data over- and underestimate in-situ data simultaneously. Therefore, GP overcomes these problems by combining the overall performance of a gridded dataset by comparing the statistically obtained outcomes (Behar et al 2015 ; Fan et al 2018 ; Jamil et al 2020 ). Also, the statistical measure cannot rank and compare numerous models in such a way as to select the best.…”

Section: Discussionmentioning

confidence: 99%

Selection of the gridded temperature dataset for assessment of thermal bioclimatic environmental changes in Amu Darya River basin

Salehie

Ismail

Shahid

et al. 2022

Stoch Environ Res Risk Assess

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Assessment of the thermal bioclimatic environmental changes is important to understand ongoing climate change implications on agriculture, ecology, and human health. This is particularly important for the climatologically diverse transboundary Amy Darya River basin, a major source of water and livelihood for millions in Central Asia. However, the absence of longer period observed temperature data is a major obstacle for such analysis. This study employed a novel approach by integrating compromise programming and multicriteria group decision–making methods to evaluate the efficiency of four global gridded temperature datasets based on observation data at 44 stations. The performance of the proposed method was evaluated by comparing the results obtained using symmetrical uncertainty, a machine learning similarity assessment method. The most reliable gridded data was used to assess the spatial distribution of global warming-induced unidirectional trends in thermal bioclimatic indicators (TBI) using a modified Mann–Kendall test. Ranking of the products revealed Climate Prediction Center (CPC) temperature as most efficient in reconstruction observed temperature, followed by TerraClimate and Climate Research Unit. The ranking of the product was consistent with that obtained using SU. Assessment of TBI trends using CPC data revealed an increase in the T min in the coldest month over the whole basin at a rate of 0.03–0.08 °C per decade, except in the east. Besides, an increase in diurnal temperature range and isothermally increased in the east up to 0.2 °C and 0.6% per decade, respectively. The results revealed negative implications of thermal bioclimatic change on water, ecology, and public health in the eastern mountainous region and positive impacts on vegetation in the west and northwest. Supplementary Information The online version contains supplementary material available at 10.1007/s00477-022-02172-8.

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“…Statistical measures fail when the gridded data over-and underestimate in-situ data simultaneously. Therefore, GP overcomes these problems by combining the overall performance of a gridded dataset by comparing the statistically obtained outcomes (Behar et al, 2015;Fan et al, 2018;Jamil et al, 2020). Also, the statistical measure cannot rank and compare numerous models in such a way as to select the best.…”

Section: Discussionmentioning

confidence: 99%

Selection of the Gridded Temperature Dataset for Assessment of Thermal Bioclimatic Environment Changes in Amu Darya River Basin

Salehie

Ismail

Shahid

et al. 2021

Preprint

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Assessment of the thermal bioclimatic environmental changes is important to understand ongoing climate change implications on agriculture, ecology, and human health. This is particularly important for the climatologically diverse transboundary Amy Darya River basin, a major source of water and livelihood for millions in Central Asia. However, the absence of longer period observed temperature data is a major obstacle for such analysis. This study employed a novel approach by integrating compromise programming (CP) and multicriteria group decision–making methods (MCGDM) to evaluate the efficiency of four global gridded temperature datasets based on observation data at 44 stations. The most reliable gridded data was used to assess the spatial distribution of global warming-induced unidirectional trends in thermal bioclimatic indicators (TBI) using a modified Mann-Kendall (MMK) test. Ranking of the products revealed Climate Prediction Center (CPC) temperature as most efficient in reconstruction observed temperature, followed by TerraClimate and Climate Research Unit (CRU). Assessment of TBI trends using CPC data revealed an increase in the minimum temperature in the coldest month over the whole basin at a rate of 0.03 to 0.08\(℃\) per decade, except in the east. Besides, an increase in diurnal temperature range and isothermally increased in the east up to 0.2\(℃\) and 0.6% per decade, respectively. The results revealed negative implications of thermal bioclimatic change on water, ecology, and public health in the eastern mountainous region and positive impacts on vegetation in the west and northwest.

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On the calibration and applicability of global solar radiation models based on temperature extremities in India

Cited by 15 publications

References 56 publications

Assessment of 50 kWp rooftop solar photovoltaic plant at The ICFAI University, Jaipur: A case study

Assessment of 50 kWp rooftop solar photovoltaic plant at The ICFAI University, Jaipur: A case study

Selection of the gridded temperature dataset for assessment of thermal bioclimatic environmental changes in Amu Darya River basin

Selection of the Gridded Temperature Dataset for Assessment of Thermal Bioclimatic Environment Changes in Amu Darya River Basin

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