Experimental investigations on the seasonal performance variations of directly coupled solar photovoltaic water pumping system using centrifugal pump

Sontake, Vimal Chand; Tiwari, Arunendra K.; Kalamkar, Vilas R.

doi:10.1007/s10668-020-00965-x

Cited by 10 publications

(1 citation statement)

References 24 publications

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“…V. Sontake, A. Tiwari, and V. Kalamkar in [7] evaluated the executions of DC that have been directly fixed energized photovoltaics structures. The structures operate without electronic controls.…”

Section: Literature Reviewmentioning

confidence: 99%

A Survay on Photovoltaics Technology for Water Pumping

2021

JMC

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Due to the evident shortfalls in the high costs of diesel and current, the requirements of pumping for agricultural and aqua supply have been affected. In that regard, utilizing solar energy to pump aqua is a potential technology for diesel-driven and conventional propelling structures. Propelling aqua using solar energy is done using photovoltaics techniques that transform energy from the sun into useful power meant to operate AC or DC engine-driven hydraulic ram. This research contribution provides a critical evaluation of the solar propelling technology e.g. Maximum Power-Point Trackers (MPPTs) and is based on economic viabilities of solar photovoltaics techniques and schemes, execution evaluation, photovoltaics generator degradation, and optimum sizing that distributes power to the electropumps. This analysis also relates to environmental and economic aspects, advanced Photovoltaics materials, and potential enhancements. Updates regarding the present condition and usage of solar H2O propelling technologies have also been focusing in this analysis.

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Section: Literature Reviewmentioning

confidence: 99%

A Survay on Photovoltaics Technology for Water Pumping

2021

JMC

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Evaluation and performance comparison of different models for global solar radiation forecasting: a case study on five cities

Ali,

Elsayed,

Elkabani

et al. 2023

Environ Dev Sustain

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Recently, solar energy has emerged as the most promising renewable energy source to meet the world’s energy demands. However, to harness the potential of solar energy, accurate data on solar radiation are crucial. It is considered the first step in assessing solar resources for various applications and achieving energy sustainability goals. Due to the unavailability of solar radiation measurements in many parts of the world, several models have been developed to predict global solar radiation (GSR) at these locations. Thus, this study aims to evaluate the proficiency of several GSR models at five new locations and determine the most suitable one for GSR prediction. The study has further developed solar radiation models for these new locations, as well as general ones for the entire region, which does not have any GSR models despite the existence of many planned solar energy facilities in this area. Additionally, the study investigates the effect of changing the length of the validation dataset on models’ performance and accuracy, as well as assesses the introduced models’ generalization capability. To achieve these objectives, the observed data of GSR for approximately 37 years at studied locations are used to develop and validate the proposed models. The study’s findings reveal that Model 1 provides the best performance at all locations, with accuracy, coefficient of determination ($$R^{2}$$ R 2 ), ranging from 95 to 98%, except for the coastal location, where it is from 91 to 95%. The remaining performance indicators of the best models, such as RMSE, MABE, MAPE, and $$r$$ r , are good, and their values range from 0.7863 to 1.9097 (MJ m−2 day−1), from 0.6430 to 1.7060 (MJ m−2 day−1), from 3.4319 to 10.0890 (%), and from 0.9914 to 0.9981, respectively. The length of the validation dataset has a slight effect on the models’ performance, ranging from about 1% to 2%. Therefore, Model 1 is the recommended solar radiation model, which can provide precise and rapid estimates of global solar radiation. This approach could be used in the design and performance evaluation of many solar applications. The primary benefit of this approach in the current investigation is that temperature data are continuously and effortlessly recorded for various purposes.

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