Performance, water quality and enviro-economic investigations on solar distillation treatment of reverse osmosis reject and sewage water

Reddy, K. S.; Sharon, H.; Krithika, D.; Philip, Ligy

doi:10.1016/j.solener.2018.07.033

Cited by 55 publications

(10 citation statements)

References 64 publications

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“…The most current solar distillation treatment studies Author (s) Solar style Utilized system An et al, [9] Basin type solar still by NSS-PVT technique Gupta et al, [10] PVT-CPC active solar distillation system Manchanda and Kumar [11] Single basin solar distillation cum drying unit with parabolic reflector Tiwari and Somwanshi [12] Single slope multiple wick solar still Reddy et al, [13] Tilted solar distillation unit Xu et al, [14] Solar distillation device of origami system Zhou et al, [15] Solar vacuum MD regeneration system Sharan et al, [16] Multi-effect distillation system Moh'd et al, [17] Hybrid solar-wind water distillation system.…”

Section: Tablementioning

confidence: 99%

“…The suggested station would be ideal for a location with plenty of brackish (impure) water, such as a river, lake, channel, or pond. A research by Reddy et al, [13] proposes treating RO reject and household sewage water in a single step using an indigenously built slanted solar distillation machine. Based on experimental observations, the unit's behavior, features, treated water quality, environmental advantages, and economics have been documented.…”

Section: Tablementioning

confidence: 99%

See 1 more Smart Citation

Numerical Study of a Basin Type Solar Still with a Double Glass Cover Under Winter Conditions

Nahoui¹,

Rebhi

Lorenzini

et al. 2021

ARFMTS

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A numerical analysis of a basin-type solar still with a double glass cover is done under winter circumstances of solar radiation, ambient temperature, and wind speed. Equations defining thermal balances of different components of traditional and double glass cover solar stills are used to describe the physical issue, which is then solved using the Gauss-Seidel numerical technique. The effects of solar radiation, ambient temperature, and wind speed on the daily production, internal efficiency, and overall performance of solar stills are calculated and illustrated. The findings demonstrate that a solar still with a double-glass cover is more productive and efficient than a solar still with a single glass cover.

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Section: Tablementioning

confidence: 99%

Section: Tablementioning

confidence: 99%

Numerical Study of a Basin Type Solar Still with a Double Glass Cover Under Winter Conditions

Nahoui¹,

Rebhi

Lorenzini

et al. 2021

ARFMTS

View full text Add to dashboard Cite

show abstract

“…But ANN can predict the performance only with more experimental readings. Reddy et al [9] highlighted major applications of the SDS in treating brackish water, reverse osmosis reject, air-conditioning reject, sewage water, alcohol, fertilizers etc. [3] It is also inferred that the demand for distillation of uids with impure substances goes on increasing day by day.…”

Section: Introductionmentioning

confidence: 99%

“…1. Simple architecture compared to ANN with multiple hidden layers [9] 2. Ability to predicting the performance of the system with more precise than ANN 3.…”

Section: Introductionmentioning

confidence: 99%

Predicting the Performance of Passive Solar Distillation Using Generalized Regression Neural Network

Sankaran¹

2021

Preprint

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In this study, the performance appraisal of the passive double slope solar distillation (PDSSD) was predicted using the generalized regression neural network (GRNN) model. The performance estimation of passive solar distillation is a complicated one because of unsteady and uncertain atmospheric conditions. For this purpose, a set of experiments has conducted for seven successive days, and results were compared with the GRNN model. The proposed GRNN consists of five inputs (solar irradiance, ambient temperature, basin temperature, surface water temperature, glass cover temperature) and two outputs (distillate yield and efficiency). Such network architecture was trained and validated with a set of experimental data values. The predicted results of the GRNN model follow a good trend with experimental data. The overall accuracy of the predicted GRNN is 99.58%.

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“…China is a big country in water resources. By 2017, the total water resources in China is about 2,876.12 billion m 3 , including groundwater resources, which is about 83.91 billion m 3 . At the same time, China is a big water user.…”

Section: Introducementioning

confidence: 99%

Study on the model of domestic sewage resource utilization

Qu¹,

Wang²

2021

E3S Web Conf.

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In recent years, with the degree of urban-rural integration, the economic level of rural areas and the improvement of residents’ health awareness, the water quality pollution of rural domestic sewage has increased year by year, and the problem of rural sewage discharge has become increasingly prominent. In order to improve the rural water environment and solve the problem of random discharge of sewage, this paper takes the rural domestic sewage as the research object, and takes the natural sedimentation and anaerobic fermentation as the main means to study the on-site resource utilization technology of sewage. It was found that after 3 hours of sewage sedimentation, organic suspended solids settled naturally, resulting in a significant decrease of COD in the upper sewage to 93.29 mg/L. Because of the special bimolecular structure of LAS, the concentration of LAS in surface sewage increased sharply to 7.68mg/L, but it was lower than 10mg/L, which met the irrigation water standard.

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Performance, water quality and enviro-economic investigations on solar distillation treatment of reverse osmosis reject and sewage water

Cited by 55 publications

References 64 publications

Numerical Study of a Basin Type Solar Still with a Double Glass Cover Under Winter Conditions

Numerical Study of a Basin Type Solar Still with a Double Glass Cover Under Winter Conditions

Predicting the Performance of Passive Solar Distillation Using Generalized Regression Neural Network

Study on the model of domestic sewage resource utilization

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