Techno-Economic Feasibility Analysis of a Stand-Alone Photovoltaic System for Combined Aquaponics on Drylands

Baiyin, Bateer; Tagawa, Kotaro; Gutiérrez, Joaquín

doi:10.3390/su12229556

Cited by 16 publications

(9 citation statements)

References 43 publications

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“…However, in practice, increasing the flow rate affects energy consumption [10]. Although abundant solar power can be used on drylands to try to reduce energy costs [36], if the increase in flow rate is too low, it will have little effect on the flow of the nutrient solution, which is not cost-efficient. If the increase in flow rate is too high, it will reduce the overall crop yield.…”

Section: Discussionmentioning

confidence: 99%

Effect of the Flow Rate on Plant Growth and Flow Visualization of Nutrient Solution in Hydroponics

et al. 2021

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In hydroponics, the flow pattern of nutrient solution in a cultivation container affects the growth of plants. Even if the flow rate of nutrient solution is the same between containers, the flow pattern may differ based on the size and shape of the containers. Therefore, the flow pattern cannot be comprehensively described by flow rate alone. In order to identify the relationship between plant growth, root morphology, nutrient uptake, and flow pattern, a hydroponic cultivation of Swiss chard was carried out. In addition, in order to describe the flow pattern in a specific cultivation container, hydroponic flow patterns were observed via flow field visualization using particle image velocimetry. As a result, with the increase in flow rate, it was found that a specific flow rate can form an ideal flow pattern for plant growth. Under this flow pattern, nutrient absorption is promoted and roots are elongated, thereby absorbing more nutrients and further promoting plant growth. However, when the flow rate exceeds the ideal value, plant growth is hindered. In summary, identifying the ideal nutrient solution flow pattern in hydroponics can facilitate better crop production.

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Section: Discussionmentioning

confidence: 99%

Effect of the Flow Rate on Plant Growth and Flow Visualization of Nutrient Solution in Hydroponics

et al. 2021

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“…At 21 DAT, the leaves were mostly the largest in plants grown in the floating system (Table 1). All pot systems take up little space in urban area and are considered as easy to manage, requiring no electrical energy, and of the low cost compared to hydroponic systems (Baiyin et al 2020); thus, it is more likely to be adopted in the urban community, including people whose financial capacity is limited.…”

Section: Resultsmentioning

confidence: 99%

Searching for Suitable Cultivation System of Swiss Chard (Beta vulgaris subsp. cicla (L.) W.D.J.Koch) in the Tropical Lowland

Ria

Lakitan

Sulaiman

et al. 2023

Journal of Horticultural Research

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Swiss chard as a leafy vegetable (Beta vulgaris subsp. cicla (L.) W.D.J.Koch) is rarely cultivated in the tropical climate zone because this plant has not been recognized by local farmers. The purpose of this study was to compare the performance of three cultivation systems, i.e., conventional, floating, and bottom-wet culture systems on three Swiss chard cultivars with different petiole colors, i.e., ‘Red Ruby’, ‘Yellow Canary’, and ‘Pink Passion’. The best result was obtained if the Swiss chard was cultivated using the floating system since the water was continuously available by the capillarity force through the bottom hole of the pots, as indicated by the highest number of leaves, total fresh weight, leaf blade dry weight, and petiole dry weight. Fresh weight amongst the three cultivars cultivated in each system did not show a significant difference. ‘Yellow Canary’ produced a larger petiole and heavier fresh weight of individual leaves, but a lesser number of leaves per plant. The leaf area estimation model using the leaf length × width as the predictor, and the zero-intercept linear regression was accurate for all Swiss chard cultivars, as the coefficient of determination was considerably high in ‘Red Ruby’ (0.981), ‘Pink Passion’ (0.976), and ‘Yellow Canary’ (0.982), respectively.

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“…In the above formula, K 1 , K 2 represents the change coefficient of voltage and current, I is electric current I SC is the short-circuit current, and V m is the battery voltage under standard conditions [15]. Its output voltage V cell and current I cell are calculated by the following formula:…”

Section: Mathematical Model Constructionmentioning

confidence: 99%

Optimization Scheduling Method of Solar Photovoltaic and Fuel Cell Combined Power Generation System

Xue

Zheng

Duan³

2022

SPEE

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The performance of the battery used in the traditional solar photovoltaic power generation system is poor, and the solar energy has a certain volatility, which makes the performance of the solar photovoltaic power generation system decline significantly. In order to improve the performance of the solar photovoltaic power generation system, a solar photovoltaic fuel cell combined power generation system has been developed. However, there are some problems in the process of traditional combined generation system optimal scheduling, such as high investment cost and total cost, and short generation time of optimal scheduling scheme. This paper takes solving the problems of traditional system optimal scheduling as the research goal, a new optimization scheduling method of solar photovoltaic and fuel cell combined power generation system was designed. The composition and topological structure of the solar photovoltaic fuel cell combined power generation system are analyzed. The system is composed of photovoltaic array, fuel cell, electrolytic cell, short-term energy storage unit and energy control unit. It can mainly convert sunlight radiation into electric energy, and convert it into DC or AC used by people through multiple links, so as to ensure the stability and security of power supply in our country. A scheduling model is established according to the photovoltaic cell power generation model, the fuel cell power generation model, the electrolytic hydrogen production model, the battery model, the power conversion model and the combined power generation system model. And the multi-objective cuckoo algorithm is used to solve the model, the optimization scheduling results of solar photovoltaic fuel cell combined power generation system are obtained. The experimental results show that the total investment cost of this method is reduced by 123678.4 yuan and 175858.7 yuan compared with the experimental comparison method, and the total cost is reduced by 301195.5 yuan and 414991.8 yuan compared with the experimental comparison method. It shows that compared with the experimental comparison method, the total investment cost and total cost of this method are lower, and the generation time of the optimal scheduling scheme is between 0.19s and 0.25s, and the practical application effect is good. It fully solves the problems existing in the traditional methods and has certain application significance.

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Techno-Economic Feasibility Analysis of a Stand-Alone Photovoltaic System for Combined Aquaponics on Drylands

Cited by 16 publications

References 43 publications

Effect of the Flow Rate on Plant Growth and Flow Visualization of Nutrient Solution in Hydroponics

Effect of the Flow Rate on Plant Growth and Flow Visualization of Nutrient Solution in Hydroponics

Searching for Suitable Cultivation System of Swiss Chard (Beta vulgaris subsp. cicla (L.) W.D.J.Koch) in the Tropical Lowland

Optimization Scheduling Method of Solar Photovoltaic and Fuel Cell Combined Power Generation System

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