Practicality of using solar energy for cassava irrigation in the Guangxi Autonomous Region, China

Yu, Yongqiang; Liu, Jiahong; Wang, Ying; Xiang, Chenyao; Zhou, Jinjun

doi:10.1016/j.apenergy.2018.08.060

Cited by 21 publications

(8 citation statements)

References 17 publications

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“…Recently, PVWP technology has been proposed to fulfill the domestic water requirements of five isolated houses located in a remote Moroccan area [9]. An analysis of the prevailing conditions for irrigating cassava based on PV solar technology is described in [10], where solar energy resource availability is also studied. However, PVWP solutions have rarely been implemented, and they are considered as electric energy sources only in remote locations [11,12], as a part of hybrid solutions -i.e.…”

Section: Introductionmentioning

confidence: 99%

MCDM-based multidimensional approach for selection of optimal groundwater pumping systems: Design and case example

et al. 2021

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Herein, optimal groundwater pumping solutions based on a variety of energy resources and water storage options are estimated and classified. Each energy source and water storage option is first characterized considering energy, economic, and environmental criteria. A multi-criteria decision making (MCDM) process based on the analytic hierarchy process (AHP) and the technique for order performance by similarity to ideal solution (TOPSIS) is subsequently applied to identify and classify the optimal groundwater pumping solutions under such a multidimensional framework. An aquifer located in the southeast of Spain is analyzed in a case study to assess the proposed optimal MCDM-based approach. Conventional diesel-based equipment, solar PV power plants, and direct grid connection, as well as three water storage systems-direct pumping, seasonal storage, and annual storage-are identified as potential energy sources and water storage options, respectively. Characterization and visualization of these energy and water storage systems, as well as prioritized option results, are also discussed herein.

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Section: Introductionmentioning

confidence: 99%

MCDM-based multidimensional approach for selection of optimal groundwater pumping systems: Design and case example

et al. 2021

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“…17 Besides, a research study investigated the practicality of using solar power-based irrigation systems for the agricultural sector. 18 In 2019, a prominent research study suggested the deregulation in the agricultural industry to facilitate the integration of renewable energies to electricity markets. 19 The study stated that farmers not only can provide a great deal of flexibility to the grid but also can monetize their energy generation.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Inequality (17) limits the power generation of DGs to lower and upper thresholds. Finally, the constraints (18) and (19) show the ramp-up and ramp-down rates of the DG units, respectively.…”

Section: Thermal Generation Unitsmentioning

confidence: 99%

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Operational scheduling of responsive prosumer farms for day‐ahead peak shaving by agricultural demand response aggregators

Golmohamadi

2020

Int J Energy Res

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This paper proposes a novel structure to optimize the operational strategies of responsive farms for day-ahead peak shaving. To achieve the aim, the modern irrigation system of farms, including groundwater, surface water, and booster water pumps, are modeled mathematically. To develop the demand response (DR) potentials of the farms, electrical storage systems, and self-generation facilities, including thermal distributed generations and on-farm solar sites, are addressed. In order to facilitate the integration of the agricultural DR programs into the electricity market, a mathematical formulation for agricultural demand response aggregator (ADRA) is suggested. The ADRA participates in the dayahead electricity market on behalf of the responsive farms. To overcome the price uncertainty of the electricity market, a robust optimization approach is addressed. This approach determines the robust decisions of farms in the worstcase realizations of the uncertain electricity price. Regarding on-farm solar sites located in rural areas, a data-driven approach is used to estimate the solar power generation of a significant number of sites without needing to install costly communication and measurement infrastructures. Finally, the proposed approach is implemented on agricultural lands in the northeast of Iran. The numerical results show that the suggested approach provides day-ahead peak shaving for the power systems meeting the crop's water requirements.

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“…Crops such as orchards, vegetables and organic crops need appropriate nutrients and uniformity in their irrigation, and this irrigation system allows for greater collection and rational use of water, avoiding harvest losses due to water stress. Thus, with the optimization of photovoltaic energy, all kinds of competitive crops can be made viable in the consumer Market (Alvarenga et al, 2014;Chandel et al, 2015;Vick & Neal, 2012;Valer et al, 2016;Yu et al, 2018). Solar power to pump water is a viable option when compared to pumping based on electricity and diesel (Li et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Comparative study of drip irrigation systems using indoor amorphous photovoltaic panels

Silveira

Siqueira

Nascimento

et al. 2021

RSD

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Solar energy is a clean and renewable energy production option and can be applied to pumping water. Pumping water with photovoltaic solar energy is one of the technologies that has stood out in the country. In this context, the work aimed to evaluate the different methods of a drip irrigation system as a function of the use of an indoor amorphous photovoltaic pumping system, without electrical energy storage. The study was installed at the State University of Western Paraná. Voltage and current data were generated by the photovoltaic panels; solar irradiation was measured by the pyranometer device; the water pump flow rate was determined using the flow meter and in-line drip tube types. Irrigation performance was determined by the water distribution uniformity coefficients (CUD) and Christiansen’s uniformity coefficient (CUC). Tests were performed on open and partially cloudy days. The experiment totaled 40 sampled data, half being collected on sunny days and the other half on partially cloudy days, at 9:45 am; 11:00 am; 1:30 pm and 3:00 pm. The methodology had the greatest influence on the CUD value. For the CUC parameter, the values were approximately 89% for the studied methods. Values remained under control for the Shewhart graph, but with the process capacity index affected.

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Practicality of using solar energy for cassava irrigation in the Guangxi Autonomous Region, China

Cited by 21 publications

References 17 publications

MCDM-based multidimensional approach for selection of optimal groundwater pumping systems: Design and case example

MCDM-based multidimensional approach for selection of optimal groundwater pumping systems: Design and case example

Operational scheduling of responsive prosumer farms for day‐ahead peak shaving by agricultural demand response aggregators

Comparative study of drip irrigation systems using indoor amorphous photovoltaic panels

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