Application of photovoltaic system to modify energy use, environmental damages and cumulative exergy demand of two irrigation systems-A case study: Barley production of Iran

Mobtaker, Hassan Ghasemi; Mostashari-Rad, Fatemeh; Saber, Zahra; Chau, Kwok Wing; Nabavi‐Pelesaraei, Ashkan

doi:10.1016/j.renene.2020.07.047

Cited by 137 publications

(24 citation statements)

References 66 publications

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“…This method supports enhanced environmental management and is an integral tool for evaluating environmental burdens of many agricultural products’ supply chains [2] . It can also be used to compare environmental effects of different options and to determine the optimal option [4] . In fact, LCA is a cradle-to-grave approach to crop management, which begins with the initial collection of raw materials from the earth and continues to the point where the residuals returns to the earth [5] .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

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Data supporting midpoint-weighting life cycle assessment and energy forms of cumulative exergy demand for horticultural crops

Mostashari-Rad

Mobtaker

Taki³

et al. 2020

Data in Brief

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With an increasing demand of horticultural crops, it is critical to examine environmental damages and exergy impacts and evaluate their potential in producing sustainable products of agricultural systems. As such, environmental midpoints of five dominated horticultural products, namely, hazelnut, watermelon, tea, kiwifruit, and citrus, are scrutinized using life cycle assessment approach in Guilan province, Iran. Each crop is considered under a separate scenario and 10 tons of yield is determined as the functional unit. ReCiPe2016, as a new approach, is used for computation of 17 midpoints. Moreover, a weighting analysis is undertaken to find the share of each input in environmental damages with dimensionless notation. In the second part of this paper, cumulative exergy demand (CExD) is applied for evaluation of energy forms in each scenario. Data are presented under two sectors in the main article. The first part is midpoint results of each crop and the second part depicts energy forms of CExD with input rate in each category. Besides, the supplementary files contain raw material of each input, midpoint physical rate, share of each input to contribute midpoint, raw data of weighted damages and share of each input in total weighted damages.

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Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

“…The adoption of environmental categories depends on the applied LCIA tool. In this study, ReCiPe2016, as an up-to-date approach in damages assessment [4] , is considered for LCIA and the analysis is computed by SimaPro V.9.0.0.…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Data supporting midpoint-weighting life cycle assessment and energy forms of cumulative exergy demand for horticultural crops

Mostashari-Rad

Mobtaker

Taki³

et al. 2020

Data in Brief

Self Cite

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“…These indices showed in Eqs. (3)-(5) (Salehi et al 2014;Ghasemi-Mobtaker et al 2020b) Net return ($ ha -1 )=…”

Section: Energy Input-output and Economic Performancementioning

confidence: 99%

Joint of Modeling Techniques and Life Cycle Assessment for Prediction of Yield, Economic Profit, and Global Warming Potential for Wheat Farms

Mobtaker

Kaab

Rafiee

2021

Preprint

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Forecasting crop yield and its environmental effects can help increase agricultural energy efficiency and reduce environmental impacts. This study provides mathematical, adaptive network-based fuzzy inference system (ANFIS) and neural networks (ANNs) techniques for forecast yield, economic profit, and global warming of wheat production. For this purpose, 75 wheat farms located in the central area of Hamadan province were selected randomly and data were gathered through oral interview. Then, computed the input and output energy, life cycle assessment (LCA) was utilized to specify the environmental effects of wheat cultivation. The calculations displayed that the averages of inputs and outputs energy were about 43055 MJ ha−1 and 117407 MJ ha−1, respectively. The LCA results demonstrated that wheat cultivation cause to the emissions of 624.29 kg CO2 eq. ton−1. ANN structures for predicting yield, economic profit and global warming in wheat production with two hidden layers were the best topologies. ANFIS model results indicated that in the 3-level ANFIS model, the highest R2 is found for net return (0.962). The results comparison showed that ANN and ANFIS models outperform linear models to predict yield, economic profit, and global warming of wheat production.

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“…Several advanced applications have been introduced based on PV electricity, such as feeding the required power for satellite communication [8], greenhouse cooling and heating [9], water pumping for agriculture [10][11][12], supplying electronic devices and indoor lighting [13,14], etc. The PV characteristics can be analyzed with power-voltage (P-V) and current-voltage (I-V) curves.…”

Section: Introductionmentioning

confidence: 99%

Estimating Parameters of Photovoltaic Models Using Accurate Turbulent Flow of Water Optimizer

et al. 2021

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Recently, the use of diverse renewable energy resources has been intensively expanding due to their technical and environmental benefits. One of the important issues in the modeling and simulation of renewable energy resources is the extraction of the unknown parameters in photovoltaic models. In this regard, the parameters of three models of photovoltaic (PV) cells are extracted in this paper with a new optimization method called turbulent flow of water-based optimization (TFWO). The applications of the proposed TFWO algorithm for extracting the optimal values of the parameters for various PV models are implemented on the real data of a 55 mm diameter commercial R.T.C. France solar cell and experimental data of a KC200GT module. Further, an assessment study is employed to show the capability of the proposed TFWO algorithm compared with several recent optimization techniques such as the marine predators algorithm (MPA), equilibrium optimization (EO), and manta ray foraging optimization (MRFO). For a fair performance evaluation, the comparative study is carried out with the same dataset and the same computation burden for the different optimization algorithms. Statistical analysis is also used to analyze the performance of the proposed TFWO against the other optimization algorithms. The findings show a high closeness between the estimated power–voltage (P–V) and current–voltage (I–V) curves achieved by the proposed TFWO compared with the experimental data as well as the competitive optimization algorithms, thanks to the effectiveness of the developed TFWO solution mechanism.

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Application of photovoltaic system to modify energy use, environmental damages and cumulative exergy demand of two irrigation systems-A case study: Barley production of Iran

Cited by 137 publications

References 66 publications

Data supporting midpoint-weighting life cycle assessment and energy forms of cumulative exergy demand for horticultural crops

Data supporting midpoint-weighting life cycle assessment and energy forms of cumulative exergy demand for horticultural crops

Joint of Modeling Techniques and Life Cycle Assessment for Prediction of Yield, Economic Profit, and Global Warming Potential for Wheat Farms

Estimating Parameters of Photovoltaic Models Using Accurate Turbulent Flow of Water Optimizer

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