Determining efficiency of energy input for silage corn production: An econometric approach

Houshyar, Ehsan; Zareifard, Hamid; Grundmann, Philipp; Smith, Pete

doi:10.1016/j.energy.2015.09.105

Cited by 19 publications

(6 citation statements)

References 40 publications

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“…In Ukraine, it was determined that the use of macro and micronutrition when growing corn for silage to obtain biogas is economically and energetically appropriate. At the same time, according to various data (Černý et al 2012 ; Houshyar et al 2015 ; Dilip and Bao-Luo 2016 ), the use of fertilizers in the cultivation of corn for silage as a forage crop is not always ineffective. Therefore, more research is needed to study new combinations of macro and micronutrients when growing corn for silage.…”

Section: Resultsmentioning

confidence: 99%

Influence of macronutrients and micronutrients on maize hybrids for biogas production

Grabovskyi

Kucheruk

Pavlichenko

et al. 2023

Environ Sci Pollut Res

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Important in the cultivation of corn for biogas production is the selection of appropriate hybrids, macro- and micronutrient dozing and the evaluation of energy and economic efficiency of their use. Therefore, this article presents the results of 3-year field research (2019–2021) on the yield of maize hybrids of different maturity groups grown for silage. The influence of the application of macronutrients and micronutrients on fresh and dry mass yield, chemical composition, methane yield, energy, and economic efficiency was analysed. It was established that depending on the maize hybrid, the application of macro- and micro-fertilizers increased the yield of the fresh mass of maize by 1.4–24.0% compared to options without their use. The evaluation of the theoretical yield of CH4 based on the content of fats, protein, cellulose, and hemicellulose is also presented in different samples of maize. The findings show that the application of macro-and micro-fertilizers is suitable from the energy and economic points of view — profitability begins to appear at the price of biomethane of 0.3–0.4 euros per 1 m3.

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Section: Resultsmentioning

confidence: 99%

Influence of macronutrients and micronutrients on maize hybrids for biogas production

Grabovskyi

Kucheruk

Pavlichenko

et al. 2023

Environ Sci Pollut Res

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“…This input was the largest contributor of the total energy consumption, comprising 58.55% (Figure ). Several researchers have reported that the energy consumption of chemical fertilizer was the highest energy consumer during Iranian crop production in general . Soheili‐Fard et al .…”

Section: Resultsmentioning

confidence: 99%

Integration of principal component analysis and artificial neural networks to more effectively predict agricultural energy flows

Nikkhah

Rohani

Rosentrater

et al. 2019

Env Prog and Sustain Energy

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There are some studies regarding the prediction of agricultural energy flows using artificial neural networks (ANNs). These models are quite sensitive to correlations amongst inputs, and, there are often strong correlations amongst energy inputs for agricultural systems. One potential method to remediate this problem is to use principal component analysis (PCA). Therefore, the purpose of this research was to predict energy flows for a specific agricultural system (Iranian tea production) via a novel methodology based on ANNs, and using principal components as model inputs, not raw data. PCA results showed that the first and second components could account for more than 99% of variation in the data, thus the dimensions of the data set could be decreased from six to two for the prediction of energy flows for Iranian tea production. Using these principal components as inputs, an ANN model with 2–15–1 structure was determined to be optimal for energy flow modeling of this system. To conclude, the results of this study highlighted that the use of PC as ANN inputs improved ANN model prediction through reducing its complexity and eliminating data colinearity. Many agricultural systems could benefit from using this methodology for energy modeling. © 2019 American Institute of Chemical Engineers Environ Prog, 38:e13130, 2019

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“…For example, Alavijeh and Yaghmaei, showed that energy recovered from biogas produced by wheat residue can provide energy input for 115.62 and 393.12 thousand hectares of irrigated and rain‐fed wheat production in Iran, respectively. Several studies have indicated that the greatest energy consumption and environmental impacts of the agricultural production in Iran was attributed to chemical fertilizers . So another way to mitigate the agricultural environmental impacts in Iran is to replace chemical fertilizer with organic fertilizers.…”

Section: Resultsmentioning

confidence: 99%

Life cycle assessment of the agricultural sector in Iran (2007–2014)

Nikkhah

2017

Env Prog and Sustain Energy

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Iran is among the ten countries which has the largest share of CO2 emission and also has the highest amount among the Middle East countries. However, the agricultural sector in Iran is one of the major emitters of some greenhouse gas emissions, such as nitrous oxide. Therefore, this work aimed to study the environmental impacts of agricultural production in Iran and determine the impact category with the highest potential for the environmental damage in this region for the period of 2007–2014. For this purpose, the three impact categories of global warming potential (GWP), acidification potential (AP) and terrestrial eutrophication potential (TEP) were selected to be evaluated through Life Cycle Assessment (LCA) methodology. The results showed that the characterization indices of GWP, AP, and TEP impact categories for agricultural sector in Iran were 20,405,789 tonnes CO2eq, 303,145 tonnes SO2eq and 640,340 tonnes NOxeq, respectively for the year of 2014. For the period in question, agriculture accounted for 4%, 12%, and 26% of the GWP, AP and TEP impact categories in Iran, respectively. Overall, the TEP impact category had the greatest negative effect on the environment in term of the agricultural sector in Iran. © 2017 American Institute of Chemical Engineers Environ Prog, 37: 1750–1757, 2018

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Determining efficiency of energy input for silage corn production: An econometric approach

Cited by 19 publications

References 40 publications

Influence of macronutrients and micronutrients on maize hybrids for biogas production

Influence of macronutrients and micronutrients on maize hybrids for biogas production

Integration of principal component analysis and artificial neural networks to more effectively predict agricultural energy flows

Life cycle assessment of the agricultural sector in Iran (2007–2014)

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