Comparative Farm-Gate Life Cycle Assessment of Oilseed Feedstocks in the Northern Great Plains

Moeller, Devin; Sieverding, Heidi L.; Stone, Jeff

doi:10.1007/s41247-017-0030-3

Cited by 21 publications

(15 citation statements)

References 53 publications

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“…[31]. A CED of 15.3 GJ/ha was reported for canola cultivated in the USA, with nitrogen input of 77.3 kg N/t seeds [32]. The energy demand of 5.3 GJ per t of rapeseeds was reported for Chilean conditions [33].…”

Section: Ced Methodsmentioning

confidence: 99%

Environmental Life Cycle Assessment of Rapeseed and Rapeseed Oil Produced in Northern Europe: A Latvian Case Study

2020

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There is a major international effort to improve the availability of data for life cycle assessment (LCA), as these assessments have become one of the main pillars driving European policy with respect to the sustainable use of resources. However, there is still a lack of data even for Europe. This study presents a cradle-to-farm gate assessment, or LCA, of winter and spring rapeseed produced in the northern European country of Latvia. The LCA model is based on an in-depth and up-to-date agricultural practice used in the region and covers the time span of 2008–2016. An LCA of rapeseed oil produced by cold pressing was carried out. The environmental impact assessment was calculated with the ReCiPe impact assessment method version 1.03, a hierarchical (H) perspective, along with the cumulative energy demand method v1.11. Cultivation of winter rapeseed has a lower environmental impact than cultivation of spring rapeseed due to higher agricultural inputs and higher yield. The greatest impact is on human health. Mineral fertilizers (production and application) and agricultural machinery are responsible for the greatest environmental impact. The results for the mill stage of rapeseed oil demonstrated that the choice of the allocation method has a significant impact on the environmental performance results.

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Section: Ced Methodsmentioning

confidence: 99%

Environmental Life Cycle Assessment of Rapeseed and Rapeseed Oil Produced in Northern Europe: A Latvian Case Study

2020

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“…Nemecek et al (2011) conducted a study to assess the LCA of farming systems in Switzerland and revealed that N2O and CO2 emitted from fertilizers and fossil fuels had the greatest impacts on GWP, respectively. In similar surveys on the LCA of soybean production in different parts of the world such as Northern Great Plains, USA (Moeller et al 2017), U.S. Midwest (Romeiko et al 2020b), Southern Brazil (Zortea et al 2018, Mato Grosso State, Brazil (Raucci et al 2015), and Jilin Province, China (Knudsen et al 2010) the amounts of CO2-eq emitted were reported 602 g kg -1 , -11.4 to 22 kg kg -1 , 0.734 kg kg -1 , 0.186 kg kg -1 , and 263 kg ton -1 , respectively. Although the GHG emission in different agro-ecosystems varies depending on climatic and soil conditions, the type of management practices also has a significant effect on the amount of these emissions and their environmental impacts.…”

Section: Climate Changementioning

confidence: 99%

Predicting of Agro-environmental Footprint with Artificial Intelligence (Soybean cultivation in various scenarios)

Kashka

Sarvestani

Pirdashti

et al. 2022

Preprint

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This study employed two artificial intelligence (AI) methods called the ANFIS–FCM algorithm as a novel computational method and an artificial neural network (ANN) as a conventional computational method in order to predict the environmental impacts of soybean production in different scenarios (i.e., soybean cultivation after rapeseed (R-S), wheat (W-S), and fallow (F-S)). The 175 data of life cycle assessment (LCA) method were collected from soybean farms. The two methods called the adaptive neuro-fuzzy inference based on fuzzy C-means clustering algorithm (FCM) and the artificial neural network (ANN) were adopted to predict environmental parameters. For this purpose, the life cycle of soybean production was assessed in terms of environmental impacts through the IMPACT2002+ method in SimaPro. According to the results, the production of each ton of soybean in the defined scenarios resulted in 0.0009 to 0.0016 DALY, 5476.18 to 8799.80 MJ primary, 1033.68 to 1840.70 PDF×m2×yr, and 563.55 to 880.61 kg CO2-eq damage to human health, resources, ecosystem quality, and climate change, respectively. Moreover, the weighted analysis indicated that various soybean production scenarios led to 293.87–503.73 mPt damage to the environment in which the R-S scenario had the best environmental performance. Notably, the emissions caused by the production and application of the diesel fuel followed by chemical fertilizers, particularly N and P fertilizers, were recognized as the most important environmental hotspots in soybean production. According to the results, the ANFIS–FCM algorithm acted as the best prediction model of environmental indicators for soybean cultivation in all cases related to the ANN. The RMSE and MAPE values obtained from ANFIS–FCM were lower than the values obtained from the ANN model for all environmental indicators. For the ANFIS–FCM and ANN algorithms, R2 ranged between 0.9967 to 0.9989 and 0.9269 to 0.9870, respectively. It can be concluded that the proposed ANFIS–FCM model is an efficient technique for obtaining accurate environmental prediction parameters of soybean cultivation.

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“…Farming energy and fertilizer application rates were collected from Moeller et al (2017) and Sieverding et al (2016) that reflect carinata farming in northern United States and Canada. For oil extraction, we assume organic solvent (n-hexane) is used, and chemical and energy use are estimated based on Rispoli (2014).…”

Section: Carinata Hydroprocessed Esters and Fatty Acids (Hefa) Jet Fuel Productionmentioning

confidence: 99%

Summary of Expansions and Updates in GREET<sup>®</sup> 2021

Wang¹,

Elgowainy²,

Lee³

et al. 2021

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Comparative Farm-Gate Life Cycle Assessment of Oilseed Feedstocks in the Northern Great Plains

Abstract: to perform well in southeastern South Dakota, canola performed well in northeastern North Dakota, and camelina and carinata remained strong alternatives comparatively across the region.

Cited by 21 publications

References 53 publications

Environmental Life Cycle Assessment of Rapeseed and Rapeseed Oil Produced in Northern Europe: A Latvian Case Study

Environmental Life Cycle Assessment of Rapeseed and Rapeseed Oil Produced in Northern Europe: A Latvian Case Study

Predicting of Agro-environmental Footprint with Artificial Intelligence (Soybean cultivation in various scenarios)

Summary of Expansions and Updates in GREET<sup>®</sup> 2021

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