Methodology for Correlating OECD and DLG PowerMix Test Data to Calculate and Analyze Area-related Fuel Consumption of Agricultural Tractors and Incorporate Life Cycle Assessment

Author(s):  
Manickarajan Sendhilkumar ◽  
Juzer Faiyazi ◽  
Fabienne Seibold ◽  
Hristo Apostolov
2013 ◽  
Vol 9 (1) ◽  
pp. 20-36 ◽  
Author(s):  
Yutaro WATANABE ◽  
Yoshio SATO ◽  
Daisuke KAWANO ◽  
Kenji KOIDO ◽  
Kiyoshi DOWAKI

Author(s):  
Minjung Kwak ◽  
Louis Kim ◽  
Obaid Sarvana ◽  
Harrison M. Kim ◽  
Peter Finamore ◽  
...  

This paper presents a comprehensive life cycle assessment (LCA) study of heavy duty off-road equipment. The machine studied here is a typical piece of diesel construction machinery equipped with the iT4 (interim Tier 4) certified diesel engine. Two life cycle impact assessment methods, Eco-Indicator 99 and IPCC 2007, are used to calculate the environmental impact and global warming potential associated with the machine’s life cycle, from material extraction to end-of-life recycling and disposal. Due to fuel consumption and emissions, machine utilization during the usage phase is expected to account for most of the total environmental impact. However, the impact from usage can vary greatly, depending on how customers use the machine. To take into account various machine usage patterns, this LCA study performs two sensitivity analyses, varying the load factor and varying the fuel consumption rate, respectively.


Author(s):  
Duc Tuan Dong ◽  
Wei Cai

Life-cycle assessment has been widely applied in many industry sectors for years and there are some applications of this method in the shipping sector. Fuel consumption and material consumption are considered as crucial factors in the life cycle of ship. This study uses the life-cycle assessment method to show the effects of fuel consumption reduction and light displacement tonnage on the environmental performance of ships. This is done by comparing the environmental impacts of 25 investigated scenarios with different fuel consumption and light displacement tonnage. CML2001 methodology is used to evaluate the impact assessment and the results are calculated using GaBi software. The results show that fuel consumption reduction could cut down the environmental impacts. However, some scenarios are not environmentally beneficial due to the increase in light displacement tonnage. The effects of fuel consumption and light displacement tonnage on 12 CML2001 environmental indicators are different. It is recommended that the life-cycle assessment method should be used to fully assess the environmental impacts of ships before applying any techniques in order to achieve the environmental benefits.


2019 ◽  
Vol 35 (4) ◽  
pp. 503-507
Author(s):  
Joel E Tallaksen ◽  
Curtis Reese ◽  
Michael H Reese

Abstract. A significant effort is currently underway to reduce farming inputs and their associated environmental impacts. These efforts use data-driven research techniques, such as life cycle assessment, which rely on up-to-date and situationally specific information. In cropping systems, tractor fuel use data is an important component for evaluating sustainability. The currently available tractor fuel consumption data may not be particularly accurate for sustainability analysis of cropping activities as it relies on engineering estimates or is more than 30 years old. As part of an on-farm energy use and sustainability project, tractor fuel consumption was monitored for four years on a western Minnesota research farm during the cultivation and harvest of corn, soybeans, oats, and alfalfa. We were interested in how our findings compared with published studies and the magnitude and reasons for potential differences. The results indicate that there was considerable variation in fuel use for the same field operations during the four years of observation at the site studied. The average fuel use in this study also showed some variation with published data. The variation was likely due to previously noted impacts of different soil types, equipment deployed, and tractor operations on fuel consumption. Accurate sustainability metrics are increasingly important as they are beginning to be used for developing regulations and policy for agriculture and agricultural products. The findings suggest that in order to ensure accuracy when analyzing cropping sustainability, fuel use data should be representative of the specific farming systems, equipment, and methods being examined. Keywords: Agricultural sustainability, Agronomy, Cropping systems, Life cycle assessment, Midwestern United States, Tractor fuel.


2020 ◽  
Vol 76 (3) ◽  
pp. 137-153
Author(s):  
Harnpon Phungrassami ◽  
Phairat Usubharatana

Environmental impacts of fishery production have resulted in increased concern and awareness. Thailand, as one of the largest global fish exporters, faces challenges related to environmental problems caused by fishery processes. Here, the environmental impact of Thai surimi production was estimated based on life cycle assessment (LCA) methodology, focusing specifically on two Thai surimi products made from goatfish and ponyfish caught within the southern region of Thailand. Three impact categories where explored: global warming, acidification and eutrophication. Life cycle impacts were calculated for one kg of product using both mass and economic allocations. Results of this study indicated that goatfish has lower impacts than ponyfish for all the impact categories. Fuel consumption during the fishery phase and electricity consumption during processing were the main parameters leading to most of the considered environmental impacts. The value of Global Warming  Potential(GWP) ranged within 1.3‒3.0 kg CO2eq for goatfish and 2.2‒7.1 kg CO2eq ponyfish depending on the allocation method. The acidification impact of goatfish and ponyfish were revealed at 3.2‒7.3 gSO2eq and 12.7‒39.7 gSO2eq, respectively. The eutrophication of goatfish and ponyfish were 0.7‒1.6 gPO4eq and 2.5‒8.1 gPO4eq, respectively. Sensitivity analysis of fuel consumption, electricity consumption, product yield and allocation method were evaluated.


2015 ◽  
Vol 49 (16) ◽  
pp. 10209-10216 ◽  
Author(s):  
Hyung Chul Kim ◽  
Timothy J. Wallington ◽  
John L. Sullivan ◽  
Gregory A. Keoleian

2021 ◽  
pp. 703-710
Author(s):  
Rami Chkaiban ◽  
Elie Y. Hajj ◽  
Gary Bailey ◽  
Muluneh Sime ◽  
Hao Xu ◽  
...  

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