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Automated logistic processing and do...
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Askey, Jeff Clark.
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Automated logistic processing and downtime analysis of commercial level multi-pass corn stover harvesting systems.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Automated logistic processing and downtime analysis of commercial level multi-pass corn stover harvesting systems./
作者:
Askey, Jeff Clark.
面頁冊數:
77 p.
附註:
Source: Masters Abstracts International, Volume: 53-03.
Contained By:
Masters Abstracts International53-03(E).
標題:
Agricultural engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1560250
ISBN:
9781321025293
Automated logistic processing and downtime analysis of commercial level multi-pass corn stover harvesting systems.
Askey, Jeff Clark.
Automated logistic processing and downtime analysis of commercial level multi-pass corn stover harvesting systems.
- 77 p.
Source: Masters Abstracts International, Volume: 53-03.
Thesis (M.S.)--Iowa State University, 2014.
As cellulosic ethanol production reaches commercial scale, it is important to maximize efficiencies throughout the supply chain in order to keep an economically feasible feedstock. One important sub-process is the harvesting of feedstock that will be converted into ethanol. The cost to harvest and transport corn stover is a large component of the total cost and is estimated at $82/std. ton; however, this can be reduced to $47/std. ton with improvements to the supply chain (Shah, 2013).
ISBN: 9781321025293Subjects--Topical Terms:
3168406
Agricultural engineering.
Automated logistic processing and downtime analysis of commercial level multi-pass corn stover harvesting systems.
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As cellulosic ethanol production reaches commercial scale, it is important to maximize efficiencies throughout the supply chain in order to keep an economically feasible feedstock. One important sub-process is the harvesting of feedstock that will be converted into ethanol. The cost to harvest and transport corn stover is a large component of the total cost and is estimated at $82/std. ton; however, this can be reduced to $47/std. ton with improvements to the supply chain (Shah, 2013).
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For a large scale facility, capable of producing 30 million gallons of ethanol, 375,000 tons of dry material per year will be required to keep the facility running at full capacity; this material will need to be harvested from approximately 190,000 acres, based on a two ton per acre take-rate. The main harvest method is a multi-pass system that requires several agriculture machines working in synchronization to produce a dense and transportable material. Over 200 tractors coupled to shredders, balers and stackers are required in order to achieve the full harvest within 30 day window.
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The objective of this research was to automate the analysis of Geographical Information Systems (GIS) data in order to provide more adequate real time performance of crews and machines that will drive key supply chain assessments. Results of this work analyzed production scale harvest data during the fall of 2012 and 2013; during 2012 6,000 hectares were harvested while 24,300 hectares were harvested in 2013. The results of this research will benefit cellulosic harvesters, processors and analyzers by providing informative supply chain logistics.
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