Farm-wide Microgrid Decision Support System for the Australian Cotton Industry

Lin, Yunfeng

Farm-wide Microgrid Decision Support System for the Australian Cotton Industry

Lin, Yunfeng

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Publication Type:: Thesis
Issue Date:: 2023

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Field	Value	Language
dc.contributor.author	Lin, Yunfeng
dc.date.accessioned	2023-10-03T04:09:42Z
dc.date.available	2023-10-03T04:09:42Z
dc.date.issued	2023
dc.identifier.uri	http://hdl.handle.net/10453/172438
dc.description	University of Technology Sydney. Faculty of Engineering and Information Technology.	en_US.UTF-8
dc.description.abstract	According to Cotton Australia, energy costs in the cotton industry have increased by 350% from 2000 to 2014. Energy (electricity and diesel) costs for Australian cotton growers are expected to continue to increase by 2.9–7.2% annually until 2040. Diesel fuel provides at least 90% of the direct energy harnessed in farms. On average, irrigation accounts for 50–75% of the total direct energy consumption on-farm. An increasing number of alternative irrigation systems, for example, centre pivots and lateral move systems, in the future are expected to lead to highly significant energy costs associated with water pumping and machine operation. On the other hand, the costs of renewable energy continue to decrease, providing cotton growers with another option for energy supply. Renewable energy can be used to design the corresponding microgrids to irrigate cotton farms. The designed renewable microgrids can reduce these cotton farms’ energy consumption costs and greenhouse gas emissions. This study aims to develop tailor-made renewable power planning and energy management plans for cotton-farm microgrids to secure power supply and reduce energy costs. In addition, we seek to optimize the microgrid’s operation considering the uncertainty of environmental and demand factors on cotton farms to achieve cost savings for cotton stakeholders.	en_US.UTF-8
dc.format	Thesis (PhD)
dc.language.iso	en_US	en_US.UTF-8
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/172438/1/thesis.pdf
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	© 2023 Yunfeng Lin
dc.rights	au.edu.uts.lib/cph
dc.title	Farm-wide Microgrid Decision Support System for the Australian Cotton Industry	en_US.UTF-8
dc.type	Thesis
utslib.copyright.status	open_access	*

Abstract:

According to Cotton Australia, energy costs in the cotton industry have increased by 350% from 2000 to 2014. Energy (electricity and diesel) costs for Australian cotton growers are expected to continue to increase by 2.9–7.2% annually until 2040. Diesel fuel provides at least 90% of the direct energy harnessed in farms. On average, irrigation accounts for 50–75% of the total direct energy consumption on-farm. An increasing number of alternative irrigation systems, for example, centre pivots and lateral move systems, in the future are expected to lead to highly significant energy costs associated with water pumping and machine operation. On the other hand, the costs of renewable energy continue to decrease, providing cotton growers with another option for energy supply. Renewable energy can be used to design the corresponding microgrids to irrigate cotton farms. The designed renewable microgrids can reduce these cotton farms’ energy consumption costs and greenhouse gas emissions. This study aims to develop tailor-made renewable power planning and energy management plans for cotton-farm microgrids to secure power supply and reduce energy costs. In addition, we seek to optimize the microgrid’s operation considering the uncertainty of environmental and demand factors on cotton farms to achieve cost savings for cotton stakeholders.

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http://hdl.handle.net/10453/172438