Feasibility Study of Hybrid Energy Systems at Remote Locations in Australia

Reliance on conventional fossil fuels to fulfil the energy demands in this era of industrial development is becoming a financial burden and a huge source of global warming. Almost 70% of Australia’s electricity generation from conventional energy resources, such as coal (57%) and gas (13%). Using traditional fuels at vast level causes considerable greenhouse gas emission. Because the integration of renewable energy production systems has potential to address the electrical demands of distant places, this research provides a feasibility study concentrating on integrating hybrid energy generation into Australia’s energy system. This research investigates the design and implementation of hybrid energy systems (HES) evolved to the specific needs of distant commercial markets in three remote regions across Australia: Norseman in Western Australia, Marla in Southern Australia, and Traralgon in Victoria. Hybrid Optimization of Multiple Energy Resources (HOMER) Pro software has adopted to model the HES comprising photovoltaic systems, wind turbines, diesel generators, and energy storage systems as primary and secondary backups for the selected locations. These results show surplus electricity production in all locations, with Marla having the best financial outcomes. Norseman and Marla have similar fuel consumption patterns and emissions; however, Traralgon has higher fuel consumption and emissions due to increased energy demand. The study outlines future research and recommendations, emphasizing cooperation and sustainability in improving renewable energy technologies.

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Published
2024-11-20
DOI
https://doi.org/10.1109/aupec62273.2024.10807623
Citations
1
Primary Topic
Hybrid Renewable Energy Systems
Type
article
Field-Weighted Citation Impact
0.17
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article

Feasibility Study of Hybrid Energy Systems at Remote Locations in Australia

M. A. Parvez Mahmud, Narottam Das, Sami Ullah
1 citations
Hybrid Renewable Energy Systems
0.17
article

Feasibility Study of Hybrid Energy Systems at Remote Locations in Australia

M. A. Parvez Mahmud, Narottam Das, Sami Ullah
article en
1 citations

Abstract

Reliance on conventional fossil fuels to fulfil the energy demands in this era of industrial development is becoming a financial burden and a huge source of global warming. Almost 70% of Australia’s electricity generation from conventional energy resources, such as coal (57%) and gas (13%). Using traditional fuels at vast level causes considerable greenhouse gas emission. Because the integration of renewable energy production systems has potential to address the electrical demands of distant places, this research provides a feasibility study concentrating on integrating hybrid energy generation into Australia’s energy system. This research investigates the design and implementation of hybrid energy systems (HES) evolved to the specific needs of distant commercial markets in three remote regions across Australia: Norseman in Western Australia, Marla in Southern Australia, and Traralgon in Victoria. Hybrid Optimization of Multiple Energy Resources (HOMER) Pro software has adopted to model the HES comprising photovoltaic systems, wind turbines, diesel generators, and energy storage systems as primary and secondary backups for the selected locations. These results show surplus electricity production in all locations, with Marla having the best financial outcomes. Norseman and Marla have similar fuel consumption patterns and emissions; however, Traralgon has higher fuel consumption and emissions due to increased energy demand. The study outlines future research and recommendations, emphasizing cooperation and sustainability in improving renewable energy technologies.

University of Technology Sydney (AU), Central Queensland University (AU)
Affordable and clean energy
Openalex Percentile: Top 41%
Hybrid Renewable Energy Systems
0.17
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Feasibility Study of Hybrid Energy Systems at Remote Locations in Australia — M. A. Parvez Mahmud, Narottam Das, et al. · (2024) | TGRS Research Map | TGRS