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Wind-solar energy integration including battery storage at Murdoch University

Singh, Yuvraj (2017) Wind-solar energy integration including battery storage at Murdoch University. Honours thesis, Murdoch University.

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Abstract

This report demonstrates the process involved to identify the most economic renewable energy generation system for Murdoch University (MU). The most economic renewable energy generation system that would help in reducing the annual electricity consumption off the grid for MU. The analysis involved PV System, Wind System, Wind-PV System and Wind-PV System including the battery storage system. The analysis commenced with the assessment of the availability of solar and wind resource at the MU. Western Australia gets a significant amount of solar irradiance throughout the year and it was available to download from the website of Bureau of Meteorology. The wind speed data were obtained from the weather station located Murdoch University, which helped to determine the strength and intensity of wind speed. For the purpose of the analysis, solar irradiance data and wind speed data for the year 2015 was used for the specific reason, explained further in the report. Murdoch University electricity consumption in the year 2015 was 22.29 GWh with the maximum load of 5.78 MW. Mr Andrew Hanning, Energy Manager at MU helped to obtain the load consumption data of MU. Then analysis followed by the identification of the energy production potential of solar and wind using the photovoltaics and wind turbines. Microsoft Excel and Homer, a computer software model helped to calculate the energy production of photovoltaics and wind turbines. A 2.0 MW PV system was used for the analysis, as the study conducted by the previous student concluded it to be the maximum size that could be installed on the rooftop of MU. Wind system included two Enercon E-53 wind turbines each with 800kW rated capacity. The selection of the wind turbine for the purpose of the analysis was based on its maximum power output corresponding to the wind speed at MU. Enercon E-53 was tallest among other wind turbines analyzed to identify to the most suitable wind turbine for the proposed location at MU. Further, the analysis included the assessment of reduction in the electricity consumption from the grid, of the MU for the year 2015, by integrating different renewable energy generation system in the distributed network of MU. From different combinations of renewable energy systems used for the analysis, the combination of Wind-PV system produced the significant amount of reduction in the annual energy consumption from the grid. The annual electricity consumption of MU reduced from 22.29 GWh to 13.31 GWh. Analysis also included the assessment of reduction in the capacity and network demand charges affected by the decline in the annual electricity consumption of MU from the grid. The Wind-PV system produced annual savings of $743,144 on the cost of electricity consumed from the grid by MU and annual savings of $555,242 on the network demand and capacity charges.

Publication Type: Thesis (Honours)
Murdoch Affiliation: School of Engineering and Information Technology
Supervisor: Arefi, Ali and Carter, Craig
URI: http://researchrepository.murdoch.edu.au/id/eprint/40479
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