Smart Model/Package for Home Based Solar Grid System Design

Armstrong, David (2019) Smart Model/Package for Home Based Solar Grid System Design. [USQ Project]

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This project aims, through modelling and programming, to determine and recommend an optimal and cost-effective solar home system (SHS) for a small, medium, medium/large and large household located in Australia. The project was initiated through a thorough literature review of available solar panels, batteries, controllers and inverters and the technology that supports them. Background research commenced with an analysis of suitable and available photovoltaic panels, batteries, controllers and inverters that could be used in the modelling and program development. Further to this location data and household usage data was collected and analysed for modelling purposes. For modelling the system Australia wide average load profiles for small, medium, medium/large and large households were constructed based on data from the Australian Bureau of Statistics, Australian Energy Market Commission and Energy Australia. These load profiles were used to determine the appropriate system size based on their usage.

From the results it was found that the all average house sizes can accommodate all the possible systems, the optimal Solar Home System for a Queensland, Victorian and Tasmanian was split between the 5 kW ‘median’ priced system and the 10 kW ‘cheaper’ system. The choice between then would come down to personal economic preference of shorter payback or higher return on investment. For New South Wales, Western Australia and the Northern Territory the ‘cheaper’ 10 kW system was the recommended system. South Australia was split between the ‘cheaper’ 10 kW system and the ‘cheaper’ 3 kW system, again economic preference would be the deciding factor. The Australian Capital Territory returned a recommendation of the ‘cheaper’ 10 kW system.

The final part of the research was to develop smart model/package to assist a consumer with guidance on purchasing a solar home system. For this user data is entered into an Excel based system and tested against the average load profiles modelled. The user also has the option to enter all their loads for the household which can result in a more accurate recommendation. The system then displays the results of a recommended performance and economically optimized system including photovoltaic cells, batteries, controller and inverter. Average price and optimal installation angle are also displayed.

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Item Type: USQ Project
Item Status: Live Archive
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 - 31 Dec 2021)
Supervisors: Wen, Paul
Qualification: Bachelor of Engineering (Honours) (Electrical and Electronic)
Date Deposited: 12 Aug 2021 00:49
Last Modified: 26 Jun 2023 05:42

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