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Techno-economic simulation modelling to forecast customer PV-battery economic incentives

Curtin University
Kelvin Say (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25917/5b3dc6bb7bb70&rft.title=Techno-economic simulation modelling to forecast customer PV-battery economic incentives&rft.identifier=10.25917/5b3dc6bb7bb70&rft.publisher=Curtin University&rft.description=The hourly insolation data was obtained from the PVWatts Calculator for the Perth metropolitan region. The customer demand data was obtained via sampling of the demand profiles from the first figure at https://www.solarchoice.net.au/blog/how-to-get-most-solar-pv-system-pt-2-electricity-usage-patterns . The R source code is used to perform of techno-economic forecast of the economics of customer PV and battery adoption. Output figures and summary files for each case study and scenario of the analysis. .R and .RDS files will require: R , version 3.4.4 R studio, version 1.1.422 &rft.creator=Kelvin Say&rft.date=2018&rft.coverage=Perth, Western Australia&rft_rights=Free for reuse under a MIT Licence https://opensource.org/licenses/MIT&rft_rights=MIT Licence https://opensource.org/licenses/MIT&rft_subject=photovoltaics&rft_subject=energy storage&rft_subject=feed-in tariff design&rft_subject=electricity prices&rft_subject=techno-economic simulation&rft_subject=distributed energy resources&rft_subject=Interdisciplinary Engineering not elsewhere classified&rft_subject=ENGINEERING&rft_subject=INTERDISCIPLINARY ENGINEERING&rft.type=dataset&rft.language=English Access the data
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The hourly insolation data was obtained from the PVWatts Calculator for the Perth metropolitan region. The customer demand data was obtained via sampling of the demand profiles from the first figure at https://www.solarchoice.net.au/blog/how-to-get-most-solar-pv-system-pt-2-electricity-usage-patterns . The R source code is used to perform of techno-economic forecast of the economics of customer PV and battery adoption. Output figures and summary files for each case study and scenario of the analysis. .R and .RDS files will require: R , version 3.4.4 R studio, version 1.1.422

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text: Perth, Western Australia

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Engineering | Interdisciplinary Engineering | Interdisciplinary Engineering Not Elsewhere Classified | distributed energy resources | electricity prices | energy storage | feed-in tariff design | photovoltaics | techno-economic simulation |

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