Dataset Information

PV generation and load profile data of net zero energy homes in South Australia.

ABSTRACT: This paper presents the hourly Photovoltaic (PV) generation and residential load profiles of a typical South Australian Net Zero Energy (NZE) home. These data are used in the research article entitled "Energy Cost Minimization for Net Zero Energy Homes through Optimal Sizing of Battery Storage System" Sharma et al., 2019. The PV generation data is derived using the publicly accessible renewable ninja web platform by feeding information such as the region of interest, PV system capacity, losses and tilt angle. The raw load profile data is sourced from the Australian Energy Market Operator (AEMO) website, which is further processed and filtered to match the household load requirement. The processing of data has been carried out using Microsoft Excel and MATLAB software. The experimental method used to obtain the required data from the downloaded raw dataset is described in this paper. While the data is generated for the state of South Australia (SA), the method described here can be used to produce datasets for any other Australian state.

SUBMITTER: Sharma V

PROVIDER: S-EPMC6700402 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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PV generation and load profile data of net zero energy homes in South Australia.

Sharma Vanika V Haque Mohammed H MH Aziz Syed Mahfuzul SM

Data in brief 20190708

This paper presents the hourly Photovoltaic (PV) generation and residential load profiles of a typical South Australian Net Zero Energy (NZE) home. These data are used in the research article entitled "Energy Cost Minimization for Net Zero Energy Homes through Optimal Sizing of Battery Storage System" Sharma et al., 2019. The PV generation data is derived using the publicly accessible renewable ninja web platform by feeding information such as the region of interest, PV system capacity, losses a ...[more]

PMID: 31453281

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Project description:Introduction:Originally piloted as a multi-departmental project within the Government of South Australia, SA NT DataLink is now the key provider of data linkage services in South Australia, the Northern Territory of Australia and the Commonwealth of Australia, enabling academics and policy makers to undertake research, policy, planning and evaluation. Approach:Uniquely governed by a broad range of consortium partners, SA NT DataLink's business model operates with flexibility to adapt to researcher priorities and government requirements. Its Data Linkage Unit routinely links data from over 50 sources with more than 57 million records on approximately 2.9 million individuals. It arguably provides the broadest range of linked data sources in Australia, focusing on administrative datasets and clinical registries from various health and human services domains. Operating in strict adherence with the separation principal, SA NT DataLink's Data Integration Unit separately manages anonymised clinical and service use data in collaboration with the respective data custodians through the Custodian Controlled Data Repository, allowing approved analysts to efficiently access high quality linked anonymised data. To protect individual privacy throughout the process of data linkage and data provision, SA NT DataLink's processes align with state, territory and federal privacy legislations. Operating consistently with National Health and Medical Research Council guidelines, linkage projects are subject to approvals by the relevant data custodians and approved Human Research Ethics Committees. Noteworthy Outputs:SA NT DataLink has provided linkage services to over 160 data linkage projects, informing nationally significant research and policy initiatives, including initiatives to improve indigenous children's hearing and child development. Conclusion:To respond to a changing data linkage landscape, SA NT DataLink is continuously reviewing and improving its systems, linkage processes and governance, addressing administrative, funding, data access, social licence and data linkage challenges and opportunities to meet increasing demand and new business developments.

Dataset Information

PV generation and load profile data of net zero energy homes in South Australia.

Publications

PV generation and load profile data of net zero energy homes in South Australia.

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