{"help": "https://data.gov.au/data/api/3/action/help_show?name=package_show", "success": true, "result": {"archived": false, "author": "", "author_email": null, "contact_point": "unknown", "creator_user_id": "c2fbbe4a-4ba0-4945-808b-67454605a4cf", "duplicate_score": 2, "geospatial_topic": [], "id": "bc2e3f47-a532-4af4-9001-a86d94d17636", "isopen": false, "license_id": "CC-BY-4.0", "license_title": "CC-BY-4.0", "maintainer": "", "maintainer_email": "", "metadata_created": "2025-11-15T11:59:31.554276", "metadata_modified": "2026-01-10T07:40:14.439380", "name": "solar_irradiance_footprint_daily_average", "notes": "This dataset provides daily average solar irradiance values for approximately 16,000 building footprints across Kalgoorlie-Boulder, Western Australia. It delivers rooftop-level estimates of solar radiation potential averaged by month, enabling rapid assessment of photovoltaic feasibility at the individual building scale.\n\nThe dataset was created to support distributed energy planning by combining Microsoft Bing building footprints (2D) with climate data from CSIRO and http://climate.onebuilding.org , processed through the LBNL Radiance lighting simulation suite. Each footprint includes monthly, daily and hourly averages (W/m\u00b2) calculated from hourly irradiance simulations based on TMYx climate files (2004-2018).\n\nThis resource is particularly valuable for building owners and property managers conducting preliminary PV feasibility studies, local governments developing renewable energy strategies, and researchers analysing urban solar potential at building resolution. The daily and monthly average formats provide accessible metrics for comparing seasonal variation and estimating annual energy generation potential without requiring processing of hourly data.\n\nCoverage includes 530 mesh blocks spanning Kalgoorlie, Boulder, and Trafalgar. Values represent rooftop-plane irradiance assuming flat surfaces and do not account for roof tilt, orientation variations, or shading from trees or adjacent structures. For detailed hourly analysis or specific panel configurations, users should reference the complementary hourly datasets in this collection.\n\nComprehensive technical documentation, including data dictionary, usage examples, and processing methodology, is available in <a href=\"https://resources.aurin.org.au/ckan/resources/DataSet-Information.pdf\">here</a>; software stack details and calculation workflows are documented in <a href=\"https://resources.aurin.org.au/ckan/resources/Software_Stack.pdf\">here</a>.", "num_resources": 1, "num_tags": 5, "organization": {"id": "b0429d6f-82d8-4c5f-9325-37b64b9b1c48", "name": "school-of-electrical-engineering-computing-and-mathematical-sciences-curtin-university-australian-ur", "title": "School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University", "type": "organization", "description": "Our school brings together Curtin\u2019s core capabilities across electrical engineering, computing, physics and mathematics, to better understand and advance our data-driven world. We have built substantial knowledge in machine learning, cyber security, statistics and optimisation, digital transformation, radio astronomy, the Internet of Things, signal processing, embedded systems, renewable and power engineering. The school offers a range of undergraduate and postgraduate courses across these areas, which give students the skills they need to tackle the challenges of the future. The school attracts millions of dollars of research income each year, the majority of which is from industry, reflecting the focus of the school on demand driven research. The school is home to some of the largest institutes and centres at Curtin.", "image_url": "", "created": "2025-11-15T22:58:53.507896", "is_organization": true, "approval_status": "approved", "state": "active"}, "original_harvest_source": {"site_url": "https://data.aurin.org.au/", "href": "https://data.aurin.org.au/dataset/solar_irradiance_footprint_daily_average", "title": "Australian Urban Research Infrastructure Network"}, "original_name": "solar_irradiance_footprint_daily_average", "owner_org": "b0429d6f-82d8-4c5f-9325-37b64b9b1c48", "private": false, "promotion_level": "0", "remote_last_updated": "2025-12-23T05:43:59.314106", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[121.42359807500652, -30.803203268101967], [121.53928549242828, -30.803203268101967], [121.53928549242828, -30.71136853194179], [121.42359807500652, -30.71136853194179], [121.42359807500652, -30.803203268101967]]]}", "spatial_coverage": "{\"type\": \"Polygon\", \"coordinates\": [[[121.42359807500652, -30.803203268101967], [121.53928549242828, -30.803203268101967], [121.53928549242828, -30.71136853194179], [121.42359807500652, -30.71136853194179], [121.42359807500652, -30.803203268101967]]]}", "state": "active", "temporal_coverage_from": "2025-10-16 06:57:10.949931", "title": "Kalgoorlie-Boulder Photo-Voltaic (PV) Potential Maps: Daily Average Irradiance Values", "type": "dataset", "unpublished": false, "url": "", "version": "", "extras": [{"key": "harvest_object_id", "value": "8c88a5aa-3216-4e69-b64c-c582502f0fb3"}, {"key": "harvest_source_id", "value": "3b753826-54f7-43e3-8246-4b09aaee723f"}, {"key": "harvest_source_title", "value": "Australian Urban Research Infrastructure Network"}], "resources": [{"cache_last_updated": null, "cache_url": null, "created": "2025-10-16T06:57:11.709115", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "Download this dataset via the AURIN Download Manager", "format": "HTML", "hash": "", "id": "cf4237d3-5b66-4c5e-b05c-9fbbe22416fc", "last_modified": null, "metadata_modified": "2026-01-10T07:40:14.447287", "mimetype": null, "mimetype_inner": null, "name": "AURIN Download Manager", "package_id": "bc2e3f47-a532-4af4-9001-a86d94d17636", "position": 0, "resource_type": "file", "size": null, "state": "active", "url": "https://adp-access.aurin.org.au/dataset/solar_irradiance_footprint_daily_average", "url_type": null, "zip_extract": false}], "tags": [{"display_name": "PV Potential", "id": "3fc5ffe2-14f8-4d48-93cf-8d0f243a44fa", "name": "PV Potential", "state": "active", "vocabulary_id": null}, {"display_name": "PV Rooftops", "id": "2612481d-6d17-4a49-b711-743a47df5eaa", "name": "PV Rooftops", "state": "active", "vocabulary_id": null}, {"display_name": "Photo-Voltaic", "id": "10b08dc0-473f-4a27-ae96-a73848a59109", "name": "Photo-Voltaic", "state": "active", "vocabulary_id": null}, {"display_name": "Solar Irradiance Estimation", "id": "b492f980-23aa-4324-bf8a-d8a622d2837a", "name": "Solar Irradiance Estimation", "state": "active", "vocabulary_id": null}, {"display_name": "Urban Rooftop Aggregation", "id": "938017db-5128-4f59-b7a0-30218ff142a2", "name": "Urban Rooftop Aggregation", "state": "active", "vocabulary_id": null}], "groups": [], "relationships_as_subject": [], "relationships_as_object": []}}