{"id":284747,"date":"2026-08-04T17:16:52","date_gmt":"2026-08-04T15:16:52","guid":{"rendered":"https:\/\/www.heiwit.com\/?page_id=284747"},"modified":"2026-08-04T17:17:11","modified_gmt":"2026-08-04T15:17:11","slug":"public-administration-rooftop-photovoltaic-potential-study","status":"publish","type":"page","link":"https:\/\/www.heiwit.com\/en\/studio-potenziale-fotovoltaico-tetti-pubblica-amministrazione\/","title":{"rendered":"The photovoltaic potential of Italian public administration roofs"},"content":{"rendered":"
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How much photovoltaic power could be installed on the roofs of schools, hospitals, town halls and other buildings belonging to the Italian Public Administration? Heiwit has built a bottom-up model to provide an initial quantitative answer and, alongside the results, is also publishing the limitations that emerged from the audit.<\/p>\n

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41.254<\/strong>elements in the OpenStreetMap frame<\/span><\/div>\n
10.000<\/strong>units in the declared sample<\/span><\/div>\n
5.68 GW<\/strong>declared theoretical power<\/span><\/div>\n
7.53 TWh<\/strong>declared annual output<\/span><\/div>\n<\/div>\n
Transparency notice.<\/strong> The values 5.68 GW, 7.53 TWh\/year and 6.8 billion euros are results declared by the Heiwit model. The document audit of 4 August 2026 was unable to replicate them in full because detailed datasets, code, API logs, bootstrap outputs, GSE matching and cash flow were missing from the material received. The limitation is stated, not hidden.<\/div>\n

The study in one minute<\/h2>\n

The model starts from a frame of 41,254 OpenStreetMap elements classified as schools, hospitals, town halls and other facilities with functions attributable to the public administration. It is not correct to automatically call it a \u00abcensus of public buildings\u00bb: a functional tag does not prove public ownership and an OSM element can be a point of interest, a building or an entire complex.<\/p>\n

Based on a stated stratified sample of 10,000 units, of which 9,318 had valid data, the model combines geospatial data, the Google Solar API, PVGIS and a spatial comparison with GSE Atlaimpianti. The stated theoretical result is 5.68 GWp and 7.53 TWh\/year. Compared with the PNIEC, 5.68 GW is equivalent to 7.17% of the overall photovoltaic target of 79.2 GW, or 13.46% of the arithmetic gap compared with the 37.002 GW in operation by the end of 2024. The two indicators have different denominators and should not be confused.<\/p>\n

Why the content is relevant<\/h2>\n