This thesis evaluates the potential for solar farm development in the Province of Pavia, Italy, using a Geographic Information Systems (GIS)–based spatial analysis approach. The objective is to support sustainable regional energy planning by identifying land suitable for photovoltaic (PV) installations while considering technical, environmental, and infrastructural constraints. Fourteen spatial criteria were incorporated into the analysis, including solar radiation, slope, land-use restrictions, and proximity to infrastructure such as roads, railways, substations, transmission lines, hospitals, and pipelines. Exclusion areas—including military zones, surface water bodies, and groundwater protection areas—were also considered to ensure environmental protection and technical feasibility. The criteria were standardized using fuzzy membership functions and integrated in a GIS environment through weighted overlay analysis. Six suitability scenarios were developed to represent different planning priorities, including expert-based weighting, equal weighting, infrastructure accessibility, public service reliability, and land-ownership fragmentation. A final integrated scenario combined the key priorities into a comprehensive decision-support framework. The results identified several suitable areas, particularly in the southern and western parts of the province. In total, approximately 2,911,915 m² of land were identified as suitable for solar farm development, with the potential to support approximately 291 MW of installed solar capacity. The methodology provides a practical and replicable framework for renewable energy planning and can be applied to other regions or extended to different renewable energy technologies.
Questa tesi analizza il potenziale per lo sviluppo di impianti solari nella Provincia di Pavia, Italia, attraverso un approccio di analisi spaziale basato su Sistemi Informativi Geografici (GIS). L’obiettivo è supportare una pianificazione energetica regionale sostenibile individuando aree idonee per l’installazione di impianti fotovoltaici (PV), considerando vincoli tecnici, ambientali e infrastrutturali. Nell’analisi sono stati integrati quattordici criteri spaziali, tra cui radiazione solare, pendenza, vincoli di uso del suolo e prossimità alle infrastrutture principali come strade, ferrovie, sottostazioni elettriche, linee di trasmissione, ospedali e gasdotti. Sono state inoltre considerate aree di esclusione, come zone militari, corpi idrici superficiali e aree di protezione delle acque sotterranee, per garantire la tutela ambientale e la fattibilità tecnica. I criteri sono stati standardizzati mediante funzioni fuzzy e integrati nell’ambiente GIS tramite analisi di overlay ponderato. Sono stati sviluppati sei scenari di idoneità per rappresentare diverse priorità di pianificazione, tra cui pesi basati su esperti, pesi uguali, accessibilità alle infrastrutture, affidabilità dei servizi pubblici e frammentazione della proprietà fondiaria. Uno scenario finale ha integrato queste priorità in un modello complessivo di supporto alle decisioni. I risultati hanno individuato diverse aree idonee, in particolare nelle zone meridionali e occidentali della provincia. Complessivamente, circa 2.911.915 m² di territorio sono risultati adatti allo sviluppo di impianti solari, con un potenziale di circa 291 MW di capacità installata. La metodologia proposta rappresenta un framework pratico e replicabile per la pianificazione delle energie rinnovabili e può essere applicata anche in altre regioni o ad altre tecnologie energetiche.
Selezione dei Siti per Impianti Solari nella Provincia di Pavia mediante Analisi Multi-Criterio basata su GIS
BAZARGANPOUR, KASRA
2024/2025
Abstract
This thesis evaluates the potential for solar farm development in the Province of Pavia, Italy, using a Geographic Information Systems (GIS)–based spatial analysis approach. The objective is to support sustainable regional energy planning by identifying land suitable for photovoltaic (PV) installations while considering technical, environmental, and infrastructural constraints. Fourteen spatial criteria were incorporated into the analysis, including solar radiation, slope, land-use restrictions, and proximity to infrastructure such as roads, railways, substations, transmission lines, hospitals, and pipelines. Exclusion areas—including military zones, surface water bodies, and groundwater protection areas—were also considered to ensure environmental protection and technical feasibility. The criteria were standardized using fuzzy membership functions and integrated in a GIS environment through weighted overlay analysis. Six suitability scenarios were developed to represent different planning priorities, including expert-based weighting, equal weighting, infrastructure accessibility, public service reliability, and land-ownership fragmentation. A final integrated scenario combined the key priorities into a comprehensive decision-support framework. The results identified several suitable areas, particularly in the southern and western parts of the province. In total, approximately 2,911,915 m² of land were identified as suitable for solar farm development, with the potential to support approximately 291 MW of installed solar capacity. The methodology provides a practical and replicable framework for renewable energy planning and can be applied to other regions or extended to different renewable energy technologies.| File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.14239/34044