Solar Energy Resource Assessment Using R.SUN In GRASS GIS And Site Suitability Analysis Using AHP For Groundmounted Solar Photovoltaic (PV) Farm In The Central Luzon Region (Region 3), Philippines

Pintor, Ben Hur; Sola, Eula Fae; Teves, Justine; Inocencio, Loureal Camille; Ang, Ma. Rosario Concepcion O.

doi:10.7275/r5n58jkf

Cited by 3 publications

(2 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The analysis, performed with ArcGIS, uses solar radiation maps and technical regional maps for geographical data. Another study by Pintor et al (2015), analyzed the available daily solar irradiation using r.sun tool in GIS and identified possible sites for ground mounted PV farms. It uses typical days per month to reduce simulation runs from 365 to 12 using the days suggested by Duffie and Beckman, 1991.…”

Section: Research Backgroundmentioning

confidence: 99%

Modeling and mapping solar energy production with photovoltaic panels on Politecnico di Torino university campus

Usta,

Carioni,

Mutani

2024

Energy Efficiency

View full text Add to dashboard Cite

Educational institutions have significant impacts on the society and environment they are inhabiting, and they can have a big role in influencing various development fields, including sustainability. The environmental sustainability of universities was critically analyzed recently. These bodies can contribute to the sustainability of cities due to their social role in shaping the future generations. The aim of this work is to analyze Urban Building Energy Modeling with a place-based approach using the open-source software QGIS in predicting energy production with photovoltaic solar technologies on the rooftops of the central university campus of Politecnico di Torino. This modeling can help in assessing the energy security and affordability of current and future sustainable scenarios considering their impact on climate change. This study evaluates the accuracy of urban scale QGIS-based energy modeling with a comparison of measured data available from the monitoring activity of LivingLab of Politecnico di Torino, the free tool PVGIS, and the web tools of ENEA. The QGIS modeling accuracy depends on the different precisions of the Digital Surface Model used to describe the built environment (i.e., 1 m or 5 m) and the climate input data (monthly and annual diffuse-to-global radiation and Linke turbidity factor). Moreover, this assessment can be used to map the results of new photovoltaic systems improving the energy and environmental performance of university campuses. The results of this work shed light on the significance of different input data for energy simulation tools at neighborhood-urban scale. The result shown accuracies in PV production of 10 to 37% with different spatial resolutions of the 3D built environment and of 14 to 15.2% for temporal resolution of solar irradiation variables.

show abstract

Section: Research Backgroundmentioning

confidence: 99%

Modeling and mapping solar energy production with photovoltaic panels on Politecnico di Torino university campus

Usta,

Carioni,

Mutani

2024

Energy Efficiency

View full text Add to dashboard Cite

show abstract

“…Additionally, ArcGIS [99] provides a solar radiation toolbox [100], which operates similarly to r.sun and has undergone calibration and validation through international research endeavors [101]. The advantage of r.sun is the number of users it has already reached, and so, the number of calibrations and validations this tool has undergone [102]. Therefore, for solar potential assessment, r.sun was selected, applying the methodology described in the work of Gasparovic et al [103].…”

mentioning

confidence: 99%

Integration of Land Use Potential in Energy System Optimization Models at Regional Scale: The Pantelleria Island Case Study

Mosso,

Rajteri,

Savoldi

2024

Sustainability

View full text Add to dashboard Cite

In the context of the energy transition, the integration of land use considerations into energy planning can provide significant improvements. In energy system optimization models (ESOMs), land use aspects can be integrated at the cost of a finer spatial resolution and a more detailed characterization of land, tailored to regional constraints and specificities. Additionally, an assessment of trade-offs with alternative land uses is necessary. Nevertheless, they are commonly neglected. This study addresses the challenge of incorporating land use aspects into ESOMs, with a focus on the unique context of Pantelleria Island. It aims to bridge the gap in methodologies for renewable energy potential assessment and model integration, considering the critical role of land pricing and availability. It combines geospatial data aggregation with model adaptation to include detailed land use aspects. The findings highlight the substantial impact of land costs on renewable energy planning, with land pricing significantly altering model outcomes. This research offers key insights for sustainable energy planning and underscores the importance of considering land use in energy transition strategies.

show abstract

Integration of Land-Use Potential in Energy System Optimization Models at Regional Scale: The Pantelleria Island Case Study

Mosso,

Rajteri,

Savoldi

2024

Preprint

View full text Add to dashboard Cite

In the context of the energy transition, the integration of land use considerations into energy planning is increasingly vital, especially in scenarios where land availability is a constraint. This study addresses the challenge of incorporating land-use aspects into Energy System Optimization Models (ESOMs), with a focus on the unique context of Pantelleria Island. It aims to bridge the gap in methodologies for renewable energy potential assessment and model integration, considering the critical role of land pricing and availability. It combines geospatial data aggregation with model adaptation to include detailed land use aspects. Findings highlight the substantial impact of land costs on renewable energy planning, with land pricing significantly altering model outcomes. This research offers key insights for sustainable energy planning and underscores the importance of considering land use in energy transition strategies.

show abstract

Solar Energy Resource Assessment Using R.SUN In GRASS GIS And Site Suitability Analysis Using AHP For Groundmounted Solar Photovoltaic (PV) Farm In The Central Luzon Region (Region 3), Philippines

Cited by 3 publications

References 1 publication

Modeling and mapping solar energy production with photovoltaic panels on Politecnico di Torino university campus

Modeling and mapping solar energy production with photovoltaic panels on Politecnico di Torino university campus

Integration of Land Use Potential in Energy System Optimization Models at Regional Scale: The Pantelleria Island Case Study

Integration of Land-Use Potential in Energy System Optimization Models at Regional Scale: The Pantelleria Island Case Study

Contact Info

Product

Resources

About