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Modelling of PV systems installations using Geographical Information System:The case of Toluca (Mexico)

Carlos Armenta-Déu, Segura-Muñoz F.J., Domínguez-Bravo F.J., Martín-Ávila A.M.

Abstract


The goal of the paper is determining the available capacity of photovoltaic power generation density of a defined area through a modeling process using GIS. The method identifies the spots, and calculates the available area that receives solar radiation, taking into account geographical characteristics and spatial distribution of spots. Tilt and orientation are also considered to evaluate shading. The program identifies suitable spots valid for PV power generation. Power density is calculated from estimated values of available area and power, and data is corrected for horizontal plane that represents the reference for PV project evaluation. The method has the advantage of determining solar radiation and available area within high accuracy. The simulation results have been compared with the specific requirements for the configuration area, being within the established range, which proves the goodness of the method and verifies the availability of photovoltaic resources for the implementation of a power system.

Keywords: ArcGIS, area sol, LIDAR maps, PV modeling, photovoltaic energy, power generation density


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L. Beltrán, R. Alexandri, F. Cafaggi, S. Barrera, B. Hérnandez, and M. del P. Gerrero, “Balance Nacional de Energía,” Secr. ENERGÍA MÉXICO, pp. 15–19, 2017.

L. Sánches, “El consumo energético de los hogares en México,” pp. 81–86, 2010.

F. Johannes, “CAIT Climate Data Explorer,” 2018. [Online]. Available: http://cait.wri.org/profile/Mexico.

“Comisión Federal de Electricidad (CFE),” 2011. [Online]. Available: http://www.cfe.gob.mx.

“IEAStatistics” 2015. [Online]. Available:

https://www.iea.org/statistics/statisticssearch/report/?year=2015&country=MEXICO&product=Indicators

COMITÉ TÉCNICO DE NORMALIZACIÓN NACIONAL DE PARQUES INDUSTRIALES (CTNNPI), “NORMA MEXICANA NMX-R-046-SCFI-2011 PARQUES INDUSTRIALES – ESPECIFICACIONES ( CANCELA A LA NMX-R-046-SCFI-2005 ). INDUSTRIAL PARKS - SPECIFICATIONS,” p. 6, 2011.

Comisión Federal de Electricidad (CFE), “CFE program (2013-2018),” pp. 5–13, 2013.

U. Alon, “How To Choose a Good Scientific Problem,” Mol. Cell, vol. 35, no. 6, pp. 726–728, Sep. 2009.

Comisión Federal de Electricidad (CFE), “Development of the National Electric System (2013-2016),” 2016.

D. (CEMAER. O. Alcubierre, “Centro de Estudios en Medio Ambiente y Energías Renovables,” 2018. [Online]. Available: http://www.cemaer.org.

Q. Hernández-Escobedo, A. Fernández-García, F. Manzano-Agugliaro (2017) Solar resource assessment for rural electrification and industrial development in the Yucatan Peninsula (Mexico), Renewable and Sustainable Energy Reviews,Volume 76, P. 1550-1561

Ali Etem Gürel, Ümit Ağbulut, Yunus Biçen (2020) Assessment of machine learning, time series, response surface methodology and empirical models in prediction of global solar radiation, Journal of Cleaner ProductionIn press, journal pre-proof. Available online 23 May 2020, Article 122353, https://doi.org/10.1016/j.jclepro.2020.122353

Ayse Gul Kaplan, Yusuf Alper Kaplan (2020) Developing of the new models in solar radiation estimation with curve fitting based on moving least-squares approximation, Renewable Energy, Volume 146, p. 2462-2471

Mawloud Guermoui, Farid Melgani, Kacem Gairaa, Mohamed Lamine Mekhalfi (2020), A comprehensive review of hybrid models for solar radiation forecasting, Journal of Cleaner Production, Volume 258, Article 120357

Sergio Copiello, Carlo Grillenzoni (2017) Solar Photovoltaic Energy and Its Spatial Dependence, Energy Procedia, Volume 141, p.86-90

Jin Dong, Mohammed M. Olama, Teja Kuruganti, Alexander M. Melin, Yaosuo Xue (2020) Novel stochastic methods to predict short-term solar radiation and photovoltaic power, Renewable Energy, Volume 145, p.333-346

Qing Yang, Tianyue Huang, Saige Wang, Jiashuo Li, Huaiwu Peng (2019) A GIS-based high spatial resolution assessment of large-scale PV generation potential in China, Applied Energy, Volume 247, p.254-269

Benjamin Pillot, Nadeem Al-Kurdi, Carmen Gervet, Laurent Linguet (2020) An integrated GIS and robust optimization framework for solar PV plant planning scenarios at utility scale, Applied Energy, Volume 260, Article 114257

Daniele Groppi, Livio de Santoli, Fabrizio Cumo, Davide Astiaso Garcia (2018) A GIS-based model to assess buildings energy consumption and usable solar energy potential in urban areas, Sustainable Cities and Society, Volume 40, p.546-558

Alaa Alhamwi, Wided Medjroubi, Thomas Vogt, Carsten Agert (2019) Development of a GIS-based platform for the allocation and optimisation of distributed storage in urban energy systems, Applied Energy,Volume 251, Article 113360

O. Perpiñán Lamigueiro (2014) “Energía Solar Fotovoltaica,” in creative commons, p. 78.

C. Agustin and S. German (2012) “Instalaciones Solares Fotovoltaicas,” p. 32

epsg.io. EPSG:32614. MapTiler Team. WGS 84/UTM zone 14N. https://epsg.io/32614

“inmuebles24” (2018) [Online], Available:

https://www.inmuebles24.com/propiedades/terreno-industrial-en-venta-en-parque-industrial-50965161.html

“Instituto Nacional de Estadística y Geografía de México” 2017

M. Iqbal, (1983) An Introduction to Solar Radiation. Academic Press.

P. Fu and P. M. P. Rich (1999) “Design and implementation of the Solar Analyst: an ArcView extension for modeling solar radiation at landscape scales,” 19th Annu. ESRI User Conf., p.1–24

J. I. Prieto (2017) DISPONIBILIDAD DE LA ENERGÍA SOLAR (Solar Energy availability). Universidad de Oviedo. ISBN 9788416343362

Germán Santamaría y Agustín Castejón (2012) “Instalaciones Solares Fotovoltaicas,” Ed. Editex, p. 32 ISBN-13 978-8497716550

P. D. Paul W. Stackhouse, Jr. (2016) “NASA Surface meteorology and Solar Energy,”, p. 1

“ArcGIS” (2017) [Online]. Available: http://resources.arcgis.com. [Accessed: 10-May-2017]

“ArcInfo.” Esri, 2017

G. I. Northern et al. (2015) “NASA Surface meteorology and Solar Energy ­ Available Tables Parameters for Solar Cooking :,” p.1–21

“ENF solar” (2018) [Online]. Available: www.enfsolar.com

NREL National Solar Radiation Data Base. Data Sets. www.rredc.nrel.gov/solar/old_data/nrsdb/

NOAA. National Oceanic and Atmospheric Administration. National Centers for Environmental Information. National Solar Radiation Database. ftp://ftp.ncdc.noaa.gov/pub/data/nsrdb-solar/

NASA. National Aeronautics and Space Administration. Solar Radiation Database. Data Viewer. www.power.larc.nasa.gov/data-access-viewer/

PVSYST, PVsystSA. www.pvsyst.com/

Blair et all (2018), System Advisor Model (SAM), General Description (version 2017.9.5), NREL/TP-6A20-70414

Solar Off-grid system Designer. Updated on 2017-10-02. venkat0249. sourceforget.net/projects/solar-off-grid-system-designer/

D. Prince Winston, S. Kumaravel, B. Praveen Kumar, S. Devakirubakaran (2020) Performance improvement of solar PV array topologies during various partial shading conditions, Solar Energy, Volume 196, p.228-242

G. Trzmiel, D. Głuchy, D. Kurz (2020) The impact of shading on the exploitation of photovoltaic installations, Renewable Energy, Volume 153, p.480-498

S. Fadhel, C. Delpha, D. Diallo, I. Bahri, M. F. Mimouni (2019) PV shading fault detection and classification based on I-V curve using principal component analysis: Application to isolated PV system, Solar Energy, Volume 179, p.1-10

Sara Gallardo-Saavedra, Björn Karlsson (2018) Simulation, validation and analysis of shading effects on a PV system, Solar Energy, Volume 170, p.828-839

Mahmoud Dhimish, Violeta Holmes, Bruce Mehrdadi, Mark Dales, Peter Mather (2018) PV output power enhancement using two mitigation techniques for hot spots and partially shaded solar cells, Electric Power Systems Research, Volume 158, p.15-25

Mahmoud Dhimish, Violeta Holmes, Peter Mather, Martin Sibley (2018) Novel hot spot mitigation technique to enhance photovoltaic solar panels output power performance, Solar Energy Materials and Solar Cells, Volume 179, p.72-79

Duffie, J.A. and Beckmann, W.A. (2012) Solar Engineering of Thermal Processes. 4th ed. John Wiley and Sons. ISBN-10: 0470873663, ISBN-13: 978-0470873663




DOI: https://doi.org/10.37591/.v11i2.870

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