Revealing the solar energy potential by integration of GIS and AHP in order to compare decisions of the land use on the environmental plans

2021 ◽  
pp. 105899
Author(s):  
Yakup Emre Coruhlu ◽  
Necmettin Solgun ◽  
Volkan Baser ◽  
Fatih Terzi
Keyword(s):  
Land Use ◽  
Solar Energy ◽  
Energy Potential

An evaluation of domestic solar energy potential in Taiwan incorporating land use analysis

Energy Policy ◽  
2011 ◽  
Vol 39 (12) ◽  
pp. 7988-8002 ◽  
Author(s):  
Cheng-Dar Yue ◽  
Guo-Rong Huang
Keyword(s):  
Land Use ◽  
Solar Energy ◽  
Energy Potential

Estimation of wind and solar energy potential considering future land use change in the world

2021 ◽  
Vol 77 (5) ◽  
pp. I_183-I_189
Author(s):  
Yuto KUWABA ◽  
Tomoko HASEGAWA ◽  
Shinichiro FUJIMORI ◽  
Diego SILVA HERRAN
Keyword(s):  
Land Use ◽  
Solar Energy ◽  
Land Use Change ◽  
Energy Potential ◽  
The World

scholarly journals Shining a light on solar energy in Ontario’s planning process: lessons from international best practices in solar energy.

2021 ◽  
Author(s):  
Elisa Katrine Bernier
Keyword(s):  
Land Use ◽  
Urban Planning ◽  
Solar Energy ◽  
Best Practices ◽  
Land Use Planning ◽  
Planning Process ◽  
Green Energy ◽  
Energy Potential

Solar energy is being heralded as a renewable, abundant and increasingly costeffective source of energy. The Ministry of Energy has made great strides promoting renewable energies such as solar power through the introduction of the Green Energy Act. The ‘elephant in the room' that remains to be addressed is the role of land use planning in enabling solar energy generation in urban Ontario. In light of provincial plan updates, the Province has a unique window to think about solar energy in urban planning and to help its municipalities become ‘solar ready’. The purpose of this paper is to identify transferable lessons from international best practices in order to derive key recommendations for the province. With provincial support, municipalities can develop plans and regulations that will maximize solar energy potential and ensure its long-term viability in their communities.

scholarly journals Shining a light on solar energy in Ontario’s planning process: lessons from international best practices in solar energy.

2021 ◽  
Author(s):  
Elisa Katrine Bernier
Keyword(s):  
Land Use ◽  
Urban Planning ◽  
Solar Energy ◽  
Best Practices ◽  
Land Use Planning ◽  
Planning Process ◽  
Green Energy ◽  
Energy Potential

Solar energy is being heralded as a renewable, abundant and increasingly costeffective source of energy. The Ministry of Energy has made great strides promoting renewable energies such as solar power through the introduction of the Green Energy Act. The ‘elephant in the room' that remains to be addressed is the role of land use planning in enabling solar energy generation in urban Ontario. In light of provincial plan updates, the Province has a unique window to think about solar energy in urban planning and to help its municipalities become ‘solar ready’. The purpose of this paper is to identify transferable lessons from international best practices in order to derive key recommendations for the province. With provincial support, municipalities can develop plans and regulations that will maximize solar energy potential and ensure its long-term viability in their communities.

Model Statistika Prediksi Energi Surya Dengan Menggunakan Autoregresif Integrated Moving Average (ARIMA)

Jurnal MIPA ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 181
Author(s):  
Imriani Moroki ◽  
Alfrets Septy Wauran
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Moving Average ◽  
Arima Model ◽  
Solar Irradiation ◽  
Energy Sources ◽  
Energy Potential ◽  
Good Design ◽  
Potential Sources ◽  
The Common

Energi terbarukan adalah salah satu masalah energi paling terkenal saat ini. Ada beberapa sumber potensial energi terbarukan. Salah satu energi terbarukan yang umum dan sederhana adalah energi matahari. Masalah besar ketersediaan energi saat ini adalah terbatasnya sumber energi konvensional seperti bahan bakar. Ini semua sumber energi memiliki banyak masalah karena memiliki jumlah energi yang terbatas. Penting untuk membuat model dan analisis berdasarkan ketersediaan sumber energi. Energi matahari adalah energi terbarukan yang paling disukai di negara-negara khatulistiwa saat ini. Tergantung pada produksi energi surya di daerah tertentu untuk memiliki desain dan analisis energi matahari yang baik. Untuk memiliki analisis yang baik tentang itu, dalam makalah ini kami membuat model prediksi energi surya berdasarkan data iradiasi matahari. Kami membuat model energi surya dan angin dengan menggunakan Metode Autoregresif Integrated Moving Average (ARIMA). Model ini diimplementasikan oleh R Studio yang kuat dari statistik. Sebagai hasil akhir, kami mendapatkan model statistik solar yang dibandingkan dengan data aktualRenewable energy is one of the most fomous issues of energy today. There are some renewable energy potential sources. One of the common n simple renewable energy is solar energy. The big problem of the availability of energy today is the limeted sources of conventional enery like fuel. This all energy sources have a lot of problem because it has a limited number of energy. It is important to make a model and analysis based on the availability of the energy sources. Solar energy is the most prefered renewable energy in equator countries today. It depends on the production of solar energy in certain area to have a good design and analysis of  the solar energy. To have a good analysis of it, in this paper we make a prediction model of solar energy based on the data of solar irradiation. We make the solar and wind enery model by using Autoregresif Integrated Moving Average (ARIMA) Method. This model is implemented by R Studio that is a powerfull of statistical. As the final result, we got the statistical model of solar comparing with the actual data

Evaluating the spatial and temporal solar energy potential in South Korea

2012 ◽  
Author(s):  
Si-Young Oh ◽  
Jin-Ki Park ◽  
Jong-Hwa Park
Keyword(s):  
Solar Energy ◽  
South Korea ◽  
Energy Potential

scholarly journals Mapping and Estimation of Monthly Global Solar Irradiation in Different Zones in Souss-Massa Area, Morocco, Using Artificial Neural Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-19 ◽  
Author(s):  
O. Nait Mensour ◽  
S. Bouaddi ◽  
B. Abnay ◽  
B. Hlimi ◽  
A. Ihlal
Keyword(s):  
Solar Energy ◽  
Solar Irradiation ◽  
Kriging Interpolation ◽  
Solar Pv ◽  
Energy Potential ◽  
Global Solar Irradiation ◽  
Interpolation Technique ◽  
Artificial Neural ◽  
Artificial Neural Network Ann ◽  
Hidden Layer

Solar radiation data play an important role in solar energy research. However, in regions where the meteorological stations providing these data are unavailable, strong mapping and estimation models are needed. For this reason, we have developed a model based on artificial neural network (ANN) with a multilayer perceptron (MLP) technique to estimate the monthly average global solar irradiation of the Souss-Massa area (located in the southwest of Morocco). In this study, we have used a large database provided by NASA geosatellite database during the period from 1996 to 2005. After testing several models, we concluded that the best model has 25 nodes in the hidden layer and results in a minimum root mean square error (RMSE) equal to 0.234. Furthermore, almost a perfect correlation coefficient R=0.988 was found between measured and estimated values. This developed model was used to map the monthly solar energy potential of the Souss-Massa area during a year as estimated by the ANN and designed with the Kriging interpolation technique. By comparing the annual average solar irradiation between three selected sites in Souss-Massa, as estimated by our model, and six European locations where large solar PV plants are deployed, it is apparent that the Souss-Massa area is blessed with higher solar potential.

Solar energy potential in the coastal zone of the Gulf of Mexico

2015 ◽  
Vol 81 ◽  
pp. 534-542 ◽  
Author(s):  
Eunice Villicaña-Ortiz ◽  
Antonio J. Gutiérrez-Trashorras ◽  
José Pablo Paredes-Sánchez ◽  
Jorge Xiberta-Bernat
Keyword(s):  
Solar Energy ◽  
Gulf Of Mexico ◽  
Coastal Zone ◽  
Energy Potential
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