Siting criteria and feasibility analysis for PV power generation projects using road facilities

Kim, Soullam; Lee, Yuhwa; Moon, Hak-Ryong

doi:10.1016/j.rser.2017.08.067

Cited by 26 publications

(12 citation statements)

References 4 publications

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“…Besides that, the existence of other power plants is near to that local, because if there is one installed near the chosen place, there is a possibility for this existing power plant to expand, increasing competitiveness in the local market. So as to ensure the importance of this factor, we could mention the research of Kim et al, which proposes to identify the criteria for preparing the installation of solar power plants along with some sections of the South Korean highways to generate electricity, focusing on the potential of such facilities. It means that the expansion capacity factor stimulates the interest in continuing to invest in clearly competitive places.…”

Section: Resultsmentioning

confidence: 99%

Determinant factors in site selection for photovoltaic projects: A systematic review

et al. 2018

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Summary The choice of great places for installation of solar power plants has become a key issue in terms of project planning because of the increased number of investments in the photovoltaic sector. This study is a systematic review of the literature that seeks to identify the determining factors in choosing the best location for solar photovoltaic power plants, through previous research on the application of renewable energy technologies in great contexts of location. Among a total of 130 academic studies filtered by the keywords “photovoltaic energy,” “power plants,” “location,” and “factor” on the bases ScienceDirect, Scopus, Web of Science, and IEEE, a total of 27 studies were identified. These articles were carefully explored, including years of publication, countries of origin, and identification of factors that each author demonstrated. It has been extracted 28 factors, organized in six points of view: socioenvironmental, location, economic, political, climatic, and orographic. It was verified that the determining factors for choosing the best locations are solar irradiation, substation distance, slope, distance of roads, distance from urban areas, and land use. The results of this research may assist academic students and investors in identifying factors that they should consider in their decision making and may also assist in the efficient planning of renewable energy management to ensure the sustainable development of power generation through the photovoltaic source.

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Section: Resultsmentioning

confidence: 99%

Determinant factors in site selection for photovoltaic projects: A systematic review

et al. 2018

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“…That estimation is relatively accurate [12]. Reference [13] considers factors such as the environment, terrain, location, climate, and humanity and uses GIS to locate PV power stations on expressways and calculate their characteristics. In that study, PVSYST(A photovoltaic simulation software) simulation was used to calculate and take into account factors such as the PV panel structure type, mounting angle, and sunlight incidence angle, but the quantitative standard for calculating the feasibility was too limited.…”

Section: Introductionmentioning

confidence: 99%

“…The electricity generated by the station generally adopts the principle of "self-use power generation, surplus electricity access to the grid," and the remaining electricity is boosted to the distribution network voltage after being converged and connected to the power grid. There have been some studies on this topic [12][13][14]. For example, the domestic Qingdao railway station adopts a wind and rain canopy integrated method, with a PV system power generation area of 2200 m 2 and an annual power generation of approximately 67 MWh; Hangzhou East Railway Station uses a building roof and wind and rain canopy integrated method, with an installation area of 79,000 m 2 and an annual power generation capacity of approximately 10 GWh; and Shanghai Hongqiao Station covers an area of 61,000 m 2 , with an estimated annual power generation of 6.3 million kWh.…”

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confidence: 99%

The Potential of Photovoltaics to Power the Railway System in China

et al. 2020

Energies

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According to the International Energy Agency (IEA)’s forecast, China will fully electrify its railway system by 2050. However, the development of electrified railways is limited in the weak areas of China’s power grid. To surpass these limitations, we turn our attention to new railway energy sources, among which the most suitable is photovoltaic power generation. To evaluate the feasibility of integrating railway systems and photovoltaic power generation in China, this paper analyzes the geographical conditions and railway layout of China, gives a potential method for evaluating railway asset energy transformation measures and asset energy transformations that are suitable for China’s national conditions, and proposes an application of railway system energy transformation on this basis. Then, this method is used to evaluate the potential of a substation section of the Lanxin high-speed railway in China for reference. The results show that the green energy potential and scheduling potential of China’s railway assets are great and can effectively alleviate the energy anxiety of China’s railway system.

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“…La irradiación solar anual promedio es un indicador ambiental que utilizan los países para la selección de emplazamientos donde puedan instalarse concentradores fotovoltaicos (CFV), pero no es el único. Se ha propuesto otra serie de indicadores ambientales para seleccionar sitios adecuados para instalar plantas solares fotovoltaicas en Europa, China y países árabes, tales como uso de suelo, clima y condiciones topográficas (Ávila, Bravo y Guerra, 2016; Gathu, Odera y Waithaka, 2017; Shorabeh, Firozjaei, Nematollahi, Firozjaei y Jelokhani-Niaraki, 2019), trasporte, infraestructura carretera, áreas protegidas, rutas migratorias de aves, geología e indicadores socioeconómicos, como aceptación social y creación de empleo, entre otros (Atak et al, 2019;Fang, Li y Song, 2018;Harajli, Kabakian, El-Baba, Diab y Nassab, 2020;Kim, Lee y Moon, 2018).…”

Section: Introductionunclassified

Evaluación de los recursos de radiación solar en los municipios de Baja California Sur, México, mediante un modelo de aptitud socioambiental

Pfennig

González-Baheza

2020

regsoc

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El objetivo del trabajo es evaluar el índice de aptitud de los municipios de Baja California Sur para la instalación de concentradores fotovoltaicos. La metodología propone un modelo de aptitud que incorpora seis indicadores socioambientales explícitos en términos espaciales con asignación de su contribución diferenciada o pesos por medio de análisis multicriterio. Los resultados muestran que la irradiación horizontal anual promedio en Baja California Sur es de 6.19 kW h/m2/día en el periodo 1998-2014. De la superficie total en el estado, 5.25% es viable para la instalación de concentradores fotovoltaicos. Comondú, Mulegé y La Paz presentaron los mayores valores de aptitud. Los indicadores predominantes del modelo son la red carretera, la red eléctrica y las zonas con pendientes de ˂4°. El estudio se limitó a analizar la influencia de los indicadores socioambientales en la ubicación de sistemas de concentradores fotovoltaicos. La metodología podría replicarse en otras regiones para facilitar la toma de decisiones. Los resultados sugieren que los tres municipios de Baja California Sur mencionados son los más favorables en términos socioambientales para la instalación de dichos concentradores.

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Siting criteria and feasibility analysis for PV power generation projects using road facilities

Cited by 26 publications

References 4 publications

Determinant factors in site selection for photovoltaic projects: A systematic review

Determinant factors in site selection for photovoltaic projects: A systematic review

The Potential of Photovoltaics to Power the Railway System in China

Evaluación de los recursos de radiación solar en los municipios de Baja California Sur, México, mediante un modelo de aptitud socioambiental

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