Hotspots of solar potential in India

Ramachandra, T. V.; Jain, Rishabh; Krishnadas, Gautham

doi:10.1016/j.rser.2011.04.007

Cited by 237 publications

(50 citation statements)

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“…The wasteland and shrub lands receive 21% and 14% of assured energy respectively. Though the solar hotspots in India were defined recently 8 by using coarser resolution (1  1) SSE (Surface Meteorology and Solar Energy) data of NASA, the study lacked in estimation of assured solar energy potential over different land uses. The present assessment would facilitate to have decisions on site-selection for installation of new large scale solar-based power generation systems and also to compute roof-top solar energy potential in urban and rural India.…”

Section: Regional Hot-spots Of Assured Solar Energymentioning

confidence: 99%

“…The Ministry of New and Renewable Energy is also in the process of setting up a proposed network of 121 Solar Radiation Resource Assessment (SRRA) stations. The interpolation from such sparse network produces large errors (60-70%) due to large uncertainties of intermittent diurnal cloud cover, cloud types and atmospheric turbidity in cloudless skies 8,9 . Moreover, high maintenance costs and lack of availability of real-time data are major impediments.…”

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confidence: 99%

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Assured Solar Energy Hot-Spots over Indian Landmass Detected through Remote Sensing Observations from Geostationary Meteorological Satellite

2016

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Quantification of assured solar energy potential is essential to select locations for solar photovoltaic, thermal power plants and to quantify solar power potential. The use of remote sensing observations from geostationary satellite sensors is ideal to capture space-time variability of surface insolation. The annual clear solar energy exposure over India was determined using three years' insolation data at 8 km spatial resolution from Kalpana-1 satellite. High density solar energy pockets were diagnosed in western, central and southern India including Gujarat, Rajasthan, Madhya Pradesh, Karnataka, Tamil Nadu and Chhattisgarh states with annual solar energy exposure ranging from 2500 to 3500 kW h m -2 yr -1 .Keywords: Geostationary satellite, renewable energy, remote sensing.THE over-consumption of the available conventional energy resources in the past few decades has brought to light the threat of energy crisis due to depleting nonrenewable energy sources and increasing population. Moreover, it has also deteriorated the quality of the environment. The use of alternative forms of energy such as solar, wind, ocean, thermal, biomass, geothermal, hydro and tidal energies reduce our dependency on fossil fuels and serve better to complement national energy security 1 . Among these, solar energy can be a good alternative and renewable energy source to fulfil the current energy needs. Advancement in solar radiation technologies is paving the new way in energy sustainability 2 at global (continent) to local (village) scales. Solar energy data is a fundamental input for power generation potential through photovoltaic systems, solar collectors for heating, solar air conditioning, climate control in buildings and passive solar devices 3 . India being a sub-tropical country has vast potential of solar energy compared to its total energy consumption in a year 4,5 , especially in urban and rural sectors. Till date, solar energy is under-utilized in India.It currently accounts for only 0.8% of total power generation capacity in India 1 . The Jawaharlal Nehru National Solar Mission (JNNSM) is a major initiative of the Government of India and state governments to promote ecologically sustainable growth while addressing India's energy security challenges. It also constitutes a major contribution by India to the global effort to meet the challenges of climate change. On launching of India's National Action Plan on Climate Change on 30 June 2008, it had emphasized a graduated shift from economic activity based on fossil fuels to one based on non-fossil fuels and from reliance on non-renewable and depleting sources of energy to renewable sources of energy, specifically to develop solar energy as a source of abundant energy to power our economy and to transform the lives of our people.The objective of the solar mission is to create conditions through rapid scale-up of capacity and technological innovation to drive down costs towards grid parity. The mission anticipates in its three phases to grid cost achieving grid parity for solar...

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Section: Regional Hot-spots Of Assured Solar Energymentioning

confidence: 99%

mentioning

confidence: 99%

Assured Solar Energy Hot-Spots over Indian Landmass Detected through Remote Sensing Observations from Geostationary Meteorological Satellite

2016

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“…The satellite-derived NASA SSE solar radiation data consist of the global horizontal irradiance and the direct component also on the horizontal plane [3,4,5,6]. The global horizontal radiation is the sum of both the diffuse radiation and the direct radiation components as measured incident on horizontal plane [8].…”

Section: Review Of Relevant Literaturementioning

confidence: 99%

Development of Site Specific Optimal Tilt Angle Model for Fixed Tilted Plane PV Installation ın Akwa Ibom State, Nigeria

Umoette¹

2016

SJEE

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Photovoltaic (PV) panels' orientation (azimuth angle) and tilt angle significantly affect the energy output of PV power plants. The reason is because the photovoltaic panels produce more electric energy when their surfaces are perpendicular to the sun's rays. Researchers have developed models for estimating the optimal tilt angle for any given location across the globe. In this paper, a site specific model is developed for more accurate estimation of the optimal tilt angle for fixed-tilt angle PV installations at the Ibom E-Library in Uyo metropolis, Akwa state of Nigeria. The solar radiation data used for the study was obtained from the National Aeronautics and Space Administration Surface meteorology and Solar Energy (NASA SSE) website. PVsyst simulation software was used to perform the transposition of the global radiation on horizontal plane to tilted plane. For the location with latitude of 5.123° the existing model estimated the optimal tilt angle as 7.16035° whereas, the site-specific model estimated 11.5° for the optimal tilt angle. The model has prediction accuracy of 99.77% and root mean square error of 0.002567. The optimal tilt angle model can be employed for fixed tilted plane PV installations in the nearby locations.

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“…It consists of two parameters: Diffuse Horizontal irradiance (DHI) and direct Normal Irradiance (DNI). These are used to calculate Global Horizontal Irradiance (GHI) as: GHI = DHI + DNI × cos (Φ) (1) where Φ of the solar zenith angle [10]. The GHI values are on the website of the Indian Ministry of Renewable Energy (MNRE) is available.…”

Section: A Data Collectionmentioning

confidence: 99%

“…In the production of renewable energy, is one of the most important resources of the incident solar radiation. It is depending on the geography of the earth (height, length, width and surface angle), Sun-Earth position hour, azimuth and inclination angle [1]. In India incident solar radiation varies from 44 to 77 per cent per kWh m2 per day, the other varies from 68 to 82 percent under a clear sky days per year [2].…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Parameter Estimation Methods for Solar Irradiation Forecasting

Kashyap¹,

Bansal²,

Sao³

et al. 2015

JOCET

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Hotspots of solar potential in India

Cited by 237 publications

References 23 publications

Assured Solar Energy Hot-Spots over Indian Landmass Detected through Remote Sensing Observations from Geostationary Meteorological Satellite

Assured Solar Energy Hot-Spots over Indian Landmass Detected through Remote Sensing Observations from Geostationary Meteorological Satellite

Development of Site Specific Optimal Tilt Angle Model for Fixed Tilted Plane PV Installation ın Akwa Ibom State, Nigeria

Comparative Study of Parameter Estimation Methods for Solar Irradiation Forecasting

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