Data for: Geospatial and techno-economic analysis of wind and solar resources in India

Published: 9 Nov 2018 | Version 1 | DOI: 10.17632/62f7rfczfw.1
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Description of this data

These data were created as part of the publication: Deshmukh R, Wu G C, Callaway D, Phadke A. (2018) "Geospatial and techno-economic analysis of wind and solar resources in India". The data set includes 3 shape files for wind, solar photovoltaic, and concentrated solar power technologies. The shape files consist of potential project opportunity areas (POAs) for each of the technologies. For each POA, which is 5 x 5 km2 or smaller in size, we calculated various attributes including mean renewable resource quality, levelized cost of generation based on that resource quality, levelized cost for transmission connection to the nearest substation, levelized cost for road connection, distances to nearest substation, road, load center, and water body, water stress (important consideration for solar resources), and electricity generation and installed capacity potential for that land parcel. The description of the attributes in the shape files is included in a pdf file. The abstract for the paper, which summarizes our findings is as follows:
Using geospatial and economic analysis, we identify abundant renewable resources in India - 850-3,400 GW for onshore wind, 1,300-5,200 GW for utility-scale solar photovoltaic (PV), 160-620 GW for concentrated solar power (CSP, with 6h-storage). However, these resources are concentrated in the western and southern regions. Deriving capital costs from India's 2017-18 auction prices, we estimate the 5th and 95th percentiles of levelized costs of energy generation ranging from USD 47-52 per MWh for solar PV and USD 42-62 per MWh for wind. Karnataka, Maharashtra, Tamil Nadu, and Telangana are the best states for access to high-voltage substations, but transmission investments in Gujarat, Rajasthan, Andhra Pradesh, and Madhya Pradesh are needed to harness signi cant renewable resources. More than 80% of wind resources lie on agricultural lands where dual land use strategies could encourage wind development and avoid loss of agriculturally productive land. Approximately 90% of CSP resources and 80% of solar PV resources are in areas experiencing high water stress, which can severely restrict deployment unless water requirements are minimized. Finally, we find co-location potential of at least 110 GW of wind and 360 GW of solar PV, which together could meet 35% of electricity demand in 2030.

Experiment data files

Steps to reproduce

Please see Deshmukh R, Wu G C, Callaway D, Phadke A. (2018) "Geospatial and techno-economic analysis of wind and solar resources in India" for methods and input data sets.

Related links

This data is associated with the following publication:

Geospatial and techno-economic analysis of wind and solar resources in India

Published in: Renewable Energy

Latest version

  • Version 1

    2018-11-09

    Published: 2018-11-09

    DOI: 10.17632/62f7rfczfw.1

    Cite this dataset

    Deshmukh, Ranjit; Wu, Grace (2018), “Data for: Geospatial and techno-economic analysis of wind and solar resources in India”, Mendeley Data, v1 http://dx.doi.org/10.17632/62f7rfczfw.1

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Institutions

E O Lawrence Berkeley National Laboratory, University of California Berkeley Graduate Group in Energy and Resources

Categories

Solar Energy, Wind Energy, Geospatial Data Repository, Renewable Energy

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