Computational tools for digital transformation can be used to collect, store, manage, analyse, and visualise spatial data. These technologies can be used to increase the efficacy and efficiency of a variety of tasks, including resource management, planning, and decision making. Computational technologies can help expand the functionality of Geographic Information Systems (GIS), a strong tool for spatial analysis. Further, these tools can be used to combine data from many sources, automate processes, and create novel analytical techniques.
Bankability of Concentrated Solar Power in India: A Plant-Configuration Case Study in Hyderabad, Bangalore, and Mumbai
This study evaluates options for deployment configurations of current CSP technologies that may decrease the LCOE or exploit other attributes of the technology that could make it a more attractive investment in India (e.g., shift the time of availability).
Techno-economic comparison of solar organic Rankine cycle (ORC) and photovoltaic (PV) systems with energy storage
- Solar field area & storage capacity was varied to assess impact on techno-economic performance of the two solar technologies.
- PV yielded a minimum LCOE of 0.12 USD/kWh and a CUF of 0.27.
- s-ORC yielded a minimum LCOE of 0.19 USD/kWh, with a CUF of 0.56.
Sunny Days with CSTEM PV
CSTEP's Techno-Economic Model for Photovoltaics (CSTEM PV) has been envisioned as a continuing initiative that aims to constructively support and be in line with India’s clean energy aspirations.
Modeling and analysis of solar thermal and biomass hybrid power plants
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Modeling was performed for solar thermal-biomass hybridization for power generation.
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Increment in capacity reduces the solar collector area per MW to 5,000 m2 (20 MW).
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Annual biomass requirement per MW reduced to 1600 tonnes at 20 MW scale.
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Hybrid mode of operation increases the plant capacity utilization from 23% to 47%.
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Cost of electricity by the hybrid plant is INR 6/kWh for plant capacities >5 MW.
Modeling of Solar and Biomass Hybrid Power Generation—a Techno-Economic Case Study
Solar power plants are expected to play a significant role in India’s power sector. The country plans to achieve an installed capacity of 100 GW by 2022. However, in a stand-alone mode, solar power plants are not able to deliver a consistent power supply, as per the demand requirement, to Electricity Supply Companies (ESCOMs). This is mainly because of the nature of intermittency associated with solar energy.
CSTEM PV 2
The Version 1 (V1) (which can be accessed here) of the CSTEP’s Solar Techno-Economic Model for Photovoltaics (CSTEM PV) was built under the US-India Partnership to Advance Clean Energy Research (PACE-R) for the Solar Energy Research Institute for India and the United States (SERIIUS). This initiative was jointly funded by the U.S. Department of Energy and the Government of India through the Department of Science and Technology.
CSTEP's Solar Techno-Economic Model for Photovoltaics (CSTEM PV): Solar and Financial Models
- This report aims to serve as a reference document for interested stakeholders who wish to obtain an in-depth understanding of the CSTEM PV tool.
Decision theatre for planning
This paper explain the necessity of a versaltile decision-support platform for renewable energy planning .
Research tools at CSTEP
A suite of tools to identify, analyse, and deploy renewable energy projects in India
IT Analysis and Roadmap for GESCOM
Information technology has become a powerful enabler of increased efficiency and
control in various business processes in all facets of human activity The power