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Present day India has tremendous energy requirements, and with each day it is becoming more difficult to meet those needs through conventional power sources. The never-ending demand of population which is growing exponentially has become very tough to fulfill. To enhance its energy security, mitigate carbon emissions and augment its economic development, it becomes an urgent need to implement innovative policies and mechanisms for the adoption of green and clean energy. India because of its demographics has good solar energy potential. This study aims to examine the solar power implementations in thermal power plants situated all across India. This paper contributes to the literature on solar power by identification of barriers for the adoption of solar power in thermal plants. Still, there is some lack of study about solar power implementations in different areas. In this paper, investigating efforts have been made to examine the solar power implementations in thermal power plants within the Indian context by identifying key barriers. In this study, Interpretative Structural Modeling (ISM) has been adopted to find the contextual relationships among key barriers and Matriced'Impacts Croises- Multiplication Applique' an Classment (MICMAC) analysis has been carried out for validation of the model. Requirement of gigantic investment, longer recovery period, safety implications, environmental implications, and societal concerns emerge at the top level in ISM structure. Lack of adequate government policies and lack of political leadership appears at the bottom of a structured model and these emerged as the most influential barriers. This research also suggested how to mitigate the key barriers by the installation of solar power in electricity generation utilities. • Identify and evaluate nineteen barriers which influence the development of solar power in Indian thermal power sector. • Establish ISM hierarchy structure to show the contextual relationships among the barriers. • MICMAC technique is conceded for validation of the established ISM model. • Suggestions are proposed to mitigate the key barriers for the development of solar power in electricity generation utilities. [ABSTRACT FROM AUTHOR]

Concentrating Solar Power (CSP) plants can make a significant contribution to renewable energy supply in many regions of the world. Several bottom-up engineering performance models for CSP plants have been developed. However, they require the capacity of the plant to be known. In whole-of-grid optimization models, the capacity of the plants is an optimization variable and therefore not known in advance. In this case, researchers have taken a simplified modelling approach that overestimated CSP performance, especially for low-DNI conditions. In this paper, we offer a novel density-based engineering modelling approach in which CSP performance is determined independently of the capacity of the power plant, and which can be used in whole-of-grid optimization models. We investigate a case study of the site of the new Aurora CSP project in Port Augusta, South Australia, to be one of the world's largest solar thermal power plants by 2020. Using a Geographical Information System (GIS)-grid representation of Australia, we compare CSP performance resulting from a simplified model with our new approach. • A novel density-based engineering modelling approach for Concentrating Solar Power (CSP) plants. • CSP performance is determined independently of the capacity of the power plant. • The approach can be used in whole-of-grid optimisation models. • We investigate the site of the new Aurora CSP project in Port Augusta, South Australia to be constructed by 2020. • The new approach is compared to the simplified description of CSP performance, using a GIS-grid representation of Australia. [ABSTRACT FROM AUTHOR]