Abstract In this paper, conventional and renewable energy sources for sustainable development of ... more Abstract In this paper, conventional and renewable energy sources for sustainable development of energy sector in India are evaluated from multiple perspectives including economic, technical, social, environmental, political, and flexible criteria. An integrated Shannon’s entropy multi-criteria decision making (MCDM) method has been used for the evaluation and assessment of these sources. Thermal, gas, nuclear, solar, wind, biomass, and hydro energy options are used as the alternatives in the decision model. Shannon’s entropy method is applied to determine the weights of decision criteria, and fuzzy analytical hierarchy process (AHP) method is applied to prioritize sustainable energy alternatives. The output of the proposed model was compared with six different fuzzy MCDM techniques for the establishment of correlation index. Solar energy was shown to be particularly well suited for India followed by wind and hydro energy sources. Later, the study has developed fourteen scenarios, considering the first five sustainable energy sources (solar, wind, hydro, biomass, and gas power), to evaluate the optimal energy mix scenario for the sustainable development of energy sector in India. An optimal energy mix scenario carries the heroic development of solar, wind, and hydro energy with cross border import-export facility for the time frame of the year 2030.
Purpose Environmental crisis and energy security concerns forced researchers, environmentalists a... more Purpose Environmental crisis and energy security concerns forced researchers, environmentalists and industrialists to look for a cleaner mode of transportation. Rigorous efforts have been made to make electric vehicles (EVs) feasible for commercial use. However, despite of many efforts by the Government of India, the rate of adoption of EVs in India has not been up to the mark. To bridge this gap, present study understands the social acceptability and sustainability of EVs and identifies the social factors, builds inferences from the results obtained and helps in orienting the manufacturers and decision makers towards faster adoption of the EVs. Design/methodology/approach The social factors responsible for the growth of EVs in India are identified by literature survey. A questionnaire has been developed for understanding the customer’s perception towards EVs. The results of the survey are analysed using the tools on descriptive statistics, structural equation model using Statistica...
2020 IEEE International Power and Renewable Energy Conference, 2020
The Indian Automobile Industry is the 5th largest in the world. India, in its effort to switch to... more The Indian Automobile Industry is the 5th largest in the world. India, in its effort to switch to electric vehicles and reduce its carbon emissions, launched the National Electric Mobility Mission Plan 2020 in 2013. It formulated the Faster Adoption and Manufacturing of (Hybrid &) Electric Vehicles in India (FAME India) scheme in 2015 to promote the manufacturing of electric and hybrid vehicle technology and to ensure sustainable growth of the same. However, the adoption rate was not satisfactory. One of the main reasons for the slow pace of adoption of electric vehicles by the customers was the lack of supporting charging infrastructure. In order to plan for charging stations, it is important to forecast the energy demand and design the system using renewable sources of energy. This paper proposes a renewable energy model for charging stations that can be implemented in the pilot city of New Delhi. A software tool, Hybrid Optimization of Multiple Energy Resources (HOMER) is used for the simulation and analysis.
Abstract In this paper, conventional and renewable energy sources for sustainable development of ... more Abstract In this paper, conventional and renewable energy sources for sustainable development of energy sector in India are evaluated from multiple perspectives including economic, technical, social, environmental, political, and flexible criteria. An integrated Shannon’s entropy multi-criteria decision making (MCDM) method has been used for the evaluation and assessment of these sources. Thermal, gas, nuclear, solar, wind, biomass, and hydro energy options are used as the alternatives in the decision model. Shannon’s entropy method is applied to determine the weights of decision criteria, and fuzzy analytical hierarchy process (AHP) method is applied to prioritize sustainable energy alternatives. The output of the proposed model was compared with six different fuzzy MCDM techniques for the establishment of correlation index. Solar energy was shown to be particularly well suited for India followed by wind and hydro energy sources. Later, the study has developed fourteen scenarios, considering the first five sustainable energy sources (solar, wind, hydro, biomass, and gas power), to evaluate the optimal energy mix scenario for the sustainable development of energy sector in India. An optimal energy mix scenario carries the heroic development of solar, wind, and hydro energy with cross border import-export facility for the time frame of the year 2030.
Purpose Environmental crisis and energy security concerns forced researchers, environmentalists a... more Purpose Environmental crisis and energy security concerns forced researchers, environmentalists and industrialists to look for a cleaner mode of transportation. Rigorous efforts have been made to make electric vehicles (EVs) feasible for commercial use. However, despite of many efforts by the Government of India, the rate of adoption of EVs in India has not been up to the mark. To bridge this gap, present study understands the social acceptability and sustainability of EVs and identifies the social factors, builds inferences from the results obtained and helps in orienting the manufacturers and decision makers towards faster adoption of the EVs. Design/methodology/approach The social factors responsible for the growth of EVs in India are identified by literature survey. A questionnaire has been developed for understanding the customer’s perception towards EVs. The results of the survey are analysed using the tools on descriptive statistics, structural equation model using Statistica...
2020 IEEE International Power and Renewable Energy Conference, 2020
The Indian Automobile Industry is the 5th largest in the world. India, in its effort to switch to... more The Indian Automobile Industry is the 5th largest in the world. India, in its effort to switch to electric vehicles and reduce its carbon emissions, launched the National Electric Mobility Mission Plan 2020 in 2013. It formulated the Faster Adoption and Manufacturing of (Hybrid &) Electric Vehicles in India (FAME India) scheme in 2015 to promote the manufacturing of electric and hybrid vehicle technology and to ensure sustainable growth of the same. However, the adoption rate was not satisfactory. One of the main reasons for the slow pace of adoption of electric vehicles by the customers was the lack of supporting charging infrastructure. In order to plan for charging stations, it is important to forecast the energy demand and design the system using renewable sources of energy. This paper proposes a renewable energy model for charging stations that can be implemented in the pilot city of New Delhi. A software tool, Hybrid Optimization of Multiple Energy Resources (HOMER) is used for the simulation and analysis.
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Papers by Abhijeet Digalwar