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Electric vehicles (EVs) are fast evolving and their technological advancement is taking at a rapid pace. The performance usually depends upon two basic parameters for an EV, the range of the vehicle and energy consumption per kilometre for the vehicle. Drive cycles (DCs) play a major role in designing EVs. Many DCs are currently used such as the Indian drive cycle (IDC), New European Drive Cycle (NEDC), Worldwide Harmonised Light Vehicle Test Procedure (WLTP) to check the performance of vehicle in term of their emissions and working standards. This paper compares an electric two‐wheeler scooter with these standard DCs for range and energy consumption estimation and found out that the range obtained using NEDC drive cycle was 130 km in comparison with the IDC which was about 95 km. The paper also highlights the importance of good infrastructure of roads in India to optimize the driving range of the electric vehicle and also stresses the use of good cooling techniques of batteries for range enhancement of EVs. [ABSTRACT FROM AUTHOR]

Multicriteria mathematical modeling is an analytical framework for formally describing real‐life problems involving multiple and conflicting objectives. In the past decade, multicriteria decision‐making techniques have been applied in almost every area of the decision‐making including energy‐economic planning and sustainable development. Various mathematical and analytical models have been presented for the sustainable development planning and their assessment. In this paper, we discuss an approach related to multicriteria decision‐making and apply it for the assessment of the sustainable development goals of India by the year 2030. In the INDC report submitted to United Nations Framework Convention on Climate Change (2015, http://www..unfccc.int/submissions/INDC/Published%20Documents/India/1/INDIA%20INDC%20TO%20UNFCCC.pdf), India has identified many goals related to the sustainable development like energy consumption, greenhouse gas emissions, GVA growth, and an increase in the employment by the year 2030. This paper overcomes the energy resource allocation problem in related literature due to the lack of sectorial data for the same year by calculating the estimates for each sector for the year 2030. We presented a multicriteria decision‐making model which allocates public labor force in the key economic sectors of India. The presented model is validated with the data of the key economic sectors and their contribution in the identified goals. The paper provides a decision support for the better management of future sustainable policies by assessing the efficiencies of the current policies toward future sustainable goals. We evaluated the identified goals using the multicriteria decision‐making approaches so that the strategic planning can be implemented by the policy makers and to present a quantitative justification of planning strategies. [ABSTRACT FROM AUTHOR]

This paper investigates the association among energy consumption, carbon‐dioxide emission, and India's economic growth along with supplemental variables including foreign direct investment, population density, inflation, and agricultural land. An autoregressive distributive lag model is applied over annual time‐series data from 1985 to 2019. Further, the robustness and novelty of the model are confirmed by applying fully modified ordinary‐least‐square, dynamic ordinary‐least‐square, canonical co‐integrating regression, variance decomposition, and impulse response function. The analysis results indicate that a cointegration association exists among variables. In the short run, the profound determinants of economic development are energy consumption, carbon‐dioxide emission, inflation, and agricultural land. In the long run, both inflation and agricultural land significantly negatively influence economic growth while carbon emission drives a positive impact. Interestingly, a one‐way Granger causality runs from economic growth towards energy consumption, carbon emission, and agricultural land. The new research presents a comprehensive understanding of economic growth indicators, aiding policymakers, and advancing existing literature. Consequently, as a recommendation, the policymakers should constitute explicit goals for renewable energy consumption to stimulate sustainable economic growth with carbon emission reduction. [ABSTRACT FROM AUTHOR]

In this paper, we examined the relationship between renewable and non‐renewable energy consumption on CO2 emissions in India by taking disaggregated data from 1965 to 2018. In order to determine the effect of long‐run elasticity of independent variables on dependent variables, we have used ARDL bound testing approach. The directions of causality of the variables are investigated by Toda–Yamamoto Granger causality test. The long‐run results reveal that hydro energy consumption has a positive impact on CO2 emissions but not significant. However, nuclear energy consumption indicates that there is a negative effect on CO2 emissions. It reveals that all non‐renewable energy consumption sources have positive and significant effect on CO2 emissions. [ABSTRACT FROM AUTHOR]

India's transport sector has been growing faster than its GDP, contributing to rising energy demand from the sector. This, coupled with limited domestic production, has led to a rising import dependence of crude oil in particular, which stood at 83.4 per cent in 2013-14. In order to enhance India's energy security and manage demand from the sector, this paper analyses the factors influencing transport activity and the resulting energy demand from the transport sector. The paper also outlines a range of possible scenarios for transport sector demand in India till 2030-31 along with the potential energy use under these scenarios. [ABSTRACT FROM AUTHOR]

Summary: The concept of green computing is a step toward advanced information technology‐related data computations. There is an urgent need to develop sustainable mobile telecommunication networks subscribed by Telecommunication Regulatory Authority of India (TRAI). This paper aims at deploying major recommendations and directions in computing systems directed by regulating authorities. Green computing–based power‐saving policies include virtualization technique, power‐saving method, and recycling technique‐type solution components that we tried to embed in existing systems. The energy‐efficient green computing reserves the reliability and power of information‐driven technology. This research paper provides a comprehensive approach toward applying green mechanism by spotting the difference between energy consumption of current academic scenario and after embedding power‐saving policies of green computing. Moreover, an account has been maintained about the amount of energy preservation. The extraordinary energy‐ and cost‐saving features of green computing make environment sustainable and lively for future generations. [ABSTRACT FROM AUTHOR]

Motorisation in Asia is soaring with rapid growth in incomes non-lin-early. Even though car ownership per 1,000 population is still low in countries like China, India or Indonesia, escalating number of cars is affected by GDP growth among other infrastructural factors in a non-linear manner. This quick growth in car ownership may represent a significant implication on road transport fuel demand. This paper forecasts the demand for road transport fuel in India. For this purpose, econometric models, based on time series data, are constructed as for a major factor affecting fuel demand in road transportation i.e. car ownership. Firstly the econometric car ownership model was attempted in this study, for projecting future car stock in India based on cross section time series technique. The car stock is modelled by using three functional forms, which are the logistic, quasi-logistic and Gompertz curves. However, to take into consideration countries with different income levels in that part of the world, these models were estimated by using pooled data of seven Asian countries (Japan, China, South Korea, Thailand, Indonesia, Malaysia and India). Then, a set of fuel consumption scenarios were developed in order to make forecast until 2030. These scenarios were generated by taking into consideration car stock, fuel efficiency and the average distance travelled in India. [ABSTRACT FROM AUTHOR]

Thanks to the continuous implementation of liberalisation and reforms, the Indian economy has become a significant energy consumer. Further, the fast growing economy is expected to result in massive and unprecedented growth in energy consumption in India. This is sure to have important ramifications for the domestic energy sector, as well as global energy market. At the domestic level, this resulted in new discoveries of hydrocarbon resources. However, the growth in energy consumption is so high that the old, as well as newly discovered hydrocarbon resources would not be able to fulfil the growing demand for energy in the Indian economy. Hence, Indian economy would remain dependent on the global market for the supply of hydrocarbon resources. India has been adopting various strategies to manage her energy requirement and Natural gas is slated to play an important role in India's energy management. This paper therefore, attempts to study the importance of natural gas in this context. [ABSTRACT FROM AUTHOR]

To redress the problem of poor electricity access in rural India, even after 50 years of sustained electrification effort has proved to be a challenging task. And in order to address this problem, India launched a massive rural electrification programme in April 2005 with an objective of achieving universal household electrification by 2012. This short paper discusses the issues facing this programme and suggests that unless the risks are carefully mitigated, the programme may not succeed in achieving its principal objectives. [ABSTRACT FROM AUTHOR]

This paper empirically studies the impact of energy consumption, financial development, and trade openness on India's carbon emission for 1971 to 2014 and validates the environmental Kuznets curve hypothesis for India. The Autoregressive Distributed‐lagged model (ARDL) bound test is used to test the existence of cointegration among the key variables. The results exhibit a U‐shaped relationship between carbon emission and energy consumption in the long run. Through this study, we find out the maximum threshold value of energy consumption per capita to 757 kg of oil equivalent, which is above the current consumptions levels—indicating a rise in carbon emission shortly. Further, the long‐run results show that a 1% increase in trade openness will decrease carbon emission by 0.11%, which is a display of technological effect over scale effect and composition effect. Financial development does not exhibit a significant relation to carbon emission. The results are in line with the literature on climate change in emerging countries. This empirical work gives some insight into policy issues that have to be looked into further. [ABSTRACT FROM AUTHOR]