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This paper uses neoclassical microeconomic theory to investigate the demand for energy and interfuel substitution in India at the sectoral level. It makes full use of the relevant economic theory and econometrics and generates inference in terms of Allen and Morishima elasticities of substitution that are internally consistent with the data and nonlinear models used. The results indicate that the interfuel substitution elasticities are consistently below unity in the household and power sectors, revealing the limited ability to substitute between major energy commodities in these two sectors. However, significant substitution relationships are found in the industrial and transportation sectors, suggesting that energy price changes in these sectors will significantly shift the demand for energy and consumption. Based on measured elasticities of substitution, we also discuss implications of energy price shocks on inflation and inflation targeting strategies by the central bank. [ABSTRACT FROM AUTHOR]

As the exhaust rate of the conventional sources has geared up already, this is compelling the power industries to install the power plants based on the non-conventional sources so that future demand of the energy supply can be fulfilled. Among the various sources of renewable energy like wind, hydro, tidal etc., solar energy is the most easily accessible and available renewable energy source. Ensuring the feasibility of any energy source not only technical but also the economical perspective is the most important criteria. This paper has incorporated both the perspective and has done the techno-economic analysis to determine the optimum combination of the PV array size and battery size to minimize the overall electricity generation per unit. In this paper, a standalone solar PV system has been analyzed for the location of Jamshedpur, where an effort has been done to choose the optimum combination of the solar array and battery size within the desired range of LLP so that the electricity generation cost per unit can be minimized. The overall duration of the analysis has been done for a year and the outcome of the research has been verified with the help of MATLAB software. [ABSTRACT FROM AUTHOR]

The consumption of energy has always been in exponential growth and also there is always an increasing demand in the requirement of energy in some way or the other. So, there is a need to search for energy availability from alternate sources of energy. The utilization of waste energy of foot power with human locomotion is relevant and important for highly populated countries like India where the railway station, temples, etc., are overcrowded all round the clock. When the flooring is engineered with piezoelectric technology, the electrical energy produced by the pressure is captured by floor sensors and converted to an electrical charge by piezo transducers, then stored and used as a power source. This paper deals with the generation of alternate sources of energy through piezoelectric materials. This research describes the use of piezoelectric materials to harvest energy from people walking vibration for generating and accumulating energy. This study also studies the perceptions and adaptability of piezoelectricity. The adaptability of piezoelectric technology in a real-time environment has been studied by comparing the overall cost of generating electricity with solar energy. This study also suggests a footstep of the piezoelectric energy harvesting model which is cost-effective and easy to implement. [ABSTRACT FROM AUTHOR]

Rapid development in technology provides an emerging growth based on innovation, invention, and diffusion, where the diffusion of resources stands with the proper disposal of wastes, due to the over-utilization of resources, growing population growth, and migration increases the accumulation of wastes especially, in Indian cities. Therefore, managing the wastes effectively is a raising challenge in the metropolitan cities of India, where the continuous monitoring of the wastes and disposal needs to be initiated. In this research, an internet-of-things-based smart waste management system in smart cities (IoT-SWMS) is focused on proposing an optimal path selection protocol that facilitates the continuous monitoring and disposal of wastes. The proposed optimal path selection protocol named Seline trustworthy optimization developed to determine the optimal routing path in IoT network renders the faster communication of the collected data regarding the level of the dustbins, which is disposed properly at the right time. The analysis of the proposed Seline trustworthy optimization-based IoT network for SWMS is performed based on the performance measures, such as delay, throughput, energy, and Packet Delivery Ratio (PDR) in comparison with the traditional methods. The proposed methodology yields the maximal PDR of 99%, a minimum delay of 0.11 s, and a maximal throughput of 38,400 kbps. [ABSTRACT FROM AUTHOR]