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The authors present a dynamic model of potential growth for various energy sources.

The authors find that greenhouse gases could be reduced by 25% using carbon taxes in India, focusing on three major power sources.

Byline: Archak Patnayak, Narendra Kumar Bansal, Jyotirmay Mathur Energy analysis of a production unit helps to quantify the energy consumed at different stages, thus providing estimates of energy and material wastage, if any. From the general principles of energy analysis involving mass conversion efficiencies and the energy inputs at various stages of the production process of a motorcycle producing industry, namely Honda Motorcycle and Scooter India Pvt. Limited (HMSI), a methodology has been evolved to conduct a detailed energy analysis leading to the energy content (primary energy consumption per unit weight of the product) of the motorcycle. To facilitate the energy analysis, the whole production process has been divided into three main sub-processes, namely, frame production, engine production, and the assembly and inspection stages. Confining to the energy and material input within the premises of the industry, the energy content of the vehicle has been found to be 12.24 MJ/kg of vehicle weight. Out of the three stages, the frame manufacturing stage is found to be most energy intensive. Within frame manufacturing, the paint shop itself accounted for 87% of energy consumption. The results of this analysis, besides their use for identification of energy intensive areas, can also be used for conducting life cycle analysis.

Byline: Jyotirmay Mathur, Narendra Kumar Bansal, Hermann-Joseh Wagner For the investigation of the optimum technology mix of any country, which is clearly an issue of dynamic nature, technological learning and economies of scale play a significant role. Hence, in this paper's long term planning exercise for the Indian power sector (2000-2025), our simulation analysis specifically includes the impacts of technological learning on the optimal inter-temporal choice of power generation technologies. Based on dynamic linear programming methods and MARKAL, a software tool for power generation capacity planning, the most significant result of our analysis is that among various renewable energy technologies, technological learning will favour wind and small hydropower generation, while pressurised fluidised bed combustion-based coal power plants appear to be the favourite conventional fossil fuel-based technology in India.