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Abstract Numerous countries have set up strategic petroleum reserves (SPRs) in response to oil disruptions since 1970. While numerous studies model such programs, we found few that evaluate SPRs' historical performance. Thus, we evaluate the U.S. SPR's performance by comparing actual real costs with estimated real benefits. From 1976 to 2014, the real U.S. SPR cost was about $219 billion real (2014$) dollars, whereas the real benefit was only $122 billion. Sensitivity testing suggests such negative net benefits are qualitatively robust. However, if world oil demand is extremely inelastic to oil price or GDP is elastic enough to oil price shocks, the estimated U.S. SPR net benefit is positive. Sensitivity testing around total real costs and benefits range from $380 billion to $80 billion. Limited testing of IEA coordinated drawdowns suggests that total U.S. benefits jump from $122 billion to more than $400 billion putting the SPR strongly in the black. Limited testing of private sector inventory changes was more disappointing and tentatively suggests private activities may at times have offset some of the government drawdowns. With 20-20 hindsight, initial experimentation found that better management could have significantly enhanced the value of the U.S. SPR, especially for the 1990-91 disruption.

Abstract This paper analyzes the energy consumption behavior of urban households in Nepal during the energy crisis induced by the unofficial Indian economic blockade in 2015. Our findings suggest that urban households have a smaller marginal utility attached to the consumption of one more unit of electricity relative to other dirty energy sources like firewood. The 2015 economic blockade had some deteriorating impacts on a household fuel choice as they were forced to degrade to firewood for cooking. However, to some extent, the blockade also seems to have acted as a push factor for some households towards cleaner sources like electricity largely due to the distrust in the supply of petroleum fuels. There is a variation in energy consumption behavior of households, which is explained by different demographic and socioeconomic attributes of the household. Households with a better educated head and those headed by a female are generally more amenable to cleaner fuels such as electricity. On the other hand, larger households and those residing outside the Kathmandu valley are less likely to make the jump to cleaner fuels. House ownership and number of rooms used were found to have no significant association with the energy consumption behavior of households residing in urban Nepal.

Abstract Given the need to reduce the CO2 emissions coming from the manufacturing sector, it is important, for planning purposes, to know which countries and which manufacturing sub-sectors have the greatest potential for reducing energy use. Using data from the International Atomic Energy Agency and the United Nations Industrial Development Organization, the authors estimate trends in global decoupling of energy use and manufacturing value added, compare energy-use intensity in six country groups and estimate the potential for reducing energy use and CO2 emissions under two scenarios and compare selected sub-sector energy intensity and estimate the potential for reducing energy use CO2 emissions. The comparison of energy intensities across country groups and among countries suggests that there still remains significant potential to reduce energy use and associated CO2 emissions. The analysis of four sub-sectors in developing and transition economies also shows similar but varied potential for reducing energy use and associated CO2 emissions.

Abstract The construction time of PWRs is studied considering published data about nuclear power plants in the world. For the 268 PWRs in operation in 2010, the mode of the construction time distribution is around 5–6 years, and 80% of the plants were built in less than 120 months. To circumvent the problem of comparing plants with different size we normalized the construction time to plants with 1 GW. We restricted the analysis to 201 PWRs which suffered less from external factors that were beyond the control of the management from 1965 to 2010. The results showed that the normalized construction time did not increase over the years and nor with the plants’ gross power level. The learning rate of the industry regarding normalized construction times showed a reduction with 95% confidence level of about 0.56±0.07 months for each 10 GW of installed capacity. Over the years the normalized construction time decreased and became more predictable. The data showed that countries with more centralized regulatory, construction and operation environments were able to build PWRs in shorter times. Countries less experienced with the nuclear technology built PWRs in longer times.

Abstract Like cities, many large national parks in the United States often include “urban” visitor and residential areas that mostly demand (rather than produce) energy and key urban materials. The U.S. National Park Service has committed to quantifying and reducing scopes 1 and 2 emissions by 35% and scope 3 emissions by 10% by 2020 for all parks. Current inventories however do not provide the specificity or granularity to evaluate solutions that address fundamental inefficiencies in these inventories. By quantifying and comparing the importance of different inventory sectors as well as upstream and downstream emissions in Yosemite National Park (YNP), this carbon footprint provides a case study and potential template for quantifying future emissions reductions, and for evaluating tradeoffs between them. Results indicate that visitor-related emissions comprise the largest fraction of the Yosemite carbon footprint, and that increases in annual visitation (3.43–3.90 million) coincide with and likely drive interannual increases in the magnitude of Yosemite′s extended inventory (126,000–130,000 t CO2e). Given this, it is recommended that “per visitor” efficiency be used as a metric to track progress. In this respect, YNP has annually decreased kilograms of GHG emissions per visitor from 36.58 (2008) to 32.90 (2011). We discuss opportunities for reducing this measure further.

Abstract Technological progress is an effective way to improve electricity efficiency. Due to the existence of the rebound effect, it is of great significance to optimize the technical power saving policy by examining the rebound effect caused by different technological progress paths.Based on the panel data of electricity industry in 30 provinces of China from 1997 to 2013, this paper systematically examines the rebound effects of electricity consumption under the two sources of technological progress, namely independent innovation and technology import. Then, it discusses the impact of coal-electricity linkage policy. The empirical results are as follows: (1) without considering rebound effect, independent innovation significantly promotes electricity conservation, while the effects of technology import is not obvious; (2) when considering the rebound effect, electricity price declining driven by independent innovation is not conducive to electricity saving, while electricity price declining driven by technology import has an electricity-saving effect; (3)The coal-electricity linkage policy that began in 2004 not only reduced the rebound effect by increasing the flexibility of electricity prices to a certain extent and improved the electricity-saving effect of independent innovation, but also reduced the electricity-saving effect of technology import.

Abstract We evaluate the contribution of technological change in reducing CO 2 emissions in the Italian pulp and paper industry during the first and second phases of application of the European Union Emission Trading System (EU-ETS). We decompose the variation in emission and emission intensity into three different types of effects: a composition effect, a technique effect and a scale effect. The composition effect measures the change in emissions and emissions intensity due to a shift in production towards products that cause less emissions. The technique effect measures the change per each type of product, thereby accounting for technology improvements in the production of each type of good produced. The scale effect singles out the reduction in total emission due to an overall reduction in output. We show that the first phase of the application of EU-ETS has led to a reduction in both emissions and emission intensity due to the composition effect. The technological change has had a limited negative impact on emissions in the first phase, while in the second phase there has been limited technology improvement in the industry. However, the figures of the scale effect show that the larger reduction in emission is due to the overall decrease in output.