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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 The benefit-cost analysis of standards to reduce vehicle greenhouse gas emissions and improve fuel economy by the U.S. Environmental Protection Agency (EPA) and the Department of Transportation (DOT) displays large net benefits from fuel savings for new vehicle buyers. This finding points to an energy efficiency gap: the energy-saving technology provided in private markets appears not to include all the technologies that produce net private benefits. The gap exists if the costs of energy-saving technologies are lower than the present value of fuel reductions, and “hidden costs” – undesirable aspects of the new technologies – do not exceed the net financial benefits. This study examines the existence of hidden costs in energy-saving technologies through a content analysis of auto reviews of model-year 2014 vehicles. Results suggest that it is possible to use fuel-saving technologies on vehicles without imposing hidden costs. For each technology examined, reviews with positive evaluations outnumbered those with negative evaluations. Evidence is scant of a robust relationship between vehicles’ use of energy-saving technologies and negatively rated operational characteristics, such as handling or acceleration. Results do not provide evidence for hidden costs as the explanation of the efficiency gap for vehicle fuel-saving technologies.

This paper analyses the impact of postponing global mitigation action on abatement costs and energy systems changes in China and India. It compares energy-system changes and mitigation costs from a global and two national energy-system models under two global emission pathways with medium likelihood of meeting the 2 °C target: a least-cost pathway and a pathway that postpones ambitious mitigation action, starting from the Copenhagen Accord pledges. Both pathways have similar 2010–2050 cumulative greenhouse gas emissions. The analysis shows that postponing mitigation action increases the lock-in in less energy efficient technologies and results in much higher cumulative mitigation costs. The models agree that carbon capture and storage (CCS) and nuclear energy are important mitigation technologies, while the shares of biofuels and other renewables vary largely over the models. Differences between India and China with respect to the timing of emission reductions and the choice of mitigation measures relate to differences in projections of rapid economic change, capital stock turnover and technological development. Furthermore, depending on the way it is implemented, climate policy could increase indoor air pollution, but it is likely to provide synergies for energy security. These relations should be taken into account when designing national climate policies.

Although CO2 Capture and Storage (CCS) is considered a key solution for CO2 emission mitigation, it is currently not economically feasible. CO2 enhanced oil recovery can play a significant role in stimulating CCS deployment because CO2 is used to extract additional quantities of oil. This study analyzes the investment decision of both a carbon emitting source and an oil company separately by adopting a real options approach. It is shown that when uncertainty is integrated in the economic analysis, CO2 and oil price threshold levels at which investments in CO2 capture and enhanced oil recovery will take place, are higher than when a net present value approach is adopted. We also demonstrate that a tax on CO2 instead of an emission trading system results in a lower investment threshold level for the investment in the CO2 capture unit. Furthermore, we determine a minimum CO2 selling price between the two firms and show that CO2-EOR has the potential to pull CCS into the market by providing an additional revenue on the capture plant. However, when CO2 permit prices are above an identifiable level, the EU ETS does not necessarily result in the adoption of CCS and stimulates oil production.

This paper illustrates the main results of an expert elicitation survey on advanced (second and third generation) biofuel technologies. The survey focuses on eliciting probabilistic information on the future costs of advanced biofuels and on the potential role of Research, Development and Demonstration (RD&D) efforts in reducing these costs and in supporting the deployment of biofuels in Organisation for Economic Co-operation and Development (OECD) and non-OECD countries. Fifteen leading experts from different EU member states provide insights on the future potential of advanced biofuel technologies both in terms of costs and diffusion. This information results in a number of policy recommendations with respect to public RD&D strategies and is an important contribution to the integrated assessment modelling community.

Abstract In modern developed economies, one of the primary objectives is to manage the transition from polluting to cleaner technologies as efficiently as possible. By now, in the current empirical literature, one can identify technological spillovers from environmental innovations as a major driver of this process. Specific energy policy aspects connected with industry behaviour have yet to be explored. The aim of this paper is to investigate energy efficiency via environmental innovation and the resulting degree of resilience and adaptation of both developed and developing countries. The work applies the non-parametric DEA (Data Envelopment Analysis) framework and Tobit analysis. For this scope, it is built a panel dataset made of some 5000 observations based on energy policy and sustainable development variables for 136 OECD and non-OECD countries. The results show that knowledge spillovers from environmental innovations reduce inefficiency and therefore strengthen the resilience of economies that decide and manage to invest adequately in the transition to more sustainable technologies. Besides, OECD countries improve their energy efficiency scores over time, whilst non-OECD countries do not. This implies that sustainable technologies transition is made more efficient by environmental innovation but the process is fostered by disposing of a resilient economic system – hence, vulnerability can affect the transition. These hypotheses lead to important economic, social and environmental implications for energy policy modelling.

The Product Development Team (PD) in the US Environmental Protection Agency's ENERGY STAR Labeling Program fuels the long-term market transformation process by delivering new specifications. PD's goal is to expand the reach and visibility of ENERGY STAR as well as the market for new energy-efficient products. As of 2002, PD has launched nine new ENERGY STAR specifications and continues to evaluate new program opportunities. To evaluate the ENERGY STAR potential for a diverse group of products, PD prepared a framework for developing new and updating existing specifications that rationalizes new product opportunities and draws upon the expertise and resources of other stakeholders. Manufacturers and stakeholders have a vested interest in understanding how ENERGY STAR products are selected for labeling. In this article, we explore in depth PD's process and also provide two case studies that illustrate the application of PD's framework. After 3 years of implementation, several lessons learned have emerged. Manufacturers are increasingly inquiring as to why a product is/is not labeled. Careful application of the framework allows PD to justify program decisions. PD increasingly recognizes that each industry has unique market and product characteristics that can require reconciliation with the guidelines of the ENERGY STAR program. Careful application of the framework identifies where reconciliation is needed to preserve the program integrity and justify decisions. Finally, to date, the application of the framework has enabled PD to navigate through complex product issues and make consistent specification development decisions.