Long-term U.S transportation electricity use considering the effect of autonomous-vehicles: Estimates & policy observations

In this paper, we model three layers of transportation disruption – first electrification, then autonomy, and finally sharing and pooling – in order to project transportation electricity demand and greenhouse gas emissions in the United States to 2050. Using an expanded kaya identity framework, we model vehicle stock, energy intensity, and vehicle miles traveled, progressively considering the effects of each of these three disruptions. We find that electricity use from light duty vehicle transport will likely be in the 570–1140 TWh range, 13–26%, respectively, of total electricity demand in 2050. Depending on the pace at which the electric sector decarbonizes, this increase in electric demand could correspond to a decrease in LDV greenhouse gas emissions of up to 80%. In the near term, rapid and complete transport electrification with a carbon-free grid should remain the cornerstones of transport decarbonization policy. However, long-term policy should also aim to mitigate autonomous vehicles’ potential to increase driving mileage, urban and suburban sprawl, and traffic congestion while incentivizing potential energy efficiency improvements through both better system management and the lightweighting of an accident-free vehicle fleet

Utilizing Highway Rest Areas for Electric Vehicle Charging: Economics and Impacts on Renewable Energy Penetration in California

California policy is incentivizing rapid adoption of zero emission electric vehicles for light-duty and freight applications. This project explored how locating charging facilities at California’s highway rest stops might impact electricity demand, grid operation, and integration of renewables like solar and wind into California’s energy mix. Assuming a growing population of electric vehicles to meet state goals, state-wide growth of electricity demand was estimated, and the most attractive rest stop locations for siting chargers identified. Using a California-specific electricity dispatch model developed at UC Davis, the project estimated how charging vehicles at these stations would impact renewable energy curtailment in California. It estimated the impacts of charging infrastructures on California’s electricity system and how they can be utilized to decrease the duck curve effect resulting from a large amount of solar energy penetration by 2050.View the NCST Project Webpag

Economic Effects of Renewable Energy Expansion: A Model-Based Analysis for Germany

Increasing utilization of renewable energy sources (RES) is a priority worldwide. Germany has been a forerunner in the deployment of RES and has ambitious goals for the future. The support and use of renewables affects the economy: It creates business opportunities in sectors producing renewable energy facilities, but also comes along with costs for supporting the deployment of renewables. This paper analyses and quantifies the net balance of economic effects associated with renewable energy deployment in Germany until 2030. To this end, we use a novel model, the 'Sectoral Energy-Economic Econometric Model' (SEEEM). SEEEM is an econometric multi-country model which, for Germany, contains a detailed representation of industries, including 14 renewable energy technology sectors. Our results show that renewable energy expansion can be achieved without compromising growth or employment. The analysis reveals a positive net effect on economic growth in Germany. Net employment effects are positive. Their size depends strongly on labour market conditions and policies. Results at the industry level indicate the size and direction of the need for restructuring across the sectors of the Germany economy.

Potential for cogeneration of heat and electricity in California industry, phase 2

The nontechnical issues of industrial cogeneration for 12 California firms were analyzed under three categories of institutional settings: (1) industrial ownership without firm sales of power; (2) industrial ownership with firm sales of power; and (3) utility or third party ownership. Institutional issues were analyzed from the independent viewpoints of the primary parties of interest: the industrial firms, the electric utilities and the California Public utilities Commission. Air quality regulations and the agencies responsible for their promulgation were examined, and a life cycle costing model was used to evaluate the economic merits of representative conceptual cogeneration systems at these sites. Specific recommendations were made for mitigating measures and regulatory action relevant to industrial cogeneration in California

Energy demand models for policy formulation : a comparative study of energy demand models

This paper critically reviews existing energy demand forecasting methodologies highlighting the methodological diversities and developments over the past four decades in order to investigate whether the existing energy demand models are appropriate for capturing the specific features of developing countries. The study finds that two types of approaches, econometric and end-use accounting, are used in the existing energy demand models. Although energy demand models have greatly evolved since the early 1970s, key issues such as the poor-rich and urban-rural divides, traditional energy resources, and differentiation between commercial and non-commercial energy commodities are often poorly reflected in these models. While the end-use energy accounting models with detailed sector representations produce more realistic projections compared with the econometric models, they still suffer from huge data deficiencies especially in developing countries. Development and maintenance of more detailed energy databases, further development of models to better reflect developing country context, and institutionalizing the modeling capacity in developing countries are the key requirements for energy demand modeling to deliver richer and more reliable input to policy formulation in developing countries.Energy Production and Transportation,Energy Demand,Environment and Energy Efficiency,Energy and Environment,Economic Theory&Research

Open-Source, Open-Architecture SoftwarePlatform for Plug-InElectric Vehicle SmartCharging in California

This interdisciplinary eXtensible Building Operating System–Vehicles project focuses on controlling plug-in electric vehicle charging at residential and small commercial settings using a novel and flexible open-source, open-architecture charge communication and control platform. The platform provides smart charging functionalities and benefits to the utility, homes, and businesses.This project investigates four important areas of vehicle-grid integration research, integrating technical as well as social and behavioral dimensions: smart charging user needs assessment, advanced load control platform development and testing, smart charging impacts, benefits to the power grid, and smart charging ratepayer benefits

The Economic and Budgetary Effects of Producing Oil and Natural Gas From Shale

[Excerpt] Recent advances in combining two drilling techniques, hydraulic fracturing and horizontal drilling, have allowed access to large deposits of shale resources—that is, crude oil and natural gas trapped in shale and certain other dense rock formations. As a result, the cost of that “tight oil” and “shale gas” has become competitive with the cost of oil and gas extracted from other sources. Virtually nonexistent a decade ago, the development of shale resources has boomed in the United States, producing about 3.5 million barrels of tight oil per day and about 9.5 trillion cubic feet (Tcf) of shale gas per year. Those amounts equal about 30 percent of U.S. production of liquid fuels (which include crude oil, biofuels, and natural gas liquids) and 40 percent of U.S. production of natural gas. Shale development has also affected the federal budget, chiefly by increasing tax revenues. The production of tight oil and shale gas will continue to grow over the next 10 years—by about 30 percent and about 60 percent, respectively, according to a recent projection by the Energy Information Administration (EIA). Another EIA estimate shows that the amount of tight oil and shale gas in the United States that could be extracted with today’s technology would satisfy domestic oil consumption at current rates for approximately 8 years and domestic gas consumption for 25

Vintage-Differentiated Environmental Regulation

Vintage-differentiated regulation (VDR) is a common feature of many environmental and other regulatory policies in the United States. Under VDR, standards for regulated units are fixed in terms of the units’ respective dates of entry, or “vintage,” with later entrants facing more stringent regulation. In the most common application, often referred to as “grandfathering,” units produced prior to a specific date are exempted from new regulation or face less stringent requirements. The vintage-differentiated approach has long appealed to many participants in the policy community, for reasons associated with efficiency, equity, and simple politics. First, it is frequently more cost-effective—in the short-term—to introduce new pollutionabatement technologies at the time that new plants are constructed than to retrofit older facilities with such technologies. Second, it seems more fair to avoid changing the rules of the game in mid-stream, and hence to apply new standards only to new plants. Third, political pressures tend to favor easily-identified existing facilities rather than undefined potential facilities. On the other hand, VDRs can be expected—on the basis of standard investment theory—to retard turnover in the capital stock (of durable plants and equipment), and thereby to reduce the cost-effectiveness of regulation in the long-term, compared with equivalent undifferentiated regulations.1 A further irony is that, when this slower turnover results in delayed adoption of new, cleaner technology, VDR can result in higher levels of pollutant emissions than would occur in the absence of regulation. In this Article, I survey previous applications and synthesize current thinking regarding VDRs in the environmental realm, and develop lessons for public policy and for future research. In Part 2, I describe the ubiquitous nature of VDRs in U.S. regulatory policy, and examine the reasons why VDRs are so common. In Part 3, I establish a theoretical framework for analysis of the cost-effectiveness of alternative types of environmental policy instruments to provide a context for the analysis of VDRs. In Part 4, I focus on the effects of VDRs, and describe a general theory of the impacts of these instruments in terms of their effects on technology adoption, capital turnover, pollution abatement costs, and environmental performance. In Parts 5 and 6, I examine empirical analyses of the impacts of VDRs in two significant sectors: Part 5 focuses on the effects of VDRs in the U.S. auto industry, and Part 6 on the effects of new source review, which is a form of VDR, in power generation and other sectors. In Part 7, I examine implications for policy and research, and recommend avenues for improvements in both.