Modelling transport fuel pathways: Achieving cost-effective oil use reduction in passenger cars in Sweden

Several technology and fuel options could be used to lower the strong oil dependence of the transportation sector. To formulate policies and to cost-effectively meet oil reduction objectives, assessments and comparisons of the long-term economic performances of different technology trajectories are essential. In this work, the energy and technology costs associated with reducing oil consumption in passenger cars in Sweden are calculated for a number of possible future transport fuel pathways and for different energy prices and climate policies. An optimisation model is applied in a simulatory multiple-run approach for this purpose. The model encompasses the transportation sector, as well as the stationary energy system. In terms of results, a methanol-based pathway gives incremental system costs in the range of ? 0.9–3 billion EUR for a complete phase-out of passenger car oil up to 2030. As compared to the methanol pathway, other biomass gasification-based fuel pathways involve additional incremental system costs in the region of 3 billion EUR, whereas ethanol- and electricity-based pathways give additional incremental system costs of 4–5 billion EUR. At lower oil reduction levels, the cost differences between the pathways are smaller and the electricity-based pathway is significantly more cost-competitive.     

Optimal Timing of CCS Policies with Heterogeneous Energy Consumption Sectors

Using the Chakravorty et al. (J Econ Dyn Control 30:2875–2904, 2006) ceiling model, we characterize the optimal consumption paths of three energy resources: dirty oil, which is non-renewable and carbon emitting; clean oil, which is also non-renewable but carbon-free thanks to an abatement technology, and solar energy, which is renewable and carbon-free. The resulting energy-mix can supply the energy needs of two sectors. These sectors differ in the additional abatement cost they have to pay for consuming clean rather than dirty oil, as Sector 1 (industry) can abate its emissions at a lower cost than Sector 2 (transport). We show that it is optimal to begin by fully capturing Sector 1’s emissions before the ceiling is reached. Also, there may be optimal paths along which the capture devices of both sectors must be activated. In this case, Sector’s 1 emissions are fully abated first, before Sector 2 abates partially. Finally, we discuss the way heterogeneity of abatement costs causes sectoral energy price paths to differ.     

OIL PRICE VOLATILITY AND U.S. MACROECONOMIC PERFORMANCE

This study uses a model with explicit energy sector linkages to estimate the macroeconomic impacts of the 1986 collapse in energy prices. The model combines features of neoclassical macroeconomics to estimate final demand spending and of general equilibrium analysis to estimate substitution possibilities. The model allows price and wage rigidities yet permits interfuel and input substitutions. The simulation results suggest three conclusions. First, the most significant macroeconomic impact of the 1986 oil price reduction is the sharp drop in inflation. Second, output and employment gains are relatively small due to the sharp drop in energy sector output. Finally, the estimated gain in real output due to lower energy prices is close to the output loss resulting from the trade deficit increase during 1986. This may be one reason why no substantial increase in economic growth occurred following the 1986 collapse in energy prices.     

Let There Be Light: Social Enterprise,Solar Power,and Sustainable Development

Energy poverty is a major problem in the developing world, with nearly 1.3 billion people lacking household electricity. Strikingly, the electrification rate is not only low, but is falling in many countries as population growth outpaces efforts to give more people access to electricity. Seizing the opportunities presented by rapid changes in technology and the availability of renewable energy at continually falling costs, social enterprises have begun to light the darkness and fill in the gap between the public and private provision of electricity. We review the extent of energy poverty and explain why neither the public, nor the private sector has successfully addressed this problem. We also discuss institutional factors that have created an environment conducive to the spread of solar power. To illustrate the social enterprise response, we explain the sector’s three most common approaches to solar electrification. Since the potential benefits of any social innovation revolve around its scalability, we discuss various paths to scale before outlining A.T. Kearney’s “Social Enterprise Accelerator” model as a template for scaling up individual social businesses. To enable greater consistency with an institutional economic framework, we suggest an adaptation of the model. We conclude by highlighting potential benefits and challenges facing solar electrification, including the limits of social enterprise as a stand-alone solution to utility provision.     

The effect of technology choice on specialization and welfare in a two‐country model

This study presents a simple two‐country model in which firms in the manufacturing sector can choose a technology level (high or low). We show how trade costs and productivity levels affect technology choices by the firms in each country, where the fixed cost of adopting high technology differs between the two countries. This depends on the productivity level of the high technology. In particular, if the productivity of high technology is medium and trade costs are not too low, then a technology gap between countries arises. In this case, improving the productivity of the high technology country reduces the welfare level of consumers in the country in which low technology is adopted. To compensate for the welfare loss of the country from the technological improvement, trade costs should be reduced.     

Mineral resources for renewable energy: Optimal timing of energy production

The production of energy from renewable sources is much more intensive in minerals than that from fossil resources. The scarcity of certain minerals limits the potential for substituting renewable energy for scarce fossil resources. However, minerals can be recycled, while fossil resources cannot. We develop an intertemporal model to study the dynamics of the optimal energy mix in the presence of mineral intensive renewable energy and fossil energy. We analyze energy production when both mineral and fossil resources are scarce, but minerals are recyclable. We show that the greater the recycling rate of minerals, the more the energy mix should rely on renewable energy, and the sooner should investment in renewable capacity take place. We confirm these results even in the presence of other better known factors that affect the optimal schedule of resource use: expected productivity growth in the renewable sector, imperfect substitution between the two sources of energy, convex extraction costs for mineral resources and pollution from the use of fossil resources.     

The demand of energy from an optimal portfolio choice perspective

This paper analyses the demand for energy sector by employing a model form strategic asset allocation literature and quantifying the welfare losses incurred by an investor due to sub-optimal asset allocation. Our sample group includes fifteen major oil producing and consuming countries. We analyze the short-run and long-run desirability of energy sector in the optimal portfolio of an investor with varying level of risk aversion; that is, risk averse and risk tolerant investors. Our results show that the portfolio demand for energy sector is myopic or short-run. For long-run investors, investing in a portfolio of equity market and government bonds is a better proposition. In addition, energy sector is more desirable for risk tolerant investors.     

Concepts of learning and experience in developing solar thermal technologies

This study presents a plausible picture of development of solar thermal technology, using the learning and experience curve concepts. The cost estimates for solar thermal energy technologies are typically made assuming a fixed production process, characterized by standard capacity factors, overhead, and labor costs. The learning curve is suggested as a generalization of the costs of potential solar energy system. The concept of experience is too ambiguous to be useful for cost estimation. There is no logical reason to believe that cost will decline purely as a function of cumulative production, and experience curves do not allow the identification of logical sources of cost reduction directly. The procedures for using learning and aggregated cost curves to estimate the costs of solar technologies are outlined. Because adequate production data often do not exist, production histories of analogous products/processes are analyzed, and learning and aggregated cost curves for these surrogates estimated. If the surrogate learning curves apply, they can be used to estimate solar thermal technology costs. The steps involved in generating these cost estimates are given. Second-generation glass-steel heliostat design concept developed by MDAC is described; a costing scenario for 25,000 units/year is detailed; surrogates for cost analysis are chosen; learning and aggregated cost curves are estimated; and the aggregate cost curve for the MDAC designs is estimated. The surrogate concept of cost estimation combines qualitative steps, which are highly subjective, with quantitative techniques, which require thorough knowledge and understanding to justify their use. As such, the results, interpretations, and inferences must be qualified by an understanding of the process by which they were developed. The method of surrogate learning curves had limitations in both the data acquisition and data analysis phases of activity. Improvements in the validity of cost data and in the task used for this type of study are necessary to enhance the reliability of unit cost predictions resulting from this technique.     

Renewable energy subsidies: Second-best policy or fatal aberration for mitigation?

This paper evaluates the consequences of renewable energy policies on welfare and energy prices in a world where carbon pricing is imperfect and the regulator seeks to limit emissions to a (cumulative) target. The imperfectness of the carbon price is motivated by political concerns regarding distributional effects of increased energy prices. Hence, carbon prices are considered to be temporarily or permanently absent or endogenously constrained by their effect on energy prices. We use a global general equilibrium model with an intertemporal fossil resource sector and calculate intertemporally optimal policies from a broad set of policy instruments including carbon taxes, renewable energy subsidies and feed-in-tariffs, among others. If carbon pricing is permanently missing, mitigation costs increase by a multiple (compared to the optimal carbon pricing policy) for a wide range of parameters describing extraction costs, renewable energy costs, substitution possibilities and normative attitudes. Furthermore, we show that small deviations from the second-best subsidy can lead to strong increases in emissions and consumption losses. This confirms the rising concerns about the occurrence of unintended side effects of climate policy – a new version of the green paradox. Smart combinations of carbon prices and renewable energy subsidies, however, can achieve ambitious mitigation targets at moderate additional costs without leading to high energy price increases.     

Deregulation in an energy market and its impact on R&D for low-carbon energy technology

This paper analyzes the impact of deregulation in an energy market on R&D activities for new energy technology when climate policy is implemented. A model of growth with vertical innovation is modified by including an oligopolistic energy supply sector for demonstrating to what extent deregulation in the energy supply sector will affect R&D activities for low-carbon energy technology, provided that carbon taxation is implemented. The analysis shows that, when the elasticity of substitution between input factors is less than unity, deregulation will drive energy R&D activities and reduce CO₂ accumulation if the energy market is highly concentrated in the beginning.     

Regulatory design and incentives for renewable energy

Increasing electric power production from renewable energy sources is currently one of the major objectives of energy policy. The intermittent nature of renewables, such as wind and solar, necessarily imposes complex trade-offs for regulatory objectives, such as resource adequacy (and system reliability) versus reductions in green house gas emissions. We develop a highly stylized model of investments in order to derive insights regarding the workings of regulatory incentives for increased renewable energy. We first show that incentives are indeed needed when there are significant economies of scale in the form of “learning by doing” or alternatively, when there is excess capacity in conventional technology due to legacy investments. We analyze two different regulatory schemes (feed-in tariffs and renewable portafolio standards) aimed at increasing investment in renewable capacity. We show that neither scheme is capable of inducing the socially optimal level of investment in renewable capacity. A single feed-in tariff fails to induce optimal investment as a feed-in tariff exceeding marginal costs of conventional technology incentivizes over-development of the most attractive sites which preempts investment in less attractive, yet socially valuable sites. A renewable portfolio standard that promotes increased investment in renewable technology induces under-investment in the conventional technology. These results suggest that a “clinical” regulatory design, that is, one that promotes the right amount of renewable capacity without affecting conventional capacity is a challenging proposition.     

A dynamic econometric model of Thailand manufacturing energy demand

The purpose of this article is to employ the dynamic translog framework to model inter-factor and inter-fuel energy demand for the Thai manufacturing sector. The Denny et al. (1981) and Lynk (1989) framework, which proposes a dynamic adjustment for capital stock is employed to motivate the estimated of factor demand and fuel share equations. Three factors: energy, labour and capital; and five fuel types: fuel oil, diesel oil, liquified petroleum gas (LPG), electricity, and coal and lignite; are examined. Regression diagnostics support the empirical specification. Numerous factor and fuel substitution possibilities are identified, with some policy implications described.     

Coal gasification: An economic evaluation

Political interest in developing the capability to produce gaseous fuel from coal in the United States has been cyclical in nature, depending primarily upon the security of the international market for oil and public attitudes toward nuclear power. Interest in coal gasification technology by private investors, however, depends primarily on the economic and technological considerations analyzed in this paper. A cost forecasting model is developed with the capability to take into account future economic and technological uncertainties associated with producing high BTU gas (a substitute for natural gas) from coal. The cost forecasting model incorporates probabilistic information on key economic and technological parameters subject to future uncertainty and simulates, by Monte Carlo methods, the costs which private investors would incur over the life of a commercial size coal gasification plant. The results suggest it is highly unlikely that the coal gasification process could produce high BTU gas more cheaply than the price at which natural gas is likely to be available.The cost forecasting model is also modified to compare the cost per kilowatt–hour of generated electricity when fueling a 1,000 Mw power plant with oil versus high BTU gas from coal. Again, based upon the costs to private investors, the simulation results indicate a very low probability that high BTU gas from coal would prove the least costly fuel for generating electricity.The implied economic infeasibility for private investment in coal gasification does not necessarily provide a basis for public policy to abandon the technology. Public policy recommendations must consider social costs as well as private costs. Possibly the greatest social cost associated with abandoning coal gasification is the risk of a significant energy supply interruption. A diversified national energy policy including coal gasification may in fact be less costly if relevant social costs are included in the calculations. Results from the cost forecasting model indicate the size and type of public subsidies that may be necessary to support a diversified energy industry which would include coal gasification.     

Implementing technology roadmap process in the energy services sector: A case study of a government agency

Energy sector has become increasingly sensitive to emerging new technologies as our society is seeking alternative energy sources. Many utility companies and government agencies have started to implement technology planning processes for roadmapping their future technology portfolios. This paper focuses on technology planning in the government energy services sector. Through a case study research method, the paper documents how technology planning and specifically technology roadmaps were implemented at a federal agency tasked with managing power transmission in the Northwest United States. Three application areas are covered: transmission, renewables and energy efficiency. The paper provides details on the Energy Efficiency Roadmaps. Through the review of the case a technology planning methodology based on technology roadmaps is detailed. Key conclusions were reached on how to manage such process implementation in similar organizations. Some of these conclusions can be generalized to those that are implementing technology planning processes for the first time. We concluded that adoption of such methods would require a longer time than anticipated. Organizational changes to adopt the process will likely reduce the time it takes to deliver the required roadmaps. We also found that a typical sequence of events would be Technology Gap Analysis and Identification of Technology Candidates, Evaluation and Prioritization of Technologies, Roadmapping of Technologies and Allocation of Resources to the R&D Programs or to the direct acquisition of the technologies.     

Creating Opportunities for Women in the Renewable Energy Sector: Findings from India

This paper identifies opportunities and constraints that low-income women face in accessing livelihoods in the renewable-energy sector in India through qualitative and quantitative research conducted in collaboration with The Energy Resources Institute (TERI) and the Self Employed Women's Association (SEWA) in 2012–13. Whereas previous research has focused on women mostly as end users of solar and biomass technologies, this research attempts also to understand women's potential as entrepreneurs, facilitators, designers, and innovators. Findings reveal that although access to technology and employment in the energy sector is limited by inadequate purchasing power and low social status, there is tremendous potential to create livelihoods for women at all levels of the energy supply chain. Broader findings indicate that women can gain optimal traction from employment in the energy sector only if there are wider socially progressive policies in place, including state intervention to create a robust social welfare infrastructure and accessible, high-quality, public services.     

Fuel Efficiency Improvements: Feedback Mechanisms and Distributional Effects in the Oil Market

We study the interactions between fuel efficiency improvements in the transport sector and the oil market, where the efficiency improvements are policy-induced in certain regions of the world. We are especially interested in feedback mechanisms of fuel efficiency such as the rebound effect, carbon leakage and the “green paradox”, but also the distributional effects for oil producers. An intertemporal numerical model of the international oil market is introduced, where OPEC-Core producers have market power. We find that the rebound effect has a noticeable effect on the transport sector, with the magnitude depending on the oil demand elasticity. In the benchmark simulations, we calculate that almost half of the energy savings may be lost to a direct rebound effect and an additional 10% to oil price adjustments. In addition, there is substantial intersectoral leakage to other sectors through lower oil prices in the regions that introduce the policy. There is a small green paradox effect in the sense that oil consumption increases initially when the fuel efficiency measures are gradually implemented. Finally, international carbon leakage will be significant if policies are not implemented in all regions; we estimate leakage rates of 35% or higher when only major consuming regions implement fuel economy policies. Non-OPEC producers will to a larger degree than OPEC producers cut back on its oil supply as a response to fuel efficiency policies due to high production costs.     

The atmospheric carbon resilience problem: A theoretical analysis

We study a dynamic carbon pollution model where carbon accumulates both inside a nonrenewable and a renewable reservoir with a constant regeneration rate. Two primary energy sources are available: a cheap exhaustible fossil fuel (coal) and an expensive clean energy alternative (solar). To avoid catastrophic climate events, the global carbon concentration has to remain below some critical mandated ceiling. We show that there exists an upper bound on the coal endowment that can be consumed, which distinguishes two main cases: coal is initially abundant or scarce. If the energy sector has to provide a constant aggregate energy flow to the final users, cost-effectiveness requires that the global ceiling should be attained only when solar energy is introduced. Then the economy stays forever at the ceiling and coal use is progressively replaced by solar energy use. In the abundant coal case, this energy sources substitution process lasts for an infinite duration while in the scarce coal case, coal exploitation ends in finite time. Under a welfare maximization criterion, if coal is abundant, we show that the economy may follow a sequence of phases at the ceiling and below the ceiling before the final transition towards clean energy.     

A model of technological breakthrough in the renewable energy sector

Models with induced technological change in the energy sector often predict a gradual expansion of renewable energies, and a substantial share of fossil fuels remaining in the energy mix through the end of our century. However, there are historical examples where new products or technologies expanded rapidly and achieved a high output in a relatively short period of time. This paper explores the possibility of a ‘technological breakthrough’ in the renewable energy sector, using a partial equilibrium model of energy generation with endogenous R&D. Our results indicate, that due to increasing returns-to-scale, a multiplicity of equilibria can arise. In the model, two stable states can coexist, one characterized by a lower and one by higher supply of renewable energy. The transition from the low-output to the high-output equilibrium is characterized by a discontinuous rise in R&D activity and capacity investments in the renewable energy sector. The transition can be triggered by a rise in world energy demand, by a drop in the supply of fossil fuels, or by policy intervention. Under market conditions, the transition occurs later than in the social optimum. Hence, we identify a market failure related to path-dependence and technological lock-in, that can justify a strong policy intervention initially. Paradoxically, well-intended energy-saving policies can actually lead to higher emissions, as they reduce the incentives to invest in renewable energies by having a cushioning effect on the energy price. Hence, these policies should be supplemented by other instruments that restore the incentives to invest in renewable energies. Finally, we discuss the influence of monopoly power in the market for innovations. We show that market power can alleviate the problem of technological lock-in, but creates a new market failure that reduces static efficiency.     

The atmospheric carbon resilience problem: A theoretical analysis

We study a dynamic carbon pollution model where carbon accumulates both inside a nonrenewable and a renewable reservoir with a constant regeneration rate. Two primary energy sources are available: a cheap exhaustible fossil fuel (coal) and an expensive clean energy alternative (solar). To avoid catastrophic climate events, the global carbon concentration has to remain below some critical mandated ceiling. We show that there exists an upper bound on the coal endowment that can be consumed, which distinguishes two main cases: coal is initially abundant or scarce. If the energy sector has to provide a constant aggregate energy flow to the final users, cost-effectiveness requires that the global ceiling should be attained only when solar energy is introduced. Then the economy stays forever at the ceiling and coal use is progressively replaced by solar energy use. In the abundant coal case, this energy sources substitution process lasts for an infinite duration while in the scarce coal case, coal exploitation ends in finite time. Under a welfare maximization criterion, if coal is abundant, we show that the economy may follow a sequence of phases at the ceiling and below the ceiling before the final transition towards clean energy.