Articles

Accelerating innovation in clean energy technologies is a policy priority for governments around the world aiming to mitigate climate change and to provide affordable energy. Most research has focused on the role of governments financing R&D and steering market demand, but there is a more limited understanding of the role of direct government interactions with startups across all sectors. The authors  propose and evaluate the value-creation mechanisms of network resources from different types of partners for startups, highlighting the unique resources of government partners for cleantech startups. 

President Trump has proposed severe cuts to US government spending on energy research, development and demonstration, but Congress has the 'power of the purse' and can rescue US energy innovation. If serious cuts are enacted, the pace of innovation will slow, harming the economy, energy security and global environmental quality.

Accelerating the development and deployment of energy technologies is a pressing challenge. Doing so will require policy reform that improves the efficacy of public research organizations and strengthens the links between public and private innovators. With their US$14 billion annual budget and unique mandates, the US National Laboratories have the potential to critically advance energy innovation, yet reviews of their performance find several areas of weak organizational design. This article discusses the challenges the National Laboratories face in engaging the private sector, increasing their contributions to transformative research, and developing culture and management practices to better support innovation. The authors also offer recommendations for how policymakers can address these challenges.

In order to make R&D funding decisions to meet particular goals, such as mitigating climate change or improving energy security, or to estimate the social returns to R&D, policy makers need to combine the information provided in this study on cost reduction potentials with an analysis of the macroeconomic implications of these technological changes. The authors conclude with recommendations for future directions on energy expert elicitations.

The Renewable Fuel Standard (RFS) is among the cornerstone policies created to increase U.S. energy independence by using biofuels. Although greenhouse gas emissions have played a role in shaping the RFS, water implications are less understood. We demonstrate a spatial, life cycle approach to estimate water consumption of transportation fuel scenarios, including a comparison to current water withdrawals and drought incidence by state. The water consumption and land footprint of six scenarios are compared to the RFS, including shale oil, coal-to-liquids, shale gas-to-liquids, corn ethanol, and cellulosic ethanol from switchgrass.

Characterization of the anticipated performance of energy technologies to inform policy decisions increasingly relies on expert elicitation. Knowledge about how elicitation design factors impact the probabilistic estimates emerging from these studies is, however, scarce. We focus on nuclear power, a large-scale low-carbon power option, for which future cost estimates are important for the design of energy policies and climate change mitigation efforts. We use data from three elicitations in the USA and in Europe and assess the role of government research, development, and demonstration (RD&D) investments on expected nuclear costs in 2030.

By analyzing the institutions that have been created to stimulate energy technology innovation in the United States, the United Kingdom, and China—three countries with very different sizes, political systems and cultures, natural resources, and histories of involvement in the energy sector—this article highlights how variations in national objectives and industrial and political environments have translated into variations in policy.

This article reviews the concept of an energy technology innovation system (ETIS). The ETIS is a systemic perspective on innovation comprising all aspects of energy transformations (supply and demand); all stages of the technology development cycle; as well as all the major innovation processes, feedbacks, actors, institutions, and networks.