In this perspectives piece, an interdisciplinary team of social science researchers considers the implications of Covid-19 for the politics of sustainable energy transitions. The emergency measures adopted by states, firms, and individuals in response to this global health crisis have driven a series of political, economic and social changes with potential to influence sustainable energy transitions. We identify some of the initial impacts of the 'great lockdown' on sustainable and fossil sources of energy, and consider how economic stimulus packages and social practices in the wake of the pandemic are likely to shape energy demand, the carbon-intensity of the energy system, and the speed of transitions. Adopting a broad multi-scalar and multi-actor approach to the analysis of energy system change, we highlight continuities and discontinuities with pre-pandemic trends. Discussion focuses on four key themes that shape the politics of sustainable energy transitions: (i) the short, medium and longterm temporalities of energy system change; (ii) practices of investment around clean-tech and divestment from fossil fuels; (iii) structures and scales of energy governance; and (iv) social practices around mobility, work and public health. While the effects of the pandemic continue to unfold, some of its sectoral and geographically differentiated impacts are already emerging. We conclude that the politics of sustainable energy transitions are now at a critical juncture, in which the form and direction of state support for post-pandemic economic recovery will be key.
Abstract:Energy infrastructures are increasingly perceived as complex, adaptive socio-technical systems. Their design has not kept up; it is still fragmented between an engineering and economic dimension. While economists focus on a market design that addresses potential market failures and imperfections, opportunistic behavior, and social objectives, engineers pay attention to infrastructure assets, a robust network topology, and control system design to handle flows and eventualities. These two logics may be complementary, but may also be at odds. Moreover, it is generally unclear what design choices in one dimension imply for the other. As such, we are ill-equipped to identify, interpret, and address the challenges stemming from technical innovations, e.g., the integration of renewable energy technologies, and institutional changes, e.g., liberalization or new forms of organization like cooperatives, which often have interrelated operational and market implications. In response, this paper proposes a more comprehensive design framework that bridges the engineering and economic perspectives on energy infrastructure design. To this end, it elaborates the different design perspectives and develops the means to relate design variables of both perspectives along several layers of abstraction: the form of infrastructure access of actors, the division of responsibilities among actors, and type of coordination between actors. The intention is that this way system and market design efforts can be better attuned to each other and we further our understanding and conceptualization of the interrelationship between the techno-operational and economic-institutional dimensions of energy infrastructures. The framework also aids in overseeing the broader institutional implications of technical developments (and vice versa) and stimulates awareness of lock-ins and path-dependencies in this regard.
Abstract:The transition to a more sustainable personal transportation sector requires the widespread adoption of electric vehicles. However, a dominant design has not yet emerged and a standards battle is being fought between battery and hydrogen fuel cell powered electric vehicles. The aim of this paper is to analyze which factors are most likely to influence the outcome of this battle, thereby reducing the uncertainty in the industry regarding investment decisions in either of these technologies. We examine the relevant factors for standard dominance and apply a multi-criteria decision-making method, best worst method, to determine the relative importance of these factors. The results indicate that the key factors include technological superiority, compatibility, and brand reputation and credibility. Our findings show that battery powered electric vehicles have a greater chance of winning the standards battle. This study contributes to theory by providing further empirical evidence that the outcome of standards battles can be explained and predicted by applying factors for standard success. We conclude that technology dominance in the automotive industry is mostly driven by technological characteristics and characteristics of the format supporter.
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