Solar energy transition—Implementation and policy implications

Solar Energy ◽  
1984 ◽  
Vol 33 (3-4) ◽  
pp. 388
2021 ◽  
pp. 251484862110249
Author(s):  
Siddharth Sareen

Increasing recognition of the irrefutable urgency to address the global climate challenge is driving mitigation efforts to decarbonise. Countries are setting targets, technological innovation is making renewable energy sources competitive and fossil fuel actors are leveraging their incumbent privilege and political reach to modulate energy transitions. As techno-economic competitiveness is rapidly reconfigured in favour of sources such as solar energy, governance puzzles dominate the research frontier. Who makes key decisions about decarbonisation based on what metrics, and how are consequent benefits and burdens allocated? This article takes its point of departure in ambitious sustainability metrics for solar rollout that Portugal embraced in the late 2010s. This southwestern European country leads on hydro and wind power, and recently emerged from austerity politics after the 2008–2015 recession. Despite Europe’s best solar irradiation, its big solar push only kicked off in late 2018. In explaining how this arose and unfolded until mid-2020 and why, the article investigates what key issues ambitious rapid decarbonisation plans must address to enhance social equity. It combines attention to accountability and legitimacy to offer an analytical framework geared at generating actionable knowledge to advance an accountable energy transition. Drawing on empirical study of the contingencies that determine the implementation of sustainability metrics, the article traces how discrete acts legitimate specific trajectories of territorialisation by solar photovoltaics through discursive, bureaucratic, technocratic and financial practices. Combining empirics and perspectives from political ecology and energy geographies, it probes the politics of just energy transitions to more low-carbon and equitable societal futures.


2020 ◽  
Vol 6 (2) ◽  
pp. 190026-190026
Author(s):  
Mario Pagliaro ◽  
Mario Pagliaro ◽  
Rosaria Ciriminna ◽  
Francesco Meneguzzo ◽  
Vittorio Loddo ◽  
...  

2020 ◽  
Vol 22 (5) ◽  
pp. 925-941 ◽  
Author(s):  
A. Gürhan Kök ◽  
Kevin Shang ◽  
Şafak Yücel

Problem definition: There is an ongoing debate on how providing a subsidy for one energy source affects the investment level of other sources. Academic/practical relevance: To investigate this issue, we study a capacity investment problem for a utility firm that invests in renewable and conventional energy, with a consideration of two critical factors. First, conventional sources have different levels of operational flexibility—inflexible (e.g., nuclear and coal) and flexible (e.g., natural gas). Second, random renewable energy supply and electricity demand are correlated and nonstationary. Methodology: We model this problem as a two-stage stochastic program in which a utility firm first determines the capacity investment levels followed by the dispatch quantities of energy sources to minimize the sum of investment and generation-related costs. Results: We derive the optimal capacity portfolio to characterize the interactions between renewable and conventional sources. Policy implications: We find that renewable and inflexible sources are substitutes, suggesting that a subsidy for nuclear or coal-fired power plants leads to a lower investment level in wind or solar energy. However, wind energy and flexible sources are complements. Thus, a subsidy for flexible natural gas-fired power plants leads to a higher investment in wind energy. This result holds for solar energy if the subsidy for the flexible source is sufficiently high. We validate these insights by using real electricity generation and demand data from the state of Texas.


Author(s):  
Panikos Georgallis ◽  
João Albino-Pimentel ◽  
Nina Kondratenko

Abstract Several countries provide policy support to specific sectors in order to facilitate industry transitions. While industry-support policies stimulate the growth of their target sectors, little is known about how such policies engender heterogeneous international strategies. In this article, we investigate how industry-support policies influence foreign location choices. We argue that firms engage in jurisdiction shopping, choosing to invest in countries with more generous policy support, but that this tendency varies markedly across firms. Specifically, we suggest that firms’ nonmarket experience exacerbates the effect of policy support on location choice, whereas market experience has less of an impact. Further, we propose that some firms view generous policies more skeptically than others, depending on the nature of their nonmarket experience. We test and find support for our predictions using a longitudinal dataset of foreign investments of firms entering the solar energy industry in the European Union. Our findings indicate that supportive policies stimulate the energy transition, attracting in particular foreign entrants diversifying into renewables or having more policy experience. At the same time, they suggest that adverse policy changes in one country affect how firms assess policies in other countries, highlighting the need for policy coordination at a supranational level.


2020 ◽  
pp. 16-25
Author(s):  
B.V. Korneychuk

The problem of forecasting the dynamics of the development of solar energy in the region in the context of the global trend of energy transition is considered. The urgency of the problem is due to the fact that forecasts of the development of solar energy are usually characterized by relatively large errors. To solve this problem, the author proposed a multi-trend approach to constructing a regional function for the growth of solar power capacity. The method is based on the description of the dynamics of power growth in the form of the average value of logistic, linear and exponential trends. The weighting factors are equal to values that are inversely proportional to the errors of the corresponding trends. Based on this method, forecasts of solar energy capacity were calculated for Africa, Asia, Europe, North America and South America for the period 2017–2019. The validity of the method is confirmed by the fact that these forecasts are characterized by a relatively low deviation from the actual data. The author has developed a forecast for these regions for the period 2020-2023. It is shown that the reason for the low reliability of most forecasts is the desire to use the logistic curve as a universal analysis tool. This approach absolutes the logistics trend and does not take into account the specifics of the region. However, for some regions, a linear or exponential trend can serve as the dominant growth trend in solar energy capacity. In particular, the reason for the systematic underestimation of forecasts for China was the ignorance of the exponential component of the growth of solar energy capacity.


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