Scaling-up Renewable Energy Share of Global Energy Mix: Analysis of Spatial Variability

Author(s):  
Mark Opoku Amankwa ◽  
Justice Issah Musah-Surugu ◽  
Gershon Dagba ◽  
Prince Opoku
2019 ◽  
Vol 136 ◽  
pp. 1119-1129 ◽  
Author(s):  
Esa Pursiheimo ◽  
Hannele Holttinen ◽  
Tiina Koljonen

Energies ◽  
2015 ◽  
Vol 8 (6) ◽  
pp. 5828-5865 ◽  
Author(s):  
Deger Saygin ◽  
Ruud Kempener ◽  
Nicholas Wagner ◽  
Maria Ayuso ◽  
Dolf Gielen

2020 ◽  
pp. 0958305X2094998
Author(s):  
Chun Chih Chen

Taiwan intends to be nuclear free by 2025. This study employs the Lotka–Volterra competition model for sustainable development to analyze the emissions–energy–economy (3Es) issue to make appropriate policy suggestions for a nuclear-free transition. It also offers a new approach to naming the 3E relationship. The literature review shows that the environmental Kuznets curve accompanies the feedback and conservation hypotheses. In the 3E dynamics relationship analysis, the model shows a good mean absolute percentage error (<15%) for the model estimation. The key findings are as follows: 1) the fossil fuel-led economy exists; 2) CO2 emissions are reduced with nuclear energy consumption; 3) renewable energy is far from scale; 4) a complementary effect exists between fossil fuel and nuclear energy consumption; and 5) gas retrofitting and phasing out of nuclear seem imminent. In the energy transition, Taiwan drastically cuts nuclear energy without considering energy diversity due to which troubles might ensue. The priority issue for Taiwan’s energy mix is energy security. To deal with these concerns, this study suggests the government could improve energy efficiency, build a smart grid, develop carbon capture and storage, and reconsider putting nuclear energy back into the energy mix before renewable energy is scaled.


2021 ◽  
Vol 34 ◽  
pp. 100625
Author(s):  
D. Saygin ◽  
O.B. Tör ◽  
M.E. Cebeci ◽  
S. Teimourzadeh ◽  
P. Godron

2021 ◽  
Author(s):  
◽  
Armands Grāvelsiņš

European Union has set ambitious decarbonization goals under Green Deal, therefore, Latvia needs to search for solutions on how to move towards reaching the said goals. Although renewable energy share in Latvia is one of the highest among the European Union countries, it is mostly due to historic heritage, not as the result of implementing meaningful policies. Essential high renewable energy share in power sector comes from three large hydroelectric stations on Daugava, which is heritage from the Soviet Union times. Steady increase in renewable energy share can be observed in District Heating, however it is based on increased utilization of biomass, and that most likely is not a sustainable solution. Considering that bioeconomy will experience significant growth in the future, utilization of wood resource for production of products with low added value will steadily phase out. For energy sector it means the necessity to look for other alternatives to replace fossil fuels. If in other European countries (Denmark, Germany, the Netherlands, Lithuania, Estonia, et al.) solar and wind technology capacity have significantly increased over last decade, in Latvia this increase is negligible. Only in the last few years significant increase in installed solar capacities can be observed, but total capacity is still low. Latvia needs to seek solutions on how to increase the introduction rate of renewable energy technologies in order to move towards carbon neutrality in 2050. The aim of the Thesis is to develop a comprehensive system dynamics model which can be used to analyze energy sector at both national and local scale. It should include both heating and power sectors and be able to evaluate the possibility of sector coupling and its influence on the total system. Specific objectives are set to reach the aim: to develop a system dynamics model structure for heating system development; to analyze the heating system at local and national scale; to assess the importance of power sector flexibility on system development; to implement the elements of sector coupling in energy system; to analyze sector coupling as a flexibility increase measure for national scale and local systems.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amit Prakash Jha ◽  
Sanjay Kumar Singh

PurposeThe Indian power sector is dominated by coal. Environmental awareness and advances in techno-economic front have led to a slow but steady shift towards greener alternatives. The distributions of both fossil fuel resources and renewable energy potential are not uniform across the states. Paper attempts to answer how the states are performing in the sector and how the renewable energy and conventional resources are affecting the dynamics.Design/methodology/approachThe authors employ a two-stage data envelopment analysis (DEA) to rank the performance of Indian states in the power sector. Multi-stage analysis opens up the DEA black-box through disaggregating power sector in two logical sub-sectors. The performance is evaluated from the point-of-view of policy formulating and implementing agencies. Further, an econometric analysis using seemingly unrelated regression equations (SURE) is conducted to estimate the determinants of total and industrial per-capita electricity consumption.FindingsEfficiency scores obtained from the first phase of analysis happens to be a significant explanatory variable for power consumption. The growth in electricity consumption, which is necessary for economic wellbeing, is positively affected by both renewable and non-renewable sources; but conventional sources have a larger impact on per-capita consumption. Yet, the share of renewables in the energy mix has positive elasticity. Hence, the findings are encouraging, because development in storage technologies, falling costs and policy interventions are poised to give further impetus to renewable sources.Originality/valueThe study is one of the very few where entire spectrum of the Indian power sector is evaluated from efficiency perspective. Further, the second phase analysis gives additional relevant insights on the sector.


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