scholarly journals A dynamic analysis on global biomass energy trade network

Author(s):  
Xu Yang ◽  
Xingjiang Li ◽  
Fuhai Yan
2014 ◽  
Vol 132 ◽  
pp. 23-33 ◽  
Author(s):  
Jiang-Bo Geng ◽  
Qiang Ji ◽  
Ying Fan

2020 ◽  
Vol 194 ◽  
pp. 02007
Author(s):  
Yaowu Dong ◽  
Xuesong Li ◽  
Jie Wu ◽  
Yaoyao Liu

As two super powers in energy consumption and carbon emission, the United States and China have been striving to develop clean energy in recent years. In this paper, we study the international competitiveness and potential for trade cooperation in clean energy between the two countries. This paper reveals that the United States has comparative advantages in terms of biomass energy and nuclear power, while China has comparative advantages in terms of solar energy and wind energy. The two countries have a strong complementarity in solar energy, biomass energy and nuclear energy with exporting from the United States and importing from China. In solar energy and wind energy a strong complementarity has been formed with exporting from China and importing into the United States. So the two countries have a strong potential for cooperation. Meanwhile, the potential trade cooperation is enhancing with the United States accelerating the development and exportation in natural gas. Therefore, the two countries have a strong trade complementarity on clear energy and a strong potential for cooperation in general. At the same time, the VCR model is built based on the clean energy Trade Complementary Index(TCIc and TCIu) between the United States and China. It can be found that the clean energy trade cooperation helps to curb CO2 emissions and promotes the GDP growth in the United States. However, China is in the early stage of clean energy development, the cooperation would cause a decline of GDP in China.


2017 ◽  
Vol 107 (2) ◽  
pp. 276-295 ◽  
Author(s):  
Yu Yang ◽  
Jessie P. Poon ◽  
Wen Dong

2021 ◽  
Vol 13 (18) ◽  
pp. 10199
Author(s):  
Germán G. Creamer ◽  
Tal Ben-Zvi

This paper evaluates the effect of energy trade networks on the price volatility of coal, oil, natural gas, and electricity. This research conducts a longitudinal analysis using a time series of static coal trade networks to generate a dynamic trade network. It uses the component causality index as a leading indicator of the price volatility of the energy market. This research finds out that the component causality index, based on degree centrality, anticipates or moves together with coal volatility and, to a lesser degree, with natural gas and electricity volatility for the period 1998–2014. The proposed index could be integrated into a risk management system for investors and regulators. The broad impact of this research lies in the understanding of mechanisms of the instability and risk of the energy sector as a result of a complex interaction of the network of producers and traders.


Energy ◽  
2021 ◽  
pp. 121678
Author(s):  
Bo Ren ◽  
Huajiao Li ◽  
Jianglan Shi ◽  
Ning Ma ◽  
Yajie Qi

2019 ◽  
Vol 3 (1) ◽  
pp. 1-12
Author(s):  
Lauren K. D’Souza ◽  
William L. Ascher ◽  
Tanja Srebotnjak

Native American reservations are among the most economically disadvantaged regions in the United States; lacking access to economic and educational opportunities that are exacerbated by “energy insecurity” due to insufficient connectivity to the electric grid and power outages. Local renewable energy sources such as wind, solar, and biomass offer energy alternatives but their implementation encounters barriers such as lack of financing, infrastructure, and expertise, as well as divergent attitudes among tribal leaders. Biomass, in particular, could be a source of stable base-load power that is abundant and scalable in many rural communities. This case study examines the feasibility of a biomass energy plant on the Cocopah reservation in southwestern Arizona. It considers feedstock availability, cost and energy content, technology options, nameplate capacity, discount and interest rates, construction, operation and maintenance (O&M) costs, and alternative investment options. This study finds that at current electricity prices and based on typical costs for fuel, O&M over 30 years, none of the tested scenarios is presently cost-effective on a net present value (NPV) basis when compared with an alternative investment yielding annual returns of 3% or higher. The technology most likely to be economically viable and suitable for remote, rural contexts—a combustion stoker—resulted in a levelized costs of energy (LCOE) ranging from US$0.056 to 0.147/kWh. The most favorable scenario is a combustion stoker with an estimated NPV of US$4,791,243. The NPV of the corresponding alternative investment is US$7,123,380. However, if the tribes were able to secure a zero-interest loan to finance the plant’s installation cost, the project would be on par with the alternative investment. Even if this were the case, the scenario still relies on some of the most optimistic assumptions for the biomass-to-power plant and excludes abatement costs for air emissions. The study thus concludes that at present small-scale, biomass-to-energy projects require a mix of favorable market and local conditions as well as appropriate policy support to make biomass energy projects a cost-competitive source of stable, alternative energy for remote rural tribal communities that can provide greater tribal sovereignty and economic opportunities.


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