Influential Nodes in the OBOR Fossil Energy Trade Network Based on D-S Theory: Detection and Evolution Analysis

The structure formed by fossil energy trade among countries can be divided into multiple subcommodity networks. However, the difference of coupling mode and transmission mechanism between layers of the multirelationship network will affect the measurement of node importance. In this paper, a framework of multisource information fusion by considering data uncertainty and the classical network centrality measures is build. Then, the evidential centrality (EVC) indicator is proposed, by integrating Dempster–Shafer evidence theory and network theory, to empirically identify influential nodes of fossil energy trade along the Belt and Road Initiative. The initial result of the heterogeneity characteristics of the constructed network drives us to explore the core node issue further. The main detected evidential nodes include Russia, Kazakhstan, Czechia, Slovakia, Egypt, Romania, China, Saudi Arabia, and Singapore, which also have higher impact on network efficiency. In addition, cluster analysis discovered that resource endowment is an essential factor influencing country’s position, followed by geographical distance, economic level, and economic growth potential. Therefore, the above aspects should be considered when ensuring national trade security. At last, the rationality and comprehensiveness of EVC are verified by comparing with some benchmark centralities.

Recent Advances in Heterostructured Cathodic Electrocatalysts for Non-aqueous Li-O2 Batteries

Developing efficient energy storage and conversion applications is vital to address fossil energy depletion and global warming. Li-O2 batteries are one of the most promising devices because of their ultra-high...

A two layer differential evolution algorithm for economic emission dispatch with random wind power

This paper proposes a novel two layer differential evolutionary algorithm with multi-mutation strategy (TLDE) for solving the economic emission dispatch (EED) problem involving random wind power. In recent years, renewable energy such as wind power is more and more participated in the power systems to address the problems of fossil energy shortage and environmental pollution. Hence, the EED problem with the availability of random wind power is investigated in this paper. Due to the uncertain nature of wind speed, the Weibull probability distribution function is used to model the random wind power. In order to improve the search ability, TLDE divides the population into two layers according to the fitness ranking, and individuals in the two layers are treated differently to fully investigate their own potential. The two layers can cooperate with each other to further enhance the search performance by utilizing an information sharing strategy. Also, an adaptive restart scheme is introduced to avoid falling into stagnation. The performance of the proposed TLDE is testified on the 40 units system with 2 modified wind turbines. The experimental results demonstrate that the TLDE method can achieve precise dispatch strategy in EED problem with random wind power.

Fuel Ammonia from Fossil Energy: Hydrocarbon Utilization for Sustainable Development

Synthetic ammonia from fossil energy can technically be used for power generation. Viewed as hydrocarbon utilization, it enables oil and gas industries to move towards the sustainable development of resources while minimizing their carbon footprint. We present an integrated high-level overview of this concept by highlighting the following key aspects: i) the carbon footprint of the process, ii) the necessity for carbon capture and storage (CCS), iii) power generation from fuel ammonia, and iv) market development. First, the carbon footprint was estimated based on the chemical formulas of the process, which revealed the necessity for CCS for the process to provide cleaner energy. Second, having reviewed these four key aspects, we showed that most elemental technologies comprising this new value chain have already been technically proven. Finally, we discuss and conclude with possible ways towards the commercialization of this value chain.

The Impacts of COVID-19 on China’s Economy and Energy in the Context of Trade Protectionism

In the current context of rising trade protectionism, deeply understanding the impacts of COVID-19 on economy and energy has important practical significance for China to cope with external shocks in an uncertain environment and enhance economic resilience. By constructing an integrated economic and energy input-output model including the COVID-19 shock, this paper assesses the impacts of COVID-19 on China’s macro-economy and energy consumption in the context of trade protectionism. The results are shown as follows. First, in the context of protectionism, the outbreak of COVID-19 in China would cause a 2.2–3.09% drop in China’s GDP and a 1.56–2.48% drop in energy consumption, while adverse spillovers from global spread of COVID-19 would reduce its GDP by 2.27–3.28% and energy consumption by 2.48–3.49%. Second, the negative impacts of domestic outbreak on China’s construction, non-metallic mineral products, and services would be on average 1.29% higher than those on other industries, while the impacts of global spread of COVID-19 on export-oriented industries such as textiles and wearing apparel would be on average 1.23% higher than other industries. Third, the effects of two wave of the pandemic on China’s fossil energy consumption would be on average 1.44% and 0.93% higher than non-fossil energy consumption, respectively.

Study of Hybrid System for Optimization of Energy Source in Ut Island, Maluku

Eastern side of Indonesia has a group of scattered Islands and have a great distance from the main Island. Fossil fuels are the main option for meeting the needs of electrical energy in the outer Islands. But the availability of fossil fuels is very dependent on the weather and modes of transportation. In addition, fossil energy also causes emissions and environmental pollution, so efforts to diversify alternative energy by utilizing renewable energy are needed to meet energy needs. Ut Island, Maluku is one of the Islands which is not yet powered by utilities. In this paper, the HOMER software is used to determine the optimal hybrid power plant configuration from a techno-economic perspective by utilizing energy resources available on the Island. From the simulations that have been carried out wind speed has a significant influence on the optimal configuration of the PLH system. Load value affects the amount of NPC and COE. The greater the load is fulfilled, the higher the NPC. But contrary to NPC, COE value will decrease.

Study on Electrical Vehicle Policy in South Korea as a Lesson Learning for Indonesia

Electric vehicle (EV) becomes an important option to overcome limited resources of fossil energy resources and to reduce side effects of Internal Combustion Engine Vehicles (ICEV) on the environment and health. However, the implementation policy of EV needs to apply carefully to make this policy sustainable and to minimize its side effects. Therefore, the Government of a country plays a significant role in leading and support the implementation of EV with policy and regulation. This paper reviews policies of Electric Vehicles (EV) in South Korea and Indonesia. The main objective of this review is to evaluate the strengths and weaknesses of the policies implemented in those countries. Three main aspects are elaborated, i.e., the main policy, the technology, and the private sector implementations. This paper also develops recommended policies and actions that could be done in Indonesia by reflecting on the EV policy in South Korea.