Energy Cooperation Research Articles

Vectors of development of energy cooperation between Russia and foreign countries under economic sanctions

The subject of this study is the modern aspects of Russia’s positioning in the global energy space. They are associated with the shift from the previously established liberal world order and the trend towards new polarisation in the world economic system, as well as with the increasing risks of turbulence in world energy markets. In this regard, it is extremely important to assess the real impact of economic sanctions on the nature of relationships and determine promising vectors for the development of energy cooperation between Russia and foreign countries. The research methodology includes analysis and synthesis methods and a historical approach, which are productively used to assess the tactical and strategic actions of our country in the system of international energy cooperation. The scientific novelty of the study lies in the substantiation of theoretical approaches and assessment of the practical implementation of energy cooperation with foreign countries. Those priority interests are considered that determine the economic sovereignty and identity of Russia in the conditions of a gradual but categorical shift of the world community from the previously established imperatives of liberalism and economic globalisation. The article is of an overview nature and describes the key areas of cooperation in the oil and gas and coal industries. Its main provisions may be used for long-term researches related to modernising the strategy of Russia’s foreign economic relations and increasing the level of its foreign economic security in the context of new global challenges.

China–Russia strategic partnership and the oil and gas collaboration

Over the post-Cold War era, China has been committed to intensifying its strategic partnership with Russia in an attempt to usher into the world a new order. To achieve this goal, these two states have since the end of the Cold War expanded their cooperation, including the oil and gas cooperation. The research objectives of the paper are to explore the latest development in the China–Russia oil and gas cooperation and the motivations and outcomes from a Chinese perspective. It contributes to the scholarly discussion by analyzing China’s intensified energy cooperation with Russia in the greater picture of China’s rise and examining it in a political economy way. This paper finds that the rapidly enhanced energy cooperation is a visible manifestation of China’s quest for energy security and a greater say in the world energy market. This paper concludes that China wishes to achieve three objectives by intensifying its oil and gas cooperation with Russia: this first is related to China’s sustained economic growth; the second to China’s aggravated security environment since the US ‘pivot to Asia’; the third to China’s dream of restoring its past status as a great power.

International law in the China–Russian energy partnership: mapping the partnership-based relational approach

Abstract Over the past decades, the China–Russian energy partnership has become firmly established. Significant milestones such as the 2009 oil and the 2014 gas deals demonstrate the geopolitical impact of this partnership. The article finds that the China–Russian energy cooperation uses a partnership-based relational approach that eschews rulemaking by treaty. Instead, the legal framework of this partnership is multi-layered and has distinct features. It relies heavily on bilateralism, pragmatic cooperation, and non-binding commitments. A range of instruments applies at the bilateral level, including a bilateral investment treaty, energy cooperation agreements, intergovernmental agreements on significant energy deals, and many joint communiques and statements of a soft law nature. Regarding regional energy governance, China and Russia prefer different approaches, as reflected in their participation in the Shanghai Cooperation Organization, the Eurasian Economic Union, and the Belt and Road Initiative. While these regional mechanisms contribute to the energy partnership, their impact on the legal framework is limited.

ENHANCING CONNECTIVITY OF THE COUNTRIES OF CENTRAL AND SOUTH ASIA

The article examines the prospects for the development of regional connectivity of the countries of Central and South Asia and analyzes the initiatives and projects being implemented between them in the areas of energy and transit-transport cooperation. Particular attention in the work is paid to understanding the directions in which connectivity of the countries of Central and South Asia will develop in the foreseeable future. The idea of developing regional connectivity is not something new for the two regions. The states and peoples of Central and South Asia historically had extensive trade relations, being an important link in the Silk Road that connected the East with the West. In the Middle Ages, one of the routes of pilgrims from Central Asia to the Hijaz ran through Afghanistan and South Asia, and there were active migration flows and cultural exchange between the peoples of the two regions. Today, the main condition to reconnect Central and South Asia is the establishment of long-term peace and stability in Afghanistan. The situation in Afghanistan, which remains a bridge between these two regions, directly affects the security of neighboring countries and can change the course of global politics in this part of Asia towards positive dynamics.

The role of narratives in the discourse on energy security of the European Commission: The EU's transition in energy relations with Russia

The article analyses the discourse on energy security of the European Commission (EC) towards Russia in the period from 2014 to February 2022. The analysis is conducted on the basis of three identified narratives (the securitization narrative, the geopolitics narrative and the zero-sum game narrative). The same themes can be narrated and argued about differently within the discourse on energy security. But they always reflect the gradual deterioration of the energy relations. In these narratives, Russia is seen as a security threat (the securitisation narrative), a (great) power rival (the geopolitics narrative) and a player with interests antagonistic to those of the EU (the zero-sum game narrative). The EC seeks to portray Russia as an unsuitable partner for long-term energy cooperation and also seeks to influence the EU's activity in energy relations.

India - Nepal Foreign Relations in the Context of Economics: Late 20th- Early 21st Century

In the context of the economy, India's foreign policy toward Nepal is defined by a complicated mix of cooperation and rivalry, with both nations attempting to strike a balance between their different interests while navigating a variety of political, economic, and strategic problems. Through a number of initiatives over the past few years, including the extension of a line of credit to support infrastructure development, the creation of an India-Nepal Joint Economic Commission, and the promotion of cross-border trade and investment, India has sought to deepen its economic ties with Nepal. These efforts have been aimed at boosting economic growth and development in Nepal while enhancing India's regional influence. However, India's foreign policy towards Nepal has also faced criticism, with some arguing that it prioritizes its own interests over Nepal's. This has led to tensions between the two countries, with Nepal seeking to diversify its economic and diplomatic ties beyond India. In this study, the trade, investment, aid, and tourism relations between India and Nepal are examined. It looks at how the economic hegemony of India and Nepal shaped the two countries' economic ties. The study also looks into the challenges and opportunities for the India-Nepal economic partnership. It investigates the issues related to trade barriers, infrastructure development, and energy cooperation. Additionally, this study examines the impact of political and diplomatic factors on the economic relationship between India and Nepal. The research is based on a combination of primary and secondary sources, including interviews with key stakeholders, economic data analysis, and a review of relevant literature. The findings of this study suggest that the economic relationship between India and Nepal has been significant and mutually beneficial, but there are several challenges that need to be addressed to realize the full potential of the partnership. Overall, this study offers insights into the prospects and challenges for deepening the economic relationships between the two countries as well as a better knowledge of the economic aspects of India-Nepal foreign relations.

Development and Prospects of China's Renewable Energy Export Trade under the Belt and Road Policy

Under the trend of economic globalization, the cost of renewable energy development has been decreasing globally, and renewable energy development has become the focus. But since 2018 the trade war between China and the United States has been escalating, and China's renewable energy development has been hindered by the United States because China's core technology is still not fully mastered. How to deal with related issues is crucial for China's development. The article uses literature analysis to analyze the impact of the US-China trade war and China's own overcapacity problem on China's renewable energy development, and to provide countermeasures to address the corresponding problems. This paper argues that the sustainable development of China's renewable energy industry faces three basic problems, which are restricted by the trade barriers of the US-China trade war, the lack of some core technologies, and the potential overcapacity problem in the future. In order to achieve sustainable development of renewable energy in China, it is suggested seizing the opportunity of the Belt and Road policy development with energy cooperation as the key area of development. By analyzing the various factors affecting the development of China's renewable energy industry, and by giving suggestions and countermeasures, this paper hopes to give a comprehensive understanding of the development history and prospects of the renewable energy industry in China and provide reliable suggestions for the development of related industries in China.

Climate Investment in China and the United States: Political, Monetary and Technological Drivers

China and the United States have seen expeditious investment growth in renewable energy and climate-related industries. Due to differences in political environments and governance structures, monetary settings, and prevailing market technologies and geographic conditions, the two countries demonstrate varied strengths and weaknesses in promoting climate investment. Both countries can learn from each other’s distinctive strengths and weaknesses to identify potential opportunities both for domestic climate programmes and energy cooperation to jointly pursue pathways to achieve net zero carbon footprints.

Paradiplomasi Pemerintah Nusa Tenggara Barat dengan International Council For Local Environmental Initiatives (ICLEI) Menuju Penerapan Renewable Energy

This study examines the Paradiplomasi conducted by the Provincial Government of West Nusa Tenggara with ICLEI in tackling the energy problems of NTB, where NTB is the only province that was selected as a Pilot Project in Indonesia, and included in the ICLEI Roadmap. NTB provincial government cooperation with ICLEI in the field of renewable energy since 2020-2023. This cooperation begins with an offer of ICLEI cooperation to the NTB provincial government regarding renewable energy. This research is based on the concept of Single-Themed paradiplomation proposed by Rodrigo Tavarez. According to Rodrigo Tavarez paradiplomasi Single Themed is the cooperation of local governments with foreign parties, with one focus areas of cooperation, in research that is the focus on renewable energy cooperation. The concept of paradiplomasi is also to help describe the implementation of paradiplomasi practices carried out by the NTB provincial government. This research is also coupled with the theory of Decision Making Process to assist the NTB provincial government in formulating by passing through several consideration processes, coordination which is the benchmark for NTB provincial government policy in the implementation of paradiplomasi with ICLEI.

A 33nW Fully Autonomous SoC With Distributed Cooperative Energy Harvesting and Multi-Chip Power Management for mm-Scale System-in-Fiber.

This article presents a fully autonomous system-on-chip (SoC) that can be distributed along a fiber strand, capable of simultaneously harvesting energy, cooperatively scaling performance, sharing power, and booting-up with other in-fiber SoCs for ultra-low-power (ULP) sensing applications. Utilizing a custom switched capacitor energy harvesting and power management unit (EHPMU), the SoC can efficiently redistribute and reuse harvested energy along the fiber. Integrated on-chip, the ULP RISC-V digital core and temperature sensor enable energy-efficient sensing and computation at nanowatt power levels. A dedicated ripple boot-up and cooperative dynamic voltage and frequency scaling (DVFS) further optimize the operation and physical size of the system. Fabricated in 65 nm, measurement results show that the proposed SoC achieves 33 nW power consumption for the whole chip under 92 Lux lighting condition and can reduce control power down to 2.7 nW for the EHPMU. With the proposed power sharing and cooperative DVFS techniques, the SoC reduces the illuminance needed to stay alive by >7× down to 12 Lux. Integrated into a mm-scale polymer fiber, our SoC demonstrates the feasibility of fully autonomous and ULP on-body sensing systems in resource-constrained fiber environments.

For and against climate capitalism

AbstractThis paper starts from the point that our current political‐economic‐climate conjuncture demands new engagements at the dynamic interface of climate capitalism. Using two cases of climate capitalist responses to climate challenges, I demonstrate the reparative potentials that emerge from the tensions and ambiguities that typify that conjuncture. In the first case, I examine financialised climate infrastructure in Jakarta, Indonesia, that promises to protect the city from flooding while enriching city elites, but against which diverse social movements and collectives have organised. The second case is about a cooperative energy provider in Australia, operating on the terrain of a neoliberalised electricity market and climate change, and working towards multifaceted repair by collectivising and redistributing surplus and modelling democratic engagement. Those involved in these vastly different cases both pursue repair and reparations through climate capitalist projects by reckoning with historical and present climate debts while constructing forward‐looking programs. As such, they chart the first steps towards reparative climate futures.

Asymmetric Nash bargaining-based cooperative energy trading of multi-park integrated energy system under carbon trading mechanism

This paper proposes an asymmetric Nash bargaining-based cooperative operation strategy for a multi-park integrated energy system (MPIES). During the design process, the model for each PIES is firstly constructed. Then, based on the Nash bargaining theory and carbon trading mechanism, a cooperative operation model is proposed to determine optimal power trading in the MPIES. To mitigate computational complexity, the designed non-convex and non-linear Nash bargaining problem is transformed into two subproblems. Particularly, an asymmetric bargaining-based method is incorporated within the benefit allocation maximization subproblem such that an equitable allocation of benefits can be achieved. In order to protect the privacy of each PIES, a distributed approach is designed for the proposed optimization problem, where the Fast-alternating direction method of multipliers (Fast-ADMM) algorithm is employed such that the calculation time is short enough to track the fast time-varying operation condition. The case study results show that, within an MPIES comprising three PIESs, with the proposed energy trading scheme, the operating cost of each PIES can be reduced by 13.52 %, 4.75 %, and 13.39 %, respectively, while the overall carbon emissions can be reduced by 7.9 %. The effectiveness of the proposed method is also validated through its application in a larger practical MPIES.

Optimal energy trading in cooperative microgrids considering hybrid renewable energy systems

This study presents a novel method for optimal energy trading within microgrids considering renewable energy (RE) integration. The proposed approach uses the hybridization of particle swarm optimization and gravitational search algorithms (PSO-GSA) with Nash Bargaining to optimize power flow and energy trading between interconnected MGs and the main utility grid. Unlike existing solutions, the proposed model promotes cooperative energy trading among MGs and the main grid, considering network constraints and RE's inherent uncertainty; consequently, it addresses key challenges related to model design, pricing fairness, power flow optimization, and network constraints. The proposed method is implemented in MATLAB® considering the interconnection of four different MGs, called cooperative MGs, which optimally enable energy trading within the cooperative MGs and main utility. Simulation results, case studies and comparisons demonstrate the relevance of the proposed hybrid PSO-GSA in terms of maximizing the RE utilization, reducing load burden on the main grid and substantial cost reductions, with monthly energy costs decreased by $60,720 compared to the base case of $94,551. Also, the robustness and efficiency of the proposed PSOGSA algorithm are evaluated by comparing it with other well-established metaheuristic optimization methods under the same system data, control variables, and constraints. This research significantly contributes to MG energy trading by proactively optimizing economic operations and increasing RE utilization while adapting cooperation among interconnected MGs.

Research of cooperative multi-stability composite energy collection with multi-frequency and broadband oscillation

Research of cooperative multi-stability composite energy collection with multi-frequency and broadband oscillation

Recent Progress in Energy Management of Connected Hybrid Electric Vehicles Using Reinforcement Learning

Review Recent Progress in Energy Management of Connected Hybrid Electric Vehicles Using Reinforcement Learning Min Hua 1, Bin Shuai 1,2, ∗ , Quan Zhou 1, Jinhai Wang 1, Yinglong He 3, and Hongming Xu 1 1 School of Engineering, University of Birmingham, Birmingham B152TT, UK 2 School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China 3 School of Mechanical Engineering Sciences, University of Surrey, Guildford, GU27XH, UK * Correspondence: shuaib@mail.tsinghua.edu.cn Received: 29 August 2023 Accepted: 11 December 2023 Published: 19 December 2023 Abstract: The growing adoption of hybrid electric vehicles (HEVs) presents a transformative opportunity for revolutionizing transportation energy systems. The shift towards electrifying transportation aims to curb environmental concerns related to fossil fuel consumption. This necessitates efficient energy management systems (EMS) to optimize energy efficiency. The evolution of EMS from HEVs to connected hybrid electric vehicles (CHEVs) represent a pivotal shift. For HEVs, EMS now confronts the intricate energy cooperation requirements of CHEVs, necessitating advanced algorithms for route optimization, charging coordination, and load distribution. Challenges persist in both domains, including optimal energy utilization for HEVs, and cooperative eco-driving control (CED) for CHEVs across diverse vehicle types. Reinforcement learning (RL) stands out as a promising tool for addressing these challenges. Specifically, within the realm of CHEVs, the application of multi-agent reinforcement learning (MARL) emerges as a powerful approach for effectively tackling the intricacies of CED control. Despite extensive research, few reviews span from individual vehicles to multi-vehicle scenarios. This review bridges the gap, highlighting challenges, advancements, and potential contributions of RL-based solutions for future sustainable transportation systems.

How ICT capital affects the spatial correlation of energy consumption-a new perspective based on spatially correlation network.

ICT has significantly transformed the traditional energy production and service methods, changed the correlation characteristics of energy consumption network, and contributed to the establishment of cross-regional, open, and synergistic energy ecological networks. In this paper, social network analysis (SNA), dynamic SYS-GMM model, and mediating effects model are employed to deliberate on the mechanism of ICT capital's influence on the spatial correlation of energy consumption from 2000 to 2019. Firstly, this study employs an enhanced gravity model to precisely delineate the spatial correlation network of energy consumption in China, further applies the SNA to analyze the network structural characteristics, and then uses the econometric model to investigate the influence mechanism and heterogeneity of ICT capital on the spatial correlation of energy consumption. The study demonstrates a progressive spatial correlation in energy consumption in China, with eastern provinces emerge as the center of the network, assuming the position of the "dominant player." Conversely, the central provinces act as the "bridge," and western provinces are positioned at the periphery, referred to as the "edge" of the network. ICT capital contributes to improving the energy consumption spatial correlation, mainly by stimulating green technology innovation, promoting industrial structure optimization, accelerating human capital accumulation, and reducing income inequality. As ICT capital expands, the eastern region becomes more preeminent as a network hub for energy consumption, the central region increases its dominance slightly, and the western region's marginal position does not change significantly. Furthermore, the presence of ICT capital significantly enhances the intensity of energy consumption spatial correlation more prominently for low-carbon pilot areas and high Internet level areas. This study guides provinces to fully utilize ICT capital to reach collaborative energy-saving goals, and promotes the breaking down of regional competitive barriers in energy systems to build cooperative energy conservation ecological networks.

Hierarchical optimization control strategy for intelligent fuel cell hybrid electric vehicles platoon in complex operation conditions

Encountering complex traffic conditions such as the dynamic interference of preceding and rear vehicles and gradients, a control strategy that simultaneously considers inter-vehicle cooperative control and energy economy is one of the key technologies, that improves traffic efficiency and exploits the energy-saving potential of platoon vehicles. In this paper, a hierarchical optimization control strategy is proposed for the intelligent fuel cell hybrid electric vehicles (FCHEV) platoon in a network-connected environment. The hierarchical control framework consists of upper speed control and lower power distribution. In the upper layer, the improved particle swarm optimization (PSO) algorithm is applied to calculate the global optimal speed trajectory, and then the model predictive control (MPC) is adopted for global speed trajectory tracking and self-adaptation, which can ensure the ego vehicle tracks the pre-calculated speed trajectory, and can re-plan the vehicle speed under the condition of safety priority when sudden disturbances occur in the foreground. The lower layer utilizes Q-learning (QL) to achieve power distribution between hybrid power sources, reducing the number of fuel cell starts and stops, slowing battery degradation and improving vehicle economy. Simulation results based on complex road conditions show that the proposed controller has good energy economy and tracking performance. Under the condition of the slope, the total platoon cost of the proposed strategy is reduced by 3.99% compared with the constant speed cruise strategy, and under the interference condition, the total platoon consumption cost of the proposed strategy decreased by 6.79% compared with adaptive cruise control (ACC).

A cooperative transactive multi-carrier energy control mechanism with P2P energy + reserve trading using Nash bargaining game theory under renewables uncertainty

Transactive Energy Control (TEC) as a market-based control is a critical notion for scheduling Multi-Carrier Energy Systems (MCESs) in local networks and forming an Energy Hub (EH). Nevertheless, implementing TEC for scheduling and controlling MCESs is extremely difficult due to the lack of a cooperative TEC model that accounts for network constraints and the uncertainty of Renewable Energy Sources (RESs). This paper defines and formulates Prosumer-Based Multi-Carrier Energy Systems (PB-MCESs), which include electricity, heat, cooling, and gas hubs to enable internal coordination of resources and flexibility extraction for PB-MCESs. Subsequently, Nash Bargaining Game Theory is employed to construct a cooperative TEC that prioritizes P2P energy trade. In addition to P2P energy trading, PB-MCESs can trade their reserve in a P2P fashion to mitigate their uncertainty. PB-MCESs estimate the level of uncertainty using stochastic programming and allot a reserve capacity based on this estimation in order to manage their uncertainty via P2P reserve trading and internal reserves. PB-MCES can also control their risk by altering their risk-taking factor in accordance with the Conditional Value-at-Risk (CVAR) index. Implementations have demonstrated that the proposed cooperative TEC decreases total costs by 17.14% and that the proposed P2P reserve trading reduces total costs by 16.32%.

UV/ visible/ NIR sensitized enhanced green luminescence of a newly synthesized salicylic acid coated Tb3+ and Yb3+ ions doped Y2O3 nano-composite phosphor: Prospect as luminescence solar collector material

The present work describes the enhancement of green luminescence of Tb3+ ion in a newly synthesized composite material that contains Tb3+ and Yb3+ ions in Y2O3 nano-phosphor (TYY) coated with salicylic acid (SA) doped polyvinyl alcohol (PVA) polymer matrix (TYY: SA/PVA). XRD results reflect nearly 50 nm size of crystallite in TYY phosphor. On coating, the same with SA-doped PVA polymer visualizes the actual particulate size in microns due to aggregation of nano-crystallites of TYY and indicates the formation of organic/inorganic composite material. In down-conversion of UV radiation, both singlet and triplet states of excited state intra-molecular proton transfer species of SA in TYY: SA/PVA composite material transfer their UV (200 nm–370 nm) excitation energy through Fӧrster and Dexter mechanism to 5D4 state of Tb3+ ions, which enhances green luminescence of Tb3+ ions [5D4 →7F5] by nineteen-fold and decrease in the NIR luminescence intensity of Yb3+ ion [2F5/2 → 2F7/2] in TYY/SA/PVA as compared to the TYY sample indicates coating of SA/PVA polymer on the nano phosphor blocks the quantum cutting process from 4f75 d1 excited state of Tb3+ ions to 2F5/2 state of Yb3+ ions. In contrast, TYY: SA/PVA and TYY material exhibit intense green luminescent emission of Tb3+ ions by up-conversion of NIR radiation through a cooperative energy transfer between two Yb3+ ions [2F5/2 → 5D4 excitation]. A thin layer coating of composite phosphor material shows enhancement in the external quantum efficiency of the solar cell by increasing the efficiency of ∼3–5 % in the 400 nm–1000 nm range compared to the bare solar cell. I–V characteristics of the composite show that simultaneous excitation of this composite material with UV/Visible/NIR radiation increases the photon density in blue, green, and NIR regions for reabsorption by the photovoltaic cell. This preliminary study signifies the scope for developing brighter, high photon flux luminescent composite luminescent solar collecter material with low cost.

A Novel Energy Management Method for Networked Multi-Energy Microgrids Based on Improved DQN

The networked Multi-Energy Microgrids (MEMGs) can significantly improve the economic efficiency of operation through energy cooperation and complementarity. However, the complex energy trading mechanism and multi-energy coupling decision process present various challenges for the optimal operation of MEMGs, such as the large decision space and the difficulty of converging to the global optimal solution. This study presents a novel energy management method for MEMG based on an improved Deep Q-network (IDQN) to solve these problems. Firstly, the equivalent model of an external interactive environment is constructed for each MEMG by using a novel Kriging surrogate enhanced Gate Recurrent Unit-Temporal Convolutional Network (GRU-TCN), which requires only the accessible energy exchange data and the public and independent information as input. The computational complexity of the reinforcement learning reward function is reduced accordingly by using this equivalent model. Subsequently, an improved k-crossover sampling strategy with reduced access frequency of the low reward actions is proposed to replace the traditional.-greedy strategy to further improve the original DQN. This effectively addresses the problem of inefficient exploration in a large-scale action space. Lastly, the proposed method is verified using a test system with three MEMGs. The result demonstrates that the proposed IDQN method presents better convergence and stability than the traditional DQN, and presents better energy management and operational efficiency.