Review
Green & Sustainable Science & Technology
Waed Safar
Summary: This paper examines the relationship between carbon dioxide emissions and income inequality in France, focusing on the choice of income inequality indicators. The study finds that income inequality has varying impacts on CO2 emissions depending on the income definition used, with net inequality indicators reducing CO2 emissions.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Development Studies
Sedat Alatas, Tugba Akin
Summary: This paper examines the impact of income inequality on sectoral emissions in OECD economies. The findings suggest that the effect of inequality varies across sectors, highlighting the need for sector-specific policies to reduce emissions.
JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT
(2022)
Article
Environmental Studies
Sudeshna Ghosh, Subrata Kumar Mitra
Summary: The study found that tourism income has varying impacts on countries with different levels of economic development: the inequality index in highly developed countries remains unaffected, developed countries show Kuznets curve behavior, and developing countries exhibit an inverted Kuznets curve behavior.
TOURISM MANAGEMENT
(2021)
Article
Multidisciplinary Sciences
Xiaoyu Li, Lan Xu
Summary: The study found an inverted U-shaped relationship between the Environment Degradation Index (EDI) and the Human Development Index (HDI), recommending the government to accelerate human development to surpass the turning point of this relationship as soon as possible.
Article
Green & Sustainable Science & Technology
Myo Myo Htike, Anil Shrestha, Makoto Kakinaka
Summary: The study revealed that there is a varied relationship between per capita income and CO2 emissions across different economic sectors, suggesting the need for targeted environmental policies to reduce emissions and promote sustainable economic growth.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2022)
Article
Environmental Sciences
Ashim Kumar Kar
Summary: This study examines the relationship between economic growth and CO2 emissions in the Baltic countries and tests the validity of the environmental Kuznets curve hypothesis. The results show that the inverted U-shaped EKC hypothesis does not hold in these countries, while the pollution haven hypothesis is supported. The study also finds that energy consumption and financial development have an impact on CO2 emissions. Causality tests confirm bi-directional causality between economic growth, energy use, financial development, and CO2 emissions.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Murat Can Genc, Aykut Ekinci, Burchan Sakarya
Summary: The study reveals that in Turkey, CO2 emissions are influenced by economic growth and energy consumption, but are restrained by the volatility of economic growth. The validity of the environmental Kuznets curve in Turkey was also confirmed in this study.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Review
Geosciences, Multidisciplinary
Muhammad Azfar Anwar, Qingyu Zhang, Fahad Asmi, Nazim Hussain, Auke Plantinga, Muhammad Wasif Zafar, Avik Sinha
Summary: This study utilizes bibliometric analysis and data visualization techniques to empirically determine the tendencies and patterns in the Environmental Kuznets Curve (EKC) literature, as well as explore the intellectual structure, construct development, evolution, collaborations, and research clusters within the EKC research domain. Most studies in the EKC domain focus on developing regions facing the dual challenge of growth and environmental sustainability, and the study categorizes the EKC knowledge domain into major research areas for further exploration.
Article
Environmental Sciences
Mihaela Simionescu
Summary: This paper examines GHG emissions in Central and Eastern European countries from 1990 to 2019 and proposes economic policies to reduce pollution, finding an inverse N-shaped relationship between GDP and GHG emissions, and an N-shaped relationship between value added in agriculture and pollution. The study confirms a U-shaped renewable energy Kuznets Curve for overall economy and agriculture, suggesting that reducing pollution can promote sustainable development in these countries.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Claudiu Tiberiu Albulescu, Maria-Elena Boatca-Barabas, Andra Diaconescu
Summary: The study finds that an increase in policy stringency has a negative impact on CO2 emissions, especially in countries with lower emissions. Additionally, policy stringency measures only became effective in EU countries and after the implementation of the Kyoto agreement.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Multidisciplinary Sciences
Jin Zhao, Ghulam Rasool Madni
Summary: The modern society is enjoying luxury and comfort, but future generations may face pollution and resource scarcity. Global warming and climate change are major policy concerns worldwide. Institutional reforms play a crucial role in environmental performance, especially in developing countries.
Article
Green & Sustainable Science & Technology
Mehmet Demiral, Emrah Eray Akca, Ipek Tekin
Summary: This study reveals that increasing environmental policy stringency does not reduce CO2 emissions, while higher levels of industrialization and trade openness lead to more CO2 emissions. However, increasing energy productivity can significantly mitigate CO2 emissions. In middle-income countries, inward foreign direct investment is negatively associated with CO2 emissions, while outward foreign direct investment is positively associated with CO2 emissions in high-income countries.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2021)
Article
Environmental Sciences
Megha Chhabra, Arun Kumar Giri, Arya Kumar
Summary: This paper examines the role of trade openness and innovation in reducing carbon dioxide emissions in middle-income countries. The findings suggest that there is no inverted U-shaped relationship between innovation and CO2 emissions. Additionally, the study finds that environmental deterioration is more severe in low middle-income countries compared to upper middle-income countries. The existence of the environmental Kuznets curve is supported by the data for both country groups, but the decline in the curve is not significant for low middle-income countries.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Serdar Ongan, Cem Isik, Azka Amin, Umit Bulut, Abdul Rehman, Rafael Alvarado, Munir Ahmad, Sahir Karakaya
Summary: This study introduces the use of the Armey curve hypothesis (ACH) to test the environmental Kuznets curve hypothesis (EKCH). The two hypotheses have similar inverted U-shaped curves, so they are combined into a single composite model to calculate the optimal level of government expenditures that will affect CO2 emissions for USMCA countries. The results show that only Mexico verifies the EKCH through the AC model. Additionally, the study calculates the optimal government spending level for Mexico, which will increase both per capita real GDP (RGDPPC) and CO2 emissions by 26.4% of RGDPPC.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Ecology
Nicolas Blampied
Summary: This paper models the relationship between economic growth and the environment, suggesting that developing economies may face an environmental constraint that could slow down income convergence and reduction of income inequality worldwide.
ECOLOGICAL ECONOMICS
(2021)
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.