Article
Multidisciplinary Sciences
Clara Camarasa, Erika Mata, Juan Pablo Jimenez Navarro, Janet Reyna, Paula Bezerra, Gerd Brantes Angelkorte, Wei Feng, Faidra Filippidou, Sebastian Forthuber, Chioke Harris, Nina Holck Sandberg, Sotiria Ignatiadou, Lukas Kranzl, Jared Langevin, Xu Liu, Andreas Mueller, Rafael Soria, Daniel Villamar, Gabriela Prata Dias, Joel Wanemark, Katarina Yaramenka
Summary: Buildings are crucial in achieving global emissions reduction targets, but the current policy scenarios and decarbonization scenarios are not sufficient to achieve the 1.5 degrees C goal.
NATURE COMMUNICATIONS
(2022)
Article
Green & Sustainable Science & Technology
Benedikt Bruckner, Klaus Hubacek, Yuli Shan, Honglin Zhong, Kuishuang Feng
Summary: Carbon inequality reflects global wealth and income inequalities, with wealthy nations having high levels of consumption-based carbon emissions. This study shows that poverty alleviation has limited impact on global emissions, although emissions in poorer countries could more than double. Inequality in wealth and income distribution has direct consequences on consumption patterns, leading to carbon inequality. Although lifting people out of poverty under the United Nations Sustainable Development Goal 1 results in only small relative increases in global emissions, poverty alleviation can significantly increase carbon emissions in low- and lower-middle-income countries in sub-Saharan Africa. To ensure poverty alleviation without exceeding climate targets, high-emitting countries need to reduce their emissions substantially.
NATURE SUSTAINABILITY
(2022)
Article
Environmental Sciences
Jianchun Fang, Giray Gozgor, Mantu Kumar Mahalik, Hemachandra Padhan, Ruihui Xu
Summary: This study found that real per capita income level has a positive impact on energy demand, while real energy price and economic complexity have negative effects on it. Increasing economic complexity can reduce energy demand, which is beneficial for the environmental health of OECD countries.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Studies
Yi Shan, Zhengshi Ren
Summary: In the context of Cop26, the study examines the impact of renewable energy consumption and tourism development on high-quality economic development (HQED) in China. Findings suggest that renewable energy can promote HQED, but the effect is small and does not have spatial spillover. However, tourism development inhibits HQED due to its energy consumption and CO2 emissions. The interaction between tourism development and renewable energy also hinders HQED, and renewable energy consumption has a partial mediating role in the process.
Article
Green & Sustainable Science & Technology
Chengfang Huang, Zhengtao Zhang, Ning Li, Yuan Liu, Xi Chen, Fenggui Liu
Summary: The study found that China's future energy demand will continue to grow, potentially leading to negative impacts on GDP. While the energy sector will benefit, other sectors may suffer negative ripple effects due to supply-demand imbalances.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Economics
Shunsuke Managi, Masayuki Jimichi, Chika Saka
Summary: This study found that human capital is crucial for equitable distribution of income, and investing in human capital development could be an effective solution to reduce inequalities.
ECONOMIC ANALYSIS AND POLICY
(2021)
Article
Economics
Fengqin Liu, Jae-yeon Sim, Huaping Sun, Bless Kofi Edziah, Philip Kofi Adom, Shunfeng Song
Summary: There is concern over the impact of economic globalization on energy consumption and efficiency, with contradictory findings from previous studies. This study, using global data from 141 countries, examines the effects of economic globalization on energy efficiency. The findings suggest that economic globalization has a positive effect on energy efficiency, but controlling for certain factors is necessary to avoid bias in the results. Additionally, the study reveals that the impact of economic globalization on energy efficiency varies across income levels.
CHINA ECONOMIC REVIEW
(2023)
Article
Multidisciplinary Sciences
Mohammed Basheer, Victor Nechifor, Alvaro Calzadilla, Claudia Ringler, David Hulme, Julien J. Harou
Summary: This article introduces a national-level design framework that combines economy-wide sustainability simulation and artificial intelligence-driven multi-objective, multi-SDG policy search and machine learning to help identify efficient policy portfolios that balance economic, social, and environmental goals.
NATURE COMMUNICATIONS
(2022)
Article
Economics
Muhammad Shahbaz, Malin Song, Shabbir Ahmad, Xuan Vinh Vo
Summary: The study finds that human capital has a negative impact on all types of energy consumption, there is a positive relationship between energy usage and economic growth, but a negative relationship between R&D expenditures and energy consumption. Additionally, there is a one-way causal effect of human capital on various forms of energy consumption.
Article
Energy & Fuels
A. Komarova, I. Filimonova, A. A. Kartashevich
Summary: This paper examines the relationship between economic growth and energy consumption in different countries. It finds that the impact of energy consumption on gross domestic product (GDP) is stronger in non-OECD countries compared to OECD countries, which can be attributed to the extensive nature of economic development. This relationship is particularly evident in regions such as the Asia-Pacific, Africa, and Central and South America. The paper also calculates the energy intensity of countries worldwide and analyzes the main trends for different country groups.
Article
Computer Science, Interdisciplinary Applications
Jian Liu, Zhuoni Dai, Rui Bo, Fanlin Meng, Meng Ou
Summary: This study analyzed the effects of self-consumption demand on the joint economic dispatch of prosumers with energy storage and distributed energy sources. It identified two possible scenarios depending on whether the generation of distributed energy sources can meet prosumers' self-consumption. The study found the optimal storage scheduling strategy for each scenario and provided decision-making guidance for prosumers with energy storage based on dynamic programming.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Thermodynamics
Yiming Li, Saeed Solaymani
Summary: Industry and agriculture in Malaysia are main contributors to economic growth and employment, as well as important players in total exports. The study shows that overall economic growth is the main factor leading to an increase in energy consumption, with long-term impact being greater than short-term impact. Exports are the second largest contributor to energy demand in the overall economy and agriculture sector.
Article
Business
Dervis Kirikkaleli, Hasan Gungor, Tomiwa Sunday Adebayo
Summary: This study found that financial development and renewable energy consumption reduce consumption-based CO2 emissions in Chile, while economic growth and electricity consumption increase carbon emissions. Encouraging research and development of low-carbon technologies and renewable energy investments, while reducing consumption of nonrenewable energy sources, should be a focus for policymakers.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2022)
Article
Green & Sustainable Science & Technology
Mohammad Mafizur Rahman, Xuan-Binh (Benjamin) Vu, Son Nghiem
Summary: This study investigates the importance of energy consumption, human capital, and financial development on economic growth in six ASEAN countries from 1995 to 2017. The results suggest that these variables positively contribute to the economic growth of the countries. However, the countries still heavily rely on physical capital and labor for their economic growth.
Article
Multidisciplinary Sciences
Xiangdan Piao, Shunsuke Managi
Summary: This study examines the relationship between education levels and sustainable lifestyles in protecting the environment and economic growth. It found that higher education levels are associated with increased environmentally friendly behaviors and sustainable energy consumption, as well as higher household income in all 37 countries.
SCIENTIFIC REPORTS
(2023)
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.