Showing papers in "Energy in 2021"
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TL;DR: In this article, a U-shaped quadratic relationship between environmental pollution and income level has been determined for both CO2 emissions and ecological footprint, and the results also suggest that globalization, trade openness, and income drive environmental pollution while increasing human capital reduces the ecological footprint.
340 citations
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TL;DR: In this article, the authors highlight the current state of the application of fuel cells in the automotive industry, as well as the technological advances made in comparison to the early years of the automotive sector.
312 citations
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TL;DR: This review article critically highlights the latest trends in energy storage applications, both cradle and grave and suggests and solutions in mitigating some of these challenges in order to improve the overall performance of these energy systems.
308 citations
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TL;DR: In this paper, the authors highlight the technical feasibility and economic viability of 100% renewable energy systems including the power, heat, transport and desalination sectors and provide an energy transition pathway that could lead from the current fossil-based system to an affordable, efficient, sustainable and secure energy future for the world.
260 citations
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TL;DR: In this article, the advantages and shortcomings of thermal enhancement technologies in different structural micro heat sinks are presented, and the barriers and challenges for the developments of thermal management of electronic devices by micro heat sink are discussed, and future directions of the research topic are provided.
217 citations
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TL;DR: In this article, the authors presented a novel modified battery module configuration employing two-layer nanoparticle enhanced phase change materials (nePCM), and compared the cooling performance of proposed battery thermal management systems (BTMS) at an ambient temperature ranging from 30°C to 40°C with external natural convection conditions.
209 citations
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TL;DR: In this article, the authors simulated the scenarios of coal resource tax and investment in renewables by applying China Energy-Environment-Economy Analysis (CEEEA/CGE) model, and the simulation results showed the different mechanisms between the tax and the investment.
184 citations
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TL;DR: In this article, the effect of natural gas, renewable energy and nuclear energy consumption on economic growth and carbon dioxide emissions in the ten highest CO2 emitting countries within a multivariate context for the duration of 1990-2014.
174 citations
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TL;DR: In this article, the authors investigated the determinants of economic growth in Pakistan from 1972 to 2018 using the dynamic autoregressive distributed lag (ARDL) simulations approach to analyze positive and negative changes in energy consumption, industrial growth, urbanization, and carbon emissions on economic growth.
158 citations
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TL;DR: In this paper, the authors analyzed the dynamic association between financial development, natural resources, globalization, non-renewable, and renewable energy consumption for eight Arctic countries from 1990 to 2017.
147 citations
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TL;DR: A novel stacking ensemble-based algorithm is proposed that copes with the stochastic variations of the load demand using a stacked generalization approach and is validated using two datasets from different locations: Malaysia and New England.
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University of Malaya1, Duy Tan University2, China Medical University (Taiwan)3, King Abdulaziz University4, P A College of Engineering5, B.V.B. College of Engineering and Technology6, RMIT University7, Center for Advanced Materials8, King Khalid University9, Virginia Tech College of Natural Resources and Environment10, Adama University11
TL;DR: In this paper, the performance and emission characteristics of a modified common rail direct injection (CRDI) diesel engine fueled by Ricinus communis biodiesel (RCME20), diesel (80%), and their blends with strontium-zinc oxide (Sr@ZnO) nanoparticle additives were evaluated.
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TL;DR: The relevance of the studied models was evaluated for real-time and short-term solar energy forecasting to ensure optimized management and security requirements in this field while using an integral solution based on a single tool and an appropriate predictive model.
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TL;DR: In this article, the authors investigated the combined influence of energy prices and non-linear fiscal decentralization on carbon emissions in the presence of institutional quality and gross domestic product in the model.
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TL;DR: In this article, the authors tried to connect sustainable development goals with energy efficiency for 20 Asian and Pacific (AP) countries using Data Envelopment Analysis (DEA) from 2000 to 2018.
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TL;DR: In this paper, a Seasonal Auto-Regression Integrated Moving Average (SARIMA) model is proposed to predict hourly-measured wind speeds in the coastal/offshore area of Scotland.
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TL;DR: A novel intelligent fault diagnosis method for Lithium-ion batteries based on the support vector machine, which can identify the fault state and degree timely and efficiently and provides the theoretical basis for future fault hierarchical management strategy of the battery system.
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TL;DR: A comprehensive review of hydrogen production from methanol is presented in this paper, which is conducive to the prospective development of a hydrogen-methanol economy, including catalysts, catalysts with spinel structures, and catalysts that have high selectivity towards H2 and CO2.
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TL;DR: In this article, the authors investigated the impact of export product diversification, extensive margin and intensive margin on emerging economies energy demand covering the period from 1971 to 2014, and concluded that export diversification and extensive margin help to reduce the overall energy demand in NICs.
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TL;DR: This paper proposed a novel adaptive square root extended Kalman filter together with the Thevenin equivalent circuit model which can solve the problem of filtering divergence caused by computer rounding errors and has robust and accurate SOC estimation results.
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TL;DR: It can be evaluated from the comparison thatGLSTM and its variants provide accurate, reliable, and robust predictions of wind power of seven wind farms in Europe and Wilcoxon signed-rank test demonstrates that GLSTM is significantly different from standard LSTM.
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TL;DR: The proposed deep learning model based on Bi-directional long short short-term memory, sine cosine algorithm and complete ensemble empirical mode decomposition with adaptive noise for solar radiation forecasting can obtain higher prediction accuracy than the existing models for all datasets and forecasting horizons.
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TL;DR: In this paper, the authors identify differences and similarities between 4GDH and 5GDHC regarding aims and abilities and show that these two are common not only in the overarching aim of decarbonization but also to some extent share the five essential abilities first defined for 4GsDH.
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TL;DR: In this paper, the authors explored the dynamic links among energy transitions, energy consumption, and sustainable economic growth in thirty-eight International Energy Agency (IEA) countries and found long-run relationships among the variables.
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TL;DR: A novel hybrid forecasting system is proposed in this paper that includes effective data decomposition techniques, recurrent neural network prediction algorithms and error decomposition correction methods, and decomposes the error to correct the previously predicted wind speed.
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TL;DR: The proposed C/GMRES algorithm shows great solving quality and real-time applicability in PEMS by comparing with sequence quadratic programming and genetic algorithms.
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TL;DR: A stochastic energy management algorithm is proposed to address the participation of smart MGs in the electricity market, which minimizes the total cost and finds the optimal size of different components, including WT, PV unit, fuel cell, Electrolyzer, battery, and microturbine.
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TL;DR: In this paper, the authors present national low-emission scenarios to inform low emission development strategies for Australia, Brazil, Canada, China, EU-28, India, Indonesia, Japan, Republic of Korea, Russia and USA.
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TL;DR: In this article, the authors examine the heterogeneous impacts of energy efficiency, renewable energy consumption (REC), and other factors on economic growth in BRICS countries for 1990-2014, and reveal that energy efficiency is an important source for economic growth.
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TL;DR: The experimental results reveal that the proposed combined forecasting system can provide effective wind speed point and interval forecasts and is deemed more useful for the scheduling and management of electric power systems than other benchmark models.