A review of CO2 emissions reduction technologies and low-carbon development in the iron and steel industry focusing on China

Renewable and Sustainable Energy Reviews, Journal Year: 2021, Volume and Issue: 143, P. 110846 - 110846

Published: March 18, 2021

Language: Английский

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Hydrogen energy storage integrated hybrid renewable energy systems: A review analysis for future research directions

International Journal of Hydrogen Energy, Journal Year: 2022, Volume and Issue: 47(39), P. 17285 - 17312

Published: April 9, 2022

Language: Английский

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Progress in green ammonia production as potential carbon-free fuel

Fuel, Journal Year: 2021, Volume and Issue: 299, P. 120845 - 120845

Published: April 25, 2021

Language: Английский

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How environmental taxes and carbon emissions are related in the G7 economies?

Renewable Energy, Journal Year: 2022, Volume and Issue: 187, P. 645 - 656

Published: Feb. 1, 2022

This paper explores the impact of an environmental tax on carbon emissions for G7 nations from 1994 to 2014 and importance major drivers such as energy use, economic complexity, natural resources rent growth. The study also verifies Environmental Kuznets Curve Hypothesis countries marginal effects traditional consumption, renewable consumption. paper's unique contribution is that it investigates first time moderating role non-renewable CO2 emissions. results suggest taxes effectively reduce confirm consumption rise with level taxation in a statistically significant way. findings indicate strict laws will allow businesses shift production towards cleaner methods. Finally, proposes redistributing revenues research development sustainable technology programmes would empower achieve United Nations' SDG-7 SDG-13 goals.

Language: Английский

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A review of Africa's transition from fossil fuels to renewable energy using circular economy principles

Renewable and Sustainable Energy Reviews, Journal Year: 2020, Volume and Issue: 137, P. 110609 - 110609

Published: Dec. 10, 2020

Language: Английский

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Renewable energy, carbon emission and economic growth: A revised environmental Kuznets Curve perspective

Journal of Cleaner Production, Journal Year: 2019, Volume and Issue: 235, P. 1338 - 1352

Published: July 8, 2019

Language: Английский

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A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges

IEEE/CAA Journal of Automatica Sinica, Journal Year: 2020, Volume and Issue: 8(2), P. 273 - 302

Published: Nov. 25, 2020

With the deep combination of both modern information technology and traditional agriculture, era agriculture 4.0, which takes form smart has come. Smart provides solutions for agricultural intelligence automation. However, security issues cannot be ignored with development brought by technology. In this paper, three typical modes (precision facility order agriculture) are presented. Then, 7 key technologies 11 applications derived from above modes. Based on applications, 6 privacy countermeasures (authentication access control, privacy-preserving, blockchain-based data integrity, cryptography management, physical countermeasures, intrusion detection systems) summarized discussed. Moreover, challenges analyzed organized into two aspects: 1) production, 2) Most current research projects have not taken equipment as potential threats. Therefore, we did some additional experiments based solar insecticidal lamps Internet Things, results indicate that an impact security. Finally, more (5 G communication, fog computing, Everything, renewable energy management system, software defined network, virtual reality, augmented cyber datasets described future directions agriculture.

Language: Английский

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A Critical Review of Wind Power Forecasting Methods—Past, Present and Future

Energies, Journal Year: 2020, Volume and Issue: 13(15), P. 3764 - 3764

Published: July 22, 2020

The largest obstacle that suppresses the increase of wind power penetration within grid is uncertainties and fluctuations in speeds. Therefore, accurate forecasting a challenging task, which can significantly impact effective operation systems. Wind also vital for planning unit commitment, maintenance scheduling profit maximisation traders. current development cost-effective methods modern turbines benefits from advancement approaches. This paper systematically reviewed state-of-the-art approaches with regard to physical, statistical (time series artificial neural networks) hybrid methods, including factors affect accuracy computational time predictive modelling efforts. Besides, this study provided guideline process screening, allowing turbine/farm operators identify most appropriate based on horizons, input features, time, error measurements, etc. More specifically, further recommendations research community were proposed literature.

Language: Английский

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A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery

Applied Energy, Journal Year: 2021, Volume and Issue: 300, P. 117346 - 117346

Published: July 9, 2021

Lithium-ion batteries are used in a wide range of applications including energy storage systems, electric transportations, and portable electronic devices. Accurately obtaining the batteries' state health (SOH) is critical to prolong service life battery ensure safe reliable operation system. Machine learning (ML) technology has attracted increasing attention due its competitiveness studying behavior complex nonlinear systems. With development big data cloud computing, ML potential SOH estimation. In this paper, five most studied types algorithms for estimation systematically reviewed. The basic principle each algorithm rigorously derived followed by flow charts with unified form, advantages applicability different methods compared from theoretical perspective. Then, ML-based comprehensively following three aspects: performance various under metrics, publication trend obtained counting publications past ten years, training modes considering feature extraction selection methods. According comparison results, it can be concluded that amongst these methods, support vector machine artificial neural network still research hotspots. Deep great estimating aging conditions especially when available. Moreover, ensemble method provides an emerging alternative trading-off between size accuracy. Finally, outlooks on future closed, hoping provide some inspiration applying

Language: Английский

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The rise of electric vehicles—2020 status and future expectations

Progress in Energy, Journal Year: 2021, Volume and Issue: 3(2), P. 022002 - 022002

Published: March 25, 2021

Abstract Electric vehicles (EVs) are experiencing a rise in popularity over the past few years as technology has matured and costs have declined, support for clean transportation promoted awareness, increased charging opportunities, facilitated EV adoption. Suitably, vast body of literature been produced exploring various facets EVs their role energy systems. This paper provides timely comprehensive review scientific studies looking at aspects EVs, including: (a) an overview status light-duty-EV market current projections future adoption; (b) insights on opportunities beyond light-duty EVs; (c) cost performance evolution batteries, power electronics, electric machines that key components success; (d) charging-infrastructure with focus modeling used to project requirements economics public charging; (e) impact systems multiple scales, ranging from bulk distribution networks; (f) into life-cycle emissions focusing (g) expectations synergies between other emerging trends technologies. The goal this is provide readers snapshot state art help navigate by comparing critically comprehensively synthesizing general insights. detailed paints positive picture on-road transportation, authors remain hopeful remaining technology, regulatory, societal, behavioral, business-model barriers can be addressed time transition toward cleaner, more efficient, affordable solutions all.

Language: Английский

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