Progress in electrocatalytic nitrate reduction for green energy:Catalyst engineering,mechanisms,and techno-economic feasibility

Ammonia(NH_(3))is an irreplaceable chemical that has been widely demanded to keep the sustainable development of modern society.However,its industrial production consumes a huge amount of energy and releases extraordinary greenhouse gases(GHGs),leading to various environmental issues.Achieving the green production of ammonia is a great challenge,which has been extensively pursued in the last decade.In this review,the most promising strategy,electrochemical nitrate reduction reaction(e-NO_(3)RR),is comprehensively investigated to give a complete understanding of its development and mechanism and provide guidance for future directions.However,owing to the complex reactions and limited selectivity,a comprehensive understanding of the mechanisms is crucial to further development and commercialization.Moreover,NO_(3)^(-)RR is a promising strategy for simultaneous water treatment and NH_(3)production.A detailed overview of the recent progress in NO_(3)^(-)RR for NH_(3)production with nontransition and transition metal based electrocatalysts is summarized.In addition,critical advanced techniques,future challenges,and prospects are discussed to guide future research on transition metal-based catalysts for commercial NH_(3)synthesis by NO_(3)^(-)reduction.

Solar‑Driven Sustainability:Ⅲ–ⅤSemiconductor for Green Energy Production Technologies

Long-term societal prosperity depends on addressing the world’s energy and environmental problems,and photocatalysis has emerged as a viable remedy.Improving the efficiency of photocatalytic processes is fundamentally achieved by optimizing the effective utilization of solar energy and enhancing the efficient separation of photogenerated charges.It has been demonstrated that the fabrication ofⅢ–Ⅴsemiconductor-based photocatalysts is effective in increasing solar light absorption,long-term stability,large-scale production and promoting charge transfer.This focused review explores on the current developments inⅢ–Ⅴsemiconductor materials for solar-powered photocatalytic systems.The review explores on various subjects,including the advancement ofⅢ–Ⅴsemiconductors,photocatalytic mechanisms,and their uses in H2 conversion,CO_(2)reduction,environmental remediation,and photocatalytic oxidation and reduction reactions.In order to design heterostructures,the review delves into basic concepts including solar light absorption and effective charge separation.It also highlights significant advancements in green energy systems for water splitting,emphasizing the significance of establishing eco-friendly systems for CO_(2)reduction and hydrogen production.The main purpose is to produce hydrogen through sustainable and ecologically friendly energy conversion.The review intends to foster the development of greener and more sustainable energy source by encouraging researchers and developers to focus on practical applications and advancements in solar-powered photocatalysis.

A Hybrid Deep Learning Approach for Green Energy Forecasting in Asian Countries

Electricity is essential for keeping power networks balanced between supply and demand,especially since it costs a lot to store.The article talks about different deep learning methods that are used to guess how much green energy different Asian countries will produce.The main goal is to make reliable and accurate predictions that can help with the planning of new power plants to meet rising demand.There is a new deep learning model called the Green-electrical Production Ensemble(GP-Ensemble).It combines three types of neural networks:convolutional neural networks(CNNs),gated recurrent units(GRUs),and feedforward neural networks(FNNs).The model promises to improve prediction accuracy.The 1965–2023 dataset covers green energy generation statistics from ten Asian countries.Due to the rising energy supply-demand mismatch,the primary goal is to develop the best model for predicting future power production.The GP-Ensemble deep learning model outperforms individual models(GRU,FNN,and CNN)and alternative approaches such as fully convolutional networks(FCN)and other ensemble models in mean squared error(MSE),mean absolute error(MAE)and root mean squared error(RMSE)metrics.This study enhances our ability to predict green electricity production over time,with MSE of 0.0631,MAE of 0.1754,and RMSE of 0.2383.It may influence laws and enhance energy management.

Water Splitting:From Electrode to Green Energy System

Hydrogen(H2)production is a latent feasibility of renewable clean energy.The industrial H2 production is obtained from reforming of natural gas,which consumes a large amount of nonrenewable energy and simultaneously produces greenhouse gas carbon dioxide.Electrochemical water splitting is a promising approach for the H2 production,which is sustainable and pollution-free.Therefore,developing efficient and economic technologies for electrochemical water splitting has been an important goal for researchers around the world.The utilization of green energy systems to reduce overall energy consumption is more important for H2 production.Harvesting and converting energy from the environment by different green energy systems for water splitting can efficiently decrease the external power consumption.A variety of green energy systems for efficient producing H2,such as two-electrode electrolysis of water,water splitting driven by photoelectrode devices,solar cells,thermoelectric devices,triboelectric nanogenerator,pyroelectric device or electrochemical water-gas shift device,have been developed recently.In this review,some notable progress made in the different green energy cells for water splitting is discussed in detail.We hoped this review can guide people to pay more attention to the development of green energy system to generate pollution-free H2 energy,which will realize the whole process of H2 production with low cost,pollution-free and energy sustainability conversion.

Green Energy & Environment

(Quarterly)http://www.keaipublishing.com/geeAIMS&SCOPE Green Energy&Environment(GEE)is a peer-reviewed international and interdisciplinary research journal that focuses on all aspects of green energy and environment.This journal aims at presenting the world’s leading researches,ranging from either new or significantly improved protocols or methodologies to practical application of such fields.

Green Energy & Environment

(Quarterly)http://www.keaipublishing.com/gee AIMS&SCOPE Green Energy & Environment(GEE)is a peer-reviewed international and interdisciplinary research journal that focuses on all aspects of

Green Energy & Environment

(Quarterly)http://www.keaipublishing.com/geeAIMS&SCOPE Green Energy&Environment(GEE)is a peer-reviewed international and interdisciplinary research journal that focuses on all aspects of green energy and environment.This journal aims at presenting the world’s leading researches,ranging from either new or significantly improved protocols or methodologies to practical application of such fields.

Consensus‑based multidimensional due diligence of fintech‑enhanced green energy investment projects

The purpose of this study is to provide a hybrid group decision-making approach to evaluate fintech-based financial alternatives for green energy investment projects.First,the multidimensional factors of due diligence for fintech-based financing alternatives of green energy investment projects are identified.In this regard,the balanced scorecard perspectives are considered.Next,consensus-based group decision-making analysis is performed.Second,impact-relation directions for fintech-based financing alternatives of green energy investment projects are defined.For this purpose,the spherical fuzzy Decision-Making Trial and Evaluation Laboratory(DEMATEL)methodology is applied.The novelty of this study is its proposal of a new outlook to due diligence of fintech-project financing for renewable energy investments by using the group and integrated decision-making approaches with spherical fuzzy DEMATEL.The findings indicate that customer expectations are the most essential factor for the revenue sharing and rewarding models.Additionally,this study identified that organizational competency plays the most important role with respect to the peer-to-business debt model.In contrast,the conclusion was reached that financial returns have the greatest importance for the equity sharing model.

Novel Nano Structure for Green Energy Harvesting at 10μm Thermal Radiation

In recent years, the potential of renewable green energy sources has been extensively studied. The proven technology which is photovoltaic solar cells strictly depends on daylight and produces low-efficiently. To overcome the restrictions, one technology studied is through harvesting the thermal radiation energy which can provide a 24-hour energy source. The continuity of energy sources promises very good energy conversion especially for military applications. This article presents a new structure that can harvest the abundant thermal radiation energy into usable energy at the wavelength of l0 lum. A rectangular structure with a perturbation slit was designed to integrate with a rectifier circuit for green energy conversion. The slit tunnel junction guided the electromagnetic field into a junction where the energy could be collected and converted. An enhancement factor of approximately 110.6 can be achieved by a perturbation slit length of 1.0 μm. The results extracted from the proposed design promise a better candidate to overcome the disadvantages of photovoltaic solar cells for energy harvesting devices.

Green Energy & Environment(Quarterly)

http://www.keaipublishing.com/gee AIMS&SCOPE Green Energy&Environment(GEE)is a peer-reviewed international and interdisciplinary research journal that focuses on all aspects of green energy and environment.This journal aims at presenting the world’s leading researches,ranging from either new or significantly improved protocols or methodologies to practical application of such fields.

Green Energy & Environment(Quarterly)

http://www.keaipublishing.com/gee AIMS&SCOPE Green Energy&Environment(GEE)is a peer-reviewed international and interdisciplinary research journal that focuses on all aspects of green energy and environment.This journal aims at presenting the world’s leading researches,ranging from either new or significantly improved protocols or methodologies to practical application of such fields.

Green Energy & Environment(GEE)

GEE is a peer-reviewed international and interdisciplinary research journal that focuses on all aspects of green energy and environment.It is inaugurated by Institute of Process Enginearing,Chinese Academy of Sciences(IPE,CAS)and co-founded by Science Press,and published quarterly by Elsevier B.V.on behalf of KeAi Communications Co.Ltd..GEE is committed to publish perspectives,ground breakings,and novel results In research fields

Green Energy & Environment (Quarterly)

http://www.keaipublishing.com/geeAIMS&SCOPE Green Energy&Environment(GEE)is a peer-reviewed international and interdisciplinary research journal that focuses on all aspects of green energy and environment.This journal aims at presenting the world’s leading researches,ranging from either new or significantly improved protocols or methodologies to practical application of such fields.

Green Energy & Environment(Quarterly)

http://www.keaipublishing.com/gee AIMS&SCOPE Green Energy&Environment(GEE)is a peer-reviewed international and interdisciplinary research journal that focuses on all aspects of green energy and environment.This journal aims at presenting the world’s leading researches,ranging from either new or significantly improved protocols or methodologies to practical application of such fields.GEE publishes articles that focus on,but are not limited to,the following areas:

Call for paper Green Energy & Environment(GEE)

GEE is a peer-reviewed international and interdisciplinary research journal that focuses on all aspects of green energy and environment.It is inaugurated by Institute of Process Engineering,Chinese Academy of Sciences(IPE,CAS)and co-founded by Science Press,and published quarterly by Elsevier B.V.on behalf of KeAi Communications Co.Ltd..GEE is committed to publish perspectives,ground breakings,and novel results in research fields

Call for paper Green Energy & Environment(GEE)

GEE is a peer-reviewed international and interdisciplinary research journal that focuses on all aspects of green energy and environment.It is inaugurated by Institute of Process Engineering,Chinese Academy of Sciences(IPE,CAS)and co-founded by Science Press,and published quarterly by Elsevier B.V.on behalf of KeAi Communications Co.Ltd..

Green energy for green future

Glories in the history of civilization are built on the burning of non-renewable fossil fuels.In the last fifty years,the global population increased over twice,from 3.0 billion in 1960 to 7.3 billion in2015,and the global GDP increased over 50 times,from 1.4 trillion US$in 1960 to 74.2 trillion US$in 2015.Along with the evolution of humanity is the skyrocketing fossil fuel consumptions,from3514.2 millions of tonnes of oil equivalent/year(mtoe/y)in 1965 to11,306.4 mtoe/y in 2015,as well as the irreversible climate

Bio-inspired photosystem for green energy

Science,2016,351,74-77;Angew.Chem.Int.Ed.,2016,55,12503-12507Over billions years of evolution,biosystems have developed elaborate architectures to realize efficient substance metabolism and energy conversion.Using and/or mimicking biological process has provided us an elegant strategy for design and fabrication of biologically functional systems,such as photosystem.To realize efficient energy production,it

Imperatives of Green Energy Strategy in Azerbaijan

The establishment of a green energy network in Azerbaijan is one of the priorities of the state.According to estimates,the total potential of the country’s green energy is estimated at 27 thousand MW.This further expands the great potential of wind energy in the Azerbaijani sector of the Caspian Sea.On the other hand,the availability of sufficient green energy resources in the liberated lands necessitates the creation of an energy system on this basis.In this regard,President Ilham Aliyev declared the Karabakh and East zangazur economic regions a green energy zone.At present,large-scale projects in this direction are being implemented in the country.Based on all this,the article focuses on global trends in the green energy sector in the context of the imperatives of the green energy strategy in Azerbaijan,priority issues such as green economy,green development,as well as realities reflecting the current situation in this area in Azerbaijan.In this regard,substantial results were obtained and proposals were put forward in the context of the imperatives of the green energy strategy in Azerbaijan.

Do investments in green energy,energy efficiency,and nuclear energy R&D improve the load capacity factor?An augmented ARDL approach

Renewable energy,energy efficiency,and nuclear energy research and development(RER,EER,and NER)budgets are immensely important to fulfill sustainable development goals 7,9,and 13,by accelerating energy innovation,energy transition,and climate control.The literature on the drivers of the load capacity factor(LCF),a recently developed ecological quality measure,is mounting;however,the roles of energy investments in the LCF are largely unknown.Accordingly,this study assesses the impacts of RER,EER,NER,and financial globalization(FIG)on the LCF using data from 1974 to 2018 for Germany.Advanced and reliable time series tests(Augmented ARDL,DOLS,and Fourier causality)are adopted to analyze cointegration,long-run impacts,and causal connections.The outcomes unveil that both green energy and energy efficiency R&D promote the LCF by enhancing ecological quality.However,the positive impact of NER on the LCF is found to be weaker than the impacts of RER and EER.FIG curbs ecological degradation by expanding the LCF.Additionally,the U-shaped connection between economic growth(ECG)and the LCF confirms the load capacity curve.Therefore,policymakers should focus on RER and EER to preserve the environment and promote sustainable growth.