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Energy harvesting textiles have emerged as a promising solution to sustainably power wearable electronics. Textile-based solar cells (SCs) interconnected with on-body electronics have emerged to meet such needs. These technologies are lightweight, flexible, and easy to transport while leveraging the abundant natural sunlight in an eco-friendly way. In this Review, we comprehensively explore the working mechanisms, diverse types, and advanced fabrication strategies of photovoltaic textiles. Furthermore, we provide a detailed analysis of the recent progress made in various types of photovoltaic textiles, emphasizing their electrochemical performance. The focal point of this review centers on smart photovoltaic textiles for wearable electronic applications. Finally, we offer insights and perspectives on potential solutions to overcome the existing limitations of textile-based photovoltaics to promote their industrial commercialization.

Biomass derived carbon is considered as a promising carbon because it contains abundant channel and pore structure and is not easy to degrade. Double transition metal oxides show abundant valence states, good biocompatibility, conductivity, high stability and satisfactory catalytic properties. In addition, a large number of waste biomass such as the fruit peel could cause the waste of resources and environmental pollution. Therefore, we used waste grape skins as a carbon source for assembly with double transition metal oxides. After calcination at high temperature, N-doped biomass-derived carbon loaded with double transition metal oxide composite was formed. The waste grape skins carbon substrate with large pores and large specific surface area provides more channels for ion migration and electron transport, promotes charge transfer, and further improves the ability to reduce NB. The material shows excellent electro-catalytic activity for nitrobenzene (NB), the limit of detection (LOD) is as low as 0.143 μM, the linear response range is wide (0.47–1798.71 μM), the sensitivity is high, the reproducibility, the selectivity and the stability are good. In addition, the sensing assembled from this material has achieved a recovery rate of 97–102.6 % in testing the NB content in actual water sample. This work provides a new idea for the detection of NB, and also finds a greener and more meaningful treatment method for waste biomass. [ABSTRACT FROM AUTHOR]

The relationship between environmental sustainability and selected research variables. [Display omitted] • Impact of linear economy, circular economy, green economy and green patents on environmental sustainability. • Utilizes CS-ARDL approach. • Green energy and green patents positively impact the ecological sustainability across all quantiles. • Linear and Circular economies have both negative and positive impacts in short and long run, respectively. • Adequate environmental policies are suggested for the environmental sustainability. This study investigates the impact of linear economy, circular economy, green energy and green patents on environmental sustainability in selected OECD countries during 2000–2018. To demonstrate the nexus between above said constructs, Cross-Sectionally Augmented Autoregressive Distributed Lag (CS-ARDL) model is adopted. Empirical findings suggest that green energy and green patents positively impact the environmental sustainability across all the quantiles. However, impact of linear economy, circular economy is negative in the short run and getting positive towards the long run. Overall, there is significant association between all the examined variables and they all are equally important to facilitates the environmental sustainability in the OECD countries. Empirical outcomes of present study help the policymakers to establish the ecological sustainability and guide them towards the attainment of sustainable development goals. [ABSTRACT FROM AUTHOR]

Concerns about a sustainable environment are increasing and have attained significant attention among policy experts worldwide. Therefore, the current research investigated to what extent financial innovations, green energy, and economic growth impacted Indian transport-based carbon (TCO2) emissions from 1990 to 2018. This research applied quantile autoregressive distributed lag (QARDL) model and the Wald test for parameter consistency. The QARDL approach proves valuable as it illustrates the causal patterns across different quantiles of financial innovations, green energy, economic growth, and environmental degradation. It offers a more comprehensive understanding of the overall relationships among these variables, which conventional methods such as ARDL and OLS often overlook. The outcomes reveal that financial innovation and green energy negatively affect TCO2 emissions, suggesting that transportation sector emissions will likely decline because of a rise in green energy and financial innovation. In contrast, GDP positively affects TCO2 emissions which deteriorate the environment. Furthermore, the findings of GDP2 found significant and negative effects on TCO2 for all quantiles, affirming the inverse U-shaped curve for the Indian economy. Overall, the study suggests that Indian governments should promote the development of green financial innovation and focus their priorities on sustainable energy to attain carbon neutrality and sustainable development goals. [ABSTRACT FROM AUTHOR]

The paper empirically looks over the consequences of financial inclusion on CO2 emissions in the developing nations of the world. To check this impact, pooled ordinary least square, fixed effect, and CS ARDL techniques are applied using the annual data of 29 developing countries from 2004 through 2018. The results highlight the overall influence of financial inclusion is directly proportional to CO2 emissions as more financial inclusion lead to more CO2 emissions, proving the findings of the available literature. We find evidence that more income, foreign direct investment, urbanization, and population lead to more CO2 emissions, while trade openness assists to decrease CO2 emissions. The results indicated that providing more financial inclusion services leads to more manufacturing and industrial activities which results in more CO2 emissions. Rapid urbanization has increased the need for energy across a range of sectors, including manufacturing, transportation, and residential, which increases CO2 emissions. The policymakers in these countries should take strict measures to curb carbon emissions by increasing financial inclusion and foreign direct investment in supporting such projects that are environmentally friendly. Therefore, to mitigate such current and future issues, policymakers in developing countries need to give serious attention to this area to fulfill sustainable development goals. [ABSTRACT FROM AUTHOR]

This research examines the dynamic impact of green energy (GE), financial inclusion (FI), and militarization (MS) on attaining global economic sustainability (EGS, SDG‐8) in 121 nations from 2003 to 2022. Further, explore and compare 44 high‐income, 33 upper‐middle‐income, and 44 low‐ and lower‐middle‐income countries for a better understanding of empirical and policy contributions. This study utilized second‐generation econometric methods. Consequently, it employed a two‐step system GMM model, which was validated using the D‐K regression approach. The findings revealed that green energy and financial inclusion benefit EGS across all income levels having a significant and positive impact on economic sustainability. In contrast, militarization has a negative relationship with EGS, which proves it is detrimental to EGS in the overall sample and high‐income countries. However, it positively influences economic sustainability in low‐ and lower‐middle‐income countries. Moreover, other factors, such as institutional quality and armed conflicts, have mixed effects on ESG at different income levels. This study also provides persuasive policy measures and implications for achieving global economic sustainability. [ABSTRACT FROM AUTHOR]

This article highlights the potential of poly(2-vinylnaphthalene) (PVN) as a novel light-weight solid-state hydrogen storage system for various applications. With an impressive theoretical gravimetric hydrogen capacity of 5.2 wt.-%, PVN stands out for its attractiveness as a hydrogen carrier. The material possesses advantageous characteristics, including moldability, low toxicity, and ease of storage, making it a promising candidate for both stationary and mobile hydrogen storage applications. Experimental findings demonstrate that PVN can be hydrogenated by up to 76 % utilizing an Ru/Al 2 O 3 catalyst at 250 °C for 24 h. Confirmation of the hydrogenation reaction, which results in poly(2-vinyldecalin), was achieved through characterization techniques such as FTIR, 1H NMR, and spectroscopic ellipsometry. The study of the effects of hydrogen pressure and reaction time identified moderate conditions as favorable, though a further exploration of different catalysts is suggested for optimal conversion. A palladium-based catalyst was employed to release hydrogen from the hydrogenated polymer, demonstrating almost complete reversibility of the hydrogenation of poly(2-vinylnaphthalene) with a dehydrogenation yield of 90 %. [Display omitted] • PVN shows potential as a lightweight solid-state hydrogen storage system, with theoretical hydrogen capacity of 5.2 wt.-% • PVN's low toxicity, moldability and easy storage make it a promising candidate for hydrogen storage applications. • Experimental results demonstrate hydrogenation of PVN, up to 76%, using an Ru/Al 2 O 3 catalyst at 250 °C for 24 h. • The dehydrogenation of hydrogenated PVN was conducted with a Pd/Al 2 O 3 catalyst at 250 °C (24 h) with a yield of 90%. • The reversibility of the controlled hydrogenation of poly (2-vinylnaphthalene) has been demonstrated. [ABSTRACT FROM AUTHOR]

The article mainly examines spatial diversification of the green economy in EU countries in 2014 and 2021 in the context of the energy transformation process. In the theoretical part of the work, the green economy concept, with reference to the conditions of the green energy, was analyzed. The research procedure used in the article is based on multidimensional comparative analysis. The empirical verification was conducted using green economy indicators that are published periodically by the OECD and Eurostat. Based on 21 indicators, a synthetic green economy index was designed for 27 EU member states. In the selected set of detailed indicators, those related to green energy economy played an important role. This approach allowed for the creation of rankings and comparisons between EU countries in 2014 and 2021, i.e., the implementation period of the Europe 2020 Strategy. In this period, the priority areas of EU development were: the low-carbon economy, including the use of renewable energy sources and improvement of energy efficiency, as well as the introduction of eco-innovation. Green energy should be the basis for the functioning of highly developed countries and socio-economic progress in the case of developing countries. Based on the analysis, a large discrepancy in terms of green economy was observed in the examined countries. Particular attention was paid to disproportions in the area of green energy. The average value of the synthetic measure of the green economy in the EU countries increased in the studied years from 0.4488 to 0.4529, which can be interpreted as a slight acceleration in the greening processes. The added value of the research presented in the paper and its novelty is the analysis of the current patterns of green transformation in EU member states, with particular emphasis on energy factors. [ABSTRACT FROM AUTHOR]

The article contains a description of the design solutions proposed by the authors for a hybrid wind turbine bearing, in which the sliding part takes over the load to the turbine shaft after reaching the shaft rotation speed, ensuring hydrodynamic lubrication of the plain bearing and relieving the rolling bearing. This allows for low starting resistance of the power plant and ensures quiet operation during use. Two conceptual solutions of a hybrid bearing were presented, differing in the shape of the plain bearing journal. A mechanism for automatic switching of the load between a rolling and a plain bearing was developed. A solid simulation model of this mechanism was built in the Autodesk Inventor—Dynamic Simulation software Inventor Professional 2023 environment, and its operation was simulated. The results confirmed the usefulness of using this design in shaft-bearing systems of wind turbines with a vertical axis of rotation. Based on the simulation, the speed at which the thrust roller bearing will be released was determined. Technical parameters of a plain bearing with a spherical journal shape were calculated. The height of the lubrication gap and the shaft rotational speed at which the bearing load capacity index reaches a critical value were determined. [ABSTRACT FROM AUTHOR]

This study examines the intricate relationship between economic growth and European environmental degradation via the Environmental Kuznets Curve (EKC). Our results contest the traditional inverted U-shape model of the Environmental Kuznets Curve, indicating that the theory may not be consistently applicable across European countries. Utilizing CS-ARDL and MMQR modelling, we reveal substantial regional disparities. Western European nations demonstrate a typical Environmental Kuznets Curve (EKC) pattern in the short term, characterized by an initial increase in emissions alongside GDP development, followed by a subsequent fall. Conversely, Eastern and Balkan nations exhibit a U-shaped connection, described by an early decline in emissions followed by a subsequent increase as their development levels increase. The influence of renewable energy differs, as it decreases emissions in the short term in Western Europe. However, its long-term impacts are variable, especially when contrasted with its more pronounced effect on emissions in Eastern and Balkan countries. Furthermore, trade openness intensifies environmental degradation in the short-term across all regions, although its long-term impact diminishes, particularly concerning greenhouse gases (GHG). The relationship between renewable energy and trade openness is substantial for the short-term reduction of carbon dioxide emissions, but this effect declines with time. The results indicate that a uniform environmental policy throughout Europe may lack efficacy. Customized strategies to expedite the transition in Western Europe and more specific interventions in Eastern Europe are essential to harmonize economic progress with environmental sustainability. Future research should examine the determinants of the diminishing long-term effects of renewable energy and the interplay between trade and environmental policies. [ABSTRACT FROM AUTHOR]

This article reports the proposal for the use of towers solar (solar chimneys) in urban environments in order to take advantage of landfills, unpopulated or wild hills within or near cities, clearing landfills, artificial hills; considering that the solar tower can maintain the mechanical power of its wind turbine constant. To this end, a mathematical model has been developed to determine the collector area based on solar radiation and the mechanical power of the turbine. The present proposal has the potential that at a technical level there is the possibility of producing electrical energy, production of water intended to create/maintain green environments or for the population, hydrogen production, capture of atmospheric pollutants, measurement of air quality and elimination of cloud cover. [ABSTRACT FROM AUTHOR]

In this study, the fruit of Terminalia chebula, commonly known as chebulic myrobalan, is used as the precursor for carbon for its application in supercapacitors. The Terminalia chebula biomass-derived sponge-like porous carbon (TC-SPC) is synthesized using a facile and economical method of pyrolysis. TC-SPC thus obtained is subjected to XRD, FESEM, TEM, HRTEM, XPS, Raman spectroscopy, ATR-FTIR, and nitrogen adsorption–desorption analyses for their structural and chemical composition. The examination revealed that TC-SPC has a crystalline nature and a mesoporous and microporous structure accompanied by a disordered carbon framework that is doped with heteroatoms such as nitrogen and sulfur. Electrochemical studies are performed on TC-SPC using cyclic voltammetry, galvanostatic charge–discharge, and electrochemical impedance spectroscopy. TC-SPC contributed a maximum specific capacitance of 145 F g−1 obtained at 1 A g−1. The cyclic stability of TC-SPC is significant with 10,000 cycles, maintaining the capacitance retention value of 96%. The results demonstrated that by turning the fruit of Terminalia chebula into an opulent product, a supercapacitor, TC-SPC generated from biomass has proven to be a potential candidate for energy storage application. [ABSTRACT FROM AUTHOR]

A sustainable world is only possible when we are ready to deliver a net zero carbon emission energy sector. In this regard, we must not only consider more renewable energy resources but also find alternate paths for making some popular molecules like NH3 and urea for a lesser carbon footprint. This perspective article summarizes the recent progress of the photocatalytic synthesis of NH3, urea, and some amino acids using novel nanomaterials where we have focused on various approaches to catalyst design like metal oxides, metal sulfides, metal‐free catalysts, and biomimicking catalysts for ambient condition N2 activation. Later we discussed general reaction pathways, a detailed mechanistic overview, and future material layout for a sustainable approach towards N2 activation. [ABSTRACT FROM AUTHOR]

The key objective of this research work is to examine the influence of green energy (GRE), financial inclusion (FIN), and government defense financing (GDF) on socioeconomic sustainability (SES) by taking a sample of 121 nations within the time range of 2003–2022. The sample is additionally categorized into three diverse income-level groups, including 44 high-income, 33 upper-middle-income, and 44 low- and lower-middle-income nations for better contribution and evaluation. We employed a two-step system GMM as prime and Driscroll–Kraay (D–K) fixed effect regression and 2SLS as robust techniques, respectively. The findings unveiled that GRE and FIN are significantly beneficial for socioeconomic sustainability in all groups; however, these factors have a lesser impact in high-income countries. Furthermore, GDF has a negative but a non-significant linkage with SES at the global, low-, and lower-middle-income levels. Simultaneously, GDF significantly improves SES in high-income countries while has a non-significantly positive influence on SES in upper-middle-income countries. On the other hand, security motives (SMT) significantly harm SES in all categories except the high-income nations group. Moreover, institutional quality (INQ) significantly harms SES worldwide and in high-income countries. This research study also yields some suitable policy measures to achieve SDGs. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Frontiers of Computer Science & Technology is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Recently, the globe has been facing several challenges, and environmental deterioration has become more prominent. Therefore, to deal with such environmental issues, the globe has tried to introduce several green initiatives via the Kyoto Protocol, the Paris Agreement, and the Sustainable Development Goals, but the problem remains intact. However, practitioners have no more choice but to exclude emerging economies from this race. For instance, to understand the response of emerging economies toward a sustainable environment, this study considers BRICS (Brazil, Russia, India, China and South Africa) economies. Similarly, the current empirical study utilizes innovative environmental determinants such as real income, urbanization, entrepreneurial activities, per capita renewable energy, financial innovation and environmental policy for selected regions from 2000 to 2021. However, the findings of the advanced estimators' series show the significant contribution of per capita green energy consumption, environmental policy and entrepreneurial activities toward environmental sustainability. In contrast, income, financial inclusion and urbanization contribute to environmental damage. Because of green energy supportive behavior, this study makes an additional step to investigate the mediating effect on financial inclusion, environmental policy and entrepreneurship. However, the mediating effect only supports environmental policy and entrepreneurship activities to reduce environmental pressure. From the policy perspective, the specified economies should allocate their financial resources to clean & green projects to attain the desired level of sustainability. [ABSTRACT FROM AUTHOR]

The world's need for green energy is something that cannot be postponed any longer, where the transmission-distribution process requires power distribution in DC voltage. However, currently, the majority use AC voltage, so limited experience and lack of data regarding electrical cable aging under high voltage (HVDC) and their reliability are problems that must be resolved. Crosslinked polyethylene (XLPE) constitutes many insulation cables used today, so estimating the lifetime of DC XLPE cable insulation is urgent research, even though various model-optimization improvements are needed to obtain accurate results. This research begins with pre-processing for the input and output data. These results were then analyzed using two improved model schemes to accommodate the addition of variable space charge and thickness: backpropagation neural network (BPNN) and hybrid BPNN with inverse power model (BPNN-IPM). The learning process uses gradient descent (GD), genetic algorithm (GA), and Levenberg-Marquardt (LM) optimization methods. Finally, the proposed method was verified using experimental data from previous research. The results show that the hybrid BPNN-IPM with LM optimization method is the most accurate: training root mean square error (RMSE) achieved 0 days, and testing RMSE achieved 0.83 days. These results show that the method BPNN-IPM-LM used is most accurate in estimating the lifetime of DC XLPE insulation. [ABSTRACT FROM AUTHOR]

This study aims to develop medium-term forecasts for the consumption of rare-earth elements in Russia by considering the concepts, strategies, and programs associated with the development of both national industries with stable demand for these elements and emerging industries. Forecasts were developed using methods of correlation analysis and extrapolation, and specific values of rare-earth elements consumption per unit of finished product were assessed based on an analysis of global industrial experience. The study results include a classification of existing and promising industries that consume rare-earth elements in Russia, forecasts of consumption in basic and emerging industries for the period from 2023 to 2030, and an analysis of the forecast demand for rare-earth elements. These results can be used to develop strategic documents for the development of the rare-earth industry in Russia. [ABSTRACT FROM AUTHOR]

The development of n‐type organic thermoelectric materials, especially π‐conjugated small molecules, lags far behind their p‐type counterparts, due primarily to the scarcity of efficient electron‐transporting molecules and the typically low electron affinities of n‐type conjugated molecules that leads to inefficient n‐doping. Herein, the n‐doping of two functionalized (carbonyl vs dicyanovinylene) indenofluorene‐based conjugated small molecules, 2,8‐bis(5‐(2‐octyldodecyl)thien‐2‐yl)indeno[1,2‐b]fluorene‐6,12‐dione (TIFDKT) and 2,2′‐(2,8‐bis(3‐alkylthiophen‐2‐yl)indeno[1,2‐b]fluorene‐6,12‐diylidene)dimalononitrile (TIFDMT) are demonstrated, with n‐type dopant N‐DMBI. While TIFDKT shows decent miscibility with N‐DMBI, it can be hardly n‐doped owing to its insufficiently low LUMO. On the other hand, TIFDMT, despite a poorer miscibility with N‐DMBI, can be efficiently n‐doped, reaching a respectable electrical conductivity of 0.16 S cm−1. Electron paramagnetic resonance measurements confirm the efficient n‐doping of TIFDMT. Based on density functional theory (DFT) calculations, the LUMO frontier orbital energy of TIFDMT is much lower, and its wave function is more delocalized compared to TIFDKT. Additionally, the polarons are more delocalized in the n‐doped TIFDMT. Remarkably, as indicated by the grazing‐incidence wide‐angle X‐ray scattering (GIWAXS), the molecular order for TIFDMT thin‐film is enhanced by n‐doping, leading to more favorable packing with edge‐on orientation and shorter π‐π stacking distances (from 3.61 to 3.36 Å). This induces more efficient charge transport in the doped state. Upon optimization, a decent thermoelectric power factor of 0.25 µWm−1K−2 is achieved for n‐doped TIFDMT. This work reveals the effect of carbonyl vs dicyanovinylene on the n‐doping efficiency, microstructure evolution upon doping and thermoelectric performance, offering a stepping stone for the future design of efficient n‐type thermoelectric molecules. [ABSTRACT FROM AUTHOR]

Perovskite-type structures have unique crystal architecture and chemical composition, which make them highly attractive for the design of solar cells. For instance, perovskite-based solar cells have been shown to perform better than silicon cells, capable of adsorbing a wide range of light wavelengths, and they can be relatively easily manufactured at a low cost. Importantly, the perovskite-based structures can also adsorb a significant amount of hydrogen atoms into their own structure; therefore, perovskite holds promise in the solid-state storage of hydrogen. It is widely expected by the scientific community that the controlled adsorption/desorption of the hydrogen atoms into/from perovskite-based structures can help to overcome the main hydrogen storage issues such as a low volumetric density and the safety concerns (i.e., the hydrogen embrittlement affects strongly the mechanical properties of metals and, as such, the storage or transport of the gaseous hydrogen in the vessels is, especially for large vessel volumes, challenging). The purpose of this review is to provide an updated overview of the recent results and studies focusing on the perovskite materials used for both solar cells and hydrogen storage applications. Particular attention is given to (i) the preparation and the achievable efficiency and stability of the perovskite solar cells and (ii) the structural, thermodynamic, and storage properties of perovskite hydrides and oxides. We show that the perovskite materials can not only reach the efficiency above current Si-based solar cells but also, due to good stability and reasonable price, can be preferable in the solid-state storage of hydrogen. Then, the future trends and directions in the research and application of perovskite in both solar cells and hydrogen storage are also highlighted. [ABSTRACT FROM AUTHOR]

Longwood Gardens (Kennett Square, PA, USA) is working toward a future where the beauty of nature can be enjoyed by all through its sustainability and stewardship efforts. Using case studies highlighting water quality and conservation, carbon footprint reduction, material circularity, and land stewardship, this paper examines the multifaceted approach that Longwood takes to address its environmental impact. First, a description of Longwood's innovative water quality and conservation strategies and their integration of green and gray infrastructure is described. Next, the paper explores the comprehensive measures adopted to curtail its carbon footprint, from energy-efficient infrastructure to renewable energy sources. Then, Longwood's commitment to material circularity is investigated, showcasing initiatives that reuse organic materials and create necessary products for the Gardens onsite. Finally, the Gardens' holistic land stewardship practices are detailed, including habitat preservation and biodiversity enhancement. The paper concludes with valuable findings learned from the organization's sustainability and stewardship journey, offering insights applicable to other gardens or campuses seeking to improve their ecological impact while maintaining a commitment to esthetic and horticultural excellence. [ABSTRACT FROM AUTHOR]

The Saluyu Medal Sheep Livestock Program shows significant progress and independence with the success of the livestock group in marketing products that are not only at the moment of qurbani but also able to develop a sustainable business model by processing sheep manure into fertilizer that is useful for agriculture in Karoya Village and for kaliandra trees in the PLN Nusantara Power UP Cirata Energy Forest Program. Not only that, through the implementation of this program, the leaves of kaliandra trees that previously had the potential to become waste are now used as sheep feed, which can reduce the risk of forest fires and support the principles of circular economy. This innovation not only increases the productivity and sustainability of the Karoya Village livestock business, but also contributes to environmental issues that support the development of green energy by reducing waste and utilizing resources efficiently within the framework of a circular economy. [ABSTRACT FROM AUTHOR]

The quality assurance of the earth-atmosphere system, which runs primarily to temperature variations and other disturbances of the earth's climate, compels the assessment of greenhouse gases (GHG) emissions due to various Organizations for Economic Co-operation and Development (OECD) countries' human activities that disturb the radioactive energy balance. The purpose of this paper is to thus determine the usefulness and acceptability of statistical process control for assessing the level of GHG emissions from OECD countries. We apply the exponentially weighted moving average (EWMA) control charts with one-time, two-time, and three-time smoothing processes for monitoring the process variance under a repetitive sampling scheme, named S 2 -EWMA RS , S 2 -DEWMA RS and S 2 -TEWMA RS charts, and also utilize a cumulative sum (CUSUM) control chart under a repetitive sampling scheme, named as S2-CUSUMRS chart, to assess these countries' emission levels of GHG. The control charts are a graphical representation of the trend product of sequential procedures. All the OECD countries can thus independently measure their emission level of GHG as a self-assessment tool. Consequently, we recommend use of the advanced control charts as a tool for OECD assessment at an individual country level. [ABSTRACT FROM AUTHOR]

This study is aimed at the synthesis of nanoparticles (NPs) and nanocomposite (NC) using maize leave as precursor. Silver NPs (AgNPs) and AgNCs were synthesized from silver nitrate and maize leave extract using green approach. The maize leave NPs (AgNPs) and the maize leave NCs (AgNCs) were characterized using Fourier Transform infrared (FTIR), scanning electron microscopy (SEM), energy dispersion x-ray (EDX), Brunauer–Emmett–Teller (BET) surface area measurement, and dynamic light scattering (DLS) particle size analysis. The phytochemical analysis revealed the presence of tannin, oxalate, and flavonoids in appreciable quantity, which have proven to be a powerful reducing agent that facilitates the reduction of silver ions for the synthesis of silver NPs and silver nano composites. FTIR revealed that all the peaks identified in AgNPs and AgNCs belong to the characteristic bands of reducing compounds such as flavonoid compounds. The SEM-EDX results showed that the peaks observed from 2.9 to 3.1 Kev in the spectra indicate the presence of elemental silver as it is reduced from Ag+ to Ag. DLS analysis results showed that the average size and polydispersity index (PdI) of the synthesized AgNPs and AgNCs were 42.30 and 68.29 nm, 0.691 and 0.270, respectively. The single point BET surface area (m2/g) obtained for AgNPs and AgNCs were 223.3 and 209.5, respectively. The results showed maize leave as a potential precursor for the preparation of NPs and NCs. [ABSTRACT FROM AUTHOR]

Hydrogen zirconium phosphate (HZP) is a ceramic material with the formula HZr 2 (PO 4) 3 that can potentially offer anhydrous protonic conductivity, with thermostability for the intrinsic protons up to 650 °C, and good chemical stability in aqueous environments or acid gases. Despite the attraction of these features for electrolyte applications, such as gas separation, fuel cells or electrolysers, work on this material remains in its infancy. A possible reason for this lack of attention may be related to the complexity to obtain the HZP material as a pure phase. For this reason, the current article examines a new hydrothermal synthesis method to produce the ammonium precursor, NH 4 Zr 2 (PO 4) 3 , in its phase pure form, and consequently a refined overall route to produce the desired HZP target material. In the synthesis of the ammonium precursor, we underscore the precise control of reaction conditions that are necessary to obtain the pure NH 4 Zr 2 (PO 4) 3 material, both in its cubic and hexagonal structural polymorphs. For reaction times of 10 h, the cubic phase is obtained by employing a hydrothermal temperature of 150 °C and an aqueous ammonia volume of 2.1 mL, while the hexagonal phase is obtained for a hydrothermal temperature of 200 °C and an aqueous ammonia volume between 2.3 and 2.4 mL. Subsequently, we investigate the required conditions to convert hexagonal NH 4 Zr 2 (PO 4) 3 fully to hexagonal HZr 2 (PO 4) 3 via thermal treatment at 600 °C for 5 h, assessed by a combination of X-ray diffraction and infrared spectroscopy. In this way this article aims to open up further research on this interesting HZP material by documenting a robust route for its preparation. [ABSTRACT FROM AUTHOR]

Copyright of Marketing of Scientific & Research Organizations / Marketing Instytucji Naukowych i Badawczych is the property of Sciendo and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Taking advantage of green energy is becoming increasingly popular. However, when it comes to the storage I/O, where storage devices usually schedule nodes based on the intensity of the storage workload, the irregular fluctuations of green energy lead to the mismatch of peaks and valleys between green energy and storage workloads, which increases the difficulty of scheduling storage resources. To address this issue, a tiering-cooperative energy-efficient scheme for hybrid NVM-SSD storage system, called MixSave, is proposed. MixSave customizes the energy-saving strategies for each layer and tunes them cooperatively between layers, reducing overall energy usage. It efficiently tiers NVM and SSD and replicates data among them based on their performance and energy characteristics, achieving both high performance and large capacity. The workload-driven strategy is used by the NVM layer, which is used for caching, to ensure the best performance, and the number of active NVM devices depends on the storage workload. Meanwhile, the SSD layer employs a green energy-oriented strategy to conserve traditional energy, and the number of active SSD devices will be proportionally to the amount of green energy supplied. Evaluation results show that, when compared with energy-save-unaware approaches, MixSave degrades performance by less than 4% and saves traditional energy by 73% to 80% and 55% to 61% under light and heavy workloads, respectively.

The study addresses the challenge of bird collisions with wind turbines by developing an autonomous risk assessment method. The research uses data from the stereoscopic Bird Protection System (BPS) to anticipate potential collision threats by analysing flight parameters and distance from turbines. The danger factor depends on the flight characteristics of the identified bird species and the parameters of the wind turbine control system. The paper proposes an online quantitative risk assessment model that operates in real time, with the aim of minimising unnecessary turbine shutdowns while improving bird conservation. The model is validated through field data from bird flights. The findings suggest that adaptive management of turbine operations based on real-time bird flight data can significantly reduce collision risks without compromising energy production efficiency. The research underscores the balance between ecological considerations and the economic viability of wind energy, proposing an adaptive strategy that reduces unnecessary turbine stoppages while ensuring the safety of avian species.

Longwood Gardens (Kennett Square, PA, USA) is working toward a future where the beauty of nature can be enjoyed by all through its sustainability and stewardship efforts. Using case studies highlighting water quality and conservation, carbon footprint reduction, material circularity, and land stewardship, this paper examines the multifaceted approach that Longwood takes to address its environmental impact. First, a description of Longwood’s innovative water quality and conservation strategies and their integration of green and gray infrastructure is described. Next, the paper explores the comprehensive measures adopted to curtail its carbon footprint, from energy-efficient infrastructure to renewable energy sources. Then, Longwood’s commitment to material circularity is investigated, showcasing initiatives that reuse organic materials and create necessary products for the Gardens onsite. Finally, the Gardens’ holistic land stewardship practices are detailed, including habitat preservation and biodiversity enhancement. The paper concludes with valuable findings learned from the organization’s sustainability and stewardship journey, offering insights applicable to other gardens or campuses seeking to improve their ecological impact while maintaining a commitment to esthetic and horticultural excellence.

Purpose – The purpose of this paper is to asses the welfare and macroeconomic implications of three distinct degrowth strategies designed to reduce carbon emissions: penalizing fossil fuel demand, substituting aggregate consumption with leisure and disincentivizing total factor productivity (TFP) growth. Design/methodology/approach – Using an environmental dynamic general equilibrium (eDGE) model that incorporates both green renewable technologies and fossil fuels in the production process, this study sets an emissions reduction target aligned with the goals of the Paris Agreement by 2050. Findings – The results reveal that the conventional degrowth strategy, wherein a reduction in the consumption of goods and services is compensated with an increase in leisure, may entail significant economic consequences, leading to a notable decline in welfare. In particular, a degrowth scenario resulting from a decline in TFP yields the most pronounced reduction in welfare. Conversely, inducing a reduction in fossil fuel demand by fiscally inflating the price of the imported commodity, despite potential social backlash, exhibits noticeably less detrimental welfare effects compared to other degrowth policies. Furthermore, under this degrowth strategy, the findings suggest that a globally coordinated strategy could result in long-term welfare gain. Originality/value – To the best of the authors’ knowledge, this is the first contribution that uses an eDGE model to evaluate the welfare implications of an additional degrowth strategy amidst the ongoing inertial reduction of carbon emissions.

Under the terms of the European Green Deal, including the transition to a green economy, decarbonisation, and a sustainable model of inclusive growth, Ukraine has committed itself to achieving climate neutrality by 2060. The military challenges caused by Russia’s full-scale invasion of Ukraine require an in-depth investigation and substantiation of mechanisms for developing promising areas of deep processing of domestic agricultural raw materials to ensure food security, domestic market development, and post-war economic recovery. The purpose of this study was to analyse and assess the potential for processing Ukrainian maize in the context of bioeconomy development, specifically to produce starch, bioplastics, and bioethanol. The study was conducted using a systematic approach with extrapolation methods, exponential smoothing, and confidence interval construction to assess the forecast. It was proved that Ukraine has all the opportunities to increase the production of a wider product line of deeply processed maize products. Realising the potential of maize processing as a biological and energy feedstock in the Ukrainian economy for post-war recovery depends on the creation of an innovative bioeconomy infrastructure, through strengthening strategic partnerships between agricultural producers, research institutions and public authorities, cluster development and export promotion. The practical value of this study lies in the developed recommendations for the implementation of maize processing opportunities for the development of the bioeconomy and acceleration of decarbonisation in Ukraine

Abstract In the digitization era, the battery consumption factor plays a vital role for the devices that operate Android software, expecting them to deliver high performance and good maintainability.The study aims to analyze the Android-specific code smells, their impact on battery consumption, and the formulation of a mathematical model concerning static code metrics hampered by the code smells. We studied the impact on battery consumption by three Android-specific code smells, namely: No Low Memory Resolver (NLMR), Slow Loop (SL) and Unclosed Closable, considering 4,165 classes of 16 Android applications. We used a rule-based classification method that aids the refactoring ideology. Subsequently, multi-linear regression (MLR) modeling is used to evaluate battery usage against the software metrics of smelly code instances. Moreover, it was possible to devise a correlation for the software metric influenced by battery consumption and rule-based classifiers. The outcome confirms that the refactoring of the considered code smells minimizes the battery consumption levels. The refactoring method accounts for an accuracy of 87.47% cumulatively. The applied MLR model has an R-square value of 0.76 for NLMR and 0.668 for SL, respectively. This study can guide the developers towards a complete package for the focused development life cycle of Android code, helping them minimize smartphone battery consumption and use the saved battery lives for other operations, contributing to the green energy revolution in mobile devices.

Abstract Bioelectricity generation from sugarcane is significant across Brazil and is related to regional market structure characteristics where the mills are located. To understand the distribution and conjuncture of this sector, this study analyzes the pattern of location, concentration and clustering of the bioelectricity supply from sugarcane bagasse in Brazil, for 2017 and 2022. The data were obtained from the Brazilian National Electric Energy Agency, and the methodology was based on concentration indices and scan statistics. The results showed that the Southeast region presented the most thermoelectric power plants and installed capacity. The Southeast and Midwest regions were highly concentrated in terms of quantity and sugarcane bioelectricity installed capacity. Five clusters were identified for the number of power plants in 2017; for 2022, there were eight clusters. Regarding installed potential, there were 14 clusters in 2017 and 23 clusters in 2022, all statistically significant. The existence of clusters provides information on the competitive advantages in the national market, which can drive new investments in more densified areas or in the neighborhood. Identification of the location and concentration pattern showed that facilities in the state of São Paulo and the Northeast coast were responsible for the most important share of supply. These results indicate to investors the impact of electricity generation on the sector and the most relevant location for installing new thermoelectric plants.

In the conditions of worsening global energy problems, financial instruments play a key role in reforming the energy market. They provide the necessary financial resources for the development and implementation of environmentally friendly energy technologies, aimed at supporting projects that reduce the negative impact on the environment, and contribute to attracting private capital to finance environmentally friendly projects. The purpose of this study is to analyze trends in research on financial instruments of the green energy transition. The article carries out a comprehensive bibliometric analysis of scientific works devoted to the problem of financing the green energy transition. The object of the research is the publications indexed by the Scopus database for 1954-2023. Research tools are programs for bibliometric data analysis Vosviewer, SciVal and CiteSpace. Based on the trend analysis of publication activity on the issues of financing the green energy transition, the key role of the Paris Agreement of 2015 in the growth of interest in these issues has been proven. Visualization of the most used keywords in scientific works on green energy transition financing allowed us to identify four clusters of keywords that characterize the concepts of green energy transition: the concept of "green construction", the concept of "green technologies and innovations", the concept of renewable energy, and the concept of "green of finance". Analysis of the frequency and number of citations of publications on green energy transition financing issues using the CiteSpace package made it possible to determine the TOP-17 keywords, highlight the period of their greatest citations, and carry out their clustering. Phrases most often used in publications include: finance, alternative economy, green bonds, green innovation, sustainable development, greenhouse gas emissions, sustainable finance, green credit, green economy, climate finance. Based on the analysis of relationships between keywords, seven clusters were identified: sustainable development, financing constraints, green bonds, green credit policy, green bonds, green economic growth, green economic recovery. The obtained results can be used by state institutions to improve financing strategies for green energy transition programs from the point of view of determining modern trends and key vectors of green finance development in the field of energy, analysis of the most effective financing tools, and identification of problems in the field of energy development.

Abstract Biomass has become a key contender in the race to find sustainable energy options, as we move toward a more environmentally friendly future. This extensive assessment explores the potential of biomass to transform the global energy landscape. We have examined different conversion technologies, including thermal technologies such as combustion and gasification, as well as biochemical technologies such as anaerobic digestion and biofuel production, and we delved into the renewable nature of biomass, which is derived from organic sources such as agricultural residues, forestry waste, and special energy crops. We highlight the adaptability of biomass for the production of energy, heat, and biofuels. Furthermore, we evaluated the socioeconomic and environmental impacts of biomass use, including greenhouse gas emissions, land use, and community effects. To increase the potential of biomass as a renewable energy source, it is essential to understand how these three factors interact. To maximize energy production while curtailing environmental problems, this review examines obstacles, ongoing research, and recent developments in effective biomass-based energy systems. Graphical Abstract

Given the intensification of human industrial activity in the twenty-first century, the issue of climate neutrality is becoming increasingly relevant, especially for the European continent, where environmental security is a key element of political interaction. The study aimed to examine the peculiarities of the European policy on climate balance by analysing various initiatives in the context of their implementation results. The main methods used were the statistical method, which assessed quantitative indicators in the field of climate protection in several countries, and the method of system analysis, which was used to consider the key elements of the European policy of environmental protection. The study determined that the problem of climate preservation and neutralisation of the consequences of human industrial activity is the main task for which European countries have modernised and updated the regulatory framework and adapted legal mechanisms and legislative instruments. A rational and balanced approach to the protection of the population – both at the national and regional levels, as well as at the universal level – has been a key component of achieving the sustainable development goals for the next fifty years. Reducing emissions and greenhouse gases, switching to environmentally friendly energy sources, using energy-efficient technologies, and increasing taxes on the use of fossil fuels, according to the European Green Development Strategy, were the main points of achieving climate neutrality. Through the prism of analysing various regulations and legislative documents at the level of the European Union (EU), the main positive and negative aspects of their implementation in practice were identified and summarised. In the context of the ongoing Russian-Ukrainian war, the author emphasises the need to update several existing climate strategies to minimise their environmental impact. The results and conclusions of the study can be used as a practical basis for the development and implementation of new climate neutrality and green energy strategies

Global interest in developing a state-of-the-art circular economy has been driven by the desire to generate bioenergy and bioproducts from biowaste streams. Biodiesel, synthesized from used, non-edible oils has emerged as a sustainable and ecofriendly alternative fuel for diesel engines. This study investigates the feasibility of employing an innovative circular economy to convert waste Citrus paradisi L. seed oil into sustainable biodiesel using green lead oxide nanoparticles (PbONPs). The synthesized biodiesel is noted for its ecofriendly characteristics, being non-toxic, biodegradable, cost effective and comparable to traditional petroleum-based diesel. PbONPs were prepared using aqueous leaf extract of Nasturtium officinale L. Analytical characterization of PbONPs revealed an average particle size of 42 nm. PbONPs demonstrated recyclability with maximum catalytic activity maintained through four consecutive cycles of transesterification. An optimal yield of 93 % was achieved under specific reaction conditions: a methanol-to-oil molar ratio of 7:1, a reaction time of 105 min, a temperature of 92.5 ˚C, and a catalyst load of 0.32 wt%. The predominant fatty acid methyl ester identified in the biodiesel was 5, 8-octadecadienoic acid methyl ester. The biodiesel produced from C. paradisi met the criteria for international standards with an impressively low sulfur content of 0.0001 %, underscoring its clean and benign nature.

Green energy harvesting devices are potential sustainable power sources for self-powered sensors, electronics, and the Internet of Things. Triboelectric nanogenerators (TENGs) based on natural polymers and waste materials can harvest green energy from vibration sources to convert it into electrical energy. These nanogenerators could substitute conventional electrochemical batteries to power future smart sensors and electronic devices without contaminating our ambient. Herein, we present a novel portable triboelectric nanogenerator formed by a waste corn husk and a recycled polystyrene (PS) plate as triboelectric layers. This nanogenerator has a compact and lightweight structure developed by a low-cost and eco-friendly fabrication process. This nanogenerator can convert vibrational kinetic energy into electrical energy, achieving a power density of 670.5 mW∙m−2 with a 51.9 MΩ load resistance and operating at 14 Hz. This portable nanogenerator includes simple signal processing and it can power an array of 472 commercial blue LEDs, a digital calculator, and a stopwatch. The output voltage of this nanogenerator is stable even after 25,211 operating cycles at 14 Hz with 25 mm of separation distance between triboelectric layers. The proposed nanogenerator has potential applications to power small electronic devices and sensors using vibrational kinetic energy from the environment.

The European Green Deal has set a target for Europe to achieve net-zero greenhouse gas emissions by 2050, necessitating a transition to more sustainable energy sources. Hydrogen gas (H 2) has emerged as a promising solution, with methane pyrolysis presenting a viable method for its production. This study explores the optimization of methane plasma pyrolysis for hydrogen and high-quality carbon production. Employing a statistical approach by a design of experiment software, critical process parameters are systematically analyzed to predict their impact within a defined range. Additionally, the paper conducts comprehensive characterization of the solid carbon produced during pyrolysis using imaging, spectroscopic and elemental analysis, and gas sorption analysis methods. The experimental investigation was conducted using a thermal plasma reactor with several settings of influential parameters including methane gas (CH 4) content in the plasma gas, electric current, and arc length. The DC-transferred plasma arc is formed using a variable gas mixture of argon gas (Ar) and CH 4, with a constant flow rate of 5 Nl/min. Thirteen tests were designed, evaluating responses such as power input, process stability, and H 2 yield. The H 2 yield indicates the hydrogen produced from CH 4 , with 100% representing total conversion. While the process exhibited inconstancy, attributed to reactor design constraints, a high H 2 yield of 67%–100% was achieved. The results indicate that a higher CH 4 content in the plasma gas and extended arc lengths disturb the plasma arc, hence reducing the H 2 yield. Increased power input, achieved through higher amperage levels, and a wider reaction zone eased by extending the arc length both led to an improved H 2 yield. Scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDS) revealed microstructural differences, with carbon samples from the filter exhibiting finer textures and carbon samples from the reactor larger sizes and dendritic particles. Raman spectroscopy confirmed crystalline graphitic-like structures with low defect concentrations, a finding supported by X-ray diffraction (XRD) analysis. Inductively coupled plasma mass spectroscopy (ICP-MS) analysis confirmed high-purity carbon with slight impurities from initial filter contamination. Brunauer-Emmett-Teller (BET) specific surface area calculations based on gas sorption analysis showed significant variations, with filter-collected samples exhibiting 40–170 m2/g and reactor-collected ones showing 7–30 m2/g. [Display omitted] • This study investigates a unique approach to optimizing the thermal plasma pyrolysis of methane. • A H 2 yield of 67%–100% was achieved utilizing a DC-transferred plasma arc furnace and an Ar and CH 4 mixture plasma gas. • A lower CH 4 content in the plasma gas and an optimized arc length improve the plasma arc and the H 2 yield. • The carbon shows crystalline graphitic-like structures with low defect concentrations. [ABSTRACT FROM AUTHOR]

The ongoing amplification of climate change necessitates the exploration and implementation of effective strategies to mitigate ecological issues while simultaneously preserving economic and social well-being. Renewable power systems offer a way to reduce adverse anthropogenic effects without hindering economic growth. This study aims to conduct a comprehensive bibliometric analysis of renewable power systems to explore their historical context, identify influential studies, and uncover research gaps, hypothesizing that global contributions and policy support significantly influence the field's dynamics. Following Preferred Reporting Items For Systematic Reviews And Meta-Analyses guidelines, this study utilized Scopus tools analysis and VOSviewer 1.6.20 software to examine the metadata sourced from scientific databases in Scopus. The outcomes of this investigation facilitate the identification of the most prolific countries and authors, as well as collaborative efforts that enrich the theoretical landscape of renewable power systems. The study also traces the evolution of research on renewable power systems. Furthermore, the results reveal key scientific clusters in the analysis: the first cluster concentrates on renewable energy and sustainable development, the second on the relationship between government policies and renewable power systems, and the third on the role of incentives that catalyse the advancement of renewable power systems. The findings of this meta-analysis not only contribute valuable insights to existing research but also enable the identification of emerging research areas related to renewable power system development. [ABSTRACT FROM AUTHOR]

Energy efficiency in production systems and processes is a key global research topic, especially in light of the Green Deal, Industry 4.0/5.0 paradigms, and rising energy prices. Research on improving the energy efficiency of production based on artificial intelligence (AI) analysis brings promising solutions, and the digital transformation of industry towards green energy is slowly becoming a reality. New production planning rules, the optimization of the use of the Industrial Internet of Things (IIoT), industrial cyber-physical systems (ICPSs), and the effective use of production data and their optimization with AI bring further opportunities for sustainable, energy-efficient production. The aim of this study is to systematically evaluate and quantify the research results, trends, and research impact on energy management in production based on AI-based demand forecasting. The value of the research includes the broader use of AI which will reduce the impact of the observed environmental and economic problems in the areas of reducing energy consumption, forecasting accuracy, and production efficiency. In addition, the demand for Green AI technologies in creating sustainable solutions, reducing the impact of AI on the environment, and improving the accuracy of forecasts, including in the area of optimization of electricity storage, will increase. A key emerging research trend in green energy management in manufacturing is the use of AI-based demand forecasting to optimize energy consumption, reduce waste, and increase sustainability. An innovative perspective that leverages AI's ability to accurately forecast energy demand allows manufacturers to align energy consumption with production schedules, minimizing excess energy consumption and emissions. Advanced machine learning (ML) algorithms can integrate real-time data from various sources, such as weather patterns and market demand, to improve forecast accuracy. This supports both sustainability and economic efficiency. In addition, AI-based demand forecasting can enable more dynamic and responsive energy management systems, paving the way for smarter, more resilient manufacturing processes. The paper's contribution goes beyond mere description, making analyses, comparisons, and generalizations based on the leading current literature, logical conclusions from the state-of-the-art, and the authors' knowledge and experience in renewable energy, AI, and mechatronics. [ABSTRACT FROM AUTHOR]

Wind farm layout optimization (WFLO) is focused on utilizing algorithms to devise a more rational turbine layout, ultimately maximizing power generation efficiency. Traditionally, genetic algorithms have been frequently employed in WFLO due to the inherently discrete nature of the problem. However, in recent years, researchers have shifted towards enhancing continuous optimization algorithms and incorporating constraints to address WFLO challenges. This approach has shown remarkable promise, outperforming traditional genetic algorithms and gaining traction among researchers. To further elevate the performance of continuous optimization algorithms in the context of WFLO, we introduce a multi-local search-based SHADE, termed MS-SHADE. MS-SHADE is designed to fine-tune the trade-off between convergence speed and algorithmic diversity, reducing the likelihood of convergence stagnation in WFLO scenarios. To assess the effectiveness of MS-SHADE, we employed a more extensive and intricate wind condition model in our experiments. In a set of 16 problems, MS-SHADE's average utilization efficiency improved by 0.14% compared to the best algorithm, while the optimal utilization efficiency increased by 0.3%. The results unequivocally demonstrate that MS-SHADE surpasses state-of-the-art WFLO algorithms by a significant margin. [ABSTRACT FROM AUTHOR]

The economy of the Russian Federation is aimed at developing a fuel and energy complex that uses environmentally friendly energy, which corresponds to the global trend of reducing emissions of harmful substances into the atmosphere during the production of various types of products. Decarbonization is one of the biggest challenges of modern society. To solve this problem, renewable energy sources are being actively introduced, as well as various types of fuel, the combustion of which produces a minimum content of emissions. Among them, we can highlight the fuel that has the greatest prospects; this is hydrogen, a fuel with the highest energy content, reaching a value of 120 MJ/kg. Unlike renewable energy sources, the practice of which in a number of countries has caused a crisis in the reliability of the energy system, hydrogen technologies make it possible to achieve the task of decarbonization with minimal impact on the environment at all stages: production, transportation, combustion, without compromising reliability. The main problems of mass introduction of hydrogen technologies are the difficulty in obtaining, transporting and storing hydrogen fuel. Following the signing of hydrogen strategies, most developed countries are considering using hydrogen as a vehicle fuel. Hydrogen transport, unlike electric transport, is not limited by range, but the high cost of hydrogen transport and the lack of refueling infrastructure hinder the development of this type of technology. Currently, the most common fuel cell system is FCV (fuel cell vehicle). The article presents the concept of hydrogen refueling, taking into account different technologies for the production of hydrogen fuel. Hydrogen must be stored at a filling station at a pressure of 300–800 bar, in a gaseous or liquid state. An analysis of the cost of construction and subsequent operation of hydrogen filling stations revealed criteria for the economic efficiency of their implementation depending on the amount of fuel consumed and storage methods. [ABSTRACT FROM AUTHOR]

Nanoporous materials have gained prominence across multiple domains, including catalysis, optics, energy conversion, and sensing, due to their uniquely large surface areas and tunable pore sizes that enhance reactivity, selectivity, and electronic properties. Electrodes comprising solid nanoporous materials are conventionally prepared via a multistep process typically requiring the dispersion of nanosized materials and the incorporation of noncatalytic additives, such as binder and conductive carbons, which hinder their scalability and overall performance. Here, we present an innovative approach to fabricate binder-free nanoporous Pt-based electrocatalysts for the hydrogen evolution reaction by combining electrochemical etching with magnetron sputtering. Direct sputtering of platinum onto an electrochemically etched titanium substrate yields a nanoporous electrode exhibiting a remarkable electrocatalytic performance. The Pt-coated nanoporous electrode demonstrates superior kinetics, low overpotential, and improved charge-transfer impedance in hydrogen evolution reactions. This technique offers a scalable and versatile means of creating nanoporous electrocatalyst materials, allowing for the design of tailored catalyst materials for use in sustainable energy conversion technologies. The integration of metal surface nanoengineering and magnetron sputtering provides a promising pathway for customized catalyst development, advancing cleaner energy conversion processes such as direct CO2 and N2 reduction for fuel and ammonia production. [ABSTRACT FROM AUTHOR]

The generation of solar H 2 emerges as a promising avenue for leveraging solar energy, contributing to mitigating climate change and restricting fossil fuel combustion. The advancement of the hydrogen economy significantly pivots on the production of hydrogen as a fundamental cornerstone. This article furnishes an overview of the available water-splitting technologies for harnessing solar energy as the primary source for hydrogen production, emphasizing the significant solar-to-hydrogen (STH) conversion efficiency. Photocatalytic water splitting, Photoelectrochemical water splitting, and Photovoltaic electrochemical water splitting have been thoroughly addressed over the past five-year period. A comprehensive assessment involves the evaluation and scrutiny of these solar technologies, acknowledging their commercial viability by analyzing key indicators like STH efficiency, robustness, economic likelihood, ecological sustainability, and other innovative attributes. [Display omitted] • Hydrogen economy is hailed as a pioneering element in sprouting a low-carbon future. • Solar hydrogen produced via water electrolysis is a reliable fossil fuel alternate. • Three core technologies delineate water splitting with distinct innovative features. • Elaborated on their advancements over the last five years extensively. • Each technology is methodically discussed highlighting their respective attributes. [ABSTRACT FROM AUTHOR]

Napier grass is crucial in reducing greenhouse gas emissions by substituting non-renewable resources. When Napier grass is burned, the carbon dioxide (CO2) released is roughly equal to the amount absorbed during its growth, making it a potentially carbon-neutral energy source. This study investigates the impact of ratooning (repeated harvesting) on various aspects of Napier grass, including growth, physiology, biomass production, nutrient content, and chemical analysis. It also explored the interaction between elevated CO2 levels and ratooning. Two experiments were conducted over 12 months. Experiment 1 took place in an open field at the Faculty of Agriculture, Universiti Putra Malaysia (UPM), with two treatments: no ratooning and ratooning at three months after planting (MAP). Experiment 2 was conducted in an open field at UPM and a greenhouse at Tenaga National Berhad Research, Kajang, Selangor. Eight combination treatments were studied: (T1) 1-month elevated CO2 (MECO2) - no ratooned, (T2) 1 MECO2-R at 3 MAP, (T3) 2 MECO2-noR, (T4) 2 MECO2-R at 3 MAP, (T5) 5 MECO2-noR, (T6) 5 MECO2-R at 3 MAP, (T7) 12 MECO2-noR, and (T8) 12 MECO2-R at 3 MAP. The results indicated that, in Experiment 1, no ratooning was more favourable for all parameters compared to ratooning. In Experiment 2, a 1-month exposure to elevated CO2 showed better results compared to longer exposure periods. In conclusion, Napier grass performed better when not subjected to ratooning and exposed to short-term elevated CO2 levels. This research highlights the potential of Napier grass as a sustainable and carbonneutral energy source. [ABSTRACT FROM AUTHOR]