Development Of Green Technologies Research Articles

Power allocation strategy for fuel cell distributed drive electric tractor based on adaptive multi-resolution analysis theory

Fuel cell distributed drive electric tractor (FCDET) provided a novel pathway for the development of green agricultural machinery technology. However, FCDET faced problems such as low traction efficiency, short endurance, and high hydrogen consumption. Relevant studies have shown that reasonable and effective power allocation strategy can improve the efficiency and reduce the energy consumption of fuel cell systems. In this paper, a drive power allocation strategy based on adaptive multi-resolution analysis theory (AMRA) was proposed. The strategy could realize effective decoupling between various energy sources, reduce the problems of frequent start-stop and large power fluctuation for fuel cells. We started with an equivalent circuit model of the fuel cell system, a total efficiency solution model, an energy dissipation model, and a drive motor response model. The first-time reconstruction strategy was based on Tunable Q-factor Wavelet Transform (TQWT) to obtain a subsequence that responds to the oscillatory characteristics of the power signal. The second-time reconstruction strategy took the low-frequency subsequence through Variational Mode Decomposition (VMD) into a number of discrete sub-signals with special sparse properties. Meanwhile, the Sparrow Search Algorithm (SSA) was used to obtain the optimal combined values of the modal decomposition layers and the quadratic penalty factor in the VMD on real time. Finally, the second-time decomposed subsequences and sub-signals were reconstructed according to the frequency characteristics, and the reconstructed power signals were redistributed among the individual energy sources. In order to validate the proposed power allocation strategy, we used the ET504-H prototype as a research object. The power information of plowing and transportation operating conditions was collected in Mengjin test base of China YTO Group. The MATLAB/Simulink-PXI joint simulation platform was set up and the driving motor bench test was carried out in the New Energy Key Laboratory of Henan Province. The results show that the AMRA-based FCDET drive power allocation strategy can effectively improve the energy utilization of the fuel cell system and the economy of the whole tractor operating unit. Compared to the power-following strategy under plowing and transportation conditions, the average efficiency of the fuel cell system was improved by 8.3 % and 3.3 %, the equivalent hydrogen consumption was reduced by 35.6 % and 43.89 %, respectively. The average efficiency of the drive motor was improved by 2.06 % and 2.08 %, the total energy consumption was reduced by 3.73 % and 2.6 %, respectively. This study can provide a theoretical foundation and a novel technical approach for the development of FCDET control system.

Dechlorination of wastewater from shell-based glucosamine processing by mangrove wetland-derived fungi.

Wastewater from processing crustacean shell features ultrahigh chloride content. Bioremediation of the wastewater is challenging due to the high chloride ion content, making it inhospitable for most microorganisms to survive and growth. In this study, mangrove wetland-derived fungi were first tested for their salt tolerance, and the highly tolerant isolates were cultured in shrimp processing wastewater and the chloride concentration was monitored. Notably, the filamentous fungal species Aspergillus piperis could remove over 70% of the chloride in the wastewater within 3 days, with the fastest biomass increase (2.01 times heavier) and chloride removal occurring between day one and two. The chloride ions were sequestered into the fungal cells. The genome of this fungal species contained Cl- conversion enzymes, which may have contributed to the ion removal. The fungal strain was found to be of low virulence in larval models and could serve as a starting point for further considerations in bioremediation of shell processing wastewater, promoting the development of green technology in the shell processing industry.

Has the Development of The Digital Economy Reduced the Growth Rate of Carbon Emissions?

Against the backdrop of the "30 · 60" dual carbon target, low-carbon development and the progress of the digital economy are the focus of attention at home and abroad. The digital economy has become an important driving force for high-quality economic development in China. This article studies panel data at the provincial level in China from 2011 to 2018, empirically testing the negative correlation between the development of the digital economy and the growth rate of carbon emissions, and verifying the mechanism effect of green technology innovation, Finally, the situation in the eastern, central, and western regions was discussed through sample analysis and robustness testing was conducted. Based on the above research conclusions, the following insights can be drawn: firstly, improve the speed and quality of digital economy development; Secondly, focus on the development of green innovative technologies.

Green hydrogen: A pathway to a sustainable energy future

The development of sustainable energy sources has become a major challenge for society. Green hydrogen, produced through the electrolysis of water using renewable energy sources, offers a potential solution to reducing our dependence on fossil fuels. The paper examines the integration of green hydrogen into various sectors, such as transportation, industry, power generation, and heating, highlighting its potential to decarbonize traditionally carbon-intensive areas. Furthermore, it analyses the strategies and policies employed by the European Union, Australia, Japan, the United States, and Canada to drive the development and adoption of green hydrogen technologies. The challenges and barriers that need to be addressed to fully realize the potential of green hydrogen, such as technological limitations, infrastructure development, costs and economic feasibility, regulatory and policy frameworks, and public perception and acceptance, have been investigated. Recommendations for overcoming these challenges and accelerating the adoption of green hydrogen technologies are provided, and the importance of research and development in this sector is emphasized.

Tracking and predicting technological knowledge interactions between artificial intelligence and wind power: Multimethod patent analysis

To track the dynamics of AI and wind power technology knowledge interaction and predict future interaction directions, this study proposes a multiview and multilayer patent analysis framework based on three data-driven methods: DMC co-occurrence networks, LDA, and link prediction. The framework is applied to collate and analyse patents related to wind power technologies using artificial intelligence from 2010 to 2021. We find that the number of AI and wind power technology knowledge interactions increases significantly over time, but the network is sparse overall and still has much room for improvement. Second, the AI and wind power technology knowledge interaction patterns show a shift from machine learning models (generation-side wind power technology) to deep learning models (generation-side and transmission- and distribution-side wind power technology) to hybrid AI models (generation, transmission, distribution, and power consumption in the whole process of wind power technology). Finally, possible future directions of interaction between AI and wind power are predicted. The proposed framework is expected to yield a new empirical perspective on green energy technology development. Additionally, the obtained results provide a comprehensive understanding of AI application research in wind power generation.

Analysis of the advantages and disadvantages of BIPV technology

As environmental problems such as the greenhouse effect and glacier melting become more and more serious, the society's awareness of environmental protection is becoming stronger and stronger, which makes the development of green buildings extremely important, and the development of many green building materials and environmental protection technologies is also increasing. more attention. In this article, BIPV (Building Integrated Photovoltaic) will be researched and its development discussed. BIPV is to reduce energy consumption through the effective use of solar energy. It is green, environmentally friendly and non-polluting. However, China started late in photovoltaics and lack of research in this area, which makes the application of BIPV technology in China still have high costs and lack of relevant building specification standards. This paper discusses the suggestions for the future development of BIPV technology, hoping to provide meager strength for the development of green buildings in China and provide direction for the future development of BIPV.

The Role of Green Energy Technologies Development, Carbon Finance, Carbon Tax and Economic Growth on Environmental Conditions in ASEAN Countries

Green technology and carbon finance have the potential to greatly add significance towards traditional financing practices related to carbon emissions because of information based nature, Thus, exploration of green technologies and carbon finance assist economies in the formulation of effective policies. By employing the panel data of ASEAN economies from 2011-2019, the study used CUP-FM and CUP-BC methods to empirically analyze the said relationship. The outcomes of the study revealed that green technologies, carbon finance, carbon taxes, economic growth decrease GHG emissions. It implies that the synergetic effect of green technologies, carbon finance, carbon tax and economic growth play an essential role in improving environmental conditions. Consequently, ASEAN region can reshape the policies by integrating green technologies and carbon finance and also looks into country’s local condition to improve the urban environmental efficiency, hence, achieving carbon neutralization goal.

Digitization, perception of policy uncertainty, and corporate green innovation: A study from China

A green economic transformation requires innovation in related technologies. The impact of digitalization on corporate green innovation must be investigated in the context of increasing policy uncertainty; therefore, this study uses data from listed manufacturing enterprises in China from 2011 to 2020, constructs a digitization and policy uncertainty perception index based on text analysis, and investigates corporate green technology innovation in light of digitization and policy uncertainty perception. The results indicate that digitization substantially and positively affects corporate green technology innovation, which raises its performance. An array of robustness tests, including instrumental variable methods, supports the conclusion that digitization enables green innovation. A Heterogeneity analysis also indicates that digitization has a pronounced impact on green technology innovation in large, capital-intensive, and state-owned enterprises. Frequent policy adjustment engenders an upsurge in policy uncertainty, which impedes corporate green technology innovation; however, digitization can play a vital role in alleviating the negative impacts of economic policy uncertainty, thereby accelerating the development of corporate green technologies. This article provides empirical evidence on achieving green and sustainable development in the digital era, making a valuable contribution to the existing literature.

Sustainable construction projects management in the AEC industry: analysis and visualization

Within the last decade, sustainable construction projects (SCPs) management has become a hot topic in the architecture, engineering, and construction (AEC) industry covering from building materials to the construction process. This study aims to systematically analyze literature concerning SCPs management between 2000 and October 2022 to improve the researchers’ overall understanding of SCPs management. From an objective analysis of co-occurrence keywords obtained by scientometric analysis, this study visualizes and conducts a detailed discussion about active studies and research trends. After discussing environmental, economic, and social sustainability indicators and their integration, the methods for improving SCPs management are summarized by a theoretical model. These methods include waste management, energy management, construction materials management, low-carbon management, green rating system, sustainable design, lean construction, knowledge management, capability building, value management, and implementation of new technology. Finally, future research directions are proposed, such as the social sustainability of different phases, the improvement of green rating systems, the development of green technologies, the collaboration of normative guidelines from different countries, and so on. This scientometric review explains the state-of-the-art research of SCPs management and encourages more interdisciplinary research involving relevant sustainability areas.

Ammonium Sulfite Slurry from Ammonia-Based Desulfurization Activates Water-Soluble Humic Substances from Lignite: Performance, Application, and Mechanism.

Both ammonium sulfite slurry (ASS) from ammonia-based desulfurization and lignite are waste materials with low value. In this work, an innovative method was developed by applying ASS in lignite activation to produce water-soluble humic substances (WHSs) with a high bioactivity and economic value. The optimal activation method was to mix lignite and ASS at a 4:1-liquid-solid ratio by vortex blender and then oscillate it for 30 min at 25 °C. Compared with that of the unactivated lignite (UAL), the yield of WHSs from activated lignite (AL) increased by 42.72%. WHSs from AL consisted of a large number of aliphatic carbons with low molecular weight and functional groups such as amides, amines, sulfonic acid groups, C-O, and so forth. Moreover, WHSs from AL at lower concentrations (2 mg/L) has a more obvious root-elongation-promoting effect than WHSs from UAL (10 mg/L). Activation experiment with the lignite-related model compounds revealed that ASS caused the breakage of Caliph-O, Caliph-Caliph, and Carom-Caliph linkages between aromatic rings. These findings provide a theoretical basis for the development of green and sustainable technologies for the beneficial reuse of ASS and lignite in agriculture.

Synergizing Machine Learning and the Aviation Sector in Lithium-Ion Battery Applications: A Review

Lithium-ion batteries, as a typical energy storage device, have broad application prospects. However, developing lithium-ion batteries with high energy density, high power density, long lifespan, and safety and reliability remains a huge challenge. Machine learning, as an emerging artificial intelligence technology, has successfully solved many problems in academic research on business, financial management, and high-dimensional complex problems. It has great potential for mining and revealing valuable information from experimental and theoretical datasets. Therefore, quantitative “structure function” correlations can be established to predict battery health status. Machine learning also shows significant advantages in strategy optimization such as energy optimization management strategy. For lithium-ion batteries, their performance and safety are closely related to the material structure, battery health, fault analysis, and diagnosis. This article reviews the application of machine learning in lithium-ion battery material research, battery health estimation, fault analysis, and diagnosis, and analyzes its application in aviation batteries in conjunction with the development of green aviation technology. By exploring the practical applications of machine learning algorithms and the advantages and disadvantages of different applications, this article summarizes and prospects the application of machine learning in lithium batteries, which is conducive to further understanding and development in this direction.

Financial performance-based assessment of companies’ competitiveness: Evidence from the Norwegian Shipbuilding Industry

The Norwegian maritime industry is at the forefront of green technology development, with shipyards playing a crucial role in testing, verification, and development. However, the industry faces challenges such as high personal costs, increasing competition from abroad, and cyclical market trends. This study aims to assess financial performance as indicator of firm-level competitiveness based on a set of 12 financial measures and test the hypothesis of the positive impact of portfolio diversification on shipyards’ competitiveness.The analysis utilizes data from four large construction yards and four medium-sized construction, repair, and maintenance yards in the Møre region. The methodology involves constructing a Shipyard Competitiveness Index with sub-indices for liquidity, profitability, solvency, and efficiency. Regression analysis is conducted to investigate the impact of ship variety, as a diversification parameter, on the competitiveness level.The obtained results reveal that during the analyzed period (2009–2020), companies in the group of large shipyards had better financial performance until 2017, while on the contrary, the second group of shipyards in the same period showed an increase in their competitiveness index. Moreover, the findings proved the presence of the positive relationship between diversification of portfolio and competitiveness index.This study contributes valuable insights for the Norwegian shipbuilding industry, highlighting the importance of financial performance assessment in measuring competitiveness. The study provides a foundation for future discussions on fostering sustainable growth and innovation within the maritime sector.

Green innovation and political embeddedness in China's heavily polluted industry: role of environmental disclosure, gender diversity, and enterprise growth.

Innovation in green technology is an efficient approach to reducing carbon emissions and achieving energy conservation, which is essential for fostering sustainable and green economic development. Even though the development of eco-friendly technologies is accelerating, the grasp of how political ties affect firms' adoption of green technologies remains hazy. This paper examines the effect of a firm's total political embeddedness (government ownership and political connections) along with the influencing mechanisms by employing a panel fixed effect regression approach on a dataset of Chinese A-share enterprises operating in pollution-intensive industries spanning 2012 to 2021. The findings offer conclusive evidence that political embeddedness encourages the enterprises' development of green technologies and boosts their output of innovation. In addition, mechanism analysis reveals that companies' political embedding influences their green innovation behavior through environmental disclosure. Moreover, board gender diversity and company growth rate are found to reinforce the impact of political embeddedness on green innovation. Besides expanding the current research on green innovation and corporate political involvement, the findings also provide important policy recommendations for the sustainable development of companies in emerging markets.

Green technology diversification, technology vertical spillovers, and energy intensity in Chinese cities

Drawing from patent data spanning 2011-2016 in 249 Chinese prefecture-level cities and urban scale multi-region input-output (MRIO) table data, this paper empirically demonstrates that as green technological diversification levels escalate, the energy intensity of Chinese prefecture-level cities exhibits an initial increase followed by a decline. Green technological diversification indirectly influences urban energy intensity through vertical spillovers of green technology across the upstream and downstream sectors within the supply chain. Medium-sized cities, service industry-oriented cities, and those in the early stages of industrialization need to prioritize development of multiple green technologies to surpass the diversification turning point. The finding suggests a strategic transition for Chinese cities from a single green technology agglomeration model to a cluster model of collaborative development of multiple green technologies.

Research and evaluation of spatiotemporal dynamic of network green innovation efficiency in China—based on meta-Frontier theory

Green innovation has emerged as a crucial driver for advancing green and high-quality development. Exploring the evolutionary patterns of green innovation efficiency is crucial for achieving the “dual carbon” goals and realizing the benefits of both economic growth and environmental sustainability under the framework of new development concepts. This study employs the network SBM-DEA model under meta-Frontier and group-Frontier. Additionally, it considers the GML index and Moran’s I to conduct a comprehensive analysis of the evolving efficiency of green innovation in Chinese provinces from 2008 to 2020, then uses the Tobit regression model to verify the influencing indicators for green innovation efficiency. The examination covers various aspects, including the stage of green innovation, the diversity of technology accumulation, the comparability of pre- and post-development, the spillover effects in geographical space, and the diversity of influencing factors. The research findings indicate the following: 1) The group division exhibit a high level of geographical correlation, and the efficiency of green innovation in the two-stage and network displays heterogeneity across distinct frontiers. The efficiency loss in the Green Achievement Transformation stage is bigger than that in the Green Technology Research and Development stage. 2) There is an overall increase in green innovation efficiency of each type during most years, and the spatial correlation and stability of the two-stage and network green innovation efficiency have improved year by year. Provinces with higher Green Innovation Environment Composite Index have the highest concentration of “high-high” efficiency agglomeration. 3) Environmental regulation intensity, factor endowment, property rights structure, foreign direct investment and energy consumption have varying degrees of constraints on green innovation, and the regional economic development level can significantly improve the efficiency of various green innovations. Finally, this paper provides some suggestions, including stimulating innovation vitality, formulating differentiated policies, strengthening regional innovation collaboration, and mobilizing resources from various stakeholders. These recommendations aim to provide guidance and reference for promoting green innovation and achieving sustainable development in different regions.

The Impact of Green Technology Research and Development (R&D) Investment on Performance: A Case Study of Listed Energy Companies in Beijing, China

The aim of this study is to investigate the relationship between green technology R&D investment and corporate performance (ROA) of 44 Beijing-listed energy companies from 2016 to 2021 using a threshold regression model. The results show that there is an inverse W-shaped nonlinear relationship between green technology R&D investment and firm performance. This means that green technology R&D investments only have a positive effect on firm performance within an appropriate green technology R&D investment interval, and a negative effect occurs outside this interval. Additionally, the study analyses the influence of three threshold variables (firm size, capital structure and capital density) on the relationship between green technology R&D investment and firm performance. The results show that firm size has an inversely- U-shaped relationship, the capital structure has a negative nonlinear relationship and the capital density has an inversely N-shaped relationship. Optimal intervals are observed for all three threshold variables. Moreover, the study shows that the green technology R&D investment intensity has a lagged effect on firm performance. The positive influence weakens over time, and the negative influence becomes more pronounced. The findings of the study can help energy companies to develop green technology R&D innovation strategies, such as differentiating green technology R&D expenditures for companies in different development situations. It can also exploit the driving effect of green technology R&D investment on firm performance in the context of China’s energy sector restructuring.

Biomass-derived carbon-based multicomponent integration catalysts for electrochemical water splitting.

Electrocatalytic water splitting powered by sustainable electricity is a crucial approach for the development of new generation green hydrogen technology. Biomass materials are abundant and renewable, and the application of catalysis can increase the value of some biomass waste and turn waste into treasure. Converting economical and resource-rich biomass into carbon-based multicomponent integrated catalysts (MICs) has been considered as one of the most promising ways to obtain inexpensive, renewable and sustainable electrocatalysts in recent years. In this review, recent advances in biomass-derived carbon-based MICs towards electrocatalytic water splitting are summarized, and the existing issues and key aspects in the development of these electrocatalysts are also discussed and prospected. The application of biomass-derived carbon-based materials will bring some new opportunities in the fields of energy, environment, and catalysis, as well as promote the commercialization of new nanocatalysts in the nearly future.

Technological Aspects and Potential Cutaneous Application of Wine Industry By-Products

The biomass of vinification results in up to 20% by-products (seeds, skins, pulp, and/or stems) that can be used in the production of diverse functional food, nutraceutical, pharmaceutical, and cosmetic ingredients, mainly due to their high polyphenol content. Conventional polyphenol extraction techniques are based on the use of solvents that are harmful to health and to the environment, creating a demand for sustainable complementary initiatives that mitigate part of the environmental effects and offer consumer safety. Current advances in these technologies allow for the recovery of valuable antioxidants from winemaking by-products free of hazardous solvents, biocompatible, and in compliance with international sustainable development guidelines. Nanotechnology has gained prominence in the development of green technologies to reduce or eliminate toxic agents and improve the stability and bioavailability of waste polyphenols. These efforts have led to the application of bioactive compounds from wine by-products in the development of more efficacious sunscreens, as a skin protection approach, and improvements in the antioxidant effectiveness of nanocarriers with potential use in the promotion of cutaneous health. We aimed to present different extraction and encapsulation technologies for biologically active compounds from wine by-products (Vitis vinifera L.). We also focused on a particular application of such compounds towards the development of value-added skin protection products aligned with a sustainable circular economy.

Numerical simulation study on the effects of co-injection of pulverized coal and SPL (Spent Pot-Lining) into the blast furnace

This study investigated the potential use of spent pot-lining (SPL) as a supplementary fuel in blast furnaces (BFs) to replace coke or pulverized coal (PC). A numerical model was established to study the combustion behavior of mixed fuel (MF) containing 80 % PC and 20 % SPL in the raceway of BF. The study focused on the effects of blast velocity, temperature, injection rate, and oxygen content on combustion. Results showed that the burnout rate has a positive relationship with blast velocity and oxygen content, and decreases with the increase of blast temperature and injection volume. To obtain a high temperature zone, it is recommended to increase the oxygen content and air volume of the blast, and the blast temperature (1473 K) and injection volume (169 kg/t) maintain the basic operating conditions. These results can provide insights into the potential use of SPL as a waste resource in iron-making processes, which can promote the substitution of industrial waste SPL for PC in high-energy-consuming industries, contribute to the development of green metallurgical technology, and advance global energy conservation and emission reduction techniques.

Energy Innovation for Individual Consumers in Poland—Analysis of Potential and Evaluation of Practical Applications in Selected Areas

Green technologies are undergoing strong development. These are created by global formal and legal regulations enforcing the reduction of the share of non-renewable energy sources in the energy systems of economies and the minimisation of harmful emissions through the development of technologies based on renewable energy sources. In addition, the development of green technologies is driven by the need to reduce the rising cost of electricity, particularly affecting households in countries heavily reliant on coal-fired power generation, where green technologies are only just gaining popularity (e.g., Poland). With this in mind, it was considered important to present the formal and legal background of the development of the Polish energy system towards sustainability and to discuss the green technology market in Poland, including innovative solutions in this field, which are or could be, applied to small individual consumers (households). The main objective of the study was to analyse the interest of households in innovative green technology solutions, determined by the surface area and cubic capacity of buildings, in order to strengthen the source material that can be used by decision-makers when designing a strategy for the development of the green energy market in Poland, with a special focus on individual consumers. The study was carried out based on a critical analysis of the available literature, regulations, and industry reports, as well as survey material enabling practical evaluation of solutions by users of innovative technologies. The practical research dimension was reinforced by statistical instrumentation, using the statistical instrument PQstat version 1.8.4.164. The main findings of this study show a significant level of openness of households in Poland to innovative green technologies and a clear relationship between the area and volume of a building and the range of choices made. The most popular solutions in this respect include photovoltaics, followed by heat pumps. Furthermore, it was noted that the area and cubic volume of a building determines the potential and scale of future strengthening of the RES dimension by small individual consumers.