Utilizing calcium-based adsorbents for CO2 adsorption through cyclic calcination/carbonization is one of the most cost-effective methods for carbon emission reduction. In order to improve the cycle stability of the adsorbents and the capture efficiency of CO2, this study used industrial solid waste coal fly ash for the hydration treatment of calcium-based adsorbent to explore the variations in the cyclic adsorption performance of the adsorbent under different doping ratios and hydration conditions. By means of various characterization techniques, the microscopic mechanism for improving the performance of the modified adsorbent was analyzed from the perspectives of chemical composition, physical structure, and surface functional groups of the adsorbents. The results demonstrated that the modification of coal fly ash could significantly enhance the carbonation performance and cycle stability of the adsorbent in multiple CO2 capture processes. The modified material doped with 5% coal fly ash had the highest total CO2 adsorption capacity, which increased by 13.7% compared to before modification. Additionally, the modified material doped with 10% coal fly ash exhibited the strongest cyclic adsorption capacity, which was 14.0% higher than that before modification, and the adsorption attenuation rate decreased by 32.2%. The characterization results showed that the reaction between calcium oxide and coal fly ash formed CaSiO3 and Ca12Al14O33 during the modification process, which was the primary reason for the improvement in the CO2 capture performance of the modified materials. This study provided a new perspective on the resource utilization of solid waste fly ash and efficient CO2 capture.
{"title":"A Study on the Mechanisms of Coal Fly Ash to Improve the CO2 Capture Efficiency of Calcium-Based Adsorbents","authors":"Ziyu Zhao, Kefan Zhang, Jianfeng Luo, Meixuan Wu, Xiyue Wang, Keke Wang, Shengyu Liu","doi":"10.3390/su16188139","DOIUrl":"https://doi.org/10.3390/su16188139","url":null,"abstract":"Utilizing calcium-based adsorbents for CO2 adsorption through cyclic calcination/carbonization is one of the most cost-effective methods for carbon emission reduction. In order to improve the cycle stability of the adsorbents and the capture efficiency of CO2, this study used industrial solid waste coal fly ash for the hydration treatment of calcium-based adsorbent to explore the variations in the cyclic adsorption performance of the adsorbent under different doping ratios and hydration conditions. By means of various characterization techniques, the microscopic mechanism for improving the performance of the modified adsorbent was analyzed from the perspectives of chemical composition, physical structure, and surface functional groups of the adsorbents. The results demonstrated that the modification of coal fly ash could significantly enhance the carbonation performance and cycle stability of the adsorbent in multiple CO2 capture processes. The modified material doped with 5% coal fly ash had the highest total CO2 adsorption capacity, which increased by 13.7% compared to before modification. Additionally, the modified material doped with 10% coal fly ash exhibited the strongest cyclic adsorption capacity, which was 14.0% higher than that before modification, and the adsorption attenuation rate decreased by 32.2%. The characterization results showed that the reaction between calcium oxide and coal fly ash formed CaSiO3 and Ca12Al14O33 during the modification process, which was the primary reason for the improvement in the CO2 capture performance of the modified materials. This study provided a new perspective on the resource utilization of solid waste fly ash and efficient CO2 capture.","PeriodicalId":22183,"journal":{"name":"Sustainability","volume":"6 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142264764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiangang Xu, Ning Huang, Jie Zhang, Xiaoan Zhang, Guangtian Shi, Xuanmin Li
Aeolian sand hazards are often a threat to culverts, which are important channels and pieces of infrastructure of the desert railway. In addition to wind speed, wind direction, and culvert structure, terrain may also be an important reason for the formation of culvert sand hazards. However, there are few studies on the effect of terrain on the sediment accumulation characteristics of culverts. This paper established computational fluid dynamics (CFD) models of railway culverts (flat and concave culverts) based on Euler’s two-fluid theory. An analysis of the influence of terrain on the distribution law of the flow fields and sand accumulation around railway culverts was carried out. The results show that the horizontal wind speed curves changes in a “W” shape along the centre axis surface from the forecourt to the rearcourt within a range of 30 m~66.8 m. Low-speed backflow is formed at the inlet and outlet of the culvert, and the minimum wind speed reaches −3.6 m/s and −4.2 m/s, respectively, when the height from the bottom of the culvert is 1.0 m and 1.5 m, resulting in intensified sand sedimentation. In concave culverts, the lower the roadbed height, the easier it is for sand to accumulate at the culvert outlet, the rearcourt, and the track; the sand volume fraction is close to 0.63, affecting the normal operation of the trains. On the contrary, the higher the roadbed, the easier it is for sand to accumulate at the culvert inlet, hindering the passage of engineering vehicles and reducing the function of the culverts. These results reveal that terrain plays a pivotal role in the sand accumulation around culverts and that it should be one of the key considerations for the design of new railway culverts. This work can provide a theoretical basis for preventing and managing sand hazards in railway culverts.
作为沙漠铁路重要通道和基础设施的涵洞经常受到风沙的威胁。除了风速、风向和涵洞结构外，地形也可能是形成涵洞风沙危害的重要原因。然而，有关地形对涵洞泥沙淤积特性影响的研究却很少。本文基于欧拉双流体理论，建立了铁路涵洞（平涵和凹涵）的计算流体动力学（CFD）模型。分析了地形对铁路涵洞周围流场分布规律和积沙的影响。结果表明，在 30 m~66.8 m 范围内，水平风速曲线沿中轴面从前庭到后庭呈 "W "形变化，在涵洞进口和出口处形成低速逆流，当涵洞底部高度为 1.0 m 和 1.5 m 时，最小风速分别达到-3.6 m/s 和-4.2 m/s，导致泥沙沉积加剧。在凹形涵洞中，路基高度越低，涵洞出口、后道和轨道处越容易积沙，沙体积分数接近 0.63，影响列车的正常运行。相反，路基越高，涵洞进口处越容易积沙，阻碍工程车辆通行，降低涵洞的功能。这些结果表明，地形对涵洞周围的积沙起着举足轻重的作用，应成为新建铁路涵洞设计的重要考虑因素之一。这项工作可为预防和管理铁路涵洞的风沙危害提供理论依据。
{"title":"Influence of Terrain on Windblown Sand Flow Field Characteristics around Railway Culverts","authors":"Jiangang Xu, Ning Huang, Jie Zhang, Xiaoan Zhang, Guangtian Shi, Xuanmin Li","doi":"10.3390/su16188128","DOIUrl":"https://doi.org/10.3390/su16188128","url":null,"abstract":"Aeolian sand hazards are often a threat to culverts, which are important channels and pieces of infrastructure of the desert railway. In addition to wind speed, wind direction, and culvert structure, terrain may also be an important reason for the formation of culvert sand hazards. However, there are few studies on the effect of terrain on the sediment accumulation characteristics of culverts. This paper established computational fluid dynamics (CFD) models of railway culverts (flat and concave culverts) based on Euler’s two-fluid theory. An analysis of the influence of terrain on the distribution law of the flow fields and sand accumulation around railway culverts was carried out. The results show that the horizontal wind speed curves changes in a “W” shape along the centre axis surface from the forecourt to the rearcourt within a range of 30 m~66.8 m. Low-speed backflow is formed at the inlet and outlet of the culvert, and the minimum wind speed reaches −3.6 m/s and −4.2 m/s, respectively, when the height from the bottom of the culvert is 1.0 m and 1.5 m, resulting in intensified sand sedimentation. In concave culverts, the lower the roadbed height, the easier it is for sand to accumulate at the culvert outlet, the rearcourt, and the track; the sand volume fraction is close to 0.63, affecting the normal operation of the trains. On the contrary, the higher the roadbed, the easier it is for sand to accumulate at the culvert inlet, hindering the passage of engineering vehicles and reducing the function of the culverts. These results reveal that terrain plays a pivotal role in the sand accumulation around culverts and that it should be one of the key considerations for the design of new railway culverts. This work can provide a theoretical basis for preventing and managing sand hazards in railway culverts.","PeriodicalId":22183,"journal":{"name":"Sustainability","volume":"55 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142264755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the light of the worsening of, and the adverse effects produced by, global warming, a study of Shanghai’s transport carbon emissions can provide an advanced model that can be replicated throughout other cities, thus assisting in the management and reduction of carbon emissions. Considering the volatility and nonlinearity of the carbon emission data series of the transport industry, a prediction model combining complementary ensemble empirical modal decomposition (CEEMD), the improved whale optimization algorithm (IWOA), and the Kernel Extreme Learning Machine (KELM) is proposed for a more accurate prediction of the forecasting of carbon emissions from Shanghai’s transport sector. First, nine indicators were screened as the influencing factors of Shanghai’s transport carbon emissions through the STIRPAT model, and the corresponding carbon emissions were calculated with data related to Shanghai’s transport carbon emissions from 1995 to 2019; Secondly, CEEMD was used to decompose the original data into multiple smooth series and one residual term, and KELM was applied to build a prediction model for each decomposition result, and IWOA was used to optimize the model parameters. The experimental results also demonstrate that CEEMD can effectively reduce model errors. Comparative experiments show that the IWOA algorithm can significantly enhance the stability of machine learning models. The outcomes of various experiments indicate that the CEEMD-IWOA-KELM model produces optimal results with the highest accuracy. Additionally, this model exhibits high stability, as it provides a wider range of methods for predicting carbon emissions and contributing to carbon reduction targets.
{"title":"Shanghai Transport Carbon Emission Forecasting Study Based on CEEMD-IWOA-KELM Model","authors":"Yueyang Gu, Cheng Li","doi":"10.3390/su16188140","DOIUrl":"https://doi.org/10.3390/su16188140","url":null,"abstract":"In the light of the worsening of, and the adverse effects produced by, global warming, a study of Shanghai’s transport carbon emissions can provide an advanced model that can be replicated throughout other cities, thus assisting in the management and reduction of carbon emissions. Considering the volatility and nonlinearity of the carbon emission data series of the transport industry, a prediction model combining complementary ensemble empirical modal decomposition (CEEMD), the improved whale optimization algorithm (IWOA), and the Kernel Extreme Learning Machine (KELM) is proposed for a more accurate prediction of the forecasting of carbon emissions from Shanghai’s transport sector. First, nine indicators were screened as the influencing factors of Shanghai’s transport carbon emissions through the STIRPAT model, and the corresponding carbon emissions were calculated with data related to Shanghai’s transport carbon emissions from 1995 to 2019; Secondly, CEEMD was used to decompose the original data into multiple smooth series and one residual term, and KELM was applied to build a prediction model for each decomposition result, and IWOA was used to optimize the model parameters. The experimental results also demonstrate that CEEMD can effectively reduce model errors. Comparative experiments show that the IWOA algorithm can significantly enhance the stability of machine learning models. The outcomes of various experiments indicate that the CEEMD-IWOA-KELM model produces optimal results with the highest accuracy. Additionally, this model exhibits high stability, as it provides a wider range of methods for predicting carbon emissions and contributing to carbon reduction targets.","PeriodicalId":22183,"journal":{"name":"Sustainability","volume":"40 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142264765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wenhao Wan, Yongzhong Tian, Jinglian Tian, Chengxi Yuan, Yan Cao, Kangning Liu
Land Use and Land Cover Change (LUCC) represents the interaction between human societies and the natural environment. Studies of LUCC simulation allow for the analysis of Land Use and Land Cover (LULC) patterns in a given region. Moreover, these studies enable the simulation of complex future LUCC scenarios by integrating multiple factors. Such studies can provide effective means for optimizing and making decisions about the future patterns of a region. This review conducted a literature search on geographic models and simulations in the Web of Science database. From the literature, we summarized the basic steps of spatiotemporal dynamic simulation of LUCC. The focus was on the current major models, analyzing their characteristics and limitations, and discussing their expanded applications in land use. This review reveals that current research still faces challenges such as data uncertainty, necessitating the advancement of more diverse data and new technologies. Future research can enhance the precision and applicability of studies by improving models and methods, integrating big data and multi-scale data, and employing multi-model coupling and various algorithmic experiments for comparison. This would support the advancement of land use spatiotemporal dynamic simulation research to higher levels.
土地利用和土地覆被变化 (LUCC) 代表了人类社会与自然环境之间的相互作用。通过对 LUCC 模拟的研究，可以分析特定区域的土地利用和土地覆被 (LULC) 模式。此外，这些研究还可以通过整合多种因素来模拟复杂的未来 LUCC 情景。此类研究可为优化和决策一个地区的未来模式提供有效手段。本综述在 Web of Science 数据库中对地理模型和模拟进行了文献检索。我们从文献中总结了 LUCC 时空动态模拟的基本步骤。重点是当前的主要模型，分析了它们的特点和局限性，并讨论了它们在土地利用方面的扩展应用。综述显示，目前的研究仍面临数据不确定性等挑战，因此需要更多样化的数据和新技术。未来的研究可以通过改进模型和方法、整合大数据和多尺度数据、采用多模型耦合和各种算法实验进行比较，来提高研究的精度和适用性。这将支持土地利用时空动态模拟研究向更高水平迈进。
{"title":"Research Progress in Spatiotemporal Dynamic Simulation of LUCC","authors":"Wenhao Wan, Yongzhong Tian, Jinglian Tian, Chengxi Yuan, Yan Cao, Kangning Liu","doi":"10.3390/su16188135","DOIUrl":"https://doi.org/10.3390/su16188135","url":null,"abstract":"Land Use and Land Cover Change (LUCC) represents the interaction between human societies and the natural environment. Studies of LUCC simulation allow for the analysis of Land Use and Land Cover (LULC) patterns in a given region. Moreover, these studies enable the simulation of complex future LUCC scenarios by integrating multiple factors. Such studies can provide effective means for optimizing and making decisions about the future patterns of a region. This review conducted a literature search on geographic models and simulations in the Web of Science database. From the literature, we summarized the basic steps of spatiotemporal dynamic simulation of LUCC. The focus was on the current major models, analyzing their characteristics and limitations, and discussing their expanded applications in land use. This review reveals that current research still faces challenges such as data uncertainty, necessitating the advancement of more diverse data and new technologies. Future research can enhance the precision and applicability of studies by improving models and methods, integrating big data and multi-scale data, and employing multi-model coupling and various algorithmic experiments for comparison. This would support the advancement of land use spatiotemporal dynamic simulation research to higher levels.","PeriodicalId":22183,"journal":{"name":"Sustainability","volume":"2 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142264760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The energy sector is a critical contributor to the growth and development of any country’s economy. However, ensuring robust cybersecurity within the context of smart energy services presents persistent usability challenges in an increasingly digital environment. This study explores the intersection of human-computer interaction (HCI), cybersecurity, and usability to identify and address issues that impact the overall security of smart energy management systems. By analyzing the complex relationships between users and security protocols, this research aims to enhance the security framework, promote better user adherence, and improve system usability. The study focuses on three primary objectives: (1) identifying the most prevalent usability issues in current cybersecurity practices; (2) examining the relationship between HCI and user compliance with security measures; and (3) proposing strategies to improve cybersecurity usability by leveraging HCI principles. Hybrid approaches utilizing artificial intelligence facilitate empirical analysis and framework evaluation. Additionally, a comparative study with six existing models has been conducted. By envisioning a future where security measures not only ensure enhanced protection but also integrate seamlessly into user experiences, this approach seeks to provide valuable insights into ongoing cybersecurity discussions and contribute to a more resilient security landscape against evolving digital threats.
{"title":"Integration of Cybersecurity, Usability, and Human-Computer Interaction for Securing Energy Management Systems","authors":"Abdullah M. Albarrak","doi":"10.3390/su16188144","DOIUrl":"https://doi.org/10.3390/su16188144","url":null,"abstract":"The energy sector is a critical contributor to the growth and development of any country’s economy. However, ensuring robust cybersecurity within the context of smart energy services presents persistent usability challenges in an increasingly digital environment. This study explores the intersection of human-computer interaction (HCI), cybersecurity, and usability to identify and address issues that impact the overall security of smart energy management systems. By analyzing the complex relationships between users and security protocols, this research aims to enhance the security framework, promote better user adherence, and improve system usability. The study focuses on three primary objectives: (1) identifying the most prevalent usability issues in current cybersecurity practices; (2) examining the relationship between HCI and user compliance with security measures; and (3) proposing strategies to improve cybersecurity usability by leveraging HCI principles. Hybrid approaches utilizing artificial intelligence facilitate empirical analysis and framework evaluation. Additionally, a comparative study with six existing models has been conducted. By envisioning a future where security measures not only ensure enhanced protection but also integrate seamlessly into user experiences, this approach seeks to provide valuable insights into ongoing cybersecurity discussions and contribute to a more resilient security landscape against evolving digital threats.","PeriodicalId":22183,"journal":{"name":"Sustainability","volume":"33 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142265014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Juan Carlos Armijos Armijos, Karen L. Ziller Carvajal, Paola von-Bischoffshausen León, Alex Araya Mena
Recently, concepts such as sustainable development, corporate social responsibility, and the circular economy have gained considerable prominence, transforming production models and business practices. However, there remains a degree of uncertainty regarding the actual level of adoption of these initiatives by companies. The objective of this study is to assess the level of implementation of the circular economy in Chilean companies using a 5D model, applied through an assessment tool called “5D Circular”. This model analyzes five key business dimensions: finance, customers, internal processes, learning and growth, and conscious integration. The study was carried out on a sample of 90 companies, using a scale of 1 to 5, where 1 represents a very low level of development and 5 a very high level. The results show that the companies in the sample have achieved a high level of implementation of the circular economy. However, the dimensions of internal processes and conscious integration show a comparatively lower level of development compared to the dimensions of learning and growth and finance, which show a high level of development. It is worth noting that all companies show advanced knowledge and significant application of the circular economy.
{"title":"Diagnostic Study to Evaluate the Degree of Development of the Circular Economy in Chilean Companies through the Application of a 5D Model","authors":"Juan Carlos Armijos Armijos, Karen L. Ziller Carvajal, Paola von-Bischoffshausen León, Alex Araya Mena","doi":"10.3390/su16188145","DOIUrl":"https://doi.org/10.3390/su16188145","url":null,"abstract":"Recently, concepts such as sustainable development, corporate social responsibility, and the circular economy have gained considerable prominence, transforming production models and business practices. However, there remains a degree of uncertainty regarding the actual level of adoption of these initiatives by companies. The objective of this study is to assess the level of implementation of the circular economy in Chilean companies using a 5D model, applied through an assessment tool called “5D Circular”. This model analyzes five key business dimensions: finance, customers, internal processes, learning and growth, and conscious integration. The study was carried out on a sample of 90 companies, using a scale of 1 to 5, where 1 represents a very low level of development and 5 a very high level. The results show that the companies in the sample have achieved a high level of implementation of the circular economy. However, the dimensions of internal processes and conscious integration show a comparatively lower level of development compared to the dimensions of learning and growth and finance, which show a high level of development. It is worth noting that all companies show advanced knowledge and significant application of the circular economy.","PeriodicalId":22183,"journal":{"name":"Sustainability","volume":"75 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142265018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiang Yu, Jianguo Bao, Qu Su, Wuzhu Zhang, Bei Ye, Xingzhu Zhou, Hongcheng Li, Xing Li
Arsenic contamination of various environmental components poses a serious threat to human and animal health. Soil As contamination is particularly hazardous, as soil is a vital pathway to the food chain. We conducted experiments on soil from a typical pharmaceutical and chemical industry relocation site in Hubei Province, focusing on modification using fly ash through mechanical and chemical mechanisms. We subjected varying proportions of lime, ferrous sulfate, and fly ash to mechanical ball milling and used these mixtures to perform remediation of arsenic-contaminated soil and site restoration. Our findings are as follows: in soil culture experiments, the As stabilization efficiency reached 90% within 90 days with ferrous salt-modified fly ash. In actual site restoration, As-stabilization efficiency exceeded 95% across different soil depths within 30 days, demonstrating significant stabilization effects. Optimal modified dosages were determined as 2% ferrous sulfate and 2% fly ash. After stabilization, As in the soil primarily existed in amorphous iron-aluminum oxide-bound (F3) and crystalline iron-aluminum oxide-bound (F3 + F4) and residual (F5) states. Fluctuations in the moisture content and pH mainly activated F3 and F4, transitioning them into exchangeable (F1) and surface-adsorbed (F2) states. Arsenic leaching was predominantly associated with the F1 form. Fly ash-based restoration technology demonstrates promising capabilities in waste treatment and pollution control, offering significant potential for widespread application.
{"title":"Stabilization and Remediation of Arsenic-Contaminated Soil: Fly Ash-Based Technology for Industrial Site Restoration","authors":"Jiang Yu, Jianguo Bao, Qu Su, Wuzhu Zhang, Bei Ye, Xingzhu Zhou, Hongcheng Li, Xing Li","doi":"10.3390/su16188132","DOIUrl":"https://doi.org/10.3390/su16188132","url":null,"abstract":"Arsenic contamination of various environmental components poses a serious threat to human and animal health. Soil As contamination is particularly hazardous, as soil is a vital pathway to the food chain. We conducted experiments on soil from a typical pharmaceutical and chemical industry relocation site in Hubei Province, focusing on modification using fly ash through mechanical and chemical mechanisms. We subjected varying proportions of lime, ferrous sulfate, and fly ash to mechanical ball milling and used these mixtures to perform remediation of arsenic-contaminated soil and site restoration. Our findings are as follows: in soil culture experiments, the As stabilization efficiency reached 90% within 90 days with ferrous salt-modified fly ash. In actual site restoration, As-stabilization efficiency exceeded 95% across different soil depths within 30 days, demonstrating significant stabilization effects. Optimal modified dosages were determined as 2% ferrous sulfate and 2% fly ash. After stabilization, As in the soil primarily existed in amorphous iron-aluminum oxide-bound (F3) and crystalline iron-aluminum oxide-bound (F3 + F4) and residual (F5) states. Fluctuations in the moisture content and pH mainly activated F3 and F4, transitioning them into exchangeable (F1) and surface-adsorbed (F2) states. Arsenic leaching was predominantly associated with the F1 form. Fly ash-based restoration technology demonstrates promising capabilities in waste treatment and pollution control, offering significant potential for widespread application.","PeriodicalId":22183,"journal":{"name":"Sustainability","volume":"27 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142264757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Damilola A. Asaleye, Darren J. Murphy, Philip Shine, Michael D. Murphy
This paper examined the practical impact of price-based demand-side management (DSM) for occupants of an office building connected to a renewable energy microgrid. There has been an absence of studies that have analyzed occupant reactions, in terms of perceived practicality, regarding the implementation of DSM in conjunction with factors including renewable energy generation, load shifting and energy costs. An increased understanding of the practicality of DSM will support future improvements in building energy efficiency and sustainability. Ten occupants of the National Build Energy Retrofit Test-bed (NBERT) were selected as a case study. The electricity consumption pattern of the NBERT occupants was derived over a period of two years. Five unique DSM schedules were developed for each of the NBERT occupants, and a survey was carried out to investigate the practicality of these DSM schedules. A real-time electricity pricing tariff, electricity CO2 intensity, three feed-in tariffs and two microgrid control methods were evaluated to assess the practicality of each DSM schedule on the ten NBERT occupants. The results showed that the incorporation of onsite renewable energy generation with price-based DSM had a positive impact (r = 0.69–0.75) on occupant practicality. Onsite renewable energy generation was able to offset the demand for expensive electricity from the grid during peak hours, which aligned with the occupants’ typical work schedules. However, the introduction of a feed-in tariff with a renewable energy microgrid made price-based DSM less practical (r = 0.15–0.64).
{"title":"The Practical Impact of Price-Based Demand-Side Management for Occupants of an Office Building Connected to a Renewable Energy Microgrid","authors":"Damilola A. Asaleye, Darren J. Murphy, Philip Shine, Michael D. Murphy","doi":"10.3390/su16188120","DOIUrl":"https://doi.org/10.3390/su16188120","url":null,"abstract":"This paper examined the practical impact of price-based demand-side management (DSM) for occupants of an office building connected to a renewable energy microgrid. There has been an absence of studies that have analyzed occupant reactions, in terms of perceived practicality, regarding the implementation of DSM in conjunction with factors including renewable energy generation, load shifting and energy costs. An increased understanding of the practicality of DSM will support future improvements in building energy efficiency and sustainability. Ten occupants of the National Build Energy Retrofit Test-bed (NBERT) were selected as a case study. The electricity consumption pattern of the NBERT occupants was derived over a period of two years. Five unique DSM schedules were developed for each of the NBERT occupants, and a survey was carried out to investigate the practicality of these DSM schedules. A real-time electricity pricing tariff, electricity CO2 intensity, three feed-in tariffs and two microgrid control methods were evaluated to assess the practicality of each DSM schedule on the ten NBERT occupants. The results showed that the incorporation of onsite renewable energy generation with price-based DSM had a positive impact (r = 0.69–0.75) on occupant practicality. Onsite renewable energy generation was able to offset the demand for expensive electricity from the grid during peak hours, which aligned with the occupants’ typical work schedules. However, the introduction of a feed-in tariff with a renewable energy microgrid made price-based DSM less practical (r = 0.15–0.64).","PeriodicalId":22183,"journal":{"name":"Sustainability","volume":"1 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142265045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Energy resources play a vital role in the process of urbanization, and the high level of energy consumption has significantly created an alarming situation for environmental degradation. Increased demand for energy consumption in the South Asian Association for Regional Cooperation (SAARC) zone is a core concern for decreasing the existing reserves of energy, especially nonrenewable energy, when the growth of urbanization is increasing also. This study investigates the impacts of urbanization on energy consumption in this region by identifying factors that influence energy use. We employed globally used econometric techniques to examine the relationship between energy use and urbanization. The results of the study indicate that all the independent variables used in the model (except urban population growth) were statistically significant with a 99% level of confidence. In addition, the findings of this study recognized three long-run causalities running from the GDP (gross domestic product) to energy consumption, energy consumption to GDP, and energy consumption to the industry’s share of the countries’ GDP. We recommend (i) taking the initiative to invest in renewable energy, (ii) implementing green energy-efficient technologies in the industrial sector, and (iii) raising public awareness of the negative effects of energy use on the environment through education.
能源资源在城市化进程中发挥着至关重要的作用，而高水平的能源消耗已严重造成了令人担忧的环境退化状况。南亚区域合作联盟（SAARC）地区对能源消耗需求的增加是一个核心问题，因为在城市化增长的同时，现有的能源储备，尤其是不可再生能源的储备也在减少。本研究通过确定影响能源使用的因素，调查城市化对该地区能源消耗的影响。我们采用了全球通用的计量经济学技术来研究能源使用与城市化之间的关系。研究结果表明，模型中使用的所有自变量（除城市人口增长外）在 99% 的置信度下均具有统计意义。此外，本研究的结果还确认了从 GDP（国内生产总值）到能源消耗、能源消耗到 GDP 以及能源消耗到工业在各国 GDP 中所占份额的三个长期因果关系。我们建议：(i) 主动投资可再生能源；(ii) 在工业部门实施绿色节能技术；(iii) 通过教育提高公众对能源使用对环境的负面影响的认识。
{"title":"Impacts of Urbanization on Energy Consumption in the South Asian Association for Regional Cooperation Zone","authors":"Tithy Dev, Morteza Haghiri, Gabriela Sabau","doi":"10.3390/su16188141","DOIUrl":"https://doi.org/10.3390/su16188141","url":null,"abstract":"Energy resources play a vital role in the process of urbanization, and the high level of energy consumption has significantly created an alarming situation for environmental degradation. Increased demand for energy consumption in the South Asian Association for Regional Cooperation (SAARC) zone is a core concern for decreasing the existing reserves of energy, especially nonrenewable energy, when the growth of urbanization is increasing also. This study investigates the impacts of urbanization on energy consumption in this region by identifying factors that influence energy use. We employed globally used econometric techniques to examine the relationship between energy use and urbanization. The results of the study indicate that all the independent variables used in the model (except urban population growth) were statistically significant with a 99% level of confidence. In addition, the findings of this study recognized three long-run causalities running from the GDP (gross domestic product) to energy consumption, energy consumption to GDP, and energy consumption to the industry’s share of the countries’ GDP. We recommend (i) taking the initiative to invest in renewable energy, (ii) implementing green energy-efficient technologies in the industrial sector, and (iii) raising public awareness of the negative effects of energy use on the environment through education.","PeriodicalId":22183,"journal":{"name":"Sustainability","volume":"4 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142264763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The implementation of green initiatives by hospitality employees can significantly enhance the environmental sustainability of hospitality firms. However, there is a lack of research exploring the mechanisms influencing hospitality employees’ green innovative work behavior (GIWB). Through the mediation paths of green soft talent management (GSTM) and green hard talent management (GHTM), this study seeks to investigate how entrepreneurial leadership promotes GIWB. The data from 366 employees and managers in Pakistan’s hospitality industry were collected through a survey method using partial least squares structural equation modeling (PLS-SEM). The findings reveal that the effects of entrepreneurial leadership on GIWB, the direct effects of GSTM and GHTM, and the interaction effects between entrepreneurial leadership and GIWB are substantial. Based on the upper echelons theory and the resource-based view concept, this study extends research on the leadership–GIWB macro nexus and increases our understanding of the mechanisms behind employee GIWB, particularly in the hospitality setting.
{"title":"Entrepreneurial Leadership and Green Innovative Work Behavior: The Role of Green Soft and Hard Talent Management with a Dual Theoretical Lens","authors":"Li Yan, Zeeshan Ahmed, Mishal Khosa, Abdulaziz Fahmi Omar Faqera, Afeez Kayode Ibikunle, Ayesha Rashid Khan","doi":"10.3390/su16188136","DOIUrl":"https://doi.org/10.3390/su16188136","url":null,"abstract":"The implementation of green initiatives by hospitality employees can significantly enhance the environmental sustainability of hospitality firms. However, there is a lack of research exploring the mechanisms influencing hospitality employees’ green innovative work behavior (GIWB). Through the mediation paths of green soft talent management (GSTM) and green hard talent management (GHTM), this study seeks to investigate how entrepreneurial leadership promotes GIWB. The data from 366 employees and managers in Pakistan’s hospitality industry were collected through a survey method using partial least squares structural equation modeling (PLS-SEM). The findings reveal that the effects of entrepreneurial leadership on GIWB, the direct effects of GSTM and GHTM, and the interaction effects between entrepreneurial leadership and GIWB are substantial. Based on the upper echelons theory and the resource-based view concept, this study extends research on the leadership–GIWB macro nexus and increases our understanding of the mechanisms behind employee GIWB, particularly in the hospitality setting.","PeriodicalId":22183,"journal":{"name":"Sustainability","volume":"189 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142265015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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