Pub Date : 2025-12-01DOI: 10.1016/j.gerr.2025.100154
Yisong Liu , Linglin Xu , Zhiyuan Zhang , Changzai Ren , Dandan Sun , Yi Bao , Kai Wu
The high carbon emissions associated with the cement industry underscore the urgent need for low-carbon alternative materials. Compared with other alternatives, Reactive Magnesia Cement (RMC) offers the potential to absorb CO2. However, current research on RMC remains fragmented, lacking a systematic overview of its complete processing route. This review summarizes the carbonation mechanism of RMC and provides a comprehensive discussion of evaluation methods for its carbonation degree. In addition, the review provides an in-depth analysis of factors influencing carbonation and strategies to enhance it. Specifically, we categorize the mechanisms and evaluate the effectiveness of various methods, with an emphasis on environmentally friendly production processes to identify the most optimal approaches. Finally, the study highlights the carbon footprint of RMC and discusses the challenges associated with achieving low-carbon RMC production.
{"title":"Review of carbon capture and conversion with reactive magnesia cement materials","authors":"Yisong Liu , Linglin Xu , Zhiyuan Zhang , Changzai Ren , Dandan Sun , Yi Bao , Kai Wu","doi":"10.1016/j.gerr.2025.100154","DOIUrl":"10.1016/j.gerr.2025.100154","url":null,"abstract":"<div><div>The high carbon emissions associated with the cement industry underscore the urgent need for low-carbon alternative materials. Compared with other alternatives, Reactive Magnesia Cement (RMC) offers the potential to absorb CO<sub>2</sub>. However, current research on RMC remains fragmented, lacking a systematic overview of its complete processing route. This review summarizes the carbonation mechanism of RMC and provides a comprehensive discussion of evaluation methods for its carbonation degree. In addition, the review provides an in-depth analysis of factors influencing carbonation and strategies to enhance it. Specifically, we categorize the mechanisms and evaluate the effectiveness of various methods, with an emphasis on environmentally friendly production processes to identify the most optimal approaches. Finally, the study highlights the carbon footprint of RMC and discusses the challenges associated with achieving low-carbon RMC production.</div></div>","PeriodicalId":100597,"journal":{"name":"Green Energy and Resources","volume":"3 4","pages":"Article 100154"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Vanadium redox flow batteries (VRFBs) have held significant promise in large-scale energy storage applications due to their advantages, including long cycle life, high safety, and the ability to independently design power and capacity. However, the relatively low power density has remained a critical bottleneck for further development. As a key material in VRFB power units, enhancing the performance of graphite felt electrodes has represented an effective strategy for achieving high-power battery technology. To improve the activity of graphite felt electrodes, this study has employed an experimental verification approach to investigate battery performance parameters under various activation temperatures and durations, thereby identifying the optimal activation conditions. In contrast to prior studies that exclusively targeted 400°C without systematically optimizing activation duration, this study has systematically evaluated five activation temperatures and four activation durations to clarify the synergistic influence of these parameters on VRFB performance. Specifically, experiments have been conducted at room temperature using activation temperatures of 300, 350, 400, 450, and 500°C, as well as activation durations of 24, 11, 7, and 3 h. The results have indicated that an activation temperature of 400°C yielded notable improvements in charge/discharge performance, internal resistance, efficiency, and capacity retention. Notably, energy efficiency has increased by 5.06%, 5.94%, 3.67%, and 4.72% under these conditions. This study has identified the optimal activation conditions of “400°C for 7 h” and has provided the corresponding performance data, which can help reduce research costs associated with electrode activation in future investigations. This study has provided valuable insights into electrode activation and has offered guidance for enhancing VRFB performance.
{"title":"Experimental verification of electrode activation for improved performance in vanadium redox flow batteries","authors":"Zhi Zhuge , Zebo Huang , Osamah Ibrahim Khalaf , Longxing Wu","doi":"10.1016/j.gerr.2025.100155","DOIUrl":"10.1016/j.gerr.2025.100155","url":null,"abstract":"<div><div>Vanadium redox flow batteries (VRFBs) have held significant promise in large-scale energy storage applications due to their advantages, including long cycle life, high safety, and the ability to independently design power and capacity. However, the relatively low power density has remained a critical bottleneck for further development. As a key material in VRFB power units, enhancing the performance of graphite felt electrodes has represented an effective strategy for achieving high-power battery technology. To improve the activity of graphite felt electrodes, this study has employed an experimental verification approach to investigate battery performance parameters under various activation temperatures and durations, thereby identifying the optimal activation conditions. In contrast to prior studies that exclusively targeted 400°C without systematically optimizing activation duration, this study has systematically evaluated five activation temperatures and four activation durations to clarify the synergistic influence of these parameters on VRFB performance. Specifically, experiments have been conducted at room temperature using activation temperatures of 300, 350, 400, 450, and 500°C, as well as activation durations of 24, 11, 7, and 3 h. The results have indicated that an activation temperature of 400°C yielded notable improvements in charge/discharge performance, internal resistance, efficiency, and capacity retention. Notably, energy efficiency has increased by 5.06%, 5.94%, 3.67%, and 4.72% under these conditions. This study has identified the optimal activation conditions of “400°C for 7 h” and has provided the corresponding performance data, which can help reduce research costs associated with electrode activation in future investigations. This study has provided valuable insights into electrode activation and has offered guidance for enhancing VRFB performance.</div></div>","PeriodicalId":100597,"journal":{"name":"Green Energy and Resources","volume":"3 4","pages":"Article 100155"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bioethanol plays a crucial role in the global transition to sustainability, serving as a renewable fuel especially in the transportation sector, and a versatile renewable chemical precursor in industries, mitigating greenhouse gas (GHG) emissions. Although bioethanol is renewable, its production is still carbon-intensive, with most emissions arising from fermentation and cogeneration. Despite significant advancements, existing works on bioethanol have largely focused on individual decarbonization elements (e.g., CCU, CCS in bioenergy, and process intensification in ethanol production). Few studies link these strategies together to show how they could collectively move bioethanol toward carbon-negative production. This review aims to fill that gap by systematically analyzing the evolution of bioethanol production processes, identifying key sources of CO2 emissions, and critically evaluating state-of-the-art strategies—including process optimization, CCU, and CCS—within a unified framework. Overall, this review underscores that integrating process optimization, CCU, and CCS can transform bioethanol production from a low-carbon fuel into a negative-emission technology, reinforcing its pivotal role in global decarbonization efforts.
{"title":"A review on comprehensive strategies for decarbonizing bioethanol production process","authors":"Treerat Vacharanukrauh , Apinan Soottitantawat , Nuttha Thongchul , Worapon Kiatkittipong , Nopphon Weeranoppanant , Suttichai Assabumrungrat","doi":"10.1016/j.gerr.2025.100153","DOIUrl":"10.1016/j.gerr.2025.100153","url":null,"abstract":"<div><div>Bioethanol plays a crucial role in the global transition to sustainability, serving as a renewable fuel especially in the transportation sector, and a versatile renewable chemical precursor in industries, mitigating greenhouse gas (GHG) emissions. Although bioethanol is renewable, its production is still carbon-intensive, with most emissions arising from fermentation and cogeneration. Despite significant advancements, existing works on bioethanol have largely focused on individual decarbonization elements (e.g., CCU, CCS in bioenergy, and process intensification in ethanol production). Few studies link these strategies together to show how they could collectively move bioethanol toward carbon-negative production. This review aims to fill that gap by systematically analyzing the evolution of bioethanol production processes, identifying key sources of CO<sub>2</sub> emissions, and critically evaluating state-of-the-art strategies—including process optimization, CCU, and CCS—within a unified framework. Overall, this review underscores that integrating process optimization, CCU, and CCS can transform bioethanol production from a low-carbon fuel into a negative-emission technology, reinforcing its pivotal role in global decarbonization efforts.</div></div>","PeriodicalId":100597,"journal":{"name":"Green Energy and Resources","volume":"3 4","pages":"Article 100153"},"PeriodicalIF":0.0,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145467489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-04DOI: 10.1016/j.gerr.2025.100151
Qi Nie , Jianlu Zhu , Liang Hao , Yuxing Li
For deep-sea oil exploitation far away from land, there is inevitably the generation of oilfield-associated gas. It is a new method for recover oilfield associated gas by using a high-gravity device to generate hydrate. In this paper, the methane hydrate formation process of different packings in the high-gravity machine was studied. By comparing the structural morphology of varying packings and the characteristics of the hydrate in the high-gravity machine, a new type of layered packing is designed and manufactured. The volumetric storage capacity, normalized gas consumption rates and methane absorption time of foam metal packing, metal mesh packing, 3D printing spiral packing, and new layered packing were investigated experimentally. The results show that the new layered packing has significant advantages. The maximum volumetric storage capacity, normalized gas consumption rate, and the shortest methane absorption time are 239265 mol/(m3·min), and 74 min, respectively. It exhibits an excellent methane hydrate formation effect and the advantage of small equipment size. It is very suitable for the recovery of oilfield-associated gas produced in the process of offshore oil exploitation.
{"title":"Methane hydrate formation using high gravity equipment: A new method for recovery of associated gas in offshore oilfields","authors":"Qi Nie , Jianlu Zhu , Liang Hao , Yuxing Li","doi":"10.1016/j.gerr.2025.100151","DOIUrl":"10.1016/j.gerr.2025.100151","url":null,"abstract":"<div><div>For deep-sea oil exploitation far away from land, there is inevitably the generation of oilfield-associated gas. It is a new method for recover oilfield associated gas by using a high-gravity device to generate hydrate. In this paper, the methane hydrate formation process of different packings in the high-gravity machine was studied. By comparing the structural morphology of varying packings and the characteristics of the hydrate in the high-gravity machine, a new type of layered packing is designed and manufactured. The volumetric storage capacity, normalized gas consumption rates and methane absorption time of foam metal packing, metal mesh packing, 3D printing spiral packing, and new layered packing were investigated experimentally. The results show that the new layered packing has significant advantages. The maximum volumetric storage capacity, normalized gas consumption rate, and the shortest methane absorption time are 239265 mol/(m<sup>3</sup>·min), and 74 min, respectively. It exhibits an excellent methane hydrate formation effect and the advantage of small equipment size. It is very suitable for the recovery of oilfield-associated gas produced in the process of offshore oil exploitation.</div></div>","PeriodicalId":100597,"journal":{"name":"Green Energy and Resources","volume":"3 4","pages":"Article 100151"},"PeriodicalIF":0.0,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145323997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-02DOI: 10.1016/j.gerr.2025.100152
Jingxiao Zhang , Lei Gao , Xin Liu , Martin Skitmore
Transit-Oriented Development (TOD) has emerged as a critical strategy for advancing the green transformation of China's low-carbon cities. Conducting carbon footprint research on TOD from a whole life cycle perspective holds profound significance for achieving the Dual Carbon Goals. This study constructs five carbon footprint calculation models based on life cycle assessment theory. Setting four residential travel scenario assumptions thoroughly examines the whole life cycle carbon emissions of China SH TOD project and the carbon reduction achieved through transportation during the operation phase. Results indicate that total carbon emissions in the study area amount to 2.9902 million tons. Considering solely the carbon reduction effect from shifts in resident travel modes under the TOD model, the total carbon reduction reaches 203600 tons, with a carbon reduction effectiveness evaluation index of 6.81%. Compared to the continuous increase in carbon footprint observed after the operation of traditional residential and commercial projects, the carbon reduction effect is notably significant. Furthermore, the study identified key high-emission stages within the lifecycle through model-based calculations and proposed targeted mitigation strategies. These findings provide recommendations for energy conservation, carbon reduction, and sustainable development in TOD projects.
{"title":"Accounting the life cycle carbon footprint for TOD project: An example from the China SH TOD project","authors":"Jingxiao Zhang , Lei Gao , Xin Liu , Martin Skitmore","doi":"10.1016/j.gerr.2025.100152","DOIUrl":"10.1016/j.gerr.2025.100152","url":null,"abstract":"<div><div>Transit-Oriented Development (TOD) has emerged as a critical strategy for advancing the green transformation of China's low-carbon cities. Conducting carbon footprint research on TOD from a whole life cycle perspective holds profound significance for achieving the Dual Carbon Goals. This study constructs five carbon footprint calculation models based on life cycle assessment theory. Setting four residential travel scenario assumptions thoroughly examines the whole life cycle carbon emissions of China SH TOD project and the carbon reduction achieved through transportation during the operation phase. Results indicate that total carbon emissions in the study area amount to 2.9902 million tons. Considering solely the carbon reduction effect from shifts in resident travel modes under the TOD model, the total carbon reduction reaches 203600 tons, with a carbon reduction effectiveness evaluation index of 6.81%. Compared to the continuous increase in carbon footprint observed after the operation of traditional residential and commercial projects, the carbon reduction effect is notably significant. Furthermore, the study identified key high-emission stages within the lifecycle through model-based calculations and proposed targeted mitigation strategies. These findings provide recommendations for energy conservation, carbon reduction, and sustainable development in TOD projects.</div></div>","PeriodicalId":100597,"journal":{"name":"Green Energy and Resources","volume":"3 4","pages":"Article 100152"},"PeriodicalIF":0.0,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145467490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-01DOI: 10.1016/j.gerr.2025.100143
Yichao Chen , Wanyao Li , Haofei Li , Yuhong Qin , Shugang Guo , Bin Fang , Yujia Du , Jin Yuan , Leteng Lin
Establishing the quantitative relationships between heavy metals and mineral phases in coal gangue is essential for its comprehensive landfill and refined utilization. In this study, the Guandi coal gangue was subjected to a stepwise dissociation method using seven concentration gradients (0.1, 1.0, 4.0, 6.0, 8.0, 10.0, 12.0 mol/L) of aqua regia and hydrofluoric acid. Combined with the Rietveld refinement method, inverse matrix calculations of residual fractions of mineral phases and dissociation degrees of heavy metals after dissociation, the quantitative relationships between Pb, As, Zn, Cr and the mineral phases were determined. The results show that kaolinite, quartz, pyrite, and the amorphous phase are the primary host phases for Pb, As, Zn, and Cr, with their contents in crystalline phases ranging from 71.36% to 87.68%. Validation via the standard addition method demonstrates that the relative standard deviation of the stepwise dissociation for Pb, As, Zn, and Cr is ≤7.23%, with spike recovery rates ranging from 85.43% to 112.85%, indicating favorable test results. Sequential chemical leaching demonstrates that heavy metals are mainly distributed in stable aluminosilicate-bound state and carbonate or oxide-bound state. The toxicity characteristic leaching procedure test indicated that Cr exhibited high toxicity and thus required long-term monitoring. The results of this study provide important theoretical guidance for the comprehensive landfilling and resource utilization of Guandi coal gangue, and the established analytical method can be extended to studies on quantitative relationships between heavy metals and mineral phases in other tailings.
{"title":"Insight into the occurrence relationships between Pb, As, Zn and Cr with minerals phases in the coal gangue: A novel quantitative dissociation method","authors":"Yichao Chen , Wanyao Li , Haofei Li , Yuhong Qin , Shugang Guo , Bin Fang , Yujia Du , Jin Yuan , Leteng Lin","doi":"10.1016/j.gerr.2025.100143","DOIUrl":"10.1016/j.gerr.2025.100143","url":null,"abstract":"<div><div>Establishing the quantitative relationships between heavy metals and mineral phases in coal gangue is essential for its comprehensive landfill and refined utilization. In this study, the Guandi coal gangue was subjected to a stepwise dissociation method using seven concentration gradients (0.1, 1.0, 4.0, 6.0, 8.0, 10.0, 12.0 mol/L) of aqua regia and hydrofluoric acid. Combined with the Rietveld refinement method, inverse matrix calculations of residual fractions of mineral phases and dissociation degrees of heavy metals after dissociation, the quantitative relationships between Pb, As, Zn, Cr and the mineral phases were determined. The results show that kaolinite, quartz, pyrite, and the amorphous phase are the primary host phases for Pb, As, Zn, and Cr, with their contents in crystalline phases ranging from 71.36% to 87.68%. Validation via the standard addition method demonstrates that the relative standard deviation of the stepwise dissociation for Pb, As, Zn, and Cr is ≤7.23%, with spike recovery rates ranging from 85.43% to 112.85%, indicating favorable test results. Sequential chemical leaching demonstrates that heavy metals are mainly distributed in stable aluminosilicate-bound state and carbonate or oxide-bound state. The toxicity characteristic leaching procedure test indicated that Cr exhibited high toxicity and thus required long-term monitoring. The results of this study provide important theoretical guidance for the comprehensive landfilling and resource utilization of Guandi coal gangue, and the established analytical method can be extended to studies on quantitative relationships between heavy metals and mineral phases in other tailings.</div></div>","PeriodicalId":100597,"journal":{"name":"Green Energy and Resources","volume":"3 3","pages":"Article 100143"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145120980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-01DOI: 10.1016/j.gerr.2025.100140
Ruiying Wang , Tao Qi , Hongfeng Ji , Gang Du , Canhua Li , Shujing Zhu , Jiamao Li , Chen Zhao
Currently, more and more industrial carbon emissions lead to a significant increase in greenhouse gases, which has a significant impact on global climate change. Therefore, the storage and reuse of carbon dioxide is an important issue in modern society. In this paper, calcium based CO2 absorbent was prepared from converter slag by acetic acid extraction and modification of steel slag. The study investigated the effects of parameters in indirect acetic acid leaching, including acetic acid concentration, leaching time, solid-to-liquid ratio, and temperature, on the elemental content in the adsorbent. It also compared the cyclic adsorbent stability of calcium-based adsorbents with commercial calcium oxide. The results indicated that the optimal technical parameters were: acetic acid concentration 1 mol/L, leaching time 40 min, solid-liquid ratio of 1:10, leaching temperature of 40°C, achieving an extraction rate of 88.05% for calcium elements. Its initial CO2 adsorbent capacity is 0.51 gCO2/gadsorbent, and the CO2 adsorbent capacity after 20 cycles is 0.202 gCO2/gadsorbent, and the inactivation rate is 60.39%. Compared with AR CaO, the adsorbent has more ideal CO2 capture ability.
{"title":"Study on preparation technology and properties of calcium based CO2 absorbent from acid leaching steel slag","authors":"Ruiying Wang , Tao Qi , Hongfeng Ji , Gang Du , Canhua Li , Shujing Zhu , Jiamao Li , Chen Zhao","doi":"10.1016/j.gerr.2025.100140","DOIUrl":"10.1016/j.gerr.2025.100140","url":null,"abstract":"<div><div>Currently, more and more industrial carbon emissions lead to a significant increase in greenhouse gases, which has a significant impact on global climate change. Therefore, the storage and reuse of carbon dioxide is an important issue in modern society. In this paper, calcium based CO<sub>2</sub> absorbent was prepared from converter slag by acetic acid extraction and modification of steel slag. The study investigated the effects of parameters in indirect acetic acid leaching, including acetic acid concentration, leaching time, solid-to-liquid ratio, and temperature, on the elemental content in the adsorbent. It also compared the cyclic adsorbent stability of calcium-based adsorbents with commercial calcium oxide. The results indicated that the optimal technical parameters were: acetic acid concentration 1 mol/L, leaching time 40 min, solid-liquid ratio of 1:10, leaching temperature of 40°C, achieving an extraction rate of 88.05% for calcium elements. Its initial CO<sub>2</sub> adsorbent capacity is 0.51 g<sub>CO2</sub>/g<sub>adsorbent</sub>, and the CO<sub>2</sub> adsorbent capacity after 20 cycles is 0.202 g<sub>CO2/</sub>g<sub>adsorbent</sub>, and the inactivation rate is 60.39%. Compared with AR CaO, the adsorbent has more ideal CO<sub>2</sub> capture ability.</div></div>","PeriodicalId":100597,"journal":{"name":"Green Energy and Resources","volume":"3 3","pages":"Article 100140"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145094870","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-01DOI: 10.1016/j.gerr.2025.100142
Fu-cheng Wang , Wei Wang , Jia-mei Wen , Jia-bing Tian , Jin-qi Zhao , Yaqoob Majeed
To investigate the warming effect of rice straw ash (RSA) cement mortar facing on sunning water pools, this study focuses on a sunning water pool with a 5% substitution rate of RSA in its cement mortar facing. A temperature control test was conducted to compare it with a conventional cement mortar-faced sunning water pool. Additionally, finite element software was employed to create models for both the RSA and conventional cement mortar-faced sunning water pools, facilitating an analysis of the variations in water temperature within these systems.The results indicate that the RSA cement mortar facing can enhance the daily average water temperature of the sunning water pools by 0.1–0.6°C compared to those featuring conventional cement mortar facing. Simulation data reveal that the water temperature in the sunning water pool utilizing RSA cement mortar facing is approximately 0.46°C higher than that observed in its counterpart with standard cement mortar facing. The trends identified through theoretical calculations, experimental data, and simulation results are largely consistent, suggesting that RSA cement mortar facing effectively improves the thermal performance of sunning water pools.These findings provide valuable theoretical support for implementing RSA cement mortar in agricultural facilities.
{"title":"Study on the influence of rice straw ash cement mortar finish on the temperature pattern of sunning water pool in cold regions","authors":"Fu-cheng Wang , Wei Wang , Jia-mei Wen , Jia-bing Tian , Jin-qi Zhao , Yaqoob Majeed","doi":"10.1016/j.gerr.2025.100142","DOIUrl":"10.1016/j.gerr.2025.100142","url":null,"abstract":"<div><div>To investigate the warming effect of rice straw ash (RSA) cement mortar facing on sunning water pools, this study focuses on a sunning water pool with a 5% substitution rate of RSA in its cement mortar facing. A temperature control test was conducted to compare it with a conventional cement mortar-faced sunning water pool. Additionally, finite element software was employed to create models for both the RSA and conventional cement mortar-faced sunning water pools, facilitating an analysis of the variations in water temperature within these systems.The results indicate that the RSA cement mortar facing can enhance the daily average water temperature of the sunning water pools by 0.1–0.6°C compared to those featuring conventional cement mortar facing. Simulation data reveal that the water temperature in the sunning water pool utilizing RSA cement mortar facing is approximately 0.46°C higher than that observed in its counterpart with standard cement mortar facing. The trends identified through theoretical calculations, experimental data, and simulation results are largely consistent, suggesting that RSA cement mortar facing effectively improves the thermal performance of sunning water pools.These findings provide valuable theoretical support for implementing RSA cement mortar in agricultural facilities.</div></div>","PeriodicalId":100597,"journal":{"name":"Green Energy and Resources","volume":"3 3","pages":"Article 100142"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145094872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-01DOI: 10.1016/j.gerr.2025.100141
Miguel Esteban Pardo Gómez, Evan Park, Ying Zheng , Amarjeet Bassi, Tianlong Liu
Bioelectrochemical systems (BES) offer promising solutions for sustainable energy production and wastewater treatment. However, their complex biological and electrochemical dynamics pose significant challenges for traditional modeling approaches. This review explores the recent advancements in applying artificial intelligence (AI) techniques to enhance the performance and scalability of BES technologies. We detailed the roles of machine learning (ML) algorithms, such as artificial neural networks (ANNs), support vector regression (SVR), and random forest regression (RFR), in predicting critical BES performance metrics. Additionally, we discussed metaheuristic optimization techniques that have improved system design and operational parameters, yielding significant gains in energy recovery and stability. The integration of real-time monitoring and adaptive control systems, powered by AI, is highlighted for its potential to dynamically adjust BES operations in response to fluctuating environmental conditions. Despite these advancements, challenges remain, particularly in data standardization and modeling biological complexity within BES. We outline current limitations and future directions, emphasizing the need for robust datasets, standardized methodologies, and advanced AI frameworks to further unlock the potential of AI-driven BES systems in achieving sustainable bioenergy solutions.
{"title":"Exploring the application of artificial intelligence for bioelectrochemical systems: A review of recent research","authors":"Miguel Esteban Pardo Gómez, Evan Park, Ying Zheng , Amarjeet Bassi, Tianlong Liu","doi":"10.1016/j.gerr.2025.100141","DOIUrl":"10.1016/j.gerr.2025.100141","url":null,"abstract":"<div><div>Bioelectrochemical systems (BES) offer promising solutions for sustainable energy production and wastewater treatment. However, their complex biological and electrochemical dynamics pose significant challenges for traditional modeling approaches. This review explores the recent advancements in applying artificial intelligence (AI) techniques to enhance the performance and scalability of BES technologies. We detailed the roles of machine learning (ML) algorithms, such as artificial neural networks (ANNs), support vector regression (SVR), and random forest regression (RFR), in predicting critical BES performance metrics. Additionally, we discussed metaheuristic optimization techniques that have improved system design and operational parameters, yielding significant gains in energy recovery and stability. The integration of real-time monitoring and adaptive control systems, powered by AI, is highlighted for its potential to dynamically adjust BES operations in response to fluctuating environmental conditions. Despite these advancements, challenges remain, particularly in data standardization and modeling biological complexity within BES. We outline current limitations and future directions, emphasizing the need for robust datasets, standardized methodologies, and advanced AI frameworks to further unlock the potential of AI-driven BES systems in achieving sustainable bioenergy solutions.</div></div>","PeriodicalId":100597,"journal":{"name":"Green Energy and Resources","volume":"3 3","pages":"Article 100141"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-01DOI: 10.1016/j.gerr.2025.100144
Tianlong Liu, Ying Zheng
{"title":"Editorial: AI-driven green revolution","authors":"Tianlong Liu, Ying Zheng","doi":"10.1016/j.gerr.2025.100144","DOIUrl":"10.1016/j.gerr.2025.100144","url":null,"abstract":"","PeriodicalId":100597,"journal":{"name":"Green Energy and Resources","volume":"3 3","pages":"Article 100144"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145094871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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