Greenhouse Gases: Science and Technology最新文献

{"title":"Diatomite as a Partial and Sustainable Cement Replacement: Chemical, Mechanical, and Thermal Properties","authors":"Younes El Miski,&nbsp;Oussama Zine,&nbsp;Mohamed Ameur,&nbsp;Yassine Kharbouch,&nbsp;Driss Taoukil","doi":"10.1002/ghg.2352","DOIUrl":"https://doi.org/10.1002/ghg.2352","url":null,"abstract":"<div>\u0000 \u0000 <p>This study investigated the use of Moroccan diatomite in its raw and calcined forms in mortar as a partial replacement for cement to reduce the primary energy consumption in cement production. For this purpose, a thermophysical and mechanical study was carried out. In addition, the energy consumption and global warming potential (GWP) associated with the production of these materials were assessed using a cradle-to-gate life cycle assessment analysis. Several samples were prepared by replacing up to 40% of the cement with diatomite, while maintaining the same sand and water content in the mortar. The study found that diatomite reduced thermal conductivity and diffusivity owing to its high insulating potential. However, calcining diatomite up to 850°C altered the quality of the produced silica, resulting in lower values compared with raw diatomite mortars. The mortars’ compressive and flexural strengths slightly decreased when diatomite was used as a substitute, with reductions of up to 10%. Calcined diatomite mortars demonstrated a higher water absorption capacity than raw diatomite mortars. The study concluded that mortars in which 40% of the cement has been partially replaced by either raw diatomite or calcined diatomite offer the most satisfactory thermal performance, while retaining sufficient mechanical strength to enable them to be classified as construction mortars. Calcined diatomite mortars offer favorable performance compared to raw diatomite, suggesting the potential of calcined diatomite to reduce the environmental impact and improve mortar quality, opening prospects for environment-friendly mortars and cost optimization.</p>\u0000 </div>","PeriodicalId":12796,"journal":{"name":"Greenhouse Gases: Science and Technology","volume":"15 3","pages":"394-408"},"PeriodicalIF":2.7,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144315263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}

{"title":"Thermodynamic Modeling of Aqueous Amine-Electrolyte Solvents for CO2 Absorption","authors":"Jun Hui Law,&nbsp;Aisyah Ilyani Ismail,&nbsp;Graham Leverick,&nbsp;Elizabeth M. Bernhardt,&nbsp;Azlan Mohd. Kassim,&nbsp;Farihahusnah Hussin,&nbsp;Betar M. Gallant,&nbsp;Mohamed Kheireddine Aroua","doi":"10.1002/ghg.2351","DOIUrl":"https://doi.org/10.1002/ghg.2351","url":null,"abstract":"<p>The coupling process of carbon capture and utilization technology (CCU) that is gaining a lot of interest is called integrated CO₂ capture–conversion (ICCC) where it is a part of the technological advancement aligning to one of the Sustainable Development Goals (SDGs) domains, which is SDG 13 (climate action). It electrochemically transforms CO₂ extracted from the post-combustion emissions into valuable products using amine-electrolyte solution, eliminating the need for an energy-intensive sorbent regeneration step. Extensive work on the chemical equilibria of the solvent combination is crucial to reveal the effect of salt addition towards the absorption mechanism. In this work, the chemical equilibria of the amine-electrolyte solvent systems are modeled using the Deshmukh–Mather model. The binary interaction parameters used in the modeling are fitted using experimental data, and the fitted model showed the average absolute deviation less than 10% for all the amine-electrolyte solvent systems, which showed better results than the extended Debye–Hückel model. The modeled speciation was compared using the protonated amine, bicarbonate, and carbamate concentration as a function of the solution pH. The concentration of carbamate showed a peak at a pH approximately equal to the protonation constant of the amines. The carbamate produced in the potassium chloride-containing solutions was approximately following the stoichiometry of the reaction. Moreover, potassium bicarbonate can be treated as the reactive electrolyte for higher production of carbamate during the absorption process. Overall, this article emphasizes the speciation modeling that can be used as the foundation for other possible blends of absorbents. © 2025 Society of Chemical Industry and John Wiley &amp; Sons, Ltd.</p>","PeriodicalId":12796,"journal":{"name":"Greenhouse Gases: Science and Technology","volume":"15 3","pages":"381-393"},"PeriodicalIF":2.7,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ghg.2351","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144315440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine Learning–Based Estimation of Hydrogen Solubility in Brine for Underground Storage in Saline Aquifers","authors":"Fahd Mohamad Alqahtani,&nbsp;Menad Nait Amar,&nbsp;Hakim Djema,&nbsp;Khaled Ourabah,&nbsp;Amer Alanazi,&nbsp;Mohammad Ghasemi","doi":"10.1002/ghg.2353","DOIUrl":"https://doi.org/10.1002/ghg.2353","url":null,"abstract":"<div>\u0000 \u0000 <p>Saline aquifers are considered among the most attractive porous media systems for underground hydrogen storage (UHS) because of their wide availability and the considerable capacity of storage. The successful implementation of UHS in saline aquifers depends on many vital factors and parameters. Among these factors, the solubility of hydrogen (H₂) in brine remains a relevant consideration, particularly due to its influence on potential bio-geochemical reactions that may occur within underground formations. Given the significant expense and time demands associated with experimental methods for determining hydrogen solubility in brine, there is a growing need for a reliable and low-cost alternative capable of delivering accurate predictions. In this research, a suite of robust machine learning (ML) schemes, including multilayer perceptron (MLP), genetic programming (GP), and the group method of data handling (GMDH), is employed to construct predictive models for hydrogen solubility in brine, specifically under challenging high-pressure and high-temperature scenarios. The obtained results demonstrated the promising performance of the newly suggested ML-based paradigms. MLP optimized with Levenberg–Marquardt (MLP-LMA) yielded the best statistical metrics, including an <i>R</i>² of 0.9991 and an average absolute relative error (AARE) of 0.9417%. The findings of this study are important because they demonstrate that ML-based approaches embodied in intelligent paradigms are accurate and efficient and therefore have potential for use in reservoir simulators to assess dissolution processes associated with UHS in porous media.</p>\u0000 </div>","PeriodicalId":12796,"journal":{"name":"Greenhouse Gases: Science and Technology","volume":"15 3","pages":"409-420"},"PeriodicalIF":2.7,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144315403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}

{"title":"Influences of Diamine Molecular Structures on the Phase-Change CO2 Capture From Flue Gas","authors":"Ziyong Li,&nbsp;Qingdan Huang,&nbsp;Tingyan Wang,&nbsp;Huihong Huang,&nbsp;Haoyong Song","doi":"10.1002/ghg.2347","DOIUrl":"https://doi.org/10.1002/ghg.2347","url":null,"abstract":"<div>\u0000 \u0000 <p>The amino groups and its substituents of organic amine absorbents have an important influence on the CO₂ absorption and desorption performance. In this study, four diamines with the same primary amino group and another different amino groups were selected as absorbents, including 1,3-propanediamine (1,3-PDA), 3-methylaminopropylamine (MAPA), 3-dimethylaminopropylamine (DMAPA), and 3-diethylaminopropylamine (DEAPA). The phase-change absorption system uses a mixture of polyether and H₂O as the solvent. The CO₂ absorption performance of flue gas was studied with the analysis on absorption and desorption rate, cycle capacity, and desorption ratio. The effect of diamine molecular structures on phase-change CO₂ capture was investigated by nuclear magnetic carbon spectroscopy. The results show that DEAPA exhibits highest absorption capacity of 1.21 mol CO₂/mol amine and recycling capacity of 1.09 mol CO₂/mol amine. The absorption rate of primary and secondary diamines in the phase-change system is significantly higher than that of primary and tertiary diamines. The diamine system with tertiary amino groups has significantly faster desorption rate, higher desorption ratio, and cycle capacity than the primary and secondary diamine systems. The intramolecular tertiary amino group is more conducive to promoting the absorption of CO₂ than the intermolecular tertiary amino group, which can increase the absorption rate of CO₂ by the primary amino group and enhance the CO₂ desorption.</p>\u0000 </div>","PeriodicalId":12796,"journal":{"name":"Greenhouse Gases: Science and Technology","volume":"15 3","pages":"346-356"},"PeriodicalIF":2.7,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144315271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}

{"title":"Reduction of Pollutant Emissions in Diesel Engines Through Metal-Based Fuel Additives and Aftertreatment Emission Control Technologies","authors":"Ibrahim Aslan Resitoglu,&nbsp;Banu Sugozu,&nbsp;Muhammed Arslan Omar","doi":"10.1002/ghg.2346","DOIUrl":"https://doi.org/10.1002/ghg.2346","url":null,"abstract":"<div>\u0000 \u0000 <p>Pollutant emissions such as carbon monoxide (CO), hydrocarbons (HCs), nitrogen oxides (NO_x), and particulate matter (PM) from diesel engines have serious adverse effects on both human health and the environment. Advanced post-engine emission control systems, such as the diesel oxidation catalyst (DOC) and selective catalytic reduction (SCR), have proven effective in substantially reducing or minimizing emissions of CO, HC, and NO_x. Additionally, the use of metal-based fuel additives in diesel fuel has been widely studied and applied in practice to improve engine performance and optimize emission outcomes. The interaction between metal-based fuel additives and the performance of DOC and SCR systems has become a key area of research focus. This study investigates the impact of metal-based fuel additives—including cerium (IV) oxide, copper (II) oxide, magnesium oxide, nickel (II) oxide, and titanium (IV) oxide—on the performance of DOC and SCR catalysts under various engine load conditions. In the experiments, conventional DOC and SCR catalysts were used, specifically Pt/Al₂O₃ for the DOC and V₂O₅-WO₃/TiO₂ versus Ag/Al₂O₃ for the SCR. The variations in CO, NO, and NO_x levels in the exhaust gas were monitored, and the efficiency of the catalysts in converting these emissions was calculated and analyzed. The results indicate that the combination of metal-based fuel additives with post-engine emission control technologies can effectively reduce pollutant emissions from diesel engines. Among the metal-based additives tested, cerium (IV) oxide and nickel (II) oxide were found to be particularly effective in enhancing the conversion efficiencies of DOC and SCR systems.</p>\u0000 </div>","PeriodicalId":12796,"journal":{"name":"Greenhouse Gases: Science and Technology","volume":"15 3","pages":"371-380"},"PeriodicalIF":2.7,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144315394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}

{"title":"Effect of \u0000 \u0000 \u0000 CO\u0000 2\u0000 \u0000 ${rm CO}_2$\u0000 -Enhanced Oil Recovery on Wave Velocities in Upper Assam Basin","authors":"Subrata Borgohain Gogoi,&nbsp;Pranab Boral,&nbsp;Borkha Mech,&nbsp;Xianfeng Fan,&nbsp;Pradip Borgohain,&nbsp;Deepjyoti Mech","doi":"10.1002/ghg.2343","DOIUrl":"https://doi.org/10.1002/ghg.2343","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 &lt;p&gt;This study examines the impact of &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;msub&gt;\u0000 &lt;mi&gt;CO&lt;/mi&gt;\u0000 &lt;mn&gt;2&lt;/mn&gt;\u0000 &lt;/msub&gt;\u0000 &lt;annotation&gt;${rm CO}_2$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; flooding on &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;msub&gt;\u0000 &lt;mi&gt;V&lt;/mi&gt;\u0000 &lt;mi&gt;p&lt;/mi&gt;\u0000 &lt;/msub&gt;\u0000 &lt;annotation&gt;${V}_p$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; and &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;msub&gt;\u0000 &lt;mi&gt;V&lt;/mi&gt;\u0000 &lt;mi&gt;s&lt;/mi&gt;\u0000 &lt;/msub&gt;\u0000 &lt;annotation&gt;${V}_s$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; wave velocities in the Upper Assam Basin. Laboratory experiments were conducted on 15 consolidated sandstone cores from the Naharkatiya and Rudrasagar reservoirs (&lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mo&gt;&gt;&lt;/mo&gt;\u0000 &lt;mn&gt;3000&lt;/mn&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;$&gt;3000$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; m depth) and one unconsolidated sand pack (lightweight proppant, Houston, USA). Samples, with porosities ranging from 8.03% to 47.00%, were saturated with &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msub&gt;\u0000 &lt;mrow&gt;\u0000 &lt;mi&gt;n&lt;/mi&gt;\u0000 &lt;mi&gt;-&lt;/mi&gt;\u0000 &lt;mi&gt;C&lt;/mi&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;mn&gt;16&lt;/mn&gt;\u0000 &lt;/msub&gt;\u0000 &lt;msub&gt;\u0000 &lt;mi&gt;H&lt;/mi&gt;\u0000 &lt;mn&gt;34&lt;/mn&gt;\u0000 &lt;/msub&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt;${n{text{-}}{rm C}}_{16}{rm H}_{34}$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; before &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;msub&gt;\u0000 &lt;mi&gt;CO&lt;/mi&gt;\u0000 &lt;mn&gt;2&lt;/mn&gt;\u0000 &lt;/msub&gt;\u0000 &lt;annotation&gt;${rm CO}_2$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; injection.&lt;/p&gt;\u0000 &lt;p&gt;Results indicate &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;msub&gt;\u0000 &lt;mi&gt;CO&lt;/mi&gt;\u0000 &lt;mn&gt;2&lt;/mn&gt;\u0000 &lt;/msub&gt;\u0000 &lt;annotation&gt;${rm CO}_2$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; flooding reduces &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;msub&gt;\u0000 &lt;mi&gt;V&lt;/mi&gt;\u0000 &lt;mi&gt;p&lt;/mi&gt;\u0000 &lt;/msub&gt;\u0000 &lt;annotation&gt;${V}_p$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; (compressional velocity, m/s) by 4–11% in consolidated samples and over 25% in the unconsolidated pack, with less pronounced but significant reductions in &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;msub&gt;\u0000 &lt;mi&gt;V&lt;/mi&gt;\u0000 &lt;mi&gt;s&lt;/mi&gt;\u0000 &lt;/msub&gt;\u0000 &lt;annotation&gt;${V}_s$&lt;/annotation&gt;\u0000 &lt;","PeriodicalId":12796,"journal":{"name":"Greenhouse Gases: Science and Technology","volume":"15 3","pages":"357-370"},"PeriodicalIF":2.7,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144315417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}

{"title":"Cover Image, Volume 15, Issue 2","authors":"","doi":"10.1002/ghg.2342","DOIUrl":"https://doi.org/10.1002/ghg.2342","url":null,"abstract":"<p>The cover image is based on the article <i>The Prediction of CO₂ Plume Using Neural Network Based On the Swin Transformer</i> by Yikang Zheng et al., https://doi.org/10.1002/ghg.2333.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":12796,"journal":{"name":"Greenhouse Gases: Science and Technology","volume":"15 2","pages":"i"},"PeriodicalIF":2.7,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ghg.2342","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143822116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrated Carbon Capture and Storage Strategies in Hard-to-Abate Industries for Achieving Vietnam's Net Zero by 2050","authors":"Hai T. Nguyen","doi":"10.1002/ghg.2341","DOIUrl":"https://doi.org/10.1002/ghg.2341","url":null,"abstract":"<div>\u0000 \u0000 <p>This study evaluates the potential of carbon capture and storage (CCS) as a key strategy for reducing industrial emissions, focusing on integrating CCS within these industries to help Vietnam meet its decarbonization goals. Key objectives include assessing the feasibility of CCS across various sectors, mapping CO₂ source–sink networks, and proposing the creation of CCS hubs supported by Vietnam's geological storage resources. Notably, this research explores the integration of blue hydrogen production within CCS infrastructure, leveraging Vietnam's natural gas reserves to establish a low-carbon hydrogen economy. By drawing on international CCS case studies and assessing Vietnam's unique geological and industrial landscape, this study provides a strategic framework that can guide Vietnam's path toward a sustainable, net zero future. © 2025 Society of Chemical Industry and John Wiley &amp; Sons, Ltd.</p>\u0000 </div>","PeriodicalId":12796,"journal":{"name":"Greenhouse Gases: Science and Technology","volume":"15 3","pages":"333-345"},"PeriodicalIF":2.7,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144315251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}

{"title":"From Site Selection to Characterization: Assessment of Potential Reservoirs in the Lurestan Basin of Iran for Carbon Sequestration","authors":"Pegah Dinani,&nbsp;Sabina Bigi,&nbsp;Stan E. Beaubien,&nbsp;Alessia Conti,&nbsp;Seyed Ali Moallemi,&nbsp;Fabio Trippetta,&nbsp;Behzad Tokhmechi","doi":"10.1002/ghg.2339","DOIUrl":"https://doi.org/10.1002/ghg.2339","url":null,"abstract":"<p>The increasing global focus on carbon sequestration underscores the need for comprehensive CO₂ storage atlases, extending beyond Europe and America to other countries that are significant contributors to carbon dioxide emissions. This article addresses this imperative by examining the CO₂ storage potential in the Lurestan area of Iran, with a specific focus on static reservoir modelling and capacity calculation. Our approach involves evaluating potential reservoirs for carbon sequestration using seismic data and well logs followed by site ranking using the Analytic Hierarchy Process (AHP) technique. An in-depth evaluation was then performed on the highest ranking available reservoir. This included construction of a 3D geological model based on integrated well log and seismic data followed by population of the defined reservoir and seal layers with crucial properties based on available well logs. Finally, reservoir storage capacity was estimated using a volumetric approach.</p>","PeriodicalId":12796,"journal":{"name":"Greenhouse Gases: Science and Technology","volume":"15 3","pages":"319-332"},"PeriodicalIF":2.7,"publicationDate":"2025-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ghg.2339","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cementless Aggregate From Industrial Solid Wastes: Optimization Preparation and Environmental Impact Assessment","authors":"Xiangbo Zou,&nbsp;Kai Xiong,&nbsp;Wei Zhao,&nbsp;Yafang Li,&nbsp;Dequn Ma,&nbsp;Chuangting Chen,&nbsp;Zhenwei Yi,&nbsp;Tao Wang","doi":"10.1002/ghg.2336","DOIUrl":"https://doi.org/10.1002/ghg.2336","url":null,"abstract":"<div>\u0000 \u0000 <p>To address the issues of high density and low strength in traditional non-fired lightweight aggregates, using CO₂ mineralization curing can effectively enhance product performance and synergistically utilize industrial solid waste and CO₂. CO₂ mineralization curing significantly improves the cylindrical compressive strength of lightweight aggregates (6.8 MPa), reduces the water absorption rate (6.83%), and achieves a suitable bulk density (896 kg/m³). By analyzing the carbonation rate of different particle sizes through gas–solid reaction kinetics, it was found that the rate curve of mineralization curing for lightweight aggregate samples better fits the three-dimensional diffusion model, with smaller particles exhibiting a higher carbonation rate. Microscopic characterization analysis revealed that the primary mineralization product is calcium carbonate, which is present in the form of calcite. Higher curing temperatures and prolonged durations may result in decalcification within the lightweight aggregates. Moreover, the calcium carbonate particles produced during the carbonation process can cause expansion of the internal structure of the lightweight aggregates, leading to a decline in the mechanical properties of the product. The life cycle carbon emissions for each ton of steam-cured lightweight aggregate are 105.821 kg, whereas the life cycle carbon emissions for CO₂ mineralized lightweight aggregates are only −1.879 kg, making this method beneficial for clean production and solving significant problems in actual production. © 2025 Society of Chemical Industry and John Wiley &amp; Sons, Ltd.</p>\u0000 </div>","PeriodicalId":12796,"journal":{"name":"Greenhouse Gases: Science and Technology","volume":"15 3","pages":"305-318"},"PeriodicalIF":2.7,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144315337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}