{"title":"Polyacrylamide based hydrogel with high temperature and salinity tolerance: the role of aminated distilled spent grain","authors":"Xue-Li Long, Kang-Lin Chen, Hong-Ke Yang, Hong-Li Dong, Hong-Kui He, Li-Chun Dai, Zu-Guo Yang, Zhi-Xiang Xu","doi":"10.1016/j.biombioe.2026.109060","DOIUrl":"https://doi.org/10.1016/j.biombioe.2026.109060","url":null,"abstract":"","PeriodicalId":253,"journal":{"name":"Biomass & Bioenergy","volume":"8 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-02DOI: 10.1016/j.biombioe.2026.109055
Jiaqi Jiao, Guosheng Li, Baoxin Niu, Lingyu Tai, Sunu Herwi Pranolo, Paolo De Filippis, Benedetta De Caprariis, Yang Zhang, Jingang Yao
This study proposes an integrated solar-driven corn-stalk gasification system for green methanol (MeOH) production and conducts a comprehensive 4-E analysis (energy, exergy, economic and environmental) using Aspen Plus. Concentrated solar heat with molten-salt thermal energy storage (TES) is used to meet the high-temperature demand of gasification, while alkaline water electrolysis supplies renewable hydrogen (H2) for MeOH synthesis, thereby forming a near-closed carbon cycle. Using Zibo, Shandong Province as the evaluation site, key parameters were set, including a gasification temperature of 900 °C and a steam-to-biomass ratio (S/B) of 0.4. Simulation results indicate that the total energy input of the system is 10504.32 kW. The mechanical energy output reaches 6512.67 kW, resulting in solar energy and exergy efficiencies of 55.7% and 53.2%, respectively. Techno-economic analysis (TEA) shows that, for an annual MeOH production of 4000 tons, the total system investment is estimated at 14.86 million euros. The levelized cost of MeOH (LCoM) is calculated at 960 €/t. Environmental assessment reveals a CO2 emission intensity of just 0.114 t/GJ, which is 22.1%–65.2% lower than conventional fossil fuel-based MeOH production pathways. Overall, the study demonstrates techno-economic feasibility for solar-integrated biomass gasification for green MeOH, enabling deep decarbonization in maritime transport.
{"title":"Techno-economic analysis, energy, exergy and environmental assessment of green methanol production via solar-driven gasification of corn stalk using Aspen Plus simulation","authors":"Jiaqi Jiao, Guosheng Li, Baoxin Niu, Lingyu Tai, Sunu Herwi Pranolo, Paolo De Filippis, Benedetta De Caprariis, Yang Zhang, Jingang Yao","doi":"10.1016/j.biombioe.2026.109055","DOIUrl":"https://doi.org/10.1016/j.biombioe.2026.109055","url":null,"abstract":"This study proposes an integrated solar-driven corn-stalk gasification system for green methanol (MeOH) production and conducts a comprehensive 4-E analysis (energy, exergy, economic and environmental) using Aspen Plus. Concentrated solar heat with molten-salt thermal energy storage (TES) is used to meet the high-temperature demand of gasification, while alkaline water electrolysis supplies renewable hydrogen (H<ce:inf loc=\"post\">2</ce:inf>) for MeOH synthesis, thereby forming a near-closed carbon cycle. Using Zibo, Shandong Province as the evaluation site, key parameters were set, including a gasification temperature of 900 °C and a steam-to-biomass ratio (S/B) of 0.4. Simulation results indicate that the total energy input of the system is 10504.32 kW. The mechanical energy output reaches 6512.67 kW, resulting in solar energy and exergy efficiencies of 55.7% and 53.2%, respectively. Techno-economic analysis (TEA) shows that, for an annual MeOH production of 4000 tons, the total system investment is estimated at 14.86 million euros. The levelized cost of MeOH (LCoM) is calculated at 960 €/t. Environmental assessment reveals a CO<ce:inf loc=\"post\">2</ce:inf> emission intensity of just 0.114 t/GJ, which is 22.1%–65.2% lower than conventional fossil fuel-based MeOH production pathways. Overall, the study demonstrates techno-economic feasibility for solar-integrated biomass gasification for green MeOH, enabling deep decarbonization in maritime transport.","PeriodicalId":253,"journal":{"name":"Biomass & Bioenergy","volume":"80 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146098295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The global push for decarbonization has intensified interest in renewable raw materials capable of replacing fossil hydrocarbons, particularly those derived from lignocellulosic waste. This study quantifies the life cycle greenhouse gas (GHG) emissions of a biopolyol produced at laboratory scale from cassava peel and crude glycerol via thermochemical liquefaction, assessing its potential contribution to a low-carbon bioeconomy. A cradle-to-gate carbon footprint analysis was performed using the GHG Protocol. Emissions ranged from 21.9 to 24.2 kg CO2-eq per kilogram of biopolyol, with electricity consumption dominating the impact across conditions (>98% of total GWP). Minor contributions arose from ethanol use, catalyst production, and waste disposal. These results underscore both the environmental relevance of valorizing lignocellulosic residues as renewable substitutes for petrochemical polyols and the need for improved energy efficiency and renewable electricity integration to enhance the climate performance of this production route.
{"title":"Greenhouse gas emissions assessment in the life cycle of biopolyol production","authors":"Nicole Silva Gomes, Lorena Dalva Lima, Sibele Augusta Ferreira Leite, Brenno Santos Leite","doi":"10.1016/j.biombioe.2026.109044","DOIUrl":"https://doi.org/10.1016/j.biombioe.2026.109044","url":null,"abstract":"The global push for decarbonization has intensified interest in renewable raw materials capable of replacing fossil hydrocarbons, particularly those derived from lignocellulosic waste. This study quantifies the life cycle greenhouse gas (GHG) emissions of a biopolyol produced at laboratory scale from cassava peel and crude glycerol via thermochemical liquefaction, assessing its potential contribution to a low-carbon bioeconomy. A cradle-to-gate carbon footprint analysis was performed using the GHG Protocol. Emissions ranged from 21.9 to 24.2 kg CO<ce:inf loc=\"post\">2</ce:inf>-eq per kilogram of biopolyol, with electricity consumption dominating the impact across conditions (>98% of total GWP). Minor contributions arose from ethanol use, catalyst production, and waste disposal. These results underscore both the environmental relevance of valorizing lignocellulosic residues as renewable substitutes for petrochemical polyols and the need for improved energy efficiency and renewable electricity integration to enhance the climate performance of this production route.","PeriodicalId":253,"journal":{"name":"Biomass & Bioenergy","volume":"15 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146098296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-02DOI: 10.1016/j.biombioe.2026.109043
Fazal Um Min Allah, Rodrigo Nogueira De Sousa, Elena Trim, Adriano da Silva Marques, Monica Carvalho
{"title":"Techno-economic assessment of bioenergy with carbon capture and storage for Brazilian thermoelectric power plants","authors":"Fazal Um Min Allah, Rodrigo Nogueira De Sousa, Elena Trim, Adriano da Silva Marques, Monica Carvalho","doi":"10.1016/j.biombioe.2026.109043","DOIUrl":"https://doi.org/10.1016/j.biombioe.2026.109043","url":null,"abstract":"","PeriodicalId":253,"journal":{"name":"Biomass & Bioenergy","volume":"18 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comprehensive experimental analysis of pyrolytic gas composition from various lignocellulosic biomass","authors":"Silvia Pena Meneses, Jean-François Largeau, Khaled Loubar, François Ricoul, Jérôme Bellettre","doi":"10.1016/j.biombioe.2026.109038","DOIUrl":"https://doi.org/10.1016/j.biombioe.2026.109038","url":null,"abstract":"","PeriodicalId":253,"journal":{"name":"Biomass & Bioenergy","volume":"176 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-02DOI: 10.1016/j.biombioe.2026.109039
Elianny Da Silva, Juan A. Cecilia, Benjamin Torres-Olea, Mahesh Eledath-Changarath, Marie Krečmarová, Juan F. Sánchez-Royo, Rita Sánchez-Tovar, Adrian García, Benjamin Solsona
{"title":"Valorization of biomass-derived compounds using residual sludge from water treatment as a catalytic support","authors":"Elianny Da Silva, Juan A. Cecilia, Benjamin Torres-Olea, Mahesh Eledath-Changarath, Marie Krečmarová, Juan F. Sánchez-Royo, Rita Sánchez-Tovar, Adrian García, Benjamin Solsona","doi":"10.1016/j.biombioe.2026.109039","DOIUrl":"https://doi.org/10.1016/j.biombioe.2026.109039","url":null,"abstract":"","PeriodicalId":253,"journal":{"name":"Biomass & Bioenergy","volume":"89 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-02DOI: 10.1016/j.biombioe.2026.109025
Bisheswar Karmakar, Rishya Prava Chatterjee, Rhithuparna D., Sankha Chakrabortty, Rashid Imran Ahmad Khan, Gopinath Halder
Catalysed biodiesel synthesis requires an extended duration and produces large amounts of wastewater while incurring significant catalyst costs. In contrast, the uncatalysed conversion of suitable feedstock using superheated alcohols can provide sufficient energy, which means activation energy no longer affects reactivity. This eliminates catalyst requirement in addition to drastically reducing reaction time, as well as simplifying product separation and recovery of alcohols or by-products. The current study reports on uncatalysed alcoholysis of a binary blend made from mahua oil (MI) and waste cooking oil (WCO) to synthesize biodiesel using superheated blends of methanol and 2-propanol. Batch experiments identified ranges for six parameters suitable for soft-computational optimization and these parameters were then optimized via central composite design (CCD). A biodiesel yield of 98.9 % (predicted yield of 99.03 %) could be attained by reacting 600 g of WCO-MI oil blend in a 3:1 ratio using methanol and 2-propanol in a 6:5 ratio after preheating the alcohol mixture to 135 °C. The reaction proceeded optimally at 250 °C, taking 8 min retention time to be completed. Experimental results were analysed for reliability using ANOVA study, and data validation was carried out using artificial neural network (ANN). From ANOVA studies, it is seen that retention time has the most prominent impact on the process with a contribution factor of 48.82 %, while methanol to 2-propanol ratio has the lowest contribution factor of 0.25 %. The ANN model established adopting a 6-10-1 algorithm showed an R2 value of 0.987, thereby reaching great accuracy which confirms its competence for reliable predictions.
催化合成生物柴油需要较长的时间，产生大量的废水，同时产生大量的催化剂成本。相反，使用过热的醇对合适的原料进行无催化转化可以提供足够的能量，这意味着活化能不再影响反应性。这消除了催化剂的需求，除了大大减少反应时间，以及简化产品分离和回收的醇或副产物。本研究报道了用甲醇和2-丙醇的过热混合物对麻花油（MI）和废食用油（WCO）二元混合物进行无催化醇解合成生物柴油。批量实验确定了适合软计算优化的6个参数范围，并通过中心复合设计（CCD）对这些参数进行优化。将600 g WCO-MI油以3:1的比例与甲醇和2-丙醇以6:5的比例反应，将酒精混合物预热至135℃，可获得98.9%的生物柴油产率（预测产率为99.03%）。反应在250°C下进行最佳，保留时间为8 min。采用方差分析对实验结果进行信度分析，并采用人工神经网络（ANN）对数据进行验证。由方差分析可知，保留时间对工艺的影响最为突出，贡献因子为48.82%，而甲醇与2-丙醇比的贡献因子最低，为0.25%。采用6-10-1算法建立的人工神经网络模型的R2值为0.987，具有较高的准确率，证实了其可靠预测的能力。
{"title":"Superheated non-catalytic transesterification of binary mixture of Madhuca indica and waste cooking oil towards biodiesel synthesis","authors":"Bisheswar Karmakar, Rishya Prava Chatterjee, Rhithuparna D., Sankha Chakrabortty, Rashid Imran Ahmad Khan, Gopinath Halder","doi":"10.1016/j.biombioe.2026.109025","DOIUrl":"https://doi.org/10.1016/j.biombioe.2026.109025","url":null,"abstract":"Catalysed biodiesel synthesis requires an extended duration and produces large amounts of wastewater while incurring significant catalyst costs. In contrast, the uncatalysed conversion of suitable feedstock using superheated alcohols can provide sufficient energy, which means activation energy no longer affects reactivity. This eliminates catalyst requirement in addition to drastically reducing reaction time, as well as simplifying product separation and recovery of alcohols or by-products. The current study reports on uncatalysed alcoholysis of a binary blend made from mahua oil (MI) and waste cooking oil (WCO) to synthesize biodiesel using superheated blends of methanol and 2-propanol. Batch experiments identified ranges for six parameters suitable for soft-computational optimization and these parameters were then optimized via central composite design (CCD). A biodiesel yield of 98.9 % (predicted yield of 99.03 %) could be attained by reacting 600 g of WCO-MI oil blend in a 3:1 ratio using methanol and 2-propanol in a 6:5 ratio after preheating the alcohol mixture to 135 °C. The reaction proceeded optimally at 250 °C, taking 8 min retention time to be completed. Experimental results were analysed for reliability using ANOVA study, and data validation was carried out using artificial neural network (ANN). From ANOVA studies, it is seen that retention time has the most prominent impact on the process with a contribution factor of 48.82 %, while methanol to 2-propanol ratio has the lowest contribution factor of 0.25 %. The ANN model established adopting a 6-10-1 algorithm showed an R<ce:sup loc=\"post\">2</ce:sup> value of 0.987, thereby reaching great accuracy which confirms its competence for reliable predictions.","PeriodicalId":253,"journal":{"name":"Biomass & Bioenergy","volume":"74 1","pages":""},"PeriodicalIF":6.0,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146098297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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