Sustainable Energy Technologies and Assessments最新文献_第4页

Subcritical water pre-treatment of palm oil waste co-digestion: physicochemical insights, energy recovery, and economic feasibility 亚临界水预处理棕榈油废物共消化：物理化学见解，能量回收和经济可行性

IF 7 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-03-01 Epub Date: 2026-03-04 DOI: 10.1016/j.seta.2026.104914

Adila Fazliyana Aili Hamzah , Muhammad Hazwan Hamzah , Hasfalina Che Man , Khairudin Nurulhuda , Muhammad Heikal Ismail , Pau Loke Show , Abd Halim Md Ali

{"title":"Subcritical water pre-treatment of palm oil waste co-digestion: physicochemical insights, energy recovery, and economic feasibility","authors":"Adila Fazliyana Aili Hamzah , Muhammad Hazwan Hamzah , Hasfalina Che Man , Khairudin Nurulhuda , Muhammad Heikal Ismail , Pau Loke Show , Abd Halim Md Ali","doi":"10.1016/j.seta.2026.104914","DOIUrl":"10.1016/j.seta.2026.104914","url":null,"abstract":"<div><div>The palm oil industry produces large amounts of empty fruit bunches (EFB) and palm oil mill effluent (POME), creating environmental challenges but offering bioenergy potential. This study assessed subcritical water (SCW) pre-treatment of EFB and its co-digestion with POME, focusing on physicochemical changes, biogas yield, energy balance, and economic feasibility. SCW pre-treatment was conducted at 120–180°C for 10 min at 20:1 water:EFB ratio, followed by mesophilic (37°C) co-digestion via the biochemical methane potential (BMP) method at 11 gVS/L with an EFB:POME ratio of 0.6:1. Results showed that SCW altered EFB structure, reduced silica and potassium, and enhanced fermentable compound release. Within the tested range, pre-treatment at 120°C offered the best trade-off between methane yield and net energy recovery (0.38 MJ, 0.10 kWh). Although methane production increased to 329.6 mL CH<sub>4</sub>/gVS at 180°C, higher severities reduced energy efficiency due to excessive heat demand. Economic analysis showed SCW integration is viable, yielding USD 7.07 million/year profit, 13% return, an 8-year payback period, and a net present value of USD 34.27 million. Microbial analysis revealed enrichment of hydrolytic bacteria and acetoclastic methanogens, promoting effective substrate degradation. Overall, SCW pre-treatment enhanced EFB biodegradability, biogas productivity, and economic sustainability of co-digestion with POME.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"87 ","pages":"Article 104914"},"PeriodicalIF":7.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147407462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bioaugmentation effects on the digestion of biowastes for renewable energy: Biogas production, microbial community, and machine learning 生物强化对可再生能源生物废物消化的影响：沼气生产、微生物群落和机器学习

IF 7 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-03-01 Epub Date: 2026-03-14 DOI: 10.1016/j.seta.2026.104925

Gohar Ali , Zhenmin Ling , Muhammad Arif , Nahla S Zidan , Sedky H.A Hassan , Adel I. Alalawy , El-Sayed Salama , Xiangkai Li

{"title":"Bioaugmentation effects on the digestion of biowastes for renewable energy: Biogas production, microbial community, and machine learning","authors":"Gohar Ali , Zhenmin Ling , Muhammad Arif , Nahla S Zidan , Sedky H.A Hassan , Adel I. Alalawy , El-Sayed Salama , Xiangkai Li","doi":"10.1016/j.seta.2026.104925","DOIUrl":"10.1016/j.seta.2026.104925","url":null,"abstract":"<div><div>Bioaugmentation enhances biogas yield by increasing hydrolysis of substrates and utilization of volatile fatty acids (VFAs) during anaerobic digestion (AD). Previous reviews focused on high solid loading rates and ammonia inhibition, lacking a deep discussion on microbial communities and machine learning (ML) applications. This review evaluates the effect of bioaugmentation (bacteria, fungi, and archaea) on the four stages of AD. The efficiency of bacteria (single strain, consortia, or acclimatized/engineered) and fungi (single or mixed) is compared for substrate hydrolysis, biogas production, and microbial communities. Bioaugmentation of acetoclastic, hydrogenotrophic, and syntrophic acetate-oxidizing methanogens is summarized. The ammonia inhibition mechanism and its mitigation through bioaugmentation in AD are evaluated. Integration of bioaugmentation with abiotic factors is also discussed. The efficiency of ML models for predicting and optimizing the operational conditions of AD is analyzed. Bioaugmentation improved hydrolysis during high loading of substrates, biogas yield (46–68%), and microbial communities (>40%). Methanogens enhanced the biogas production by reducing VFAs and ammonia accumulation. Various ML models optimized operational conditions (temperature, VFAs, and loading rate) for predicting biogas production (R<sup>2</sup> = 0.75–0.92). Research is needed for predicting bioaugmentation doses using ML models. The addition of external microbes from natural environments in AD could increase the digestibility of biowastes.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"87 ","pages":"Article 104925"},"PeriodicalIF":7.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147540428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Rectennas in RF energy harvesting: A comparative analysis on design, performance and challenges for low power devices 射频能量收集中的整流天线：低功率器件的设计、性能和挑战的比较分析

IF 7 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-03-01 Epub Date: 2026-03-11 DOI: 10.1016/j.seta.2026.104918

Zaheer Abbas Balouch , Jahariah Sampe , Norbahiah Misran , Huda Abdullah , Zeti Akma Rhazali , Noor Hidayah Mohd Yunus

{"title":"Rectennas in RF energy harvesting: A comparative analysis on design, performance and challenges for low power devices","authors":"Zaheer Abbas Balouch , Jahariah Sampe , Norbahiah Misran , Huda Abdullah , Zeti Akma Rhazali , Noor Hidayah Mohd Yunus","doi":"10.1016/j.seta.2026.104918","DOIUrl":"10.1016/j.seta.2026.104918","url":null,"abstract":"<div><div>Radio-frequency energy harvesting (RFEH) has emerged as a promising technology for powering low-power devices, presenting a potential alternative to conventional batteries in various applications such as wearable electronics, wireless sensor networks, and IoTs. Despite its numerous advantages, the widespread implementation of RFEH remains limited due to persistent design-performance compromises and integration challenges. This review provides a comprehensive analysis of recent developments in RFEH systems, focusing on the comparative analysis of rectenna designs and performance parameters of recently proposed RFEH models. Key aspects include three fundamental components: (i) antenna design variations encompassing configuration, wideband, material, and miniaturization; (ii) impedance matching networks, and (iii) advanced rectifier topologies like voltage doublers to work efficiently in low-power applications. Recent developments in rectenna exhibit significant results by achieving antenna gains reaching 7.31 dBi and power conversion efficiency (PCE) up to 97.18%. This study presents critical insights into designing rectennas for powering low-power devices operating within a 0.5–300 mW range. The study reviews challenges, including inconsistent and low RF power density, conversion efficiency, and integration limitations. This review concludes by highlighting potential research opportunities to improve PCE, expanded operational bandwidth with high-gain, miniaturization, metamaterials, and advanced optimization methodologies to realize next-generation self-sustainable low-power devices.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"87 ","pages":"Article 104918"},"PeriodicalIF":7.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147407950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluation of bio-derived structural blocks for segmented polyurethane phase change materials in thermal energy storage applications 用于分段聚氨酯相变材料的生物衍生结构块在储热应用中的评价

IF 7 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-03-01 Epub Date: 2026-03-09 DOI: 10.1016/j.seta.2026.104923

Aleksandra Ławniczak , Adam Olszewski , Łukasz Piszczyk

{"title":"Evaluation of bio-derived structural blocks for segmented polyurethane phase change materials in thermal energy storage applications","authors":"Aleksandra Ławniczak , Adam Olszewski , Łukasz Piszczyk","doi":"10.1016/j.seta.2026.104923","DOIUrl":"10.1016/j.seta.2026.104923","url":null,"abstract":"<div><div>The growing demand for sustainable energy solutions, driven by increasing electricity costs and greenhouse gas emissions, has intensified interest in new thermal energy storage systems. Phase change materials are promising candidates, yet most existing studies rely on petrochemical sources, with limited exploration of bio-based alternatives. This research focuses on developing polyurethane-based PCMs synthesized via the prepolymer method using petrochemical and bio-based poly(ethylene glycol) with different chain extenders. X-ray diffraction analysis showed that bio-based poly(ethylene glycol) possesses a distinct crystalline structure, exhibiting additional diffraction peaks at 13.50°-14.50° and 39.84°. The bio-derived polyurethane-based phase change materials achieved a latent heat of fusion of 51.4 J/g and a melting temperature of approximately 38°C, values comparable to petrochemical analogues. Furthermore, the materials exhibited high thermal reliability and stability over repeated heating–cooling cycles. Interestingly, repeated cycling promoted molecular rearrangement into a more ordered structure, resulting in up to a 46% increase in melting and crystallization enthalpies. Overall, the study demonstrates that substituting petrochemical poly(ethylene glycol) with bio-based derivatives can yield efficient, stable, and environmentally friendly polyurethane storage, aligning with the principles of green chemistry and the circular economy.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"87 ","pages":"Article 104923"},"PeriodicalIF":7.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147407958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A physics–neural network hybrid framework for accurate modeling of direct expansion refrigeration systems 直接膨胀式制冷系统精确建模的物理-神经网络混合框架

IF 7 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-03-01 Epub Date: 2026-03-07 DOI: 10.1016/j.seta.2026.104917

Yunlei Yao , Yabo Cui , Liu Yang

{"title":"A physics–neural network hybrid framework for accurate modeling of direct expansion refrigeration systems","authors":"Yunlei Yao , Yabo Cui , Liu Yang","doi":"10.1016/j.seta.2026.104917","DOIUrl":"10.1016/j.seta.2026.104917","url":null,"abstract":"<div><div>Accurate modeling of direct expansion (DX) refrigeration systems is critical for optimizing energy efficiency, control performance, and system design. Traditional physics-based models, although grounded in thermodynamics, often fail to capture the nonlinear behaviors of complex components such as the electronic expansion valve (EEV), while purely data-driven models lack interpretability and generalizability. To address these limitations, this study developed a hybrid modeling framework that integrated physics-based formulations with an artificial neural network (ANN). The ANN component modeled the EEV’s nonlinear throttling behavior, whereas the compressor, condenser, and evaporator were represented by validated physical sub-models. The hybrid model was trained and validated using high-resolution experimental data from a variable-speed DX test rig and was further assessed with external datasets for generalization. Results showed that the ANN-based EEV model achieved a mean relative error below 5%, and the integrated hybrid model predicted system cooling capacity and sensible heat ratio with overall errors within ±6%, representing an approximately 50% improvement in accuracy compared with conventional physics-based models. This hybrid framework effectively combines physical interpretability with data-driven flexibility, providing a robust and scalable basis for applications in performance prediction, model predictive control, and intelligent fault diagnosis of refrigeration systems.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"87 ","pages":"Article 104917"},"PeriodicalIF":7.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147407961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Levelized cost pass-through of green hydrogen in the bioethanol fuel value chain in U.S. Midwest 绿色氢在美国中西部生物乙醇燃料价值链中的成本传递

IF 7 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-03-01 Epub Date: 2026-03-13 DOI: 10.1016/j.seta.2026.104911

Karey Maynor , Mariam Arzumanyan , Ning Lin , Vaibhav Bahadur

{"title":"Levelized cost pass-through of green hydrogen in the bioethanol fuel value chain in U.S. Midwest","authors":"Karey Maynor , Mariam Arzumanyan , Ning Lin , Vaibhav Bahadur","doi":"10.1016/j.seta.2026.104911","DOIUrl":"10.1016/j.seta.2026.104911","url":null,"abstract":"<div><div>This study provides an integrated levelized cost pass-through analysis of the green hydrogen–green ammonia–corn–ethanol value chain, combining techno-economic modeling, environmental impact assessment, and federal tax credit incentives (Inflation Reduction Act, 45V and 45Q) into a unified analytical framework within the U.S. Midwest corn and ethanol supply chain. We determine that the levelized cost of green hydrogen ranges from $2.79/kg to $5.39/kg — depending on the availability of a $3/kg 45V tax credit — compared to $1.49–$2.18/kg for conventional hydrogen produced via steam methane reforming. These differences propagate downstream, resulting in green ammonia costs of $0.65/kg with the tax credit and $1.16/kg without, relative to a conventional cost range of $0.39–$0.59/kg. Consequently, corn production costs increase by $0.11 to $0.35 per bushel, which in turn raises the ethanol break-even price by $0.04–$0.12 per gallon. Despite these cost increases, green ammonia offers substantial environmental benefits, achieving up to a 96% reduction in lifecycle <figure><img></figure> emissions compared to conventional ammonia and lowering emissions from corn production and ethanol generation by 33% and 9.1%, respectively. Our in-depth analysis illuminates the complex trade-offs between higher input costs and environmental benefits, providing a robust assessment of the long-term viability of green fertilizer inputs in the agricultural and biofuel sectors.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"87 ","pages":"Article 104911"},"PeriodicalIF":7.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147449488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Vulnerability assessment and resilience engineering of renewable energy IoT grids under malicious attacks 恶意攻击下可再生能源物联网电网脆弱性评估与弹性工程

IF 7 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-03-01 Epub Date: 2026-03-14 DOI: 10.1016/j.seta.2026.104922

Chenchen Song , Jinglei Ou , Chengmeng Zhang , Chunhua Jin

{"title":"Vulnerability assessment and resilience engineering of renewable energy IoT grids under malicious attacks","authors":"Chenchen Song , Jinglei Ou , Chengmeng Zhang , Chunhua Jin","doi":"10.1016/j.seta.2026.104922","DOIUrl":"10.1016/j.seta.2026.104922","url":null,"abstract":"<div><div>Renewable energy-based IoT grids operate as deeply coupled cyber-physical systems, where extensive device interconnection, data-driven control, and renewable generation variability significantly increase exposure to malicious attacks. Such attacks are no longer isolated cyber incidents but increasingly manifest as system-level disturbances capable of propagating across physical, communication, and control layers. This study systematically examines renewable SGs under malicious attack scenarios by integrating vulnerability assessment, resilience engineering, AI techniques, and policy-technology coordination within a unified analytical framework. The results indicate that vulnerability in renewable energy IoT grids is inherently cross-layer and dynamic, requiring closed-loop assessment mechanisms that link attack identification, quantitative risk characterisation, and continuous feedback for resilience enhancement. Resilience is shown to extend beyond post-event recovery to include resistance, adaptability, and learning under persistent threats. Evidence from recent AI-enabled emergency response and intrusion detection systems demonstrates substantial performance gains, including reductions of approximately 78.2% in fault localisation time and up to 96.3% in cascading fault propagation, alongside detection accuracies exceeding 97% with false positive rates below 2% on benchmark datasets. Comparative analysis of policy frameworks in China, the United States, and the European Union further reveals a shared transition toward enforceable cybersecurity governance aligned with technological capabilities. This policy–technology synergy plays a critical role in transforming vulnerability awareness into practical resilience improvements.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"87 ","pages":"Article 104922"},"PeriodicalIF":7.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147540427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hydrogen production technologies: parameterized data and calculation model for location-specific technology selection based on economic and ecological assessment 制氢技术：基于经济与生态评价的区位技术选择参数化数据与计算模型

IF 7 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-03-01 Epub Date: 2026-03-05 DOI: 10.1016/j.seta.2026.104908

Steffen Kiemel , Yuanxin Song , Robert Miehe , Simon Glöser-Chahoud , Alexander Sauer

{"title":"Hydrogen production technologies: parameterized data and calculation model for location-specific technology selection based on economic and ecological assessment","authors":"Steffen Kiemel , Yuanxin Song , Robert Miehe , Simon Glöser-Chahoud , Alexander Sauer","doi":"10.1016/j.seta.2026.104908","DOIUrl":"10.1016/j.seta.2026.104908","url":null,"abstract":"<div><div>There is a lack of profound information concerning the economic and ecological performance of available technology options for hydrogen production, preventing investments in new production facilities. This article provides a database with economic and ecological parameters for nine hydrogen production technologies (alkaline-, proton exchange membrane-, high-temperature electrolysis, steam-, autothermal reforming, coal-, biomass gasification, supercritical water gasification, and dark fermentation) and three carbon capture technologies. Additionally, periphery such as biomass drying and product gas compression is considered. The standardized data is introduced into a parameterized calculation model that allows the assessment of the net present value, greenhouse gas (GHG) emissions over the considered lifetime, and the GHG emissions per kg hydrogen produced for each technology combination. The parameterization enables adopters of the model to consider location-specific circumstances by inserting temporal- and spatial-specific cost- and emission factors. The calculation model is translated into a low-threshold calculation tool provided as <span><span>Supplementary Material</span></span>.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"87 ","pages":"Article 104908"},"PeriodicalIF":7.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147407461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cross-height causal dependence of horizontal wind components in offshore environment: insights from transfer entropy analysis 海上环境中水平风分量的交叉高度因果关系：来自传递熵分析的见解

IF 7 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-03-01 Epub Date: 2026-02-19 DOI: 10.1016/j.seta.2026.104890

H.C. Deng , Z.R. Shu , P.W. Chan , X.H. He

{"title":"Cross-height causal dependence of horizontal wind components in offshore environment: insights from transfer entropy analysis","authors":"H.C. Deng , Z.R. Shu , P.W. Chan , X.H. He","doi":"10.1016/j.seta.2026.104890","DOIUrl":"10.1016/j.seta.2026.104890","url":null,"abstract":"<div><div>Understanding the vertical coupling of horizontal wind components is instrumental for improving the aerodynamic modeling, load prediction, and energy yield assessment of offshore wind farms. However, most existing studies rely on linear and symmetric statistical approaches, while overlook the directional and nonlinear dependencies in wind speeds across various heights. To address this gap, this study introduces a transfer entropy (TE) framework to systematically quantify the cross-height information flow among horizontal wind components within an offshore environment. Using long-term offshore lidar measurements from March 2012 to November 2015, the analysis reveals a distinct directional asymmetry in information transfer, with stronger downward coupling from higher to lower levels, indicating dominant top-down influence within the marine boundary layer. Additionally, the results demonstrate that this coupling effect exhibits clear seasonal variability and is strongly modulated by atmospheric stability. Overall, the present study demonstrates the capability of transfer entropy to capture nonlinear and directional dependencies in offshore wind profiles, thus providing new insights for refining wind resource modeling, turbine control strategies and marine atmospheric modelling.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"87 ","pages":"Article 104890"},"PeriodicalIF":7.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147407487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Harnessing seaweeds for third-generation bioethanol: Opportunities in the Indian context 利用海藻生产第三代生物乙醇：印度的机遇

IF 7 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2026-03-01 Epub Date: 2026-02-20 DOI: 10.1016/j.seta.2026.104881

Ros Kooren , T.G. Sumithra , V.S. Mannur , K.V. Jaseera , K. Sunithakumari , Shamiya Hasan , R. Ratheesh Kumar , S.R. Krupesha Sharma , P. Kaladharan

{"title":"Harnessing seaweeds for third-generation bioethanol: Opportunities in the Indian context","authors":"Ros Kooren , T.G. Sumithra , V.S. Mannur , K.V. Jaseera , K. Sunithakumari , Shamiya Hasan , R. Ratheesh Kumar , S.R. Krupesha Sharma , P. Kaladharan","doi":"10.1016/j.seta.2026.104881","DOIUrl":"10.1016/j.seta.2026.104881","url":null,"abstract":"<div><div>Seaweeds have emerged as a highly promising feedstock for third-generation (3G) bioethanol production, offering several advantages over terrestrial biomass, including lower lignin contents, faster growth rates, and minimal resource requirements. Despite India’s vast 8,000 km coastline, rich seaweed biodiversity, and strong coastal community, its contribution to global seaweed-based bioethanol production remains minimal. This review critically examines the untapped potential of Indian macroalgae for sustainable bioethanol production, highlighting opportunities and challenges. It discusses the current status, diversity and distribution of native seaweed species, their biochemical profiles, and strategies for prioritizing feedstocks. The review examines the advances in 3G bioethanol technologies ranging from seaweed collection, post-harvest processing, pretreatment strategies, fermentation to bioethanol recovery alongside the significance of integrated seaweed biorefineries and role of leading Indian research institutions. Future prospects are analysed, culminating in a proposed strategic roadmap to accelerate India’s transition from research to commercial-scale seaweed bioethanol production. By aligning scientific innovation with policy support and ecosystem-based resource management, India, third largest global energy consumer can position itself as a global leader in sustainable, seaweed-derived bioethanol, contributing to its bioenergy and blue economy ambitions. The manuscript presents the first comprehensive review on the prospects of seaweed-based bioethanol in India.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"87 ","pages":"Article 104881"},"PeriodicalIF":7.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147407489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0