Energy Conversion and Management最新文献

{"title":"A probabilistic alert system for extreme wind events prediction using quantile regression ensembles","authors":"César Peláez-Rodríguez ,&nbsp;Jorge Pérez-Aracil ,&nbsp;Carlos Cruz de la Torre ,&nbsp;Laura Cornejo-Bueno ,&nbsp;Luis Prieto-Godino ,&nbsp;Enrique Alexandre-Cortizo ,&nbsp;Sancho Salcedo-Sanz","doi":"10.1016/j.enconman.2025.120545","DOIUrl":"10.1016/j.enconman.2025.120545","url":null,"abstract":"<div><div>Anticipating and mitigating the impact of extreme wind events is increasingly critical as wind power becomes a central component of modern energy systems. However, existing predictive approaches often struggle to capture the uncertainty and variability inherent in wind data, limiting their effectiveness in risk management. This research aims to develop a probabilistic alert system to predict the occurrence of such extreme events effectively. To achieve this, a novel framework is proposed, combining quantile regression and kernel density estimation, to construct a robust predictive ensemble system. By integrating individual quantile regression predictions across multiple quantiles, the proposed framework captures the inherent variability and uncertainty of wind data. Additionally, the ensemble model’s probabilistic outputs are calibrated using isotonic regression, yielding refined distributions that closely align with observed extreme event occurrence rates. The framework was validated using real-world data from a wind farm in Spain, showing substantial improvements over conventional probabilistic binary classifiers in both accuracy and calibration of extreme event probabilities. These findings highlight the potential of the proposed system to enhance operational decision-making and resilience in wind power infrastructure under extreme weather conditions.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"347 ","pages":"Article 120545"},"PeriodicalIF":10.9,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145218021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and analysis of electrified combined reforming of methane and CO2 based on induction and resistance heating","authors":"Khadijeh Barati,&nbsp;Yaser Khojasteh-Salkuyeh","doi":"10.1016/j.enconman.2025.120585","DOIUrl":"10.1016/j.enconman.2025.120585","url":null,"abstract":"<div><div>This article provides a comprehensive computational study of electrified combined reforming of methane (E-CRM) using induction and resistance heating methods. Three reactor models were compared: induction by a stainless-steel wall, induction by a stainless-steel rod inside the reactor, and resistance using an internal electric wire. CFD models are implemented using COMSOL Multiphysics, incorporating fluid flow, heat and mass transport, reaction kinetics, electromagnetic fields, and electric current physics. Our results showed that wall-based induction is the most efficient configuration compared to the other ones, with 94 % methane conversion at the minimum power requirement of 26.47 kWh/kg CH₄ converted and maximum heating efficiency of 30.6 %. Moreover, the time-dependent results showed that the wall induction configuration had the fastest response to reach the steady state condition in under 10 min. The scale-up of the system to an industrial-scale CO₂ reforming resulted in the induction-heated technology being able to reach a high level of heating efficiency, with reactor volume being reduced by nearly 44 % compared to conventional steam methane reformers. These results demonstrate the potential for electrification, particularly the use of induction heating for reactor walls, to be a scalable and efficient method for the sustainable production of syngas and methanol from CO₂. Finally, an assessment of net CO₂ emissions as a function of grid carbon intensity emphasizes that substantial decarbonization is achievable when these technologies are integrated with low-carbon electricity sources.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"347 ","pages":"Article 120585"},"PeriodicalIF":10.9,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145218022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel optimization method for maximizing wind farm performance through turbine positioning and yaw angle estimation","authors":"Saja Zaid Al-Rubaye,&nbsp;Roberto Gil-Pita","doi":"10.1016/j.enconman.2025.120546","DOIUrl":"10.1016/j.enconman.2025.120546","url":null,"abstract":"<div><div>This study presents novel approaches to optimize wind farm performance by utilizing smart initialization techniques combined with optimization algorithm Levenberg–Marquardt to enhance position of the wind turbines, although fast yaw angle estimation technology with the Levenberg–Marquardt algorithm to enhance the yaw angle estimation of the turbines in order to increase the power generation of wind farm has been implemented. The k-means clustering was used for the evaluation of wind parameters, allowing for a precise estimation of wind speed and direction while significantly reducing computational time. The proposed combination of smart initialization with Levenberg–Marquardt algorithm technologies obtained the best results in the position of the turbines compared to other optimization algorithms. Although, fast yaw angle estimation can be independently or combined with the optimization algorithm improve the yaw angle estimation. The yaw angle of the first wind turbine (in a given wind direction) that maximizes the power generated by the remaining wind turbines is determined, then estimating the yaw angle of the second wind turbine that maximizes the power generated will continue and so on; then the results refined by the Levenberg–Marquardt algorithm. The results demonstrate significant improvements in overall wind farm performance by 44.9 MW in a 80 wind turbine farm compared to the non-optimized wind farm and by 5.6 MW when smart initialization added to Levenberg–Marquardt, highlighting the effectiveness of combining these advanced techniques for better resource management and energy efficiency in wind energy systems.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"347 ","pages":"Article 120546"},"PeriodicalIF":10.9,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Performance and wake prediction of a ducted tidal stream turbine in yaw misalignment using the lattice Boltzmann method","authors":"Minwei Yin ,&nbsp;Renwei Ji ,&nbsp;Renqing Zhu ,&nbsp;Sheng Xu ,&nbsp;Ke Sun ,&nbsp;Jianhua Zhang ,&nbsp;Yuquan Zhang ,&nbsp;Ratthakrit Reabroy","doi":"10.1016/j.enconman.2025.120574","DOIUrl":"10.1016/j.enconman.2025.120574","url":null,"abstract":"<div><div>Ducts can enhance the energy capture efficiency of tidal stream turbines (TSTs) in low-current velocity environments of deep seas. However, complex marine environments (e.g., seabed topography and waves) alter the water flow direction, causing the TST to operate in a yawed state. To address this issue, this paper employs a combination of the lattice Boltzmann method (LBM) and large eddy simulation (LES) to investigate the hydrodynamic performance and wake characteristics of short-tube ducted TSTs in yaw misalignment ranging from 0° to 45°. The study first evaluates TST performance through experiments in a water flume. Subsequently, an LBM-LES-based numerical model for TSTs is developed to calculate the power characteristics and compare them with experimental results, verifying the method’s accuracy. Finally, numerical simulations are conducted for both open and ducted TSTs under yaw conditions. The results indicate that: (1) The LBM-LES coupling method accurately captures flow field characteristics such as tip vortices and wake evolution, with simulation results showing strong agreement with experiments. This method serves as a high-precision tool for evaluating TST performance. (2) The duct improves the energy capture efficiency of the TST across the entire tip speed ratio range by accelerating the flow through the channel. It also mitigates the decline of the power coefficient and thrust coefficient in yaw misalignment. (3) The decay of hydrodynamic coefficients for open TSTs in yaw misalignment follows the cosine theory, whereas the decay for ducted TSTs is slower due to flow field modulation and requires correction using a low-exponent model. (4) The upstream side of TST blades exhibits both positive and negative pressures while the downstream side is dominated by negative pressure, with differences among blades at varying position angles. (5) The wake of the ducted TST exhibits an initial reverse deflection followed by realignment, with a smaller amplitude of wake center offset compared to the open TST. Additionally, the turbulent energy across all frequency bands is higher than that of open TSTs. The induced complex vortex system delays wake vortex dissipation and enhances flow field stability. The research results provide key parameters and yaw performance correction models for ducted TSTs in low-current velocity environments, laying a theoretical foundation for the efficient and stable operation of tidal stream energy devices in complex flow fields.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"347 ","pages":"Article 120574"},"PeriodicalIF":10.9,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Model predictive control of a phase-change-material thermal energy storage device at industrial relevant scale","authors":"Tommaso Reboli,&nbsp;Lorenzo Gini,&nbsp;Luca Mantelli,&nbsp;Alberto Traverso","doi":"10.1016/j.enconman.2025.120563","DOIUrl":"10.1016/j.enconman.2025.120563","url":null,"abstract":"<div><div>Thermal energy storage (TES) systems are widely used in the power generation, industrial and residential sectors, frequently coupled with concentrated solar power systems, heat pumps or dedicated heat exchangers to recover waste heat from industrial processes. They are characterized by high reliability, slow degradation and low costs, in terms of both investment and maintenance. Among the available technologies, latent heat storage systems employing phase change materials (PCMs) have the advantage of high compactness and small temperature variations. However, knowledge of operation of PCM devices is still limited, in particular regarding their dynamic response and performance of control systems devoted at regulating the thermal power exchanged. This article analyses the dynamic response of a shell-and-tube PCM-TES device, operated in laboratory but featuring industrial scale storage capacity (180 kWh) which provides cooling power exploiting the latent heat of water/ice. Experimental tests were carried out to observe its performance in various operating conditions and different states of charge, highlighting strongly non-linear behavior during transients, making the design of the controllers particularly challenging. First, a detailed system identification process was carried out, introducing new non-dimensional parameters to characterize the TES platform thermal response. Then a second order transfer function was developed to simulate the PCM-TES device and used to support the development of two control systems: the first one based on a conventional PID, and the second one developed according to a model predictive control (MPC) approach. These controllers were separately tested and compared in a software-in-the-loop setup and later installed on the actual PCM-TES device, demonstrating that (i) conventional linear control approaches might be unsuccessful with system non-linearities, causing instabilities, and that (ii) advanced control techniques, such as MPC, can compensate for system non-linearities and achieve successful regulation of the PCM-TES device.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"346 ","pages":"Article 120563"},"PeriodicalIF":10.9,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145155053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A multi-objective inverse (MOIn) energy system modelling method for guiding early technology development","authors":"Katharina Esser,&nbsp;Jonas Finke,&nbsp;Valentin Bertsch","doi":"10.1016/j.enconman.2025.120520","DOIUrl":"10.1016/j.enconman.2025.120520","url":null,"abstract":"<div><div>When including emerging technologies in energy system modelling, uncertainties are inevitable in early-development technical estimations, leading to uninformative/misleading results. Knowledge of the worst, yet still viable parameter values, without extensive parameter variation, is desirable, to reconcile energy modellers’ system-level and technology developers’ perspectives. We develop a novel inverse optimisation approach, turning traditional input parameters of energy system models into optimisation variables and, hence, outputs. This addition of variables leads to a multi-objective optimisation problem, which models trade-offs between multiple interests at system vs technology level. We employ the augmented epsilon-constraint method to solve the resulting multi-objective inverse (MOIn) optimisation problem. MOIn determines worst-case technical specification targets, guides development pathways, informs about market potentials and determines technology roles. We implement MOIn in the energy system modelling framework Backbone. We demonstrate our implementation for Carnot Batteries as emerging technology in the Central Western Europe power system, inverting the capital expenditure (CAPEX) parameter, estimated from 20<!--> <!-->€/kW/a to 913<!--> <!-->€/kW/a in literature. We find the maximum CAPEX at which CBs are still endogenously invested is low compared to these benchmarks. As round-trip efficiency (RTE) and energy-to-power (EtP) ratios decrease, CAPEX for CBs to remain competitive becomes stricter. Increasing EtP ratios more efficiently affects CAPEX and total system cost than increasing RTEs. Further results highlight the high sensitivity of CBs’ market potential. At low CAPEX, CBs dominate as long-term storage, but are replaced by hydrogen with rising CAPEX, shifting CBs towards mid-term storage. Overall, MOIn uniquely integrates energy system modelling with technical parameter analysis, fostering collaboration.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"347 ","pages":"Article 120520"},"PeriodicalIF":10.9,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145156141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Techno-economic analysis and life-cycle assessment of methanol synthesis plants using renewable hydrogen and carbon dioxide feedstocks","authors":"Christopher M. Douglas ,&nbsp;Haoxiang Lai ,&nbsp;Mohammad Ostadi ,&nbsp;Woojae Shin ,&nbsp;Leslie Bromberg ,&nbsp;Guiyan Zang","doi":"10.1016/j.enconman.2025.120374","DOIUrl":"10.1016/j.enconman.2025.120374","url":null,"abstract":"<div><div>This paper presents a cradle-to-gate techno-economic analysis (TEA) and life-cycle assessment (LCA) of synthetic methanol production leveraging low-carbon electrolytic hydrogen and renewable CO₂ captured from biomass- or biogas-powered bioenergy with capture (BEC) or direct air capture (DAC) facilities. Using a detailed chemical process model and a comprehensive cash flow analysis, we evaluate the mass and energy requirements for renewable methanol production plants using an integrated approach that couples scale effects, feedstock and energy prices, process emissions, and several other variables. In the baseline scenario, amortization of the total green methanol production costs reveals levelized costs of fuel (LCOF) equal to $0.76, $1.19, and $1.06 per kg of methanol when CO₂ is sourced from biomass BEC, biogas BEC, and DAC, respectively. From this baseline, sensitivity analysis is used to consider the dependence of these results upon plant/production scale and feedstock/energy costs and generalize findings to a broad range of local markets. These findings quantify strong economies of scale where methanol from biogas BEC is optimal at small production volumes, but where biomass BEC eventually becomes favored as production volumes approach 1000 tonnes of methanol per day. The findings also reveal significant opportunities if future H₂ prices below <span><math><mo>∼</mo></math></span>$1.50/kg can be attained. While the baseline TEA indicates that the considered renewable methanol synthesis process currently carries a green premium of 70% or more, the LCA reveals dramatic GHG reductions equal to 2.6-3.3 kg of CO₂-e per kg of methanol relative to conventional methods. Overall, this research quantifies both a notable economic challenge and a considerable environmental incentive associated with low-carbon methanol production, which could inform future decarbonization efforts in the chemicals industry.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"347 ","pages":"Article 120374"},"PeriodicalIF":10.9,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145156135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Techno-economic optimization of e-methanol production integrated with oxy-fuel power plants: an adaptive power management case study in Australia","authors":"Shahin Akbari ,&nbsp;Ali Hakkaki-Fard ,&nbsp;Mohammad Behshad Shafii","doi":"10.1016/j.enconman.2025.120569","DOIUrl":"10.1016/j.enconman.2025.120569","url":null,"abstract":"<div><div>The urgent need to decarbonize the energy and chemical sectors necessitates innovative pathways that integrate renewable energy with carbon utilization. This study presents a novel Power-to-Methanol (PtM) system. It uniquely combines solar-driven hydrogen supply via a thermochemical method, flexible operation tied to electricity markets, and detailed techno-economic modelling, distinguishing it from previous e-methanol integration research. The CO₂ utilized in the methanol synthesis unit is sourced from a retrofitted oxy-fuel power plant. Among the evaluated configurations, the best option achieves a capture rate of 350.1 kg_CO2/MWh, with an associated efficiency penalty of 6.7%. Despite these promising features, the standalone carbon capture approach yields a high CO₂ avoidance cost of $217.4/t_CO2, making it economically unviable. This study investigates the conversion of captured CO₂ into methanol to improve economic feasibility, thereby creating financial incentives for the adoption of advanced capture technologies. A detailed commercial-scale modular e-methanol production unit (750 t_MeOH/day) is presented. The system operates dynamically, adapting to fluctuations in electricity markets to improve economic returns through flexible grid interaction. Required hydrogen and oxygen are supplied via a solar-driven Copper–Chlorine (Cu–Cl) thermochemical cycle. Multi-objective optimization identifies the optimal design, achieving a Levelized Cost of Methanol (LCOM) of $1,190/t_MeOH, an overall efficiency of 11.8%, and a specific avoided CO₂ of 1.2 t_CO2/t_MeOH. The produced e-methanol remains non-competitive with grey methanol. However, future projections for 2050 indicate that, under anticipated CO₂ incentive schemes and reductions in critical cost components, the LCOM could decrease significantly to $745/t_MeOH.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"347 ","pages":"Article 120569"},"PeriodicalIF":10.9,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145156146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Techno-economic evaluation of hybrid multi-effect and membrane desalination systems for improved water production","authors":"Qais N. Al-Oweiti ,&nbsp;Omar G. Kaoud ,&nbsp;Muhammad H. Elbassoussi ,&nbsp;Syed M. Zubair","doi":"10.1016/j.enconman.2025.120548","DOIUrl":"10.1016/j.enconman.2025.120548","url":null,"abstract":"<div><div>This study introduces a hybrid desalination system combining a four-stage parallel-feed Multi-effect Desalination with Thermal Vapor Compression (MED-TVC) and Direct Contact Membrane Distillation (DCMD). The system recycles hot brine rejected from each MED-TVC stage into DCMD units, improving efficiency and reducing brine discharge. Techno-economic and exergy analyses indicate significant performance gains; at a steam temperature of 90 °C, the proposed hybrid system achieved a specific energy consumption of 25 kWh/m³ (11.6 % lower), and a levelized cost of water (LCOW) of 1.28 $/m³ (8.5 % reduction) compared to standalone MED-TVC. Optimal DCMD membrane area decreases from 17 m² at 65 °C to 9.2 m² at 95 °C, beyond which LCOW rises. The TVC part accounts for about half of system irreversibility, while sensitivity analyses confirm that capital expenditure (52.8 %) and steam costs (77.6 % of operational costs) heavily influence LCOW, indicating potential savings from reduced steam pricing.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"347 ","pages":"Article 120548"},"PeriodicalIF":10.9,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145156147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decarbonizing pulp production: a techno-economic study of Carbon Capture from Tomlinson Recovery Boiler flue gas via Molten Carbonate Fuel Cells","authors":"Letizia Cretarola ,&nbsp;Hongxi Luo ,&nbsp;Eric D. Larson ,&nbsp;Roberto Scaccabarozzi ,&nbsp;Andrew Jones ,&nbsp;Federico Viganò ,&nbsp;Stefano Consonni","doi":"10.1016/j.enconman.2025.120525","DOIUrl":"10.1016/j.enconman.2025.120525","url":null,"abstract":"<div><div>The pulp and paper (P&amp;P) industry is a significant contributor to global energy consumption and CO₂ emissions, necessitating effective decarbonization strategies. This work provides the first in-depth evaluation of Molten Carbonate Fuel Cells (MCFCs) as a carbon capture solution in the P&amp;P sector, specifically targeting the Tomlinson recovery boiler. As its CO₂ emissions are predominantly biogenic (carbon neutral), their capture enables the achievement of negative emissions. A case study techno-economic analysis for a reference medium-sized pulp mill in a U.S. context. is conducted to compare MCFC-based capture with conventional amine scrubbing (Cansolv). Two distinct configurations are analyzed for MCFC fuel: natural gas, which is considered the standard operation, and syngas, which is produced on-site through the gasification of waste biomass available in the pulp mill. The results indicate that MCFCs offer a dual advantage by enabling carbon capture while generating electricity. The natural gas-based MCFC system demonstrates a levelized cost of CO₂ capture (56 $/t_CO2) that benefits from revenue generated through electricity sales and an assumed 45 Q tax credit under the Inflation Reduction Act. The Cansolv case using natural gas to provide the energy needed for solvent regeneration has a cost of CO₂ capture of $76/t_CO2. On the other hand, the biomass-based MCFC configuration faces economic challenges due to the high costs of gasification and methanation, leading to a levelized cost of CO₂ capture of 361 $/t_CO2. A Cansolv case using biomass-combustion to provide heat for solvent generation is more economical, with a cost of CO₂ capture of $135/t_CO2.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"347 ","pages":"Article 120525"},"PeriodicalIF":10.9,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145156139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}