Energy Conversion and Management最新文献

{"title":"The prediction of binary zeotropic mixtures in-tube flow condensation – A generalized non-equilibrium heat transfer model","authors":"Mohamed Shaaban Eissa ,&nbsp;Amr Kotb ,&nbsp;Liping Liu ,&nbsp;Sophie Wang","doi":"10.1016/j.enconman.2025.120562","DOIUrl":"10.1016/j.enconman.2025.120562","url":null,"abstract":"<div><div>As the demand for environmentally friendly and high-performance refrigerants grows, accurate prediction of condensation heat transfer in binary zeotropic mixtures has become critical for the design of compact and efficient heat exchangers. In this study, a generalized non-equilibrium heat transfer model is developed to predict the condensation behavior of such mixtures under annular flow conditions. The model is based on film theory and incorporates mass transfer resistance induced by both axial and radial concentration gradients in the vapor phase. Unlike traditional models, it introduces two iterative correction mechanisms, interface temperature and equivalent heat flux applied across three thermal regions- the vapor core, the interface mixture, and the condensate layer. The framework incorporates a range of annular flow correlations to ensure flexibility and applicability across various binary blends. A key strength of the proposed model lies in its ability to track evolving temperature and concentration gradients throughout the condensation process, offering detailed insights into the thermal resistance mechanisms and composition shifts of the more volatile component. The model was validated against 871 experimental data points spanning multiple refrigerant pairs and operating conditions. Among the tested correlations, Shah (2009) exhibited the highest accuracy, with over 92 % of predictions within ± 30 % deviation from experimental data. Comparative analysis with existing pure fluid, equilibrium, and non-equilibrium models demonstrates the superior performance and generality of the proposed approach. The model provides a robust and practical tool for accurately predicting heat transfer coefficients in binary zeotropic mixtures, offering valuable guidance for the design of next-generation thermal systems.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"347 ","pages":"Article 120562"},"PeriodicalIF":10.9,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145218020","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":"Energy, exergy, exergoeconomic and exergoenvironmental evaluation of a combined power, cooling and steam generation system with biomass source and different gasification agents","authors":"Mohammad Mahdi Balakheli,&nbsp;Mahmood Mehregan,&nbsp;Seyed Majid Hashemian","doi":"10.1016/j.enconman.2025.120537","DOIUrl":"10.1016/j.enconman.2025.120537","url":null,"abstract":"<div><div>The need to provide a suitable alternative to fossil fuels is important for environmental protection and meeting energy demand. In the present study, the integration of a molten carbonate fuel cell with a biomass gasification unit and the utilization of different gasifying agents has been considered as an effective issue in a combined power, cooling and steam generation system. A gasification unit is employed to convert biomass wood into syngas using three different gasifying agents: air, oxygen, and steam. The study evaluates and compares the impact of these gasifying agents on system performance from energy, exergy, exergoeconomic, and exergoenvironmental perspectives. The results reveal that the highest power output occurs when steam is used as the gasifying agent. Under this condition, the system achieves maximum energy and exergy efficiencies of approximately 72.07% and 45.13%, respectively. Additionally, the highest exergy destruction cost rate is recorded for the system using steam gasification, reaching 0.16 $/s. Meanwhile, the most significant environmental impact due to exergy destruction is observed in the system operating with steam gasification, with a value of 0.047 Pts/s.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"347 ","pages":"Article 120537"},"PeriodicalIF":10.9,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145227798","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 solar integrated adsorption carbon dioxide energy storage system","authors":"Suzhen Yin ,&nbsp;Xingpeng Yan ,&nbsp;Xintao Fu ,&nbsp;Zhan Liu","doi":"10.1016/j.enconman.2025.120573","DOIUrl":"10.1016/j.enconman.2025.120573","url":null,"abstract":"<div><div>The intermittency and randomness of solar radiation result in unstable output power of photovoltaic and concentrated solar power generation systems, which limits their grid penetration rate. This study proposes a novel solar-integrated adsorption compressed carbon dioxide energy storage system. The newly proposed system realizes the efficient and coordinated storage of photovoltaic electrical energy and solar thermal energy. The system employs a diurnally complementary operation mechanism: storing energy via daytime carbon dioxide desorption and releasing energy through nighttime carbon dioxide adsorption. A comprehensive evaluation framework combining thermodynamic and economic analysis is employed to quantitatively assess the system performance. The research also delves into the critical parameters affecting the overall system. Based on the analysis results, the liquid carbon dioxide tank temperature and the high-pressure low temperature are suggested to be 26.5 ℃ and 46 ℃, respectively. The organic turbine inlet pressure is recommended to be set at 10 MPa. The power rating should be no less than 100 MW to fully utilize the scale benefits of the system. Under the typical operating conditions, the system round trip efficiency and exergy efficiency can reach 70.06 % and 69.60 %, respectively. The cost of the adsorption bed amounts to 46.77 % of the overall investment cost. The levelized cost of storage is 0.1425 ¥/kWh and the dynamic payback period is 5.74 years.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"347 ","pages":"Article 120573"},"PeriodicalIF":10.9,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145227796","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":"Solar Driven Evaporation-induced Electricity Generation from Soil: An Experimental Investigation","authors":"Mohammad Derayatifar ,&nbsp;Mohammad Mustafa Ghafurian ,&nbsp;Golsa Shahini ,&nbsp;Saba Banaian ,&nbsp;Ahmad Arabkoohsar ,&nbsp;Hamid Niazmand","doi":"10.1016/j.enconman.2025.120549","DOIUrl":"10.1016/j.enconman.2025.120549","url":null,"abstract":"<div><div>One effective approach to achieving sustainable energy solutions is the generation of power through solar evaporation-induced water flow from natural materials. This study experimentally investigates electricity generation through solar evaporation-induced water flow and soil. Firstly, a wide range of experimental analyses is conducted on soil samples from various classifications. Then, the intrinsic properties of soil, including light absorption, porosity, contact angle, permeability, and microporous channels, are measured. Among all the samples, Mashhad soil (classified as SM silty sand under the Unified Soil Classification System) showed the best performance, achieving a maximum evaporation efficiency of 83.4 % and an open-circuit voltage of 205 millivolts. To improve light absorption leading to increased evaporation rates and voltage generation, a combination of soil and activated carbon was examined. The results reveal that a 50/50 wt. ratio of soil to activated carbon increases the evaporation efficiency to 92 % and achieves a maximum power density of 0.21 mW·m⁻² under 1 kW·m⁻² during a closed-circuit test. These findings highlight that a soil–activated carbon composite can serve as a simple yet effective method for large-scale energy conversion from solar radiation and rainfall.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"347 ","pages":"Article 120549"},"PeriodicalIF":10.9,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217664","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 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}