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Oscillatory stability and harmonics analysis of electro-mechanical coupling in PMSG-WTs via impedance modeling
IF 9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2025-03-15 DOI: 10.1016/j.renene.2025.122845
Bin Liu , XiaoMeng Liu , Chaodong Tan , Xiaoyong Gao , Zhen Li , Samson S. Yu , Abdelali El Aroudi , Jun Liang
The output dynamic characteristics of permanent magnet synchronous generator (PMSG) wind turbines (WTs) significantly influence system damping and, consequently, its stability and electrical oscillations. It is generally assumed that these characteristics are determined solely by the electrical subsystem due to the relatively soft shaft. However, with the sharply increasing capacity, the PMSG’s shaft inevitably becomes stronger, yet there are few studies verifying its significance in the coupling between mechanical and electrical subsystems when investigating electrical oscillations in grid-connected PMSG-WTs systems. In this paper, an impedance model of PMSG-WTs, including both the mechanical shaft subsystem and the electrical subsystem, is established to specifically examine electrical oscillation issues. Based on this impedance model, the mechanism of electro-mechanical coupling on harmonic transfer within the PMSG-WTs is studied, revealing the non-negligible influence of the mechanical subsystem on the output impedance characteristic of PMSG-WTs. It is demonstrated that the mechanical shaft subsystem, with different rotor inertia and shaft damping coefficients, affects the harmonic transfer between mechanical and electrical subsystems, thereby impacting the output impedance characteristics of PMSG-WTs and system stability. Finally, simulation results verify the effect of electro-mechanical coupling on system stability.
{"title":"Oscillatory stability and harmonics analysis of electro-mechanical coupling in PMSG-WTs via impedance modeling","authors":"Bin Liu ,&nbsp;XiaoMeng Liu ,&nbsp;Chaodong Tan ,&nbsp;Xiaoyong Gao ,&nbsp;Zhen Li ,&nbsp;Samson S. Yu ,&nbsp;Abdelali El Aroudi ,&nbsp;Jun Liang","doi":"10.1016/j.renene.2025.122845","DOIUrl":"10.1016/j.renene.2025.122845","url":null,"abstract":"<div><div>The output dynamic characteristics of permanent magnet synchronous generator (PMSG) wind turbines (WTs) significantly influence system damping and, consequently, its stability and electrical oscillations. It is generally assumed that these characteristics are determined solely by the electrical subsystem due to the relatively soft shaft. However, with the sharply increasing capacity, the PMSG’s shaft inevitably becomes stronger, yet there are few studies verifying its significance in the coupling between mechanical and electrical subsystems when investigating electrical oscillations in grid-connected PMSG-WTs systems. In this paper, an impedance model of PMSG-WTs, including both the mechanical shaft subsystem and the electrical subsystem, is established to specifically examine electrical oscillation issues. Based on this impedance model, the mechanism of electro-mechanical coupling on harmonic transfer within the PMSG-WTs is studied, revealing the non-negligible influence of the mechanical subsystem on the output impedance characteristic of PMSG-WTs. It is demonstrated that the mechanical shaft subsystem, with different rotor inertia and shaft damping coefficients, affects the harmonic transfer between mechanical and electrical subsystems, thereby impacting the output impedance characteristics of PMSG-WTs and system stability. Finally, simulation results verify the effect of electro-mechanical coupling on system stability.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"246 ","pages":"Article 122845"},"PeriodicalIF":9.0,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685630","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}
引用次数: 0
An integrated slagging model of biomass-fired boiler combining condensation fouling and ash viscous deposition
IF 9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2025-03-15 DOI: 10.1016/j.renene.2025.122908
Tongyu Qiu , Haining Su , Yiming Zhu , Yingmei Zhai , Hrvoje Mikulčić , Xuebin Wang , Jun Xie , Tianhua Yang
Slagging, fouling and ash depositon issues occurring on the heating surfaces of biomass-fired boiler inhibit the biomass firing/co-firing utilization. Fouling on the heating surfaces caused by condensation of salt vapor in the flue gas can also enhance the ash deposition by forming a viscous initial layer, which further captures fly ash. For multiple slagging prediction, an integrated model considering ash direct deposition, gaseous condensation and the subsequent ash capture has been proposed. Simulations of slagging in the superheater area were thus performed using ANSYS FLUENT with user define function (UDF), which were validated by sampling results of experimental study. The results show that the inertial impaction dominates the deposition of smaller particles (10–30 μm) with higher critical velocity, and the viscous capture behavior has obvious effect on larger particles of 50 μm and 80 μm. Condensation is inhibited with increasing temperature of deposited surface, while deposition efficiency increases due to a higher deposited surface viscosity. The proportion of viscous capture in the total deposition mass stays almost unchanged under different wall temperatures in three cases, with an average value of 26.9 %. The model is suitable for predicting multiple slagging behavior in the medium-temperature superheater area of biomass-fired boiler.
{"title":"An integrated slagging model of biomass-fired boiler combining condensation fouling and ash viscous deposition","authors":"Tongyu Qiu ,&nbsp;Haining Su ,&nbsp;Yiming Zhu ,&nbsp;Yingmei Zhai ,&nbsp;Hrvoje Mikulčić ,&nbsp;Xuebin Wang ,&nbsp;Jun Xie ,&nbsp;Tianhua Yang","doi":"10.1016/j.renene.2025.122908","DOIUrl":"10.1016/j.renene.2025.122908","url":null,"abstract":"<div><div>Slagging, fouling and ash depositon issues occurring on the heating surfaces of biomass-fired boiler inhibit the biomass firing/co-firing utilization. Fouling on the heating surfaces caused by condensation of salt vapor in the flue gas can also enhance the ash deposition by forming a viscous initial layer, which further captures fly ash. For multiple slagging prediction, an integrated model considering ash direct deposition, gaseous condensation and the subsequent ash capture has been proposed. Simulations of slagging in the superheater area were thus performed using ANSYS FLUENT with user define function (UDF), which were validated by sampling results of experimental study. The results show that the inertial impaction dominates the deposition of smaller particles (10–30 μm) with higher critical velocity, and the viscous capture behavior has obvious effect on larger particles of 50 μm and 80 μm. Condensation is inhibited with increasing temperature of deposited surface, while deposition efficiency increases due to a higher deposited surface viscosity. The proportion of viscous capture in the total deposition mass stays almost unchanged under different wall temperatures in three cases, with an average value of 26.9 %. The model is suitable for predicting multiple slagging behavior in the medium-temperature superheater area of biomass-fired boiler.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"246 ","pages":"Article 122908"},"PeriodicalIF":9.0,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644456","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}
引用次数: 0
Layout optimization for offshore wind farms considering both fatigue damage and power generation
IF 9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2025-03-15 DOI: 10.1016/j.renene.2025.122878
Wangxuan Peng , Baoliang Li , Mingwei Ge , Xintao Li , Wei Ding , Bo Li
Fatigue damage is a crucial factor affecting the lifespan and reliability of wind turbines. However, this factor is seldom considered in the phase of wind farm layout optimization (WFLO). This oversight can lead to increased operating and maintenance costs, especially for offshore wind farms. To fill this technical gap, a multi-objective WFLO framework considering both fatigue damage and power generation is proposed. Via analytical wake models of wind speed and turbulence, the fatigue damage of each turbine can be rapidly evaluated accounting for both power production and wake turbulence. Typically, the Horns Rev wind farm is taken as a benchmark, and two indicators of fatigue damage, the maximum (Fmax) and mean (Fmean) fatigue damage of all turbines, are considered in WFLO, respectively. The optimized layouts can achieve an increase in total power generation of over 2 % compared to the original layout, while reducing fatigue damage by about 1 %. Moreover, compared to single-objective WFLO focused solely on power generation, the multi-objective approach achieves a reduction of about 3.2 % in Fmax, while maintaining a comparable power output level. Further investigation shows that the indicator of Fmax in WFLO performs better to effectively reduce and balance the fatigue damage of all turbines.
{"title":"Layout optimization for offshore wind farms considering both fatigue damage and power generation","authors":"Wangxuan Peng ,&nbsp;Baoliang Li ,&nbsp;Mingwei Ge ,&nbsp;Xintao Li ,&nbsp;Wei Ding ,&nbsp;Bo Li","doi":"10.1016/j.renene.2025.122878","DOIUrl":"10.1016/j.renene.2025.122878","url":null,"abstract":"<div><div>Fatigue damage is a crucial factor affecting the lifespan and reliability of wind turbines. However, this factor is seldom considered in the phase of wind farm layout optimization (WFLO). This oversight can lead to increased operating and maintenance costs, especially for offshore wind farms. To fill this technical gap, a multi-objective WFLO framework considering both fatigue damage and power generation is proposed. Via analytical wake models of wind speed and turbulence, the fatigue damage of each turbine can be rapidly evaluated accounting for both power production and wake turbulence. Typically, the Horns Rev wind farm is taken as a benchmark, and two indicators of fatigue damage, the maximum (<em>F</em><sub>max</sub>) and mean (<em>F</em><sub><em>mean</em></sub>) fatigue damage of all turbines, are considered in WFLO, respectively. The optimized layouts can achieve an increase in total power generation of over 2 % compared to the original layout, while reducing fatigue damage by about 1 %. Moreover, compared to single-objective WFLO focused solely on power generation, the multi-objective approach achieves a reduction of about 3.2 % in <em>F</em><sub>max</sub>, while maintaining a comparable power output level. Further investigation shows that the indicator of <em>F</em><sub>max</sub> in WFLO performs better to effectively reduce and balance the fatigue damage of all turbines.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"246 ","pages":"Article 122878"},"PeriodicalIF":9.0,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143645011","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}
引用次数: 0
Investigation on the peak shaving potential of a new flexible two-stage heat pump for cooling
IF 9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2025-03-15 DOI: 10.1016/j.renene.2025.122882
Narges H. Mokarram , Zhichao Zhang , Zhibin Yu , Yiji Lu
This work introduces a new configuration of a flexible two-stage heat pump system (Co. 1) for cooling applications and compared it with the second configuration common in literature (Co. 2). This new system is investigated in comparison with other four systems under identical operating conditions: a baseline two-stage heat pump a baseline single-stage heat pump, and a flexible single-stage heat pump and a second configuration of the flexible two-stage heat pump. A control strategy is developed to regulate four operational modes — normal operation, charging, discharging, and standby, —depending on the cooling load, hour of the day, and status of the storage tanks. The weather data of London, UK, and Rome, Italy have been used to acquire the variable hourly cooling loads of a typical 4-story residential block via IESVE software. The results show that the flexible two-stage system and flexible single-stage systems achieve seasonal coefficients of performance (SCOP) 2.33 % and 2.55 % higher than the two baseline systems of two-stage and single-stage heat pumps, respectively. Furthermore, the heat pump demonstrates enhanced results in milder weather in London than in Rome. The newly proposed system in this study shows an overall higher SCOP than the other four compared heat pump systems.
{"title":"Investigation on the peak shaving potential of a new flexible two-stage heat pump for cooling","authors":"Narges H. Mokarram ,&nbsp;Zhichao Zhang ,&nbsp;Zhibin Yu ,&nbsp;Yiji Lu","doi":"10.1016/j.renene.2025.122882","DOIUrl":"10.1016/j.renene.2025.122882","url":null,"abstract":"<div><div>This work introduces a new configuration of a flexible two-stage heat pump system (Co. 1) for cooling applications and compared it with the second configuration common in literature (Co. 2). This new system is investigated in comparison with other four systems under identical operating conditions: a baseline two-stage heat pump a baseline single-stage heat pump, and a flexible single-stage heat pump and a second configuration of the flexible two-stage heat pump. A control strategy is developed to regulate four operational modes — normal operation, charging, discharging, and standby, —depending on the cooling load, hour of the day, and status of the storage tanks. The weather data of London, UK, and Rome, Italy have been used to acquire the variable hourly cooling loads of a typical 4-story residential block via IESVE software. The results show that the flexible two-stage system and flexible single-stage systems achieve seasonal coefficients of performance (SCOP) 2.33 % and 2.55 % higher than the two baseline systems of two-stage and single-stage heat pumps, respectively. Furthermore, the heat pump demonstrates enhanced results in milder weather in London than in Rome. The newly proposed system in this study shows an overall higher SCOP than the other four compared heat pump systems.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"246 ","pages":"Article 122882"},"PeriodicalIF":9.0,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Impact of the energy transition in the electricity sector on the environment and climate change in an industrial State of Andhra Pradesh, India: A life cycle assessment approach and policy directions for developing economies
IF 9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2025-03-15 DOI: 10.1016/j.renene.2025.122909
Vinay , Anudeepti Bajpai , Monika Koul
The energy transition required to build a sustainable climate-neutral global economy depends on an increase in the share of non-conventional sources in electricity generation. The geopolitics of the world is shifting from petro-economies (fossil-fuel based) to electro-economies (critical mineral based). The current study hypothesizes that transitioning from fossil fuel-based electricity generation to renewable energy (RE) sources is one of the most viable strategies for mitigating greenhouse gas (GHG) emissions and criteria pollutants, thereby protecting the environment from irreversible damage caused by climate change and worsening air quality, since RE technologies do not rely on combustion processes which substantially eliminate the release of harmful emissions. Therefore, the current study employed Life Cycle Assessment (LCA) approach to evaluate impact of energy transition in the electricity sector. The technical boundary is defined as a "Gate-to-Gate" focusing on the combustion phase, with a spatial boundary centered on Andhra Pradesh, India. This region utilizes energy from diverse electricity segments and further leverages Renewable Energy Share (RES) in the electricity mix. The functional unit selected for quantifying impacts was 1 kWh. The air emissions generated from 1 kWh of electricity generation were obtained from the Ecoinvent v3.3 database for different sources, including thermal power plants (Hard Coal and Natural Gas Combined Cycle), Wind turbines, Solar power, and Hydropower plant (Run-of-river, Pumped storage, and Reservoir type alpine region), present in the state. To test the hypothesis, midpoint impact indicators—Global Warming Potential, Photochemical Ozone Formation Potential, and Terrestrial Acidification Potential—were assessed. Endpoint evaluation further analyzed impacts on human health (measured in Disability-Adjusted Life Years) and ecosystems (terrestrial and freshwater species loss) to provide a comprehensive understanding of the environmental benefits of adopting RE technologies. The findings highlight that the environmental impacts associated with electricity generation have decreased, with Andhra Pradesh mitigating substantial emissions through an increased share of renewables in its electricity mix. This study validates the state's commitment to a clean energy transition and its alignment with Sustainable Development Goals (SDGs) related to clean energy and the environment. Additionally, it analyses several policy measures that are in place to encourage adoption of renewable energy and further highlights the drivers and barriers to their inclusion in the electricity mix.
{"title":"Impact of the energy transition in the electricity sector on the environment and climate change in an industrial State of Andhra Pradesh, India: A life cycle assessment approach and policy directions for developing economies","authors":"Vinay ,&nbsp;Anudeepti Bajpai ,&nbsp;Monika Koul","doi":"10.1016/j.renene.2025.122909","DOIUrl":"10.1016/j.renene.2025.122909","url":null,"abstract":"<div><div>The energy transition required to build a sustainable climate-neutral global economy depends on an increase in the share of non-conventional sources in electricity generation. The geopolitics of the world is shifting from petro-economies (fossil-fuel based) to electro-economies (critical mineral based). The current study hypothesizes that transitioning from fossil fuel-based electricity generation to renewable energy (RE) sources is one of the most viable strategies for mitigating greenhouse gas (GHG) emissions and criteria pollutants, thereby protecting the environment from irreversible damage caused by climate change and worsening air quality, since RE technologies do not rely on combustion processes which substantially eliminate the release of harmful emissions. Therefore, the current study employed Life Cycle Assessment (LCA) approach to evaluate impact of energy transition in the electricity sector. The technical boundary is defined as a \"Gate-to-Gate\" focusing on the combustion phase, with a spatial boundary centered on Andhra Pradesh, India. This region utilizes energy from diverse electricity segments and further leverages Renewable Energy Share (RES) in the electricity mix. The functional unit selected for quantifying impacts was 1 kWh. The air emissions generated from 1 kWh of electricity generation were obtained from the Ecoinvent v3.3 database for different sources, including thermal power plants (Hard Coal and Natural Gas Combined Cycle), Wind turbines, Solar power, and Hydropower plant (Run-of-river, Pumped storage, and Reservoir type alpine region), present in the state. To test the hypothesis, midpoint impact indicators—Global Warming Potential, Photochemical Ozone Formation Potential, and Terrestrial Acidification Potential—were assessed. Endpoint evaluation further analyzed impacts on human health (measured in Disability-Adjusted Life Years) and ecosystems (terrestrial and freshwater species loss) to provide a comprehensive understanding of the environmental benefits of adopting RE technologies. The findings highlight that the environmental impacts associated with electricity generation have decreased, with Andhra Pradesh mitigating substantial emissions through an increased share of renewables in its electricity mix. This study validates the state's commitment to a clean energy transition and its alignment with Sustainable Development Goals (SDGs) related to clean energy and the environment. Additionally, it analyses several policy measures that are in place to encourage adoption of renewable energy and further highlights the drivers and barriers to their inclusion in the electricity mix.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"246 ","pages":"Article 122909"},"PeriodicalIF":9.0,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143686123","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}
引用次数: 0
Comprehensive evaluation of a gas turbine-based multi-generation system for power, heating, cooling, freshwater, hydrogen and ammonia: 4E assessment and multi-objective optimization with RSM desirability approach
IF 9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2025-03-14 DOI: 10.1016/j.renene.2025.122900
Sadık Ata
In this study, the production of power, heating, cooling, freshwater, hydrogen and ammonia in a gas turbine cycle (GTC)-based multi-energy system is analysed. From parametric study with energy, exergy, economic, environmental and exergo-enviro analyses, regression models were created for five different responses depending on the decision parameters. These are exergy efficiency (ηex), dynamic payback period (DPP-year), CO2 footprint (kg/kWh), net present value (NPV-$) and levelized multi energy cost (LMEC-$/GJ). With these response values, bi-objective (BO), tri-objective (TO) and multi-objective optimization (MOO) studies including all responses were performed with Response Surface Method (RSM) and desirability function approach under various scenarios. In this context, RSM desirability plots and scores were generated by analyzing all binary (C(5,2)) and ternary C(5,3)) combinations of five different responses and MOO. As a result, a high desirability score of 0.8584 was obtained in MOO and an improvement of 2.19, 22.44, 1.37, 11.41 and 8.82 % was achieved for ηex, DPP-year, CO2 footprint-kg/kWh, NPV-$, and LMEC-$/GJ, respectively compared to the base case. Based on all response values pertaining to the energy, exergy, economic, environmental performance of the multi-energy system with RSM optimization, a performance enhancement of 9.25 % was determined.
{"title":"Comprehensive evaluation of a gas turbine-based multi-generation system for power, heating, cooling, freshwater, hydrogen and ammonia: 4E assessment and multi-objective optimization with RSM desirability approach","authors":"Sadık Ata","doi":"10.1016/j.renene.2025.122900","DOIUrl":"10.1016/j.renene.2025.122900","url":null,"abstract":"<div><div>In this study, the production of power, heating, cooling, freshwater, hydrogen and ammonia in a gas turbine cycle (GTC)-based multi-energy system is analysed. From parametric study with energy, exergy, economic, environmental and exergo-enviro analyses, regression models were created for five different responses depending on the decision parameters. These are exergy efficiency (η<sub>ex</sub>), dynamic payback period (DPP-year), CO<sub>2</sub> footprint (kg/kWh), net present value (NPV-$) and levelized multi energy cost (LMEC-$/GJ). With these response values, bi-objective (BO), tri-objective (TO) and multi-objective optimization (MOO) studies including all responses were performed with Response Surface Method (RSM) and desirability function approach under various scenarios. In this context, RSM desirability plots and scores were generated by analyzing all binary (C(5,2)) and ternary C(5,3)) combinations of five different responses and MOO. As a result, a high desirability score of 0.8584 was obtained in MOO and an improvement of 2.19, 22.44, 1.37, 11.41 and 8.82 % was achieved for η<sub>ex</sub>, DPP-year, CO<sub>2</sub> footprint-kg/kWh, NPV-$, and LMEC-$/GJ, respectively compared to the base case. Based on all response values pertaining to the energy, exergy, economic, environmental performance of the multi-energy system with RSM optimization, a performance enhancement of 9.25 % was determined.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"246 ","pages":"Article 122900"},"PeriodicalIF":9.0,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644455","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}
引用次数: 0
Optical performance investigation for a parabolic trough collector equipped with an innovative flat tube receiver
IF 9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2025-03-14 DOI: 10.1016/j.renene.2025.122860
Mohammed K. Saadeldin , S.Z. Shuja , Syed M. Zubair
This study examines the optical performance of a parabolic trough solar collector (PTC) system with an innovative flat tube receiver, analyzed using Monte Carlo Ray Tracing (MCRT) simulations in SolTrace. The transition from a circular to a flat tube geometry was achieved by stretching the circular cross-section while maintaining a constant area. Results indicate that horizontal flat tubes significantly improve optical efficiency, with gains of up to 21.93 % for smaller diameters (10–20 mm), though at the cost of increased flux non-uniformity. For a 70 mm base diameter, efficiency improved by 0.52 % at a 1.6 stretching ratio, with a 7.8 % rise in non-uniformity. In contrast, vertical flat tubes slightly reduced efficiency (by 0.56 %) but enhanced flux uniformity, lowering non-uniformity by 11.88 %. These findings provide key insights into the trade-offs between efficiency and flux uniformity, supporting the optimization of PTC receiver designs for advanced solar energy applications.
{"title":"Optical performance investigation for a parabolic trough collector equipped with an innovative flat tube receiver","authors":"Mohammed K. Saadeldin ,&nbsp;S.Z. Shuja ,&nbsp;Syed M. Zubair","doi":"10.1016/j.renene.2025.122860","DOIUrl":"10.1016/j.renene.2025.122860","url":null,"abstract":"<div><div>This study examines the optical performance of a parabolic trough solar collector (PTC) system with an innovative flat tube receiver, analyzed using Monte Carlo Ray Tracing (MCRT) simulations in SolTrace. The transition from a circular to a flat tube geometry was achieved by stretching the circular cross-section while maintaining a constant area. Results indicate that horizontal flat tubes significantly improve optical efficiency, with gains of up to 21.93 % for smaller diameters (10–20 mm), though at the cost of increased flux non-uniformity. For a 70 mm base diameter, efficiency improved by 0.52 % at a 1.6 stretching ratio, with a 7.8 % rise in non-uniformity. In contrast, vertical flat tubes slightly reduced efficiency (by 0.56 %) but enhanced flux uniformity, lowering non-uniformity by 11.88 %. These findings provide key insights into the trade-offs between efficiency and flux uniformity, supporting the optimization of PTC receiver designs for advanced solar energy applications.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"246 ","pages":"Article 122860"},"PeriodicalIF":9.0,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685079","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}
引用次数: 0
Enhancing wind energy harvesting performance through staggered dual cylinders inspired by migrant bird lift sharing effect
IF 9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2025-03-14 DOI: 10.1016/j.renene.2025.122905
Hao Jing , Hongjun Xiang , Jingyan Wang
In nature, migratory birds often use a V-shaped queue during their flights. Bird at the back of the queue benefit from the lift sharing effect, saving energy during flight. Inspired by this, we design a staggered dual-cylinder energy harvester and conduct comprehensive wind tunnel experiments to explore its performance. Experimental results reveal that the dual cylinder system achieved a peak voltage of 7.8 V–32.9 V compared to 6.8 V for a single cylinder, with a maximum enhancement factor of 4.8 at wind speeds of 1–7 m/s. Numerical simulations are further utilized to analyze the aerodynamic mechanism behind the lift-sharing effect. The results show that energy output strongly correlates with wake vortex strength and influenced width. This work offers ideas for designing piezoelectric wind energy harvesters based on the lift sharing effect.
{"title":"Enhancing wind energy harvesting performance through staggered dual cylinders inspired by migrant bird lift sharing effect","authors":"Hao Jing ,&nbsp;Hongjun Xiang ,&nbsp;Jingyan Wang","doi":"10.1016/j.renene.2025.122905","DOIUrl":"10.1016/j.renene.2025.122905","url":null,"abstract":"<div><div>In nature, migratory birds often use a V-shaped queue during their flights. Bird at the back of the queue benefit from the lift sharing effect, saving energy during flight. Inspired by this, we design a staggered dual-cylinder energy harvester and conduct comprehensive wind tunnel experiments to explore its performance. Experimental results reveal that the dual cylinder system achieved a peak voltage of 7.8 V–32.9 V compared to 6.8 V for a single cylinder, with a maximum enhancement factor of 4.8 at wind speeds of 1–7 m/s. Numerical simulations are further utilized to analyze the aerodynamic mechanism behind the lift-sharing effect. The results show that energy output strongly correlates with wake vortex strength and influenced width. This work offers ideas for designing piezoelectric wind energy harvesters based on the lift sharing effect.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"246 ","pages":"Article 122905"},"PeriodicalIF":9.0,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685072","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}
引用次数: 0
One-pot depolymerization of forest residues to potential aviation fuel over hybrid zeolite – N-doped activated carbon supported NiMo catalyst
IF 9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2025-03-14 DOI: 10.1016/j.renene.2025.122835
Quoc Khanh Tran , Muhammad Abdus Salam , Phuoc Hoang Ho , Huy Xuan Le , Christian Kugge , Derek Creaser , Louise Olsson
In this work, sawdust and bark are depolymerized by catalytic reductive liquefaction using a bimetallic NiMo catalyst, with the aim to generate bio-fuel components in a single reaction step, that potentially could be used to produce sustainable aviation fuel (SAF). The hybrid support Zeolite Y combined with N-doped on activated carbon (YNAC) was synthesized from zeolite Y (silica/alumina ratio, SAR = 80) and N-doped activated carbon (NAC). The effect of temperature, pressure, and catalyst loading were systematically investigated to obtain conditions favorable for the yield and quality of the liquid product. The result at 400 °C, 20 bar H2 (at room temperature), 4 h residence time with 30 wt% catalyst loading of NiMo@YNAC (75:25) showed the lowest solid yields, which was 3.9 wt% when using sawdust. The solid yield increased to 18.2 wt% when using bark and was intermediate (8.4 wt%) when using a sawdust/bark blend with 8/2 wt ratio. Sawdust was mainly converted into a liquid product consisting of cycloalkanes (C4-C7) (48.1 wt%), aromatics (2.1 wt%), phenolic compounds (15.8 wt%), and a heavy oil fraction (9.2 wt%). Meanwhile, bark was converted into similar compounds, however, with higher yields of mainly naphthenic and biphenyl components. The catalytic activity of NiMo on other supports such as ɤ-Al2O3, ZrO2, TiO2, and CeO2 were also examined at the same conditions as NiMo@YNAC (75:25). Moreover, acidic washing of the bark was very beneficial resulting in that the solid yield significantly decreased, from 18 % to 6 %, while the bio-oil yield was improved (from 78 % to 91 %). The results showed that the NiMo@YNAC (75:25) catalyst with high deoxygenation and hydrogenation effects is a promising candidate for depolymerization of biomass into biofuels.
{"title":"One-pot depolymerization of forest residues to potential aviation fuel over hybrid zeolite – N-doped activated carbon supported NiMo catalyst","authors":"Quoc Khanh Tran ,&nbsp;Muhammad Abdus Salam ,&nbsp;Phuoc Hoang Ho ,&nbsp;Huy Xuan Le ,&nbsp;Christian Kugge ,&nbsp;Derek Creaser ,&nbsp;Louise Olsson","doi":"10.1016/j.renene.2025.122835","DOIUrl":"10.1016/j.renene.2025.122835","url":null,"abstract":"<div><div>In this work, sawdust and bark are depolymerized by catalytic reductive liquefaction using a bimetallic NiMo catalyst, with the aim to generate bio-fuel components in a single reaction step, that potentially could be used to produce sustainable aviation fuel (SAF). The hybrid support Zeolite Y combined with N-doped on activated carbon (YNAC) was synthesized from zeolite Y (silica/alumina ratio, SAR = 80) and N-doped activated carbon (NAC). The effect of temperature, pressure, and catalyst loading were systematically investigated to obtain conditions favorable for the yield and quality of the liquid product. The result at 400 °C, 20 bar H<sub>2</sub> (at room temperature), 4 h residence time with 30 wt% catalyst loading of NiMo@YNAC (75:25) showed the lowest solid yields, which was 3.9 wt% when using sawdust. The solid yield increased to 18.2 wt% when using bark and was intermediate (8.4 wt%) when using a sawdust/bark blend with 8/2 wt ratio. Sawdust was mainly converted into a liquid product consisting of cycloalkanes (C<sub>4</sub>-C<sub>7</sub>) (48.1 wt%), aromatics (2.1 wt%), phenolic compounds (15.8 wt%), and a heavy oil fraction (9.2 wt%). Meanwhile, bark was converted into similar compounds, however, with higher yields of mainly naphthenic and biphenyl components. The catalytic activity of NiMo on other supports such as ɤ-Al<sub>2</sub>O<sub>3</sub>, ZrO<sub>2</sub>, TiO<sub>2</sub>, and CeO<sub>2</sub> were also examined at the same conditions as NiMo@YNAC (75:25). Moreover, acidic washing of the bark was very beneficial resulting in that the solid yield significantly decreased, from 18 % to 6 %, while the bio-oil yield was improved (from 78 % to 91 %). The results showed that the NiMo@YNAC (75:25) catalyst with high deoxygenation and hydrogenation effects is a promising candidate for depolymerization of biomass into biofuels.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"246 ","pages":"Article 122835"},"PeriodicalIF":9.0,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143685073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Efficient calculation of distributed photovoltaic power generation power prediction via deep learning
IF 9 1区 工程技术 Q1 ENERGY & FUELS Pub Date : 2025-03-14 DOI: 10.1016/j.renene.2025.122901
Jiaqian Li , Congjun Rao , Mingyun Gao , Xinping Xiao , Mark Goh
Distributed photovoltaic (PV) power generation has gained significant support from national policies and has seen rapid development due to its ability to adapt to local conditions, its cleanliness and efficiency, as well as its notable environmental and economic benefits. However, PV power generation is highly susceptible to fluctuations and unpredictability caused by varying weather conditions. Accurate prediction of PV power generation is essential for maintaining grid stability and efficient operation. To improve prediction accuracy, we propose a novel model, PerfCNN-LSTM, which combines a convolutional neural network (CNN) and a long short-term memory (LSTM) network with the Performer self-attention mechanism. This model aims to enhance PV power generation forecasting. By extracting local features from the data, the model further captures global features through the integration of the Performer self-attention mechanism layer. This layer introduces linear random feature mapping, transforming the originally nonlinear attention weight calculation into linear attention, which simplifies the attention process and reduces the model's computational complexity. The output from the Performer layer is directly fed into the LSTM model to generate the final PV power generation prediction. We evaluated the performance of the model across three different datasets using key metrics such as MAE, RMSE, MSE, and R2. When compared with six other deep learning models, the PerfCNN-LSTM demonstrates superior prediction accuracy.
{"title":"Efficient calculation of distributed photovoltaic power generation power prediction via deep learning","authors":"Jiaqian Li ,&nbsp;Congjun Rao ,&nbsp;Mingyun Gao ,&nbsp;Xinping Xiao ,&nbsp;Mark Goh","doi":"10.1016/j.renene.2025.122901","DOIUrl":"10.1016/j.renene.2025.122901","url":null,"abstract":"<div><div>Distributed photovoltaic (PV) power generation has gained significant support from national policies and has seen rapid development due to its ability to adapt to local conditions, its cleanliness and efficiency, as well as its notable environmental and economic benefits. However, PV power generation is highly susceptible to fluctuations and unpredictability caused by varying weather conditions. Accurate prediction of PV power generation is essential for maintaining grid stability and efficient operation. To improve prediction accuracy, we propose a novel model, PerfCNN-LSTM, which combines a convolutional neural network (CNN) and a long short-term memory (LSTM) network with the Performer self-attention mechanism. This model aims to enhance PV power generation forecasting. By extracting local features from the data, the model further captures global features through the integration of the Performer self-attention mechanism layer. This layer introduces linear random feature mapping, transforming the originally nonlinear attention weight calculation into linear attention, which simplifies the attention process and reduces the model's computational complexity. The output from the Performer layer is directly fed into the LSTM model to generate the final PV power generation prediction. We evaluated the performance of the model across three different datasets using key metrics such as MAE, RMSE, MSE, and <em>R</em><sup>2</sup>. When compared with six other deep learning models, the PerfCNN-LSTM demonstrates superior prediction accuracy.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"246 ","pages":"Article 122901"},"PeriodicalIF":9.0,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644457","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}
引用次数: 0
期刊
Renewable Energy
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