Energy Conversion and Management-X最新文献_第4页

Recycling of waste lubricant oil using two-step pyrolysis to produce fuel-like diesel and enhancing its combustion and emission parameters in diesel engines using linseed biodiesel

IF 7.1 Q1 ENERGY & FUELS

Energy Conversion and Management-X

Pub Date : 2025-02-12 DOI: 10.1016/j.ecmx.2025.100924

Ahmed I. EL-Seesy , Radwan M. El-Zoheiry , Mohamed I. Hassan Ali

The current study aimed to recycle waste lubricating oil (WLO) through a two-step electrical pyrolysis process and subsequently blended the produced fuel-like diesel (FLDR2) with linseed biodiesel (LSB) to enhance its combustion and emission characteristics. The experiment was divided into three phases. First, the electrical pyrolysis reactor was designed and implemented at the lab scale. In the second phase, the WLO was transferred to FLDR2 using the pyrolysis reactor in two rounds. In addition, linseed biodiesel (LSB) was prepared by using the same reactor with the aid of 1 % wt. NaOH as a catalyst. The physicochemical properties of FLDR1, FLDR2, and LSB were assessed by applying FTIR and TGA. In the pretest, fuel like-diesel produced from round-1, labeled FLDR1, was applied to the diesel engine, but it did not run smoothly. Finally, the combustion and pollutant features of pure FLDR2, LSB, and their 20 % and 30 % mixtures by volume of LSB and 80 % and 70 % of FLDR2, named B20 and B30, were assessed. The pyrolysis results indicated that the maximum yields for FLDR1, FLDR2, and LSB were approximately 82.5 %, 96.5 %, and 83.5 %, respectively. Two-step pyrolysis is an effective technique for producing fuel-like diesel with physicochemical properties comparable to those of diesel fuel, including a low sulfur content (0.24 wt%). The viscosity, density, and heating value of FLDR2 were 3.4 cSt, 834 kg/m³, and 42,948 kJ/kg, respectively. The engine performance analysis revealed a 39 % increase in smoke opacity and a 5 % increase in brake-specific fuel consumption for FLDR2 compared with diesel fuel. However, the B20 and B30 blends presented substantial reductions in smoke opacity, with average values of 32 % and 50 %, respectively, compared with those of pure FLDR2 and D100. These findings illustrated that blending LSB with FLDR2 significantly enhanced engine performance and demonstrated its potential as a viable alternative fuel for diesel engines, particularly the B30 blend, without requiring any engine modifications.

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引用次数: 0

Thermal barrier performance of natural fiber-reinforced biocomposite panels with the reflective surface for conserving heat energy in buildings

IF 7.1 Q1 ENERGY & FUELS

Energy Conversion and Management-X

Pub Date : 2025-02-12 DOI: 10.1016/j.ecmx.2025.100926

M A Rahman Bhuiyan, M Ashnaim Bari, M Abu Darda

This study investigates the thermal barrier properties of fiber-reinforced composites with heat reflective surfaces for building applications. Biocomposites made of natural cotton fiber with white and four distinct colors, such as red, yellow, blue, and black, were developed employing a compression molding technique. Among the studied composites, the white cotton composite owing to reflective surface has the lowest thermal conductivity of 0.0687 W/m·K, which was the maximum for its black counterpart with the value of 0.0823 W/m·K. The white composite, in contrast, exhibited higher conductive heat resistance (0.0582 m²·K/W) than the black ones (0.04862 m²·K/W). The evaluation of the radiative heat resistance using an incandescent lamp and sunlight showed the superior resistance of white composite to radiant heat transfer due to its high reflectance of electromagnetic radiation, making it an effective reflector and heat insulator material for thermal energy conservation. Additionally, the thermogravimetric analysis revealed adequate thermal stability with a similar trend in the degradation pattern of composites at elevated temperatures, confirming a negligible impact of color on thermal stability. The overall outcomes of this study suggest fiber-reinforced composites with reflective (white) surfaces can considerably resist the transfer of conductive and radiative heat than colored cotton materials and, therefore, can be employed as better heat-insulating panels in buildings for lowering thermal loads to maintain favorable indoor temperature.

{"title":"Thermal barrier performance of natural fiber-reinforced biocomposite panels with the reflective surface for conserving heat energy in buildings","authors":"M A Rahman Bhuiyan, M Ashnaim Bari, M Abu Darda","doi":"10.1016/j.ecmx.2025.100926","DOIUrl":"10.1016/j.ecmx.2025.100926","url":null,"abstract":"<div><div>This study investigates the thermal barrier properties of fiber-reinforced composites with heat reflective surfaces for building applications. Biocomposites made of natural cotton fiber with white and four distinct colors, such as red, yellow, blue, and black, were developed employing a compression molding technique. Among the studied composites, the white cotton composite owing to reflective surface has the lowest thermal conductivity of 0.0687 W/m·K, which was the maximum for its black counterpart with the value of 0.0823 W/m·K. The white composite, in contrast, exhibited higher conductive heat resistance (0.0582 m<sup>2</sup>·K/W) than the black ones (0.04862 m<sup>2</sup>·K/W). The evaluation of the radiative heat resistance using an incandescent lamp and sunlight showed the superior resistance of white composite to radiant heat transfer due to its high reflectance of electromagnetic radiation, making it an effective reflector and heat insulator material for thermal energy conservation. Additionally, the thermogravimetric analysis revealed adequate thermal stability with a similar trend in the degradation pattern of composites at elevated temperatures, confirming a negligible impact of color on thermal stability. The overall outcomes of this study suggest fiber-reinforced composites with reflective (white) surfaces can considerably resist the transfer of conductive and radiative heat than colored cotton materials and, therefore, can be employed as better heat-insulating panels in buildings for lowering thermal loads to maintain favorable indoor temperature.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"26 ","pages":"Article 100926"},"PeriodicalIF":7.1,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluating soiling effects to optimize solar photovoltaic performance using machine learning algorithms

IF 7.1 Q1 ENERGY & FUELS

Energy Conversion and Management-X

Pub Date : 2025-02-11 DOI: 10.1016/j.ecmx.2025.100921

Muhammad Faizan Tahir , Anthony Tzes , Tarek H.M. El-Fouly , Mohamed Shawky El Moursi , Nauman Ali Larik

Fossil fuel environmental issues and escalating costs have prompted a global shift towards renewable energy sources like solar photovoltaic. However, optimizing the performance of photovoltaic systems requires a comprehensive investigation of the various factors that reduce their power generation. Dust accumulation is prevalent in arid regions like the United Arab Emirates, posing a significant challenge to solar photovoltaic performance. Therefore, this study investigates the effect of soiling (from 1% to 5%) on electrical parameters (open circuit voltage and short circuit current), photovoltaic panel characteristics (cell temperature and module efficiency), and environmental variables (wind speed and irradiance) in the United Arab Emirates based Noor Abu Dhabi Solar Project. Additionally, machine learning algorithms such as artificial neural networks, support vector machines, regression trees, ensemble of regression trees, Gaussian process regression, efficient linear regression, and kernel methods are employed to predict power reduction due to soiling and soiling losses across various soiling percentages. Hyperparameter optimization using Bayesian methods enhances predictive performance. Results show Gaussian process regression and artificial neural networks excel in accuracy, though all models’ performance declines with increased soiling. Economic analysis via system advisor model highlights significant revenue drops in power purchase agreements with higher soiling, emphasizing need for proactive cleaning and maintenance.

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引用次数: 0

Exploring the potential of ligninolytic Bacillus sp. TSA-4 in wheat straw pretreatment for efficient methane production: A genomic perspective

IF 7.1 Q1 ENERGY & FUELS

Energy Conversion and Management-X

Pub Date : 2025-02-11 DOI: 10.1016/j.ecmx.2025.100920

Tawaf Ali Shah, Zhihe Li, Zhiyu Li, Andong Zhang, Tao Li, Hongyu Gu

The study aimed to remove lignin from wheat straw, which hinders the methane yield during fermentation. For lignin removal, a lignin-degrading strain [Bacillus sp. Strain TSA-4], 1 %H₂SO₄, 1 % NaOH were tested separately, and in combination. A lignin degrading bacteria Bacillus sp. Strain TSA-4 was isolated and it showed 76.63 % of lignin and 78.60 % Remazol Brilliant Blue R dye decolorization respectively. The strain showed lignin peroxidase (LiP), laccase (Lac), and cellulase activities of 58.1 U/mL, 27.3 U/mL, and 20.2 U/mL, respectively, at pH 5–6 and 50 °C. Different pretreatment test of 1 % H₂SO₄, 1 % NaOH, Bacillus sp. Strain TSA-4 and combinations were evaluated for the breakdown of lignin and cellulose of wheat straw. The combine AKT [1 %H₂SO₄ + 1 % NaOH + Bacillus sp. TSA4] pretreatment showed 84.98 % lignin degradation, and 68–70 % glucose and soluble sugar from pretreated wheat straw sample compared to the untreated wheat straw samples (17–18 %). The wheat straw pretreated with (1 % H2SO4 + 1 % NaOH + Bacillus sp. TSA4) AKT produced a cumulative biogas yield of 431.9 mL/gVS wheat straw, which is higher than other single treatment conditions. The AKT treatment enhanced 98.5 % cumulative methane yield compared to the untreated wheat straw sample. The genomic characterization of Bacillus sp. Strain TSA-4 has revealed the presence of multiple genes that encode lignocellulolytic enzymes. This confirms its cellulolytic potential and ability to break down lignocellulosic biomass. These findings emphasize the potential of Bacillus sp. Strain TSA-4 in the production of sugars and the utilization of lignocellulosic biomass in various industrial applications.

该研究旨在去除小麦秸秆中阻碍发酵过程中甲烷产量的木质素。为了去除木质素，对木质素降解菌株 [Bacillus sp. Strain TSA-4]、1 %H2SO4 和 1 %NaOH 进行了单独和组合试验。分离出的木质素降解菌株 Bacillus sp. Strain TSA-4，木质素脱色率为 76.63%，Remazol 亮蓝 R 染料脱色率为 78.60%。在 pH 5-6 和 50 °C条件下，该菌株的木质素过氧化物酶（LiP）、漆酶（Lac）和纤维素酶活性分别为 58.1 U/mL、27.3 U/mL和 20.2 U/mL。评估了 1 % H2SO4、1 % NaOH、芽孢杆菌 TSA-4 及其组合对小麦秸秆木质素和纤维素分解的不同预处理试验。联合 AKT [1 %H2SO4 + 1 % NaOH + 芽孢杆菌 TSA4] 预处理的木质素降解率为 84.98%，与未处理的小麦秸秆样品（17-18%）相比，预处理小麦秸秆样品的葡萄糖和可溶性糖降解率为 68-70%。用（1 % H2SO4 + 1 % NaOH + Bacillus sp. TSA4）AKT 预处理的小麦秸秆产生的累积沼气产量为 431.9 mL/gVS，高于其他单一处理条件。与未处理的小麦秸秆样品相比，AKT 处理提高了 98.5 % 的累积甲烷产量。菌株 TSA-4 的基因组特征显示，它含有多种编码木质纤维素分解酶的基因。这证实了其纤维素分解潜力和分解木质纤维素生物质的能力。这些发现强调了芽孢杆菌 TSA-4 菌株在生产糖类和在各种工业应用中利用木质纤维素生物质方面的潜力。

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引用次数: 0

WHR systems based on sCO2 gas turbines for marine applications: The effect of route environmental conditions on performance

IF 7.1 Q1 ENERGY & FUELS

Energy Conversion and Management-X

Pub Date : 2025-02-10 DOI: 10.1016/j.ecmx.2025.100915

Fabrizio Reale, Patrizio Massoli

Waste Heat Recovery is one of the viable solutions to enhance the global efficiency of propulsion and energy systems in marine applications, thus mitigating and reducing the greenhouse gas emission from shipping. In this context, WHR systems based on supercritical CO₂ Brayon Cycle are considered an emerging and interesting technology. The aim of this study is to investigate the off-design behaviour of an integrated energy system based on a commercial gas turbine (LM2500+) and a bottoming partially preheated and recuperated sCO₂ gas turbine, considering the variations in environmental conditions, that a vessel may encounter along commercial routes. In particular, an energy, environmental and exergetic numerical analysis has been carried out considering two different routes connecting Europe (the departure port is Naples in Southern Italy) to Kuala Lumpur (Malaysia), passing or not through the Suez Canal. The same routes have been considered in two different seasons (March 2024 and August/September 2024), to underline the effect of air and seawater temperatures on the overall performance of the integrated system. The steady-state thermodynamic analysis has been carried out using the commercial software Thermoflex. The results of the analysis highlighted that the overall efficiency of the system can vary up to 11 % in the same location, in different seasons and can reach a value closed to 49 %, dropping to 42 % in the worst-case scenario. At the same time, the efficiency of WHR can change up to 40–47 % in the same location under different environmental conditions considered.

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引用次数: 0

Advancing sustainability in LNG-Powered electricity generation: A comprehensive life cycle sustainability assessment

IF 7.1 Q1 ENERGY & FUELS

Energy Conversion and Management-X

Pub Date : 2025-02-08 DOI: 10.1016/j.ecmx.2025.100905

Ahmad Al-Kuwari , Murat Kucukvar , Nuri C. Onat , Hussein Al-Yafei , Ahmed AlNouss

Meeting the rising global energy demand necessitates efficient and sustainable electricity generation, with Liquefied Natural Gas (LNG) emerging as a cleaner alternative to traditional fossil fuels. In 2020, the United Kingdom generated 121.04 TWh of electricity using natural gas, accounting for over one-third of its total electricity production. However, achieving sustainability in LNG-based electricity generation remains a significant challenge. This study evaluates the sustainability of LNG-derived electricity in the UK, focusing on LNG sourced from Qatar, through a comprehensive life cycle sustainability assessment spanning eleven stages from natural gas extraction to power generation. The analysis integrates life cycle assessment, Aspen Hysys process simulation, and sensitivity analysis to identify key stages for improvement. The findings highlight that natural gas extraction contributes 96.23% of the total energy consumption, while power plants are responsible for 67.42% of total greenhouse gas emissions. Economic analysis identifies high operational costs and resource intensity as major barriers to sustainability. Socially, while LNG shipping creates employment opportunities, it raises concerns about fair compensation practices. Sensitivity analysis identifies regasification as a critical stage where targeted improvements can significantly reduce emissions. Furthermore, optimizing vessel design and LNG shipping routes offers the potential for minimizing environmental impacts. This study recommends strategic actions such as enhancing shipping logistics, advancing liquefaction technologies, and integrating renewable energy to improve the sustainability of LNG-based electricity generation. The findings provide actionable insights for policymakers, industry stakeholders, and researchers, emphasizing the need to critically reassess LNG’s role in shaping a sustainable energy future.

{"title":"Advancing sustainability in LNG-Powered electricity generation: A comprehensive life cycle sustainability assessment","authors":"Ahmad Al-Kuwari , Murat Kucukvar , Nuri C. Onat , Hussein Al-Yafei , Ahmed AlNouss","doi":"10.1016/j.ecmx.2025.100905","DOIUrl":"10.1016/j.ecmx.2025.100905","url":null,"abstract":"<div><div>Meeting the rising global energy demand necessitates efficient and sustainable electricity generation, with Liquefied Natural Gas (LNG) emerging as a cleaner alternative to traditional fossil fuels. In 2020, the United Kingdom generated 121.04 TWh of electricity using natural gas, accounting for over one-third of its total electricity production. However, achieving sustainability in LNG-based electricity generation remains a significant challenge. This study evaluates the sustainability of LNG-derived electricity in the UK, focusing on LNG sourced from Qatar, through a comprehensive life cycle sustainability assessment spanning eleven stages from natural gas extraction to power generation. The analysis integrates life cycle assessment, Aspen Hysys process simulation, and sensitivity analysis to identify key stages for improvement. The findings highlight that natural gas extraction contributes 96.23% of the total energy consumption, while power plants are responsible for 67.42% of total greenhouse gas emissions. Economic analysis identifies high operational costs and resource intensity as major barriers to sustainability. Socially, while LNG shipping creates employment opportunities, it raises concerns about fair compensation practices. Sensitivity analysis identifies regasification as a critical stage where targeted improvements can significantly reduce emissions. Furthermore, optimizing vessel design and LNG shipping routes offers the potential for minimizing environmental impacts. This study recommends strategic actions such as enhancing shipping logistics, advancing liquefaction technologies, and integrating renewable energy to improve the sustainability of LNG-based electricity generation. The findings provide actionable insights for policymakers, industry stakeholders, and researchers, emphasizing the need to critically reassess LNG’s role in shaping a sustainable energy future.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"26 ","pages":"Article 100905"},"PeriodicalIF":7.1,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimising computational efficiency in dynamic modelling of proton exchange membrane fuel cell power systems using NARX network

IF 7.1 Q1 ENERGY & FUELS

Energy Conversion and Management-X

Pub Date : 2025-02-07 DOI: 10.1016/j.ecmx.2025.100908

Hai Vu, Daejun Chang

Despite emerging as a green solution for power systems across various fields, fuel cell systems still face challenges that hinder their adoption due to difficulties in accurately characterising subsystems and complex phenomena, as well as the lack of effective computational models. This work utilises advanced AI technology to develop a fuel cell power system dynamic model with significantly enhanced computational speed. Three key milestones are achieved. First, a mechanistic/semi-empirical fuel cell model is established based on parameters with direct physical meaning. This model effectively illustrates the internal mechanisms of the fuel cell, providing deeper insights into its operation. Second, a complete dynamic model of a fuel cell power system is developed, comprising all necessary components and being capable of independently powering an external load or interacting with other systems. Third, by employing a Nonlinear Autoregressive model with External Input (NARX), a metamodel of the fuel cell system is created, achieving significantly improved computational efficiency while retaining essential knowledge of key phenomena. When comparing the simulation results of the NARX metamodel with those from the original mathematical model, the coefficient of determination (R²) exceeds 0.98 in post-startup conditions. Moreover, the computational speed increases at least 90-fold. The resulting metamodel demonstrates substantial potential for resolving the existential obstacles in fuel cell modelling, helping to foster the adoption of the system in real-world decarbonisation.

{"title":"Optimising computational efficiency in dynamic modelling of proton exchange membrane fuel cell power systems using NARX network","authors":"Hai Vu, Daejun Chang","doi":"10.1016/j.ecmx.2025.100908","DOIUrl":"10.1016/j.ecmx.2025.100908","url":null,"abstract":"<div><div>Despite emerging as a green solution for power systems across various fields, fuel cell systems still face challenges that hinder their adoption due to difficulties in accurately characterising subsystems and complex phenomena, as well as the lack of effective computational models. This work utilises advanced AI technology to develop a fuel cell power system dynamic model with significantly enhanced computational speed. Three key milestones are achieved. First, a mechanistic/semi-empirical fuel cell model is established based on parameters with direct physical meaning. This model effectively illustrates the internal mechanisms of the fuel cell, providing deeper insights into its operation. Second, a complete dynamic model of a fuel cell power system is developed, comprising all necessary components and being capable of independently powering an external load or interacting with other systems. Third, by employing a Nonlinear Autoregressive model with External Input (NARX), a metamodel of the fuel cell system is created, achieving significantly improved computational efficiency while retaining essential knowledge of key phenomena. When comparing the simulation results of the NARX metamodel with those from the original mathematical model, the coefficient of determination (R<sup>2</sup>) exceeds 0.98 in post-startup conditions. Moreover, the computational speed increases at least 90-fold. The resulting metamodel demonstrates substantial potential for resolving the existential obstacles in fuel cell modelling, helping to foster the adoption of the system in real-world decarbonisation.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"26 ","pages":"Article 100908"},"PeriodicalIF":7.1,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143444332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A review of biological processing technologies for palm oil mill waste treatment and simultaneous bioenergy production at laboratory scale, pilot scale and industrial scale applications with technoeconomic analysis

IF 7.1 Q1 ENERGY & FUELS

Energy Conversion and Management-X

Pub Date : 2025-02-07 DOI: 10.1016/j.ecmx.2025.100914

Debbie Dominic, Siti Baidurah

Palm oil production is one of the significant economic contributors to Malaysia, yet it poses serious environmental challenges, particularly in the management of palm oil mill waste. As the industry expands, the improper management of palm oil waste has raised alarms regarding environmental concerns. This review aims to address sustainable bioenergy production through biological processing technologies for palm oil mill waste treatment, focusing on biofuels such as biogas, bioethanol, and solid biomass pellets. Furthermore, the optimization of these technologies and their efficiency in removing pollutants like chemical oxygen demand (COD), biochemical oxygen demand (BOD), and total suspended solids (TSS) at laboratory, pilot, and industrial scales are also explored. Additionally, the technoeconomic analysis (TEA) of the treatment technologies using SuperPro Designer and Aspen Plus is discussed to provide insights into their economic viability and environmental benefits. This review presents a comprehensive approach to palm oil mill waste treatment integrated with bioenergy production and offers scalable and economically viable solutions for sustainable palm oil production. In the future, the development of hybrid biological treatment systems combining advanced technologies such as artificial intelligence (AI), internet of things (IoT), and nanotechnology could be proposed to further enhance operational efficiency, reduce costs, and maximize the recovery of bioenergy. Importantly, the adoption of sustainability certifications like Roundtable on Sustainable Palm Oil (RSPO) and Malaysian Sustainable Palm Oil (MSPO) is crucial in promoting responsible practices in palm oil production while ensuring compliance with environmental regulations, which would improve marketability.

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引用次数: 0

Dynamic control of a 10 MW solar-autothermal hybrid biomass gasifier for round-the-clock processing with stable syngas production

IF 7.1 Q1 ENERGY & FUELS

Energy Conversion and Management-X

Pub Date : 2025-02-07 DOI: 10.1016/j.ecmx.2025.100913

Axel Curcio , Sylvain Rodat , Valéry Vuillerme , Stéphane Abanades

This study tackles the theoretical controllability of a hybrid solar-autothermal biomass gasifier, subject to dynamic variations of the solar power input, for round-the-clock operation. An industrial-scaled spouted bed reactor is considered, which can ensure the continuous conversion of 2 to 3 t/h of woody biomass particles. Insufficient solar power is dynamically counterbalanced by in situ oxy-combustion, to maintain the reaction temperature at 1200 K and the total H₂ + CO flowrate production at 1000 NL/s. A Model Predictive Control (MPC) algorithm is thus implemented, and the feasibility of hybridized operation is demonstrated on a second-per-second basis. Daily and yearly performance results are achieved to discuss the relevance of several model assumptions and design choices, and a sensitivity analysis is proposed. In the region of Targasonne (French Pyrenees), hybridized gasification enables reducing biomass and O₂ consumptions by 6.2 % and 19.5 %, respectively, as compared with autothermal gasification for the same gas flowrate production. The yearly solar heat share reaches 22 %, while a 7.2 % dumping of the solar heat available is necessary to avoid over-heating. Within this scope, higher H₂ + CO production rates can only be achieved at the cost of lower solar heat shares but lower dumping rates, thus better utilization of the available solar resource. The feasibility of dynamic control of a solar-autothermal biomass gasifier was successfully demonstrated for the determination of annual process performance with reasonable computational costs, paving the way to stable and controllable solar gasification process operation.

{"title":"Dynamic control of a 10 MW solar-autothermal hybrid biomass gasifier for round-the-clock processing with stable syngas production","authors":"Axel Curcio , Sylvain Rodat , Valéry Vuillerme , Stéphane Abanades","doi":"10.1016/j.ecmx.2025.100913","DOIUrl":"10.1016/j.ecmx.2025.100913","url":null,"abstract":"<div><div>This study tackles the theoretical controllability of a hybrid solar-autothermal biomass gasifier, subject to dynamic variations of the solar power input, for round-the-clock operation. An industrial-scaled spouted bed reactor is considered, which can ensure the continuous conversion of 2 to 3 t/h of woody biomass particles. Insufficient solar power is dynamically counterbalanced by <em>in situ</em> oxy-combustion, to maintain the reaction temperature at 1200 K and the total H<sub>2</sub> + CO flowrate production at 1000 NL/s. A Model Predictive Control (MPC) algorithm is thus implemented, and the feasibility of hybridized operation is demonstrated on a second-per-second basis. Daily and yearly performance results are achieved to discuss the relevance of several model assumptions and design choices, and a sensitivity analysis is proposed. In the region of Targasonne (French Pyrenees), hybridized gasification enables reducing biomass and O<sub>2</sub> consumptions by 6.2 % and 19.5 %, respectively, as compared with autothermal gasification for the same gas flowrate production. The yearly solar heat share reaches 22 %, while a 7.2 % dumping of the solar heat available is necessary to avoid over-heating. Within this scope, higher H<sub>2</sub> + CO production rates can only be achieved at the cost of lower solar heat shares but lower dumping rates, thus better utilization of the available solar resource. The feasibility of dynamic control of a solar-autothermal biomass gasifier was successfully demonstrated for the determination of annual process performance with reasonable computational costs, paving the way to stable and controllable solar gasification process operation.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"26 ","pages":"Article 100913"},"PeriodicalIF":7.1,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143376700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Freshwater production through multi effect desalination integrated with parabolic trough collectors

IF 7.1 Q1 ENERGY & FUELS

Energy Conversion and Management-X

Pub Date : 2025-02-06 DOI: 10.1016/j.ecmx.2025.100907

Mohammad Mahyar Khademi, Fathollah Pourfayaz

Today, due to the increase in industrial activities and the increase in the world’s population, the human need for fresh water has increased. About 70% of the earth’s surface is covered by water, but about 15% of people suffer from lack of access to fresh water, which will increase by 40% by 2025. As a result, the use of seawater desalination units can solve the above basic problem. The use of fossil fuels is no longer a suitable solution for providing energy for desalination of sea water due to the increase in the emission of greenhouse gases, including carbon dioxide. On the other hand, the use of solar energy, due to its availability and cleanliness, is a promising solution for desalination of sea water. Integration of renewable systems with desalination units can solve the shortage of fresh water in the world and make the systems sustainable. The most important desalination processes include membrane desalination (for example, reverse osmosis (RO)) and thermal desalination (for example, multistage flash (MSF) and multi effect distillation (MED)). In this review article, the integration of parabolic trough collectors (PTC) with MED desalination units is investigated. And the advantages and disadvantages of each of these systems have been examined. Finally, increasing knowledge in the field of fresh water production using parabolic solar collectors has been significantly emphasized.

{"title":"Freshwater production through multi effect desalination integrated with parabolic trough collectors","authors":"Mohammad Mahyar Khademi, Fathollah Pourfayaz","doi":"10.1016/j.ecmx.2025.100907","DOIUrl":"10.1016/j.ecmx.2025.100907","url":null,"abstract":"<div><div>Today, due to the increase in industrial activities and the increase in the world’s population, the human need for fresh water has increased. About 70% of the earth’s surface is covered by water, but about 15% of people suffer from lack of access to fresh water, which will increase by 40% by 2025. As a result, the use of seawater desalination units can solve the above basic problem. The use of fossil fuels is no longer a suitable solution for providing energy for desalination of sea water due to the increase in the emission of greenhouse gases, including carbon dioxide. On the other hand, the use of solar energy, due to its availability and cleanliness, is a promising solution for desalination of sea water. Integration of renewable systems with desalination units can solve the shortage of fresh water in the world and make the systems sustainable. The most important desalination processes include membrane desalination (for example, reverse osmosis (RO)) and thermal desalination (for example, multistage flash (MSF) and multi effect distillation (MED)). In this review article, the integration of parabolic trough collectors (PTC) with MED desalination units is investigated. And the advantages and disadvantages of each of these systems have been examined. Finally, increasing knowledge in the field of fresh water production using parabolic solar collectors has been significantly emphasized.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"26 ","pages":"Article 100907"},"PeriodicalIF":7.1,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143396032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0