Energy Conversion and Management最新文献

{"title":"Analysis of energy consumption for auxiliaries of zero emissions sCO2 power plants","authors":"I.S. Sadkin , O.V. Borush , P.A. Shchinnikov","doi":"10.1016/j.enconman.2024.119266","DOIUrl":"10.1016/j.enconman.2024.119266","url":null,"abstract":"","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"323 ","pages":"Article 119266"},"PeriodicalIF":9.9,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656280","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":"An in-depth critical review of different carbon capture techniques: Assessing their effectiveness and role in reducing climate change emissions","authors":"Ankit Nema,&nbsp;Arvind Kumar,&nbsp;Vilas Warudkar","doi":"10.1016/j.enconman.2024.119244","DOIUrl":"10.1016/j.enconman.2024.119244","url":null,"abstract":"<div><div>Capturing, utilizing, and storing CO₂ is recognized as a vital strategy to combat climate change driven by fossil fuel use. This approach helps reduce greenhouse gas emissions and promotes sustainability by managing CO₂ emissions through innovative capture technologies, exploring its conversion into valuable products, and ensuring safe storage to prevent atmospheric re-entry. Several strategies for CO₂ capture have been developed, including pre-combustion, post-combustion, and oxyfuel combustion. Pre-combustion methods can be further categorized into chemical looping, gas-liquid absorption, autothermal reforming, and steam methane reforming. Post-combustion capture is divided into techniques such as absorption, adsorption, membrane separation, cryogenic distillation, calcium looping, and direct air capture. Each of these approaches plays a critical role in reducing CO₂ emissions and addressing climate change. This study aims to enhance CO₂ capture technologies by providing a comprehensive overview of the current state of carbon capture methods. To achieve this, the major strategies and technologies for capturing CO₂ from coal gasification processes have been thoroughly reviewed. The review article is structured into three main sections, covering pre-combustion, post-combustion, and oxyfuel combustion techniques. Each of these methods is further divided into various sub-techniques. The article thoroughly examines the impact of these carbon capture methods, comparing them with other available techniques. It provides readers with a clear understanding of the current status of carbon capture technologies and their effectiveness.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"323 ","pages":"Article 119244"},"PeriodicalIF":9.9,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656272","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":"Feasibility of a heat pump-assisted liquid desiccant system for continuous dehumidification and regeneration in temperate oceanic climatic greenhouses","authors":"Mrinal Bhowmik ,&nbsp;Alessandro Giampieri ,&nbsp;James Bean ,&nbsp;Anthony Paul Roskilly ,&nbsp;Zhiwei Ma","doi":"10.1016/j.enconman.2024.119256","DOIUrl":"10.1016/j.enconman.2024.119256","url":null,"abstract":"<div><div>Effective thermo-hygrometric control is essential for buildings and greenhouses, particularly in green and low-carbon production. There is growing interest in integrating heat pumps with liquid desiccant systems to enhance energy efficiency and reduce system size in air moisture control. The current study investigates a novel liquid desiccant system combined with a heat pump for continuous, energy-efficient dehumidification and regeneration in horticultural crop cultivation in greenhouses. The uniqueness of the developed system lies in its integration, contrasting with previous liquid desiccant systems designed with separate dehumidifier and regenerator. A semi-theoretical model is developed and validated using in-house experimental datasets to simulate novel liquid desiccant system performance. Results demonstrate that the system effectively maintains air humidity levels, with a maximum enthalpy demand for dehumidification of 99.1 kJ/kg at a solution temperature difference of 40 °C during summer. The minimum achieved moisture content with lithium chloride, calcium chloride, and potassium formate is 7.64 g/kg_da, 8.1 g/kg_da, and 7.78 g/kg_da, respectively, while regeneration produces maximum moisture contents of 23.5 g/kg_da, 23.9 g/kg_da, and 23.7 g/kg_da. The system's maximum effectiveness reaches 76 %, 75 %, and 74 % for lithium chloride, calcium chloride, and potassium formate, respectively. When dehumidification demand exceeds 1,500 h annually, the payback period is five years or less, making the system suitable for new installations and retrofits. A case study considering outdoor conditions in the northeastern United Kingdom presents simulation results for two distinct scenarios, demonstrating the system's potential in real-world applications.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"323 ","pages":"Article 119256"},"PeriodicalIF":9.9,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655784","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}

{"title":"Comparison of diesel and hydrotreated vegetable oil as the high-reactivity fuel in reactivity-controlled compression ignition","authors":"Jacek Hunicz ,&nbsp;Liping Yang ,&nbsp;Arkadiusz Rybak ,&nbsp;Shuaizhuang Ji ,&nbsp;Michał S. Gęca ,&nbsp;Maciej Mikulski","doi":"10.1016/j.enconman.2024.119264","DOIUrl":"10.1016/j.enconman.2024.119264","url":null,"abstract":"<div><div>Hydrotreated vegetable oil (HVO) is becoming a widely accepted renewable drop-in alternative fuel to diesel. However, conventional diesel combustion does not fully exploit HVO’s superior physicochemical parameters. Its high cetane index should significantly improve the performance and emission of next-generation, dual-fuel, reactivity-controlled compression ignition (RCCI) engines. These have a promising future in marine and off-road sectors. This study is the first comprehensive verification of HVO’s benefits towards achieving superior RCCI combustion with natural gas. It used a sophisticated, single-cylinder research engine with a fully controllable air/fuel paths, calibrated in conventional compression ignition mode. The calibration experiments in a corresponding RCCI setpoint covered the cross-sensitivity of high-reactivity fuels (HVO and diesel) to boost pressure, excess air ratio, exhaust gas recirculation and start of injection, investigated at 85 % and 93 % energy-based blending ratios with natural gas. Extensive measurement instrumentation provided combustion and emission characterisation, enabling observations regarding both the phenomenology and applied potential of HVO-activated RCCI. Best performance was observed at the boundary of mixture dilution, restricted by the misfire or combustion variability limits. High reactivity of HVO allows for extending combustion stability limits, enabling increasing both, the local dilution (earlier injection timings) and the global dilution (higher mixture strengths or higher exhaust recirculation ratios). Calibrated along these phenomenological outcomes, HVO and diesel allow achieving efficiency over 2 percentage points superior in RCCI mode, compared to conventional diesel reference. With HVO, RCCI can be calibrated to comfortably meet EPA Tier 4 emission limits in all legislated species, without aftertreatment. Particular merits are in NO_X reduction, for which the best case HVO-RCCI tested at 0.7 g/kWh vs 2.8 g/kWh of diesel-RCCI. HVO further cuts down methane slip by more than 45 %, while PM emissions for RCCI are generally measured ultra-low. Corresponding conventional diesel reference exceeds the EPA NO_X and PM limits by respectively 1500 % and 400 %.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"323 ","pages":"Article 119264"},"PeriodicalIF":9.9,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655902","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}

{"title":"Numerical and experimental investigation of a two-stage thermochemical water-splitting reactor based on a cerium oxide reduction–oxidation cycle","authors":"Paula Rojas,&nbsp;Nicolás Alegría,&nbsp;Mario Toledo","doi":"10.1016/j.enconman.2024.119217","DOIUrl":"10.1016/j.enconman.2024.119217","url":null,"abstract":"<div><div>Climate change has made clear the need to decarbonize the global energy matrix, and green hydrogen has emerged as a promising alternative fuel. In this framework, this work investigates the green hydrogen production by means of a two-stage thermochemical water-splitting reactor heated by both a parabolic dish receiver and a photovoltaic heater. A mathematical model is proposed to simulate reduction–oxidation process for the solar-powered reactor composed of a porous cerium oxide medium. Experimental and numerical thermal profiles show good agreement, with a high temperature in the reduction stage (&gt;1100 K) and a lower temperature in the oxidation stage (860–715 K). Green hydrogen productions show maximum values close to 100 ppm and 2000 <span><math><mrow><mi>μ</mi><mi>m</mi><mi>o</mi><msub><mi>l</mi><mrow><msub><mi>H</mi><mn>2</mn></msub><mi>O</mi></mrow></msub><mo>/</mo><msub><mi>g</mi><mrow><mi>C</mi><mi>e</mi><msub><mi>O</mi><mn>2</mn></msub></mrow></msub></mrow></math></span>, for experimental and numerical tests, respectively. It is concluded that the photovoltaic heater is more relevant than the solar concentration heater, and that green hydrogen production could be improved by allowing longer residence times for the reduction–oxidation stages.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"323 ","pages":"Article 119217"},"PeriodicalIF":9.9,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637525","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":"An open and cost-effective bottom-up engineering model for comprehensive disaggregation of residential energy consumption in developing countries","authors":"Pedro Chévez","doi":"10.1016/j.enconman.2024.119216","DOIUrl":"10.1016/j.enconman.2024.119216","url":null,"abstract":"<div><div>In the coming years, a major challenge for developing countries will be gaining a deep understanding of their residential energy consumption. This knowledge is crucial for designing targeted energy policies, as accurate insights can guide subsidy allocation, manage consumption, reduce dependence on imports, and address energy shortages. While various methods exist for disaggregating consumption in this sector, countries should prioritize those that are both straightforward for their staff to implement and affordable. This work proposes that a universal, open, and cost-effective bottom-up engineering model, based on a synthetic energy questionnaire and methods for estimating missing variables, can accurately estimate residential energy consumption for a country/region, particularly in those lacking detailed statistical data. This model was applied to an “equipment dataset” from the 2017/2018 Argentine <em>National Household Expenditure Survey</em> and validated on both monthly and annual basis, without the need for individual data collection. It enables the characterization of energy consumption disaggregated by province, by user income segments, by energy sources, by end uses and by month. The case study’s main findings reveal significant energy inequalities among Argentine households, with higher-income households consuming between 39.35% and 90.71% more energy than lower-income households. This work highlights the effectiveness of bottom-up sample models when paired with appropriate methods for estimating uncollected data. A key innovation lies in the model’s open nature, which was designed for universal applicability across climate variables, allowing for easy replication in other studies.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"323 ","pages":"Article 119216"},"PeriodicalIF":9.9,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637527","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 photovoltaic power probabilistic forecasting model based on monotonic quantile convolutional neural network and multi-objective optimization","authors":"Jianhua Zhu ,&nbsp;Yaoyao He","doi":"10.1016/j.enconman.2024.119219","DOIUrl":"10.1016/j.enconman.2024.119219","url":null,"abstract":"<div><div>Photovoltaic (PV) power probabilistic forecasting that provides decision makers with probabilistic information and ranges of PV power generation is critical to the power system. Existing studies have demonstrated that QR-based nonlinear models can generate probability distributions directly from historical data. However, the accuracy of these methods may be degraded when confronting with PV power at high latitude meteorological factors and they inherently have flaws in the model structure and loss function. This paper proposes a novel approach called monotonic quantile convolutional neural network-multi-layer nondominated fast sort genetic algorithm II (MQCNN-MLNSGAII) for solving these challenges. MQCNN first uses the convolutional structure to extract the valid deep features from the high latitude factor, and then designs a monotonic quantile structure to output monotonically increasing probability distributions at once. Considering the high impact of the probability distribution width on the quality of the forecasting, we design two loss functions, average quantile loss (AQS) and quantile distribution average width (QDAW), based on multi-objective optimization (MOO) to balance the reliability and width. Finally, a novel multi-objective evolutionary algorithm (MOEA), MLNSGAII, is proposed for training MQCNN. It develops a multi-layer mechanism based on global and historical information to assist the algorithm in generating diverse offspring and improve the performance in convergence and diversity. Compared to the benchmark models, the proposed model achieves significant strengths in the real Australian dataset.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"323 ","pages":"Article 119219"},"PeriodicalIF":9.9,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655895","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":"Optimization of 2G ethanol production from sugarcane bagasse: Upscaling of soda pretreatment with redox mediator followed by fed-batch enzymatic hydrolysis and co-fermentation","authors":"Elisa da Silva Barreto ,&nbsp;Yasmim Arantes da Fonseca ,&nbsp;Oscar Fernando Herrera Adarme ,&nbsp;Débora Faria Silva ,&nbsp;Rogélio Lopes Brandão ,&nbsp;Bruno Eduardo Lobo Baêta ,&nbsp;Valéria Monteze Guimarães ,&nbsp;Leandro Vinícius Alves Gurgel","doi":"10.1016/j.enconman.2024.119225","DOIUrl":"10.1016/j.enconman.2024.119225","url":null,"abstract":"<div><div>This study presents the upscaling of soda pretreatment of sugarcane bagasse (SB) using a new redox mediator (2-hydroxynaphthalene-1,4-dione) obtained from renewable resources, which does not affect enzymatic hydrolysis and fermentation. Upscaling was performed from a 0.5 L batch static stainless steel reactor to a 20 L pulp digester with forced liquor circulation, analogous to digestors used in the pulp and paper industry. Enzymatic hydrolysis of the pretreated material was optimized using the fed-batch method and was then carried out on a larger scale. The fed-batch method, combined with addition of 1 % (v v⁻¹) Tween 80, enabled the solids load to be increased from 10 % to 15 % (w v⁻¹), with an enzyme load of only 3.00 FPU g⁻¹. This led to a maximum total reducing sugars concentration of ∼142 g L⁻¹ after 72 h of hydrolysis. Co-fermentation of C5 and C6 sugar-rich hydrolysate by a consortium of CERLEV 47 (<em>Saccharomyces cerevisiae</em>) and CERLEV 1015 (<em>Pichia guilliermondii</em>) led to a maximum 2G ethanol production of 61.3 g L⁻¹ (308 L ethanol per ton of SB). Mass and energy balances demonstrated that the combustion of black liquor, a byproduct of the soda pretreatment, could satisfy the energy demands of the pretreatment, enzymatic hydrolysis, and fermentation, with an energy of 21.11 MJ using the surplus SB (80 %) from 1G ethanol production. This finding indicated that the developed process was robust and had the potential to enhance total 2G ethanol production. This study supports the feasibility of an integrated 1G/2G biorefinery by improving energy efficiency, economic viability, and environmental sustainability.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"323 ","pages":"Article 119225"},"PeriodicalIF":9.9,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655894","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":"Improving short-term photovoltaic power forecasting with an evolving neural network incorporating time-varying filtering based on empirical mode decomposition","authors":"Mokhtar Ghodbane ,&nbsp;Naima El-Amarty ,&nbsp;Boussad Boumeddane ,&nbsp;Fayaz Hussain ,&nbsp;Hakim El Fadili ,&nbsp;Saad Dosse Bennani ,&nbsp;Mohamed Akil","doi":"10.1016/j.enconman.2024.119261","DOIUrl":"10.1016/j.enconman.2024.119261","url":null,"abstract":"<div><div>Accurately forecasting photovoltaic power generation is essential for the efficient integration of renewable energy into power grids. This paper presents a novel, high-accuracy framework for short-term photovoltaic productivity forecasting, tailored to the climatic conditions of the Algerian region of El-Oued. The framework automatically adapts the neural network forecast using a nature-inspired algorithm, eliminating the need for manual adjustments. It first addresses the complex, non-stationary nature of photovoltaic generation by incorporating a time-varying filter based on empirical mode decomposition, which decomposes the original photovoltaic data into multiple low-frequency components. Particle swarm optimization is then applied to enhance key elements of the framework, including the neural network structure and input variables such as the extracted components of photovoltaic data and weather parameters, along with their historical values. This optimization process efficiently identifies the near-optimal model structure, resulting in an improved forecaster whose performance is validated using real-world data measured in El-Oued. The proposed framework demonstrates impressive accuracy, with a Normalized Root Mean Squared Error ranging from 2.96% to 4.8% for annual forecasts, 2.28% for summer forecasts, and 4.97% for generalization ability. Similarly, the Normalized Mean Absolute Error ranges from 1.89% to 2.89% for annual forecasts, 1.61% for summer forecasts, and 3.76% for generalization ability. The correlation coefficient is outstanding, between 99.9% and 99.96% for annual forecasts, reaching 99.97% for summer forecasts, and 99.67% for generalization ability. The study confirms the effectiveness of the proposed framework in enhancing network stability and power distribution.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"323 ","pages":"Article 119261"},"PeriodicalIF":9.9,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655850","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":"Thermochemical liquefaction of thermoplastic into fuel using toluene: Product distribution and behaviour","authors":"Poh Ai Saw ,&nbsp;Abdul Patah Muhamad Fazly ,&nbsp;Wan Mohd Ashri Wan Daud ,&nbsp;Zulhelmi Amir ,&nbsp;Dania Qarrina Azman ,&nbsp;Nurul Izzah Ahamed Kameel","doi":"10.1016/j.enconman.2024.119259","DOIUrl":"10.1016/j.enconman.2024.119259","url":null,"abstract":"<div><div>The escalating accumulation of plastic waste presents a critical environmental challenge due to its resistance to degradation. Liquefaction, a thermochemical conversion process, emerges as a promising solution to convert plastic waste into valuable resources like fuel. The objective of this study was to investigate the behaviour of plastic polymer degradation in solvothermal liquefaction. This study comprehensively examines the liquefaction processes HDPE, LDPE, PS, and PP under 350–400 °C conditions and 30–90 min reaction times, using toluene as a solvent in an autoclave batch reactor. The results indicate that temperature significantly impacts liquefaction efficiency, with the following sequence: PS &gt; PP &gt; LDPE &gt; HDPE. The liquefied products exhibit high heating values (HHV) of 40–44 MJ/kg, with viscosity and density comparable to gasoline and diesel. GC–MS and FTIR analyses reveal a composition rich in olefins, paraffins, and aromatics, producing carbon chain lengths from C₆ to C₂₀, aligning with conventional fuel. Finally, the mechanism of liquefaction for the polymers is proposed based on the chemical components found.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"323 ","pages":"Article 119259"},"PeriodicalIF":9.9,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655900","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}