Sustainable Energy Technologies and Assessments最新文献

Strategy recommendations for minimizing economic inequalities increased by renewable energy investments regarding sustainable development

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2025-02-05 DOI: 10.1016/j.seta.2025.104225

Hakan Kalkavan , Serhat Yüksel , Serkan Eti , Hasan Dinçer , Alexey Mikhaylov , Gabor Pinter

Renewable energy investments provide significant benefits for countries. However, these investments may also create some problems that lead to economic inequality, such as harming the agricultural area and increasing energy costs. Thus, for the purpose of sustainable economic growth, these problems should be minimized. Nevertheless, it is not optimal for countries to take measures against all these problems because each measure causes countries to make new expenditures. Hence, it is necessary to determine priority measures for this issue so that solutions can be implemented in a more efficient manner. Accordingly, the purpose of this study is to identify appropriate priority strategies to minimize the economic inequality caused by renewable energy investments. A two-stage model has been established within this framework. First, a set of criteria is evaluated with T-Spherical fuzzy TOPSIS-based DEMATEL (T-SF TOP-DEMATEL). Secondly, five different renewable energy alternatives will be examined using the SF MAIRCA method. The findings indicate that environmental damage in renewable energy investments is the most critical issue that leads to economic inequality because it has the greatest weight (0.165934). Additionally, it is also found that hydropower energy creates economic inequality more than other renewable energy types due to lowest Q value (0,011).

{"title":"Strategy recommendations for minimizing economic inequalities increased by renewable energy investments regarding sustainable development","authors":"Hakan Kalkavan , Serhat Yüksel , Serkan Eti , Hasan Dinçer , Alexey Mikhaylov , Gabor Pinter","doi":"10.1016/j.seta.2025.104225","DOIUrl":"10.1016/j.seta.2025.104225","url":null,"abstract":"<div><div>Renewable energy investments provide significant benefits for countries. However, these investments may also create some problems that lead to economic inequality, such as harming the agricultural area and increasing energy costs. Thus, for the purpose of sustainable economic growth, these problems should be minimized. Nevertheless, it is not optimal for countries to take measures against all these problems because each measure causes countries to make new expenditures. Hence, it is necessary to determine priority measures for this issue so that solutions can be implemented in a more efficient manner. Accordingly, the purpose of this study is to identify appropriate priority strategies to minimize the economic inequality caused by renewable energy investments. A two-stage model has been established within this framework. First, a set of criteria is evaluated with T-Spherical fuzzy TOPSIS-based DEMATEL (T-SF TOP-DEMATEL). Secondly, five different renewable energy alternatives will be examined using the SF MAIRCA method. The findings indicate that environmental damage in renewable energy investments is the most critical issue that leads to economic inequality because it has the greatest weight (0.165934). Additionally, it is also found that hydropower energy creates economic inequality more than other renewable energy types due to lowest Q value (0,011).</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"75 ","pages":"Article 104225"},"PeriodicalIF":7.1,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143128165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Full-cycle dynamic security region for the integrated electricity-gas energy systems

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2025-02-01 DOI: 10.1016/j.seta.2025.104171

Zehua Yin , Xiaoqing Han , Tingjun Li , Xinfang Zhang

The growing interdependence of the electric power system (EPS) and the natural gas system (NGS) has led to frequent cascading failures between the two systems in recent years. The study of the security region for the integrated electric and gas system (IEGS) is the key approach to prevent such incidents. However, the security region method is developed based on the static operating characteristics of the EPS, which limits its applicability to the IEGS with dynamic gas flow and line-pack storage characteristics. To address this issue, this paper proposes the concept of the dynamic security region (DSR) for the IEGS, and develops a set of DSR optimization models, which are capable of accurately portraying the dynamic evolution of the IEGS safety margin with gas flow diffusion. The DSR is founded upon the high-accuracy dynamic gas flow model, which is solved using a three-stage leapfrog finite difference method (TL-FDM). An improved orbital rotation method is proposed to approximate the DSR boundary. On this basis, a full-cycle DSR rolling optimization solution algorithm is developed. Case Studies demonstrate the effectiveness of the proposed method and verify that it significantly improves the reliability of the system operation.

{"title":"Full-cycle dynamic security region for the integrated electricity-gas energy systems","authors":"Zehua Yin , Xiaoqing Han , Tingjun Li , Xinfang Zhang","doi":"10.1016/j.seta.2025.104171","DOIUrl":"10.1016/j.seta.2025.104171","url":null,"abstract":"<div><div>The growing interdependence of the electric power system (EPS) and the natural gas system (NGS) has led to frequent cascading failures between the two systems in recent years. The study of the security region for the integrated electric and gas system (IEGS) is the key approach to prevent such incidents. However, the security region method is developed based on the static operating characteristics of the EPS, which limits its applicability to the IEGS with dynamic gas flow and line-pack storage characteristics. To address this issue, this paper proposes the concept of the dynamic security region (DSR) for the IEGS, and develops a set of DSR optimization models, which are capable of accurately portraying the dynamic evolution of the IEGS safety margin with gas flow diffusion. The DSR is founded upon the high-accuracy dynamic gas flow model, which is solved using a three-stage leapfrog finite difference method (TL-FDM). An improved orbital rotation method is proposed to approximate the DSR boundary. On this basis, a full-cycle DSR rolling optimization solution algorithm is developed. Case Studies demonstrate the effectiveness of the proposed method and verify that it significantly improves the reliability of the system operation.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"74 ","pages":"Article 104171"},"PeriodicalIF":7.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143135988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Energy harvesting technologies on high-speed railway infrastructure: Review and comparative analysis of the potential and practicality

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2025-02-01 DOI: 10.1016/j.seta.2025.104187

Wenjing Sun , David J. Thompson , Daniil Yurchenko , Dong Zhao , Zhenhua Luo , Irfan Khan

A comprehensive quantitative analysis is provided of the potential applications of energy harvesting (EH) technologies tailored to high-speed railway infrastructure. The study compares the various energy sources within railway infrastructure and identifies suitable EH technologies. Feasible designs and scales of EH are assessed based on the installation location; the overall power availability and energy yield are compared for a notional high-speed railway. For resonant EH devices an assessment is also given of the optimal tuning frequency. Vibration-based EH, when applied to the track or bridge structures, can provide sufficient power for individual low-power sensors; however, its output is insufficient for higher-power applications or for data transmission unless energy storage devices are incorporated. Despite the elevated noise levels generated by high-speed trains, the energy available from this acoustic source is negligible and impractical for EH. Small vertical axis wind turbines installed close to the track and driven by passing trains show great potential, capable of harvesting several orders of magnitude more energy than vibration-based EH. Solar photovoltaic panels can generate significantly more energy than other methods, although their output is confined to daylight conditions and is contingent upon weather conditions.

{"title":"Energy harvesting technologies on high-speed railway infrastructure: Review and comparative analysis of the potential and practicality","authors":"Wenjing Sun , David J. Thompson , Daniil Yurchenko , Dong Zhao , Zhenhua Luo , Irfan Khan","doi":"10.1016/j.seta.2025.104187","DOIUrl":"10.1016/j.seta.2025.104187","url":null,"abstract":"<div><div>A comprehensive quantitative analysis is provided of the potential applications of energy harvesting (EH) technologies tailored to high-speed railway infrastructure. The study compares the various energy sources within railway infrastructure and identifies suitable EH technologies. Feasible designs and scales of EH are assessed based on the installation location; the overall power availability and energy yield are compared for a notional high-speed railway. For resonant EH devices an assessment is also given of the optimal tuning frequency. Vibration-based EH, when applied to the track or bridge structures, can provide sufficient power for individual low-power sensors; however, its output is insufficient for higher-power applications or for data transmission unless energy storage devices are incorporated. Despite the elevated noise levels generated by high-speed trains, the energy available from this acoustic source is negligible and impractical for EH. Small vertical axis wind turbines installed close to the track and driven by passing trains show great potential, capable of harvesting several orders of magnitude more energy than vibration-based EH. Solar photovoltaic panels can generate significantly more energy than other methods, although their output is confined to daylight conditions and is contingent upon weather conditions.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"74 ","pages":"Article 104187"},"PeriodicalIF":7.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143136024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Novel technologies for the sustainable development of energy, water and environmental systems

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2025-02-01 DOI: 10.1016/j.seta.2025.104192

Vid Zuljan, Hrvoje Mikulčić, Adolfo Palombo, Tine Seljak

Environmental crisis is becoming an increasingly important topic with urgent solutions required to mitigate climate changes and eventually reverse them in a positive direction. Several different policies have been adopted recently throughout the world in an effort to follow Sustainable Development Goals. The International Centre for Sustainable Development of Energy, Water and Environment Systems (SDEWES) is one of the leading organizations aiming to improve and disseminate knowledge on methods, policies and technologies for increasing the transition by de-coupling growth from natural resources and introducing knowledge-based economy, while including economic, environmental and social sectors. SDEWES is holding yearly conferences, where scholars from all over the world gather to exchange information, present new ideas and form working partnerships with a common goal of developing novel technologies for sustainable development of energy, water and environment systems. The current Virtual Special Issue (VSI) of the Sustainable Energy Technologies and Assessments is dedicated to the SDEWES 2023 conference in Dubrovnik, which brought together 646 scientists, researchers and experts in the field of sustainable development from 58 countries and six continents. This editorial covers the papers accepted in the SETA VSI edition for the 2023 SDEWES conference. The papers represent thorough investigations on the latest technology advancements and methodological approaches aimed to move towards a sustainable energy use and reduce its environmental impact in the area of sustainable energy and material efficiency. Only high-quality archival papers from the conference, rigorously chosen based on scientific quality standards of the Journal, were accepted.

{"title":"Novel technologies for the sustainable development of energy, water and environmental systems","authors":"Vid Zuljan, Hrvoje Mikulčić, Adolfo Palombo, Tine Seljak","doi":"10.1016/j.seta.2025.104192","DOIUrl":"10.1016/j.seta.2025.104192","url":null,"abstract":"<div><div>Environmental crisis is becoming an increasingly important topic with urgent solutions required to mitigate climate changes and eventually reverse them in a positive direction. Several different policies have been adopted recently throughout the world in an effort to follow Sustainable Development Goals. The International Centre for Sustainable Development of Energy, Water and Environment Systems (SDEWES) is one of the leading organizations aiming to improve and disseminate knowledge on methods, policies and technologies for increasing the transition by de-coupling growth from natural resources and introducing knowledge-based economy, while including economic, environmental and social sectors. SDEWES is holding yearly conferences, where scholars from all over the world gather to exchange information, present new ideas and form working partnerships with a common goal of developing novel technologies for sustainable development of energy, water and environment systems. The current Virtual Special Issue (VSI) of the Sustainable Energy Technologies and Assessments is dedicated to the SDEWES 2023 conference in Dubrovnik, which brought together 646 scientists, researchers and experts in the field of sustainable development from 58 countries and six continents. This editorial covers the papers accepted in the SETA VSI edition for the 2023 SDEWES conference. The papers represent thorough investigations on the latest technology advancements and methodological approaches aimed to move towards a sustainable energy use and reduce its environmental impact in the area of sustainable energy and material efficiency. Only high-quality archival papers from the conference, rigorously chosen based on scientific quality standards of the Journal, were accepted.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"74 ","pages":"Article 104192"},"PeriodicalIF":7.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143136029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

A framework to investigate charger capacity utilization and network voltage profile through residential EV charging data clustering

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2025-02-01 DOI: 10.1016/j.seta.2024.104141

Kazi N. Hasan , Mir Toufikur Rahman , Cameron Terrill , Ryan McLean , Rohan Rodricks , Abhay Sharma , Asif Islam

A significant increase in the adoption of electric vehicles (EVs) is expected over the next decade. Hence, an investigation of the potential impact of EVs on the electricity grid is critical. This paper presents a framework for grid impact analysis of residential EVs using time series clustering (to perform sequential simulation) and discrete clustering (to estimate peak EV power consumption). This paper employs four clustering techniques, which are (i) K-means, (ii) hierarchical, (iii) DBSCAN, and (iv) fuzzy c-means, by analyzing 348 EV customers’ charging data. Clustering techniques have been implemented in Python, and power flow simulations have been performed using MATLAB/MATPOWER software. The results demonstrated daily and weekly EV profile clusters and EV charger utilization factors. The clustered EV profiles have been passed through to the power flow simulation to identify the network voltage violations. In the daily and weekly clusters, both K-means and hierarchical methods have two dominant clusters having 30 to 40% customers and two minor clusters with 10 to 20% customers. On the other hand, DBSCAN has one dominant cluster (in daily profile) with around 70% customers — as this method is used for anomaly detection. The fuzzy c-means has four almost similar clusters with around 25% customers. The abovementioned trend is evident in the network voltage violation heatmaps having more voltage violations in the weekdays evening (5:00 to 8:00 PM).

{"title":"A framework to investigate charger capacity utilization and network voltage profile through residential EV charging data clustering","authors":"Kazi N. Hasan , Mir Toufikur Rahman , Cameron Terrill , Ryan McLean , Rohan Rodricks , Abhay Sharma , Asif Islam","doi":"10.1016/j.seta.2024.104141","DOIUrl":"10.1016/j.seta.2024.104141","url":null,"abstract":"<div><div>A significant increase in the adoption of electric vehicles (EVs) is expected over the next decade. Hence, an investigation of the potential impact of EVs on the electricity grid is critical. This paper presents a framework for grid impact analysis of residential EVs using time series clustering (to perform sequential simulation) and discrete clustering (to estimate peak EV power consumption). This paper employs four clustering techniques, which are (i) K-means, (ii) hierarchical, (iii) DBSCAN, and (iv) fuzzy c-means, by analyzing 348 EV customers’ charging data. Clustering techniques have been implemented in Python, and power flow simulations have been performed using MATLAB/MATPOWER software. The results demonstrated daily and weekly EV profile clusters and EV charger utilization factors. The clustered EV profiles have been passed through to the power flow simulation to identify the network voltage violations. In the daily and weekly clusters, both K-means and hierarchical methods have two dominant clusters having 30 to 40% customers and two minor clusters with 10 to 20% customers. On the other hand, DBSCAN has one dominant cluster (in daily profile) with around 70% customers — as this method is used for anomaly detection. The fuzzy c-means has four almost similar clusters with around 25% customers. The abovementioned trend is evident in the network voltage violation heatmaps having more voltage violations in the weekdays evening (5:00 to 8:00 PM).</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"74 ","pages":"Article 104141"},"PeriodicalIF":7.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143136030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Kaya factor decomposition assessment of energy-related carbon dioxide emissions in Spain: A multi-period and multi-sector approach

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2025-02-01 DOI: 10.1016/j.seta.2024.104156

Juan David Rivera-Niquepa , Jose M. Yusta , Paulo M. De Oliveira-De Jesus

Understanding the underlying factors causing changes in energy-related carbon dioxide (CO₂) emissions is crucial for informed policymaking, particularly at the sectoral level. The research background has employed divisia index methods to analyze CO₂ from fossil fuel combustion emissions and identify their constituent components associated with specific drivers within defined time frames. Although these analyses have accounted single-period, multi-period, and cumulative year-by-year frames, none considered the changes in emission trends to determine suitable decomposition periods for sectoral level analysis. Incorporating shifts in emission trends is essential for precise driver identification. This study introduced a comprehensive methodology for detailed and disaggregated decomposition at the sectoral level. Our approach selected decomposition periods based on aggregate energy-related CO₂ emission trends. To achieve this, we employed an algorithm that minimizes the total mean square error for period selection. For the decomposition process, we applied the logarithmic mean divisia index method (LMDI) to the Kaya factors governing energy-related CO₂ emissions of the Spanish economy. Additionally, we explored various levels of disaggregation within seven sectors from economy related to energy consumption. Through this analysis, we identified and scrutinized six decomposition periods from 1995 to 2020. Our findings highlight the substantial effects of electricity and heat, transportation, and industry sectors. We identified opportunities for reducing energy intensity, carbon intensity and, in some cases, structural factors associated with economic activities contributing to emissions. This methodology offers a more straightforward interpretation of results and establishes a basic time frame for decomposition analysis at a granular level of disaggregation.

{"title":"Kaya factor decomposition assessment of energy-related carbon dioxide emissions in Spain: A multi-period and multi-sector approach","authors":"Juan David Rivera-Niquepa , Jose M. Yusta , Paulo M. De Oliveira-De Jesus","doi":"10.1016/j.seta.2024.104156","DOIUrl":"10.1016/j.seta.2024.104156","url":null,"abstract":"<div><div>Understanding the underlying factors causing changes in energy-related carbon dioxide (CO<sub>2</sub>) emissions is crucial for informed policymaking, particularly at the sectoral level. The research background has employed divisia index methods to analyze CO<sub>2</sub> from fossil fuel combustion emissions and identify their constituent components associated with specific drivers within defined time frames. Although these analyses have accounted single-period, multi-period, and cumulative year-by-year frames, none considered the changes in emission trends to determine suitable decomposition periods for sectoral level analysis. Incorporating shifts in emission trends is essential for precise driver identification. This study introduced a comprehensive methodology for detailed and disaggregated decomposition at the sectoral level. Our approach selected decomposition periods based on aggregate energy-related CO<sub>2</sub> emission trends. To achieve this, we employed an algorithm that minimizes the total mean square error for period selection. For the decomposition process, we applied the logarithmic mean divisia index method (LMDI) to the Kaya factors governing energy-related CO<sub>2</sub> emissions of the Spanish economy. Additionally, we explored various levels of disaggregation within seven sectors from economy related to energy consumption. Through this analysis, we identified and scrutinized six decomposition periods from 1995 to 2020. Our findings highlight the substantial effects of electricity and heat, transportation, and industry sectors. We identified opportunities for reducing energy intensity, carbon intensity and, in some cases, structural factors associated with economic activities contributing to emissions. This methodology offers a more straightforward interpretation of results and establishes a basic time frame for decomposition analysis at a granular level of disaggregation.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"74 ","pages":"Article 104156"},"PeriodicalIF":7.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143136430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

NH3/coal co-firing: Effects on N transfer, char combustion, and ash transformation via TG-FTIR experiments

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2025-02-01 DOI: 10.1016/j.seta.2024.104168

Youxing Wei , Zhongya Xi , Yueyue Xia , Jianfeng Cai , Zhenghui Li , Zhimin Lu , Shunchun Yao

The innovative approach of using carbon-free NH₃ co-firing with pulverized coal to reduce the CO₂ emission of thermal power plants has drawn increasing attention. Understanding the complex gas–solid interactions among NH₃, volatiles and char combustion is crucial for developing the NH₃/coal co-firing technology. In this study, the TG-FTIR technique was used to systematically reveal the influence of NH₃ existence on the entire process of coal pyrolysis-combustion, where the co-pyrolysis behavior, the evolution of N-containing species, the kinetic analysis of char combustion, and the physical and chemical properties of coal ash were investigated. The results show that NH₃ mixing can promote the volatile release and char refinement, enhance the NH₃ adsorption capacity on the char surface, and significantly improve the physicochemical properties of char. Meanwhile, it is found that the quaternary-N content of char increases by up to 31.30% as the NH₃ mixing ratio increases from 5% to 50%, while the pyridine-N exhibits the opposite trend, with a maximum reduction of 48.20%. These changes effectively lower the combustion characteristic temperature and activation energy, thereby improving combustion efficiency. Furthermore, NH₃ existence changes the composition and structure of coal ash, facilitates the deconstruction of inorganic functional groups, increases the reactive sites of Al-OH, and optimizes the surface pore structure and iron enrichment of coal particles. This mixed NH₃ pre-pyrolysis and char combustion process provides novel insights for NH₃/coal co-firing technology.

{"title":"NH3/coal co-firing: Effects on N transfer, char combustion, and ash transformation via TG-FTIR experiments","authors":"Youxing Wei , Zhongya Xi , Yueyue Xia , Jianfeng Cai , Zhenghui Li , Zhimin Lu , Shunchun Yao","doi":"10.1016/j.seta.2024.104168","DOIUrl":"10.1016/j.seta.2024.104168","url":null,"abstract":"<div><div>The innovative approach of using carbon-free NH<sub>3</sub> co-firing with pulverized coal to reduce the CO<sub>2</sub> emission of thermal power plants has drawn increasing attention. Understanding the complex gas–solid interactions among NH<sub>3</sub>, volatiles and char combustion is crucial for developing the NH<sub>3</sub>/coal co-firing technology. In this study, the TG-FTIR technique was used to systematically reveal the influence of NH<sub>3</sub> existence on the entire process of coal pyrolysis-combustion, where the co-pyrolysis behavior, the evolution of N-containing species, the kinetic analysis of char combustion, and the physical and chemical properties of coal ash were investigated. The results show that NH<sub>3</sub> mixing can promote the volatile release and char refinement, enhance the NH<sub>3</sub> adsorption capacity on the char surface, and significantly improve the physicochemical properties of char. Meanwhile, it is found that the quaternary-N content of char increases by up to 31.30% as the NH<sub>3</sub> mixing ratio increases from 5% to 50%, while the pyridine-N exhibits the opposite trend, with a maximum reduction of 48.20%. These changes effectively lower the combustion characteristic temperature and activation energy, thereby improving combustion efficiency. Furthermore, NH<sub>3</sub> existence changes the composition and structure of coal ash, facilitates the deconstruction of inorganic functional groups, increases the reactive sites of Al-OH, and optimizes the surface pore structure and iron enrichment of coal particles. This mixed NH<sub>3</sub> pre-pyrolysis and char combustion process provides novel insights for NH<sub>3</sub>/coal co-firing technology.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"74 ","pages":"Article 104168"},"PeriodicalIF":7.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143136438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Fault diagnosis of the hybrid system composed of proton exchange membrane fuel cells and ammonia-hydrogen fueled internal combustion engines under adaptive power allocation strategies

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2025-02-01 DOI: 10.1016/j.seta.2025.104175

Cong-Lei Zhang , Ben-Xi Zhang , Zhang-Liang Chen , Jiang-Hai Xu , Xiu-Yan Zheng , Kai-Qi Zhu , Yu-Lin Wang , Yan-Ru Yang , Xiao-Dong Wang

Based on the complementary efficiency characteristic of PEMFCs and ammonia-hydrogen fueled internal combustion engines (AHICEs), an adaptive power allocation strategy is proposed by this paper to enhance the efficiency of hybrid systems in a wide load range from 0 to 500 kW. With the increased load from 0 to 500 kW, the fault diagnosis of hybrid systems is implemented by a robust diagnostic method for single-fault/hybrid-fault states, where the robust diagnostic method is composed of the multi-scale convolutional neural network (MCNN) and the bi-directional long short-term memory (BiLSTM) neural network. The diagnostic results show that the diagnosis accuracy is 97.5 % for single-fault states of AHICEs, 99.1 % for single-fault states of PEMFCs, 95.76 % for hybrid-fault states of hybrid systems respectively. Based on that fact, the diagnosis accuracy of MCNN-BiLSTM methods is higher than that of widely employed diagnosis methods, attributing to the enhanced capability of feature extraction and temporal processing. Here these employed methods consist of the support vector machine (SVM), gated recurrent unit (GRU), MCNN-least squares support vector machine (MCNN-LSSVM) and MCNN-long short-term memory neural network (MCNN-LSTM).

{"title":"Fault diagnosis of the hybrid system composed of proton exchange membrane fuel cells and ammonia-hydrogen fueled internal combustion engines under adaptive power allocation strategies","authors":"Cong-Lei Zhang , Ben-Xi Zhang , Zhang-Liang Chen , Jiang-Hai Xu , Xiu-Yan Zheng , Kai-Qi Zhu , Yu-Lin Wang , Yan-Ru Yang , Xiao-Dong Wang","doi":"10.1016/j.seta.2025.104175","DOIUrl":"10.1016/j.seta.2025.104175","url":null,"abstract":"<div><div>Based on the complementary efficiency characteristic of PEMFCs and ammonia-hydrogen fueled internal combustion engines (AHICEs), an adaptive power allocation strategy is proposed by this paper to enhance the efficiency of hybrid systems in a wide load range from 0 to 500 kW. With the increased load from 0 to 500 kW, the fault diagnosis of hybrid systems is implemented by a robust diagnostic method for single-fault/hybrid-fault states, where the robust diagnostic method is composed of the multi-scale convolutional neural network (MCNN) and the bi-directional long short-term memory (BiLSTM) neural network. The diagnostic results show that the diagnosis accuracy is 97.5 % for single-fault states of AHICEs, 99.1 % for single-fault states of PEMFCs, 95.76 % for hybrid-fault states of hybrid systems respectively. Based on that fact, the diagnosis accuracy of MCNN-BiLSTM methods is higher than that of widely employed diagnosis methods, attributing to the enhanced capability of feature extraction and temporal processing. Here these employed methods consist of the support vector machine (SVM), gated recurrent unit (GRU), MCNN-least squares support vector machine (MCNN-LSSVM) and MCNN-long short-term memory neural network (MCNN-LSTM).</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"74 ","pages":"Article 104175"},"PeriodicalIF":7.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143135942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Novel approaches to optimize the layouts of solar photovoltaic and wind power systems to improve their performance considering limited land availability and site-specific features

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2025-02-01 DOI: 10.1016/j.seta.2025.104189

Mohammad H. Al-Khayat , Majed AL-Rasheedi , Yousef S. Al-Qattan

Research on strategic land-use planning is crucial for successful implementation of renewable energy projects and a shift towards sustainable energy sources. The main objective of this work is to provide novel approaches to increase the energy output of solar photovoltaic (PV) and wind power systems by optimizing land utilization, while considering relevant parameters. The optimization of both technologies has been accomplished by simulations and statistical correlations. The relationships between land-use and loss of system’s configuration, energy output, installed capacity, and other factors result in an optimum architecture that considers land-use. The second objective is to explore the potential of system capacities and energy in the specific regions outlined in the 2040 Kuwait Master Plan through the implementation of these approaches. Upon implementing the approaches, the findings indicated that by utilizing the entire regions for RES, the country is limited to around 41% of its annual energy demand from RES by the year 2060. Solar PV systems exhibit maximum energy density in terms of installed capacity but possess the lowest capacity credit and energy yield compared to wind energy. It’s found that no individual technology can achieve the most favorable outcomes in terms of energy generation, capacity credit, residual load, and over-production.

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引用次数: 0

Evaluation of wet torrefaction hydrochars as fuel for chemical looping combustion

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2025-02-01 DOI: 10.1016/j.seta.2025.104174

Frederick Jit Fook Phang , Yu Si Wang , Jiuan Jing Chew , Yee Ho Chai , Deni Shidqi Khaerudini , Suchithra Thangalazhy-Gopakumar , Jaka Sunarso

This study evaluated the potential of wet torrefied hydrochars as fuel in chemical looping combustion. Wet torrefaction of empty fruit bunches and oil palm trunks was performed at 180 and 220 °C for durations of 15 to 30 min at the biomass-to-liquid ratio of 1:25. Additionally, the effect of levulinic acid as the catalyst at different concentrations (0.1 and 1.0 M) was investigated to assess the acid catalysed hydrochars’ potential as fuel in chemical looping combustion. Characteristics of the hydrochars were elucidated to provide insights into their physical and chemical properties. The chemical looping combustion was simulated using thermogravimetric-mass spectrometry under oxidative conditions to replicate the fuel reaction phase of chemical looping combustion by oxygen carriers. Wet torrefaction of empty fruit bunches (EFB) and oil palm trunks (OPT) at 180 °C for 15 min without a catalyst produced hydrochars with high energy yields 62.64 % and 63.16 %, respectively. The hydrochars with the higher energy yield and an equal blend of the two were selected for further analysis using thermogravimetric-mass spectrometry. The thermogravimetric-mass spectrometry analysis revealed positive synergistic effects in the hydrochar blend. This could be attributed to the catalytic influence of metal oxides formed from the ash content during oxidative combustion. Wet torrefaction plays a crucial role in removing metals such as potassium (K), which can assist in reducing corrosion and fouling in the reactor.

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引用次数: 0