Sustainable Energy Technologies and Assessments最新文献

英文中文

Mechanisms of branched chain amino acids promoting growth and lipid accumulation in Camelina sativa seedlings under drought and salt stress

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2025-01-27 DOI: 10.1016/j.seta.2025.104201

Chunhui Zhang , Jian Zhang , Wenzhong Liu , Jingfang Ji , Keyan Zhang , Huimin Li , Yue Feng , Jinai Xue , Chunli Ji , Litao Zhang , Runzhi Li

Drought and salt stress are important limiting factors affecting the growth of crop seedlings. In this study, the oil crop C. sativa was selected as the experimental material. This study investigated the effects of BCAAs (branched chain amino acids, including Leu, Ile, and Val) on plant growth, lipid content, antioxidant enzymes, intracellular substances, and photosynthetic activity of C. sativa. BCAAs at 100 µM concentration, were foliar sprayed separately, along with an equal amount of water, under normal, PEG (0.20 g mL⁻¹), and NaCl (150 mM) conditions. The results illustrated that both PEG and NaCl markedly reduced the total lipid and soluble protein contents, inhibiting the growth of C. sativa seedlings significantly, including a decrease in height, biomass, and chlorophylls. BCAAs supplementation effectively mitigated the detrimental effects of drought and salt. Foliar spraying BCAAs mainly worked by increasing soluble sugars and proteins, enhancing enzymatic activities of antioxidant enzymes, improving photosynthesis parameters (Fv/Fm and Y(II)), thereby promoted lipid accumulation and seedlings growth of C. sativa, with Val showing the best performance. The current study would provide the theoretical basis and technical support for enhancing lipid production and promoting seedling growth of C. sativa to abiotic stress by applying exogenous BCAAs.

{"title":"Mechanisms of branched chain amino acids promoting growth and lipid accumulation in Camelina sativa seedlings under drought and salt stress","authors":"Chunhui Zhang , Jian Zhang , Wenzhong Liu , Jingfang Ji , Keyan Zhang , Huimin Li , Yue Feng , Jinai Xue , Chunli Ji , Litao Zhang , Runzhi Li","doi":"10.1016/j.seta.2025.104201","DOIUrl":"10.1016/j.seta.2025.104201","url":null,"abstract":"<div><div>Drought and salt stress are important limiting factors affecting the growth of crop seedlings. In this study, the oil crop <em>C. sativa</em> was selected as the experimental material. This study investigated the effects of BCAAs (branched chain amino acids, including Leu, Ile, and Val) on plant growth, lipid content, antioxidant enzymes, intracellular substances, and photosynthetic activity of <em>C. sativa</em>. BCAAs at 100 µM concentration, were foliar sprayed separately, along with an equal amount of water, under normal, PEG (0.20 g mL<sup>−1</sup>), and NaCl (150 mM) conditions. The results illustrated that both PEG and NaCl markedly reduced the total lipid and soluble protein contents, inhibiting the growth of <em>C. sativa</em> seedlings significantly, including a decrease in height, biomass, and chlorophylls. BCAAs supplementation effectively mitigated the detrimental effects of drought and salt. Foliar spraying BCAAs mainly worked by increasing soluble sugars and proteins, enhancing enzymatic activities of antioxidant enzymes, improving photosynthesis parameters (Fv/Fm and Y(II)), thereby promoted lipid accumulation and seedlings growth of <em>C. sativa</em>, with Val showing the best performance. The current study would provide the theoretical basis and technical support for enhancing lipid production and promoting seedling growth of <em>C. sativa</em> to abiotic stress by applying exogenous BCAAs.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"75 ","pages":"Article 104201"},"PeriodicalIF":7.1,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143128115","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

Power adaptive control strategy for multi-stack PEM photovoltaic hydrogen systems considering electrolysis unit efficiency and hydrogen production rate

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2025-01-27 DOI: 10.1016/j.seta.2025.104200

Kangle Cheng , Shan He , Bing Hu

To address the issue of low efficiency and hydrogen production caused by prolonged low-power operation in some electrolyzers under fluctuating photovoltaic power in multi-stack hydrogen systems, we propose a power adaptive distribution strategy for Proton Exchange Membrane Electrolyzers. This strategy considers electrolyzer efficiency and hydrogen production, incorporating electrolysis efficiency, Faraday efficiency, auxiliary equipment efficiency, and converter efficiency. The Dung Beetle Optimization algorithm is used for offline calculations, combined with fuzzy PID control for real-time power optimization. A case study based on actual data from a hydrogen project in Turpan, Xinjiang, shows that after 4500 mins of operation in a system with four electrolyzers, the proposed method increases total hydrogen production by 9.94%, 2.34%, and 4.87% compared to traditional average distribution, Daisy chain distribution, and efficiency-based distribution strategies, respectively. Additionally, the strategy reduces the low-power and full-load operation times of the electrolyzers, extending the equipment’s lifespan. This approach provides a new solution for ensuring stable and efficient operation of hydrogen production systems under complex conditions.

{"title":"Power adaptive control strategy for multi-stack PEM photovoltaic hydrogen systems considering electrolysis unit efficiency and hydrogen production rate","authors":"Kangle Cheng , Shan He , Bing Hu","doi":"10.1016/j.seta.2025.104200","DOIUrl":"10.1016/j.seta.2025.104200","url":null,"abstract":"<div><div>To address the issue of low efficiency and hydrogen production caused by prolonged low-power operation in some electrolyzers under fluctuating photovoltaic power in multi-stack hydrogen systems, we propose a power adaptive distribution strategy for Proton Exchange Membrane Electrolyzers. This strategy considers electrolyzer efficiency and hydrogen production, incorporating electrolysis efficiency, Faraday efficiency, auxiliary equipment efficiency, and converter efficiency. The Dung Beetle Optimization algorithm is used for offline calculations, combined with fuzzy PID control for real-time power optimization. A case study based on actual data from a hydrogen project in Turpan, Xinjiang, shows that after 4500 mins of operation in a system with four electrolyzers, the proposed method increases total hydrogen production by 9.94%, 2.34%, and 4.87% compared to traditional average distribution, Daisy chain distribution, and efficiency-based distribution strategies, respectively. Additionally, the strategy reduces the low-power and full-load operation times of the electrolyzers, extending the equipment’s lifespan. This approach provides a new solution for ensuring stable and efficient operation of hydrogen production systems under complex conditions.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"75 ","pages":"Article 104200"},"PeriodicalIF":7.1,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143128117","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

Flying cars and hyperloops: A glimpse into the future sustainable vehicles

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2025-01-27 DOI: 10.1016/j.seta.2025.104196

N.P. Hariram , A. Megalingam , K. Sudhakar

Transportation systems significantly impact the environment, necessitating urgent innovations to mitigate their adverse impacts. This paper presents a comprehensive review of emerging technologies with the potential to revolutionize green mobility across all major sectors: road, rail, water, and air. Key advancements, including electric propulsion, autonomous vehicles, aerial transport (flying cars), and underground systems (hyperloops), are analyzed for their strength and weaknesses. Additionally, the social and environmental implications of these future vehicles are examined. With a focus on sustainability and emissions reduction, this paper aligns with global efforts towards cleaner transportation and climate change mitigation. This approach goes beyond traditional reviews by providing a holistic view of future sustainable transportation systems. By synthesizing current advancements and addressing key challenges, this study offers critical insights to inspire researchers, engineers, and policymakers to develop resilient, sustainable transportation systems for a cleaner and greener future.

{"title":"Flying cars and hyperloops: A glimpse into the future sustainable vehicles","authors":"N.P. Hariram , A. Megalingam , K. Sudhakar","doi":"10.1016/j.seta.2025.104196","DOIUrl":"10.1016/j.seta.2025.104196","url":null,"abstract":"<div><div>Transportation systems significantly impact the environment, necessitating urgent innovations to mitigate their adverse impacts. This paper presents a comprehensive review of emerging technologies with the potential to revolutionize green mobility across all major sectors: road, rail, water, and air. Key advancements, including electric propulsion, autonomous vehicles, aerial transport (flying cars), and underground systems (hyperloops), are analyzed for their strength and weaknesses. Additionally, the social and environmental implications of these future vehicles are examined. With a focus on sustainability and emissions reduction, this paper aligns with global efforts towards cleaner transportation and climate change mitigation. This approach goes beyond traditional reviews by providing a holistic view of future sustainable transportation systems. By synthesizing current advancements and addressing key challenges, this study offers critical insights to inspire researchers, engineers, and policymakers to develop resilient, sustainable transportation systems for a cleaner and greener future.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"75 ","pages":"Article 104196"},"PeriodicalIF":7.1,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143128116","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

Conceptual design and economic analysis of biomethanol production process from palm oil mill effluent for sustainable biodiesel production

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2025-01-25 DOI: 10.1016/j.seta.2025.104207

Wei-Jyun Wang , Chong Wei Ong , Denny K.S. Ng , Cheng-Liang Chen

Biodiesel is one of the most potential sustainable alternatives to fossil fuels in transportation sector. However, methanol used in biodiesel production is usually synthesized from natural gas. In this work, a feasibility study of biomethanol (bio-MeOH) production from palm oil mill effluent is conducted. Biogas produced from palm oil mill effluent (POME) via anaerobic digestor is used to synthesize bio-MeOH to support sustainable biodiesel production. The treated biogas is converted into syngas via methane steam reforming (MSR) and water gas shift (WGS) processes. Raw syngas from WGS reactor is dehumidified and mixed with an additional amount of carbon dioxide (CO₂) to achieve desired 2:1 H₂/CO₂ molar ratio before being fed into a CO₂ hydrogenation reactor to produce bio-MeOH. The raw bio-MeOH is then purified to 99.9 mol% via distillation columns. To reduce utility consumption and CO₂ emissions, the bio-MeOH production process is further enhanced via heat integration. The optimized results show that the levelized production cost and carbon emission of the intensified design are 1,101.56 USD and 3.42 tonne-CO₂ per tonne-MeOH. For the internal rate of return (IRR) to attain the profitable threshold of 5 %, the selling price of bio-MeOH must be higher than $1,600 USD per tonne-MeOH.

{"title":"Conceptual design and economic analysis of biomethanol production process from palm oil mill effluent for sustainable biodiesel production","authors":"Wei-Jyun Wang , Chong Wei Ong , Denny K.S. Ng , Cheng-Liang Chen","doi":"10.1016/j.seta.2025.104207","DOIUrl":"10.1016/j.seta.2025.104207","url":null,"abstract":"<div><div>Biodiesel is one of the most potential sustainable alternatives to fossil fuels in transportation sector. However, methanol used in biodiesel production is usually synthesized from natural gas. In this work, a feasibility study of biomethanol (bio-MeOH) production from palm oil mill effluent is conducted. Biogas produced from palm oil mill effluent (POME) via anaerobic digestor is used to synthesize bio-MeOH to support sustainable biodiesel production. The treated biogas is converted into syngas via methane steam reforming (MSR) and water gas shift (WGS) processes. Raw syngas from WGS reactor is dehumidified and mixed with an additional amount of carbon dioxide (CO<sub>2</sub>) to achieve desired 2:1 H<sub>2</sub>/CO<sub>2</sub> molar ratio before being fed into a CO<sub>2</sub> hydrogenation reactor to produce bio-MeOH. The raw bio-MeOH is then purified to 99.9 mol% via distillation columns. To reduce utility consumption and CO<sub>2</sub> emissions, the bio-MeOH production process is further enhanced via heat integration. The optimized results show that the levelized production cost and carbon emission of the intensified design are 1,101.56 USD and 3.42 tonne-CO<sub>2</sub> per tonne-MeOH. For the internal rate of return (IRR) to attain the profitable threshold of 5 %, the selling price of bio-MeOH must be higher than $1,600 USD per tonne-MeOH.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"75 ","pages":"Article 104207"},"PeriodicalIF":7.1,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143128112","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

CO2-assisted pyrolysis of plastic wastes: A review

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2025-01-25 DOI: 10.1016/j.seta.2025.104209

Pan Zhang , Virdi Chaerusani , Aghietyas Choirun Az Zahra , Aisikaer Anniwaer , Kun Zhao , Fang Gu , Zhongbao Feng , Zhao Liu , Abuliti Abudula , Guoqing Guan

CO₂-assisted pyrolysis is an effective method widely used in the chemical conversion of different raw materials to value-added products. In particular, CO₂-assisted plastic pyrolysis can not only produce various hydrocarbons but also reduce the environmental pollution of plastic wastes and effectively reduce the emission of greenhouse gases. This technology has great significance for the treatment of urban plastic wastes. Herein, the latest progress in the pyrolysis of plastic wastes in the presence of CO₂ is reviewed. Compared with typical pyrolysis in an inert environment (such as N₂ or Ar), it is found that CO₂ can change the type and yield of gas products, effectively inhibit the generation of benzene derivatives and polycyclic aromatic hydrocarbons (PAHs), and greatly prevent the reduction of catalyst activity. The conditions and catalysts required for CO₂-assisted pyrolysis of different plastic wastes should be selected according to the requirements of desired products. Combined with pyrolysis kinetics, the proposed mechanisms of CO₂-assisted plastic pyrolysis are introduced. Finally, the main issues of the current researches and the future development trend on CO₂-assisted catalytic pyrolysis are discussed.

{"title":"CO2-assisted pyrolysis of plastic wastes: A review","authors":"Pan Zhang , Virdi Chaerusani , Aghietyas Choirun Az Zahra , Aisikaer Anniwaer , Kun Zhao , Fang Gu , Zhongbao Feng , Zhao Liu , Abuliti Abudula , Guoqing Guan","doi":"10.1016/j.seta.2025.104209","DOIUrl":"10.1016/j.seta.2025.104209","url":null,"abstract":"<div><div>CO<sub>2</sub>-assisted pyrolysis is an effective method widely used in the chemical conversion of different raw materials to value-added products. In particular, CO<sub>2</sub>-assisted plastic pyrolysis can not only produce various hydrocarbons but also reduce the environmental pollution of plastic wastes and effectively reduce the emission of greenhouse gases. This technology has great significance for the treatment of urban plastic wastes. Herein, the latest progress in the pyrolysis of plastic wastes in the presence of CO<sub>2</sub> is reviewed. Compared with typical pyrolysis in an inert environment (such as N<sub>2</sub> or Ar), it is found that CO<sub>2</sub> can change the type and yield of gas products, effectively inhibit the generation of benzene derivatives and polycyclic aromatic hydrocarbons (PAHs), and greatly prevent the reduction of catalyst activity. The conditions and catalysts required for CO<sub>2</sub>-assisted pyrolysis of different plastic wastes should be selected according to the requirements of desired products. Combined with pyrolysis kinetics, the proposed mechanisms of CO<sub>2</sub>-assisted plastic pyrolysis are introduced. Finally, the main issues of the current researches and the future development trend on CO<sub>2</sub>-assisted catalytic pyrolysis are discussed.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"75 ","pages":"Article 104209"},"PeriodicalIF":7.1,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143093393","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

Deep eutectic solvent-based sustainable electrochemical lithium batteries – Prospects, challenges, and life cycle engineering

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2025-01-01 DOI: 10.1016/j.seta.2024.104136

Lavanya Priyadarshini Ramalingam , Balasubramanian Ramalingam , Senthilkumar Rathnasamy , Parkavi Kathirvelu

The transition to sustainable energy sources necessitates advanced energy storage systems, with deep eutectic solvents (DESs) emerging as a promising, green, and cost-effective solution. Compared to traditional solvents, DESs excel in applications such as batteries, supercapacitors, metal electropolishing, electrodeposition, electrode synthesis, recycling, and CO₂ capture due to their low toxicity, excellent conductivity, high thermal stability, and nonflammability. Emphasis is given to DESs as sustainable electrolytes in lithium-ion batteries, addressing both safety and environmental concerns. This highlights DES aiming to inspire advancements in technological, energy, and environmental engineering. The review outlines challenges, research gaps, and future prospects, showcasing DESs’ potential in efficient energy storage for the renewable energy era. deep eutectic electrolytes (DEEs) offer several advantages in battery performance. They provide high energy density, long cycle life, wide electrochemical stability window, which withstands high voltages without decomposition, ideal for high-voltage batteries in electric vehicles and electronics. DEEs also improve the stability and cycling performance of lithium-ion batteries by regulating SEI layer formation and suppressing lithium dendrite growth. Additionally, DEEs enable high-voltage cycling and can function in self-healing gel electrolytes for solid-state lithium batteries.

{"title":"Deep eutectic solvent-based sustainable electrochemical lithium batteries – Prospects, challenges, and life cycle engineering","authors":"Lavanya Priyadarshini Ramalingam , Balasubramanian Ramalingam , Senthilkumar Rathnasamy , Parkavi Kathirvelu","doi":"10.1016/j.seta.2024.104136","DOIUrl":"10.1016/j.seta.2024.104136","url":null,"abstract":"<div><div>The transition to sustainable energy sources necessitates advanced energy storage systems, with deep eutectic solvents (DESs) emerging as a promising, green, and cost-effective solution. Compared to traditional solvents, DESs excel in applications such as batteries, supercapacitors, metal electropolishing, electrodeposition, electrode synthesis, recycling, and CO<sub>2</sub> capture due to their low toxicity, excellent conductivity, high thermal stability, and nonflammability. Emphasis is given to DESs as sustainable electrolytes in lithium-ion batteries, addressing both safety and environmental concerns. This highlights DES aiming to inspire advancements in technological, energy, and environmental engineering. The review outlines challenges, research gaps, and future prospects, showcasing DESs’ potential in efficient energy storage for the renewable energy era. deep eutectic electrolytes (DEEs) offer several advantages in battery performance. They provide high energy density, long cycle life, wide electrochemical stability window, which withstands high voltages without decomposition, ideal for high-voltage batteries in electric vehicles and electronics. DEEs also improve the stability and cycling performance of lithium-ion batteries by regulating SEI layer formation and suppressing lithium dendrite growth. Additionally, DEEs enable high-voltage cycling and can function in self-healing gel electrolytes for solid-state lithium batteries.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"73 ","pages":"Article 104136"},"PeriodicalIF":7.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143162566","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

Distributionally robust co-optimization of energy and reserve dispatch for integrated electricity-gas-heating systems

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2025-01-01 DOI: 10.1016/j.seta.2024.104125

Daren Ji, Zhinong Wei, Yizhou Zhou, Sheng Chen, Guoqiang Sun, Haixiang Zang

The interconnection of electricity-gas-heating systems has received widespread attention due to its ability to improve the accommodation of renewable energy sources (RESs). This paper proposes a two-stage distributionally robust optimization (DRO) model for coordinating the energy and reserve of Integrated electricity-gas-heating systems (IEGHSs) in conjunction with the uncertainties of multiple wind power output. The Dirichlet process mixture model (DPMM) is applied to extract uncertainty parameters information from historical data and construct uncertainty sets that consider the correlations between the output uncertainties of multiple wind farms. The original problem is decomposed using the column and constraint generation (C&CG) algorithm and further transformed using duality theory to enhance computational efficiency. The effectiveness and economy of the proposed model are demonstrated based on the numerical results of a realistic IEGHSs with multiple wind power installations.

引用次数: 0

Sustainable pathways for hydrogen Production: Metrics, Trends, and strategies for a Zero-Carbon future

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2025-01-01 DOI: 10.1016/j.seta.2024.104124

Abdoulkader Ibrahim Idriss , Abdoulhamid Awalo Mohamed , Hamda Abdi Atteye , Ramadan Ali Ahmed , Omar Abdoulkader Mohamed , Tahir Cetin Akinci , Haitham S. Ramadan

The Horn of Africa stands as a promising region for renewable energy exploration, particularly in harnessing wind power for hydrogen generation employing Mabchour’s method to estimate the region’s sustainable energy potential. This paper explores the considerable potential in exploiting the region’s abundant wind resources to produce green hydrogen. Leveraging this renewable source to drive electrolysis for hydrogen production not only aligns with global sustainability goals but also meets the escalating energy needs escalating energy demands. It offers promising solutions for enhancing energy independence and providing valuable energy storage capabilities for a sustainable energy future. Through a techno-economic analysis for different sites, the levelized cost of energy (LCOE) alongside with the levelized cost of hydrogen (LCOH), the hydrogen production and the gained carbon credit are determined. Moreover, a site-dependent empirical formula is deduced to estimate both the produced hydrogen quantity and LCOE as a function of wind turbine rated power. The fair analysis highlights the superiority of MM82 wind turbines for diverse studied locations. Ghoubet leads in cost-effective annual hydrogen production of 259.86 tons, with the lowest LCOH and LCOE at 1.17 $/kg, and 0.011 $/kWh, respectively. Additionally, a shorter 1.08-year payback period, and significant annual CO₂ reduction of 3182.36 tons.

{"title":"Sustainable pathways for hydrogen Production: Metrics, Trends, and strategies for a Zero-Carbon future","authors":"Abdoulkader Ibrahim Idriss , Abdoulhamid Awalo Mohamed , Hamda Abdi Atteye , Ramadan Ali Ahmed , Omar Abdoulkader Mohamed , Tahir Cetin Akinci , Haitham S. Ramadan","doi":"10.1016/j.seta.2024.104124","DOIUrl":"10.1016/j.seta.2024.104124","url":null,"abstract":"<div><div>The Horn of Africa stands as a promising region for renewable energy exploration, particularly in harnessing wind power for hydrogen generation employing Mabchour’s method to estimate the region’s sustainable energy potential. This paper explores the considerable potential in exploiting the region’s abundant wind resources to produce green hydrogen. Leveraging this renewable source to drive electrolysis for hydrogen production not only aligns with global sustainability goals but also meets the escalating energy needs escalating energy demands. It offers promising solutions for enhancing energy independence and providing valuable energy storage capabilities for a sustainable energy future. Through a techno-economic analysis for different sites, the levelized cost of energy (LCOE) alongside with the levelized cost of hydrogen (LCOH), the hydrogen production and the gained carbon credit are determined. Moreover, a site-dependent empirical formula is deduced to estimate both the produced hydrogen quantity and LCOE as a function of wind turbine rated power. The fair analysis highlights the superiority of MM82 wind turbines for diverse studied locations. Ghoubet leads in cost-effective annual hydrogen production of 259.86 tons, with the lowest LCOH and LCOE at 1.17 $/kg, and 0.011 $/kWh, respectively. Additionally, a shorter 1.08-year payback period, and significant annual CO<sub>2</sub> reduction of 3182.36 tons.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"73 ","pages":"Article 104124"},"PeriodicalIF":7.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143163474","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

SmartFormer: Graph-based transformer model for energy load forecasting

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2025-01-01 DOI: 10.1016/j.seta.2024.104133

Faisal Saeed , Abdul Rehman , Hasnain Ali Shah , Muhammad Diyan , Jie Chen , Jae-Mo Kang

Electric load forecasting is a pivotal component in the power industry, providing essential intelligence for optimizing smart grid operations. Energy load data, inherently characterized as a multivariate time series, is influenced by various interdependent factors such as weather conditions, economic activity, and seasonal variations, all of which significantly impact the overall load dynamics. Though deep learning techniques, particularly with transformer-based models, have achieved significant progress in forecasting time series data, a gap exists in adequately acknowledging the importance of inter-series dependencies in multi-series load data. This paper proposes a novel graph-nested transformer model to effectively capture inter-series dependencies and forecast the load using a graph structure. The proposed Transformer model addresses two primary challenges: efficiently representing various temporal patterns and reducing redundant information within the series. In the proposed model, the graph neural network components are seamlessly integrated into the Transformer layers, allowing for the fusion of sequence encoding and graph aggregation in an iterative workflow. Evaluations across four distinct datasets demonstrate the superiority of the proposed model over state-of-the-art techniques in power load forecasting.

{"title":"SmartFormer: Graph-based transformer model for energy load forecasting","authors":"Faisal Saeed , Abdul Rehman , Hasnain Ali Shah , Muhammad Diyan , Jie Chen , Jae-Mo Kang","doi":"10.1016/j.seta.2024.104133","DOIUrl":"10.1016/j.seta.2024.104133","url":null,"abstract":"<div><div>Electric load forecasting is a pivotal component in the power industry, providing essential intelligence for optimizing smart grid operations. Energy load data, inherently characterized as a multivariate time series, is influenced by various interdependent factors such as weather conditions, economic activity, and seasonal variations, all of which significantly impact the overall load dynamics. Though deep learning techniques, particularly with transformer-based models, have achieved significant progress in forecasting time series data, a gap exists in adequately acknowledging the importance of inter-series dependencies in multi-series load data. This paper proposes a novel graph-nested transformer model to effectively capture inter-series dependencies and forecast the load using a graph structure. The proposed Transformer model addresses two primary challenges: efficiently representing various temporal patterns and reducing redundant information within the series. In the proposed model, the graph neural network components are seamlessly integrated into the Transformer layers, allowing for the fusion of sequence encoding and graph aggregation in an iterative workflow. Evaluations across four distinct datasets demonstrate the superiority of the proposed model over state-of-the-art techniques in power load forecasting.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"73 ","pages":"Article 104133"},"PeriodicalIF":7.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143162535","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

An innovative solar still design integrated with radiative cooling for sustainable, passive, all-day freshwater harvesting: A comprehensive study

IF 7.1 2区工程技术 Q1 ENERGY & FUELS

Sustainable Energy Technologies and Assessments

Pub Date : 2025-01-01 DOI: 10.1016/j.seta.2024.104130

H. Aghakhani, M. Saffar-Avval, M.R Hajmohammadi

This study investigates the application of radiative cooling, a cutting-edge approach gaining significant attention, to enhance condensation efficiency in solar stills, addressing the limitations of these eco-friendly devices. Two designs were explored: one with an opaque, radiative cooling-coated metal chamber adjacent to the glass, and another replacing the glass with a transparent radiative cooling plate. Using a novel two-dimensional numerical and CFD method, validated by experimental results and relying solely on radiation and temperature as environmental parameters, the study evaluates these designs’ effectiveness. Additionally, the impact of single- and double-layer windshields at night was assessed, along with Atmospheric Water Harvesting using the transparent radiative cooling design. This design showed a 23.5% increase in water production and a 24.2% improvement in energy efficiency. For the chamber-based design, various geometries were analyzed using dimensionless numbers to optimize performance, yielding a 12.5% increase in production and a 2.7% rise in energy efficiency. Integrating a Parabolic Trough Collector to preheat water at the basin of the solar still amplified these gains, leading to 260.4% production and 65.3% efficiency improvements. These findings demonstrate that radiative cooling can significantly enhance sustainable solar desalination efficiency without additional energy input, offering promising potential for future research.

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