Sustainable Energy Technologies and Assessments最新文献

{"title":"Advancing just transition: The role of biomass co-firing in emission reductions and employment for coal regions","authors":"Mingyu Zhai ,&nbsp;Xuelin Tian ,&nbsp;Zenghui Liu ,&nbsp;Yincheng Zhao ,&nbsp;Yating Deng ,&nbsp;Weiyao Yang","doi":"10.1016/j.seta.2025.104246","DOIUrl":"10.1016/j.seta.2025.104246","url":null,"abstract":"<div><div>As efforts to mitigate carbon emissions intensify, the issue of justice in the transition process has gained significant attention. The environmental impacts of low-carbon technologies, such as renewable energy, have been widely evaluated. This study develops an integrated model to quantify the employment effects of biomass co-firing retrofitting for coal plants and to explore its optimal ratio. We also modified a plant-level carbon emission calculation method to analyze the trade-off between carbon emissions and social benefits. Our results indicate that when the blend rate of coal and biomass exceeds 90%, there are noticeable changes in job creation. However, the maximum job creation value is negative, suggesting that biomass co-firing technology is not an effective choice for achieving a just transition during the large-scale coal phase-out process, and it is less competitive compared to renewable energy. Additionally, we find that generation efficiency is linearly negatively correlated with the blend rate. Moreover, carbon emission intensity and job intensity are positively correlated linearly, while there is a nonlinear negative correlation between job intensity and the blend ratio. Overall, biomass co-firing appears insufficient for a just transition in coal phase-out, indicating a need for regionally adaptive blend ratios for optimal operation.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"75 ","pages":"Article 104246"},"PeriodicalIF":7.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143520584","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}

{"title":"A combined vehicle specific power and laboratory emissions approach to real driving CO2 emission estimation for light-duty vehicle","authors":"Dan Tan ,&nbsp;Jianwei Tan ,&nbsp;Ming Liu ,&nbsp;Hualong Xu ,&nbsp;Yunshan Ge","doi":"10.1016/j.seta.2025.104265","DOIUrl":"10.1016/j.seta.2025.104265","url":null,"abstract":"<div><div>The influence of CO₂ on Earth’s climate warming is significant. To quantitatively evaluate RDE (Real Driving Emission) CO₂ emissions based on laboratory test cycles, ten China 6 light-duty vehicles were tested under the WLTC (Worldwide Light-duty Driving Test Cycle), CLTC-P (China Light-duty Vehicle Test Cycle), and RDE tests. This study identified that the reference CO₂ emission factors for conventional vehicles and PHEVs (Plug-in Hybrid Electric Vehicles) were 9.59–27.36 % and 32.30–45.01 % higher than the tested CO₂ emissions, respectively. This suggested that setting CO₂ emission limits based on the method in fuel consumption regulation could not effectively reduce CO₂ emissions, particularly for PHEVs. The linear relationship between laboratory and RDE average CO₂ emission in each VSP (Vehicle Specific Power) Bin suggested that the RDE average CO₂ emission can be corrected to reduce the impact of driving behaviour and traffic conditions. The laboratory-based RDE emissions were obtained by replacing the frequency ratios of each VSP bin in the RDE tests with those from the laboratory cycles, and this method was helpful to establish RDE CO₂ emission limits. For PHEVs, when the WLTC was used as a benchmark, RDE CO₂ emissions from aggressive driving and traffic congestion were 9.48–14.87 g/km and 20.04–20.31 g/km, respectively. These emissions were 5.49 g/km and 20.52 g/km when the CLTC-P was used as the benchmark.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"75 ","pages":"Article 104265"},"PeriodicalIF":7.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593230","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}

{"title":"Predictions of calcite scaling location and amounts in geothermal reservoirs by coupled thermo-hydro-chemical model","authors":"Baixu Cao ,&nbsp;Mingyan Liu ,&nbsp;Yongli Ma ,&nbsp;Hailong Tian ,&nbsp;Guanhong Feng","doi":"10.1016/j.seta.2025.104259","DOIUrl":"10.1016/j.seta.2025.104259","url":null,"abstract":"<div><div>As one of the five non-carbon-based energy sources, geothermal energy plays a pivotal role in the transformation of energy system and the realization of the dual carbon goal. In view of rational geothermal reservoir development is of vital significance to the utilization efficiency of geothermal energy, the influences of rock physical properties and geothermal fluid properties caused by geothermal reservoir reconstruction on calcite scaling were investigated, and several conclusions were obtained: The amounts and areas of calcite scaling in the geothermal reservoirs significantly increase with running time; The amounts of calcite scaling in the geothermal reservoir adjacent to the well bottom increase conspicuously with permeability, Ca²⁺ and HCO₃^– concentrations, pH value of geothermal fluid, CO₂ mass flow rate, and decrease with salinity, which seriously restricts the utilization rate of geothermal wells. These results give a theoretical foundation and guideline for scaling prevention and production rising of geothermal wells.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"75 ","pages":"Article 104259"},"PeriodicalIF":7.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593229","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}

{"title":"Theoretical model and performance study of a stacked hydraulic piezoelectric energy harvester under multiple pulsation frequencies excitation","authors":"Weijie Shi,&nbsp;Yifei Xu,&nbsp;Guosen Wang,&nbsp;Dezhao Lu,&nbsp;Lupeng Wu,&nbsp;Yongtao Zhang","doi":"10.1016/j.seta.2025.104263","DOIUrl":"10.1016/j.seta.2025.104263","url":null,"abstract":"<div><div>Stacked piezoelectric energy harvesters can be applied to hydraulic systems to convert the pressure pulsation into electrical energy for powering low-power components. A theoretical model is constructed, taking into account the elastic effect of the fluid to mechanical interface. This model is employed to investigate the influence of pulsation frequency excitation on the energy harvesting performance. The findings indicate that the voltage and average power increase with increasing fundamental frequency only at low resistance for single frequency excitation. The harmonic frequency component of pressure is beneficial for improving the harvested electrical energy. When the pressure pulsation contains cavitation high-frequency, the voltage and resistance exhibit a quadratic growth pattern. The increase in fundamental frequency can significantly enhance the voltage and average power of high resistance. Conversely, altering high-frequency affects the energy harvesting performance of low resistance. Furthermore, under small difference between high-frequency and fundamental frequency, the optimal resistance increases initially before decreasing with further increase in the fundamental frequency. However, as this frequency span increases, the effect of the fundamental frequency on the optimal resistance becomes progressively weaker. This paper offers a theoretical practical foundation for selecting fluid regions in hydraulic piezoelectric energy harvesting.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"75 ","pages":"Article 104263"},"PeriodicalIF":7.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143593174","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}

{"title":"Finite element approach for stress-strain analysis in an ohmic-heating pressure cooker (OHPC) and its energy-exergy evaluation","authors":"Manibhushan Kumar ,&nbsp;Pramod K Prabhakar ,&nbsp;Brijesh Srivastava","doi":"10.1016/j.seta.2025.104254","DOIUrl":"10.1016/j.seta.2025.104254","url":null,"abstract":"<div><div>This study aimed to develop an ohmic heating pressure cooker (OHPC) and evaluate its thermal performance based on energy-exergy analysis. OHPC is an innovative approach to cooking food with reduced time and energy efficiency. The thermos-mechanical stress patterns on the wall were examined using FEA-based software. Saltwater (SW) (0.02, 0.04, 0.06, and 0.08 % w/v) was considered as the food model, and EFS of 20, 30, and 40 V/cm was used in the OHPC performance experiment. The SW’s electrical conductivity increased linearly with temperature, and the EFS impact was negligible. The higher heating rate reduced processing time from 36 min to 2 min at higher SW concentrations and EFS. Both energy (77–98 %) and exergy efficiency (52 – 87 %) increase with salt concentration and EFS. Destruction exergy was calculated from exergy and entropy balance equations and showed close agreement. The developed OHPC can cook various food products that contain electrically conductive mediums, such as liquid and solid-liquid foods. This technology also promises to provide shorter cooking time due to the high volumetric heating rate and enhance energy-exergy efficiency.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"75 ","pages":"Article 104254"},"PeriodicalIF":7.1,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480429","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}

{"title":"A detailed multi-component heat configuration assessment for complex industrial plants through Monte Carlo simulations: A case study for the cement industry","authors":"Ian Wolde ,&nbsp;Allan R. Starke ,&nbsp;Alexandre K. da Silva ,&nbsp;José M. Cardemil","doi":"10.1016/j.seta.2025.104237","DOIUrl":"10.1016/j.seta.2025.104237","url":null,"abstract":"<div><div>The decarbonization of industrial plants involves the integration of cleaner and more efficient energy processes, which might include electrification, renewable energy sources, waste heat recovery, and thermal energy storage. The technical viability of each assisting technology is usually assessed through direct simulations of the integrated system, which makes evaluation often difficult. This study proposes a methodology for estimating the heat demands of different configurations of a generic cement plant, aiming to assess the fuel consumption for the several integration cases considered. The waste heat and the mass flow rate of the internal streams are considered variable parameters, which lead to 32 distinct integration cases and 16,000 plant simulations. The operating conditions are generated through a Monte Carlo approach, ensuring the probability distribution of the results. The waste heat measures increase the plant’s heat demand and hinder its efficiency. A linear regression for fuel heat demand shows results ranging from 113.72<!--> <!-->MW to 492.62<!--> <!-->MW.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"75 ","pages":"Article 104237"},"PeriodicalIF":7.1,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488639","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}

{"title":"Deep learning methods and evaluation of the extensive carbon emission predictive solution for Danish grid","authors":"Seyed Mahdi Miraftabzdeh ,&nbsp;Mohammed Ali Khan ,&nbsp;Navid Bayati ,&nbsp;Dario Zaninelli","doi":"10.1016/j.seta.2025.104242","DOIUrl":"10.1016/j.seta.2025.104242","url":null,"abstract":"<div><div>The increase in industrialization and the rise of large commercial cities have significantly contributed to the escalation of carbon emissions over the last few centuries. Accurate forecasting of carbon emissions is critical for governing bodies to implement effective policies aimed at promoting sustainable development. This study investigates both deterministic and probabilistic forecasting models, assessing their prediction accuracy and reliability. The deterministic models applied four deep learning algorithms—Convolutional Neural Networks (CNN), Deep Feedforward Neural Networks (DFNN), Long Short-Term Memory (LSTM), and Multi-Headed Attention LSTM (MHA-LSTM). Probabilistic forecasting models were further enhanced using Monte Carlo simulations (MCS). The performance of these algorithms was evaluated across multiple metrics. MHA-LSTM demonstrated superior performance in both deterministic and probabilistic forecasting. In deterministic predictions, it achieved the lowest Mean Absolute Error (MAE) at 0.014 during training and 0.017 during testing, outperforming CNN, DFNN, and LSTM. It also recorded minimal Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE). In probabilistic forecasting, Attention LSTM excelled with the lowest Absolute Calibration Error (ACE%) at -0.150 and Interval Score (IS) of <span><math><mrow><mo>−</mo><mn>2</mn><mo>.</mo><mn>892</mn><mo>×</mo><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mn>5</mn></mrow></msup></mrow></math></span>, significantly outperforming other models. Its strong performance across metrics and confidence levels, particularly in Pinball metrics for prediction bounds, highlights its robustness and accuracy, making it ideal for carbon emission forecasting and policy planning.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"75 ","pages":"Article 104242"},"PeriodicalIF":7.1,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480427","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}

{"title":"In silico dispersion modelling for the safety assessment of ammonia as marine fuel","authors":"Nikolaos A. Avgerinos ,&nbsp;Panagiotis Neofytou ,&nbsp;Athanasios Stubos ,&nbsp;Lachlan McKenzie","doi":"10.1016/j.seta.2025.104247","DOIUrl":"10.1016/j.seta.2025.104247","url":null,"abstract":"<div><div>In this study simulations are carried out to predict ammonia dispersion in the ambient environment and, consequently, assess specific safety aspects with respect to an emergency underwater release of fuel ammonia from a ship with particular emphasis in areas where personnel can be potentially exposed. Specifically, simulations are performed employing a commercial Computational Fluid Dynamics (CFD) numerical code in which both the physics of ammonia dissolution in water in conjunction with subsequent evaporation in ambient air and the vessel-specific details such as geometry and discharge parameters are considered. Subsequently, the computational method is used to simulate selected discharge scenarios and thereby to define zones of increased ammonia concentrations and potentially hazardous areas to personnel based on the Acute Exposure Guideline Levels for Hazardous Substances. These scenarios account for ambient conditions such as wind speed and direction and also the discharge system specifications. Results include the impact of both sea current velocity and direction to the fate of released ammonia and indicate ammonia concentration levels at different areas on board and around the vessel. On the basis of these results, it may be conjectured that if the ship maintains its maneuvering capability in case of an emergency scenario, then it is feasible to maintain a safe side by attempting to position the ship axis parallel to the prevailing seawater current. In addition, the maximum height above the sea surface where relatively low concentration of ammonia is observed for the specific geometry and cases considered, is determined. In view of this, the model can be used as a tool for dispersion analysis to investigate and possibly support the use of ammonia as a marine fuel. This can be of interest to various stakeholders including authorities as well as classification societies that have introduced tentative rules and guidelines in relation to ammonia-fueled ships.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"75 ","pages":"Article 104247"},"PeriodicalIF":7.1,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480428","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}

{"title":"Assessing the viability of solar-biogas hybrid systems for energy provision in rural Kenyan communities","authors":"Stephen K. Kimutai,&nbsp;Bernadette Dushengere,&nbsp;Isaiah Muchilwa","doi":"10.1016/j.seta.2025.104244","DOIUrl":"10.1016/j.seta.2025.104244","url":null,"abstract":"<div><div>This study evaluated the viability of a hybrid solar photovoltaic (PV)-biogas system with the goal of resolving the ongoing lack of energy access in rural communities with a focus on Kenya’s Kesses region, Uasin Gishu county. The study aims to assess energy demand, economic and environmental impacts, evaluate resource potential, model a hybrid system and gather data from 100 households. An estimated 780 kg of firewood per day is needed, with maize residues and cattle manure having biogas potentials of 88.08 and 309.7 m³/day, respectively against minimum requirement of 141.8 m³/day. The electrical demand is 114.75 kWh/day. The best setup which makes use of HOMER, includes an 18.20 kW converter, a 25.50 kW PV module, a 143-kWh battery capacity, and a 3-kW biogas generator. The Net Present Cost (NPC) and levelized Cost of Energy (LCOE) come to USD 183,558 and 0.171$/kWh, respectively. Additionally, findings showed that switching to biogas for cooking reduce CO₂ emissions by 60,193.39 kg annually. Sensitivity analysis indicates that the costs of biogas generators have no effect on NPC and LCOE, while a greater inflation rate shows a double effect. PV-Biogas hybrid systems present a viable way to electrify rural areas and household’s livelihood improvement.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"75 ","pages":"Article 104244"},"PeriodicalIF":7.1,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465151","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}

{"title":"Towards solar-energy-assisted electric vehicle charging stations: A literature review on site selection with GIS and MCDM methods","authors":"Sinem Hisoğlu ,&nbsp;Resul Çömert ,&nbsp;Marko Antila ,&nbsp;Rafael Åman ,&nbsp;Aapo Huovila","doi":"10.1016/j.seta.2025.104193","DOIUrl":"10.1016/j.seta.2025.104193","url":null,"abstract":"<div><div>Transport electrification and renewable energy integration are essential for transitioning to a zero-carbon society. Electric vehicles (EVs) are seen as a solution to cut transport emissions, but the existing charging station network is insufficient, and the electricity is often largely supplied by fossil fuels. Therefore, a key question is how to design optimally located charging stations supported by renewable energy. Geographical information system (GIS) and multi-criteria decision-making (MCDM) have proven to be powerful methods for site selection as they help manage geographical data, local characteristics and stakeholder preferences. These approaches have been successfully applied for solar or EV charging station site selection, but their use for solar-energy-assisted electric vehicle charging stations (SE-EVCS) is limited. As SE-EVCSs are of quickly increasing importance, this study developed a generic approach<!--> <!-->using GIS and MCDM to identify optimal locations for SE-EVCSs. A systematic literature review was performed to identify the relevant site selection criteria and MCDMs used so far. The proposed approach considers the most relevant criteria and their application in practice, analysing different use cases for city centres and urban areas. These criteria consist of solar irradiance, accessibility (roads and amenities), land availability/type, existing charging network, population densities, economic KPIs and technical energy factors, but their importance depends on the<!--> <!-->local context. The findings are expected to help city planners, plot owners, private charging operators and energy companies to select optimal locations for SE-EVCSs, and help researchers and practitioners design methods and criteria for tools supporting these site selection processes.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"75 ","pages":"Article 104193"},"PeriodicalIF":7.1,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143454043","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}