Energy nexus最新文献

{"title":"Thermo-economic optimization of a hybrid solar-wind energy system for the production of clean hydrogen and electricity","authors":"Ali Bedakhanian ,&nbsp;Akbar Maleki ,&nbsp;Siavash Haghighat","doi":"10.1016/j.nexus.2025.100378","DOIUrl":"10.1016/j.nexus.2025.100378","url":null,"abstract":"<div><div>With the increasing warming of the atmosphere and the growth of energy consumption in the world, new methods and highly efficient energy systems take precedence over conventional methods. This study concentrates on the proposition and techno-economical investigation of a hybrid wind-solar energy system encompassing flat plate solar collector for the purpose of clean hydrogen and electricity generation. The proposed system is a combination of flat plate solar collectors, wind turbine, organic Rankine cycle, and proton exchange membrane electrolyser. Wind speed, turbine inlet temperature, incident solar irradiation, and collector-related parameters including its surface area and fluid mass flow rate are selected decision variables, the impacts of which on the exergy efficiency and exergy loss of the scheme are examined. The objective functions included total cost rate and total exergy efficiency. The Nelder-Mead optimization method and EES software were utilized to achieve the mentioned goals, followed by a comparative case study was conducted for two cities with high potential in Iran. According to the optimization results, the exergy efficiency of 13.35 % was achieved while the cost rate was equal to $25.48 per hour, respectively. According to the sensitivity analysis, the increment in the solar collector area, incident solar irradiation, wind speed, and turbine inlet temperature improved the system's technical performance. Furthermore, the exergy loss analysis pointed out that the increment in the turbine inlet temperature, not only improves the system's performance, but also reduces the exergy loss. A comparison of the electricity production in Semnan and Isfahan showed that 1192613.4 and 1188897.6 of electricity were produced in the two cities in one year, respectively. The city of Semnan with the production of 2762.86 kg/h of hydrogen presented better system performance compared to the city of Isfahan with 2757.004 kg/h of hydrogen.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"17 ","pages":"Article 100378"},"PeriodicalIF":8.0,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143444929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Circular economy in the renewable energy sector: A review of growth trends, gaps and future directions","authors":"Abdinasir Ahmed Abdirahman ,&nbsp;Muhammad Asif ,&nbsp;Osama Mohsen","doi":"10.1016/j.nexus.2025.100395","DOIUrl":"10.1016/j.nexus.2025.100395","url":null,"abstract":"<div><div>This study provides a comprehensive scientometric analysis of global research trends at the intersection of Circular Economy (CE) and Renewable Energy (RE) from 2014 to 2024, addressing the critical need for a systematic understanding of this rapidly expanding field. Using VOSviewer and Scopus data, it maps the intellectual landscape of CE and RE research, identifying key trends, influential authors, and collaborative networks. The findings reveal exponential growth in publications, particularly post-2018, driven by global sustainability initiatives like the United Nations' Sustainable Development Goals (SDGs) and the Paris Agreement. While traditional RE technologies such as solar and wind dominate research outputs, emerging areas like green hydrogen and the circular bioeconomy remain underexplored, presenting substantial opportunities for future research. Major themes identified include sustainability performance, resource recovery, energy efficiency, and policy frameworks, reflecting the field's interdisciplinary nature. Geographic analysis reveals significant disparities, with over 70 % of research originating from developed countries like United Kingdom, Spain, USA and Italy, while contributions from developing regions such as Africa and South America remain minimal. This imbalance highlights the need for targeted investments in research and development, alongside international collaborations to address capacity gaps and ensure inclusive global participation. Integrating emerging digital technologies such as AI, blockchain, and IoT, along with exploring the socio-economic impacts of CE and RE transitions, are critical for advancing sustainability efforts. Policymakers must prioritize tailored regulatory frameworks and financial mechanisms, particularly in low-income countries, to drive equitable adoption of circular economy principles and bridge the existing disparities.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"17 ","pages":"Article 100395"},"PeriodicalIF":8.0,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143428231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The non-linear impact of digital trade development on carbon emissions: Evidence from Chinese cities","authors":"Xiangxiang Zhou ,&nbsp;Hui Guo","doi":"10.1016/j.nexus.2025.100390","DOIUrl":"10.1016/j.nexus.2025.100390","url":null,"abstract":"<div><div>The development of digital trade has emerged as a significant driver of global carbon reduction. Based on panel data from 257 Chinese cities between 2013 and 2019, this paper investigates the relationship between the development of urban digital trade and carbon emissions in depth. The analysis reveals an inverted U-shaped relationship between digital trade and carbon emissions: during the early stages of digital trade development, carbon emissions increase, but after reaching a certain threshold, carbon emissions gradually decline. This conclusion remains robust following endogeneity tests. Further examination indicates that the market integration plays a dynamic moderating role in this relationship: a higher market integration flattens the inverted U-shaped curve and shifts the inflection point to the left, meaning that the positive impact of digital trade on carbon emission reduction occurs at an earlier stage. Additionally, the study highlights that varying levels of industrial structure, green innovation, and digital infrastructure exert heterogeneous effects on the inverted U-shaped relationship. Specifically, cities with higher levels of industrial structure, green innovation, and digital infrastructure tend to enter the carbon emission reduction phase earlier. These findings provide important insights for policymakers seeking to balance the growth of digital trade with environmental sustainability, especially in the context of tailoring differentiated policies according to the unique environmental conditions of different cities, thereby promoting the synergistic development of digital trade and carbon reduction.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"17 ","pages":"Article 100390"},"PeriodicalIF":8.0,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143394904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Storage solutions for renewable energy: A review","authors":"Eduard Enasel,&nbsp;Gheorghe Dumitrascu","doi":"10.1016/j.nexus.2025.100391","DOIUrl":"10.1016/j.nexus.2025.100391","url":null,"abstract":"<div><div>This review investigates the integration of renewable energy systems with diverse energy storage technologies to enhance reliability and sustainability. Key findings include the high energy density and scalability of lithium-ion and flow batteries, which are crucial for grid-scale applications, despite challenges in cost and raw material availability. Electrical storage methods, such as supercapacitors, provide rapid response capabilities but are limited by low energy density. Mechanical systems, including pumped hydro and compressed air storage, excel in large-scale scenarios but face geographical constraints. Emerging chemical storage technologies, including hydrogen and synthetic natural gas, offer long-term solutions but require advancements in efficiency. Thermal storage systems, such as molten salt and latent heat storage, show significant potential for renewable integration in heating and cooling, although material costs remain a barrier. The integration of hybrid systems demonstrates improved reliability and efficiency, highlighting the necessity of combining technologies to address the intermittent nature of renewable energy. Overall, the findings underscore advancements, challenges, and future research directions required for scalable and sustainable energy storage solutions.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"17 ","pages":"Article 100391"},"PeriodicalIF":8.0,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling current and future run-off and soil erosion dynamics in Eastern Mediterranean ecosystems using the WEPP model","authors":"Safwan Mohammed","doi":"10.1016/j.nexus.2025.100375","DOIUrl":"10.1016/j.nexus.2025.100375","url":null,"abstract":"<div><div>Run-off (RF) and soil erosion (SE) have a negative impact on the environmental system, with both on-site and off-site effects. This research aimed to evaluate the performance of the Water Erosion Prediction Project (WEPP) model in predicting SE and RF across four locations representing three ecosystems: agricultural land (location-KS at 8 % slope, location-MN at 20 % slope), forest (location-AINF at 35 % slope), and burned forest (location-AINBF at 35 % slope). It also predicts the future responses of the studied ecosystems to SE and RF for the upcoming 20 years. The study was conducted in the eastern Mediterranean from 2019 to 2038, 2019 served as the reference year to compare WEPP model output with measured values at the studied locations. Model performance indicators showed the applicability of WEPP model in predicting SE (model efficiency (NSE) =0.67, coefficient of determination (R²) =0.97), RF (NSE=0.66, R²=0.78). Future projections revealed that the agricultural ecosystem exceeded others in terms of SE and RF. However, annual RF can be ranked as follows: KS (234.7mm±75.6)&gt; MN (141.1mm±50.2)&gt; AINF (145.4mm±47.4) &gt; AINBF (100.3mm±49.2). Similarly, SE can be classified as: KS (2.38 kg/m² ±1.36)&gt; AINF (0.45 kg/m² ±0.17) &gt; MN (0.31 kg/m² ±0.11)&gt; AINBF (0.24 kg/m² ±0.15). However, monthly results of SE and RF were more intense in the KS location and less pronounced in the rest of the ecosystems. An analysis of associated factors, namely, soil water content (θ, %), and soil water hydraulic conductivity (K_sw, mm/hr), revealed the lowest θ values occurred during the summer season (June to August), reaching 46.3 %, 50.3 %, 46.2 %, and 49.2 %, for KS, MN, AINF, and AINBF, respectively. Conversely, the highest K_sw was forecasted in summer, ranging from 3.3 to 6.3 mm/hr. This research promotes utilizing the WEEP model as a sustainable tool for ecosystem management in the eastern Mediterranean, aiding decision-makers in rehabilitation planning.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"17 ","pages":"Article 100375"},"PeriodicalIF":8.0,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving traceability and sustainability in the agri-food industry through blockchain technology: A bibliometric approach, benefits and challenges","authors":"Oliver O. Apeh,&nbsp;Nnamdi I. Nwulu","doi":"10.1016/j.nexus.2025.100388","DOIUrl":"10.1016/j.nexus.2025.100388","url":null,"abstract":"<div><div>The globalization of the agri-food industry in recent years has increased the difficulty and complexity of improving productivity and addressing challenges in food security. Thus, advanced techniques are promptly required to tackle the present obstacles and improve the agri-food sustainability challenges. Hence, blockchain is a prospective distributed information technology that could support food supply chains by decreasing transaction time and cost, improving traceability efficiency, and developing stakeholder trust. The main aim of this paper is to examine the functionalities and characteristics of blockchain technology in the agri-food industry, explore blockchain-based solutions for addressing food traceability and sustainability challenges, and highlight the benefits and challenges related to applying blockchain-based traceability systems. This work examines 114 research papers from 2017 to 2024, demonstrating a review of bibliometric literature to propose a wide and organized body of research regarding blockchain application in the agri-food supply chain. The analysis recognizes essential ideas, fundamental themes, research gaps, and potentials in blockchain application in agri-food. Results show an exponential rise in the number of publications, ranging from 9 % in 2017 to 23 % in 2024, directed mainly at farmers’ advantage, traceability, supply chain efficiency, and food security. For accurate farming possibilities, integrating blockchain and agro-food will encourage smart farms and enhance the regulation of supply-chain systems. Similarly, the bibliometric analysis across the discipline shows that computer science accounts for 18.8 %, engineering records 59.9 %, energy shares 6.9 %, and social sciences contribute 6.5 %. The review describes substantial issues, including the absence of standardization, technical intricacy, and regulatory issues that may deter blockchain's wider application. This analysis presents a guideline for researchers and industry experts, enlightening them on the field's present state, contributing ideas to its route, and offering a basis for future study in improving the sustainability of blockchain technology within the agri-food industry.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"17 ","pages":"Article 100388"},"PeriodicalIF":8.0,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermal management of high concentrator photovoltaic module using an optimized microchannel heat sink","authors":"Salah Haridy ,&nbsp;Ali Radwan ,&nbsp;Ahmed Saad Soliman ,&nbsp;Essam Abo-Zahhad ,&nbsp;Osama Abdelrehim","doi":"10.1016/j.nexus.2025.100376","DOIUrl":"10.1016/j.nexus.2025.100376","url":null,"abstract":"<div><div>Microchannel heat sinks (MCHSs) are compact and powerful thermal management devices for concentrator photovoltaic (CPV) modules. This study optimizes the thermal-hydraulic performance of a new MCHS, which is then integrated with a CPV module to ensure efficient thermal management and safe operation. An integrated framework combining computational fluid dynamics simulation and response surface methodology is proposed to analyze and optimize the thermal-hydraulic performance of the MCHS fitted with a twisted tape insert. The effects of fluid inlet velocity, insert initial distance, insert pitch, and insert length on various responses, including the MCHS thermal resistance (<em>R</em>_<em>th</em>), rate of the entropy generation ratio (<em>S</em>_<em>gen</em><em>/S</em>_{<em>gen,o</em>}), heated wall temperature non-uniformity ratio (<em>ΔT/ΔT</em>_<em>o</em>), Nusselt number (<em>Nu</em>), and figure of merits (FOM) are comprehensively evaluated. The results reveal that to minimize the <em>ΔT/ΔT</em>_<em>o</em>, <em>R</em>_<em>th</em>, and <em>S</em>_<em>gen</em><em>/S</em>_{<em>gen,o</em>} while maximizing <em>Nu</em> and FOM, a fluid velocity of 2.11 m/s, an initial distance of 7.47 mm, a pitch of 2 mm, and a twisted tape length of approximately 30 mm should be used. Under these conditions, the predicted responses are <em>R</em>_<em>th</em> = 0.775, <em>Nu</em> = 19.232, FOM = 1.271, S_gen/S_gen,<em>_o</em> = 0.596 and <em>ΔT/ΔT</em>_<em>o</em> = 0.274. Integrating these optimized MCHS dimensions with a CPV module operating at a solar concentration of 1000 suns results in a 22.5% reduction in the average CPV module temperature, compared to a smooth MCHS.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"17 ","pages":"Article 100376"},"PeriodicalIF":8.0,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143428232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Greening enhanced oil recovery: A solar tower and PV-assisted approach to post-combustion carbon capture with machine learning insights","authors":"Farzin Hosseinifard ,&nbsp;Milad Hosseinpour ,&nbsp;Mohsen Salimi ,&nbsp;Majid Amidpour","doi":"10.1016/j.nexus.2025.100381","DOIUrl":"10.1016/j.nexus.2025.100381","url":null,"abstract":"<div><div>Carbon Capture Utilization and Storage (CCUS) has become a cornerstone in reducing industrial emissions, mainly through Enhanced Oil Recovery (EOR) in underground reservoirs. Conventional post-combustion carbon capture (PCC) systems, however, face significant energy penalty challenges. This study introduces an innovative solar-assisted approach to optimize the EOR factor while reducing the energy penalty. The proposed system uniquely integrates solar tower heliostats and photovoltaic (PV) systems with up to 7 h of energy storage, marking a dual solar energy integration as the core innovation. This hybrid configuration reduces the energy penalty factor from 21.2 % to 7.4 %. To further enhance operational efficiency, the study incorporates a novel compression stream configuration with process integration into the PCC system. Machine learning models, including linear regression, random forest, decision tree, and XGBoost, were employed to model and predict EOR factors using CO₂ streams from a large-scale carbon capture unit at the Abadan power plant in Iran. The decision tree model achieved superior performance with an R² of 0.98 and accurately forecasted an increase in EOR factor from 19 % to 43.16 %. By combining solar-driven energy systems with advanced CO₂ capture and predictive modeling, this study establishes a sustainable and energy-efficient framework for EOR enhancement. The dual integration of solar towers and PV systems represents a significant leap in reducing fossil fuel dependence and carbon emissions while demonstrating practical applicability in high-emission regions like Abadan.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"17 ","pages":"Article 100381"},"PeriodicalIF":8.0,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimisation of flow configuration for PVT system assisted by MgO nanoparticles PCM cooling","authors":"W. Phukaokaew ,&nbsp;A. Suksri ,&nbsp;K. Punyawudho ,&nbsp;T. Wongwuttanasatian","doi":"10.1016/j.nexus.2025.100389","DOIUrl":"10.1016/j.nexus.2025.100389","url":null,"abstract":"<div><div>To improve the global environment, it is essential to address the significant concerns raised by the rising energy demand. Thermal photovoltaic (PVT) systems enjoy widespread popularity. These systems convert solar energy into electrical/thermal energy; however, elevated temperatures cause problems. Magnesium oxide (MgO) nanoparticles and lauric acid (LA) phase change material (PCM) were utilized. The two were combined and filled into a container. The container's distinctive design incorporates a fully organized micro-channel structure as well as eight integrated water tubes. The system works by first absorbing waste heat from the PV module and then directing it into the water tubes for further utilization. The study also examined the effects of water tube configurations, using three different types: a U-tube, a half-serpentine flow, and a serpentine flow. These configurations affected the absorption of heat from the PV panel, which improved both the power generation and the overall efficiency of the PVT system. Furthermore, the investigation tested the PVT system's water inlet using dimensionless water flow (Reynolds numbers, <em>Re</em>) levels ranging from 1100 to 7700. The findings indicate that every level of <em>Re</em> increases electrical efficiency, with the U-tube configuration approach producing the maximum value. In addition, when it comes to thermal efficiency, serpentine flow configurations yield the highest improvement. The most optimal tube arrangement is a serpentine configuration at <em>Re</em> = 5500, which reduces the PV surface temperature by 3.14 °C while achieving the highest overall efficiency of 80.63 %.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"17 ","pages":"Article 100389"},"PeriodicalIF":8.0,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Techno-economic assessment of PV-diesel-battery hybrid systems for poultry farms: A case study in North Carolina","authors":"Weimin Wang,&nbsp;David Simonson","doi":"10.1016/j.nexus.2025.100372","DOIUrl":"10.1016/j.nexus.2025.100372","url":null,"abstract":"<div><div>This paper presents the techno-economic assessment of PV-diesel-battery hybrid systems for poultry farms via the use of HOMER simulation software. A generic configuration is defined separately for grid-tied and off-grid systems. Major component sizes are then optimized for eight cases with varying utility rates and solar power compensation mechanisms. The case study is based on a farm with three mega-size broiler houses in North Carolina. The results show that after leveraging federal incentives, grid-tied PV investment is profitable only for one case, which has a 20-kW PV as the optimal size and leads to the net present cost $3,200 less than the base case of not using PV. Battery is not yet cost effective at current market conditions. The off-grid hybrid system has $370,000 to $560,000 higher net present cost than the grid-tied systems. The battery price, the PV price, and the diesel price have an ascending order of significance with respect to their impact on the net present cost for the off-grid hybrid system.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"17 ","pages":"Article 100372"},"PeriodicalIF":8.0,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}