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Does oil dependence cause energy risk?
IF 8 Q1 ENERGY & FUELS Pub Date : 2025-02-10 DOI: 10.1016/j.nexus.2025.100393
Bekhzod Kuziboev , Elbek Khodjaniyazov , Ilhan Ozturk , Khamid Sabirov , Samariddin Makhmudov , Sarbinaz Utegenova
These days, the issue of energy risk is becoming more prevalent worldwide. Particularly, the issue of oil dependence raises awareness. The previous studies provide very limited background to this issue because of the absence of an energy risk variable. In this context, this study is a pioneer as it empirically assesses the effect of oil dependence on energy risk, a novel variable that has never been applied before, in 84 countries using annual data from 2000 to 2021. The estimations are conducted in the sample of the world and development stage, employing the Method of Moments Quantile Regression (MMQR), which allows us to estimate the impact of oil dependence on energy risk at various quantiles of energy risk. The findings reveal that dependence on oil resources leads to energy risk in the world and developing countries, whereas in developed countries oil dependence does not cause energy risk. We assume that developed countries, with their advanced technological capabilities and strong international collaboration, have adopted various alternative energy sources. Therefore, as policy implications, enhancing energy source diversification is suggested since dependence of energy consumption on various sources mitigates oil dependence, thus energy risk. Furthermore, we emphasize the significance of technological progress, as it determines the efficient and minimal use of energy resources and oil, both of which depend on the level of technological advancement. Furthermore, enhancing the involvement of international organizations in energy cooperation is crucial for managing effective energy distribution.
{"title":"Does oil dependence cause energy risk?","authors":"Bekhzod Kuziboev ,&nbsp;Elbek Khodjaniyazov ,&nbsp;Ilhan Ozturk ,&nbsp;Khamid Sabirov ,&nbsp;Samariddin Makhmudov ,&nbsp;Sarbinaz Utegenova","doi":"10.1016/j.nexus.2025.100393","DOIUrl":"10.1016/j.nexus.2025.100393","url":null,"abstract":"<div><div>These days, the issue of energy risk is becoming more prevalent worldwide. Particularly, the issue of oil dependence raises awareness. The previous studies provide very limited background to this issue because of the absence of an energy risk variable. In this context, this study is a pioneer as it empirically assesses the effect of oil dependence on energy risk, a novel variable that has never been applied before, in 84 countries using annual data from 2000 to 2021. The estimations are conducted in the sample of the world and development stage, employing the Method of Moments Quantile Regression (MMQR), which allows us to estimate the impact of oil dependence on energy risk at various quantiles of energy risk. The findings reveal that dependence on oil resources leads to energy risk in the world and developing countries, whereas in developed countries oil dependence does not cause energy risk. We assume that developed countries, with their advanced technological capabilities and strong international collaboration, have adopted various alternative energy sources. Therefore, as policy implications, enhancing energy source diversification is suggested since dependence of energy consumption on various sources mitigates oil dependence, thus energy risk. Furthermore, we emphasize the significance of technological progress, as it determines the efficient and minimal use of energy resources and oil, both of which depend on the level of technological advancement. Furthermore, enhancing the involvement of international organizations in energy cooperation is crucial for managing effective energy distribution.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"17 ","pages":"Article 100393"},"PeriodicalIF":8.0,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403192","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}
引用次数: 0
Advancements in zinc-air battery technology and water-splitting
IF 8 Q1 ENERGY & FUELS Pub Date : 2025-02-10 DOI: 10.1016/j.nexus.2025.100387
Rouba D. Al Bostami , Amani Al Othman , Muhammad Tawalbeh , Abdul Ghani Olabi
Zinc-air batteries (ZABs) are gaining significant attention as promising energy storage solutions due to their high energy density, affordability, abundance, and sustainability. Rechargeable zinc-air batteries (Re-ZABs) emerged as a viable alternative for consumer electronics and electric vehicles, offering extended operational life and improved safety features. Recent advancements in Re-ZAB technology have been focusing on enhancing key components, such as air cathodes, zinc (Zn) anodes, and gas diffusion membranes, to improve energy storage capacity and battery lifespan. However, widespread commercial adoption remains hindered by persistent challenges, including dendrite formation, Zn anode passivation, corrosion, and limited charge-discharge cycles. Additionally, the slow kinetics of oxygen electrochemical reactions (oxygen reduction reaction (ORR), oxygen evolution reaction (OER), and hydrogen evolution reaction (HER)), and the interaction of oxygen with battery components present significant technical barriers. The development of durable and efficient oxygen electrocatalysts is essential for advancing Re-ZABs and related energy conversion technologies, such as fuel cells and water-splitting systems. This review provides a comprehensive overview of ZAB fundamentals, covering the transition from primary ZABs (Pr-ZABs) to rechargeable systems, alongside strategies to enhance battery efficiency and rechargeability. Particular attention is given to addressing Zn anode challenges, improving air cathodes, and evaluating the latest progress in unifunctional, bifunctional, and trifunctional electrocatalysts, including noble metal, transition metal, metal-organic framework (MOF)-based, and carbon-based materials. Finally, future research directions and potential advancements in Re-ZAB technology are explored, emphasizing their role in sustainable energy solutions.
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引用次数: 0
Compatibility analysis of novel inorganic cesium perovskites with emerging charge transport layers through design optimization
IF 8 Q1 ENERGY & FUELS Pub Date : 2025-02-10 DOI: 10.1016/j.nexus.2025.100400
Anas Ahmad , Shayan Tariq Jan , Haseeb Ahmad Khan , Muhammad Sheraz , Wajahat Ullah Khan Tareen , Teong Chee Chuah , It Ee Lee , Haider Ali
The widely used Methylammonium lead iodide perovskite face stability challenges due to the organic methylammonium component, which degrades under environmental factors like moisture and heat, leading to toxic lead leakage, poisoning the surroundings. This study analyzes the compatibility of alternative inorganic, nontoxic, cesium-based planar (n-i-p) perovskite solar cells (PSCs), specifically Cs₃Bi₂I₉ and CsSnI₃, with various charge transport layers (CTLs) to enhance power conversion efficiency (PCE). A total of eight PSC configurations were simulated using SCAPS-1D software, with the selected CTLs including GO, MoS₂, CeO₂ and WO₃. The initial optimization step involved adjusting the absorber thickness, leading to enhanced photon absorption and increased PCE across all configurations. Further optimization of CTL doping, carrier mobility, and electron affinity improved band alignment, electric potential distribution, and cell conductivity. These optimizations reduced recombination losses and enhanced charge carrier extraction. A second round of absorber thickness optimization was then performed, accounting for the changes induced by the previous steps. As a result, the PCE improved significantly, with the highest efficiency reaching 21.52% in the GO/CsSnI₃/CeO₂ structure. Other optimized configurations, such as GO/CsSnI₃/WO₃ and MoS₂/CsSnI₃/WO₃, achieved PCE values of 21.4% and 15.64%, respectively. This multi-step optimization demonstrates that cesium-based perovskites, when combined with properly tuned CTLs, can achieve high efficiencies, positioning them as promising materials for the next generation of photovoltaics.
{"title":"Compatibility analysis of novel inorganic cesium perovskites with emerging charge transport layers through design optimization","authors":"Anas Ahmad ,&nbsp;Shayan Tariq Jan ,&nbsp;Haseeb Ahmad Khan ,&nbsp;Muhammad Sheraz ,&nbsp;Wajahat Ullah Khan Tareen ,&nbsp;Teong Chee Chuah ,&nbsp;It Ee Lee ,&nbsp;Haider Ali","doi":"10.1016/j.nexus.2025.100400","DOIUrl":"10.1016/j.nexus.2025.100400","url":null,"abstract":"<div><div>The widely used Methylammonium lead iodide perovskite face stability challenges due to the organic methylammonium component, which degrades under environmental factors like moisture and heat, leading to toxic lead leakage, poisoning the surroundings. This study analyzes the compatibility of alternative inorganic, nontoxic, cesium-based planar (n-i-p) perovskite solar cells (PSCs), specifically Cs₃Bi₂I₉ and CsSnI₃, with various charge transport layers (CTLs) to enhance power conversion efficiency (PCE). A total of eight PSC configurations were simulated using SCAPS-1D software, with the selected CTLs including GO, MoS₂, CeO₂ and WO₃. The initial optimization step involved adjusting the absorber thickness, leading to enhanced photon absorption and increased PCE across all configurations. Further optimization of CTL doping, carrier mobility, and electron affinity improved band alignment, electric potential distribution, and cell conductivity. These optimizations reduced recombination losses and enhanced charge carrier extraction. A second round of absorber thickness optimization was then performed, accounting for the changes induced by the previous steps. As a result, the PCE improved significantly, with the highest efficiency reaching 21.52% in the GO/CsSnI₃/CeO₂ structure. Other optimized configurations, such as GO/CsSnI₃/WO₃ and MoS₂/CsSnI₃/WO₃, achieved PCE values of 21.4% and 15.64%, respectively. This multi-step optimization demonstrates that cesium-based perovskites, when combined with properly tuned CTLs, can achieve high efficiencies, positioning them as promising materials for the next generation of photovoltaics.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"17 ","pages":"Article 100400"},"PeriodicalIF":8.0,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403194","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}
引用次数: 0
Role of mineral resource rents, renewable energy, and energy efficiency toward carbon neutrality in China
IF 8 Q1 ENERGY & FUELS Pub Date : 2025-02-10 DOI: 10.1016/j.nexus.2025.100394
Asif Raihan , Grzegorz Zimon , Mohammad Ridwan , Md Masudur Rahman , Mahdi Salehi
Environmental degradation has made climate change and global warming major global issues. Countries worldwide have set targets to reduce carbon emissions. Transitioning to clean energy, responsible resource extraction, and improving energy utilization are critical for preserving the ecosystem and reducing greenhouse gases. This study analyzes China's carbon emissions from 1990 to 2021, including factors like mineral resource extraction, economic growth, renewable energy use, and energy efficiency advancements. The paper uses advanced econometric methods including unit root testing, long-run cointegration analysis using the Autoregressive Distributed Lag (ARDL) framework, and empirical analysis with the Dynamic Ordinary Least Squares Estimator (DOLS). The results indicate that extraction of natural resources, upgrades in energy efficiency, and utilization of clean energy sources have an adverse link with carbon emissions, thereby emphasizing the positive effects on the environment. Conversely, there is an encouraging connection between economic growth and carbon emissions. These findings emphasize the importance of allocating resources toward renewable energy technologies to promote eco-friendly production and maximize mineral resource utilization. In order to effectively address global warming, policymakers and practitioners must prioritize the allocation of funds to the creation of green and alternative energy sources, the improvement of energy effectiveness, and the optimization of resource utilization.
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引用次数: 0
The non-linear impact of digital trade development on carbon emissions: Evidence from Chinese cities
IF 8 Q1 ENERGY & FUELS Pub Date : 2025-02-10 DOI: 10.1016/j.nexus.2025.100390
Xiangxiang Zhou , Hui Guo
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.
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引用次数: 0
Improving traceability and sustainability in the agri-food industry through blockchain technology: A bibliometric approach, benefits and challenges
IF 8 Q1 ENERGY & FUELS Pub Date : 2025-02-09 DOI: 10.1016/j.nexus.2025.100388
Oliver O. Apeh, Nnamdi I. Nwulu
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.
{"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}
引用次数: 0
Greening enhanced oil recovery: A solar tower and PV-assisted approach to post-combustion carbon capture with machine learning insights
IF 8 Q1 ENERGY & FUELS Pub Date : 2025-02-09 DOI: 10.1016/j.nexus.2025.100381
Farzin Hosseinifard , Milad Hosseinpour , Mohsen Salimi , Majid Amidpour
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.
{"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 CO<sub>2</sub> 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 CO<sub>2</sub> 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}
引用次数: 0
Optimisation of flow configuration for PVT system assisted by MgO nanoparticles PCM cooling
IF 8 Q1 ENERGY & FUELS Pub Date : 2025-02-09 DOI: 10.1016/j.nexus.2025.100389
W. Phukaokaew , A. Suksri , K. Punyawudho , T. Wongwuttanasatian
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, Re) levels ranging from 1100 to 7700. The findings indicate that every level of Re 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 Re = 5500, which reduces the PV surface temperature by 3.14 °C while achieving the highest overall efficiency of 80.63 %.
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引用次数: 0
Techno-economic assessment of PV-diesel-battery hybrid systems for poultry farms: A case study in North Carolina
IF 8 Q1 ENERGY & FUELS Pub Date : 2025-02-09 DOI: 10.1016/j.nexus.2025.100372
Weimin Wang, David Simonson
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.
{"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}
引用次数: 0
Techno-economic and life cycle greenhouse gas assessment of green ammonia produced by low-pressure Haber-Bosch process
IF 8 Q1 ENERGY & FUELS Pub Date : 2025-02-09 DOI: 10.1016/j.nexus.2025.100379
Guohui Song , Yumeng Chen , Yingfeng He , Qize Jia , Qingjiao Wu , Xiaobo Cui , Hao Zhao
Green ammonia can be used as an energy storage carrier and a sustainable chemical. To improve the competitiveness of green ammonia, two power-to-ammonia (PtA) processes integrated with low-pressure (LP) and ultra-low-pressure (ULP) Haber-Bosch (HB) techniques were designed and optimized based on technical, economic, and environmental performances. The effects of multiple variables were studied. The LP technique is preferred over the ULP technique because the latter has a more complex configuration and a slightly higher levelized cost. The systematic energy efficiency excluding or including the cold energy of liquid ammonia reaches 68.71 % or 73.75 %, respectively. The unit power consumption of green ammonia is as low as 7.64 kWh/kg. The plant scale should not be <10 t/h. Based on the electricity price for energy storage (0.041 €/kWh), the equivalent operating hours should exceed 5000 h to achieve profitability. The life cycle greenhouse gas emission of green ammonia derived from wind power under the Chinese scenario is 257–316 kgCO2e/t. The life cycle ammonia emissions with NH3 recovery from the purge gas is <0.06 kgNH3/t. This study indicates that the PtA technology can efficiently store intermittent electricity with cold energy utilization and effectively decarbonize the ammonia industry.
{"title":"Techno-economic and life cycle greenhouse gas assessment of green ammonia produced by low-pressure Haber-Bosch process","authors":"Guohui Song ,&nbsp;Yumeng Chen ,&nbsp;Yingfeng He ,&nbsp;Qize Jia ,&nbsp;Qingjiao Wu ,&nbsp;Xiaobo Cui ,&nbsp;Hao Zhao","doi":"10.1016/j.nexus.2025.100379","DOIUrl":"10.1016/j.nexus.2025.100379","url":null,"abstract":"<div><div>Green ammonia can be used as an energy storage carrier and a sustainable chemical. To improve the competitiveness of green ammonia, two power-to-ammonia (PtA) processes integrated with low-pressure (LP) and ultra-low-pressure (ULP) Haber-Bosch (HB) techniques were designed and optimized based on technical, economic, and environmental performances. The effects of multiple variables were studied. The LP technique is preferred over the ULP technique because the latter has a more complex configuration and a slightly higher levelized cost. The systematic energy efficiency excluding or including the cold energy of liquid ammonia reaches 68.71 % or 73.75 %, respectively. The unit power consumption of green ammonia is as low as 7.64 kWh/kg. The plant scale should not be &lt;10 t/h. Based on the electricity price for energy storage (0.041 €/kWh), the equivalent operating hours should exceed 5000 h to achieve profitability. The life cycle greenhouse gas emission of green ammonia derived from wind power under the Chinese scenario is 257–316 kgCO<sub>2</sub>e/t. The life cycle ammonia emissions with NH<sub>3</sub> recovery from the purge gas is &lt;0.06 kgNH<sub>3</sub>/t. This study indicates that the PtA technology can efficiently store intermittent electricity with cold energy utilization and effectively decarbonize the ammonia industry.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"17 ","pages":"Article 100379"},"PeriodicalIF":8.0,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387081","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}
引用次数: 0
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Energy nexus
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