Pub Date : 2026-01-10DOI: 10.1016/j.nexus.2026.100641
Mohammad Mynul Islam Mahin, Md Jawad Bin Rouf, Shah Murtoza Morshed, Sheak Salman, Md Shihab Shakur, Mohammad Morshed, Md. Parvez
Energy forecasting of generation, demand, sources, and prices over short-time horizons is necessary for optimization of energy management. Given the increased use of developing technologies and reliance on renewable energy sources, strategic planning, management, and operational decision-making depend on accuracy and reliability of forecasting system. Complex interconnections reside among energy features in modern day power systems. Developing nations such as Bangladesh encounter challenges, including insufficient advanced tools for power planning and policy development. Previous studies have often focused on forecasting a single energy variable, like load or demand, with little attention on multiple energy parameters, and the interrelations among them. This study introduces a Hybrid Neural-SVM Ensemble (HNSE) model to simultaneously forecast day-ahead daily total energy generation, non-renewable energy generation, fuel cost, and evening peak demand of national grid of Bangladesh. Utilizing the Power Grid Company of Bangladesh’s (PGCB) data, HNSE went through processing and hyperparameter optimization. Performance evaluation based on five statistical indices demonstrated the model's predictive capabilities, with a coefficient of determination (R2) of 0.9744, and a mean squared error (MSE) of 0.0291. Additionally, the study utilizes the Kernel-based Changepoint Detection (KernelCPD) algorithm to detect structural shifts in residuals, and two explainable artificial intelligence (XAI) methods, Local Interpretable Model-Agnostic Explanations (LIME) and SHapley Additive exPlanations (SHAP), for feature contribution analysis to provide local and global interpretability. The aim is to offer actionable guidance for policymakers and stakeholders in mitigating current energy crises in Bangladesh through strategic decision-making and support the development of sustainable energy policies in emerging economies.
{"title":"Multivariate time series energy forecasting using a hybrid neural-SVM ensemble model: A data-driven approach for energy management in Bangladesh","authors":"Mohammad Mynul Islam Mahin, Md Jawad Bin Rouf, Shah Murtoza Morshed, Sheak Salman, Md Shihab Shakur, Mohammad Morshed, Md. Parvez","doi":"10.1016/j.nexus.2026.100641","DOIUrl":"10.1016/j.nexus.2026.100641","url":null,"abstract":"<div><div>Energy forecasting of generation, demand, sources, and prices over short-time horizons is necessary for optimization of energy management. Given the increased use of developing technologies and reliance on renewable energy sources, strategic planning, management, and operational decision-making depend on accuracy and reliability of forecasting system. Complex interconnections reside among energy features in modern day power systems. Developing nations such as Bangladesh encounter challenges, including insufficient advanced tools for power planning and policy development. Previous studies have often focused on forecasting a single energy variable, like load or demand, with little attention on multiple energy parameters, and the interrelations among them. This study introduces a Hybrid Neural-SVM Ensemble (HNSE) model to simultaneously forecast day-ahead daily total energy generation, non-renewable energy generation, fuel cost, and evening peak demand of national grid of Bangladesh. Utilizing the Power Grid Company of Bangladesh’s (PGCB) data, HNSE went through processing and hyperparameter optimization. Performance evaluation based on five statistical indices demonstrated the model's predictive capabilities, with a coefficient of determination (R<sup>2</sup>) of 0.9744, and a mean squared error (MSE) of 0.0291. Additionally, the study utilizes the Kernel-based Changepoint Detection (KernelCPD) algorithm to detect structural shifts in residuals, and two explainable artificial intelligence (XAI) methods, Local Interpretable Model-Agnostic Explanations (LIME) and SHapley Additive exPlanations (SHAP), for feature contribution analysis to provide local and global interpretability. The aim is to offer actionable guidance for policymakers and stakeholders in mitigating current energy crises in Bangladesh through strategic decision-making and support the development of sustainable energy policies in emerging economies.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"21 ","pages":"Article 100641"},"PeriodicalIF":9.5,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-10DOI: 10.1016/j.nexus.2026.100638
Zhou Yunlong , Sun Meng
Solar photocatalytic hydrogen production is an important technology for green hydrogen energy production. However, due to the limitation of the light absorption band of photocatalysts, the most commonly used catalysts are difficult to achieve efficient and stable photocatalysis under sunlight. Herein, a carbon microsphere-WO3 composite photocatalytic material was prepared by hydrothermal synthesis, which accelerated the directional transfer of photogenerated electrons. There is a strong local electric field effect in the carbon microsphere-WO3 composite photocatalytic material, promoting the directional transfer of electrons. Photogenerated carriers rapidly migrate from WO3 to the active sites on the surface of carbon microspheres, improving the kinetics of the photocatalytic H+ reduction reaction and accelerating the efficiency of solar photocatalytic hydrogen production. When the doping concentration of carbon microspheres is 30%, the photocatalytic hydrogen production rate of the composite material reaches 520 μmol·h-1·g-1, which is 32.5 times that of pure WO3. The carbon microsphere-WO3 composite photocatalytic material has superior photo-stability and recyclability. The experimental results reveal the reaction mechanism of the efficient catalysis of the composite material. This study opens up new prospects for the practical application of photocatalysts.
{"title":"Study on the local electric field effect of electron transfer in straw-derived carbon microsphere-WO3 composite materials: Photocatalytic hydrogen production performance and mechanism under solar light","authors":"Zhou Yunlong , Sun Meng","doi":"10.1016/j.nexus.2026.100638","DOIUrl":"10.1016/j.nexus.2026.100638","url":null,"abstract":"<div><div>Solar photocatalytic hydrogen production is an important technology for green hydrogen energy production. However, due to the limitation of the light absorption band of photocatalysts, the most commonly used catalysts are difficult to achieve efficient and stable photocatalysis under sunlight. Herein, a carbon microsphere-WO<sub>3</sub> composite photocatalytic material was prepared by hydrothermal synthesis, which accelerated the directional transfer of photogenerated electrons. There is a strong local electric field effect in the carbon microsphere-WO<sub>3</sub> composite photocatalytic material, promoting the directional transfer of electrons. Photogenerated carriers rapidly migrate from WO<sub>3</sub> to the active sites on the surface of carbon microspheres, improving the kinetics of the photocatalytic H<sup>+</sup> reduction reaction and accelerating the efficiency of solar photocatalytic hydrogen production. When the doping concentration of carbon microspheres is 30%, the photocatalytic hydrogen production rate of the composite material reaches 520 μmol·h<sup>-1</sup>·g<sup>-1</sup>, which is 32.5 times that of pure WO<sub>3</sub>. The carbon microsphere-WO<sub>3</sub> composite photocatalytic material has superior photo-stability and recyclability. The experimental results reveal the reaction mechanism of the efficient catalysis of the composite material. This study opens up new prospects for the practical application of photocatalysts.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"21 ","pages":"Article 100638"},"PeriodicalIF":9.5,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-10DOI: 10.1016/j.nexus.2026.100640
Safa Slouma , Abdessami Soyed
This study deals with a first approach to exploit the Nexus Approach applied to PV-powered irrigation in North Africa—a region with high solar potential but water scarcity, such as Tunisia. Tunisia had faced an arid and very changeable climate, including significant decreases in annual rainfall (455 mm per year). This research focuses on a techno-economic, social and environmental assessment of a standalone solar-powered irrigation system (SPVWPS) in the Tunisian area, based on the Water-Energy-Food (WEF) Nexus approach. It proposes a holistic assessment framework that synthesizes these interconnected dimensions. The study assesses the system's optimal sizing, economic feasibility, and social and environmental benefits by employing an optimization framework that combines solar energy potential, crop water requirements, and cost-effectiveness. Via PVsyst software, the system's performance is simulated under varying climatic conditions, with sensitivity analyses conducted to evaluate the component costs’ impact, solar irradiance variations, and water demand shapes. Economic indicators such as Net Present Value are analyzed, while environmental benefits are quantified in terms of CO₂ emissions reduction compared to conventional diesel-powered systems. Results demonstrate that the proposed SPVWPS is economically feasible and significant reductions in greenhouse gas emissions avoid >3348.57 kg of CO2 per year. The nexus approach further highlights the system's potential to enhance water-use efficiency with an average exceeding 20 m³ per day and crop productivity. This average can irrigate up to 1.5 hectares of olive crops. Policy recommendations are provided to facilitate large-scale adoption, emphasizing the role of subsidies and technical training. This study contributes to offering a replicable model for similar arid regions in North Africa.
{"title":"Optimal techno-economic and environmental assessment of a standalone solar-powered irrigation system in North Africa based on the nexus approach","authors":"Safa Slouma , Abdessami Soyed","doi":"10.1016/j.nexus.2026.100640","DOIUrl":"10.1016/j.nexus.2026.100640","url":null,"abstract":"<div><div>This study deals with a first approach to exploit the Nexus Approach applied to PV-powered irrigation in North Africa—a region with high solar potential but water scarcity, such as Tunisia. Tunisia had faced an arid and very changeable climate, including significant decreases in annual rainfall (455 mm per year). This research focuses on a techno-economic, social and environmental assessment of a standalone solar-powered irrigation system (SPVWPS) in the Tunisian area, based on the Water-Energy-Food (WEF) Nexus approach. It proposes a holistic assessment framework that synthesizes these interconnected dimensions. The study assesses the system's optimal sizing, economic feasibility, and social and environmental benefits by employing an optimization framework that combines solar energy potential, crop water requirements, and cost-effectiveness. Via PVsyst software, the system's performance is simulated under varying climatic conditions, with sensitivity analyses conducted to evaluate the component costs’ impact, solar irradiance variations, and water demand shapes. Economic indicators such as Net Present Value are analyzed, while environmental benefits are quantified in terms of CO₂ emissions reduction compared to conventional diesel-powered systems. Results demonstrate that the proposed SPVWPS is economically feasible and significant reductions in greenhouse gas emissions avoid >3348.57 kg of CO<sub>2</sub> per year. The nexus approach further highlights the system's potential to enhance water-use efficiency with an average exceeding 20 m³ per day and crop productivity. This average can irrigate up to 1.5 hectares of olive crops. Policy recommendations are provided to facilitate large-scale adoption, emphasizing the role of subsidies and technical training. This study contributes to offering a replicable model for similar arid regions in North Africa.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"21 ","pages":"Article 100640"},"PeriodicalIF":9.5,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-09DOI: 10.1016/j.nexus.2026.100636
Faizan A. Beerwala , Shruti V. Kolambkar , Vishal S. Patil , Adilmehadi Karikazi , Nayeem A. Khatib , Harish R. Darasaguppe , Subarna Roy
Olanzapine (OLZ), a widely prescribed atypical antipsychotic, is notably associated with the onset of cardiometabolic disorders (CMDs). Lagenaria siceraria, traditionally recognized for its cardioprotective effects and benefits for CMD(s). However, its potential in mitigating OLZ-induced CMD(s) has not been extensively explored. This study aims to assess the efficacy and underlying mechanisms of Lagenaria siceraria hydroalcoholic extract (LSE) in counteracting OLZ-induced CMD(s) through in vitro and computational approaches. The effects of LSE on OLZ-challenged H9c2(2-1) cardiomyocytes were evaluated by measuring lactate dehydrogenase (LDH), creatine kinase-MB (CK-MB), nitric oxide (NO), and glucose utilization. Additionally, the expression of essential key genes (such as IL6, BAX, BCL2, CASP3, CAMK2B) implicated in OLZ-induced CMD(s) was analysed using qRT-PCR. Computational analyses, including gene set enrichment, network pharmacology, and molecular docking via (AutoDock Vina, POAP pipeline), followed by molecular dynamics (MD) simulations, MM-PBSA, and binding stability assessments via (GROMACS), were employed to predict compound-target interactions. The results demonstrated that LSE significantly attenuated OLZ-induced elevations in LDH, CK-MB, and NO levels while enhancing glucose utilization in cardiomyoblasts. LSE also modulated gene expression by downregulating IL6, BAX, CASP3, and CAMK2B, while upregulating BCL2. Network pharmacology identified 10 phytocompounds from LSE targeting 17 common proteins involved in OLZ-induced CMD(s), with beta-sitosterol- AKT and beta-sitosterol- CALM1 complexes exhibiting the strongest binding affinities. MD simulations confirmed the stability of these interactions over a 100 ns period. In conclusion, the findings suggest that LSE holds cardioprotective potential against OLZ-induced CMD(s). Further research, including studies with purified compounds and clinical trials, is necessary to evaluate LSE as an adjunctive therapeutic agent.
{"title":"Synergizing In Vitro and energy-based computational approaches to investigate the potential of Lagenaria siceraria against olanzapine-induced cardiometabolic disorders using H9c2 (2-1) cardiomyocytes","authors":"Faizan A. Beerwala , Shruti V. Kolambkar , Vishal S. Patil , Adilmehadi Karikazi , Nayeem A. Khatib , Harish R. Darasaguppe , Subarna Roy","doi":"10.1016/j.nexus.2026.100636","DOIUrl":"10.1016/j.nexus.2026.100636","url":null,"abstract":"<div><div>Olanzapine (OLZ), a widely prescribed atypical antipsychotic, is notably associated with the onset of cardiometabolic disorders (CMDs). <em>Lagenaria siceraria,</em> traditionally recognized for its cardioprotective effects and benefits for CMD(s). However, its potential in mitigating OLZ-induced CMD(s) has not been extensively explored. This study aims to assess the efficacy and underlying mechanisms of <em>Lagenaria siceraria</em> hydroalcoholic extract (LSE) in counteracting OLZ-induced CMD(s) through <em>in vitro</em> and computational approaches. The effects of LSE on OLZ-challenged H9c2(2-1) cardiomyocytes were evaluated by measuring lactate dehydrogenase (LDH), creatine kinase-MB (CK-MB), nitric oxide (NO), and glucose utilization. Additionally, the expression of essential key genes (such as IL6, BAX, BCL2, CASP3, CAMK2B) implicated in OLZ-induced CMD(s) was analysed using qRT-PCR. Computational analyses, including gene set enrichment, network pharmacology, and molecular docking <em>via</em> (AutoDock Vina, POAP pipeline), followed by molecular dynamics (MD) simulations, MM-PBSA, and binding stability assessments <em>via</em> (GROMACS), were employed to predict compound-target interactions. The results demonstrated that LSE significantly attenuated OLZ-induced elevations in LDH, CK-MB, and NO levels while enhancing glucose utilization in cardiomyoblasts. LSE also modulated gene expression by downregulating IL6, BAX, CASP3, and CAMK2B, while upregulating BCL2. Network pharmacology identified 10 phytocompounds from LSE targeting 17 common proteins involved in OLZ-induced CMD(s), with beta-sitosterol- AKT and beta-sitosterol- CALM1 complexes exhibiting the strongest binding affinities. MD simulations confirmed the stability of these interactions over a 100 ns period. In conclusion, the findings suggest that LSE holds cardioprotective potential against OLZ-induced CMD(s). Further research, including studies with purified compounds and clinical trials, is necessary to evaluate LSE as an adjunctive therapeutic agent.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"21 ","pages":"Article 100636"},"PeriodicalIF":9.5,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-09DOI: 10.1016/j.nexus.2026.100631
Heba I. Khafajah , Mostafa M. Abdelsamie , Mohamed I. Hassan Ali
Cement production is one of the most energy- and carbon-intensive industrial activities, with a large fraction of the fuel input rejected as medium- and low-grade waste heat from cyclone preheaters and clinker coolers. This study proposes and evaluates a waste-heat-driven trigeneration system for a 5,000 t·day⁻¹ dry-process cement plant that simultaneously delivers electricity, process cooling, and desalinated water, thereby addressing coupled energy–water challenges in water-stressed regions. The configuration cascades multi-grade waste heat through three thermally coupled subsystems: (i) a cascade Organic Rankine Cycle (C-ORC) with high- and low-pressure loops matched to the preheater (300–380 °C) and clinker-cooler (250–340 °C) exhausts, (ii) an internally recuperated double-effect LiBr/H₂O absorption chiller (DEAC), and (iii) a 20-stage brine-recirculation multi-stage flash (MSF) desalination unit fed by a closed hot-water loop with a top-brine temperature of 103 °C, below typical CaSO₄/CaCO₃ scaling limits. Aspen Plus V14 simulations show that the preferred C-ORC layout delivers 6.30 MW with an exergy efficiency of 40.66%, while the selected DEAC configuration achieves a coefficient of performance of 1.40 and an exergy efficiency of 43%. The MSF subsystem attains a gained-output ratio of about 7.5–8 and produces 2.23 × 10⁶ m³·y⁻¹ of freshwater at a specific thermal energy consumption of 83.3 kWh·m⁻³. At system level, the integrated C-ORC–DEAC–MSF arrangement recovers 514.78 GWh·y⁻¹ of waste heat, corresponding to 142.88 GWhₑ·y⁻¹ on an electricity-equivalent basis, increases the overall energy utilization factor to 0.81, and avoids 128.6 × 10³ t CO₂·y⁻¹ under standard grid-displacement assumptions. Beyond these plant-scale metrics, the work provides a transferable thermo-economic and environmental assessment framework for waste-heat-driven trigeneration and illustrates the potential of such integrated schemes to co-produce low-carbon power, cooling, and desalinated water in energy- and water-constrained industrial systems.
{"title":"Thermoeconomic assessment of a cement-plant waste-heat-driven trigeneration system for power, cooling, and desalination","authors":"Heba I. Khafajah , Mostafa M. Abdelsamie , Mohamed I. Hassan Ali","doi":"10.1016/j.nexus.2026.100631","DOIUrl":"10.1016/j.nexus.2026.100631","url":null,"abstract":"<div><div>Cement production is one of the most energy- and carbon-intensive industrial activities, with a large fraction of the fuel input rejected as medium- and low-grade waste heat from cyclone preheaters and clinker coolers. This study proposes and evaluates a waste-heat-driven trigeneration system for a 5,000 t·day⁻¹ dry-process cement plant that simultaneously delivers electricity, process cooling, and desalinated water, thereby addressing coupled energy–water challenges in water-stressed regions. The configuration cascades multi-grade waste heat through three thermally coupled subsystems: (i) a cascade Organic Rankine Cycle (C-ORC) with high- and low-pressure loops matched to the preheater (300–380 °C) and clinker-cooler (250–340 °C) exhausts, (ii) an internally recuperated double-effect LiBr/H₂O absorption chiller (DEAC), and (iii) a 20-stage brine-recirculation multi-stage flash (MSF) desalination unit fed by a closed hot-water loop with a top-brine temperature of 103 °C, below typical CaSO₄/CaCO₃ scaling limits. Aspen Plus V14 simulations show that the preferred C-ORC layout delivers 6.30 MW with an exergy efficiency of 40.66%, while the selected DEAC configuration achieves a coefficient of performance of 1.40 and an exergy efficiency of 43%. The MSF subsystem attains a gained-output ratio of about 7.5–8 and produces 2.23 × 10⁶ m³·y⁻¹ of freshwater at a specific thermal energy consumption of 83.3 kWh·m⁻³. At system level, the integrated C-ORC–DEAC–MSF arrangement recovers 514.78 GWh·y⁻¹ of waste heat, corresponding to 142.88 GWhₑ·y⁻¹ on an electricity-equivalent basis, increases the overall energy utilization factor to 0.81, and avoids 128.6 × 10³ t CO₂·y⁻¹ under standard grid-displacement assumptions. Beyond these plant-scale metrics, the work provides a transferable thermo-economic and environmental assessment framework for waste-heat-driven trigeneration and illustrates the potential of such integrated schemes to co-produce low-carbon power, cooling, and desalinated water in energy- and water-constrained industrial systems.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"21 ","pages":"Article 100631"},"PeriodicalIF":9.5,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-08DOI: 10.1016/j.nexus.2026.100634
Claudinei de Moura Altea, Jurandir Itizo Yanagihara
<div><div>Brazil’s electricity sector is undergoing a profound transformation as the share of intermittent renewables, such as wind and solar, continues to grow. While the country benefits from abundant renewable resources and a historically hydro-dominated grid, this configuration is increasingly challenged by seasonal water variability, rising curtailments, and the need to phase out fossil-based backup generation. Addressing these challenges requires the deployment of long-duration energy storage technologies that can provide reliability, flexibility, and resilience at the system level.</div><div>For the first time in the Brazilian context, this study proposes a long-term optimization framework to assess the role of Pumped Hydro Storage (PHS) and Hydrogen (H₂) in enabling a cost-effective and sustainable expansion of Brazil’s power system. The framework simultaneously co-optimizes PHS siting—based on a geospatial inventory of 337 potential sites—together with modular H₂ deployment, renewable expansion, and hydrogen exports within a unified objective function. The model spans a 25-year planning horizon (2026–2050) with monthly resolution, explicitly integrating hydrological cycles and water-dependent dispatch, which is crucial for a hydro-dominated system like Brazil’s. It captures renewable expansion, storage deployment, hydrogen exports, and fossil imports. Decision variables include renewable capacity additions, the siting and adoption of PHS plants, and modular deployment of H₂ electrolysis and re-electrification units. The formulation incorporates round-trip efficiencies, investment and operating costs, CO₂ emissions with a carbon price, and penalties for curtailment, thereby ensuring an integrated assessment of technical, economic, and environmental trade-offs.</div><div>The results highlight distinct but complementary contributions of PHS and H₂. PHS consistently delivers higher round-trip efficiency and cost-effectiveness, confirming its role as a mature and reliable backbone for renewable integration. Hydrogen, in turn, provides strategic systemic flexibility, particularly under high-renewable penetration, enabling surplus absorption and export opportunities. In the optimal configuration (Scenario 7), the model deploys 101 PHS plants and 75 H₂ modules, and the system transitions from a negative net balance in the baseline to a positive economic outcome. While the baseline operates in a net cost position, the optimized configuration not only fully offsets this deficit but also generates additional revenues equivalent to 28 % of the original system costs, underscoring the economic superiority of the PHS–H₂ hybrid solution. Complementarily, the Fossil-Free scenario, which enforces the complete elimination of fossil-based imports in the final five years of the horizon, demonstrates the system’s ability to sustain a fully renewable and storage-backed operation, while maintaining overall system costs reduction within 4 % of the optimal config
{"title":"Optimizing pumped hydro and hydrogen storage for water-dependent renewable systems","authors":"Claudinei de Moura Altea, Jurandir Itizo Yanagihara","doi":"10.1016/j.nexus.2026.100634","DOIUrl":"10.1016/j.nexus.2026.100634","url":null,"abstract":"<div><div>Brazil’s electricity sector is undergoing a profound transformation as the share of intermittent renewables, such as wind and solar, continues to grow. While the country benefits from abundant renewable resources and a historically hydro-dominated grid, this configuration is increasingly challenged by seasonal water variability, rising curtailments, and the need to phase out fossil-based backup generation. Addressing these challenges requires the deployment of long-duration energy storage technologies that can provide reliability, flexibility, and resilience at the system level.</div><div>For the first time in the Brazilian context, this study proposes a long-term optimization framework to assess the role of Pumped Hydro Storage (PHS) and Hydrogen (H₂) in enabling a cost-effective and sustainable expansion of Brazil’s power system. The framework simultaneously co-optimizes PHS siting—based on a geospatial inventory of 337 potential sites—together with modular H₂ deployment, renewable expansion, and hydrogen exports within a unified objective function. The model spans a 25-year planning horizon (2026–2050) with monthly resolution, explicitly integrating hydrological cycles and water-dependent dispatch, which is crucial for a hydro-dominated system like Brazil’s. It captures renewable expansion, storage deployment, hydrogen exports, and fossil imports. Decision variables include renewable capacity additions, the siting and adoption of PHS plants, and modular deployment of H₂ electrolysis and re-electrification units. The formulation incorporates round-trip efficiencies, investment and operating costs, CO₂ emissions with a carbon price, and penalties for curtailment, thereby ensuring an integrated assessment of technical, economic, and environmental trade-offs.</div><div>The results highlight distinct but complementary contributions of PHS and H₂. PHS consistently delivers higher round-trip efficiency and cost-effectiveness, confirming its role as a mature and reliable backbone for renewable integration. Hydrogen, in turn, provides strategic systemic flexibility, particularly under high-renewable penetration, enabling surplus absorption and export opportunities. In the optimal configuration (Scenario 7), the model deploys 101 PHS plants and 75 H₂ modules, and the system transitions from a negative net balance in the baseline to a positive economic outcome. While the baseline operates in a net cost position, the optimized configuration not only fully offsets this deficit but also generates additional revenues equivalent to 28 % of the original system costs, underscoring the economic superiority of the PHS–H₂ hybrid solution. Complementarily, the Fossil-Free scenario, which enforces the complete elimination of fossil-based imports in the final five years of the horizon, demonstrates the system’s ability to sustain a fully renewable and storage-backed operation, while maintaining overall system costs reduction within 4 % of the optimal config","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"21 ","pages":"Article 100634"},"PeriodicalIF":9.5,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-08DOI: 10.1016/j.nexus.2026.100632
Kabbir Ali , Mohamed I Hassan Ali
This research analyzes the performance and economic viability of a solar-assisted air gap membrane distillation (AGMD) system, comparing a conventional single long-channel module with an optimized multi-short-channel configuration. A computational fluid dynamics (CFD) model, validated against published literature data (<5% error), was developed to evaluate the effects of Reynolds number, solar irradiance, air gap thickness, and concentration ratio (CR) on thermal and mass transfer characteristics. The multi-short-channel design consistently outperformed the single-channel module, achieving up to 26% higher permeate flux and marginally improved thermal efficiency due to reduced temperature polarization, enhanced flow uniformity, and sustained high membrane surface temperatures. Parametric analysis revealed that thinner air gaps and lower flow rates favored higher flux, whereas thicker gaps improved thermal efficiency, indicating a trade-off between productivity and energy utilization. Integration with a concentrator photovoltaic (CPV) solar absorber further elevated feedwater temperatures, with higher CR values significantly boosting system output. Economic analysis demonstrated that the multi-short-channel configuration reduced freshwater production costs by up to ∼25% compared to the single-channel design, reaching as low as (5–18) $/m³ under optimal solar and hydraulic conditions. These findings highlight the potential of advanced channel geometries and solar-thermal integration to deliver cost-effective, energy-efficient desalination solutions, particularly for remote and off-grid regions.
{"title":"Advancing solar-assisted air gap membrane distillation through multi-short-channel module innovation","authors":"Kabbir Ali , Mohamed I Hassan Ali","doi":"10.1016/j.nexus.2026.100632","DOIUrl":"10.1016/j.nexus.2026.100632","url":null,"abstract":"<div><div>This research analyzes the performance and economic viability of a solar-assisted air gap membrane distillation (AGMD) system, comparing a conventional single long-channel module with an optimized multi-short-channel configuration. A computational fluid dynamics (CFD) model, validated against published literature data (<5% error), was developed to evaluate the effects of Reynolds number, solar irradiance, air gap thickness, and concentration ratio (CR) on thermal and mass transfer characteristics. The multi-short-channel design consistently outperformed the single-channel module, achieving up to 26% higher permeate flux and marginally improved thermal efficiency due to reduced temperature polarization, enhanced flow uniformity, and sustained high membrane surface temperatures. Parametric analysis revealed that thinner air gaps and lower flow rates favored higher flux, whereas thicker gaps improved thermal efficiency, indicating a trade-off between productivity and energy utilization. Integration with a concentrator photovoltaic (CPV) solar absorber further elevated feedwater temperatures, with higher CR values significantly boosting system output. Economic analysis demonstrated that the multi-short-channel configuration reduced freshwater production costs by up to ∼25% compared to the single-channel design, reaching as low as (5–18) $/m³ under optimal solar and hydraulic conditions. These findings highlight the potential of advanced channel geometries and solar-thermal integration to deliver cost-effective, energy-efficient desalination solutions, particularly for remote and off-grid regions.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"21 ","pages":"Article 100632"},"PeriodicalIF":9.5,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-11DOI: 10.1016/j.nexus.2025.100619
Opeyemi A. Iresemowo, Vincent O. Nyamori, Olatunde S. Olatunji
The detection of antibiotic residues, particularly tetracyclines (TC), is crucial due to their potential risks to public health and environmental safety. This study reports the development of a selective and sensitive electrochemical sensor based on reduced graphene oxide functionalized with emeraldine salt and palladium nanoparticles (rGO-ES-Pd) for the detection of TC in simulated samples, urine, surface water, and wastewater. The rGO-ES-Pd nanocomposite was synthesised via a wet chemical method and drop-cast onto a glassy carbon electrode (GCE) to fabricate the rGO-ES-Pd/GCE sensor. To evaluate the impact of different polyaniline oxidation states, three additional nanocomposites, rGO-EB-Pd (emeraldine base), rGO-PG-Pd (pernigraniline), and rGO-LE-Pd (leucoemeraldine), were also prepared and tested. Comprehensive characterisation was performed using transmission electron microscopy (TEM), Fourier-transform infrared spectroscopy (FTIR), powder X-ray diffraction (XRD), electrochemical impedance spectroscopy (EIS), and cyclic voltammetry (CV). Among the tested nanocomposites, the rGO-ES-Pd/GCE sensor exhibited the highest electrocatalytic activity for TC detection, with a pH-dependent peak current response in the potential range of 0.1–0.4 V. The sensor demonstrated a wide linear detection range (0.01–5.0 × 10−6 M) and a low detection limit (1.51 × 10−7 M). Selectivity studies in the presence of common interfering substances, ibuprofen, erythromycin, and amoxicillin, revealed minimal interference and a low relative standard deviation (RSD) of 3.29 %, confirming the robustness of the sensor. The developed electrochemical method was successfully applied to detect TC in real environmental (river water, wastewater influent) and biological (urine) samples, showing excellent reproducibility and long-term stability.
{"title":"High-performance electrochemical sensing of tetracycline via functionalised reduced graphene oxide nanocomposites","authors":"Opeyemi A. Iresemowo, Vincent O. Nyamori, Olatunde S. Olatunji","doi":"10.1016/j.nexus.2025.100619","DOIUrl":"10.1016/j.nexus.2025.100619","url":null,"abstract":"<div><div>The detection of antibiotic residues, particularly tetracyclines (TC), is crucial due to their potential risks to public health and environmental safety. This study reports the development of a selective and sensitive electrochemical sensor based on reduced graphene oxide functionalized with emeraldine salt and palladium nanoparticles (rGO-ES-Pd) for the detection of TC in simulated samples, urine, surface water, and wastewater. The rGO-ES-Pd nanocomposite was synthesised via a wet chemical method and drop-cast onto a glassy carbon electrode (GCE) to fabricate the rGO-ES-Pd/GCE sensor. To evaluate the impact of different polyaniline oxidation states, three additional nanocomposites, rGO-EB-Pd (emeraldine base), rGO-PG-Pd (pernigraniline), and rGO-LE-Pd (leucoemeraldine), were also prepared and tested. Comprehensive characterisation was performed using transmission electron microscopy (TEM), Fourier-transform infrared spectroscopy (FTIR), powder X-ray diffraction (XRD), electrochemical impedance spectroscopy (EIS), and cyclic voltammetry (CV). Among the tested nanocomposites, the rGO-ES-Pd/GCE sensor exhibited the highest electrocatalytic activity for TC detection, with a pH-dependent peak current response in the potential range of 0.1–0.4 V. The sensor demonstrated a wide linear detection range (0.01–5.0 × 10<sup>−6</sup> M) and a low detection limit (1.51 × 10<sup>−7</sup> M). Selectivity studies in the presence of common interfering substances, ibuprofen, erythromycin, and amoxicillin, revealed minimal interference and a low relative standard deviation (RSD) of 3.29 %, confirming the robustness of the sensor. The developed electrochemical method was successfully applied to detect TC in real environmental (river water, wastewater influent) and biological (urine) samples, showing excellent reproducibility and long-term stability.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"21 ","pages":"Article 100619"},"PeriodicalIF":9.5,"publicationDate":"2025-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145798689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Recent advances in agrivoltaic systems (AVSs) have revived interest in understanding the effects of not only light intensity but also different light spectra on plants and overall land productivity, with research showing plant carbon assimilation being more efficient under red light, while the more energetic blue light would be more effective for producing solar electricity. AVSs are highly efficient in harvesting solar radiation for the co-generation of food and solar electricity, thus resulting in higher land productivity, compared to single-use alternatives, i.e., agriculture or utility-scale solar. This is particularly advantageous in arid and semi-arid areas with abundant sun and limited land and water. The question becomes: how much light and what particular spectra of light are more efficient for food and for energy conversion, and how can any light treatment impact water, soil, microclimate and plant productivity? This study explores the potentials of spectrally selective PV panels by testing the performance of field grown processing tomato with the focus on red and blue light treatments. The study evaluates crop productivity and water savings by monitoring microclimate, soil, and plant responses under two specific wavelength patterns (red and blue filters) compared to the full unfiltered light spectrum (control). The red and blue treatments, applied on processing tomatoes in Yolo County (California), yielded 67 % and 58 % of the control, respectively. However, changes in the microclimate — particularly the reduction in solar radiation —resulted in a significant decrease in evapotranspiration. Consequently, the potential water use efficiency (WUE) for the blue and red light treatments compared to the control was improved by 10 % and 13 %, respectively. Overall, our study suggests that benefits from renewable energy and reduced water usage could offset yield reductions, making spectrally selective AVSs a potentially viable and sustainable land-use option, especially in water-scarce regions.
{"title":"Effects of red and blue light treatment on water, microclimate, soil and tomato crops in California","authors":"Majdi Abou Najm , Andre Daccache , Matteo Camporese , Mohamed Emami","doi":"10.1016/j.nexus.2025.100609","DOIUrl":"10.1016/j.nexus.2025.100609","url":null,"abstract":"<div><div>Recent advances in agrivoltaic systems (AVSs) have revived interest in understanding the effects of not only light intensity but also different light spectra on plants and overall land productivity, with research showing plant carbon assimilation being more efficient under red light, while the more energetic blue light would be more effective for producing solar electricity. AVSs are highly efficient in harvesting solar radiation for the co-generation of food and solar electricity, thus resulting in higher land productivity, compared to single-use alternatives, i.e., agriculture or utility-scale solar. This is particularly advantageous in arid and semi-arid areas with abundant sun and limited land and water. The question becomes: how much light and what particular spectra of light are more efficient for food and for energy conversion, and how can any light treatment impact water, soil, microclimate and plant productivity? This study explores the potentials of spectrally selective PV panels by testing the performance of field grown processing tomato with the focus on red and blue light treatments. The study evaluates crop productivity and water savings by monitoring microclimate, soil, and plant responses under two specific wavelength patterns (red and blue filters) compared to the full unfiltered light spectrum (control). The red and blue treatments, applied on processing tomatoes in Yolo County (California), yielded 67 % and 58 % of the control, respectively. However, changes in the microclimate — particularly the reduction in solar radiation —resulted in a significant decrease in evapotranspiration. Consequently, the potential water use efficiency (WUE) for the blue and red light treatments compared to the control was improved by 10 % and 13 %, respectively. Overall, our study suggests that benefits from renewable energy and reduced water usage could offset yield reductions, making spectrally selective AVSs a potentially viable and sustainable land-use option, especially in water-scarce regions.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"21 ","pages":"Article 100609"},"PeriodicalIF":9.5,"publicationDate":"2025-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145799045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-09DOI: 10.1016/j.nexus.2025.100626
Giuseppe Mancuso, Dilia Carolina Duran Lugo, Emanuele Spizzirri, Attilio Toscano, Francesca Valenti
As the global demand for sustainable energy solutions grows, Constructed Wetlands (CWs) are gaining recognition not only for their effectiveness in wastewater treatment but also for their untapped potential as bioenergy sources. This study explores the viability of CW-derived plant biomass for biogas production, evaluating how plant species, maturity stages, and storage durations can influence methane yield. Using biomass from a free water surface wetland in Italy, four plant species, e.g., Phragmites australis, Typha latifolia, Carex spp., and Iris pseudacorus, were analyzed through Biomethane Potential (BMP) tests at three storage intervals: i) immediate – t(0), ii) three months after harvesting – t(1), and iii) six months – t(2) after harvesting, respectively. Results indicate that biogas yield peaked at t(1) for all species, with Iris pseudacorus showing consistent performance over time, and low carbon-to-nitrogen (C/N) ratios correlating with higher methane output. While plant maturity and storage significantly affected volatile solids and gas production, not all decreases in solids translated to higher methane yields. These findings indicate that CW biomass holds potential as a renewable feedstock for biogas production, though further optimization and scale-up studies are needed to confirm its practical applicability. By aligning with the Water-Energy-Food Nexus and Nature-based Solutions (NbS), the research promotes integrated approaches to enhance resource recovery, reduce waste, and support climate resilience.
{"title":"Optimizing plant biomass from constructed wetlands for biogas production within the water-energy-food nexus","authors":"Giuseppe Mancuso, Dilia Carolina Duran Lugo, Emanuele Spizzirri, Attilio Toscano, Francesca Valenti","doi":"10.1016/j.nexus.2025.100626","DOIUrl":"10.1016/j.nexus.2025.100626","url":null,"abstract":"<div><div>As the global demand for sustainable energy solutions grows, Constructed Wetlands (CWs) are gaining recognition not only for their effectiveness in wastewater treatment but also for their untapped potential as bioenergy sources. This study explores the viability of CW-derived plant biomass for biogas production, evaluating how plant species, maturity stages, and storage durations can influence methane yield. Using biomass from a free water surface wetland in Italy, four plant species, e.g., <em>Phragmites australis, Typha latifolia, Carex</em> spp., and <em>Iris pseudacorus</em>, were analyzed through Biomethane Potential (BMP) tests at three storage intervals: i) immediate – t(0), ii) three months after harvesting – t(1), and iii) six months – t(2) after harvesting, respectively. Results indicate that biogas yield peaked at t(1) for all species, with <em>Iris pseudacorus</em> showing consistent performance over time, and low carbon-to-nitrogen (C/N) ratios correlating with higher methane output. While plant maturity and storage significantly affected volatile solids and gas production, not all decreases in solids translated to higher methane yields. These findings indicate that CW biomass holds potential as a renewable feedstock for biogas production, though further optimization and scale-up studies are needed to confirm its practical applicability. By aligning with the Water-Energy-Food Nexus and Nature-based Solutions (NbS), the research promotes integrated approaches to enhance resource recovery, reduce waste, and support climate resilience.</div></div>","PeriodicalId":93548,"journal":{"name":"Energy nexus","volume":"21 ","pages":"Article 100626"},"PeriodicalIF":9.5,"publicationDate":"2025-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145747036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}