Renewable EnergyPub Date : 2025-05-03DOI: 10.1016/j.renene.2025.123260
Aira H. Aspiras , Sadiq J. Zarrouk , Ralph Winmill , Andreas W. Kempa-Liehr
{"title":"Real-time incident detection in geothermal drilling through machine learning","authors":"Aira H. Aspiras , Sadiq J. Zarrouk , Ralph Winmill , Andreas W. Kempa-Liehr","doi":"10.1016/j.renene.2025.123260","DOIUrl":"10.1016/j.renene.2025.123260","url":null,"abstract":"<div><div>Geothermal energy, while a reliable baseload low-carbon resource, only comprise a small fraction of global renewable capacity due to high upfront costs and resource risks. Drilling wells accounts for ∼60 % of capital investment costs, thus finishing wells on-time and within budget has always been a crucial challenge for operators and challenges like fault structures, severe lost circulation, and high temperatures inherent to geothermal systems make this difficult. Early detection is crucial in taking corrective actions before problems escalate and leveraging machine learning (ML) technologies offers the potential to identify patterns that precede hole-related non-productive time incidents, such as stuckpipes or borehole instability.</div><div>This research investigates the capability of ML to predict drilling incidents in geothermal wells in New Zealand, even when drilling on total losses. The models were performed on 2-h windows rolling every hour to demonstrate forward prediction. It also demonstrates how systematic and automated feature engineering outperforms naïve and manual feature engineering on incident prediction on several machine learning algorithms.</div><div>The study proves that there is a huge potential for utilising ML to create real-time incident detection systems to assist drilling personnel in making decisions during drilling, thereby reducing operational risks and enhancing overall drilling and cost performance.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"250 ","pages":"Article 123260"},"PeriodicalIF":9.0,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143905976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Renewable EnergyPub Date : 2025-05-03DOI: 10.1016/j.renene.2025.123286
Rafael Martinez-Gordon , Laura Florentina Gusatu , Srinivasan Santhakumar , Jos Sijm , André Faaij
{"title":"Decarbonisation pathways towards a net-zero North Sea energy system by 2050","authors":"Rafael Martinez-Gordon , Laura Florentina Gusatu , Srinivasan Santhakumar , Jos Sijm , André Faaij","doi":"10.1016/j.renene.2025.123286","DOIUrl":"10.1016/j.renene.2025.123286","url":null,"abstract":"<div><div>The North Sea region, located in North-western Europe, is on the way to transform its energy system in the coming decades, with most of its surrounding countries having net-zero pledges in place. In this paper we evaluate different decarbonisation pathways towards a net-zero future by 2050 in the North Sea region, with a specific focus on the development of the offshore energy system. The proposed scenarios compare different mitigation strategies (i.e., intermediate targets versus a carbon budget), different marine spatial planning (i.e., development of multi-use of space areas in the North Sea versus single-use use of space) and different learning evolution of offshore technologies (i.e., quick reduction of offshore wind costs versus delayed reduction of offshore wind costs). Results show that distributing the carbon budget over the transition period is cost-optimal compared to defining decadal mitigation targets, providing 200 bn€ (3 %) lower system costs. Regarding the use of space, results show that a multi-use strategy provides savings of up to 100 bn€ (1.5 %), allowing the integration of over 350 GW of offshore wind and 1200 PJ of offshore hydrogen production per year. In terms of the learning rates of offshore technologies, the quick learning scenario, where fixed bottom offshore wind reaches a CAPEX of 1500 €/kW by 2050, entails 250 bn€ (3.75 %) less cumulative system costs than the baseline scenario, where the CAPEX of fixed bottom offshore wind reaches 2100 €/kW by 2050. In terms of use of space, the offshore wind deployment levels analysed in the modelled scenarios cover 5–8 % of all North Sea space, and 13–22 % of all the North Sea space not claimed by other activities.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"250 ","pages":"Article 123286"},"PeriodicalIF":9.0,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143905974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Renewable EnergyPub Date : 2025-05-03DOI: 10.1016/j.renene.2025.123231
J.A. Moctezuma-Hernandez, R.P. Merchán, J.M.M. Roco
{"title":"Supercritical CO2 hybrid Brayton–Organic Rankine Cycle integrated with a solar central tower particle receiver: Performance, exergy analysis, and choice of the organic refrigerant","authors":"J.A. Moctezuma-Hernandez, R.P. Merchán, J.M.M. Roco","doi":"10.1016/j.renene.2025.123231","DOIUrl":"10.1016/j.renene.2025.123231","url":null,"abstract":"<div><div>A study of the integration of a supercritical CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> hybrid Brayton–Organic Rankine Cycle (ORC) with a Concentrated Solar Power (CSP) system using a particle receiver is presented. It focuses on evaluating the energy and exergy performance of the system to improve its efficiency and reduce fuel consumption. The particle receiver uses a mixture of silicon carbide and air as the working fluid, allowing operation at higher temperatures suitable for coupling with the supercritical CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> Brayton cycle. Detailed thermodynamic models were developed using Mathematica and Engineering Equation Solver (EES) to simulate the behavior of the system under various conditions. The results show that coupling the particle receiver with the hybrid Brayton cycle significantly reduces fuel consumption by 63.2%. The exergy analysis shows that the highest exergy destruction occurs in the heat exchangers of the entire system, indicating potential areas for further efficiency improvements. The study also highlights the critical role in system performance of the ORC working fluid used in the bottoming cycle. Among the fluids tested, R600a was found to be the most effective, providing the highest efficiency under the considered conditions. The results highlight the potential of integrating particle receivers into CSP systems to improve both the energy efficiency and sustainability of power generation, and thus, it represents a promising approach for achieving more effective and sustainable power generation.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"250 ","pages":"Article 123231"},"PeriodicalIF":9.0,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Renewable EnergyPub Date : 2025-05-03DOI: 10.1016/j.renene.2025.123361
Shobhit K. Patel , Bo Bo Han , Om Prakash Kumar , Fahad Ahmed Al-Zahrani
{"title":"Design and optimization of graphene-based two-diamond-shaped solar absorber using Zr-GaSb-Fe3O4 materials for industrial heating renewable energy system with machine learning","authors":"Shobhit K. Patel , Bo Bo Han , Om Prakash Kumar , Fahad Ahmed Al-Zahrani","doi":"10.1016/j.renene.2025.123361","DOIUrl":"10.1016/j.renene.2025.123361","url":null,"abstract":"<div><div>Given the importance of addressing air pollution, research into photonic devices has been developed as an alternative to fossil fuels. Solar absorbers, a key component in the field of photonics, have been highlighted in recent studies as a means to enhance solar energy production. These absorbers can be applied in various solar thermal systems, such as water heating processes. The design of the solar absorber, including resonance layers in different shapes and multi-layer configurations, alongside the use of graphene, has led to the development of a broadband absorber with excellent efficiency. In the latest structure, the overlapping diamond resonator shape, made from materials such as Zr-GaSb-Fe3O4, demonstrated a high absorption rate of 90.83 % over a wide 2700 nm bandwidth and machine learning also applied on the results. The newly developed solar absorbers can be used in a variety of household applications, including water heaters, home heating, cooking, charging, and swimming pools. In addition to their use in homes, these absorbers are also applicable in solar architecture, artificial photosynthesis, drying processes, and distillation systems.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"251 ","pages":"Article 123361"},"PeriodicalIF":9.0,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hybrid CNN-EML model for fault diagnosis in Electroluminescence images of photovoltaic cells","authors":"Nadia Drir , Fathia Chekired , Adel Mellit , Nicola Blasuttigh","doi":"10.1016/j.renene.2025.123343","DOIUrl":"10.1016/j.renene.2025.123343","url":null,"abstract":"<div><div>The quality inspection of solar module manufacturing is essential to guarantee photovoltaic (PV) power plants' steady. This paper presents the development of an innovative hybrid model that combines convolutional neural networks (CNN) with ensemble machine learning (EML) algorithms. The integration of these approaches was employed in order to develop a ranking weight voting system to the features extracted by the CNN model, by combining three fundamental algorithms: Support Vector Machines (SVM), K-Nearest Neighbors (KNN), and Random Forest (RF). The advanced CNN-Ensemble Machine Learning (CNN-EML) technique is applied to a dataset of electroluminescence (EL) images featuring the nine most important and frequent defects. The results demonstrated that techniques based on the CNN-EML provide superior classification accuracy, effectively addressing the challenge of diagnosing faults in PV module manufacturing. The CNN-EML model achieved a significant accuracy of 94% in classification of different defects, outperforming CNN algorithm-based methods in the proposed comparative analysis.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"250 ","pages":"Article 123343"},"PeriodicalIF":9.0,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143906060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Wave power extraction from a U-shaped oscillating water column consisting of a flexible bottom-standing front wall","authors":"Siming Zheng , Haojie Zheng , Simone Michele , Guixun Zhu , Yeaw Chu Lee , Deborah Greaves","doi":"10.1016/j.renene.2025.123173","DOIUrl":"10.1016/j.renene.2025.123173","url":null,"abstract":"<div><div>In this paper, the concept of a U-shaped oscillating water column (UOWC) device consisting of a flexible bottom-standing front wall is proposed. The deflection of the flexible wall could bring benefits for wave power absorption. To evaluate the hydrodynamic performance and predict the wave power absorption of the flexible UOWC, a theoretical model based on the linear potential flow theory and the Galerkin approximation method is developed. For some examined flexible UOWCs, three peaks of the frequency response of the maximum wave power capture efficiency are observed, in which two are related to the resonant frequencies of the oscillating water column and the 1st natural mode of the flexible wall, respectively, and one could be related to wave near-trapping. The flexural rigidity of the flexible bottom-standing front wall is found to be a key factor affecting the performance of the device. As the dimensionless flexural rigidity increases, the three peaks of the efficiency-wave frequency curve move toward large frequencies and a large bandwidth of high efficiency is achieved.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"250 ","pages":"Article 123173"},"PeriodicalIF":9.0,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143942802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mesoporous aluminosilicate from nanocellulose template: effect of porosity, morphology and catalytic activity for biofuel production","authors":"Stella Jovita , Alvina Tata Melenia , Eko Santoso , Riki Subagyo , Rustam Tamim , Nurul Asikin-Mijan , Holilah Holilah , Hasliza Bahruji , Reva Edra Nugraha , Aishah Abdul Jalil , Hellna Tehubijuluw , Maria Ulfa , Didik Prasetyoko","doi":"10.1016/j.renene.2025.123293","DOIUrl":"10.1016/j.renene.2025.123293","url":null,"abstract":"<div><div>Mesoporous aluminosilicate (Al-MS) with different morphology and porosity is synthesized using a combination of sol-gel and hydrothermal methods by controlling the ratio between P123 and nanocellulose (NCC). The role of NCC as templates is elucidated based on the transformation of Al-MS from rod-like morphology with hexagonal pores to uniform nanoparticles with intraparticle mesostructure at increasing NCC ratios. Increasing NCC concentration reduced the regularity of the mesopores. TEM analysis revealed a hexagonal pore arrangement for Al-MS and Al-MS (0.25). In contrast, Al-MS (1) with only NCC shows disordered mesostructure. Optimization of P123:NCC ratio enhances the V<sub>meso</sub>/V<sub>micro</sub> to reach the optimum value of ∼18.65, which is essential to enhance hydrocarbon yield. Al-MS (0.25) is the most active catalyst for deoxygenation (DO) of <em>Calophyllum inophyllum</em> oil, reaching 95.98 % conversion, 50.77 % liquid yield and 60.27 % selectivity towards n-(C<sub>15+17</sub>) hydrocarbon. In general, Al-MS (0.25) demonstrates outstanding performance owing to its good physicochemical characteristics and acidity.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"250 ","pages":"Article 123293"},"PeriodicalIF":9.0,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Renewable EnergyPub Date : 2025-05-03DOI: 10.1016/j.renene.2025.123363
Gökay Bayrak , Kıvanç Başaran , Alexandra Catalina Lazaroiu
{"title":"Integrating hydrogen-powered fuel cell electric buses into grid-forming microgrids: A solution for emergency energy needs","authors":"Gökay Bayrak , Kıvanç Başaran , Alexandra Catalina Lazaroiu","doi":"10.1016/j.renene.2025.123363","DOIUrl":"10.1016/j.renene.2025.123363","url":null,"abstract":"<div><div>Fuel cell electric (FCE) buses have high-capacity batteries reaching up to 250–300 kW and high energy densities with hydrogen, so they can be used as a Mobile Microgrid (MoMG) by being supported by renewables. In this study, an FCE bus comprising a SOFC fuel cell stack and a battery is modeled as a Mobile Microgrid (MoMG) using MATLAB/Simulink to deliver mobile electrical energy support to regions inaccessible during disaster situations. To develop the V2L, V2V, and V2G functions of the MoMG, an Enhanced Grid Forming Control (EGFC) method is proposed, considering the IEEE 2800-2022 standards to ensure inverter-grid synchronization. In the proposed model, sudden changes in hydrogen power, evaluation of battery energy storage system (BESS) response during sudden load change, islanding conditions, and temporary and permanent faults are investigated. EGFC enables the FCE bus to maintain operation under both steady-state and transient conditions, achieving ±1.5 % in grid voltage and current, ±3 % grid active power and reactive power, and ±0.01 Hz in frequency. The obtained results show that the proposed EGFC provides a reliable and stable grid integration of an FCE bus, providing the MoMG with low-voltage ride-through (LVRT) and fault ride-through (FRT) capabilities.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"250 ","pages":"Article 123363"},"PeriodicalIF":9.0,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Renewable EnergyPub Date : 2025-05-03DOI: 10.1016/j.renene.2025.123357
Chatura Dodangoda , A. Haque , Lingping Zeng , S.Q. Yang , P.G. Ranjith
{"title":"Underground Hydrogen Storage: Insights into hydrogen reactivity and porosity dynamics for optimizing clean energy storage in depleted reservoirs","authors":"Chatura Dodangoda , A. Haque , Lingping Zeng , S.Q. Yang , P.G. Ranjith","doi":"10.1016/j.renene.2025.123357","DOIUrl":"10.1016/j.renene.2025.123357","url":null,"abstract":"<div><div>Underground Hydrogen Storage (UHS) is an emerging clean energy solution, particularly in depleted oil and gas reservoirs. These formations often contain varying amounts of carbonates, yet existing studies report contradictory findings on their reactivity with hydrogen. This study addresses these inconsistencies through long-term experimental investigations of hydrogen–rock interactions under both low (2.8 MPa, 28 °C) and high (12 MPa, 70 °C) pressure-temperature conditions, across varying water saturation levels, for up to 180 days. Using XRD, ICP-OES, SEM, and CT imaging, we observed limited mineral reactivity in carbonate-rich samples, with a maximum of ∼1 % calcite dissolution and ∼1 % gupeiite precipitation. Despite minimal elemental variation, up to 25 % hydrogen loss occurred within 10 days, suggesting physical and chemical interactions at play. Notably, CT scans revealed up to 63 % porosity increase, with SEM confirming significant pore alteration. Comparative N<sub>2</sub> control experiments confirmed that hydrogen-specific reactivity, especially under higher water-to-rock ratios, plays a dominant role in mineral alteration and gas loss. These findings provide new evidence that, while carbonate minerals are largely inert to hydrogen under standard conditions, high W/R environments can significantly influence hydrogen loss and storage performance. This work delivers novel insights into long-term hydrogen retention mechanisms in carbonate-containing formations, helping inform the design of safer and more efficient UHS systems.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"251 ","pages":"Article 123357"},"PeriodicalIF":9.0,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Renewable EnergyPub Date : 2025-05-02DOI: 10.1016/j.renene.2025.123179
Zengqiang Liu , Yuhong Zhao , Jieqing Feng
{"title":"Heliostat surface deformation and encoding under gravity and wind loads for optical performance analysis","authors":"Zengqiang Liu , Yuhong Zhao , Jieqing Feng","doi":"10.1016/j.renene.2025.123179","DOIUrl":"10.1016/j.renene.2025.123179","url":null,"abstract":"<div><div>In solar power tower systems (SPT), the heliostats will be deformed by external loads such as gravity and wind, significantly influencing the radiative flux density distribution (RFDD) on the receiver. In this paper, an optical performance of deformed heliostat caused by these external loads is analyzed comprehensively and in detail. First, finite element analysis is performed to compute heliostat deformation under external loads. Then the deformed heliostat surface is compactly represented using surface encoding method. Finally, the compact representation of deformed heliostat surface is adopted as input for Monte Carlo ray tracing simulation to obtain the high-fidelity RFDD. The detailed simulations, validation and, analysis show that under wind conditions of 20<!--> <!-->m/s, the slope error of heliostat can reach up to 2.97 mrad, leading to a 310.7% increase in the flux spot size compared to gravity-only conditions. Furthermore, the results reveal that among various surface encoding methods, the Gaussian mixture model is the most feasible surface encoding method for RFDD simulations of both single heliostat and heliostat fields. The proposed work provided a comprehensive approach for analyzing the effects of gravity and wind on heliostat surface deformation and RFDD, offering potentials for optimizing heliostat design and enhancing SPT performance.</div></div>","PeriodicalId":419,"journal":{"name":"Renewable Energy","volume":"250 ","pages":"Article 123179"},"PeriodicalIF":9.0,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}