Solar Energy Advances最新文献

{"title":"Analysis of design parameters of Phase Change Material Boards (PCMBs) for reconstruction of lightweight building exterior wall","authors":"Dan Zhou,&nbsp;Kunli Yang,&nbsp;Yi Zhang,&nbsp;Qinghong Zhang","doi":"10.1016/j.seja.2025.100095","DOIUrl":"10.1016/j.seja.2025.100095","url":null,"abstract":"<div><div>Installing phase change material boards (PCMBs) on existing buildings is regarded as an effective and economical approach to reduce the high energy consumption of buildings. In this paper, the thermal performance of PCMB under summer conditions are numerically studied, and the optimal thickness of PCMB for traditional brick-concrete exterior wall is theoretically analyzed. Unlike the constant room temperature used in other studies, this study employs a small range of sinusoidal fluctuations in room temperature. An improved evaluation parameter, Energy Saving Potential (ESP), derived from the variation of inner surface temperature of the PCMB, is introduced to evaluate the factors affecting its thermal performance. The results indicate that when the phase change temperature falls within the range of indoor air temperature, the narrower the phase change temperature, the higher the ESP. When the phase change range is 3 °C, the ESP value decreases by 3.7 % compared to the single phase transition temperature. In addition, higher latent heat of phase transition and lower thermal conductivity result in higher ESP. For the thermally optimized PCMB, a thickness of 10 mm can effectively maintain indoor thermal comfort and achieve energy saving. The purpose of this study is to optimize the thermophysical properties and thickness of PCMB by combining numerical and theoretical analysis, so as to provide support for the design and manufacture of the PCMBs.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100095"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of dust on the efficiency of various photovoltaic panels: An experimental study","authors":"Tarik Aissi ,&nbsp;Amal Nefraoui ,&nbsp;Khalid Kandoussi ,&nbsp;Rabie Elotmani ,&nbsp;Mohamed Monkade ,&nbsp;Younes Abouelmahjoub","doi":"10.1016/j.seja.2025.100106","DOIUrl":"10.1016/j.seja.2025.100106","url":null,"abstract":"<div><div>Currently, numerous countries are making substantial investments in solar energy to ensure a sustainable fulfillment of their energy requirements. Nevertheless, the effectiveness of photovoltaic (PV) systems is impacted by a variety of factors, including ambient temperature, module age, and dust accumulation. This study advances both theoretical modeling and practical experimentation by analyzing different PV module technologies under varying dust conditions to evaluate their efficiency. The experimental analysis was conducted on solar installations situated on the rooftops of National School Of Applied Sciences (ENSA) (longitude 8.43°W and latitude 33.25°N) and the Faculty of Science (longitude 8.48°W and latitude 33.22°N), in El-Jadida city, Morocco. The results reveal significant efficiency reductions in dusty modules, with losses ranging from 3 % to 14 %. Dust accumulation presents challenges, causing shadow effects and multiple peaks in power-voltage curves, particularly affecting polycrystalline modules. Furthermore, amorphous, polycrystalline, and monocrystalline silicon modules showed high power degradation rates of 2.18 %/year, 2.05 %/year, and 1.70 %/year, respectively, exceeding standard expectations due to environmental factors and lack of maintenance. These findings underscore the necessity of maintenance plans to ensure the long-term efficiency and viability of PV systems, emphasizing the importance of monitoring and cleaning to maximize energy output and reduce maintenance costs.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100106"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143830070","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}

{"title":"Deep learning in defects detection of PV modules: A review","authors":"Katleho Masita ,&nbsp;Ali Hasan ,&nbsp;Thokozani Shongwe ,&nbsp;Hasan Abu Hilal","doi":"10.1016/j.seja.2025.100090","DOIUrl":"10.1016/j.seja.2025.100090","url":null,"abstract":"<div><div>Identifying defects in photovoltaic (PV) modules is essential for ensuring optimal performance and prolonging their operational lifespan. Traditional manual inspection methods are time-consuming, labor-intensive, and subject to human error, necessitating the development of automated, efficient detection techniques. With the increasing scale of PV power plants, there is a pressing need for automated, accurate, and efficient defect detection methods. This review explores the application of deep learning (DL) methods, particularly convolutional neural networks (CNNs), in the identification and classification of PV module defects. Var- ious imaging techniques, including electroluminescence (EL), thermal, and visible spectrum imaging, are discussed for their roles in data acquisition. The importance of preprocessing steps such as image normalization, registration, and segmentation is emphasized to enhance detection accuracy. The review highlights the effectiveness of DL models like MobileNet, VGG-16, and YOLO, and techniques such as transfer learning and data augmentation in improving model performance. Despite achieving high accuracy, challenges such as the need for large datasets and model generalization across different PV modules and environmental conditions remain. The integration of DL with aerial inspection technologies and advance- ments in image processing holds promise for further enhancing the reliability and efficiency of solar energy systems.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100090"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143273141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Examining the expected benefits of small-scale NbS implementation in Chania city center","authors":"Thodoros Glytsos ,&nbsp;Angeliki Mavrigiannaki ,&nbsp;Eleftheria Kalogirou ,&nbsp;Charalampos Litos ,&nbsp;Dionysia Kolokotsa","doi":"10.1016/j.seja.2025.100094","DOIUrl":"10.1016/j.seja.2025.100094","url":null,"abstract":"<div><div>The potential of Nature-based solutions to address multiple urban challenges and support urban resilience is widely recognised and documented. Towards enhancing the effects of existing urban green, and harnesing the most of the NbS services, it is necessary to identify all available urban spaces that can accommodate small-scale NbS implementations. In this study, a green wall and a green roof are planned for installation in a concrete-dominated area at the city centre of a small Mediterranean city (Chania, Greece). The potential benefits of the interventions on urban microclimate regulation, carbon sequestration, air pollution mitigation and aesthetic value of the area are investigated combining simulations and literature data. We discuss the synergistic effects of the obtained results and highlight that many microinterventions are needed to harness their cumulative effect on city scale.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100094"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Property development in n-alkane and n-alkane eutectic phase change materials for thermal energy storage applications","authors":"Cemil Alkan ,&nbsp;Erdinç Halis Alakara","doi":"10.1016/j.seja.2025.100089","DOIUrl":"10.1016/j.seja.2025.100089","url":null,"abstract":"<div><div>In this study, some n-alkanes (n-heptadecane: C17, n-octadecane: C18, n-nonadecane: C19, n-eicosane: C20, and n-tetracosane: C24) were used to determine their physicochemical properties to reveal the relationships between the molecular structure and properties. The materials studied were having working temperatures from 21.4 to 46.5 °C and enthalpy storage capacity from 216.2 to 268.9 J/g. Other thermophysical properties relevant to thermal energy storage, like specific heat capacity, thermal conductivity, density, and refractive index, are also investigated and formulated as properties changing with respect to molar mass and carbon number. In addition, some eutectic mixtures of the n-alkane compounds used were prepared, and the thermal energy storage properties, especially phase change temperature and enthalpy, were examined. Binary eutectic mixtures of C17-C18, C20-C17, C20-C19, and C20-C24were having phase change temperatures from 20.6 to 35.8 °C and enthalpy storage capacity from 215.1 to 265.6 °C. While preparing eutectic mixtures, the Schrader equation was used to estimate the eutectic composition points, and then the accuracy of the equation was examined. The studies were conducted based on Differential Scanning Calorimetry (DSC), which has extremely high accuracy. The ranges and dynamics of the analysis methods were chosen according to the needs of potential applications. Besides, varios compositions were investigated to determine the eutectic point experimentally. Mixing was found having a negative effect on the phase change enthalpy. This study, therefore, revealed whether eutectic mixtures have suitable enthalpy as well as phase transition temperature for the desired application area.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100089"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A theoretical exploration of quantum dots and nanowires as next-generation photovoltaics","authors":"Sumit Kumar Maitra ,&nbsp;Konda Raju ,&nbsp;GV Swathi ,&nbsp;BV Sai Thrinath ,&nbsp;Umakanta Choudhury ,&nbsp;Nagaraju Budidha ,&nbsp;Dessalegn Bitew Aegeegn","doi":"10.1016/j.seja.2024.100085","DOIUrl":"10.1016/j.seja.2024.100085","url":null,"abstract":"<div><div>The demand for sustainable energy continues to grow due to the depletion of traditional energy sources. Photovoltaics (PVs) are among the most effective energy harvesting technologies that support sustainable energy production. However, conventional PV cells face certain limitations. Quantum dots (QDs) and nanowires (NWs) are promising materials poised to advance next-generation PV technologies. QDs possess size-tunable electronic properties and high absorption coefficients, potentially increasing the spectral range of sunlight harnessed, leading to higher energy conversion efficiencies. NWs, on other hand have high aspect ratios and efficient charge transport capabilities, that offer significant improvements in light absorption and carrier collection. By integrating QDs and NWs into PV structures, it is possible to overcome the limitations of conventional silicon-based PV cells. This current narrative review explores the theoretical basis of the emergence of QDs and NWs as next-generation PVs. It discusses the fundamental principles of QDs and NWs in PV applications, exploring their synthesis, properties, and integration into solar cell devices. Furthermore, the review highlights recent advancements, challenges, and potential future directions in the sustainable electric energy arena.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100085"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"RES curtailments in Cyprus: A review of technical constraints and solutions","authors":"P. Therapontos ,&nbsp;R. Tapakis ,&nbsp;P. Aristidou ,&nbsp;A.G. Charalambides","doi":"10.1016/j.seja.2025.100097","DOIUrl":"10.1016/j.seja.2025.100097","url":null,"abstract":"<div><div>The increasing penetration of renewable energy sources (RES) in small, isolated power systems such as Cyprus has led to significant curtailments due to technical constraints, resulting in substantial energy losses and economic impacts. This study analyzes the drivers, trends, and mitigation strategies for RES curtailments in Cyprus, where annual curtailment rates surged from 2 % (2022) to 13 % (2024), with monthly photovoltaic (PV) curtailment exceeding 28 % during low-demand periods. System-wide constraints, particularly minimum inertia requirements and ramp rate limitations of conventional generators, dominate curtailment causes, exacerbated by Cyprus's seasonal demand variability and a 780 MW PV installed capacity. Historical data reveal a 500 % increase in high-curtailment days (≥200 MWh) from 2022 to 2024, with simulations forecasting further escalation as PV capacity approaches 1 GW by 2027. Operational procedures prioritize curtailing large-scale RES installations first, thus raising equity concerns for disproportionately affected stakeholders. Mitigation strategies evaluated include infrastructure enhancements like the 1 GW HVDC Great Sea Interconnector and retrofitting aging plants as synchronous condensers to bolster inertia, alongside operational measures such as energy storage systems (ESS)—deploying 80 MW/240 MWh batteries could reduce curtailments to 10 % by 2025. Demand-side flexibility, particularly elastic electric vehicle charging, and AI-enhanced forecasting are identified as cost-effective supplements. However, reducing the minimum stable generation level (MSGL) to accommodate higher RES penetration risks frequency instability, as demonstrated by transient simulations showing critical rate of change of frequency (RoCoF) thresholds exceeding 1 Hz/s during generator outages. The study concludes that a hybrid approach combining grid reinforcement, ESS deployment, and market-driven demand response is essential to align Cyprus's RES growth with EU decarbonization targets while ensuring grid reliability.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100097"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143576888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"1,12-dodecanediol among similar fatty alcohols as a phase change material for thermal energy storage","authors":"Ömer Faruk Ensari ,&nbsp;Cemil Alkan","doi":"10.1016/j.seja.2024.100079","DOIUrl":"10.1016/j.seja.2024.100079","url":null,"abstract":"<div><div>The majority of research conducted on phase change materials (PCMs) is focused on applicable temperature-based materials. In general, the market offers a limited range of viable alternatives for a number of specific applications. In this study, the 1,12-dodecanediol compound was evaluated as a PCM in its original ambient storage atmosphere. The physicochemical properties of a PCM ultimately determine the conditions under which it can be employed in a given application. Many of these properties, including phase change temperatures, enthalpies, specific heat, and temperature-time relationships, are determined using differential scanning calorimetry (DSC) instruments. In summary, the phase change temperature and enthalpies of 1,12-dodecanediol were found to be 80–76 °C and 238–237 J g⁻¹, respectively, for heating/cooling. Moreover, TGA is used to ascertain the maximum temperature that a common PCM is capable of withstanding. The first degradation temperature of 1,12-dodecanediol (220 °C) was considerable as compared to other organic PCMs. Further thermal analysis of a new PCM may involve thermal conductivity and its potential to increase using conventional additives. The investigation was conducted on 1,12-dodecanediol across the aforementioned aspects. The surface morphology of both the 1,12-dodecanediol and 1,12-dodecanediol/expanded graphite (EG) composites was examined below the phase change temperature using a polarized optical microscope (POM) to reveal surface morphology of 1,12-dodecanediol as the crystalline organic material.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100079"},"PeriodicalIF":0.0,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An overview of solar cell simulation tools","authors":"Abu Kowsar ,&nbsp;Sumon Chandra Debnath ,&nbsp;Md. Shafayet-Ul-Islam ,&nbsp;Mohammad Jobayer Hossain ,&nbsp;Mainul Hossain ,&nbsp;AFM Kamal Chowdhury ,&nbsp;Galib Hashmi ,&nbsp;Syed Farid Uddin Farhad","doi":"10.1016/j.seja.2024.100077","DOIUrl":"10.1016/j.seja.2024.100077","url":null,"abstract":"<div><div>Solar cell simulation software offers an intuitive platform enabling researchers to efficiently model, simulate, analyze, and optimize photovoltaic devices and accelerate desired innovations in solar cell technologies. This paper systematically reviews the numerical techniques and algorithms behind major solar cell simulators reported in the literature. The status, scopes, and limitations of these simulators have been critically evaluated after recording their use in nearly two hundred published articles. For the first time, we present a comparative study of the simulators in terms of their availability, applications, and system requirements. We anticipate that this review will aid in selecting the most appropriate solar cell simulator for the numerical study of preferred type of solar cells.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100077"},"PeriodicalIF":0.0,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A minute-resolution downscaling algorithm for high-resolution global irradiance time series","authors":"Diamantis Almpantis ,&nbsp;Henrik Davidsson ,&nbsp;Martin Andersson","doi":"10.1016/j.seja.2024.100076","DOIUrl":"10.1016/j.seja.2024.100076","url":null,"abstract":"<div><div>Numerous studies have demonstrated the significant impact of the resolution of solar irradiation data on the outcomes of hourly production models. Accurate integration of photovoltaic (PV) systems sometimes demands a high-resolution global horizontal irradiance (GHI) time series to capture the rapid fluctuations in PV power output induced by swift irradiance changes. Most of the available databases provide data at hourly resolution, leading to a lack of accuracy in PV simulations. Those existing hourly averages of global horizontal irradiance in open sources fail to represent this volatility adequately, especially when PV systems are coupled with fast ramp rate technologies. In the present work, an easy-to-use algorithm is implemented to synthesize high-resolution GHI time series from hourly averaged and clear sky irradiance datasets. By employing Linear interpolation, a technique that helps to achieve the desired time resolution and afterward computing critical factors, the algorithm identifies periods characterized by short-term weather phenomena, thus creating a high-resolution time series that accurately represents these dynamics. Avoiding the probabilistic components and machine learning techniques conserves computational power and reduces calculation time, but this comes at the cost of reduced fidelity in reproducing the results. Improving accuracy in PV simulations is not always directly related to reproducing real phenomena, but enhancing the amount of information contained in the data is sufficient. This study’s approach enhances user-friendliness and facilitates seamless integration into existing energy modeling frameworks, aiming for representation with sub-hourly time steps. The algorithm’s effectiveness is demonstrated by applying the model to hourly averaged data to revert them to a one-minute time step, and finally comparing the synthetically produced one-minute GHI data to the original measured data. The comparative analysis between synthesized and measured data demonstrated a strong agreement, with normalized mean bias error (MBE) values ranging between 1.8% and 9.6% and normalized root mean square error (NRMSE) values between 2.7% and 16.1%, depending on weather conditions. Additionally, the coefficient of determination (R<span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span>) consistently remained above 0.64. Successful algorithm validation makes our algorithm suitable for use in meteorological datasets and locations, with similar climatic characteristics.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"4 ","pages":"Article 100076"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656369","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}