Energy Reports最新文献

{"title":"Methods for online identification of photovoltaic module ageing by series resistance from measured current–voltage curves","authors":"Heidi Kalliojärvi,&nbsp;Kari Lappalainen","doi":"10.1016/j.egyr.2025.01.027","DOIUrl":"10.1016/j.egyr.2025.01.027","url":null,"abstract":"<div><div>Photovoltaic (PV) modules are prone to ageing and degradation during their lifespan. Ageing of PV cells damages them permanently, thus impairing their electrical performance and causing significant economic losses. Thus, ageing must be detected in time. Condition of the PV modules can be monitored by analyzing current–voltage curves measured from the PV modules by fitting a mathematical model, such as the widely-used single-diode model, to the curves. The magnitude and drift of the model parameters provide information of the condition of the modules. Specifically, increments in the series resistance parameter values indicate ageing-like degradation that hinders the optimal utilization of the power system. Only few single-diode model parameter identification methods presented in literature are applicable in practical PV sites. However, it is unclear which of these methods performs best in PV cell ageing detection and quantification. This article addresses this issue by comparing the ageing detection capabilities of these methods. In this spirit, a novel single-diode model parameter identification method is developed that suits even better for real-case PV systems. It is shown that the accuracy of ageing detection depends on the selected parameter identification method as well as on the ageing level of the PV modules.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1558-1570"},"PeriodicalIF":4.7,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Energy efficiency and thermal comfort evaluation of rooms built using different insulating materials","authors":"Husain Kanchwala","doi":"10.1016/j.egyr.2024.12.055","DOIUrl":"10.1016/j.egyr.2024.12.055","url":null,"abstract":"<div><div>The aim of this study is to compare and evaluate the thermal performance of polyurethane foam insulation boards against other conventional roof insulation solutions. The site chosen for this study is located in New Delhi, India. Six typical office-sized rooms were constructed: <em>four</em> naturally ventilated and <em>two</em> equipped with air conditioning systems. Thermal comfort and energy efficiency of these rooms were assessed by an experimental study in accordance with ANSI/ASHRAE Standard 55-2017 and GRIHA standard. Room air temperature, humidity, wall and ceiling temperatures, air velocity, thermal flux, light intensity, and energy consumption of the air conditioning system was measured for an entire calendar year (February 2023 to January 2024). Using these measurements, thermal comfort and energy measurement indices, namely, the predicted mean vote and percentage of people dissatisfied and energy performance index were calculated. The performance of different insulation materials was compared and the foam insulation was found to be the most effective. It enhances thermal comfort by reducing peak temperatures; maintains stable indoor conditions and significantly reduce the energy consumption of to maintain thermal comfort. A 50 mm foam insulation in the roof achieves an average annual electrical energy savings of 63.6% as compared to the non-insulated room.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1571-1589"},"PeriodicalIF":4.7,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IDD-YOLOv7: A lightweight and efficient feature extraction method for insulator defect detection","authors":"Yongxiang Zhao ,&nbsp;Guoqing Zhang ,&nbsp;Wei Luo ,&nbsp;Ruiyin Tang ,&nbsp;Ying Sun ,&nbsp;Penggang Wang ,&nbsp;Jiandong Liu ,&nbsp;Keyu Mei","doi":"10.1016/j.egyr.2024.12.076","DOIUrl":"10.1016/j.egyr.2024.12.076","url":null,"abstract":"<div><div>Aiming at the challenges of diversity, large scale variation and complex background in insulator defect images captured by UAVs, as well as the insufficient ability of existing detection algorithms in terms of leakage and false detection of small-size defects and adaptation to complex backgrounds, this study proposes a lightweight and efficient feature extraction method for insulator defects detection based on YOLOv7, named IDD-YOLOv7. First, we propose a Multi-Scale Channel Information Extraction Module (MCIE), enabling the model to effectively learn and utilize feature map information at different scales to address the challenge of significant scale variations in defect areas. Second, we propose a Contextual Global-Local Attention Module (CG-LA), allowing the model to consider both global context information and local details to tackle background interference issues. Additionally, we design a Focused Pure Convolution Feature Extraction Module (FPCFE) to enhance the model's focus on tiny insulator defects, effectively addressing the issues of missed detections and false positives in existing algorithms for small-sized defects. To improve the model's robustness and generalization ability, we apply data augmentation to the defect dataset. Finally, we utilize channel pruning and knowledge distillation strategies to compress the improved model, making it lightweight enough for deployment on UAV platforms with limited computational resources. The experimental results show that compared with the baseline model, IDD-YOLOv7 improves the AP50 in breakage-defect, drop-defect and flashover-defect by 10.3 %, 8.8 % and 10.8 %, respectively, and the mAP improves by 8.9 %, and the physical storage space occupies only 5.6MB, which is compared to YOLOv7 reduced by 69 %. Compared with the existing detection algorithms, IDD-YOLOv7 is not only able to detect various insulator defects quickly and accurately, but also has low leakage and false detection rates. Taken together, the proposed algorithm has significant robustness in insulator defect detection.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1467-1487"},"PeriodicalIF":4.7,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization of solar thermoelectric systems operating under non-uniform irradiation","authors":"Kanning Wang ,&nbsp;Ershuai Yin ,&nbsp;Yingping Long,&nbsp;Qiang Li","doi":"10.1016/j.egyr.2025.01.044","DOIUrl":"10.1016/j.egyr.2025.01.044","url":null,"abstract":"<div><div>The concentrated solar thermoelectric generator (STEG) system is among the most promising technologies for converting solar energy into electricity. High-concentration focusing significantly enhances STEG system efficiency but also introduces challenges related to non-uniform solar irradiation, such as uneven temperature distribution and reduced performance. In this study, a theoretical model of the STEG system is developed to investigate the impact of thermoelectric leg distribution and structure on system performance under non-uniform irradiation. A novel heat collector design is proposed to alleviate the adverse effects of irradiation non-uniformity. The findings demonstrate that optimizing the leg structure, particularly through an X-shaped leg design, substantially improves system efficiency. At a system input power of 16.8 W, the maximum efficiency achieved with the X-shaped legs is 2.5 %, marking a 67 % improvement over conventional rectangular legs. Additionally, the newly designed heat collector ensures stable system output despite changes in irradiation uniformity. At an input power of 30 W, the temperature difference between the highest and lowest points on the hot side is reduced to just 22.2 K with the heat collector, compared to 87.1 K without it. This collector effectively mitigates the negative impacts of uneven irradiation, enhancing system uniformity and stability. These results provide valuable insights for the structural optimization of practical STEG systems.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1525-1536"},"PeriodicalIF":4.7,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling and monitoring social media dynamics to predict electricity demand peaks","authors":"Isabella Nunes Grieser ,&nbsp;Tobias Gebhard ,&nbsp;Andrea Tundis ,&nbsp;Jens Kersten ,&nbsp;Tobias Elßner ,&nbsp;Florian Steinke","doi":"10.1016/j.egyr.2024.12.065","DOIUrl":"10.1016/j.egyr.2024.12.065","url":null,"abstract":"<div><div>Information spread on social media can lead to sudden, synchronized actions. If this affects electricity demands, it could result in critical consequences for the power grid. With the rise of social media and fake news and the increasing adoption of power-intensive devices, the risk of misinformation attacks by manipulating consumer behavior becomes more relevant. This paper presents a novel approach for modeling the potential impact of social media dynamics on power systems. We present a conceptual monitoring framework for the real-time detection of critical information propagation and the short-term prediction of electricity demand peaks. Based on a social network graph, a stochastic epidemiological model, the Susceptible–Infectious–Recovered (SIR) model, is employed to simulate the “viral” spread of information. To estimate model parameters from real data, an optimization algorithm is developed. Twitter data of a past disaster event is acquired and used to create a generalized propagation dynamics model, which can then be used to analyze the impact of altered power demands. Specifically, we simulate a demand response attack, where households receive misinformation about reduced electricity prices, encouraging them to activate appliances. The results demonstrate that the synchronized behavior of a minority of affected consumers can lead to sudden increases in the aggregated demand, significantly surpassing usual demand levels. Furthermore, we examine the peak demand for electric vehicle (EV) charging at different adoption rates, showing that the consequences of synchronized behavior are amplified. Our innovative approach opens up new possibilities for power grid nowcasting and enhancing critical infrastructure resilience in a proactive manner, which can avoid load shedding.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1548-1557"},"PeriodicalIF":4.7,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing office air quality: The role of window to wall ratio with window-wind catchers using CFD analysis","authors":"Shouib Nouh Ma’bdeh ,&nbsp;Asia Ali Hamasha ,&nbsp;Majd Al-Shawabkeh ,&nbsp;Razan Omar Alali ,&nbsp;Rahaf Mohammad Almomani ,&nbsp;Laith M. Obeidat ,&nbsp;Odi Fawwaz Alrebei","doi":"10.1016/j.egyr.2025.01.038","DOIUrl":"10.1016/j.egyr.2025.01.038","url":null,"abstract":"<div><div>This research paper delves into the optimization of window size and placement for window wind-catchers (WWCs) in office buildings using a Computational Fluid Dynamics (CFD) simulation approach. Recognizing the critical role of natural ventilation in sustainable building design, this study evaluates various window configurations to maximize airflow rates and indoor air quality (IAQ). CFD simulations were conducted on an office building model with varying window sizes and placements. The findings demonstrate that increasing the window size enhances the airflow rate, with larger windows achieving up to a 40 % increase compared to smaller configurations. Additionally, optimizing window placement reduced stagnation zones by approximately 30 %, improving airflow distribution. These results provide architects, engineers, and building designers with valuable insights into the most effective strategies for optimizing WWCs in office buildings to achieve superior indoor environmental conditions.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1508-1524"},"PeriodicalIF":4.7,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reducing energy and economic costs in post-combustion carbon capture with intelligent amine selection system: A case study on the Abadan power plant","authors":"Farzin Hosseinifard ,&nbsp;Amir Mohsen Soufeh ,&nbsp;Mohsen Salimi ,&nbsp;Milad Hosseinpour ,&nbsp;Majid Amidpour","doi":"10.1016/j.egyr.2025.01.034","DOIUrl":"10.1016/j.egyr.2025.01.034","url":null,"abstract":"<div><div>Global warming has become a pressing global concern, manifesting in rising temperatures and significant adverse effects on human health. In response, various technologies, including carbon capture solutions, have been developed to mitigate carbon emissions. Among these, post-combustion carbon capture (PCC) is particularly noteworthy for its compatibility with existing industrial emission sources. However, PCC systems face significant energy challenges, primarily due to the lack of optimal solvents for specific applications, complicating solvent selection in a diverse market. To address this, we utilized multiple machine learning models to predict and optimize amine solvent selection for a PCC unit at the Abadan power plant. The models tested included KNN, logistic regression, Gaussian processes, decision trees, random forest, AdaBoost, gradient boosting, support vector classification, and artificial neural networks (ANNs). Among these, the random forest model demonstrated the highest performance, achieving a mean area under the curve (AUC) of 0.97, identifying monoethanolamine (MEA) as a potential candidate, though not the final selection. Subsequent simulation and economic analysis were conducted using Aspen HYSYS v11 to compare MEA with diglycolamine (DGA). The results revealed that DGA was the most cost-effective option, reducing total utility system costs by 35.76 % compared to MEA due to its lower solvent regeneration requirements. This study highlights the synergy between machine learning and process simulation tools like Aspen HYSYS in optimizing PCC systems for enhanced economic and environmental performance.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1488-1507"},"PeriodicalIF":4.7,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Allocation strategy of carbon quotas for terminal industries considering tolerance capacity in East China","authors":"Zhang Li ,&nbsp;Wang Bao ,&nbsp;Jia Jianxiong ,&nbsp;Song Zhumeng ,&nbsp;Yu Yue ,&nbsp;Han Dong ,&nbsp;Luo Qibo","doi":"10.1016/j.egyr.2025.01.022","DOIUrl":"10.1016/j.egyr.2025.01.022","url":null,"abstract":"<div><div>In order to clarify the carbon emission credits of terminal industries in China, this paper presents an optimal allocation method of carbon quotas to support power and energy planning. Firstly, a decision model of carbon quota allocation for terminal industries based on a multi-index evaluation system is constructed to realize the fairness of initial carbon quota allocation. Secondly, considering both carbon quota allocation efficiency and the tolerance capacity of industries, a ZSG-DEA multi-objective carbon quota reallocation optimization model is established. With carbon quota allocation relative efficiency minimization and emission reduction cost minimization as the objective functions, the model aims to optimize quota allocation to reduce the financial burden on industries. Finally, provinces in East China are selected to perform the simulation analysis, and the computational accuracy of the proposed method in carbon quota allocation is verified compared with the traditional method.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1441-1449"},"PeriodicalIF":4.7,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing window solar heat gain coefficient for energy and carbon performance in a changing context of electrification and decarbonization","authors":"Holly Samuelson ,&nbsp;Charu Srivastava ,&nbsp;Amir Baniassadi","doi":"10.1016/j.egyr.2025.01.013","DOIUrl":"10.1016/j.egyr.2025.01.013","url":null,"abstract":"<div><div>Traditional building energy code requirements and design best-practices encourage limitations on the passive solar heat gain that can be admitted by window glass. This requirement exists even in cold climates, residential buildings, and equator-facing windows, where winter solar heat gain may be especially beneficial. This study hypothesizes that such solar heat gain limitations may not always lead to optimal operational energy and carbon performance, especially when considering new trends, including solar electricity generation and space heating with air-source heat pumps, which need to work harder at the extreme winter temperatures experienced in cold climates. To investigate, we simulated 13 window solar heat gain coefficient (SHGC) permutations in prototypical south-facing apartments with heat pumps in 19 US cities from mixed to very cold ASHRAE climate zones to compare energy performance, carbon emissions, and peak electricity loads. We calculated the optimal SHGC of the windows and compared these values to the limit set by prescriptive building energy codes. In colder ASHRAE climate zone cases, a higher SHGC than allowable by prescriptive codes improved performance for every metric tested. Optimizing SHGC for annual heating, cooling, and lighting electricity use in the six coldest and cloudiest cities, resulted in savings of 1–6 % annual electricity use, 3–11 % peak-hour heating, cooling, and lighting electricity use, and 6–19 % long-run marginal carbon emissions. These findings suggest that window SHGC limitations, and perhaps other design decisions that include a compromise between heating and cooling performance, may warrant further investigation in this changing context of building electrification and grid decarbonization.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1450-1466"},"PeriodicalIF":4.7,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cornerstones for greater participation of smart renewable energy on clustered islands: The case of Guayas in Ecuador towards 2050","authors":"Daniel Icaza-Alvarez ,&nbsp;Francisco Jurado ,&nbsp;Poul Alberg Østergaard ,&nbsp;Marcos Tostado-Véliz ,&nbsp;Carlos Flores","doi":"10.1016/j.egyr.2025.01.006","DOIUrl":"10.1016/j.egyr.2025.01.006","url":null,"abstract":"<div><div>This article presents a new approach to long-term energy planning based on the concept of smart energy systems. Unfortunately, fossil fuels have had a negative impact on fragile ecosystems, including the coastal islands in the Guayas province of Ecuador considered in this case study. The objective is to structure an energy system that responds to the growing demand by taking advantage of the renewable energy potential of the islands. The cornerstones that support the generation system are based mainly on wind and photovoltaic energy that follows a multisectoral approach, including the heating and cooling, transport, desalination, gas and electricity sectors. The analyses were applied with the support of the EnergyPLAN tool in an intelligent energy structure according to the land use plans, elements that put together the puzzle to design the path towards the 100 % renewable transition that is much friendlier to the environment. This is a novel study that seeks to take advantage of the renewable energy potential available on the islands themselves. Finally, after analyzing the results, it is concluded that the energy mix for 2050 can consider 49.12 % wind power and 38.59 % solar photovoltaic, as well as in smaller proportions 7.02 % biomass and 5.26 % biofuels, thereby achieving 100 % of renewable energy in the grouped islands thanks to their energy potential. Decision makers may consider this study a reference before committing resources and carrying out modern energy planning.</div></div>","PeriodicalId":11798,"journal":{"name":"Energy Reports","volume":"13 ","pages":"Pages 1350-1368"},"PeriodicalIF":4.7,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}