{"title":"Mechanochemistry induced various surface microstructural transformation in hard/soft carbons for sodium storage","authors":"Lingwei Kong, Zhimeng Shen, Dan Zhao, Gaobo Chang, Tingjun Fu, Zhong Li, Hanqing Zhao","doi":"10.1016/j.est.2024.114439","DOIUrl":"10.1016/j.est.2024.114439","url":null,"abstract":"<div><div>Hard carbon (HC) and soft carbon (SC) are two classic anode materials for sodium-ion batteries. Various sodium storage behaviors are always induced by the different order degree in the graphitic layers of two carbon materials. Herein, the mechanochemical effects on the structures and electrochemical performances of HC/SC were studied. Comparably, the short-range ordered structure in SC transforms into a more disordered structure, and the degree of change is more pronounced than HC, thus indicating a higher increase of defects and more transformation of oxygen groups directionally. Notably, some new micropore structure were formed on the disordered surface of HC, which are absent from the SC. The performance of SC treated by mechanochemistry is improved by 23.2 %, higher than HC (19.4 %). The structural evolution of the classical HC and SC modified by mechanochemical effect provides a novel and comprehensive insight on carbon-based anode materials in energy storage field.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":null,"pages":null},"PeriodicalIF":8.9,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhihao Wang , Zicheng Zhang , Yihan Wang , WuYan Li , Shuli Liu
{"title":"Comprehensive study of a volcanic-based hydrated salt thermochemical energy storage composites for buildings heating in China's low-latitude plateau region: Development, characterisation, and analysis","authors":"Zhihao Wang , Zicheng Zhang , Yihan Wang , WuYan Li , Shuli Liu","doi":"10.1016/j.est.2024.114396","DOIUrl":"10.1016/j.est.2024.114396","url":null,"abstract":"<div><div>Thermochemical energy storage technologies can be integrated with building heating to promote the application of renewable energy. In this study, to address the challenges between the substantial heating demand and the imbalanced supply for buildings in the low-latitude plateau regions of China, a novel and cost-effective hydrated salt composite has been developed based on volcanic from TengChong. The composite was prepared by impregnating acid-treatment volcanic into a 20 % concentration of a 1:1.5 mass ratio MgCl<sub>2</sub>-CaCl<sub>2</sub> solution. The BET results revealed that acid treatment increased the pore volume and the proportion of mesopores in the volcanic, which resulted in better absorption of the hydrated salts. The water adsorption capacity of the acid treatment's composites at 25 °C and RH 90 % reached 0.79 g/g. The energy storage density of the volcanic acid-treatment adsorbed hydrated salt (VAS) was 601.33 kJ/kg through DSC testing. VAS can achieve 84.15 % of the energy storage density at 68 % of the cost of MgCl<sub>2</sub>-CaCl<sub>2</sub>-zeolite-13×. Based on the subsequent environmental and economic analyses, the new composite was found to have significant potential for energy savings and carbon emission reduction if employed in building heating systems.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":null,"pages":null},"PeriodicalIF":8.9,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ding Luo , Ye Zhao , Jin Cao , Zihao Wu , Xuelin Yang , Hao Chen
{"title":"Effective temperature control of a thermoelectric-based battery thermal management system under extreme temperature conditions","authors":"Ding Luo , Ye Zhao , Jin Cao , Zihao Wu , Xuelin Yang , Hao Chen","doi":"10.1016/j.est.2024.114344","DOIUrl":"10.1016/j.est.2024.114344","url":null,"abstract":"<div><div>To effectively control the battery temperature at extreme temperature conditions, a thermoelectric-based battery thermal management system (BTMS) with double-layer-configurated thermoelectric coolers (TECs) is proposed in this article, where eight TECs are fixed on the outer side of the framework and four TECs are fixed on the inner side. Furthermore, a transient fluid-thermal-electric multiphysical field coupling model is developed to assess its dynamic thermal performance. To highlight the merit of the proposed concept, the proposed thermoelectric-based BTMS is compared with the traditional BTMS configuration without TECs, and parametric (TEC input current, air convection heat transfer coefficient, and coolant velocity) studies are conducted at the high temperature limit (313.15 K) and the extremely low temperature (268.15 K). Results indicate that the traditional BTMS configuration without TECs fails to achieve rapid cooling of the battery, and the introduction of TECs can effectively control battery temperature. In addition, if the input current of TECs is augmented, the BTMS would exhibit superior cooling performance. Correspondingly, the stable maximum temperature (<em>T</em><sub>max</sub>) would depreciate from 308.41 K to 306.32 K upon increasing the current from 1 A to 5 A. It is worth highlighting that even a small input current of 1 A meets the thermal management needs of batteries. The thermoelectric-based BTMS can also effectively preheat batteries at extremely low temperatures, reaching the optimal operating temperature of 293.15 K in 555 s with a 1 A input current, and reduced to only 95 s when the current is increased to 3 A. This paper provides a new strategy for battery thermal management.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":null,"pages":null},"PeriodicalIF":8.9,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adaptive two-dimensional coupled unsaturated asymmetric combined Gaussian potential stochastic resonance energy gain model and application of bearing fault diagnosis","authors":"Lianbing Xu , Gang Zhang , Xiaoxiao Huang","doi":"10.1016/j.est.2024.114239","DOIUrl":"10.1016/j.est.2024.114239","url":null,"abstract":"<div><div>Fault diagnosis of mechanical equipment is critical to energy storage, and stochastic resonance shows great potential in the field of diagnosing weak fault signals. To enhance the detection capabilities, a new system called adaptive TCUACGSR (two-dimensional coupled unsaturated asymmetric combined Gaussian potential stochastic resonance) has been proposed. Firstly, based on the two-state theory, the steady-state probability density (SPD), the mean first passage time (MFPT), and the signal-to-noise ratio (SNR) of the TCUACGSR system are derived. Then, the mean signal-to-noise gain (MSNRG) is used to further analyze the performance improvement of the system, and the mean energy gain (MEG) is used to measure the energy conversion of the system. Finally, it is combined with the Adaptive Genetic Algorithm (AGA) for practical bearing fault diagnosis. Experimental results show that compared with the UACGSR and TCBSR systems, the MSNRG of the TCUACGSR system is 0.112 dB and 6.647 dB higher, and the MEG is 22.63 dB and 1.881 dB higher, with amplitude ranges 183.28 and 1.54 times higher than theirs, respectively. This highlights the theoretical importance and practical value of the system in identifying the characteristic frequencies of faults and improving noise immunity and energy gain.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":null,"pages":null},"PeriodicalIF":8.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142571295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Charging scheduling strategy for electric vehicles in residential areas based on offline reinforcement learning","authors":"Runda Jia , Hengxin Pan , Shulei Zhang , Yao Hu","doi":"10.1016/j.est.2024.114319","DOIUrl":"10.1016/j.est.2024.114319","url":null,"abstract":"<div><div>As the number of electric vehicles(EVs) increases, reinforcement learning(RL) faces more challenges in EV charging scheduling. Online RL requires lots of interaction with the environment and trial and error, which may lead to high costs and potential risks. In addition, the large-scale application of EVs causes curse of dimensionality in RL. In response to these problems, this work constructed a residential area microgrid model that comprehensively considered the nonlinear charging models of different types of EVs and the vehicle-to-grid (V2G) mode. The charging scheduling problem is represented as a Constrained Markov Decision Process (CMDP), employing a model-free RL framework to proficiently address uncertainties. In response to the curse of dimensionality problem, this paper designs a charging strategy, and divides EVs into different sets according to their statuses. The agent transmits control signals to the sets, thereby efficiently reducing the dimension of the action space. Subsequently, the Lagrangian-BCQ algorithm is trained using the offline data set, the charging strategy based on the Lagrangian-BCQ algorithm is employed to address the CMDP, with the incorporation of a safety filter to guarantee compliance with stringent constraints. Through numerical simulation experiments, the effectiveness of the strategy proposed in this work was verified.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":null,"pages":null},"PeriodicalIF":8.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ismaila Taiwo Bello , Dieketseng Tsotetsi , Bokome Shaku , Oluwaseun Adedokun , Da Chen , Mokhotjwa Simon Dhlamini
{"title":"Advances in MoS2-based nanomaterials for supercapacitors, batteries and photovoltaics applications","authors":"Ismaila Taiwo Bello , Dieketseng Tsotetsi , Bokome Shaku , Oluwaseun Adedokun , Da Chen , Mokhotjwa Simon Dhlamini","doi":"10.1016/j.est.2024.114355","DOIUrl":"10.1016/j.est.2024.114355","url":null,"abstract":"<div><div>Molybdenum sulfide (MoS<sub>2</sub>) nanomaterials have been of great interest in recent years, within the family of layered transition metal dichalcogenides (TMDCs). Owing to their fascinating properties, MoS<sub>2</sub> nanomaterials have proven to be a potential candidate for optimal performances in energy storage and harvesting technologies as well as the various fields of photocatalysis, electrochemical sensors, hydrogen evolution reactions, lubrications, and gas sensors. The synergistic effect of TMDCs' nanomaterials has enhanced electrochemical properties, resulting in improvements in energy storage and harvesting applications. The recent advancement in the usage of MoS<sub>2</sub>-based nanomaterials for energy production and storage prompts us to examine the current trend of the progress made in researching their properties for promising electrode materials. In this review, we emphasize the progress in the ongoing research activities in MoS<sub>2</sub>-based nanomaterials as one of the topical materials in TMDCs for supercapacitors, batteries, and photovoltaic applications to provide insight for future research.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":null,"pages":null},"PeriodicalIF":8.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"A recent review on thermal management of photovoltaic panels using phase change material based on thermal conductivity enhancers for sustainable buildings","authors":"Ahmad Al Miaari , Hafiz Muhammad Ali","doi":"10.1016/j.est.2024.113936","DOIUrl":"10.1016/j.est.2024.113936","url":null,"abstract":"<div><div>Energy is a crucial factor in a nation's ability to develop sustainably. One of the primary means of achieving sustainably is through the use of renewable energy. Photovoltaic (PV) is considered a popular renewable energy production technology. However, the PV power production is negatively impacted by the PV temperature raise. Different strategies have been proposed to reduce the impact of temperature on PV cells. One of them is the use of phase change material (PCM). PCM with high latent heat of fusion can passively cool and maintain the temperature of PV at a proper level. Yet its low thermal conductivity affects the thermal management process. The main purpose of this paper is to summarize the various work done by numerous researchers to improve the thermal management of PV modules using PCMs. Additionally, this paper evaluates the thermal and electrical performance improvements based on different strategies to enhance PCM thermal conductivity. Furthermore, the paper provides background information on PCM categories, materials, and selection criteria, offering researchers insights into PCM and PV integrations. Moreover, the paper discusses the economic aspect of integrating PCM with PV for passive cooling in building applications. The main results show that integrating enhanced PCM, using thermal enhancers, with PV can reduce the PV temperature by 25 K and the electrical efficiency can increase by more than 10 %.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":null,"pages":null},"PeriodicalIF":8.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Osman Gencel , Ercan Aydoğmuş , Onur Güler , Abid Ustaoğlu , Ahmet Sarı , Gökhan Hekimoğlu , Ahmet Bozkurt , Togay Ozbakkaloglu
{"title":"Sustainable polyurethane biocomposite foams by improved microstructure, acoustic characteristics, thermoregulation performance and reduced CO2 emission through phase change material integration","authors":"Osman Gencel , Ercan Aydoğmuş , Onur Güler , Abid Ustaoğlu , Ahmet Sarı , Gökhan Hekimoğlu , Ahmet Bozkurt , Togay Ozbakkaloglu","doi":"10.1016/j.est.2024.114372","DOIUrl":"10.1016/j.est.2024.114372","url":null,"abstract":"<div><div>In this research, phase change material (PCM) comprised of energy storage biocomposite materials were improved with raw materials obtained from renewable resources. Modified raw material was synthesized by epoxy castor oil (ECO). After mixing the obtained modified castor oil (MCO) and polyether polyol, PCM of capric acid (CA) was supplemented. To initiate the chemical reaction, a certain amount of methylene diphenyl diisocyanate (MDI) was added to the mixture to provide cross-linking. The physical and chemical properties of the resulting biocomposite foams (BCF) were characterized. According to the results obtained, mixing MCO into polyether raw material increased the number of closed pores in BCF resulting in more CA stored in BCF cells produced. The use of MCO in BCF materials increased the CA integration ratio to 68 wt%. The melting enthalpy value of the novel BCF-PCM composites has been determined as 121.43 J/g. In a warm environment, the PCM additive creates a temperature difference exceeding 6 °C, while in a cold environment, it provides a cooling effect close to 6 °C. A more than 50 % improvement in thermal conductivity was achieved with 68 wt% PCM addition compared to pure BCF. The addition of PCM caused a reduction in tensile stress and strain values to an acceptable level. BCFs with PCM additives exhibit a sound absorption coefficient of 0.9 in narrow frequency ranges, whereas, in broad frequency ranges, this value was more than 0.7. In cold weather conditions, employing BCF-PCM material instead of traditional EPS material with a thickness of 0.1 m has led to at least a 30 % drop in CO<sub>2</sub> emissions, no matter the type of fuel used for heating. When opting for BCF-PCM materials, the necessary heat demand was approximately 33 % less compared to using the same thickness of EPS in cold climates.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":null,"pages":null},"PeriodicalIF":8.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Experimental investigations of a novel phase change material and nano enhanced phase change material based passive battery thermal management system for Li-ion battery discharged at a high C rate","authors":"Aditya Bais , Dattatraya Subhedar , Satyam Panchal","doi":"10.1016/j.est.2024.114395","DOIUrl":"10.1016/j.est.2024.114395","url":null,"abstract":"<div><div>Increasing energy demand from EVs requires the use of powerful Li-Ion batteries due to their high energy density and low self-discharge. But at high rates of discharge (C rate) Li-Ion batteries exhibit a rise in battery temperature due to which, they can exhibit erosion in their performance. At high temperatures (>50 °C), thermal runaway can occur leading to battery fire and explosion thus, eroding consumer confidence. The current study has experimentally investigated a novel Battery Thermal Management System (BTMS) using RT-47 as Phase Change Material (PCM) and enhancing it with <span><math><mi>γ</mi></math></span>-Al<sub>2</sub>O<sub>3</sub> nanoparticles at 0.5, 1, 1.5, 2 and 4 wt% concentrations making Nano-enhanced PCM (NePCM). Five battery packs were assembled based on selected NePCM after characterization i.e., bare, RT-47, 0.5, 1.0, 1.5 wt% NePCM. These packs were subjected to high discharge conditions at 3C discharge rate (12 A current draw) while monitoring their temperature and discharge times. Results showed the maximum temperature of all packs to be approx. 49.3, 43.0, 42.0, 42.0 and 44.0 °C respectively. A pack containing 0.5 wt% NePCM performed best with a discharge time of 1113s compared to less than 1000s for all other packs. Thus, 0.5 wt% NePCM based BTMS was selected as the best performer. Comparing the maximum temperature of similar studies, PA05 (43 °C) pack performed better than Hybrid BTMS with PCM and Liquid Cooling (45 °C) and Inorganic PCM based BTMS (64.20 °C) but performed worst compared to bi-NePCM arrangement (38 °C). All BTMS packs weighed <20 % of bare pack thus, deemed feasible.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":null,"pages":null},"PeriodicalIF":8.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142571825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kun Zheng , Zhengxiang Song , Zhipeng Yang , Feifan Zhou , Kun Yang , Jinhao Meng
{"title":"Assessment of the battery pack consistency using a heuristic-based ensemble clustering framework","authors":"Kun Zheng , Zhengxiang Song , Zhipeng Yang , Feifan Zhou , Kun Yang , Jinhao Meng","doi":"10.1016/j.est.2024.114376","DOIUrl":"10.1016/j.est.2024.114376","url":null,"abstract":"<div><div>With the deterioration of the cells' consistency, the overall performance and maintenance of the battery energy storage system (BESS) is significantly limited. In this thread, assessing the battery pack consistency is always critical to manage the BESS operation. Since the real-world BESS lacks the opportunity to receive a trustworthy label, it's troublesome to accurately evaluate the consistency of a battery pack. Thus, this paper proposes a novel heuristic-based ensemble clustering framework enabling to evaluate the consistency of the battery pack according to the statistical consistency indicators (CIs) from the daily operation measurement data of BESS. An automatic formulation procedure is designed to intelligently select the useful CIs and effective clustering algorithms, where an enhanced genetic algorithm is used to optimize the ensemble clustering model simultaneously. Twelve CIs accessible from practical applications are chosen to fully use the voltage and temperature information. The validation of the proposed method is proved on datasets from constructed battery packs and real-world BESS. The findings reveal that, across both datasets, the average root mean square error (<em>RMSE</em>), mean absolute error (<em>MAE</em>), and r-square (<em>R</em><sup>2</sup>) values for the assessments of normalized battery pack consistency are 8.54 %, 6.96 %, and 0.91, respectively.</div></div>","PeriodicalId":15942,"journal":{"name":"Journal of energy storage","volume":null,"pages":null},"PeriodicalIF":8.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142571826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}