Energy Storage and Saving最新文献_第2页

Seaweed boards as value-added natural waste product for insulation and building materials 海藻板作为高附加值的天然废物，用于隔热和建筑材料

Energy Storage and Saving Pub Date : 2024-12-01 DOI: 10.1016/j.enss.2024.09.001

Kledi Xhaxhiu , Avni Berisha , Nensi Isak , Besnik Baraj , Adelaida Andoni

{"title":"Seaweed boards as value-added natural waste product for insulation and building materials","authors":"Kledi Xhaxhiu , Avni Berisha , Nensi Isak , Besnik Baraj , Adelaida Andoni","doi":"10.1016/j.enss.2024.09.001","DOIUrl":"10.1016/j.enss.2024.09.001","url":null,"abstract":"<div><div>Large amounts of seaweed are deposited on shores worldwide daily. The presence of this natural pollutant on the coast is not only considered an environmental burden but also often hinders the development of tourism in the affected areas. Depending on the beach surface area, local governments worldwide spend considerable portions of their budgets to remove seaweed from beaches. Moreover, the removed seaweed occupies increasing space in landfills where it is disposed. Seaweed is noncombustible and decomposes slowly over long periods. In this study, we consider the use of seaweed (a natural waste) as a value-added product for insulation and building materials. Seaweed (Posidonia Oceanica) boards with dimensions of 250 mm × 60 mm × 10 mm were obtained by pressing a mixture of processed seaweed and an organic binder. The as-prepared boards were analyzed for their physical–mechanical properties according to the British standards. The boards with a mean humidity level of 9.15% and density of 0.4045 g·cm<sup>−3</sup> demonstrated a maximum bending resistance of 2.720 × 10<sup>3</sup> N·m<sup>−2</sup> and mean expansion upon water adsorption of ∼10% with regards to length and width and ∼30% with regards to height. The tested samples showed significant humidity resistance according to the boiling test and an average thermal conductivity of 0.047 W·m<sup>−1</sup>·K<sup>−1</sup>, which is comparable to that of polystyrene. Computational analysis of the “seaweed material” model revealed significant thermal and mechanical properties. The mechanical strength of the computed material, including its high Young’s and shear moduli, renders it a promising candidate in construction.</div></div>","PeriodicalId":100472,"journal":{"name":"Energy Storage and Saving","volume":"3 4","pages":"Pages 270-277"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747108","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}

引用次数: 0

Corrigendum to “Sensitivity analysis of borehole thermal energy storage: examining key factors for system optimization” [Energy Storage and Saving, 2024, 3/3 (2024), 218–230] “钻孔储热敏感性分析：系统优化关键因素考察”的勘误表[储能与节能，2024,3/3 (2024),218-230]

Energy Storage and Saving Pub Date : 2024-12-01 DOI: 10.1016/j.enss.2024.11.003

Piyush Kumar Kumawat , Haiyan Zhou , Kevin Kitz , John McLennan , Kody Powell , Milind Deo , Palash Panja

引用次数: 0

Prediction of room temperature in Trombe solar wall systems using machine learning algorithms 使用机器学习算法预测Trombe太阳能墙系统的室温

Energy Storage and Saving Pub Date : 2024-12-01 DOI: 10.1016/j.enss.2024.09.003

Seyed Hossein Hashemi , Zahra Besharati , Seyed Abdolrasoul Hashemi , Seyed Ali Hashemi , Aziz Babapoor

引用次数: 0

An RFCSO-based grid stability enhancement by integrating solar photovoltaic systems with multilevel unified power flow controllers 基于rfcso的太阳能光伏系统与多级统一潮流控制器集成增强电网稳定性

Energy Storage and Saving Pub Date : 2024-12-01 DOI: 10.1016/j.enss.2024.10.004

Swetha Monica Indukuri , Alok Kumar Singh , D. Vijaya Kumar

{"title":"An RFCSO-based grid stability enhancement by integrating solar photovoltaic systems with multilevel unified power flow controllers","authors":"Swetha Monica Indukuri , Alok Kumar Singh , D. Vijaya Kumar","doi":"10.1016/j.enss.2024.10.004","DOIUrl":"10.1016/j.enss.2024.10.004","url":null,"abstract":"<div><div>Multilevel unified power flow controllers (ML-UPFCs) aim to improve grid stability, power quality, and fault management. This approach is particularly beneficial for renewable energy systems connected to a grid, where efficient power flow and robust fault handling are crucial for maintaining system reliability. However, current grid-integrated systems face challenges such as inefficient fault management, harmonic distortions, and instability when dealing with nonlinear loads. Existing control strategies often lack the flexibility and optimization required to handle these issues effectively in dynamic grid environments. Therefore, the proposed methodology involves a multistep control strategy to optimize the integration of solar photovoltaic (SPV) systems with ML-UPFCs. Initially, the SPV array generates direct current (DC) power, which is optimized using a perturb and observe maximum power point tracking controller. The DC-to-DC boost converter then steps up the voltage for input to a voltage source inverter (VSI) or voltage source converter (VSC). The VSI/VSC, enhanced by greedy control-based monarch butterfly optimization, converts DC to AC while minimizing harmonic distortion. The power is then fed into the grid, which supplies sensitive critical and nonlinear loads. Three-phase fault detection mechanisms and series transformers manage the power flow and fault conditions. Furthermore, the ML-UPFC, controlled by a random forest cuckoo search optimization algorithm, enhances the fault ride-through capabilities and power regulation. Additional transformers and a shunt transformer optimize the voltage levels and reactive power management, ensuring stable and high-quality power delivery to both sensitive and nonlinear loads. Finally, the proposed approach addresses power flow optimization, fault mitigation, and nonlinear load management with the aim of enhancing grid stability and efficiency.</div></div>","PeriodicalId":100472,"journal":{"name":"Energy Storage and Saving","volume":"3 4","pages":"Pages 341-351"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143129213","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}

引用次数: 0

Modeling of GAO-ANFIS controller based hybrid solar photovoltaic and wind power system with seven-level converter 基于 GAO-ANFIS 控制器的七电平转换器太阳能光伏和风能混合发电系统建模

Energy Storage and Saving Pub Date : 2024-12-01 DOI: 10.1016/j.enss.2024.05.002

Nallam Vani Annapurna Bhavani , Alok Kumar Singh , D. Vijaya Kumar

{"title":"Modeling of GAO-ANFIS controller based hybrid solar photovoltaic and wind power system with seven-level converter","authors":"Nallam Vani Annapurna Bhavani , Alok Kumar Singh , D. Vijaya Kumar","doi":"10.1016/j.enss.2024.05.002","DOIUrl":"10.1016/j.enss.2024.05.002","url":null,"abstract":"<div><div>In response to the growing demand for electricity and the depletion of fossil fuel resources, nations are transitioning towards renewable energy systems as viable alternatives for power generation. Wind and solar photovoltaic (SPV) energy systems have emerged as promising, sustainable options. However, conventional multilevel inverters fail to control both wind and SPV energy simultaneously. Therefore, in this study, a hybrid SPV wind power system with a level converter (HPWPS-SLC) was developed using a wind-based permanent magnet synchronous generator and SPV energy grid sources. The HPWPS-SLC leverages the benefits of the genetic algorithm-optimized adaptive neuro-fuzzy inference system controller for efficient energy generation and management. In addition, a pulse width modulation controller with a hybrid asymmetric switching scheme was implemented to reduce the total harmonic distortion (THD). This approach enables high switching frequency while minimizing the switch count, thereby reducing the losses and costs associated with conventional techniques. Simulation results show that the proposed HPWPS-SLC system achieves a power factor of 0.7 and a THD of 25.02 % for grid voltages under fault conditions. Despite the fault conditions, maintaining a THD value of 25.02 % ensures a better grid voltage waveform quality and minimizes distortions for stable operation. Utilizing a 42-cycle signal with a fast Fourier transform of 17 cycles enables finer resolution in harmonic analysis up to the 16th order, thereby enhancing the overall system performance.</div></div>","PeriodicalId":100472,"journal":{"name":"Energy Storage and Saving","volume":"3 4","pages":"Pages 259-269"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141852961","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}

引用次数: 0

Experimental study of four-step thermal swing adsorption cycle to upgrade biogas obtained from anaerobic digestion 四步热摆吸附循环对厌氧消化沼气的升级试验研究

Energy Storage and Saving Pub Date : 2024-12-01 DOI: 10.1016/j.enss.2024.10.001

Jackline Mwende Mutunga , Hiram Ndiritu , Meshack Hawi , Peter Oketch

{"title":"Experimental study of four-step thermal swing adsorption cycle to upgrade biogas obtained from anaerobic digestion","authors":"Jackline Mwende Mutunga , Hiram Ndiritu , Meshack Hawi , Peter Oketch","doi":"10.1016/j.enss.2024.10.001","DOIUrl":"10.1016/j.enss.2024.10.001","url":null,"abstract":"<div><div>Biogas is a renewable source of energy that when upgraded can be adopted as a reliable and sustainable alternative. This study evaluates the performance of thermal swing adsorption technology applying resistive heating, in upgrading biogas obtained from anaerobic digestion to biomethane. Commercial coconut shell-based activated carbon was used as an adsorbent in the four-step cycle process to capture carbon dioxide, using a fabricated adsorption model. The influence of minor gas constituents of biogas in carbon dioxide breakthrough curves was analyzed. Dynamic adsorption tests were carried out to evaluate the system performance in carbon dioxide capture. The maximum regeneration temperature of 60 ℃ was found to have peak carbon dioxide concentration of 39% in the waste gas, maximum energy requirements of 0.1538 kWh per cycle, and an energy efficiency of 87%. This is a good trade-off between adsorbent recovery and system energy efficiency. The adoption of thermal swing adsorption technology in biogas upgrading systems is a viable alternative for water-deficient regions.</div></div>","PeriodicalId":100472,"journal":{"name":"Energy Storage and Saving","volume":"3 4","pages":"Pages 278-287"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142746984","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}

引用次数: 0

Experimental investigation of the effect of phase change material on backup time and equivalent energy consumption of domestic refrigerator 相变材料对家用冰箱备用时间和等效能耗影响的实验研究

Energy Storage and Saving Pub Date : 2024-12-01 DOI: 10.1016/j.enss.2024.07.001

Laxman N. Mane, Pradeep A. Patil

{"title":"Experimental investigation of the effect of phase change material on backup time and equivalent energy consumption of domestic refrigerator","authors":"Laxman N. Mane, Pradeep A. Patil","doi":"10.1016/j.enss.2024.07.001","DOIUrl":"10.1016/j.enss.2024.07.001","url":null,"abstract":"<div><div>Load shedding is a significant problem in rural areas. During a power outage, the cabin temperature of a refrigerator increases owing to the heat gain. In practice, a door should be opened to load and unload refrigerator products, particularly when the power failure period is longer. The use of a phase-change material (PCM) in the refrigerator cabin restricts the increase in temperature and provides a backup time that reduces energy consumption. Door-opening tests are essential during a power cut-off time to investigate the reduction in backup time owing to door openings. This article presents an experimental investigation on the influence of PCM masses of potassium chloride, sodium chloride, and sodium fluoride dissolved in water on the backup time and equivalent energy consumption of a domestic refrigerator for closed and open doors according to the standards IS 1476 and IEC 62552:2015. The backup time of closed-door tests was significantly increased by the PCM for all masses, i.e., between 15 and 200 min in absolute terms and between 14% and 182% in relative terms. The backup time for the closed-door tests was 1.8–1.03 times longer than that for the door-opening tests. The backup time of door-opening tests decreased significantly owing to heat entering the cabin for all masses, i.e., between 50 and 10 min in absolute terms and between 45.45% and 3.23% in relative terms. The equivalent energy consumption of a refrigerator decreased with an increase in PCM mass. In closed-door tests, it varied from 0.55 to 0.41 kWh. 6-1 h for the 0–1.75 kg mass of all tested PCMs. In the door-opening tests, the equivalent energy consumption increased owing to door opening. The equivalent energy consumption for the door-opening tests was 1.12–1.02 times larger than that for the closed-door tests.</div></div>","PeriodicalId":100472,"journal":{"name":"Energy Storage and Saving","volume":"3 4","pages":"Pages 250-258"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747107","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}

引用次数: 0

Passive battery thermal management and thermal safety protection based on hydrated salt composite phase change materials 基于水合盐复合相变材料的无源电池热管理与热安全保护

Energy Storage and Saving Pub Date : 2024-12-01 DOI: 10.1016/j.enss.2024.08.003

Jingshu Zhang, Qian Liu, Xiaole Yao, Chen Sun, Xiaoqing Zhu, Chao Xu, Xing Ju

{"title":"Passive battery thermal management and thermal safety protection based on hydrated salt composite phase change materials","authors":"Jingshu Zhang, Qian Liu, Xiaole Yao, Chen Sun, Xiaoqing Zhu, Chao Xu, Xing Ju","doi":"10.1016/j.enss.2024.08.003","DOIUrl":"10.1016/j.enss.2024.08.003","url":null,"abstract":"<div><div>Lithium-ion batteries (LIBs) are progressing towards higher energy densities, extended lifespans, and improved safety. However, battery thermal management systems are facing increased demand owing to high-rate charging and discharging, dynamic operating conditions, and heightened thermal safety concerns. Therefore, this paper proposes a novel composite phase change material (CPCM) comprising Na<sub>2</sub>SO<sub>4</sub>–10H<sub>2</sub>O as the core phase change material (PCM) and expanded graphite as the thermal conductivity enhancer. The CPCM offers high latent heat, superior thermal conductivity, and a two-stage temperature control function for battery thermal management and safety. The optimal mass CPCM ratio, determined through comprehensive characterization and thermal property tests, resulted in a melting point of 29.05 °C, latent heat of 183.7 J·g<sup>−1</sup>, and high thermal conductivity of 3.926 W·m<sup>−1</sup>·K<sup>−1</sup>. During normal LIB operations, the CPCM efficiently absorbs and transfers heat, reducing the peak LIB temperature from 66 to 34 °C at 15 °C ambient temperature during a 3.7C high-rate discharge. Under dynamic conditions, the peak temperatures across the three cycles were consistently controlled at 36.7, 36.4, and 35.8 °C, respectively. In a thermal runaway state, the thermochemical heat storage of hydrated salt dehydration effectively slowed LIB temperature increase, delaying the time to reach 130 °C by 187 s. Suppression of the temperature rise outside the CPCM, combined with an extended dehydration plateau of up to 320 s, prevented the occurrence and propagation of thermal runaway in the battery.</div></div>","PeriodicalId":100472,"journal":{"name":"Energy Storage and Saving","volume":"3 4","pages":"Pages 305-317"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143129359","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}

引用次数: 0

Adaptive control strategies for effective integration of solar power into smart grids using reinforcement learning 基于强化学习的太阳能有效集成到智能电网的自适应控制策略

Energy Storage and Saving Pub Date : 2024-12-01 DOI: 10.1016/j.enss.2024.08.002

Deepak Singh , Owais Ahmad Shah , Sujata Arora

{"title":"Adaptive control strategies for effective integration of solar power into smart grids using reinforcement learning","authors":"Deepak Singh , Owais Ahmad Shah , Sujata Arora","doi":"10.1016/j.enss.2024.08.002","DOIUrl":"10.1016/j.enss.2024.08.002","url":null,"abstract":"<div><div>Integrating solar power into smart grids is challenging because of the variable nature of solar energy. This study focuses on implementing reinforcement learning (RL) using a Deep Q-Network algorithm to enhance the stability and efficiency of a grid. A custom environment was designed using OpenAI Gym, in which real-time simulation of grid operations was conducted using real-time data on solar power, weather, and other grid metrics. The trained RL agent exhibited high predictability in optimally distributing the load and managing the battery storage, with <em>R</em>-squared = 0.886, mean average error = 1,173,046.55 Wh, and root mean squared error = 2,075,515.10 Wh. The model effectively captured the seasonality and daily variations in solar power generation. Forecasting using the proposed model provides insights into future energy trends and uncertainties. The reward function will be further refined and scaled for more complex energy systems by incorporating additional variables and hybrid approaches. This study highlights the potential of RL-based adaptive control strategies for developing more efficient and resilient integration of renewable energy sources into smart grids.</div></div>","PeriodicalId":100472,"journal":{"name":"Energy Storage and Saving","volume":"3 4","pages":"Pages 327-340"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143129611","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}

引用次数: 0

Multicriteria approach for evaluating biowaste-valorization cases 评价生物废物价值案例的多标准方法

Energy Storage and Saving Pub Date : 2024-12-01 DOI: 10.1016/j.enss.2024.06.002

Carlota Díaz García , Maryori Díaz , Elena Laborda , María Pérez , Pantelis Pekakis

{"title":"Multicriteria approach for evaluating biowaste-valorization cases","authors":"Carlota Díaz García , Maryori Díaz , Elena Laborda , María Pérez , Pantelis Pekakis","doi":"10.1016/j.enss.2024.06.002","DOIUrl":"10.1016/j.enss.2024.06.002","url":null,"abstract":"<div><div>The selection of waste-valorization projects is a complex decision process that involves many factors and variables to guarantee an appropriate definition of the best waste-management strategy to be applied for a specific waste typology. Different technological approaches can be identified based on the diverse waste types, such as fish byproducts, spent coffee grounds, used cooking oils, and sewage sludge. To identify the most suitable and sustainable method for processing each residue type, one must consider multiple criteria in the decision-making process (i.e., economic, technological, environmental, social, and political) to define a specific waste-management strategy. In this study, the analytical-hierarchy-process model is applied to evaluate waste-treatment projects based on the criteria above. This methodological approach involves several steps. First, existing state-of-the-art projects are critically reviewed to identify more advanced solutions for waste management. Second, biowaste projects are characterized by the application of multiple criteria and subcriteria. Finally, prioritized solutions are generated to elucidate the ranking of biowaste based on a hierarchical structure.</div></div>","PeriodicalId":100472,"journal":{"name":"Energy Storage and Saving","volume":"3 4","pages":"Pages 288-294"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142746985","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}

引用次数: 0