Sustainable Energy Technologies and Assessments最新文献

{"title":"A high-frequency reduced-order model for parameters optimization of AC/DC distribution systems considering random disturbances","authors":"Songhan Jiang,&nbsp;Ke Peng,&nbsp;Xueshen Zhao,&nbsp;Jiajia Chen,&nbsp;Yan Jiang,&nbsp;Yuxin Liu","doi":"10.1016/j.seta.2024.103969","DOIUrl":"10.1016/j.seta.2024.103969","url":null,"abstract":"<div><div>Accompanying the rapid development of AC/DC distribution systems, along with the random disturbances introduced by a significant number of distributed generations and loads, the difficulty of system stability analysis has increased. The phenomenon of DC bus voltage instability has become severe, affecting the safe and stable operation of power systems. This paper focuses on the research of multi-terminal AC/DC distribution systems. A reduced-order method for multi-terminal distribution systems is proposed. Through parameter equivalent transformation, the system model is simplified while maintaining its dynamic characteristics. Parameter sensitivity analysis is utilized to identify key parameters influencing the system’s dynamic behavior, achieving an analytical expression of the system’s dynamic characteristics. And stability domain analysis is applied to delineate the variations in system dynamic behavior and responses to random disturbances under different parameter settings. Then a multi-parameter optimization method is designed to enhance system stability while achieving fast system response. Finally, theoretical analysis is validated through software simulation and hardware-in-the-loop experiments.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"71 ","pages":"Article 103969"},"PeriodicalIF":7.1,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142358898","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":"Modeling and optimization of biomethanation of rice straw with biochar supplementation using response surface methodology and machine learning","authors":"Sachin Krushna Bhujbal,&nbsp;Pooja Ghosh,&nbsp;Virendra Kumar Vijay","doi":"10.1016/j.seta.2024.104006","DOIUrl":"10.1016/j.seta.2024.104006","url":null,"abstract":"<div><div>Anaerobic digestion (AD) of lignocellulosic wastes offers sustainable waste management with the production of renewable energy and nutrient-rich bio-slurry. However, the chemical recalcitrant structure of lignocellulosic waste hinders its hydrolysis and biomethanation under AD. Biochar addition has been reported to alleviate toxicity inhibition and improve the degradability of lignocellulosic wastes, biogas and methane yield, and stability of the AD process. Therefore, in this study<strong>,</strong> substrate loading (% total solids (TS)), inoculum loading (% TS), and biochar dosage (w/v%) were optimized to maximize the methane yield by using central composite design (CCD) based response surface methodology (RSM) and genetic algorithm (GA). The second-order quadratic model was established by CCD-RSM, which revealed the notable interaction between substrate loading and biochar dosage (p-value &lt; 0.0001) and between inoculum loading and biochar dosage (p-value &lt; 0.05). Based on the root mean square error (RMSE) and coefficient of determination (R²) values, the cumulative methane yield (CMY) prediction performance of the artificial neural network (ANN) (RMSE = 0.876, R² = 0.9894) was more reliable and accurate than CCD-RSM (RMSE = 3.34, R² = 0.9956). The GA optimal conditions showed 8.6% higher methane yield (293.7 ± 7.26 mL/g VS) than the CCD-RSM (270.2 ± 10.69 mL/g VS). The methane yield obtained at optimal conditions of GA was 54.9% higher than the control. The CCD-RSM and ANN-GA can also be used for process modeling and optimization in other contexts. The optimal outcomes obtained in this study could pave the way for the prediction and operation of continuous AD of rice straw supplemented with additives such as biochar for large-scale bioenergy production.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"71 ","pages":"Article 104006"},"PeriodicalIF":7.1,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142358897","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":"A Methodological Framework for the development of a hybrid renewable energy system with seawater Pumped storage Hydropower system under uncertainty in Karystos, Greece","authors":"S. Skroufouta,&nbsp;A. Mavrogiannis,&nbsp;E. Baltas","doi":"10.1016/j.seta.2024.104002","DOIUrl":"10.1016/j.seta.2024.104002","url":null,"abstract":"<div><div>The need to minimize energy reliance and its repercussions and accretive<!--> <!-->water scarcity necessitates research into renewable energy resources. Hybrid renewable energy systems are an apparent solution for areas and countries like Greece, especially when combined with seawater-pumped storage hydropower systems, where wind potential and topography foster such approaches. Moreover, it is essential to understand the uncertainty of the involved natural processes and incorporate their stochasticity in these hybrid systems, moving towards a more realistic approach. This system is simulated under uncertainty and has a total capacity of 31.5 MW and aims to cover the water and energy needs of Karystos, combining 9 wind turbines of 3.5 MW each, a desalination plant of 9,600 m³/day, a desalinated water tank with a capacity of 100,000 m³, a 9 MW pumping station, and a seawater pumped storage hydropower system with a 1.7 hm³ storage tank. Some promising results of this system under study are 99 % reliability for drinking water needs and 63 % and 85 % for irrigation and energy needs respectively, with the wind park contributing 54.4 % and the hydropower system 31.3 %.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"71 ","pages":"Article 104002"},"PeriodicalIF":7.1,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142358896","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":"A self-powered and self-sensing hybrid energy harvester for freight trains","authors":"Lei Zeng ,&nbsp;Jie Zhao ,&nbsp;Hongjie Tang ,&nbsp;Zutao Zhang ,&nbsp;Xiaoping Wu ,&nbsp;Dabing Luo ,&nbsp;Yingjie Li ,&nbsp;Weizhen Liu ,&nbsp;Daning Hao ,&nbsp;Zheng Fang","doi":"10.1016/j.seta.2024.104004","DOIUrl":"10.1016/j.seta.2024.104004","url":null,"abstract":"<div><div>Freight trains, being crucial for economic development, often face challenges due to the lack of electrical infrastructure. In this study, a self-powered and self-sensing hybrid energy harvester system (SS-HEH) is proposed, it consists of an electromagnetic generator (EMG), a piezoelectric energy harvester (PEH), and an energy input module. The proposed EMG utilizes a rolling magnet to intersect the square coil, thereby better adapting to the operational conditions of freight trains and producing higher electrical energy output. Additionally, the PEH converts bogie vibration signals into electrical signals to detect bogie operations. The EMG acts on the PEH, inducing bending and generating electrical signals. Conversely, the PEH acts on the EMG to maintain it horizontally, enhancing its ability to absorb the vibration energy of the bogie and forming a bistable system. Furthermore, at a speed of 40 km/h, the EMG voltage with PEH increased by 43.75 % compared to the scenario without PEH. The electrical performance of the SS-HEH was assessed through shake table experiments, yielding an RMS voltage of 11.5 V and output power of 74.1 mW. In addition, combined with deep learning, SS-HEH has an accuracy of 97.41 % in detecting the operating status of bogie.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"71 ","pages":"Article 104004"},"PeriodicalIF":7.1,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142326507","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":"Advancing sustainable energy systems: A decade of SETA research contribution to sustainable development goals","authors":"Raghu Raman ,&nbsp;Debidutta Pattnaik ,&nbsp;Chandan Kumar ,&nbsp;Prema Nedungadi","doi":"10.1016/j.seta.2024.103978","DOIUrl":"10.1016/j.seta.2024.103978","url":null,"abstract":"<div><div><em>Sustainable Energy Technologies and Assessments</em> (SETA) publishes high-quality research on sustainable energy technologies and is indexed in all leading search engines. The journal is highly influential among its peers, with an impact factor of 8.0 and a CiteScore of 8.4. It appears among the top 50 in Scopus’s energy engineering and power technology category and features among the top 20 in Google Scholar’s notable sustainable energy publications list. The SETA’s multidisciplinary approach fosters collaboration and innovation in addressing sustainable energy challenges. Our comprehensive study of the journal examines its contribution to the Sustainable Development Goals (SDGs), particularly SDG 7 (Affordable and Clean Energy) and SDG 13 (Climate Action). Employing a novel methodological approach, we used a cocitation network to identify key SDG-focused research clusters within SETA. This was complemented by keyword co-occurrence and BERTopic modeling to reveal distinct thematic clusters and latent topics, marking first in the journal’s analysis. This research underscores SETA’s critical role in addressing global energy challenges and climate change through innovations in power generation, advanced storage technologies, and photovoltaic modeling strategies. These contributions significantly increase the efficiency and reliability of renewable energy systems and facilitate their integration into existing power grids. Furthermore, our analysis delves into advancements in biodiesel, hydrogen production, and solar thermal technologies, emphasizing the importance of clean energy in reducing environmental impacts. Wind energy and forecasting technologies also receive attention, highlighting the importance of technological precision in optimizing the role of wind power in the energy mix. This study also proposes future directions for research, including international cooperation and climate finance, to foster a more sustainable and equitable global energy landscape.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"71 ","pages":"Article 103978"},"PeriodicalIF":7.1,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142326506","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":"New energy products going global: The impact of digital transformation amid trade frictions","authors":"Boqiang Lin,&nbsp;Qianxiang Zhang","doi":"10.1016/j.seta.2024.104009","DOIUrl":"10.1016/j.seta.2024.104009","url":null,"abstract":"<div><div>New energy industry is the key field in which China has suffered from trade frictions. It remains to be explored whether digital transformation can enhance export resilience and alleviate the negative shock of trade frictions. Based on the export data of new energy products, this paper uses a panel two-way fixed effects model to explores whether digital transformation can alleviate the negative shock of trade frictions on the exports of new energy products. We find that (1) trade frictions lead to an average decrease of 11.45% in the export value of new energy enterprises and an average increase of 0.84% in the probability of exiting the export market. (2) Digital transformation can buffer the negative shock of trade frictions. For enterprises undergoing digital transformation, the negative shock of trade frictions on exports are relatively limited. (3) Mechanism test indicates that digital transformation accelerates the export products conversion and export markets transfer, thereby alleviating the negative shock of trade frictions. From the digital transformation perspective, this paper provides targeted policy implications for enhancing the export resilience of new energy enterprises and forming a sustained buffering mechanism to alleviate trade friction shocks.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"71 ","pages":"Article 104009"},"PeriodicalIF":7.1,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142322674","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":"Enhancing clean energy access in decentralized communities through novel design of solar thermal collector: Experimental validation through intermediate temperature cooking","authors":"Atul A. Sagade ,&nbsp;Eduardo Gálvez ,&nbsp;Abhishek Saxena ,&nbsp;Oscar Núñez Martínez ,&nbsp;Basim Belgasim","doi":"10.1016/j.seta.2024.103988","DOIUrl":"10.1016/j.seta.2024.103988","url":null,"abstract":"<div><div>The present work reveals a solar thermal collector’s (STC) novel design and its use for intermediate-temperature solar cooking. The main aim of the work is to demonstrate the usefulness of the proposed collector in attaining intermediate temperatures for decentralized energy applications, providing multiple sustainable energy solutions. The opto-thermal performance of the STC for cooking is evaluated using thermal performance parameter (TPP) based testing and rating. The impact of design-induced change on the performance is assessed by testing two configurations of STC for cooking. The effective concentration ratio (<em>C_eff</em>) is estimated using the thermal method. The levelized cost of solar-cooked meals (LCSCM) demonstrates the techno-economic feasibility of the proposed collector for cooking.</div><div>The results showed that the value TPP, cooker opto-thermal ratio (<em>COR</em>) for the first and second configurations are 0.116 and 0.108 (m²·°C)/W, respectively. Also, the value of <em>C_eff</em> is 1.074. The LCSCM value for the best configuration is 0.0323 USD/<em>Ml</em>.</div><div>Therefore, the present work provides valuable insights into developing and testing an efficient design of STC for multiple applications and provides recommendations for its future use for several other applications, such as drying, air and water heating, and a few more.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"71 ","pages":"Article 103988"},"PeriodicalIF":7.1,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142322675","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":"Modeling concentrating solar power plants in power system optimal planning and operation: A comprehensive review","authors":"Yang Wang ,&nbsp;Shuyu Luo ,&nbsp;Lingxiang Yao ,&nbsp;Ershun Du ,&nbsp;Zhiwen Guan ,&nbsp;Xianyong Xiao","doi":"10.1016/j.seta.2024.103992","DOIUrl":"10.1016/j.seta.2024.103992","url":null,"abstract":"<div><div>The increasing integration of intermittent renewable energy sources has significantly intensified the demand for flexible resources. In this context, concentrating solar power (CSP) stands poised to play a critical role due to its controllable and dispatchable capabilities. However, the dearth of guidelines for modeling CSP in power system optimal planning and operation hinders accurate characterization of CSP’s operational properties. This paper proposes a novel modeling framework to guide the representation of CSP in different planning and operation scenarios. Firstly, multi-type CSP models are summarized and compared thoroughly in terms of application scenarios and levels of detail. Subsequently, the state-of-the-art development of optimal planning and operation for CSP in high renewable energy penetrated power systems are reviewed from three topics: topological structure and optimal sizing, system expansion planning, and optimal operation scheduling. Next, the CSP modeling approach applicable to the specific research problem under each topic is clarified. It is indicated that energy flow models are the predominant modeling approach for CSP. Finally, recommendations for future research are proposed to pave the way for further advancement in CSP modeling and optimization.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"71 ","pages":"Article 103992"},"PeriodicalIF":7.1,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142320236","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":"Sustainable seawater desalination through solar and wind energy integration with automated control: Experimental investigation","authors":"A.A. Hussien ,&nbsp;Ahmed A. Salem ,&nbsp;Swellam W. Sharshir ,&nbsp;Tamer Nabil","doi":"10.1016/j.seta.2024.103990","DOIUrl":"10.1016/j.seta.2024.103990","url":null,"abstract":"<div><div>The study investigates the efficiency of a hybrid solar still/reverse osmosis (RO) distillation system that is driven via wind turbines and photovoltaic (PV) panels. A self-automated control system was implemented to manage the system’s operations in real-time, ensuring robust performance. The PV panels are equipped with an automated cooling system. Solar stills are incorporated into the system with preheating and cover cooling mechanisms to maximize freshwater production. Furthermore, the RO unit is continuously fed by preheated water resulting from the PV and solar still cooling. This innovative system design allows for the utilization of both solar and wind energy, with wind turbines providing continuous power generation to ensure uninterrupted operation of the desalination process. Results show that implementing a cooling system for PV panels led to a significant improvement in efficiency. Furthermore, solar stills with preheating and cover cooling demonstrated superior freshwater production rates, achieving a remarkable 21.89 % increase over conventional systems, with daily water production increasing from 3.06 to 3.73 L/m². Similarly, RO-PV sees a notable increase in daily yield from 73.62 to 86.98 L/m², accompanied by a reduction in specific energy consumption from 2.35 to 1.99 kWh/m³. The RO-wind system exhibits enhanced daily yield, rising from 198.04 to 210.92 L/m² and decreasing specific energy consumption from 2.62 to 2.46 kWh/m³.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"71 ","pages":"Article 103990"},"PeriodicalIF":7.1,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142312344","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":"Predictive and correlational analysis of heating energy consumption in four residential apartments with sensitivity analysis using long Short-Term memory and Generalized regression neural network models","authors":"Moon Keun Kim ,&nbsp;Bart Cremers ,&nbsp;Nuodi Fu ,&nbsp;Jiying Liu","doi":"10.1016/j.seta.2024.103976","DOIUrl":"10.1016/j.seta.2024.103976","url":null,"abstract":"<div><div>The aim of this study is to explore several approaches to analyze how local weather conditions, indoor CO₂ levels, and façade opening ratios affect the heating energy usage of a residential structure. To achieve this, the study uses two techniques: long short-term memory and Generalized Regression Neural Network methods. By applying these methods, the study suggests methods to predict the impact factors and evaluate the strength of their correlation with the actual heating energy consumed by the building. The study used both LSTM and GRNN algorithms to forecast the performance of heating energy usages in residential buildings using mechanical and natural ventilation systems. The results described that both models had low average error rates, ranging from 3.36% to 6.12%. However, the LSTM model had a better correlation with measured data. The examination of impact factor indicated that outside thermal and humidity factor had the most primarily influences for heating energy usage, while other environmental factors also significantly affected the residential building’s performance. Solar irradiance, wind velocity, and façade opening ratio had limitations in influencing heating performance because occupants may find it challenging to adjust ventilation rates in extreme weather conditions. Additionally, these factors could not affect heating energy consumption independently.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"71 ","pages":"Article 103976"},"PeriodicalIF":7.1,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213138824003722/pdfft?md5=1c2e8c89f581f09d52468db8396f8e5b&pid=1-s2.0-S2213138824003722-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142312295","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}