Sustainable Energy Technologies and Assessments最新文献_第3页

Evaluation of aging characteristics in wind turbine performance based on yaw power loss 基于偏航功率损失的风力涡轮机性能老化特征评估

IF 7.1 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2024-11-20 DOI: 10.1016/j.seta.2024.104094

Fan Zhang , Shan Gao , Guoqiang Gao , Juchuan Dai , Shuyi Yang , Wen Wang

{"title":"Evaluation of aging characteristics in wind turbine performance based on yaw power loss","authors":"Fan Zhang , Shan Gao , Guoqiang Gao , Juchuan Dai , Shuyi Yang , Wen Wang","doi":"10.1016/j.seta.2024.104094","DOIUrl":"10.1016/j.seta.2024.104094","url":null,"abstract":"<div><div>The yaw dynamics of wind turbines are crucial for ensuring their operational efficiency and maximizing wind energy capture. However, excessive yaw movements may precipitate premature aging of these turbines. Investigating how yaw behavior influences turbine performance can aid in refining yaw control strategies, thereby mitigating the rate of performance degradation. This paper analyzes five years of SCADA data from a wind farm, employs the DBSCAN algorithm to process anomalous data, and explores the correlation between state parameters and power output under varying operational conditions. The study leverages kernel density estimation and least squares approximation for univariate data processing and curve fitting. Furthermore, it introduces the concept of a yaw loss rate to assess power efficiency during yaw maneuvers quantitatively, calculates yaw-induced power losses under diverse conditions, and proposes a novel method to evaluate turbine performance by considering historical trends in power capture. The findings confirm that the proposed evaluation methodology is practical and effective, substantiated by analyzing five consecutive years of SCADA data from four turbines located in a mountainous wind farm in southern China.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"72 ","pages":"Article 104094"},"PeriodicalIF":7.1,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706499","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}

引用次数: 0

Transitioning from net-metering to net-billing: A model-based analysis for Poland 从净计量过渡到净计费：基于模型的波兰分析

IF 7.1 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2024-11-20 DOI: 10.1016/j.seta.2024.104073

Pablo Benalcazar, Maciej Kalka, Jacek Kamiński

{"title":"Transitioning from net-metering to net-billing: A model-based analysis for Poland","authors":"Pablo Benalcazar, Maciej Kalka, Jacek Kamiński","doi":"10.1016/j.seta.2024.104073","DOIUrl":"10.1016/j.seta.2024.104073","url":null,"abstract":"<div><div>Small-scale solar power capacity will be critical for limiting global fossil fuel consumption and meeting emissions reduction targets in the coming years. Several countries have launched policy measures to encourage residential and industrial consumers to invest in solar photovoltaic (PV) panels. In Poland, the ”My Electricity” grant support program and a consumer-favorable net-metering system for micro-installations have enabled the PV market to grow rapidly since 2016. Due to growing concerns about the stability of the transmission network and power distribution systems, a new market-based compensation mechanism for new prosumers entered into force in 2022. This study assesses the economic impacts that arise from the transition from net metering to net billing, evaluates the effect of the newly established net-billing scheme on the self-consumption of residential PV-only installations, and compares the impact of both compensation mechanisms on the profitability of residential PV-only and PV-battery systems. It develops a comprehensive framework that combines an optimization-based energy management system and two stochastic approaches for modeling electricity prices and demand. This study contributes to the literature by providing a critical analysis of the financial impact of net metering and net billing on the acceptance and uptake of PV-only and PV-battery systems.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"72 ","pages":"Article 104073"},"PeriodicalIF":7.1,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706498","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}

引用次数: 0

A comparative analysis of the potential of carbon emission reductions from shared micro-mobility 共享微型交通的碳减排潜力比较分析

IF 7.1 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2024-11-20 DOI: 10.1016/j.seta.2024.104088

Yongping Zhang , Wenyan Fu , Hao Chao , Zhifu Mi , Hui Kong

{"title":"A comparative analysis of the potential of carbon emission reductions from shared micro-mobility","authors":"Yongping Zhang , Wenyan Fu , Hao Chao , Zhifu Mi , Hui Kong","doi":"10.1016/j.seta.2024.104088","DOIUrl":"10.1016/j.seta.2024.104088","url":null,"abstract":"<div><div>Shared micro-mobility systems (SMSs) have recently experienced rapid growth, providing new green mobility options to reduce energy use. To better understand SMS’s environmental impact, this paper comparatively examines the potential of carbon emission reductions from dockless shared bikes and e-bikes in three Chinese cities at different economic development stages (i.e., Binjiang, Wucheng and Xiangshan) using massive user-generated trips. Results show that shared bikes and e-bikes in the three cities reduced 41.51 and 31.84 tonnes of CO<sub>2</sub> emissions over a week, respectively. The trip-level environmental benefit of shared e-bikes is 155.11 g of CO<sub>2</sub>, higher than that of shared bikes (132.03 g). Most of the reduced carbon emissions are from substituting driving trips, but shared e-bikes even generate extra carbon emissions by substituting public transit and walking. Patterns of carbon emission reductions show spatiotemporal heterogeneity. Spatially, reduced carbon emissions are concentrated in central areas of Wucheng/Xiangshan and more dispersedly distributed in Binjiang, which is a more economically vibrant city. From a temporal perspective, SMS’s carbon reduction patterns are similar to typical temporal usage patterns. The Dining and Shopping trips contribute the most to SMS’s carbon reductions in all cities. Binjiang has more carbon emissions reduced from the Transfer and Working trips, and shared bike trips with the Home and Schooling purposes reduced relatively more carbon emissions in Wucheng. Our analysis helps us better understand the environmental impact of SMSs across various urban contexts and inform relevant transport planning to achieve carbon neutrality in cities.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"72 ","pages":"Article 104088"},"PeriodicalIF":7.1,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706500","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}

引用次数: 0

A review on unleashing the potential solution of thermal comfort: Exploring the cutting-edge progress of advanced engineering application of phase change materials integrated textiles 关于释放热舒适潜在解决方案的综述：探索相变材料集成纺织品先进工程应用的前沿进展

IF 7.1 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2024-11-19 DOI: 10.1016/j.seta.2024.104089

Gunjan Varshney, Pooja Singh, Sarla Yadav, Raminder Kaur

{"title":"A review on unleashing the potential solution of thermal comfort: Exploring the cutting-edge progress of advanced engineering application of phase change materials integrated textiles","authors":"Gunjan Varshney, Pooja Singh, Sarla Yadav, Raminder Kaur","doi":"10.1016/j.seta.2024.104089","DOIUrl":"10.1016/j.seta.2024.104089","url":null,"abstract":"<div><div>Conventional fabrics often fail to regulate temperature effectively, leading to discomfort for the wearer. Under fluctuating environmental conditions, the discomfort in textiles may pose a challenge, specially, in outdoor apparel; sportswear and healthcare. Phase Change Materials (PCMs), have emerged as a game-changer in textile engineering due to the pursuit of novel solutions in the realm of thermal comfort. Owing to their abilities of absorbing, storing, and releasing heat during phase transitions, PCMs provide a more controlled thermal environment. PCMs, considered as excellent contenders for thermal energy storage as they can store and release latent heat energy over a narrow temperature range and are available at various phase change transition temperatures. This review explores the integration of PCMs into textiles, known as PCMs incorporated textiles (PCMTs), which are designed to enhance thermal regulation in fabrics. The study reports a detailed classification of PCMs and textiles structures, along with an evaluation of incorporation techniques such as lamination, coating, and spinning. Analytical techniques like Differential Scanning Calorimetry (DSC), Thermogravimetric Analysis (TGA), and mechanical property assessments are thoroughly reviewed to measure the effectiveness of PCMT. Additionally, a detailed analytical study has been conducted on the categorisation of PCMT according to PCM type, textile structure, and their potential to transform thermal comfort solutions across a range of applications. Furthermore, critical research gaps and future directions for optimising PCMT for enhanced durability, breathability, and thermal regulation across a wide range of applications have also been discussed.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"72 ","pages":"Article 104089"},"PeriodicalIF":7.1,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706601","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}

引用次数: 0

Assessing the provincial renewable energy generation efficiency in China considering the energy justice and sustainable development 从能源公正和可持续发展角度评估中国省级可再生能源发电效率

IF 7.1 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2024-11-19 DOI: 10.1016/j.seta.2024.104086

Jie Xu , Tao Lv , Xiaoran Hou , Xu Deng , Xiangyun Meng , Na Li , Feng Liu

{"title":"Assessing the provincial renewable energy generation efficiency in China considering the energy justice and sustainable development","authors":"Jie Xu , Tao Lv , Xiaoran Hou , Xu Deng , Xiangyun Meng , Na Li , Feng Liu","doi":"10.1016/j.seta.2024.104086","DOIUrl":"10.1016/j.seta.2024.104086","url":null,"abstract":"<div><div>The rapid increase in renewable energy (RE) installed capacity and the resulting issues of energy justice and RE generation efficiency (REGE) require urgent attention. Therefore, this study calculated the China’s RE justice indexes (REJIs) and the provincial RE justice contribution degree from 2012 to 2021 via the Gini coefficient and modified coupling cooperation degree model. Hydropower, wind, and solar power generation efficiencies (HPGE, WPGE, and SPGE) were evaluated using the super-efficiency slack-based measure model. The results show that the REJIs of wind and solar power demonstrated an increasing trend, whereas that of hydropower slowly declined in the following order: wind power > solar power > hydropower. The HPGE fluctuated without remarkable change. The WPGE and SPGE gradually increased, but the SPGE increased rapidly. Furthermore, the Global Malmquist-Luenberger productivity index results revealed that the HPGE and SPGE were driven by efficiency change (catch-up effect), whereas the WPGE was driven by technical change (innovation effect). The REGE exhibited considerable regional heterogeneity. It was the highest in Western China, followed by that in Central China, and the lowest in Eastern China. Our findings can guide policymakers in improving policies to enhance REGE and promote just and equitable energy transition development.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"72 ","pages":"Article 104086"},"PeriodicalIF":7.1,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706603","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}

引用次数: 0

An optimal energy consumption calculation method of hybrid electric vehicles with frequency distribution characteristics of driving conditions 具有行驶条件频率分布特征的混合动力电动汽车能耗优化计算方法

IF 7.1 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2024-11-19 DOI: 10.1016/j.seta.2024.104083

Xiaohua Zeng , Jingjing Li , Chaosheng Duan , Yufeng Huang , Dafeng Song

{"title":"An optimal energy consumption calculation method of hybrid electric vehicles with frequency distribution characteristics of driving conditions","authors":"Xiaohua Zeng , Jingjing Li , Chaosheng Duan , Yufeng Huang , Dafeng Song","doi":"10.1016/j.seta.2024.104083","DOIUrl":"10.1016/j.seta.2024.104083","url":null,"abstract":"<div><div>For a series of problems in the design and optimisation of series hybrid electric vehicles caused by the driving condition input, such as a variety of user conditions, which may hinder the energy-saving ability of such vehicles. Condition construction will inevitably lead to information loss, and traditional design methods require high computational power and encounter a time disaster during the real-world condition data explosion. This study proposes a condition representation method with driving condition frequency distribution characteristics (DCFDCs) and an optimal energy consumption calculation method, that is, instantaneous battery energy balance solution and global battery energy balance correction (IBGB–GBEB) with DCFDCs. The energy consumption calculation results show that the proposed optimal energy consumption method can guarantee the accuracy of the energy consumption calculation and reduce the calculation time cost. The difference in fuel consumption between the optimal energy consumption method and the dynamic planning (DP) algorithm is only 2.50%, but the difference in the calculation time between the two methods is 87.00%. Furthermore, the practical example of hybrid power system (HPS) design parameter optimisation shows that the energy consumption calculation results obtained by the TDCR–DP and DCFDCs–MIGA methods are consistent, and the relative error is only 1.81%. However, the calculation time of the TDCR–DP method is 472 h, whereas that of the DCFDC–MIGA method is only 2.17 h, which is a calculation time reduction of more than 99.54%. The results highlight the effectiveness and time advantage of the optimal energy consumption calculation method with DCFDCs. This study can provide theoretical guidance and technical support for solving system optimisation problems caused by the explosion of driving condition data.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"72 ","pages":"Article 104083"},"PeriodicalIF":7.1,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706497","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}

引用次数: 0

How are energy R&D investments beneficial in ensuring energy transition: Evidence from leading R&D investing countries by novel super learner algorithm 能源研发投资如何有利于确保能源转型：通过新型超级学习者算法从研发投资领先国家获得的证据

IF 7.1 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2024-11-19 DOI: 10.1016/j.seta.2024.104084

Ugur Korkut Pata , Mustafa Tevfik Kartal , Serpil Kılıç Depren

{"title":"How are energy R&D investments beneficial in ensuring energy transition: Evidence from leading R&D investing countries by novel super learner algorithm","authors":"Ugur Korkut Pata , Mustafa Tevfik Kartal , Serpil Kılıç Depren","doi":"10.1016/j.seta.2024.104084","DOIUrl":"10.1016/j.seta.2024.104084","url":null,"abstract":"<div><div>The study examines how critical factors affect the energy transition in the countries that invest the most in energy related R&D (namely, the USA, France, Japan, & Germany). The study empirically analyzes the impact of energy-related R&D investments, income (GDP), primary energy consumption (PEC), and human capital (HUC) by applying a novel super learner (SL) algorithm for the period from 2000/Q1 to 2022/Q4. The outcomes demonstrate that (i) the SL algorithm performs better than all others; (ii) nuclear and renewable energy R&D investments support the energy transition in the USA, while energy efficiency R&D investments are helpful for France and Germany, and no R&D types are beneficial for Japan; (iii) GDP and HUC support the energy transition in almost all countries; (iv) PEC supports the energy transition in France and Japan. Hence, on energy transition, the study proves the dominant effect of renewable energy R&D in the USA, HUC in France, energy efficiency R&D in Japan, and, energy efficiency and nuclear energy R&D in Germany, while other factors have less influence.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"72 ","pages":"Article 104084"},"PeriodicalIF":7.1,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706604","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}

引用次数: 0

Two-stage dual-attention spatiotemporal joint network model for multi-energy load prediction of integrated energy system 用于综合能源系统多能源负荷预测的两阶段双关注时空联合网络模型

IF 7.1 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2024-11-18 DOI: 10.1016/j.seta.2024.104085

Xinli Li , Kui Zhang , Zhenglong Luo , Guotian Yang

{"title":"Two-stage dual-attention spatiotemporal joint network model for multi-energy load prediction of integrated energy system","authors":"Xinli Li , Kui Zhang , Zhenglong Luo , Guotian Yang","doi":"10.1016/j.seta.2024.104085","DOIUrl":"10.1016/j.seta.2024.104085","url":null,"abstract":"<div><div>Accurate prediction of multi-energy load is essential for the scheduling, safe operation, and stability of integrated energy systems. This paper proposes a novel two-stage multi-energy load prediction model with dual-attention spatiotemporal joint network for integrated energy system. In the first stage of multi-task prediction, the integrated self-attention long short-term memory (LSTM) network is built to forecast the multi-energy load initially, and an error correction model on basis of BP network is constructed to reduce the impact of error accumulation on the second stage prediction. In the second stage of single-task prediction, a parallel spatiotemporal joint network model is proposed to extract the static spatial feature and dynamic temporal feature between multi-energy loads and between loads and meteorological factors, which fully captures the complex interactions and dependencies between the multi-energy loads. The prediction model integrates self-attention and graph attention mechanisms in both stages to improve the feature extraction capabilities. The simulation results demonstrate that, compared to bidirectional LSTM, LSTM-gated recurrent unit, time convolutional networks-LSTM and variational mode decomposition-convolutional neural network-LSTM models, the proposed multi-energy load prediction model reduces the average absolute percentage error by 66.25%, 16.83%, 53.58% and 5.29%, respectively.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"72 ","pages":"Article 104085"},"PeriodicalIF":7.1,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142706602","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}

引用次数: 0

Designing an integrative strategy to introduce electric vehicles in the tourism sector in an outermost region of the European Union 制定综合战略，在欧盟最外围地区的旅游部门引入电动汽车

IF 7.1 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2024-11-17 DOI: 10.1016/j.seta.2024.104071

Iván Medina-Jiménez , Francisco J. Ramos-Real , Jose E. León Vielma , Francisco Calero-García

{"title":"Designing an integrative strategy to introduce electric vehicles in the tourism sector in an outermost region of the European Union","authors":"Iván Medina-Jiménez , Francisco J. Ramos-Real , Jose E. León Vielma , Francisco Calero-García","doi":"10.1016/j.seta.2024.104071","DOIUrl":"10.1016/j.seta.2024.104071","url":null,"abstract":"<div><div>The electrification of the rental vehicle fleet in the Canary Islands‘ tourism sector would reduce land transportation emissions by 6%. The success of such a measure would serve as a test laboratory for other outermost regions of the European Union (EU), where dependence on fossil fuels reaches 80%. This paper identifies the main questions to consider in designing an integrative strategy for decarbonizing the Canary Islands tourism sector through electric vehicles (EVs) and provides practical insights for energy policy. Q methodology has been used to extract the opinions of 19 stakeholders representing the diversity of visions regarding 25 statements classified into three pillars: the regulatory framework, stakeholder engagements, and the assessment of implementation mechanisms. The results allow us to identify three well-differentiated perspectives explaining 60% of the variance and providing valuable insights for energy policy. The findings highlight the need for increased confidence in clarifying how the energy transition strategy is defined and fulfilling the proposed objectives. In addition, adequate monitoring and control mechanisms and a reduction in bureaucratic obstacles are necessary. Finally, stakeholders recognize the importance of electrifying the rent-a-car fleet so that hotels can offer charging points in their facilities using green electricity.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"72 ","pages":"Article 104071"},"PeriodicalIF":7.1,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142653562","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}

引用次数: 0

Advances in smart cities with system integration and energy digitalization technologies: A state-of-the-art review 利用系统集成和能源数字化技术推进智慧城市：最新进展综述

IF 7.1 2区工程技术

Sustainable Energy Technologies and Assessments Pub Date : 2024-11-16 DOI: 10.1016/j.seta.2024.104012

Jiashu Kong , Yitong Dong , Zhechen Zhang , Pow-Seng Yap , Yuekuan Zhou

{"title":"Advances in smart cities with system integration and energy digitalization technologies: A state-of-the-art review","authors":"Jiashu Kong , Yitong Dong , Zhechen Zhang , Pow-Seng Yap , Yuekuan Zhou","doi":"10.1016/j.seta.2024.104012","DOIUrl":"10.1016/j.seta.2024.104012","url":null,"abstract":"<div><div>Smart cities have become focal points in promoting sustainable urban development, while the integration of technological advancements with urban energy systems remains underexplored. This paper aims to bridge this gap by providing a systematic review of the latest advancements in smart cities, focusing on system integration and energy digitalization to enhance energy efficiency and sustainability. It reviews advancements in system integration and energy digitalization in smart cities, highlighting their impact on energy efficiency, carbon reduction, and intelligent energy systems. It explores passive building technologies, renewable energy integration, and energy storage, as well as the role of digital technologies, such as the Internet of Things (IoT) and artificial intelligence (AI), in optimizing building energy management and enabling sustainable communities. By emphasizing the significance of integrated energy management systems and future trends toward multisystem integration and big data applications, this paper provides insights into achieving high-efficiency, low-carbon urban environments. This discussion highlights the critical role of technological innovations and digitalization in driving the transition to sustainable and intelligent urban energy systems, thus contributing to smart city development.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"72 ","pages":"Article 104012"},"PeriodicalIF":7.1,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142653555","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}

引用次数: 0