The research and applications of fiber materials are directly related to the daily life of social populace and the development of relevant revolutionary manufacturing industry.However,the conventional fibers and fiber...The research and applications of fiber materials are directly related to the daily life of social populace and the development of relevant revolutionary manufacturing industry.However,the conventional fibers and fiber products can no longer meet the requirements of automation and intellectualization in modern society,as well as people’s consumption needs in pursuit of smart,avant-grade,fashion and distinctiveness.The advanced fiber-shaped electronics with most desired designability and integration features have been explored and developed intensively during the last few years.The advanced fiber-based products such as wearable electronics and smart clothing can be employed as the second skin to enhance information exchange between humans and the external environment.In this review,the significant progress on flexible fiber-shaped multifunctional devices,including fiber-based energy harvesting devices,energy storage devices,chromatic devices,and actuators are discussed.Particularly,the fabrication procedures and application characteristics of multifunctional fiber devices such as fiber-shaped solar cells,lithium-ion batteries,actuators and electrochromic fibers are introduced in detail.Finally,we provide our perspectives on the challenges and future development of functional fiber-shaped devices.展开更多
The fluctuations of renewable energy and various energy demands are crucial issues for the optimal design and operation of combined cooling,heating and power(CCHP)system.In this paper,a novel CCHP system is simulated ...The fluctuations of renewable energy and various energy demands are crucial issues for the optimal design and operation of combined cooling,heating and power(CCHP)system.In this paper,a novel CCHP system is simulated with advanced adiabatic compressed air energy storage(AA-CAES)technology as a join to connect with wind energy generation and an internal-combustion engine(ICE).The capital cost of utilities,energy cost,environmental protection cost and primary energy savings ratio(P E S R)are used as system performance indicators.To fulfill the cooling,heating and power requirements of a district and consider the thermal-electric coupling of ICE and AA-CAES in CCHP system,three operation strategies are established to schedule the dispatch of AA-CAES and ICE:ICE priority operation strategy,CAES priority operation strategy and simultaneous operation strategy.Each strategy leads the operation load of AA-CAES or ICE to improve the energy supply efficiency of the system.Moreover,to minimize comprehensive costs and maximize the P E S R,a novel optimization algorithm based on intelligent updating multi-objective differential evolution(MODE)is proposed to solve the optimization model.Considering the multi-interface characteristic and active management ability of the ICE and AA-CAES,the economic benefits and energy efficiency of the three operation strategies are compared by the simulation with the same system configuration.On a typical summer day,the simultaneous strategy is the best solution as the total cost is 3643 USD and the P E S R is 66.1%,while on a typical winter day,the ICE priority strategy is the best solution as the total cost is 4529 USD and the P E S R is 64.4%.The proposed methodology provides the CCHP based AA-CAES system with a better optimized operation.展开更多
Advanced adiabatic compressed air energy storage(AA-CAES)has the advantages of large capacity,long service time,combined heat and power generation(CHP),and does not consume fossil fuels,making it a promising storage t...Advanced adiabatic compressed air energy storage(AA-CAES)has the advantages of large capacity,long service time,combined heat and power generation(CHP),and does not consume fossil fuels,making it a promising storage technology in a low-carbon society.An appropriate self-scheduling model can guarantee AA-CAES’s profit and attract investments.However,very few studies refer to the cogeneration ability of AA-CAES,which enables the possibility to trade in the electricity and heat markets at the same time.In this paper,we propose a multimarket self-scheduling model to make full use of heat produced in compressors.The volatile market price is modeled by a set of inexact distributions based on historical data through-divergence.Then,the self-scheduling model is cast as a robust risk constrained program by introducing Stackelberg game theory,and equivalently reformulated as a mixed-integer linear program(MILP).The numerical simulation results validate the proposed method and demonstrate that participating in multienergy markets increases overall profits.The impact of uncertainty parameters is also discussed in the sensibility analysis.展开更多
Facility management and maintenance of the Thermal-Energy-Storage Air-Conditioning(TES-AC)system is a tedious task at a large scale mainly due to the charging load that can increase energy consumption if needed to be ...Facility management and maintenance of the Thermal-Energy-Storage Air-Conditioning(TES-AC)system is a tedious task at a large scale mainly due to the charging load that can increase energy consumption if needed to be charged at peak hours.Besides,maintenance of TES-AC at a large scale gets complex as it contains many sensor data.By utilizing deep learning techniques on the sensor data,charging load prediction can be made possible,so facility managers can prepare in advance.However,a deep learning-based application will be unusable if it is not deployed in a user-friendly manner where facility managers can benefit from this application.Hence,this research focuses on gathering design guidelines for a deep learning-based application and further validates the design considerations with a developed application for efficient human-computer interaction through qualitative analysis.The approach taken to gather design guidelines demonstrated a positive correlation between expert-suggested features and the user-friendly aspect of the application as 67.08%of participants found the features suggested by experts to be most satisfactory.Furthermore,it evaluates user satisfaction with the advanced developed application for TES-AC according to the gathered design guidelines.展开更多
作为一种清洁物理储能技术，先进绝热压缩空气储能（advanced adiabatic compressed air energy storage system，AA-CAES）具有优良的辅助服务特性、多能联供联储能力，可为清洁能源的高效消纳注入新活力。该文直面AA-CAES技术在智能...作为一种清洁物理储能技术，先进绝热压缩空气储能（advanced adiabatic compressed air energy storage system，AA-CAES）具有优良的辅助服务特性、多能联供联储能力，可为清洁能源的高效消纳注入新活力。该文直面AA-CAES技术在智能电网和综合能源系统的应用，在分析AA-CAES电站优良的动态特性的基础上，梳理AA-CAES电站建模、能效提升、运行规划及市场运营等方面的研究现状，指出当前研究瓶颈，明确后期应用研究的重点。希望能为智能电网和综合能源系统的AA-CAES技术相关研究提供参考，指导其应用推广。展开更多
为更好地发挥先进绝热压缩空气储能(advanced adiabatic compressed air energy storage,AA-CAES)装置与微型综合能源系统(micro-integrated energy system,MIES)多能协调互补等优势,优化系统运行经济性及灵活性,提出一种考虑AA-CAES装...为更好地发挥先进绝热压缩空气储能(advanced adiabatic compressed air energy storage,AA-CAES)装置与微型综合能源系统(micro-integrated energy system,MIES)多能协调互补等优势,优化系统运行经济性及灵活性,提出一种考虑AA-CAES装置参与热电联储/供的MIES优化运行策略。首先,提出了含AA-CAES的MIES系统热电联储/供的调度架构;其次,分析了AA-CAES装置储热、换热及供热等关键环节的运行特性,建立了AA-CAES进行热电联储/供及提供旋转备用的调度模型;在此基础上,综合考虑交直流配电网和区域供热系统中调度资源的运行特点,构建了计及AA-CAES装置热电联储/供特性的MIES整体调度模型;最后,采用修改IEEE 14节点配电网和母线式区域供热系统进行算例分析。仿真结果表明,所提优化运行策略可有效削减MIES运行成本,提高MIES可再生能源消纳能力,增强MIES运行灵活性。展开更多
以改变储热器中热量的分配为基础,建立了先进绝热压缩空气储能(Advanced Adiabatic Compressed Air EnergyStorage,简称AA-CAES)系统的冷热电联供模型。推导了系统的主要参数表达式,并以某建筑冷热电负荷的变化情况为例,对比了AA-CAES...以改变储热器中热量的分配为基础,建立了先进绝热压缩空气储能(Advanced Adiabatic Compressed Air EnergyStorage,简称AA-CAES)系统的冷热电联供模型。推导了系统的主要参数表达式,并以某建筑冷热电负荷的变化情况为例,对比了AA-CAES系统的供电模型与冷热电联供模型的能量输出特性。结果表明,相比供电模型:冷热电联供模型有最大发电量时,同时可最大输出0.62单位的制冷量和1.1单位的供热量(最大发电量为单位1);通过调节储热器的热量分配,可改变冷热电联供模型冷热电的输出比例,对负荷变动的应对性更好。展开更多
先进绝热压缩空气储能(Advanced adiabatic compressed air energy storage,AA-CAES)是一种清洁的大规模物理储能技术。相对于其他类型的储能技术,AA-CAES技术具有多能流联供的独特特性,这一特性使得其在微型综合能源系统中具有广阔的...先进绝热压缩空气储能(Advanced adiabatic compressed air energy storage,AA-CAES)是一种清洁的大规模物理储能技术。相对于其他类型的储能技术,AA-CAES技术具有多能流联供的独特特性,这一特性使得其在微型综合能源系统中具有广阔的应用前景。考虑AA-CAES电站的多能联供特性,研究了含AA-CAES电站的微型综合能源系统优化调度策略。介绍了含AA-CAES电站的微型综合能源系统基本构成;基于AA-CAES电站的实际热力学过程,构建AA-CAES电站的冷热电多能流联合调度约束模型;在此基础上,以最小化系统运行成本为目标,建立含AA-CAES电站的微型综合能源系统优化调度模型;最后,采用天津中新生态城的数据进行模型验证。展开更多
基金the Science and Technology Commission of Shanghai Municipality[16JC1400700]the Program of Introducing Talents of Discipline to Universities[No.111-2-04]+2 种基金the Innovative Research Team in University[IRT_16R13].C.H.thanks the Natural Science Foundation of China[No.51603037]DHU Distinguished Young Professor Program[LZB2019002]Young Elite Scientists Sponsorship Program by CAST[2017QNRC001].
文摘The research and applications of fiber materials are directly related to the daily life of social populace and the development of relevant revolutionary manufacturing industry.However,the conventional fibers and fiber products can no longer meet the requirements of automation and intellectualization in modern society,as well as people’s consumption needs in pursuit of smart,avant-grade,fashion and distinctiveness.The advanced fiber-shaped electronics with most desired designability and integration features have been explored and developed intensively during the last few years.The advanced fiber-based products such as wearable electronics and smart clothing can be employed as the second skin to enhance information exchange between humans and the external environment.In this review,the significant progress on flexible fiber-shaped multifunctional devices,including fiber-based energy harvesting devices,energy storage devices,chromatic devices,and actuators are discussed.Particularly,the fabrication procedures and application characteristics of multifunctional fiber devices such as fiber-shaped solar cells,lithium-ion batteries,actuators and electrochromic fibers are introduced in detail.Finally,we provide our perspectives on the challenges and future development of functional fiber-shaped devices.
基金The work was supported by the National Fundamental Research Program of China 973 project(2014CB249201).
文摘The fluctuations of renewable energy and various energy demands are crucial issues for the optimal design and operation of combined cooling,heating and power(CCHP)system.In this paper,a novel CCHP system is simulated with advanced adiabatic compressed air energy storage(AA-CAES)technology as a join to connect with wind energy generation and an internal-combustion engine(ICE).The capital cost of utilities,energy cost,environmental protection cost and primary energy savings ratio(P E S R)are used as system performance indicators.To fulfill the cooling,heating and power requirements of a district and consider the thermal-electric coupling of ICE and AA-CAES in CCHP system,three operation strategies are established to schedule the dispatch of AA-CAES and ICE:ICE priority operation strategy,CAES priority operation strategy and simultaneous operation strategy.Each strategy leads the operation load of AA-CAES or ICE to improve the energy supply efficiency of the system.Moreover,to minimize comprehensive costs and maximize the P E S R,a novel optimization algorithm based on intelligent updating multi-objective differential evolution(MODE)is proposed to solve the optimization model.Considering the multi-interface characteristic and active management ability of the ICE and AA-CAES,the economic benefits and energy efficiency of the three operation strategies are compared by the simulation with the same system configuration.On a typical summer day,the simultaneous strategy is the best solution as the total cost is 3643 USD and the P E S R is 66.1%,while on a typical winter day,the ICE priority strategy is the best solution as the total cost is 4529 USD and the P E S R is 64.4%.The proposed methodology provides the CCHP based AA-CAES system with a better optimized operation.
基金supported in part by National Key R&D Program of China(2020YFD1100500)National Natural Science Foundation of China(under Grant 51621065 and 51807101)in part by State Grid Anhui Electric Power Co.,Ltd.Science and Technology Project“Research on grid-connected operation and market mechanism of compressed air energy storage”under Grant 521205180021.
文摘Advanced adiabatic compressed air energy storage(AA-CAES)has the advantages of large capacity,long service time,combined heat and power generation(CHP),and does not consume fossil fuels,making it a promising storage technology in a low-carbon society.An appropriate self-scheduling model can guarantee AA-CAES’s profit and attract investments.However,very few studies refer to the cogeneration ability of AA-CAES,which enables the possibility to trade in the electricity and heat markets at the same time.In this paper,we propose a multimarket self-scheduling model to make full use of heat produced in compressors.The volatile market price is modeled by a set of inexact distributions based on historical data through-divergence.Then,the self-scheduling model is cast as a robust risk constrained program by introducing Stackelberg game theory,and equivalently reformulated as a mixed-integer linear program(MILP).The numerical simulation results validate the proposed method and demonstrate that participating in multienergy markets increases overall profits.The impact of uncertainty parameters is also discussed in the sensibility analysis.
文摘Facility management and maintenance of the Thermal-Energy-Storage Air-Conditioning(TES-AC)system is a tedious task at a large scale mainly due to the charging load that can increase energy consumption if needed to be charged at peak hours.Besides,maintenance of TES-AC at a large scale gets complex as it contains many sensor data.By utilizing deep learning techniques on the sensor data,charging load prediction can be made possible,so facility managers can prepare in advance.However,a deep learning-based application will be unusable if it is not deployed in a user-friendly manner where facility managers can benefit from this application.Hence,this research focuses on gathering design guidelines for a deep learning-based application and further validates the design considerations with a developed application for efficient human-computer interaction through qualitative analysis.The approach taken to gather design guidelines demonstrated a positive correlation between expert-suggested features and the user-friendly aspect of the application as 67.08%of participants found the features suggested by experts to be most satisfactory.Furthermore,it evaluates user satisfaction with the advanced developed application for TES-AC according to the gathered design guidelines.
文摘作为一种清洁物理储能技术，先进绝热压缩空气储能（advanced adiabatic compressed air energy storage system，AA-CAES）具有优良的辅助服务特性、多能联供联储能力，可为清洁能源的高效消纳注入新活力。该文直面AA-CAES技术在智能电网和综合能源系统的应用，在分析AA-CAES电站优良的动态特性的基础上，梳理AA-CAES电站建模、能效提升、运行规划及市场运营等方面的研究现状，指出当前研究瓶颈，明确后期应用研究的重点。希望能为智能电网和综合能源系统的AA-CAES技术相关研究提供参考，指导其应用推广。
文摘为更好地发挥先进绝热压缩空气储能(advanced adiabatic compressed air energy storage,AA-CAES)装置与微型综合能源系统(micro-integrated energy system,MIES)多能协调互补等优势,优化系统运行经济性及灵活性,提出一种考虑AA-CAES装置参与热电联储/供的MIES优化运行策略。首先,提出了含AA-CAES的MIES系统热电联储/供的调度架构;其次,分析了AA-CAES装置储热、换热及供热等关键环节的运行特性,建立了AA-CAES进行热电联储/供及提供旋转备用的调度模型;在此基础上,综合考虑交直流配电网和区域供热系统中调度资源的运行特点,构建了计及AA-CAES装置热电联储/供特性的MIES整体调度模型;最后,采用修改IEEE 14节点配电网和母线式区域供热系统进行算例分析。仿真结果表明,所提优化运行策略可有效削减MIES运行成本,提高MIES可再生能源消纳能力,增强MIES运行灵活性。
文摘以改变储热器中热量的分配为基础,建立了先进绝热压缩空气储能(Advanced Adiabatic Compressed Air EnergyStorage,简称AA-CAES)系统的冷热电联供模型。推导了系统的主要参数表达式,并以某建筑冷热电负荷的变化情况为例,对比了AA-CAES系统的供电模型与冷热电联供模型的能量输出特性。结果表明,相比供电模型:冷热电联供模型有最大发电量时,同时可最大输出0.62单位的制冷量和1.1单位的供热量(最大发电量为单位1);通过调节储热器的热量分配,可改变冷热电联供模型冷热电的输出比例,对负荷变动的应对性更好。
文摘先进绝热压缩空气储能(Advanced adiabatic compressed air energy storage,AA-CAES)是一种清洁的大规模物理储能技术。相对于其他类型的储能技术,AA-CAES技术具有多能流联供的独特特性,这一特性使得其在微型综合能源系统中具有广阔的应用前景。考虑AA-CAES电站的多能联供特性,研究了含AA-CAES电站的微型综合能源系统优化调度策略。介绍了含AA-CAES电站的微型综合能源系统基本构成;基于AA-CAES电站的实际热力学过程,构建AA-CAES电站的冷热电多能流联合调度约束模型;在此基础上,以最小化系统运行成本为目标,建立含AA-CAES电站的微型综合能源系统优化调度模型;最后,采用天津中新生态城的数据进行模型验证。
