以生物质气化多联产为核心的区域综合能源系统数学优化模型

基于生物质多联产的综合能源系统(biomass polygeneration integrated energy system,BPIES)将生物质气化多联产与区域BPIES相结合,不但可提高物质与能量综合梯级转换利用效率,同时还兼具节约能源、提高供能质量、增加经济效益等综合效益,体现了生物质能源技术与区域能源规划的深度融合,有望成为最有效、最洁净的生物质能综合利用技术.基于通用数学建模(the general algebraic modeling system,GAMS)软件,在构建生物质气化多联产各模块机理模型基础上,建立了耦合多种可再生与不可再生能源系统的多层次、高维度数学优化模型,在满足区域能源需求的前提下,从经济、环境、技术及能耗等多方面对系统进行综合评估,并结合案例分析验证模型的可靠性与有效性.结果表明,耦合了化学合成单元的BPIES在满足区域负荷与生产化学产品上起到良好的互补作用,不仅能够实现能源的高效利用,还能同时提高系统经济效益.BPIES在4个典型区域的适用性为大连>上海≈广州>昆明.福建省科技计划高新技术与工业科技引导性项目（2018H0036

耦合可再生能源的分布式联供系统设计及运行策略优化

基于通用数学建模(the general algebraic modeling system,GAMS)软件,针对耦合可再生能源技术的分布式冷热电联供(renewable energy coupled combined cooling,heating and power,RCCHP)系统构建数学模型,并结合上海市某综合区域为案例,选取2项经济性指标和1项环境性指标,对4种情景下RCCHP系统的运行情况进行模拟计算与分析,分析该系统的设备组合、逐时运行策略、经济性与环境性,同时分析了可再生清洁发电技术与能源政策对分布式多联供系统的影响.结果表明,夜间采用电网购电与风力发电互补供应电负荷、白天使用CCHP耦合风力发电联合互补供能是经济性最佳的运行策略,能够抑制可再生能源的波动性并且实现多种电能的完全消纳.与传统分产(separated production,SP)系统相比,RCCHP系统能够极大地降低系统对电网的依赖度,减少耗气量,同时极大地提高系统的环境性,但其较高的初始投资费用限制了其经济性与实用性.福建省科技计划引导性项目(2018H0036

A new type of solar-driven ORC-HP combined heat and power coupling system

提出了一种新型太阳能平板集热器、有机朗肯循环和热泵循环联合的热电联产系统（SORC-HP），系统分别采用有机工质R245fa和制冷剂R22作为朗肯循环和热泵循环的工作介质。通过流程模拟软件gPROMS对整个联合系统进行模拟仿真，以系统的净功率输出、发电效率和热电联产（CHP）效率为性能指标，分析了6个关键参数对联合系统性能的影响。结果显示：存在最优的导热油流率和制冷剂冷凝温度使系统的CHP效率取得极值。将此系统与传统的太阳能有机朗肯循环系统进行对比，结果表明在太阳辐射度为1000w／m2时，联合系统的CHP效率比普通太阳能ORC系统高3．7％。In this paper, a combined heat and power system which is composed of flat plate solarcollector, organic Rankine cycle （ORC） and heat pump is proposed, organic fluid R245fa andrefrigerant R22 are used respectively as the working fluid of ORC and heat pump cycle. Thecombined system is simulated by process simulation software gPROMS, the effect of six keyparameters on the system performance are analyzed based on net power output, power generationefficiency and CHP efficiency of the system. Results show that there is an optimal flow rate ofheat transfer oil and the condensation temperature of refrigerant which let CHP efficiency getmaximum value. The combined system is compared with the traditional solar organic Rankinecycle, the results show that CHP efficiency of the combined system is 3.7% higher than that ofthe ordinary solar ORC when the solar radiation is 1000 W/m2.厦门大学校长基金项目（20720150111）

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies