Optimization modeling method for coal-to-electricity heating load considering differential decisions

Heating by electricity rather than coal is considered one effective way to reduce environmental problems. Thus, the electric heating load is growing rapidly, which may cause undesired problems in distribution grids because of the randomness and dispersed integration of the load. However, the electric heating load may also function as an energy storage system with optimal operational control. Therefore, the optimal modeling of electric heating load characteristics, considering its randomness, is important for grid planning and construction. In this study, the heating loads of distributed residential users in a certain area are modeled based on the Fanger thermal comfort equation and the predicted mean vote thermal comfort index calculation method. Different temperatures are considered while modeling the users' heating loads. The heat load demand curve is estimated according to the time-varying equation of interior temperature. A multi-objective optimization model for the electric heating load with heat energy storage is then studied considering the demand response(DR), which optimizes economy and the comfort index. A fuzzy decision method is proposed, considering the factors influencing DR behavior. Finally, the validity of the proposed model is verified by simulations. The results show that the proposed model performs better than the traditional method.

Simulation Study of the Control Strategy of a DC Inverter Heat Pump Using a DC Distribution Network

Photovoltaics,energy storage,direct current and flexibility(PEDF)are important pillars of achievement on the path to manufacturing nearly zero energy buildings(NZEBs).HVAC systems,which are an important part of public buildings,play a key role in adapting to PDEF systems.This research studied the basic principles and operational control strategies of a DC inverter heat pump using a DC distribution network with the aim of contributing to the development and application of small DC distribution systems.Along with the characteristics of a DC distribution network and different operating conditions,a DC inverter heat pump has the ability to adapt to changes in the DC bus voltage and adds flexibility to the system.Theoretical models of the DC inverter heat pump integrated with an ice storage unit were developed.The control strategies of the DC inverter heat pump system considered the influence of both room temperature and varied bus voltage.A simulation study was conducted using MATLAB&Simulink software with simulation results validated by experimental data.The results showed that:(1)The bus fluctuation under the rated working voltage had little effect on the operation of the unit;(2)When the bus voltage was fluctuating from 80%-90%or 105%-107%,the heat pump could still operate normally by reducing the frequency;(3)When the bus voltage was less than 80%or more than 107%,the unit needed to be shut down for the sake of equipment safety,so that the energy storage device could adjust to the sharp decrease or rise of voltage.

A review of inorganic particles synthesized through electrical discharge in different dielectric media: from devices, structures and components to applications

Size effects and compositions constitute new properties for inorganic particles in different application fields.The physical method has recently attracted more attention in the preparation of inorganic materials.Herein,a low-cost,eco-friendly,simple-operating,and time-saving technique,named electrical discharge,is reviewed in relation to developments from the nature of this technique in different dielectric media to the practical experience in controlling the main processing parameters,apparatuses,types of discharge,from the various structures and components to the wide applications.The development of the electrical discharge technique will play an important role in improving the technology to prepare superfine inorganic particles with high purity.Meanwhile,electrical discharge contributes to easily mixing solid materials from the atomic scale to several micrometers with different structures.Moreover,metal oxides or doping materials are accessible as the dielectric medium is changed.Considering some excellent advantages,new inorganic particles exploited through the electrical discharge method will promise to be the most rewarding in some potential applications.

量子传态技术传输电网保护信号的适配性分析

电网保护信号关系到电网安全可靠的运行,采用新通信技术改善电网性能是电网发展的需求,而量子远程传态技术具有一些难以比拟的优点,本文用量子远程传态技术传递电网保护信号,研究量子远程传态技术的业务适配性,包括误码率、时延、传输速率和传输距离等,分析量子远程传态技术应用到电力系统中的可行性。

Ecological selection of bacterial taxa with larger genome sizes in response to polycyclic aromatic hydrocarbons stress

Polycyclic aromatic hydrocarbons(PAHs)are ubiquitous priority pollutants that cause great damage to the natural environment and health.Average genome size in a community is critical for shedding light on microbiome's functional response to pollution stress within an environment.Here,microcosms under different concentrations were performed to evaluate the selection of PAHs stress on the average genome size in a community.We found the distinct communities of significantly larger genome size with the increase of PAHs concentration gradients in soils,and consistent trends were discovered in soils at different latitudes.The abundance of Proteobacteria and Deinococcus-Thermus with relatively larger genomes increased along with PAHs stress and well adapted to polluted environments.In contrast,the abundance of Patescibacteria with a highly streamlined and smaller genome decreased,implying complex interactions between environmental selection and functional fitness resulted in bacteria with larger genomes becoming more abundant.Moreover,we confirmed the increased capacity for horizontal transfer of degrading genes between communities by showing an increased connection number per node positively related to the nid A gene along the concentration gradients in the co-occurrence network.Our findings suggest PAHs tend to select bacterial taxa with larger genome sizes,with significant consequences for community stability and potential biodegradation strategies.

Engineering of a NIR-activable hydrogel-coated mesoporous bioactive glass scaffold with dual-mode parathyroid hormone derivative release property for angiogenesis and bone regeneration

Osteogenesis,osteoclastogenesis,and angiogenesis play crucial roles in bone regeneration.Parathyroid hormone(PTH),an FDA-approved drug with pro-osteogenic,pro-osteoclastogenic and proangiogenic capabilities,has been employed for clinical osteoporosis treatment through systemic intermittent administration.However,the successful application of PTH for local bone defect repair generally requires the incorporation and delivery by appropriate carriers.Though several scaffolds have been developed to deliver PTH,they suffer from the weaknesses such as uncontrollable PTH release,insufficient porous structure and low mechanical strength.Herein,a novel kind of NIR-activable scaffold(CBP/MBGS/PTHrP-2)with dual-mode PTHrP-2(a PTH derivative)release capability is developed to synergistically promote osteogenesis and angiogenesis for high-efficacy bone regeneration,which is fabricated by integrating the PTHrP-2-loaded hierarchically mesoporous bioactive glass(MBG)into the N-hydroxymethylacrylamide-modified,photothermal agent-doped,poly(N-isopropylacrylamide)-based thermosensitive hydrogels through assembly process.Upon on/off NIR irradiation,the thermoresponsive hydrogel gating undergoes a reversible phase transition to allow the precise control of on-demand pulsatile and long-term slow release of PTHrP-2 from MBG mesopores.Such NIR-activated dual-mode delivery of PTHrP-2 by this scaffold enables a well-maintained PTHrP-2 concentration at the bone defect sites to continually stimulate vascularization and promote osteoblasts to facilitate and accelerate bone remodeling.In vivo experiments confirm the significant improvement of bone reparative effect on critical-size femoral defects of rats.This work paves an avenue for the development of novel dual-mode delivery systems for effective bone regeneration.

北极狐β-防御素103基因(CBD103)启动子活性及转录调控元件分析

本研究旨在筛选调控北极狐毛色基因CBD103的启动子活性区域及转录因子结合位点,为揭示CBD103基因调控北极狐毛色形成的分子遗传机制提供依据。克隆获得了北极狐CBD103基因5′侧翼区2 123 bp的片段,并构建了4个不同长度的启动子缺失片段表达载体,通过双荧光素酶检测系统对启动子活性进行检测。对启动子活性最高区域预测出的3个特异性蛋白1 (Sp1)转录因子结合位点分别进行点突变并构建3个突变载体,利用双荧光素酶检测系统测定其活性。结果显示,在构建的4个不同长度启动子缺失片段中1 656 (-1 604/+51)区域活性最高,在此区域构建的3个突变载体的启动子活性较野生型(片段1 656)均显著降低,说明-1 604/+51区域为北极狐CBD103基因的核心启动子区,-1 552/-1 564、-1 439/-1 454和-329/-339区域为正调控区域。文中成功获得了北极狐CBD103 基因的核心启动子区域和正调控区域,这为进一步研究该基因调控北极狐被毛颜色分子遗传机制奠定了基础。

加强转基因植物中试基地建设的重要性及发展策略

转基因植物中试基地为转基因生物安全评价的中间试验阶段提供了有力支撑,满足了各类作物规模化试验的要求。随着转基因生物育种产业化步伐加快,国内获批的转基因植物中试基地数量逐渐增加,但所建基地在规范性和标准化方面还存在不足,需要持续改进。本文分析了转基因植物中试基地的特点、作用及重要性,探讨了中试基地今后的发展趋势,并针对基地建设的制度体系、技术水平、风险评估等方面提出相应的策略建议,为建设规范、标准的转基因中试基地提供参考,以便更好的助力我国转基因等生物育种产业的健康发展。

生物育种科普基地建设的必要性及策略

本文探讨了生物育种科普基地建设的必要性及其面临的挑战。首先,强调了提升公众对生物育种认识的需求及其在生物多样性保护中的重要性。接着,分析了科普基地建设中存在的基础设施不足、展示内容缺乏吸引力以及公众参与度低等问题。针对这些问题,提出了优化基础设施、丰富展示内容以及提升公众参与度和科普效果的策略。最后,总结了研究的主要观点,并对生物育种科普基地的未来建设提出了建议。本文旨在推动生物育种科普教育的普及与发展,为生物多样性保护贡献力量。

Effect of system parameters on the size distributions of hollow nickel microspheres produced by an ultrasound-aided electrical discharge machining process

Ultrasound-aided electric discharge machining（EDM） is an emerging technology for producing hollow nickel microspheres.This technology combines traditional EDM with the cavitation and vibration effects of ultrasound to produce hollow microspheres.In this paper,ultrasound-aided EDM was carried out in a kerosene medium（the working solution）.The effects of various parameters on the sizes of microspheres were investigated using scanning electronic microscopy（SEM）.Smileview software was used to measure the sizes of the microspheres.Originpro software was used for statistical analysis to determine the size distributions of the microspheres.To study the effects of the system parameters on the sizes of the microspheres,we first investigated the necessity of using an ultrasonic wave with EDM.After comparing the experimental results with and without the ultrasonic field,we found that ultrasound-induced cavitation and vibration effects reduced the diameters of the microspheres.We then studied the effects of several electrical parameters,including the arc current,pulse width,and gap voltage,on the sizes of the microspheres at an ultrasound frequency of 40 kHz.Smaller microspheres could be obtained by lowering the arc current,pulse width,and gap voltage.

Cooperative planning ofmulti-agent systems based on task-oriented knowledge fusion with graph neural networks

Cooperative planning is one of the critical problems in the field of multi-agent system gaming.This work focuses on cooperative planning when each agent has only a local observation range and local communication.We propose a novel cooperative planning architecture that combines a graph neural network with a task-oriented knowledge fusion sampling method.Two main contributions of this paper are based on the comparisons with previous work:(1)we realize feasible and dynamic adjacent information fusion using GraphSAGE(i.e.,Graph SAmple and aggreGatE),which is the first time this method has been used to deal with the cooperative planning problem,and(2)a task-oriented sampling method is proposed to aggregate the available knowledge from a particular orientation,to obtain an effective and stable training process in our model.Experimental results demonstrate the good performance of our proposed method.

PMCMC for Term Structure of Interest Rates under Markov Regime Switching and Jumps

A parameter estimation method,called PMCMC in this paper,is proposed to estimate a continuous-time model of the term structure of interests under Markov regime switching and jumps.There is a closed form solution to term structure of interest rates under Markov regime.However,the model is extended to be a CKLS model with non-closed form solutions which is a typical nonlinear and non-Gaussian state-space model(SSM)in the case of adding jumps.Although the difficulty of parameter estimation greatly prevents from researching models,we prove that the nonlinear and non-Gaussian state-space model has better performances in studying volatility.The method proposed in this paper will be implemented in simulation and empirical study for SHIBOR.Empirical results illustrate that the PMCMC algorithm has powerful advantages in tackling the models.