基于Gur Game的LEACH改进算法

在LEACH中引入了Gur Game算法,来实现对无线传感网络中工作节点总数的控制。在节点密度较高的网络中,当算法满足它的节点密度要求时,允许部分节点进入低能耗状态同时也减少了簇头节点个数。仿真实验证明改进算法与LEACH相比能有效延长了系统的生存时间。     

大规模农田传感器网络通信能耗模型

将无线传感器网络应用于农业中,构成农田监控网络,是实现农业信息化、自动化、智能化的重要手段.然而,农田无线传感器网络具有超大规模、超低成本、拓扑变化复杂等特点,这些特征对网络通信设计提出了更加苛刻的要求.从Heinzelman的无线传输能量模型出发,建立了一个适用于大规模农田传感器网络的通信能耗模型,该能量模型考虑了部署间距、传输半径以及数据包大小对系统总能耗的影响,获得了在传输间距z确定情况下,求最佳传输半径R的计算方法.同时,仿真分析了不同部署半径、不同网络规模对全网查询能耗的影响.     

基于投资的可持续能源税收政策决策模型

为提高能源资源利用效率,科学确定最优节能减排目标及为实现目标所采取的能源税收政策方案,建立了中国可持续能源税收政策决策模型.模型以系统动力学方法为基础,考虑能源价格、利率、能源税率、能源削减边际成本等因素对节能项目投资愿意的影响,着重研究国家能源财经税收政策对能源战略目标的支持作用.研究表明:以中国交通用能为对象,在确定2005-2020年间5%年度最优节能指标后,相应能源税率从2005年的28%提高到2011年的40%,并逐渐回落至2020年的33%;交通崩能消费总量,相应CO2排放量和含税原油价格分别从2005年的120Mt、364.57Mt和611.78USD/t提高到2020年的321.8Mt、977.78Mt和1533.99USD/t.结论对于设计未来可持续的能源财经与税收政策具有指导意义.     

Evaluating the energy consumption and the silicon area of on-chip interconnect architectures

Sophisticated on-chip interconnects using packet and circuit switching techniques were recently proposed as a solution to non-scalable shared-bus schemes currently used in Systems-on-Chip (SoCs) implementation. Different interconnect architectures have been studied and adapted for SoCs to achieve high throughput, low latency and energy consumption, and efficient silicon area. Recently, a new on-chip interconnect architecture by adapting the WK-recursive network topology structure has been introduced for SoCs. This paper analyses and compares the energy consumption and the area requirements of Wk-recursive network with five common on-chip interconnects, 2D Mesh, Ring, Spidergon, Fat-Tree and Butterfly Fat-Tree. We investigated the effects of load and traffic models and the obtained results show that the traffic models and load that ends processing elements has a direct effect on the energy consumption and area requirements. In these results, WK-recursive interconnect generally has a higher energy consumption and silicon area requirements in heavy traffic load.     

A data collection protocol for real-time sensor applications

The nature of many sensor applications as well as continuously changing sensor data often imposes real-time requirements on wireless sensor network protocols. Due to numerous design constraints, such as limited bandwidth, memory and energy of sensor platforms, and packet collisions that can potentially lead to an unbounded number of retransmissions, timeliness techniques designed for real-time systems and real-time databases cannot be applied directly to wireless sensor networks. Our objective is to design a protocol for sensor applications that require periodic collection of raw data reports from the entire network in a timely manner. We formulate the problem as a graph coloring problem. We then present TIGRA (Timely Sensor Data Collection using Distributed Graph Coloring) — a distributed heuristic for graph coloring that takes into account application semantics and special characteristics of sensor networks. TIGRA ensures that no interference occurs and spatial channel reuse is maximized by assigning a specific time slot for each node. Although the end-to-end delay incurred by sensor data collection largely depends on a specific topology, platform, and application, TIGRA provides a transmission schedule that guarantees a deterministic delay on sensor data collection.     

能耗曲线在带钢热连轧负荷分配控制中的应用

主要介绍了带钢热连轧厚度控制中采用能耗曲线的方法,对轧机的负荷分配进行分析和设计,详细论述了能耗曲线的建立过程以及运用于实际生产过程中的轧制力分配和辊缝分配的控制方案,并给出了它们各自具体的控制原理、计算公式以及程序框图。该负荷分配方法用于在线,有较好的使用效果。     

基于RSView32的能源计量系统设计与实现

介绍了组态软件RSView32的功能、特点,分析了现在能源计量系统的功能和组成,给出了所设计系统的硬件组成和软件框图;分析了人机界面绘制方案,设计了DDE服务器来实现RSView32对底层设备的驱动。整个人机界面简洁、友好,系统已投入实际运行,运行效果良好。     

电-热-氢综合能源系统鲁棒区间优化调度

该文采用鲁棒区间法挖掘电-热综合能源系统协调运行的潜力,以缓解风电功率的不确定性对电力系统的运行稳定性的影响,并构建风力发电与氢储能系统相结合的风-氢混合系统,考虑氢储能系统的热平衡需求,以充分发挥氢储能系统的储能效率,平抑风电的波动性。首先,介绍了考虑氢储能系统接入的电-热综合能源系统结构,并构建其数学模型;然后,以区间形式考虑风电的不确定性,构建含风电的鲁棒区间优化调度模型,使系统在所有风电出力允许区间内,均满足允许约束条件;再次,建立一种含风-氢混合系统的电-热综合能源系统鲁棒区间优化调度模型,采用对偶理论将原模型转化为单层模型进行求解,最坏情况下的风电不平衡功率由可调机组根据时变参与因子进行调整;最后,以PJM-5节点电力系统与6节点热力系统和辽宁省北部太和综合能源系统为例对所提模型进行分析,验证了模型的有效性。     

含多电解槽的新能源制氢能量管理优化

新能源制氢系统是提升风能、太阳能等新能源发电消纳的有效途径。目前国内外关于电解槽能量管理的相关研究以单电解槽为主。单电解槽能量管理未考虑电解槽非线性的工作特性,难以兼顾多个电解槽制氢效率,影响系统经济性。论文针对含有多电解槽新能源制氢系统的能量管理问题进行了研究。以新能源消纳率、经济收益、制氢率为目标,考虑单个电解槽运行特性及生产约束等条件,建立包含风电、光伏、蓄电池、电解槽多个模块的能量管理优化模型,并采用SPEA2算法求解多目标优化问题。仿真研究表明,所提能量管理策略能够实现新能源发电的100%消纳,单位制氢效益可提升5.15%。因此,多电解槽制氢系统进行有效的能量管理有助于提高制氢效率,有效克服单电解槽运行及能量管理的不足。     

An energy-efficient multi-objective integrated process planning and scheduling for a flexible job-shop-type remanufacturing system

This study considers an energy-efficient multi-objective integrated process planning and scheduling (IPPS) problem for the remanufacturing system (RMS) integrating parallel disassembly, flexible job-shop-type reprocessing, and parallel reassembly shops with the goal of realizing the minimization of both energy cost and completion time. The multi-objective mixed-integer programming model is first constructed with consideration of operation, sequence, and process flexibilities in the RMS for identifying this scheduling issue mathematically. An improved spider monkey optimization algorithm (ISMO) with a global criterion multi-objective method is developed to address the proposed problem. By embedding dynamic adaptive inertia weight and various local neighborhood searching strategies in ISMO, its global and local search capabilities are improved significantly. A set of simulation experiments are systematically designed and conducted for evaluating ISMO’s performance. Finally, a case study from the real-world remanufacturing scenario is adopted to assess ISMO’s ability to handle the realistic remanufacturing IPPS problem. Simulation results demonstrate ISMO’s superiority compared to other baseline algorithms when tackling the energy-aware IPPS problem regarding solution accuracy, computing speed, solution stability, and convergence behavior. Meanwhile, the case study results validate ISMO’s supremacy in solving the real-world remanufacturing IPPS problem with relatively lower energy usage and time cost.