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| 1 | 集中供热系统热网流量的优化神经网络控制显示文摘传统集中供热系统存在一个缺点,就是现有的集中供热系统对供热量的控制都是选取一次网供水温度和二次网回水温度为控制量来实现。但是考虑到热量传递的时滞性和管网结构的复杂性以及热量控制的非线性变化,为了优化这一缺陷,提出按需供热这一控制理念。在整个热网满足水力平衡的前提下,选取整个热网内的流量为控制量,即控制整个管网的热媒总量。热媒流入管网进行循环供热。系统通过热媒的传输量直接确定整个供热系统获取的热量,再通过检测一次网供回水流量、一次网供回水温度,以及二次网供回水流量、二次网供回水温度作为监测系统供热量的参照。采用改进的粒子群优化(PSO)算法优化反向传播(BP)神经网络比例积分微分(PID)控制器的权值,对整个热网的流量进行优化控制。结果显示,提出的新供热理念和优化后的神经网络PID控制器能够解决供热系统难以进行精确系统建模的缺点,提高系统的控制精度和减少能耗,具有较高的实用和推广价值。 | 顾伟 薛贵军 | 2020 | 自动化仪表2020，41，6： | 4 |
| 2 | A New Nodes-Based Model for Optimization of Heat Exchanger Network Synthesis显示文摘Searching the global optimal value in heat exchanger network synthesis (HENS) becomes more difficult along with the increasing scale of cases.In structural opitimization model,such as stage-wise superstructure,solution domain can be enlarged by adding the stages of network,which would involve multiple integer and continuous variables in optimization and result in a decreasing computational efficiency.Thus,a new nodes-based model with stream splits is proposed,which can promote the quality of result and decrease time consumption at the same time.The characteristic of this model is that it changes the matching mode of heat exchangers by setting the number of nodes on streams to quantify the positions of heat exchangers.The proposed nodes-based model has more flexibility in generating and eliminating the heat exchangers and strong ductility in exploring the solution domain.The random walk with compulsive evolution is modified for enhancing its searching ability and applying modified random walk algorithm with compulsive evolution (RWCE) into the new proposed model.The obtained results of Case 1,Case 2 and Case 3 are superior to those reported in the literature,which decreases 106 USD·a-1,1253 USD·a-1,23 444 USD·a-1,respectively,verifying the robust effectiveness of this new model in solving HENS problem. | XU Yue HERI Ambonisye Kayange XIAO Yuan CUI Guomin | 2021 | Journal of Thermal Science2021，30，2： | 4 |
| 3 | 结合天气因素的HTS-FOA-GRNN短期热负荷预测研究显示文摘随着社会的不断发展进步以及社会各界对环境保护问题的高度重视,如何做到让冬季北方地区的集中供热系统经济环保运行成为了目前我国供热行业的首要目标。短期热负荷预测的研究恰恰可以提高供热系统控制精度,优化供热系统控制方案,实现系统的经济环保运行。由于热用户的室内温度受外界环境温度的影响因素较大,因此在结合天气因素再进行神经网络建模会使预测更加精准。提出一种基于改进果蝇算法优化的广义回归神经网络(FOA-GRNN)以及结合天气因素的短期热负荷预测方法,选取供热负荷值、实时天气温度和二次网供水温度和二次网回水温度等四类数据,构建HTS-FOA-GRNN供热负荷短期预测模型。研究表明,所构建的HTS-FOA-GRNN模型具有很好的预测能力和优化效果。 | 顾伟 薛贵军 李水清 | 2022 | 机械设计与制造2022，，1： | 2 |
| 4 | Heating Characteristics and Economic Analysis of a Controllable On-Demand Heating System Based on Off-Peak Electricity Energy Storage显示文摘The working principle of a controllable on-demand heating system based on off-peak electricity energy storage(COHSBOEES) is as follows: the cheap off-peak electricity energy is converted into heat energy for storage in the evening, and the heat energy can be extracted on demand for heating during daytime peak or flat electricity periods. This technology can promote the smooth operation of the power grid, solve the problem of peak regulation for the electrical network, and promote renewable energy consumption. Based on the controllable on-demand heating strategy, a COHSBOEES for a heating area of 1000 m^2 was designed and built. Variations in the energy consumption and operating cost of the COHSBOEES in different heating situations were analyzed. The results showed that, off-peak electricity energy storage for heating was energy saving in comparison with central heating when the heating intensity of the COHSBOEES was 70 W/m^2 and the on-demand heating rate was less than 73.0%, and the off-peak electricity energy storage for heating was energy saving at any on-demand heating rate when the COHSBOEES had a heating intensity of 50 W/m^2. After the COHSBOEES has been running for three complete heating seasons, when the off-peak electricity price was 0.25 yuan/kW·h, the energy consumption cost of the COHSBOEES can be saved by 77.6% in comparison with central heating. | YIN Shaowu SHI Yongle TONG Lige LIU Chuanping WANG Li DING Yulong | 2020 | Journal of Thermal Science2020，29，2： | 1 |
| 5 | Assessment of Building External Wall Thermal Performance Based on Temperature Deviation Impact Factor under Discontinuous Radiant Heating显示文摘As the variation and timely meeting thermal environment requirement of indoor air temperature has a close relationship with the thermal performance of building external wall under discontinuous radiant heating condition, one appropriate assessment method or index for assessing the building external wall thermal performance is very necessary. In order to reasonably evaluate the thermal performance of external wall under discontinuous radiant heating condition and build the direct connections and interactions among the indoor air temperature, external wall inner surface temperature and outdoor air temperature, the first and second impact factors of temperature deviation were established, based on one mathematical model of room heat transfer. For one experimental room and four types of external walls under discontinuous radiant heating condition, both the influence of the external wall inner surface temperature deviation on the indoor air temperature and that of the outdoor air temperature deviation on the external wall inner surface temperature were determined effectively with the first and second impact factors of temperature deviation. In addition, favourable performance for the self-insulation and inner insulation walls were found, due to their superiority in effectively and timely improving the indoor thermal environment under discontinuous radiant heating condition. | YANG Jie WANG Jun XIONG Feng LIANG Hao LI Yunzhang | 2019 | Journal of Thermal Science2019，28，6： | 0 |
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