[1]刘艳峰,明 慧,罗 西,等.间歇供暖模式下高校教学建筑多目标排课优化研究[J].西安建筑科技大学学报(自然科学版),2022,54(05):710-717.[doi:10.15986/j.1006-7930.2022.05.009 ]
　LIU Yanfeng,MING Hui,LUO Xi,et al.Research on multi-objective course scheduling optimization of college teaching building under intermittent heating mode[J].J. Xi'an Univ. of Arch. & Tech.(Natural Science Edition),2022,54(05):710-717.[doi:10.15986/j.1006-7930.2022.05.009 ]
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间歇供暖模式下高校教学建筑多目标排课优化研究()
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西安建筑科技大学学报（自然科学版）[ISSN:1006-7930/CN:61-1295/TU]

卷:
54
期数:
2022年05期
页码:
710-717
栏目:
出版日期:
2022-10-28

文章信息/Info

Title:
Research on multi-objective course scheduling optimization of college teaching building under intermittent heating mode
文章编号:
1006-7930(2022)05-0710-08
作者:
刘艳峰1; 2; 明 慧1; 2; 罗 西1; 2; 胡 亮1; 2; 孙勇凯3
(1.西安建筑科技大学 西部绿色建筑国家重点实验室，陕西 西安 710055; 2.西安建筑科技大学 建筑设备科学与工程学院，陕西 西安 710055; 3.西安建筑科技大学 管理学院，陕西 西安 710055)
Author(s):
LIU Yanfeng1; 2;  MING Hui1; 2;  LUO Xi1; 2;  HU Liang1; 2;  SUN Yongkai3
(1.State Key Laboratory of Green Building in Western China, Xi'an Univ. of Arch. & Tech., Xi'an 710055, China; 2.School of Building Services Science and Engineering, Xi'an Univ. of Arch. & Tech., Xi'an 710055, China; 3.School of Management, Xi'an Univ. of Arch. & Tech., Xi'an 710055, China)
关键词:
建筑节能;  排课;  联合仿真;  多目标优化;  遗传算法
Keywords:
building energy saving;  course timetabling;  co-simulation;  multi-objective optimization;  genetic algorithms
分类号:
TU83
DOI:
10.15986/j.1006-7930.2022.05.009
文献标志码:
A
摘要:
我国高校教学建筑的供暖能耗普遍较高.基于间歇供暖模式对高校课程安排进行优化，是通过改变不同教室的使用规律来降低教学楼整体能耗的有效方法.但仅以建筑节能为目的，而忽略课程授课节次的时间间隔应尽量均匀这一常规排课优化目标，会导致优化后的课程安排出现难以与学生客观学习规律相适应的不利结果.为解决以上问题，本研究提出了间歇供暖模式下，同时考虑建筑节能和课程授课时间间隔的高校教学建筑多目标排课优化方法，通过Building Controls Virtual Test Bed(BCVTB)平台建立EnergyPlus与Matlab的联合仿真模型，并利用遗传算法在不同权重的优化目标下对高校排课问题进行计算求解.研究结果表明，随着建筑节能目标所占权重的逐渐增大，排课优化结果存在如下规律:1)室外温度整体较低的授课日内所排课程减少，室外温度整体较高的授课日内所排课程增多; 2)所有教室中全天不供暖次数以及仅下午供暖的累计次数明显增多; 3)教室占用在时间上逐渐集中，一个教室在半天内课程安排全满的概率显著增加; 4)教学建筑典型周内累计供热量最多可降低31.1%.
Abstract:
The heating energy consumption of university teaching buildings in China is generally high. Optimization of curriculum arrangement based on intermittent heating mode is an effective way to reduce the overall energy consumption of teaching buildings by changing the use rules of different classrooms. However, it is only for the purpose of building energy conservation, while ignoring the conventional optimization goal of arranging courses that the interval between teaching sessions should be as uniform as possible, which will lead to adverse results that the optimized course arrangement is difficult to adapt to the objective learning laws of students. In order to solve the above problems, this study, considering both building energy conservation and course teaching time interval, proposes a multi-objective course scheduling optimization method for university teaching buildings under intermittent heating mode.The co-simulation model of EnergyPlus and Matlab is established through the Building Controls Virtual Test Bed( BCVTB )platform, and the genetic algorithm is used to calculate and solve the course scheduling problem under the optimization objective of different weights. The results show that, with the gradual increase of the weight of building energy saving objectives, the results of course scheduling optimization are as follows: 1)the number of courses scheduled in the teaching days with low outdoor temperature decreases, while the number of courses scheduled in the teaching days with high outdoor temperature increases; 2)the cumulative number of times that all classrooms are not heated all day and only heated in the afternoon has increased significantly; 3)classroom occupancy is gradually concentrated in time, and the probability that a classroom will be fully filled within half a day increases significantly; 4)the accumulated heat supply of teaching buildings in a typical week can be reduced by 31.1% at most.

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备注/Memo

备注/Memo:
收稿日期:2021-07-09修改稿日期:2022-10-08
基金项目:陕西省科技厅重点研发计划一般项目(2020SF-393)
第一作者:刘艳峰(1971—),男,教授,博士生导师,主要从事建筑节能与可再生能源应用.E-mail:yanfengliu@xauat.edu.cn
通信作者:罗 西(1988—),女,副教授,硕士生导师,主要从事区域综合能源系统规划.E-mail:xiluo@xauat.edu.cn
更新日期/Last Update: 2022-10-28