[1]陈为花,孙毅,张浩,等.寒冷地区某机关办公建筑节能潜力分析[J].山东建筑大学学报,2021,36(02):69-75.[doi:10.12077/sdjz.2021.02.010]
 CHEN Weihua,SUN Yi,ZHANG Hao,et al.Energy-saving potential analysis of a government office buildings in cold regions[J].Journal of Shandong jianzhu university,2021,36(02):69-75.[doi:10.12077/sdjz.2021.02.010]
点击复制

寒冷地区某机关办公建筑节能潜力分析()
分享到:

《山东建筑大学学报》[ISSN:1673-7644/CN:37-1449/TU]

卷:
36
期数:
2021年02期
页码:
69-75
栏目:
研究论文
出版日期:
2021-04-15

文章信息/Info

Title:
Energy-saving potential analysis of a government office buildings in cold regions
文章编号:
1673-7644(2021)02-0069-07
作者:
陈为花1孙毅2张浩13*
(1.山东建筑大学 热能工程学院,山东 济南 250101;2.中国电建集团核电工程有限公司,山东 济南 250100;3.山东省绿色建筑协同创新中心,山东 济南 250101)
Author(s):
CHEN Weihua1SUN Yi2 ZHANG Hao13*
( 1. School of Thermal Engineering, Shandong Jianzhu University, Jinan 250101, China; 2. Power China Nuclear Engineering Co., Ltd., Jinan 250100, China; 3. Shandong Co-Innovation Center of Green Building, Jinan 250101, China )
关键词:
机关办公建筑建筑能耗DeST模拟节能潜力
Keywords:
government office building building energy consumption DeST simulation energy saving potential
分类号:
F407.2
DOI:
10.12077/sdjz.2021.02.010
文献标志码:
A
摘要:
公共建筑的能源消耗在迅速增长,其节能潜力分析成为建筑节能研究的重点,针对寒冷地区政府机关办公建筑能耗现状进行节能潜力分析,可为其节能改造提供依据。文章基于建筑能耗传递机理,运用DeST软件建立寒冷地区某政府机关办公建筑的物理模型,模拟了负荷及能耗,分析了围护结构、空调及照明系统3个方面的节能潜力。结果表明:降低建筑外墙传热系数至节能规范要求后,建筑全年累计热负荷降低了17%,全年累计热负荷随外窗玻璃传热系数的降低而降低,并呈线性变化趋势;而全年累计冷负荷随外窗玻璃遮阳系数SC值的降低而降低;调整空调室内温度、使用新风热回收技术对建筑空调能耗影响非常显著;更换高效的节能灯具,照明系统能耗降低了55.59%,且空调能耗也有所减少。
Abstract:
The energy consumption of the public buildings is increasing rapidly and the energy-saving potential analysis is the focus of the building energy saving research. Moreover, office buildings in cold areas have great energy-saving potential. Based on the energy transfer mechanism of the building, the physical model of office buildings of a government agency in cold area is established by using DeST software, The energy saving potential is analyzed from air conditioning system and lighting system and the load and energy consumption is simulated. The results show that after reducing the heat transfer coefficient of the external wall of the building to the requirements of the energy-saving codes, the cumulative heat load of the building is down by 17% throughout the year. The cumulative cooling load decreases with a linear trend as the shading coefficient of the outer window glass decreases, and the cumulative cold load of the building decreases with the reduction of the SC value of the shading coefficient of the exterior window glass. Adjusting the indoor temperature of the air conditioner, using the fresh air heat recovery technology, and enhancing behavioral energy saving have a significant impact on the energy consumption of the building air conditioner. The energy consumption of lighting system is reduced by 55.59%, and the energy consumption of air conditioning is also reduced.

参考文献/References:

[1]British petroleum company. British petroleum statistical review of world energy [G].London: BP Statistical Review,2019. [2]British petroleum company. British petroleum energy outlook:2019 [G]London: BP Statistical Review,2019. [3]王庆一.2018能源数据[G].北京:绿色创新发展中心,2019. [4]韩保华,马秀力,王成霞,等.国家机关办公建筑能耗现状与节能对策研究[J].建筑科学,2010,26(2):59-61. [5]李玉云,张道军,杨金凤,等.武汉市政府机构办公楼与公共建筑的能源审计[J].暖通空调,2009,39(4):117-121,103. [6]朱炜,龚敏,王竹,等.杭州政府机关办公建筑能耗分析[J].建筑学报,2009(S2):16-19. [7]中华人民共和国住房和城乡建设部,中华人民共和国国家质量监督检验检疫总局.公共建筑节能设计标准:GB 50189—2015[S].北京:中国建筑工业出版社,2015:8-14. [8]清华大学建筑研究中心.中国建筑节能年度发展研究报告2018[M].北京:中国建筑工业出版社, 2018. [9]张威. 湖北省机关办公楼建筑能耗分析及节能研究[D].武汉:华中科技大学,2009. [10]陈淑琴,何茜,吕西林,等.面向能源规划的围护结构负荷简化预测模型[J].同济大学学报(自然科学版),2017,45(7):1053-1060. [11]李云雁,胡传荣.试验设计与数据处理[M].北京:化学工业出版社,2017. [12]张泽平,李珠,董彦莉.建筑保温节能墙体的发展现状与展望[J].工程力学,2007(S2):121-128. [13]王昭俊,孙晓利,赵加宁,等.利用夜间通风改善办公建筑热环境的实验研究[J].哈尔滨工业大学学报,2006(12):2084-2088. [14]杨长军.利用DEST模拟窗户对建筑能耗的影响[J].制冷与空调(四川),2012,26(6):572-574,578. [15]杨华,张慧午,曹磊.寒冷地区某低能耗建筑空调运行节能潜力分析[J].建筑节能,2019,47(12):82-85. [16]王玉山,彭辉,王丹,等.基于人体舒适度的室内温度优化设定方法[J].中南大学学报(自然科学版),2015,46(11):4083-4090. [17]GUO S R, YANG H Y, LI Y R, et al. Energy saving effect and mechanism of cooling setting temperature increased by 1 ℃ for residential buildings in different cities[J]. Energy and Buildings, 2019, 202:1-7. [18]朱耀鑫. 夏热冬冷地区窗墙比及人行为对办公建筑能耗的影响[D].杭州:浙江大学,2016. [19]刘如意,王艳新.行为因素对办公建筑空调能耗的影响分析[J].制冷与空调,2012,26(1):93-96. [20]杜娟.行为节能对公建暖通运行能耗影响的调查研究[D].绵阳:西南科技大学,2019. [21]MLADEN M, DUSAN R, DOBRICA M, et al. A method to estimate savings of led lighting installation in public buildings the case study of secondary schools in Serbia [J]. Thermal Science, 2017, 21(6b):2931-2943. [22]AHEMEN I, AMAH A N, AGADA P O. A survey of power supply and lighting patterns in North Central Nigeria—The energy saving potentials through efficient lighting systems[J]. Energy and Buildings, 2016, 133:770-776. [23]罗涛. 办公建筑照明能耗模拟方法的研究[D].北京:清华大学,2014. [24]胡进,吕征宇,林辉品,等.LED照明应用现状特征及驱动技术发展综述[J].电源学报,2018,16(1):135-144.

相似文献/References:

[1]于晓谕,汪明*,李尧.建筑运行能耗仿真方案设计及影响因素分析[J].山东建筑大学学报,2016,(02):148.
 YU Xiaoyu,WANG Ming*,LI Yao.Building operation energy simulation program design and influence factors analysis[J].Journal of Shandong jianzhu university,2016,(02):148.
[2]李永安,*,王德晔,等.神经网络在寒冷地区建筑能耗预测中的应用[J].山东建筑大学学报,2020,35(06):1.[doi:10.12077/sdjz.2020.06.001]
 LI Yongan,*,WANG Deye,et al.Application of neural network in building energy consumption prediction in cold area[J].Journal of Shandong jianzhu university,2020,35(02):1.[doi:10.12077/sdjz.2020.06.001]

备注/Memo

备注/Memo:
收稿日期:2020-05-06 基金项目:山东省研究生优质课程建设项目(SDYKC19117) ; 山东省自然科学基金项目(ZR2014JL039) 作者简介:陈为花(1994-), 女,在读硕士, 主要从事建筑节能及建筑环境等方面的研究。E-mail:cwhslowmotion@foxmail.com 通讯作者*:张浩(1976-), 男,教授, 博士, 主要从事非牛顿幂律流体边界层、建筑外环境、室内热湿环境等方面的研究。E-mail:qdzhanghao@126.com
更新日期/Last Update: 2021-03-09