摘要
适当改变建筑的空调设定温度值可有效降低建筑能耗。基于"十三五"国家重点研发计划课题建筑节能设计基础参数研究建筑室内设计温度的更新数据,进行建筑空调能耗快速预测方法的研究。首先,选取我国寒冷地区住宅和办公典型建筑,通过能耗模拟软件EnergyPlus批处理程序,对典型建筑进行不同空调设定温度组合下的建筑能耗批量模拟,得到室内设计温度更新后典型建筑在寒冷地区的能耗数据集并分析其节能潜力。同时,为减少进行建筑制冷与采暖温度穷举模拟的时间成本,对建筑采暖空调能耗线性和非线性快速预测模型进行探讨,得到仅需极少次数的模拟即可得到良好的预测效果的有限点下的建筑空调能耗快速预测方法,预测时间较穷举法降低了98%以上。该方法为建筑室内设计温度更新后的建筑空调能耗快速模拟预测提供了有效途径。
Properly changing the setting temperature of the air-conditioning in the building can effectively reduce the energy consumption of the building.This paper is based on the update data of building interior design temperature established by the study of basic parameters of building energy conservation design of the 13 th Five-Year National Key Research and Development Program,and research on the rapid prediction method of building air-conditioning energy consumption.Firstly,selecting typical residential and office buildings in cold regions of China,according to different air conditioning temperature combinations set after the interior design temperature update,the batch program of energy consumption simulation software EnergyPlus was used to simulate the typical buildings in batches simulation.Then energy consumption data set of typical buildings in cold zones are obtained after the interior design temperature is updated,with analysis on its energy-saving potential.Meanwhile,in order to reduce the time cost of exhaustive simulation of building refrigeration and heating temperature,this paper also discusses the linear and non-linear rapid prediction model of building heating and air conditioning energy consumption.Obtained a fast prediction method for building air-conditioning energy consumption under a limited point that requires only a few simulations to get a good prediction effect,and the prediction time is reduced by more than 98%compared with the exhaustive method.This method provides an effective way for the rapid simulation and prediction of building air-conditioning energy consumption after the building interior design temperature is updated.
作者
罗智星
王逸群
路逸晴
杨柳
LUO Zhi-xing;WANG Yi-qun;LU Yi-qing;YANG Liu(State Key Laboratory of Green Building in Western China,Xi’an 710055,China;School of Architecture,Xi’an University of Architecture and Technology,Xi’an 710055,China)
出处
《建筑节能（中英文）》
CAS
2021年第11期28-35,共8页
Building Energy Efficiency
基金
“十三五”国家重点研发计划资助项目(2018YFC0704500)
陕西省重点研发计划资助项目“超低能耗建筑室内外环境控制技术研发及应用”(2018ZDCXL-SF-03-05)。
关键词
室内设计温度
建筑空调能耗
建筑节能
快速预测
interior design temperature
building air conditioning energy consumption
building energy efficiency
fast prediction
