| The radiant cooling and heating system has the characteristics of high energy saving and high comfort,and has been paid more and more attention by people,and its application in buildings is becoming more and more extensive.For radiant cooling and heating air conditioning systems,the main way of heating in the treatment room has changed from convective heat transfer in the whole air system to long-wave radiation heat transfer,and the conversion mode of indoor heat to indoor cooling load has changed.The research on the thermal process of the radiant cooling system is of great significance for the design and application of the system.At the same time,building energy consumption simulation has been widely used in the design and operation evaluation of environmental construction systems.There are many researches on foreign building energy consumption model calibration.However,there is no unified guidance or correction method,and there is no integrated tool to realize the building energy consumption model.The reproducibility of building energy consumption simulation has become one of the key issues to be solved in the study of building energy consumption model.In this paper,through theoretical analysis and on-site measurement of full-scale office environment,the factors that are less involved in the existing research but have a greater impact on the design and operation of the radiant cooling system are studied,mainly including the effect of ceiling fans on indoor air temperature stratification,the change of indoor temperature from the perimeter area to the,the difference between air temperature and operating temperature in the actual radiant cooling system,and the feasibility of using air temperature as the control parameter of the radiant cooling system.The result shows:(1)In cooling mode,the air stratification effect was significantly greater in the Radiant Slab(RS)system than in the Radiant Ceiling Panel(RCP)system.In the RCP system,the observed maximum stratification value is 1.7K–too small to have a significant impact on thermal comfort,while in RS system,the value went up to 3.4K between floor and standing head height,with a risk of exceeding the permitted limitation in ASHRAE Standard 55.Use of ceiling fans would serve to reduce any excess stratification and/or provide thermal comfort at higher zone temperatures.(2)In both the RCP and RS systems,there is no need to incur the additional expense of a separate control zone at the perimeter of a 50% window-to-wall ratio unshaded south fa(?)ade.The elevation of zone dry-bulb temperature near the south fa(?)ade was primarily driven by the solar radiation.The peak value usually occurs approximately three hours after solar noon,the time lag being due to the thermal capacity of the floor.Again,this effect is too small to have a significant impact on thermal comfort.(3)In the RCP system,the difference between the operative temperature and air temperature is quite small if the loads can be met by the RCP system(smaller than30W/m2).The observed difference did not exceed 0.2K in cooling mode.This makes it possible to use air temperature as the controlled variable input to the zone temperature controller instead of the operative temperature,with significant cost savings.The difference for the RS system is larger than in the case of the RCP system,with a maximum value of 0.6K.In order to solve the issue of the lack of reproducibility in the simulations of building energy consumption,an integrated framework for building energy consumption simulation and data-driven analysis is proposed.The framework uses structured input and output formats to manage parameterized simulations,and presents the simulation results in the form of Tidy Data,realizing the seamless integration between the Energy Plus building energy simulation engine and the R language data-driven analysis environment;A portable and reusable computation environment of building energy simulation and analysis is proposed,which realizes the reproducible research in the field of building energy simulation and makes the automatic calibration of the radiant cooling model possible.Traditional manual energy consumption model calibration method requires manual iterative adjustment,making the parameter calibration process time-consuming,errorprone,and difficult to repeat.Based on the integrated framework of building energy consumption simulation and data-driven analysis,this paper proposes an automatic calibration method of building energy models based on Bayesian theory combining Morris sensitivity analysis.The proposed method avoids the untraceability of the parameter adjustment process in the traditional method,while considering the parameter uncertainty.It simplifies the energy consumption model correction process to a large extent. |
