Abstract

The Typical meteorological year (TMY) database is often used to calculate air-conditioning loads, and it directly affects the building energy savings design. Among four kinds of TMY databases in China—including Chinese Typical Year Weather (CTYW), International Weather for Energy Calculations (IWEC), Solar Wind Energy Resource Assessment (SWERA) and Chinese Standard Weather Data (CSWD)—only CSWD is measures solar radiation, and it is most used in China. However, the solar radiation of CSWD is a measured daily value, and its hourly value is separated by models. It is found that the cloud ratio (diffuse solar radiation divided by global solar radiation) of CSWD is not realistic in months of May, June and July while compared to the other sets of TMY databases. In order to obtain a more accurate cloud ratio of CSWD for air-conditioning load calculation, this study aims to propose a method of refining the cloud ratio of CSWD in Shanghai, China, using observed solar radiation and the Perez model which is a separation model of high accuracy. In addition, the impact of cloud ratio on air-conditioning load has also been discussed in this paper. It is shown that the cloud ratio can yield a significant impact on the air conditioning load.

Highlights

  • The development of meteorological data for the air-conditioning load calculation is currently a subject of study in many countries

  • Many standard year weather data sources are used to be input into simulation software such as EnergyPlus [5] that is used worldwide and New HASP/ACLD-β that is often used in Japan [6]

  • By comparing the four Typical meteorological year (TMY) databases in Shanghai, China, it was found that the cloud ratios of Chinese Standard Weather Data (CSWD) for the three months from May to July are relatively lower than the other three TMY databases

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Summary

Introduction

The development of meteorological data for the air-conditioning load calculation is currently a subject of study in many countries. By comparing the four TMY databases in Shanghai, China, it was found that the cloud ratios (which are defined as diffuse solar radiation divided by global solar radiation) of CSWD for the three months from May to July are relatively lower than the other three TMY databases. It is questioned if the solar radiation components of the CSWD database may have some accuracy problems, with a correspondence decrease in air-conditioning load calculation accuracy. The influence of cloud ratios on air conditioning load is discussed using a typical glass building simulation in this paper

Solar Radiation of Standard Year Weather Data in Shanghai
Cloud in Japan
Sky Condition Classification
Observed
Installation
Daily cloud
Application of Perez Model for Refinement of Solar Radiation
Method
Proposed Simple Refinement
Comparison of Perez Model
Evaluation
Results
13. Impact
Full Text
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