Abstract
For the climatic variables solar irradiance and ambient temperature, a method has been devised for identifying the important cyclical components. After the contribution of the steady periodic part has been removed, the residual time series are analysed. It is shown that the daily solar irradiance residuals are a first-order autoregressive process while the daily average ambient temperature residuals are a third-order autoregressive process. This is independent of location. These results plus a knowledge of the characteristics of the cyclical components enable one to devise a methodology for generating synthetic series for these variables which are statistically indistinguishable from the original time series. Using this methodology, one can generate input data for models of heat flows in houses or solar hot water systems or other devices.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
