scholarly journals Weather data analysis in energy simulation

Author(s):  
Yu Ying Wang ◽  
Chun Yin Siu ◽  
Zaiyi Liao
Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4115 ◽  
Author(s):  
Vincenzo Costanzo ◽  
Gianpiero Evola ◽  
Marco Infantone ◽  
Luigi Marletta

Building energy simulations are normally run through Typical Weather Years (TWYs) that reflect the average trend of local long-term weather data. This paper presents a research aimed at generating updated typical weather files for the city of Catania (Italy), based on 18 years of records (2002–2019) from a local weather station. The paper reports on the statistical analysis of the main recorded variables, and discusses the difference with the data included in a weather file currently available for the same location based on measurements taken before the 1970s but still used in dynamic energy simulation tools. The discussion also includes a further weather file, made available by the Italian Thermotechnical Committee (CTI) in 2015 and built upon the data registered by the same weather station but covering a much shorter period. Three new TWYs are then developed starting from the recent data, according to well-established procedures reported by ASHRAE and ISO standards. The paper discusses the influence of the updated TWYs on the results of building energy simulations for a typical residential building, showing that the cooling and heating demand can differ by 50% or even 65% from the simulations based on the outdated weather file.


Author(s):  
Mohammed Adam Ibrahim Fakherldin ◽  
Khalid Adam ◽  
Noor Akma Abu Bakar ◽  
Mazlina Abdul Majid
Keyword(s):  

Author(s):  
Sahibzada Muhammad Ali ◽  
Chaudhary Arshad Mehmood ◽  
Ahsan Khawja ◽  
Rahat Nasim ◽  
Muhamtnad Jawad ◽  
...  

2021 ◽  
Vol 9 (1) ◽  
pp. 01-10
Author(s):  
André Rodrigue Tchamda ◽  
Merlain Boris Djousse K. ◽  
Anselme Maffo Koumetio ◽  
Mathias Fru Fonteh ◽  
François Becau Pelap ◽  
...  

This document presents the design of a prototype of a low-cost personal weather station suitable for farmers in rural areas who are or may not be engaged in rudimentary agriculture. This prototype measure several weather data: temperature, relative humidity, wind speed, wind direction, rainfall. For further data analysis, these are transmitted for recording to a remote server via wireless communication. The server offers data extraction possibilities in multiple file formats. A prototyping of the personal weather station is designed and commissioned. An extract of the results over two days is presented in the results section of this document


2020 ◽  
Vol 206 ◽  
pp. 109556 ◽  
Author(s):  
João Bravo Dias ◽  
Guilherme Carrilho da Graça ◽  
Pedro M.M. Soares

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