Konferensartikel

New Software for Generation of Typical Meteorological Year

Abdulsalam Ebrahimpour
Departament of Mechanical Engineering, Islamic Azad University, Iran

Ladda ner artikelhttp://dx.doi.org/10.3384/ecp110572049

Ingår i: World Renewable Energy Congress - Sweden; 8-13 May; 2011; Linköping; Sweden

Linköping Electronic Conference Proceedings 57:40, s. 2049-2055

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Publicerad: 2011-11-03

ISBN: 978-91-7393-070-3

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

The correct selecting of typical meteorological year is an important factor for accurate building energy simulation. In this study; the Sandia method has been applied to prepare the new TmyCreator software for selecting the proper data as the typical meteorological year (Tmy2). Also; the results of this new software have been compared with the available Tmy2 weather data file for two cities. It is found that; the results of TmyCreator software have good agreement with the old created Tmy2 weather data file for these cities.

Nyckelord

Typical meteorological year; Building energy simulations; Finkelstein–Schafer statistics

Referenser

[1] Crawley D; Hand J; Lawrie L. Improving the weather information available to simulation programs. Washington; DC: US Department of Energy.

[2] L.S. Chan; T.T. Chow; K.F. Fong and Z. Lin; Generation of a typical meteorological year for Hong Kong; Energy Conversion and management;47 (2006); pp. 87–96. doi: 10.1016/j.enconman.2005.02.010.

[3] A. Kalogirou; Generation of typical meteorological year (Tmy2) for Nicosia; Cyprus; Renewable Energy; 28 (2003); pp. 2317–2334. doi: 10.1016/S0960-1481(03)00131-9.

[4] C. Lam; C.M. Hui and L.S. Chan; A statistical approach to the development of a typical meteorological year for Hong Kong; Architectural Science Review; 39 (1986); pp. 201–209.

[5] Zhang Qingyuan; Joe Huang; Lang Siwei. Development of Chinese weather data for building energy calculations. In: 4th International conference on indoor air quality; ventilation and energy conservation in buildings; Changsha; Hunan; China; 2–5 October; 2001. p. 1211.

[6] Anderson TN; Duke M; Carson JK. A typical meteorological year for energy simulations in Hamilton; New Zealand. IPENZ engineering treNz 2007-003; ISSN 1177-0422.

[7] A .Ebrahimpour; M. Maerefat; A method for generation of typical meteorological year; Energy Conversion and Management; 51(2010); pp. 410–417 doi: 10.1016/j.enconman.2009.10.002.

[8] J.M. Finkelstein and R.E. Schafer; Improved goodness-of-fit tests; Biometrika 58 (3) (1971); pp. 641–645. doi: 10.1093/biomet/58.3.641.

[9] Hall I; Prairie R; Anderson H; Boes E. Generation of typical meteorological years for 26 SOLMET stations; SAND78-1601. Albuquerque; NM: Sandia National Laboratories; 1978.

[10] Marrion William; Urban Ken. User’s manual for Tmy2s typical meteorological years. National Renewable Energy Laboratory; US Department of Energy; 1995.

[11] EnergyPlus documentation; software. .

[12] J.A. Duffie and W.A. Beckman; Solar energy of thermal processes; John Wiley; New York (1980).

[13] The Climate Consultant [version 5] software [http://www.energy-design-tools.aud.ucla.edu]

[14] The HEED (Home Energy Efficient Design; http://www.energy-design-tools.aud.ucla.edu/heed/)

[15] The eQUEST (Quick Energy Simulation Tool; http://www.doe2.com) software

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