000			03848nam a2200385 4500
005			20260817173422.0
008			280998s1985 th r 0000|0 eng d
035			_a.b10151710
099		9	_aAIT Thesis no.ET-85-16
100	2		_aDe Silva, Induruwage Prabhath Darshana
245	1	0	_aComparison and application of simplified simulation procedures for solar heating systems
260			_aBangkok : _bAsian Institute of Technology, _c1985
300			_a119 p.
490	1		_aThesis ; _vno. ET-85-16
500			_aA thesis submitted in partial fulfillment of requirements for the degree of Master of Engineering, School of Environment, Resources and Development
502			_aThesis (M.Eng.) - Asian Institute of Technology, 1985
520			_aSinusoidal representation of the monthly mean diurnal variation of solar radiation for both horizonal and for equator facing tilted surfaces is proposed. The sinusoidal functions so constructed are found to give very good agreement with the empirical correlations suggested by Collares-Pareira and Rabl, from actual data. Consequently, the necessity of using complex correlations for transforming horizontal radiation onto tilted surfaces is reduced. Also a new procedure to determine the optimum angle of equator facing tilted collectors has been proposed, which can be applied to any time periods. (month, season of year) The single equation suggested, fits very well with the recommendation given by Evans. For widespread applications of solar energy, it is essential to have design methods by which solar energy installations can be sized rationally with a minimum of computational effort and expense. Though several such design methods have already been proposed, they are either system or load specific and cannot be used as versatile design methods. Two new methods, namely MIRA developed by Reddy and TMD Proposed by Feuermann et al. are presented, Compared and analysed for a wide range of system configurations and load patterns with existing radiation data for Bangkok. The predictions by both these methods are in good agreement with the hour by hour detailed simulation over the total time period and also with those of the o-f Chart method. For an example, in the hot water load considered in RUN 1, MIRA is within 2% of detailed simulation results and TMU is within about 4% but these figures change with the different input parameters. The methods require very little computational effort and data base as compared to standard detailed hour by hour computer simulation, while at the same time yielding the relevant system performance data required for solar system sizing. For certain RUNS, detailed simulation consumed about 60 times more CPU time, than TMD and MIRA do. The applications and the reliability for various input parameters (like storage volume, diurnal load pattern etc.) are also discussed
650		0	_aSolar heating _xSimulation methods
700	1		_aReddy, T. A., _eChairperson
700	0		_aPrida Wibulswas, _eExamination Committee
700	1		_aLasnier, France, _eExamination Committee
710	2		_aCanadian International Development Authority
810	2		_aAsian Institute of Technology. _tThesis ; _vno. ET-85-16
856			_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B19998
907			_a.b10151710 _bmnait _cx
902			_a240411
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909			_aBarcode : 30050120679104 _bCREATED : 2014-12-02 _cRECORD # : i12762453 _dLPATRON : 0 _eLCHKIN : - _f# RENEWALS : 0 _g# OVERDUE : 0 _hIUSE3 : 0 _iTOT CHKOUT : 0 _jTOT RENEW : 0
909			_aBarcode : 30050120353114 _bCREATED : 2016-06-15 _cRECORD # : i13038941 _dLPATRON : 0 _eLCHKIN : - _f# RENEWALS : 0 _g# OVERDUE : 0 _hIUSE3 : 0 _iTOT CHKOUT : 0 _jTOT RENEW : 0
999			_c19848 _d19848