Data reader - Revision history

Jpye: /* File formats */

2012-04-18T19:45:29Z

File formats

← Older revision		Revision as of 19:45, 18 April 2012
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	At this point, the following file formats are supported:		At this point, the following file formats are supported:

			* TMY3 weather data files<ref>NREL, 2008, ''National Solar Radiation Data Base 1991- 2005 Update: Typical Meteorological Year 3'', http://rredc.nrel.gov/solar/old_data/nsrdb/1991-2005/, accessed 18 Apr 2012.</ref> from NREL
	* TMY2 weather data files<ref>NREL, 1995, ''User's Manual for TMY2s: Typical Meteorological Years'', http://rredc.nrel.gov/solar/old_data/nsrdb/1961-1990/tmy2/, accessed 18 Apr 2012.</ref> from NREL		* TMY2 weather data files<ref>NREL, 1995, ''User's Manual for TMY2s: Typical Meteorological Years'', http://rredc.nrel.gov/solar/old_data/nsrdb/1961-1990/tmy2/, accessed 18 Apr 2012.</ref> from NREL
	* ACDB Australian Climate Data Bank files (see {{src\|models/johnpye/datareader/acdb.c}} for more information).		* ACDB Australian Climate Data Bank files (see {{src\|models/johnpye/datareader/acdb.c}} for more information).

Jpye: /* File formats */

2012-04-18T19:43:14Z

File formats

← Older revision		Revision as of 19:43, 18 April 2012
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	At this point, the following file formats are supported:		At this point, the following file formats are supported:

	* TMY2 weather data files, ~~(as [~~http://rredc.nrel.gov/solar/old_data/nsrdb/tmy2/ ~~described] by~~ NREL)		* TMY2 weather data files<ref>NREL, 1995, ''User's Manual for TMY2s: Typical Meteorological Years'', http://rredc.nrel.gov/solar/old_data/nsrdb/1961-1990/tmy2/, accessed 18 Apr 2012.</ref> from NREL
	* ACDB Australian Climate Data Bank files (see {{src\|models/johnpye/datareader/acdb.c}} for more information).		* ACDB Australian Climate Data Bank files (see {{src\|models/johnpye/datareader/acdb.c}} for more information).
	* [[#CSV format\|CSV]] (comma-separated values, as exported from Excel and OpenOffice and many other programs). There are some important limitations on what can be done using CSV files, see [[#CSV format]] below for details.		* [[#CSV format\|CSV]] (comma-separated values, as exported from Excel and OpenOffice and many other programs). There are some important limitations on what can be done using CSV files, see [[#CSV format]] below for details.

Jpye at 21:33, 17 April 2012

2012-04-17T21:33:23Z

← Older revision		Revision as of 21:33, 17 April 2012
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	See {{src\|models/johnpye/datareader/ee.c}} and {{src\|models/johnpye/datareader/energyplus.a4c}}, {{bug\|512}}.		See {{src\|models/johnpye/datareader/ee.c}} and {{src\|models/johnpye/datareader/energyplus.a4c}}, {{bug\|512}}.

			==References==
			<references/>

	==See also==		==See also==
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	* A CSV file example {{srcbranch\|jose\|models/johnpye/datareader/testcsv.a4c}}		* A CSV file example {{srcbranch\|jose\|models/johnpye/datareader/testcsv.a4c}}
	* [[Other modelling tools#TRNSYS\|TRNSYS]].		* [[Other modelling tools#TRNSYS\|TRNSYS]].

	~~==References==~~
	~~<references/>~~

	[[Category:Experimental]]		[[Category:Experimental]]

Jpye: /* Format */

2012-04-17T21:31:07Z

Format

← Older revision		Revision as of 21:31, 17 April 2012
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	====Format====		====Format====

	The format that the file has been written in is declared by assigning the format name (e.g 'TMY2', 'ACDB') to the <tt>format</tt> variable of the <tt>drconf</tt> model.		The format that the file has been written in is declared by assigning the format name (e.g 'TMY2', 'ACDB') to the <tt>format</tt> variable of the <tt>drconf</tt> model. The permitted formats are seen in the <tt>#define FMTS</tt> line of {{src\|models/johnpye/datareader/dr.c}}.

	====Parameters====		====Parameters====

Jpye: /* See also */

2012-04-17T21:27:41Z

Jpye at 21:26, 17 April 2012

2012-04-17T21:26:40Z

← Older revision		Revision as of 21:26, 17 April 2012
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	* Linear interpolation		* Linear interpolation
	* Constrained cubic-spline interpolation ([http://www.korf.co.uk/~~util_2~~.~~html more information])~~		* Constrained cubic-spline interpolation<ref>C J C Kruger, 2002, ''Constrained Cubic Spline Interpolation for Chemical Engineering Applications'', http://www.korf.co.uk/spline.pdf, accessed 17 Apr 2012</ref>

	By default, the cubic spline method is used, due to its overall smoothness, especially in the vicinity of a data sample. See more information about usage in the [[#Parameters\|Parameters Syntax]]		By default, the cubic spline method is used, due to its overall smoothness, especially in the vicinity of a data sample. See more information about usage in the [[#Parameters\|Parameters Syntax]]

Jpye: /* Further Work */

2012-04-17T19:40:49Z

Further Work

← Older revision		Revision as of 19:40, 17 April 2012
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	==Further Work==		==Further Work==

	A significant concern with the current data reader as applied to solar radiation data is that normally data files such as TMY3 format have total solar radiation over the preceeding hour, together with instantaneous temperature and pressures, etc. If we interpolate, for example using constrained cubic interpolation, from that data, there is no guarantee that the integral of the solar energy will equal the value reported from the weather data. One solution to this is offered by Rymes and Myers<ref>M D Rymes and D R Myers, 2001. Mean preserving algorithm for smoothly interpolating averaged data, ''Solar Energy'' '''71''' pp225–231 {{doi\|10.1016/S0038-092X(01)00052-4}}.</ref>		A significant concern with the current data reader as applied to solar radiation data is that normally data files such as TMY3 format have total solar radiation over the preceeding hour, together with instantaneous temperature and pressures, etc. If we interpolate, for example using constrained cubic interpolation, from that data, there is no guarantee that the integral of the solar energy will equal the value reported from the weather data. One solution to this is offered by Rymes and Myers<ref>M D Rymes and D R Myers, 2001. Mean preserving algorithm for smoothly interpolating averaged data, ''Solar Energy'' '''71''' pp225–231 {{doi\|10.1016/S0038-092X(01)00052-4}}.</ref>, which may be suitable for implementation in our data reader.

	We plan to take this further by connecting the data reader with a sun position algorithm, because it is important when interpolating values of solar flux to take into accord the time when the sun rises and sets (see [[calculation of sun position]]). This algorithm should become available as an interpolation option.		We plan to take this further by connecting the data reader with a sun position algorithm, because it is important when interpolating values of solar flux to take into accord the time when the sun rises and sets (see [[calculation of sun position]]). This algorithm should become available as an interpolation option.

Jpye: /* Further Work */

2012-04-17T19:40:19Z

Further Work

← Older revision		Revision as of 19:40, 17 April 2012
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	==Further Work==		==Further Work==

	A significant concern with the current data reader as applied to solar radiation data is that normally data files such as TMY3 format have total solar radiation over the preceeding hour, together with instantaneous temperature and pressures, etc. If we interpolate, for example using constrained cubic interpolation, from that data, there is no guarantee that the integral of the solar energy will equal the value reported from the weather data. One solution to this is offered by Rymes and Myers<ref>M D Rymes and D R Myers, 2001. Mean preserving algorithm for smoothly interpolating averaged data, ''Solar Energy'' '''71''' pp225–231.</ref>		A significant concern with the current data reader as applied to solar radiation data is that normally data files such as TMY3 format have total solar radiation over the preceeding hour, together with instantaneous temperature and pressures, etc. If we interpolate, for example using constrained cubic interpolation, from that data, there is no guarantee that the integral of the solar energy will equal the value reported from the weather data. One solution to this is offered by Rymes and Myers<ref>M D Rymes and D R Myers, 2001. Mean preserving algorithm for smoothly interpolating averaged data, ''Solar Energy'' '''71''' pp225–231 {{doi\|10.1016/S0038-092X(01)00052-4}}.</ref>

	We plan to take this further by connecting the data reader with a sun position algorithm, because it is important when interpolating values of solar flux to take into accord the time when the sun rises and sets (see [[calculation of sun position]]). This algorithm should become available as an interpolation option.		We plan to take this further by connecting the data reader with a sun position algorithm, because it is important when interpolating values of solar flux to take into accord the time when the sun rises and sets (see [[calculation of sun position]]). This algorithm should become available as an interpolation option.

Jpye: /* Further Work */

2012-04-17T19:39:39Z

Further Work

← Older revision		Revision as of 19:39, 17 April 2012
Line 113:		Line 113:

	==Further Work==		==Further Work==

			A significant concern with the current data reader as applied to solar radiation data is that normally data files such as TMY3 format have total solar radiation over the preceeding hour, together with instantaneous temperature and pressures, etc. If we interpolate, for example using constrained cubic interpolation, from that data, there is no guarantee that the integral of the solar energy will equal the value reported from the weather data. One solution to this is offered by Rymes and Myers<ref>M D Rymes and D R Myers, 2001. Mean preserving algorithm for smoothly interpolating averaged data, ''Solar Energy'' '''71''' pp225–231.</ref>

	We plan to take this further by connecting the data reader with a sun position algorithm, because it is important when interpolating values of solar flux to take into accord the time when the sun rises and sets (see [[calculation of sun position]]). This algorithm should become available as an interpolation option.		We plan to take this further by connecting the data reader with a sun position algorithm, because it is important when interpolating values of solar flux to take into accord the time when the sun rises and sets (see [[calculation of sun position]]). This algorithm should become available as an interpolation option.

Jpye: /* See also */

2012-04-17T19:34:37Z

← Older revision		Revision as of 21:27, 17 April 2012
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	* The {{srcdir\|models/johnpye/datareader/}} directory in the [[ModelLibrary]].		* The {{srcdir\|models/johnpye/datareader/}} directory in the [[ModelLibrary]].
	* Recent improvements by [[Jose Zapata]] in {{~~srcbranch~~\|jose\|models/johnpye/datareader}}		* Recent improvements by [[Jose Zapata]] in {{srcbranchdir\|jose\|models/johnpye/datareader}}
	* A CSV file example {{srcbranch\|jose\|models/johnpye/datareader/testcsv.a4c}}		* A CSV file example {{srcbranch\|jose\|models/johnpye/datareader/testcsv.a4c}}
	* [[Other modelling tools#TRNSYS\|TRNSYS]].		* [[Other modelling tools#TRNSYS\|TRNSYS]].

← Older revision		Revision as of 19:34, 17 April 2012
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	* A CSV file example {{srcbranch\|jose\|models/johnpye/datareader/testcsv.a4c}}		* A CSV file example {{srcbranch\|jose\|models/johnpye/datareader/testcsv.a4c}}
	* [[Other modelling tools#TRNSYS\|TRNSYS]].		* [[Other modelling tools#TRNSYS\|TRNSYS]].

			==References==
			<references/>

	[[Category:Experimental]]		[[Category:Experimental]]