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TRNSCLIMA Time Series of Meteorological Data for System Simulation Region: Iberia Version 1.0 TRNSCLIMA

Overview: 

Overview People involved in numerical system simulation, e.g. with TRNSYS, often require hourly time series of meteorological data for a specific place as input. TRNSCLIMA provides Typical Year and Extreme Year time series data for solar irradiation (direct and diffuse components) ambient temperature ambient humidity wind intensity and direction adequate for thermal simulation of buildings and solar energy systems, as well as for simulation of numerous other devices and analysis of problems in such fields as agronomy, forestal fires or corrosion of weather-exposed materials. The area surveyed at present is Iberia. Time series data in two formats for 113 sites are stored in the CD. They may be accessed directly, or interactively via an user friendly HTML interface.

Locations: 

Locations (+ Las Palmas and Casablanca)

Data preparation - IClimatic Data : 

Data preparation - I Climatic Data The data set must be both representative of long term conditions coherent in time and space for the entire area cross-correlated as regards irradiation, temperature and humidity This constrains very much the possible approaches. The approach taken was to use ground data only and solar irradiation data H was estimated from sunshine hours S. Long term data from Portugal, Spain and some other territories was obtained, quality controlled and additional parameters were estimated. Data sources were mainly publications regarding 1961-90 records of the classic meteorological networks of ground stations, by the Spanish national meteorological service (INM) the Portuguese national meteorological service (IM) the Catalan Energy Agency (ICAEN)

Data preparation - IClimatic Data : 

Data preparation - I Climatic Data The Suehrcke methodology was used H = (S/S0)1/2 Hcs In comparison with the better known Angstrom linear regression H = [a + b (S/S0) ] H0 it features similar bias and lower rms errors it does not need preliminar studies to find coeffs. a and b it does not need geographical extrapolation of a and b values requires clear sky irradiation Hcs estimates The European Solar Radiation Atlas clear sky irradiation model was used. It requires estimates of only one parameter, TL2, the Linke turbidity coeff. for airmass 2. Following validation studies, seasonal profiles of TL2 were assigned for the region surveyed. The irradiation estimates were verified and cross-checked with ground data and remote sensing data with good results.

Data preparation - IIAssembling Typical Years: 

Data preparation - II Assembling Typical Years A variation of the technique of the "Typical Reference Year“ approach is used. Classic Typical Years are assembled from a pool of recorded data. But records of long time series hourly data are very rare indeed, especially if solar irradiation is involved. Also they span small periods, and there are other problems. Typical Years can also be assembled using statistical and stochastic models of the meteorological time series. They require as input only long term monthly data (and as explained before). Well known published statistical and stochastic models, tuned for the region surveyed, were used; a cascade of models leads from monthly to daily to hourly values daily and hourly variability are included diffuse irradiation is estimated with models tunned for Iberia cross-correlations for solar irradiation and thermal amplitude are included wind speed patterns are very sensitive to location and microclimates (including urban); the series provided should be considered only as indicative.

Data preparation - IIIAssembling Extreme Years : 

Data preparation - III Assembling Extreme Years As a bonus from the procedures used, Extreme Years are provided, for conditions departing from the long term behaviour, enabling users to address issues like interannual variability climate change in general, sizing for extreme conditions during system lifetime For systems sensitive to both solar irradiation and ambient temperature, the joint probability of occurrence of monthly mean values of these parameters should be considered. As there are many system types it is impracticable to supply a huge number of extreme years, and some choice must be made. In the current product version a pair of high / low threshold Extreme Years is provided for each site equal system sensitivity to solar irradiation and temperature is assumed joint 25-year return period monthly means of higher / lower values were estimated (in a studied proportion to the standard deviations of the monthly values)

Data Formats: 

Data Formats The data is supplied in TRNSYS Type 89 compatible format: The data is supplied as well in the European TRY format. An user friendly HTML interface is also provided to facilitate examination of the climatology and retrieving of Typical Year and Extreme Year data

In Conclusion...: 

In Conclusion... Thus the TRNSCLIMA main features are no missing data or spurious values additional parameters (e.g. direct/diffuse irradiation components) monthly statistics exactly match long term climatic values reproduces those weather features that the systems really ‘feel’ both Typical and Extreme years, useful for design and sizing high spatial resolution (indeed, for the largest majority of the sites in the data bank there is simply no alternative adequate hourly data source!) easy access, high compatibility Extension to other geographical areas is in view.

FOR FURTHER INFORMATION: 

FOR FURTHER INFORMATION E-mail: trnsys@aiguasol.com http://www.aiguasol.com Address: AIGUASOL ENGINYERIA C/ Palau, 4, 2n 2a E-08002 BARCELONA Spain Tel: + 34 93 342 47 55 Fax: + 34 93 342 47 56  @