Typical Meteorological Year data: SolarGIS approach

被引：88

作者：

Cebecauer, T. ^{[1
]}

Suri, M. ^{[1
]}

机构：

[1] GeoModel Solar, Bratislava 83102, Slovakia

来源：

INTERNATIONAL CONFERENCE ON CONCENTRATING SOLAR POWER AND CHEMICAL ENERGY SYSTEMS, SOLARPACES 2014 | 2015年 / 69卷

关键词：

Typical Meteorological Year; DNI; GHI; uncertainty; P50; P90;

D O I：

10.1016/j.egypro.2015.03.195

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

We analyze factors to be considered when Typical Meteorological Year (TMY) is constructed from a time series data. We discuss characteristics of the input data (time period, time frequency, quality), calculation methods (weighting of parameters, coherence of parameters, selection criteria) and requirements of the resulting TMY to characterize average solar climate (P50 case) or a year with less-favorable solar resource (P90 or Pxx cases). Overview of the existing methods is presented, with summary of their features, limitations and associated risks. SolarGIS method is presented, which overcomes limitations of the older methods. We explain the underlying concept of uncertainty that is used for calculation of annual P90 or Pxx values for Direct Normal Irradiation (DNI) and Global Horizontal Irradiation (GHI). SolarGIS method fulfills the criteria required in solar industry, such as geographical representativeness, consistency of solar radiation and meteorological parameters, and yields a good representation of the P50, P90 or any other Pxx cases. (C) 2015 The Authors. Published by Elsevier Ltd.

引用

页码：1958 / 1969

页数：12

共 18 条

[11]

Marion W., 1995, Users manual for TMY2s: Derived from the 1961--1990 National Solar Radiation Data Base

[12]

Meyer R, 2009, P SOLARPACES C BERL

[13] Parameterization of site-specific short-term irradiance variability [J].