@InProceedings{SchillingsPePeMeTrRe:2002:HiReSo,
author = "Schillings, Christoph and Pereira, Enio Bueno and Perez, Richard
and Meyer, Richard and Trieb, Franz and Renn{\'e}, Dave",
affiliation = "{Institute of Technical Thermodynamics} and {} and {The University
at Albany (SUNY)} and {Institute of Atmospheric Physics} and
{Institute of Technical Thermodynamics} and {National Renewable
Energy Laboratory (NREL)}",
title = "High resolution solar energy resource assessment within the UNEP
project SWERA",
booktitle = "Proceedings...",
year = "2002",
organization = "World Renewable Energy Congress, 7.",
abstract = "To expand the world wide use of renewable energy a consistent,
reliable, verifiable, and easily accessible database of solar
energy resources is needed. Within the UNEP (United Nations
Environment Programme) project SWERA (Solar and Wind Energy
Resource Assessment, http://swera.unep.net), funded by GEF (Global
Environment Facility), a global database of solar and wind energy
resources will be set up. SWERA will provide, beside the wind
products, global horizontal irradiance, which is mostly used to
plan photovoltaic systems, and direct normal irradiance, which is
needed for solar concentrating systems. For selected countries
throughout the world, additionally high resolution data will be
produced which is required to plan solar energy systems in detail.
Within SWERA, the partners DLR, SUNY and INPE calculate solar
irradiance with high temporal resolution of 1 hour and with a
spatial resolution of 10km x 10km. By processing data from
geostationary satellites we provide solar irradiance data for
Cuba, El Salvador, Honduras, Nicaragua, Guatemala, Brazil, Ghana,
Ethiopia, Kenya, China, Sri Lanka, Nepal, Bangladesh. In this
paper we describe the ongoing work of developing this high
resolution solar irradiance archive and cross-checking of the used
solar irradiance algorithms for various satellite data.",
conference-location = "Cologne, Germany",
conference-year = "29 june - 05 july",
language = "en",
targetfile = "schillings_high.pdf",
urlaccessdate = "11 maio 2024"
}