Modeling hourly electricity dynamics for policy making in long-term scenarios
作者： André Pina , Carlos Silva , Paulo Ferrão , None
DOI: 10.1016/J.ENPOL.2011.06.062
关键词:
摘要: Abstract Energy policies are often related to the global effort in reducing greenhouse gas emissions through increased use of renewable energies electricity production. The impact these is usually calculated by energy planning tools. However, modeling methodologies most currently used not adequate simulate long-term scenarios while considering hourly dynamics supply and demand. This paper presents an extension TIMES tool for investment decisions production that considers seasonal, daily demand dynamics. inclusion enables model produce more accurate results what concerns introducing efficiency energies. was validated Sao Miguel (Azores, Portugal) years 2006–2009, where a comparison with real data showed can Further, analysis shows contributes better assessment potential, suggests postponement investments new generation capacity, demonstrates using fine time resolution very valuable design effective policy measures under high penetration systems.
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