Assessing long-term incentive programs for implementing wind power in Brazil using GIS rule-based methods

被引:23
作者
Dutra, Ricardo [1 ]
Szklo, Alexandre [2 ]
机构
[1] CEPEL, Elect Power Res Ctr, Head Off, BR-21944970 Rio De Janeiro, Brazil
[2] Univ Fed Rio de Janeiro, Grad Sch Engn, Energy Planning Program, Ctr Tecnol, BR-21941972 Rio De Janeiro, Brazil
关键词
wind power; incentive policies; Brazil; GIS modeling;
D O I
10.1016/j.renene.2008.02.017
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Brazil's wind power potential is impressive. The incentive policies that have being implemented in the country, since the last decade, promoted the implementation of some projects, mainly through the Alternative Energy Sources Incentive Program (PROINFA), which started in 2002. After the first phase of PROINFA, the sector in Brazil is stilt waiting for a new long-term program. By applying a GIS model to the available wind database, this paper evaluates three long-term incentive programs to wind power in Brazil, according to specific targets and criterion. The first target was to reduce the emissions greenhouse gases from the electricity generation, through the replacement of fossil fuels fired thermal plants. In this case, an incentive program based on quotes and permits would install a wind capacity hovering between 18.7 and 28.9GW. For the target of optimizing the operation of Brazil's hydropower reservoirs, a program based on feed-in tariffs would result in the installed capacity of 15.5-65.4 GW, depending on the criterion for selecting the projects. Finally, considering only the target of fostering a domestic wind technology industry, the installed capacity would vary between 29.1 and 217.1, depending on the criterion for selecting the projects. (c) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2507 / 2515
页数:9
相关论文
共 71 条
[51]   ACCURACY OF LANDSAT-TM AND GIS RULE-BASED METHODS FOR FOREST WETLAND CLASSIFICATION IN MAINE [J].
SADER, SA ;
AHL, D ;
LIOU, WS .
REMOTE SENSING OF ENVIRONMENT, 1995, 53 (03) :133-144
[52]  
SCHAEFER R, 2004, ENERGETICA BRASILEIR
[53]   Future electric power technology choices of Brazil: a possible conflict between local pollution and global climate change [J].
Schaeffer, R ;
Szklo, AS .
ENERGY POLICY, 2001, 29 (05) :355-369
[54]  
SIEG K, 2006, NEW ENERGY MAY
[55]  
Sijm J, 2002, ECNC02083
[56]  
SILVA NF, 2005, RENEW SUST ENERG REV, V9, P289
[57]   GIS tools for renewable energy modelling [J].
Sorensen, B ;
Meibom, P .
RENEWABLE ENERGY, 1999, 16 (1-4) :1262-1267
[58]  
Storck P, 1998, HYDROL PROCESS, V12, P889, DOI 10.1002/(SICI)1099-1085(199805)12:6&lt
[59]  
889::AID-HYP661&gt
[60]  
3.0.CO