PERÃ - Observatory for Renewable Energy in Latin America and
PERÃ - Observatory for Renewable Energy in Latin America and
PERÃ - Observatory for Renewable Energy in Latin America and
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<br />
Perú- Products I <strong>and</strong> II<br />
<br />
fermentation, due to the poor work of genetic improvement <strong>and</strong> cattle<br />
productivity. See Graphic Nº 20.<br />
Graphic N° 20: Percentage Distribution of Total GHG Emissions by Category<br />
For 2009, the CO 2 emissions from the use of the different commercial energy<br />
sources 22 , climbed to 26,9 million tons, where the use of liquid hydrocarbons<br />
generated the highest quantity of emissions represent<strong>in</strong>g 87 % of the total. In<br />
order to determ<strong>in</strong>e these emissions it has been used the technologies method of<br />
the Intergovernmental Panel on Climate Change (IPCC), that he is based on the<br />
emissions calculation by contam<strong>in</strong>ant, accord<strong>in</strong>g to the request variables: <strong>Energy</strong><br />
source <strong>and</strong> energetic activity used <strong>in</strong> the process. (MEM, 2009a). See Graphic Nº<br />
21.<br />
Graphic N° 21: CO 2 Emissions Generated by the F<strong>in</strong>al Consumption of Commercial <strong>Energy</strong><br />
<br />
2 There are not considered emissions generated <strong>for</strong> non commercial sources like firewood, dung, <br />
yareta, <strong>and</strong> charcoal. <br />
31