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CFE 020904
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CFE 020904
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Putting this in context, if everyone in the world consumed like the caused by the oil industry in Ecuador would never be tolerated in <br /> average person in Sonoma County, we would need about four more California . <br /> Earths . In France , the average person consumes 55 percent of the <br /> energy we do, suggesting that we can both reduce our energy con - Security impacts <br /> sumption and preserve or improve our quality . of life . The U . S . dependency on foreign oil is immense; we consume 25 <br /> percent of the world 's oil while owning only 3 percent of global re - <br /> r : <br /> To me the question of the environ - serves . Reducing our dependency will increase our security. <br /> w ment is more ominous than that of <br /> F <br /> peace and war. . . l 'm more worried Although California produces oil—about 300 million barrels per <br /> < " ear—our supply does not keep ace with our appetite . In just a <br /> k y , about global warming than I am Y PP Y P P PP <br /> decade California has increased its reliance on foreign oil from 6 <br /> of any major military conflict. g <br /> —Hans Blix, former U. N. Inspector' in Iraq, March 13, 2003 percent to 31 percent. Of the foreign oil California imported in 2001 , <br /> more than a quarter of it—approximately 15 million barrels--came <br /> Our oil imports cause us to export ecological damage elsewhere . As from Iraq . Between 1980 and 2002 , Californians increased their ve- <br /> an example, California receives from 20 to 40 million barrels of oil hicle miles driven from 88 billion to 173 billion per year. By 2020, <br /> per year from Ecuador. Ironically, the scale of pollution and misery Californian 's demand for oil is expected to increase by 38 percent . <br /> 1 <br /> HOW ARE GREENHOUSE GAS EMISSIONS CALCULATED ? <br /> ome people suppose we take air samples to measure green - Caveat <br /> house gas (GHG) emissions . In fact, cities ' GHG estimates are This is the first time Sonoma cities have calculated their GHG emis- <br /> derived from two main calculations . We total the various sions . The project team relentlessly pursued data to produce solid <br /> forms of energy used to support city operations , either di - results . However, sometimes data was simply unavailable . Cities ' <br /> rectly or indirectly, and convert fuel totals to GHG emissions . We record keeping differed , making cross-city comparisons problem - <br /> ; also estimate any carbon that is sequestered—kept or taken out of atic . If anything , these GHG emission estimates are conservative be - <br /> the atmosphere—by city operations . For municipalities, sequestration cause not all municipal activities were included, for example, travel <br /> primarily occurs when their solid waste is landfilled . to conferences . We aimed for accuracy, but still expect some errors . <br /> As accounting for energy and GHG emission improves, GHG inven - <br /> We selected fiscal year 2000-2001 and fiscal year 2001 -2002 for our in- tory results will also improve . <br /> ventories . We wanted to use the same year—FY 2000- 2001 —as the <br /> County of Sonoma and Santa Rosa used for their inventories . We added Converting energy usage to GHG emissions <br /> the second year to capture the most recent full year of data available . To determine the amount of GHG emissions from electricity, we first <br /> compiled the number of kilowatt- hours ( KWH ) consumed by each <br /> We took several steps to assure the quality of our work . city. Then we multiplied the KWH by an emissions coefficient, a meal- <br /> * We followed the protocols, used the software, and received tech - ure of the GHG produced when electricity is generated . We used the <br /> nical assistance from ICLEI 's Cities for Climate Protection . U . S . Department of Energy 's emissions coefficient specific for Cali - <br /> * Experienced project consultants oversaw and /or implemented in - fornia 's electricity. The result of the multiplication is the pounds equiv- <br /> ventory protocol , data collection, analyses, and report generation , alent carbon dioxide ( lbs eCO2), the standard measure for GHG . <br /> and reviewed each other's work . Both consultants who performed <br /> the inventories for the County of Sonoma and the City of Santa California 's emissions coefficient for our base years was 0 . 73 lbs <br /> Rosa were on our project team . Our SSU interns were very consci - eCO2/KWH , low relative to the rest of the nation because our power <br /> entious . We sought and received advice from SSU professors re - plants use little coal and oil , the fuels that emit the most GHG pol - <br /> garding technical questions . lution . The coefficient for the City of Healdsburg is lower still because <br /> * Accounting staff in the subject cities checked the results of the elec- most of its power comes from the local geothermal source known <br /> tricity and natural gas analyses for their cities . as the Geysers, and from hydroelectric sources . The emission coeffi - <br /> * We compared cities ' results to each other to reveal and correct cient for Healdsburg 's electricity is about 0 . 3 lbs eCO2 / KWH , a <br /> data anomalies . continued on page 8 <br /> 7 <br /> _ . I <br />
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