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Continued page BUILDINGS , TRAFFIC SIGNAL S , Co P calculation we performed for the city especially for this project . A N D S T R E E T L I G H T S Healdsburg is the only city in the county that is part of a Northern California Power Agency municipally-owned electric utility. nterns categorized the electricity and natural gas accounts Unlike electricity, converting natural gas, gasoline and oth ers fuels we received from PG & E so that they could give us the data we needed in a form we could use . Every account was classed to GHG emissions requires no location -specific coefficient. Regard - using three designations : item , facility, and administrative less of where this fuel originates, when it combusts, the proportion - class . In this way, we could determine which accounts applied , ate amount of GHG it yields is fairly standard . Each fuel type has a for example, to buildings, signals, streetlights; etce corresponding emissions coefficiento ty and nat- Strategies to reduce costs and GHG emissions associated with buildings, traffic signals, and street lights include such approaches ural gas use and their corresponding costs—a massive amount of as retrofitting buildings and switching to light emitting diode data . Using a database program we created for this project, this util - traffic signals . ity data was digested into summary reports customized for each city. Our goal in designing the reports was to give cities information that Full report on Electricity and Natural Gas by Edward C . Myers, Provi - enables them to easily pinpoint areas to both lower their utility bills metrics, posted online at www. skymetrics . us and their GHG emissions . GHG emissions associated with buildings, traffic lights and streetlights Windsor Cloverdale Cotati Healdsburg Petaluma Rohnert Park Sebastopol Sonoma Buildings 1532 144 163 246 95 292 1208 141 229 FY 00 - 01 72 301 1276 1696 133 FY 01 - 02 94 88 Lights 965 492 141 146 337 FY 00 -01 87 90 34 129 147 337 FY 01 - 02 94 89 3s 8 63 470MINE MIMI . MEN WATER AND WASTEWATER he water and wastewater analyses done for this project were more extensive than those done for the other sectors . We This project's analysis will transform 6 : :b needed water and wastewater data for the overall commu- the way we look at water, energy, ni in order to derive figures for internal municipal usage . GHG , and costs . The work carries We capitalized on this situation and constructed a comprehensive important implications not only for water and wastewater systems data our energy and water ef- Sonoma County, but also for Cali - c experience enabled us to use the database to produce sb- fornia and the nation . —Michael ficien y p California Direc phisticated information that illuminates ways to reduce water and Stanley - Jones, tor, Clean Water Fund energy use, costs , and GHG emissions . Will To calculate GHG emissions associated with water and wastewater— cisions about water and wastewater systems will have a far greater mostly for powering pumps and treatment—we determined how impact than decisions about water use in municipal facilities . For m y p p example, a decision about replacing an older well pump wit a nev much energy is used to supply water and treat and dispose of waste- water for each city as a whole . Then we determined the portion that high - efficiency pump will have a far greater impact than replacinc is attributable to its municipal operations—administration buildings, . the toilets in City Hall . police and fire stations, and parks . We found, not unexpectedly, that water and wastewater- related emissions for municipal operations We calculated figures for cities' municipal facilities aterusinu Babe for ig are very small compared with those for the entire city. Thus, city de- data because only this city provided records o 9 8