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Activity Relationships

Activity Relationships Adam Shaw & Sarah Lahr ME 449 - Sustainable Air Quality Submitted to Professor Husar Class Project 2/29/02 Project Overview Activity Consumption Production Emission I ndustrial Ind. Energy Metals SOx T ransport Tr. Energy Coal NOx R esidential Res.Energy

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Activity Relationships

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  1. Activity Relationships Adam Shaw & Sarah Lahr ME 449 - Sustainable Air Quality Submitted to Professor Husar Class Project 2/29/02

  2. Project Overview Activity Consumption Production Emission Industrial Ind. Energy Metals SOx Transport Tr. Energy Coal NOx Residential Res.Energy Oil HC Commmerc. Com. Energy Gas PM Electricity Our focus within this project is the Activities (measured indices that can be used to measure energy usage) within the different categories: Transportation, Residential, CommercialandIndustrial.

  3. Transportation Activity for the transportation sector can be easily measured using the available data. Collected data includes highway vehicle miles and passenger miles, ton-freight miles on U.S. highways as well as airline plane-miles and passenger miles. Some data for highway passenger miles and airline passenger miles was interpolated, assuming a linear interpolation. Data for railroad and marine vessel travel is available but is insignificant compared to airline and road travel.

  4. Residential Activity indicators for the residential sector includes both economic and physical drivers. Available information includes the gross housing product and the number of occupied homes for each year. It was necessary to interpolate the data for the number of occupied homes, and a linear interpolation was assumed. We are still looking for more complete data for a physical activity indicator, such as the square feet of residential space for each year.

  5. Commercial The available data for the commercial sector deals mainly with economic activity. Collected economic data includes total final sales for each year (both actual and real), as well as the total sales of consumer durable goods. We are still looking for an accurate physical relationship, but we do have data on total new car sales to serve as a physical basis. New car sales represent a significant portion of commercial activity and can serve as a realistic indicator until an indicator that represents the entire sector is found.

  6. Industrial Data for the industrial sector dealt with economic relationships. Economic data that was collected includes the total GDP of private industries, as well as its percentage relationship to the total GDP. The Manufacturing industry is by far the largest individual industry, and therefore the GDP of the manufacturing industry is also an accurate economic activity measurment. Since motor vehicle production is a major driver of the manufacturing industry, the number of new cars produced in each year is a reasonable physical driver to measure the activity of the industrial sector. Data for industries other than manufacturing is also available and can be accessed as needed to better understand activity levels in the industrial sector.

  7. Summary • Where we still need to go? • Better data regarding physical drivers for the residential, industrial, and commercial sectors. • More Commercial data • Adjust economic data to same base value (ex. actual value, real value, chained dollars). We have collected the necessary GDP data for these adjustments. • Collect data as needed regarding particular industries and drivers, or any topic that may help create a relationship with the data found by other members of the class.

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