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Are smart grids a smart investment? hourly load analysis of 800,000 utility customers at 200 of the largest us utilities (2009).
| Content Provider | CiteSeerX |
|---|---|
| Author | Jackson, Jerry |
| Abstract | Analysis of comprehensive smart grid technology applications at 200 of the largest US utilities shows potential smart grid savings of 115,145 MegaWatts (MW) with avoided costs of more than $120 billion and net savings after smart grid costs of $48 billion. This study is the first to apply individual utility customer end-use hourly electric loads to evaluate smart grid costs and benefits. Data for more than 800,000 residential and commercial utility customers in the 200 largest US utilities were applied in the study. Studies to date, including a recently released FERC analysis, rely on assumptions about elasticities and electricity pricing to estimate changes in total utility hourly loads or broad customer class aggregate hourly loads. Instead of applying the elasticity/aggregate load approach of previous approaches, this new study applies load control and pricing program impacts directly to individual customer end-use loads such as air conditioning, water heating and so on to determine utility-level impacts. The utility customer hourly load data applied in this study consists of more than 800,000 residential and commercial utility customers records for the 200 utilities. The commercial sector is defined to include commercial, institutional and government utility customers. These utility customer records were drawn from MAISY Utility Customer Hourly Loads Databases. Commercial customers provide about one-quarter of the potential avoided cost savings or $31.7 billion. Individual utility avoided cost savings range from $49 million to more than $5.5 billion. Subracting costs of a comprehensive smart grid deployment provide net savings that range from negative savings to $3.2 billion. Benefits of comprehensive smart grid systems vary widely across utilities even within individual states and depend on a complicated mix of factors including dwelling unit size, age, electric appliance holdings, demographics and so on. Percentage reduction in total residential and commercial coincident peak demand ranges from 16.2 percent for Sierra Pacific Power to |
| File Format | |
| Publisher Date | 2009-01-01 |
| Access Restriction | Open |
| Subject Keyword | Utility Customer Largest U Utility Hourly Load Analysis Smart Investment Smart Grid Smart Grid Cost U Utility Cost Saving Complicated Mix New Study Applies Comprehensive Smart Grid System Broad Customer Class Commercial Sector Total Utility Individual State Unit Size Commercial Customer Government Utility Customer Utility Customer Record Commercial Utility Customer Water Heating Individual Utility Customer Comprehensive Smart Grid Technology Application Hourly Load Commercial Utility Customer Record Commercial Coincident Peak Demand Individual Customer End-use Load Load Data Electricity Pricing Potential Smart Grid Saving Ferc Analysis Individual Utility Net Saving Air Conditioning Negative Saving Sierra Pacific Power Electric Load Electric Appliance Holding Utility-level Impact Previous Approach Load Approach Avoided Cost Pricing Program Percentage Reduction |
| Content Type | Text |
