Trade-off analysis for electric power planning in New England : a methodology for dealing with uncertain futures
The use of a multi-attribute trade-off analysis technique as a vehicle to provide information to a diverse group of electric industry interests can play a beneficial role for developing long-range strategies for the electric power sector. The advisory group/analysis team structure presented here all...
| Main Authors: | , , |
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Cambridge, Mass. : Massachusetts Institute of Technology, 1989
2011
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| Online Access: | http://hdl.handle.net/1721.1/60613 |
| _version_ | 1810994968608636928 |
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| author | Connors, Stephen R. Tabors, Richard D. White, David C. |
| author_facet | Connors, Stephen R. Tabors, Richard D. White, David C. |
| author_sort | Connors, Stephen R. |
| collection | MIT |
| description | The use of a multi-attribute trade-off analysis technique as a vehicle to provide information to a diverse group of electric industry interests can play a beneficial role for developing long-range strategies for the electric power sector. The advisory group/analysis team structure presented here allows different groups to evaluate multiple issues simultaneously, incorporating the range of supply and demand options, and future uncertainties characteristic of complex systems. |
| first_indexed | 2024-09-23T13:49:48Z |
| id | mit-1721.1/60613 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T13:49:48Z |
| publishDate | 2011 |
| publisher | Cambridge, Mass. : Massachusetts Institute of Technology, 1989 |
| record_format | dspace |
| spelling | mit-1721.1/606132019-04-11T01:25:34Z Trade-off analysis for electric power planning in New England : a methodology for dealing with uncertain futures Tradeoff analysis for electric power planning in New England Connors, Stephen R. Tabors, Richard D. White, David C. The use of a multi-attribute trade-off analysis technique as a vehicle to provide information to a diverse group of electric industry interests can play a beneficial role for developing long-range strategies for the electric power sector. The advisory group/analysis team structure presented here allows different groups to evaluate multiple issues simultaneously, incorporating the range of supply and demand options, and future uncertainties characteristic of complex systems. The initial phase of such an Integrated Resource Planning project for New England electric power industry has identified that: significant gains in the areas of reliability and environmental emissions can be made by the introduction of new generating technologies; the recent emphasis on natural gas fired technologies should be matched by an effort to ensure adequate supplies of gas, and other effort to guard against fuel related vulnerabilities. 2011-01-14T23:20:58Z 2011-01-14T23:20:58Z 1989 http://hdl.handle.net/1721.1/60613 23447379 Energy Laboratory report (Massachusetts Institute of Technology. Energy Laboratory) no. MIT-EL 89-004. Series in multi-attribute planning for electric utilities ; v. 1. 30 p application/pdf Cambridge, Mass. : Massachusetts Institute of Technology, 1989 |
| spellingShingle | Connors, Stephen R. Tabors, Richard D. White, David C. Trade-off analysis for electric power planning in New England : a methodology for dealing with uncertain futures |
| title | Trade-off analysis for electric power planning in New England : a methodology for dealing with uncertain futures |
| title_full | Trade-off analysis for electric power planning in New England : a methodology for dealing with uncertain futures |
| title_fullStr | Trade-off analysis for electric power planning in New England : a methodology for dealing with uncertain futures |
| title_full_unstemmed | Trade-off analysis for electric power planning in New England : a methodology for dealing with uncertain futures |
| title_short | Trade-off analysis for electric power planning in New England : a methodology for dealing with uncertain futures |
| title_sort | trade off analysis for electric power planning in new england a methodology for dealing with uncertain futures |
| url | http://hdl.handle.net/1721.1/60613 |
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