AI SearchDevelopment of a quantitative model for thermal electric power generating system planning
Call Number: AIT Thesis no. 785 Material type:
TextSeries: Asian Institute of Technology. Thesis ; no. 785Publication details: Bangkok : Asian Institute of Technology, 1974Description: 49 pSubject(s): Online resources: Summary: This study deals primarily with the problem of planning a new thermal electric power generating system. The planning objective for the electricity generating system is to choose the new installation so as to minimize the total discounted costs over a given period of years. It is assumed that the generating plants are fully integrated and the installation decisions will take place annually and all new plants will come on power at the beginning of the year. The optimum installed capacity in each year and the best types of units to be installed are calculated by means of a model employing dynamic programming method. Results from the output of the model are used to establish principles for making decisions about the installation pattern and units' types to be used
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Asian Institute of Technology Library Archives | AIT Thesis no. 785 (Browse shelf(Opens below)) | 4 | Available | 3005000303577x | |||||||||||||
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Asian Institute of Technology Library Archives | AIT Thesis no. 785 (Browse shelf(Opens below)) | Available | 30050160092630 |
A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in the Asian Institute of Technology, Bangkok, Thailand.
Thesis (M. Eng.) - Asian Institute of Technology, 1974
This study deals primarily with the problem of planning a new thermal electric power generating system. The planning objective for the electricity generating system is to choose the new installation so as to minimize the total discounted costs over a given period of years. It is assumed that the generating plants are fully integrated and the installation decisions will take place annually and all new plants will come on power at the beginning of the year. The optimum installed capacity in each year and the best types of units to be installed are calculated by means of a model employing dynamic programming method. Results from the output of the model are used to establish principles for making decisions about the installation pattern and units' types to be used
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