Multi-objective linear regression based optimization of full repowering a single pressure steam power plant
| Autor: | S. Nikbakht Naserabad, Gholamreza Ahmadi, Abdollah Mehrpanahi |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Overall pressure ratio
Power station business.industry 020209 energy Mechanical Engineering Repowering 02 engineering and technology Building and Construction Steam-electric power station Pollution Industrial and Manufacturing Engineering General Energy 020401 chemical engineering Steam turbine Heat recovery steam generator 0202 electrical engineering electronic engineering information engineering Exergy efficiency Environmental science Air compressor 0204 chemical engineering Electrical and Electronic Engineering Process engineering business Civil and Structural Engineering |
| Zdroj: | Energy. 179:1017-1035 |
| ISSN: | 0360-5442 |
| DOI: | 10.1016/j.energy.2019.04.208 |
| Popis: | Full repowering of Be'sat steam power plant has been studied in this work. The methodology is used to simulate the new cycle according to its principal specifications and to optimize it based on the objective functions. Objective functions are electricity cost per kWh and exergy efficiency. These parameters are functions of the pinch and approach point temperature differences at high and low pressure points and at the pre-heater in the heat recovery steam generator (HRSG), steam turbine inlet flow rate, gas turbine (GT) isentropic efficiency, air compressor isentropic efficiency and compressor pressure ratio. Finally, considering the introduced objective functions, it is tried to achieve the most optimized techno-economic characteristics for Be'sat power plant repowering cycle using the genetic algorithm with two scenarios of single and multi-objective optimizations. The results show that the efficiencies of the repowered cycle are 52.59% and 51.3% for two cases of unfired and fired duct burners, respectively. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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