Stochastic optimization models for power generation capacity expansion with risk management

2013 ◽  
Author(s):  
Maria Teresa Vespucci ◽  
Marida Bertocchi ◽  
Stefano Zigrino ◽  
Laureano F. Escudero
Keyword(s):  
Power Generation ◽  
Risk Management ◽  
Stochastic Optimization ◽  
Capacity Expansion ◽  
Optimization Models ◽  
Generation Capacity

Nigeria electricity crisis: Power generation capacity expansion and environmental ramifications

Energy ◽  
2013 ◽  
Vol 61 ◽  
pp. 354-367 ◽  
Author(s):  
Abubakar Sadiq Aliyu ◽  
Ahmad Termizi Ramli ◽  
Muneer Aziz Saleh
Keyword(s):  
Power Generation ◽  
Capacity Expansion ◽  
Electricity Crisis ◽  
Generation Capacity

Stochastic Optimization Models for Workforce Planning, Operations, and Risk Management

2018 ◽  
Vol 10 (1) ◽  
pp. 40-57 ◽  
Author(s):  
Michael J. Davis ◽  
Yingdong Lu ◽  
Mayank Sharma ◽  
Mark S. Squillante ◽  
Bo Zhang
Keyword(s):  
Risk Management ◽  
Stochastic Optimization ◽  
Workforce Planning ◽  
Optimization Models

Hub height optimisation of commercial WTGs based on accurate wind resource analysis

2021 ◽  
pp. 0309524X2110227
Author(s):  
Kyle O Roberts ◽  
Nawaz Mahomed
Keyword(s):  
Power Generation ◽  
Wind Turbine ◽  
Wind Power ◽  
Capacity Factor ◽  
Resource Analysis ◽  
Wind Speeds ◽  
Unique Maximum ◽  
Wind Measurements ◽  
Generation Capacity ◽  
Wind Resource

Wind turbine selection and optimal hub height positioning are crucial elements of wind power projects. However, in higher class wind speeds especially, over-exposure of wind turbines can lead to a reduction in power generation capacity. In this study, wind measurements from a met mast were validated according to specifications issued by IRENA and NREL. As a first step, it is shown that commercial WTGs from a database may be matched to the wind class and turbulence intensity. Secondly, a wind turbine selection algorithm, based on maximisation of capacity factor, was implemented across the range of WTGs. The selected WTGs were further exposed to an iterative algorithm using pointwise air density and wind shear coefficients. It is shown that a unique maximum capacity factor, and hence wind power generation, exists for a wind turbine, premised on its eventual over-exposure to the wind resource above a certain hub height.

Optimization of a Sintering Waste Heat Power Unit

2014 ◽  
Vol 1008-1009 ◽  
pp. 897-900
Author(s):  
Xue Min Gong ◽  
Jiu Lin Yang ◽  
Chen Wang
Keyword(s):  
Power Generation ◽  
Power Unit ◽  
Waste Heat ◽  
Steam Pressure ◽  
Operating Conditions ◽  
Parameters Optimization ◽  
Heat Power ◽  
Optimal Value ◽  
Generation Capacity ◽  
Main Steam

An optimization was performed for a sintering waste heat power unit with all data obtained in the site and under the unit normal operating conditions. The physical and mathematical model for the process of cooling and generation is established, which makes the net power generation as an objective function of the cooling machine imported ventilation, the thickness of sinter and the main steam pressure. Optimizing for single parameter, we found that each parameter had an optimal value for the system. In order to further optimize the system's operating parameters, genetic algorithm was used to make the combinatorial optimization of the three parameters. Optimization results show that power generation capacity per ton is increased by13.10%, and net power generation is increased by 16.17%. The optimization is instructive to the operation of sintering waste heat power unit.

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