Titlebook: BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems; Urmila Diwekar,Amy David Book 2015 Urmila Diwekar, Amy David 20

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Michelle Price Judge,Cheryl Tatano Beckrk for real-time optimization of power generation is advantageous over a deterministic framework in maximizing power output. In this chapter, it is shown that significant cost savings can be achieved if optimization is done on an hourly basis, and the plant set points are changed accordingly.

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Uncertainty Analysis and Sampling Techniques,rm distributions represent an equal likelihood of a value lying anywhere within a specified range, on either a linear or logarithmic scale, respectively. Furthermore, a normal (Gaussian) distribution reflects a symmetric but varying probability of a parameter value being above or below the mean value.

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Real-Time Optimization forWater Management,rk for real-time optimization of power generation is advantageous over a deterministic framework in maximizing power output. In this chapter, it is shown that significant cost savings can be achieved if optimization is done on an hourly basis, and the plant set points are changed accordingly.

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The L-Shaped BONUS Algorithm,objective function has the action term, and the recourse function is dependent on the uncertainties and recourse decisions. The recourse function can be a discontinuous nonlinear function in . and . space.

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Water Security Networks,rk design, such as chemical propagation, concentration of disinfectants, contamination minimization, etc., is far less prominent, though such factors should be considered at the design stage to best make water networks secure from contamination.

Certainty

Uncertainty Analysis and Sampling Techniques, The type of distribution chosen for an uncertain variable reflects the amount of information that is available. For example, the uniform and loguniform distributions represent an equal likelihood of a value lying anywhere within a specified range, on either a linear or logarithmic scale, respective

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Water Management Under Weather Uncertainty,thermoelectric power generation increases in the USA (the Energy Information Administration estimates that thermoelectric power generation will grow 22 % by 2030), so does the importance of managing the water used in these plants. In a clean coal-fired power plant, water is consumed in makeups (wate

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