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optimization-under-uncertainty
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Multi-criterion based well placement and control in the water-flooding of naturally fractured reservoir
, Article Journal of Petroleum Science and Engineering ; 2016 ; 09204105 (ISSN) ; Boozarjomehry Bozorgmehry, R ; Pishvaie, M. R ; Shaarif University of Technology
Elsevier B. V
Abstract
In the optimization of naturally fractured reservoirs, it is required to take into account their complex flow behavior due to high conductivity fractures. In this regard, the possible effects of fractures must be included in the optimization procedure. In a water-flooding project, fast water breakthrough from injection to production wells may be occurred because of high permeability fractures. To consider the effect of the fracture system, a multi-criterion optimization procedure is proposed in this work. For this contribution, Non-dominated Sorting Genetic Algorithm version II (NSGA-II) is implemented for the optimization purposes. Considering the effect of the fracture system on the flow...
Residential Energy Hub Management using Reinforcement Learning Methods
, M.Sc. Thesis Sharif University of Technology ; Moeini Aghtaie, Moein (Supervisor)
Abstract
In recent years, various studies have been conducted focusing on the optimization and scheduling of energy hubs (EH). EH optimization is important because it tries to create synergy in the energy supply system by considering the relationships between energy carriers. For this purpose, various algorithms such as analytical methods (linear programming) and evolutionary and heuristic algorithms have been used. Also, recently, various studies have addressed the applications of reinforcement learning for energy hub management. In this study, a hybrid model for energy hub management has been developed by combining classical linear models (Known as white-box models) and reinforcement learning...
Improving the Decision-Making Process under the Presence of Uncertainty in Airplane Conceptual Design, Creating an Intuitive Platform
, M.Sc. Thesis Sharif University of Technology ; Banazadeh, Afshin (Supervisor)
Abstract
Improving performance and reducing costs is a constant competition between aircraft designers, which has made multi-disciplinary optimization always part of the design process. In the design process of a conventional aircraft, there are various uncertainties in technology levels, mission parameters, costs and operating environment. It is clear that these uncertainties will make the decision-making difficult and lead to uncertainties in the output of the design; on the other hand, considering them will increase the computational cost. Understanding how much the uncertainty of each parameter will affect the overall output of the design and its performance, makes it possible to ignore the...
Multi-criterion based well placement and control in the water-flooding of naturally fractured reservoir
, Article Journal of Petroleum Science and Engineering ; Volume 149 , 2017 , Pages 675-685 ; 09204105 (ISSN) ; Boozarjomehry Bozorgmehry, R ; Pishvaie, M. R ; Sharif University of Technology
Elsevier B.V
2017
Abstract
In the optimization of naturally fractured reservoirs, it is required to take into account their complex flow behavior due to high conductivity fractures. In this regard, the possible effects of fractures must be included in the optimization procedure. In a water-flooding project, fast water breakthrough from injection to production wells may be occurred because of high permeability fractures. To consider the effect of the fracture system, a multi-criterion optimization procedure is proposed in this work. For this contribution, Non-dominated Sorting Genetic Algorithm version II (NSGA-II) is implemented for the optimization purposes. Considering the effect of the fracture system on the flow...
Multi-objective design and operation of Solid Oxide Fuel Cell (SOFC) Triple Combined-cycle Power Generation systems: Integrating energy efficiency and operational safety
, Article Applied Energy ; Volume 185 , 2017 , Pages 345-361 ; 03062619 (ISSN) ; Meghdari, M ; Rashtchian, D ; Sharif University of Technology
Elsevier Ltd
2017
Abstract
Energy efficiency is one of the main pathways for energy security and environmental protection. In fact, the International Energy Agency asserts that without energy efficiency, 70% of targeted emission reductions are not achievable. Despite this clarity, enhancing the energy efficiency introduce significant challenge toward process operation. The reason is that the methods applied for energy-saving pose the process operation at the intersection of safety constraints. The present research aims at uncovering the trade-off between safe operation and energy efficiency; an optimization framework is developed that ensures process safety and simultaneously optimizes energy-efficiency, quantified in...