Aeropropulsive Design Optimization Studies of a Blended Wing Body Aircraft

With the increasing demand for flights, the environmental impact of aviation is on the rise. To tackle this challenge, it is necessary to look into the design of unconventional aircraft configurations and engine design improvements to improve overall fuel efficiency. The Blended Wing Body (BWB) aircraft is one of the most promising...

A Gradient-Descent Optimization Assisted Gray-Box Impedance Modeling of EV chargers

Extracting an electric vehicle (EV) charger's input impedance with the analytical model (white-box approach) or the frequency sweep (black-box approach) is limited by the parameter confidentiality or the measurement noise, respectively. To overcome these challenges, a gradient-descent (GD) optimization-based gray-box modeling approach is...

A multiscale method for data assimilation

In data assimilation problems, various types of data are naturally linked to different spatial resolutions (e.g., seismic and electromagnetic data), and these scales are usually not coincident to the subsurface simulation model scale. Alternatives like upscaling/downscaling of the data and/or the simulation model can be used, but with...

Multi-point aerodynamic shape optimization for airfoils and wings at supersonic and subsonic regimes

The second-generation of supersonic civil transport has to match ambitious targets in terms of noise reduction and efficiency to become economically and environmentally viable. High-fidelity numerical optimization offers a powerful approach to address the complex trade-offs intrinsic to this novel configuration. Past and current research however...

Topology optimization of coupled heat problems: An investigation of a combined thermo-mechanical and thermo-fluid topology optimization towards improving optical performance of a beam-steering mirror

In modern ASML machines optical components play an important role in the lithography process. EUV light is transported from the source to wafer by reflective optics. These mirrors are subjected to large thermal loading, as a large portion of the reflected light is absorbed in the mirror structure. The portion of the absorbed light is strongly...

Phase Diversity for the Deployable Space Telescope

The Deployable SpaceTelescope Project was started at Delft University of Technology in 2014. The projectaims to develop an ultra-high resolution Earth Observation telescope with aresolution of 0.25m, but with a much lower mass and volume than its competitorscurrently in operation. In order to meet the stringent mass...

An Efficient Robust Optimization Workflow using Multiscale Simulation and Stochastic Gradients

We present an efficient workflow that combines multiscale (MS) forward simulation and stochastic gradient computation - MS-StoSAG - for the optimization of well controls applied to waterflooding under geological uncertainty. A two-stage iterative Multiscale Finite Volume (i-MSFV), a mass conservative reservoir simulation strategy, is employed as...

Computing derivative information of sequentially coupled subsurface models

A generic framework for the computation of derivative information required for gradient-based optimization using sequentially coupled subsurface simulation models is presented. The proposed approach allows for the computation of any derivative information with no modification of the mathematical framework. It only requires the forward model...

Multiscale gradient computation for flow in heterogeneous porous media

An efficient multiscale (MS) gradient computation method for subsurface flow management and optimization is introduced. The general, algebraic framework allows for the calculation of gradients using both the Direct and Adjoint derivative methods. The framework also allows for the utilization of any MS formulation that can be algebraically...

Adjoint formulation and constraint handling for gradient-based optimization of compositional reservoir flow

An adjoint formulation for the gradient-based optimization of oil-gas compositional reservoir simulation problems is presented. The method is implemented within an automatic differentiation-based compositional flow simulator (Stanford's AD-GPRS). The development of adjoint procedures for general compositional problems is much more challenging...

A research on the optimization of the reservoir model

With a high demand of oil, optimization of oil output in the reservoir field is urgent and significant. Practical production problems often involve large, highly complex reservoir models, with up to thousands of unknowns and many constraints. Moreover, our understanding of the reservoir is always highly uncertain, and this uncertainty can be...

Simulation and Optimization of Foam EOR Processes

Chemical enhanced oil recovery (EOR) is relatively expensive due to the high cost of the injected chemicals such as surfactants. Excessive use of these chemicals leads to processes that are not economically feasible. Therefore, optimizing the volume of these injected chemicals is of extreme importance. We intend to maximize the long-term...

Sensitivity analysis of a coupled aero-structural system using direct differentiation and adjoint equations

In order to solve a multi-disciplinary optimization problem with strongly coupled disciplines, like the design of a commercial aircraft's wing, an aero-structural design framework is currently under construction. The optimization process is gradient-based and relies on the method of feasible directions. Several constraints can be applied, but...