As the energy transition transforms power grids across the globe it poses several challenges regarding grid design and control. In particular, high levels of intermittent renewable generation complicate the job of continuously balancing power supply and demand, which is necessary for the grid’s stability. Although there exist several proposals to control the grid, most of them have not demonstr...

1 Abstract Pareto optimal designs are the best designs that can be produced for a given problem formulation for a given set of criteria when the criteria are not combined in any way. If the goal is to improve the performance in those criteria then it is possible to manipulate the problem formulation to achieve an improvement. The approach adopted is to encode the formulation in a genetic algori...

Dynamic resource allocation is an important means to increase the sum capacity of fading multiple-access channels (MACs). In this paper, we consider vector multiaccess channels (channels where each user has multiple degrees of freedom) and study the effect of power allocation as a function of the channel state on the sum capacity (or spectral efficiency) defined as the maximum sum of rates of u...

In this paper we develop a vintage capital model for a firm involved in a market for tradable emission permits. We analyze both the firm's optimal investment plans and the market equilibrium. This allows us to scrutinize how firms use permits free endowment, and to highlight the implications of non-optimal uses both at the firm and at the market level. We provide a new rationale for the market ...

We present a new class of array codes based on a generalization of the RAID5 XOR parity code. The R5X0(n, r, p) code protects an array of n data disks and p parity disks with r symbols per column from as many as p arbitrary column erasures. Decoding and encoding in R5X0 is computed using only XOR and cyclic shift operations. R5X0 is a simple geometric generalization of RAID5 and has optimal upd...

Thiswork presents a systematic approach for the optimal design and optimization ofmetal-hydridematerials and processes for efficiency hydrogen storage. Techniques for the synthesis and characterization of novelmetal-hydridematerials are presented in a view of designingmaterial to enhance storage efficiency. More specifically the synthesis of a composite intermetallic hydride by using theoretica...

A novel multilevel algorithm is presented for implementing the widely used linear sampling method in inverse obstacle scattering problems. The new method is shown to possess asymptotically optimal computational complexity. For an n×n sampling mesh in R2 or an n×n×n sampling mesh in R3, the proposed algorithm requires one to solve only O(nN−1) far-field equations for a RN problem (N=2,3), and th...

Aerodynamic shape optimization plays a fundamental role in aircraft design. However, useful parameterizations of shapes for engineering models often result in high-dimensional design spaces which can create challenges for both local and global optimizers. In this paper, we employ an active subspace method (ASM) to discover and exploit low-dimensional, monotonic trends in the quantity of interes...

It is well known that if a monopolist serving a market of substitute products can perfectly price discriminate, the socially optimal set of products (or ‘characteristics’) will be supplied. This follows since the profits of the perfectly discriminating monopolist are equal to the consumers’ surplus. Thus the monopolist will provide the product selection that maximizes consumers’ surplus [see Wh...

In many wave energy concepts, power output in the MW range requires the simultaneous operation of many wave energy converters. In particular, this is true for small point-absorbers, where a wave energy farm may contain several hundred devices. The total performance of the farm is affected by the hydrodynamic interactions between the individual devices, and reliable tools that can model full far...