Making the Production of Green Hydrogen by Electrolyser Economically Viable

Green hydrogen plays an important role in the energy transition. It can function as a storage medium, as well as a replacement for fossil fuels in transport or high-temperature heat processes. However, the economic feasibility of electrolysers has proved to be a problem. Even though a lot of research has been done to the electrolysis technology,...

Linear flow modelling of an integrated energy system on a national scale in 2050

An increasing part of European electricity is provided by renewable sources, whose output varies considerably. In order to offset these variations, gas can be used as an auxiliary source of energy for power production, but extra power can also be used to produce hydrogen or methane for storage. As a consequence, gas and power networks are...

Electric flight scheduling with battery-charging and battery-swapping opportunities

With the current advances in aircraft design and Lithium-Ion batteries, electric aircraft are expected to serve as a replacement for conventional, short-range aircraft. This paper addresses the main operational challenges for short-range flights operated with electric aircraft: determining the investment needs for a fleet of electric aircraft,...

Using Nemirovski's Mirror-Prox method as basic procedure in Chubanov's method for solving homogeneous feasibility problems

We introduce a new variant of Chubanov's method for solving linear homogeneous systems with positive variables. In the Basic Procedure we use a recently introduced cut in combination with Nemirovski's Mirror-Prox method. We show that the cut requires at most (Formula presented.) time, just as Chubanov's cut. In an earlier paper it was shown...

A multiplicative best–worst method for multi-criteria decision making

This communication examines the best–worst method for multi-criteria decision making from a more mathematical perspective. The central part of this manuscript is the introduction of a new metric into the framework of the best–worst method. This alternative metric does not change the original idea behind the best–worst method and yet it can be...

Oplossingen voor Dreshers hoger lager spel voor N <= 980

Melvin Dresher beschouwde in zijn boek uit 1961 over speltheorie een getallenraadspel over N getallen. Hij liet zien hoe de optimale strategieën van beide spelers kon worden gevonden met behulp van lineair programmeren. Later toonde Selmer Johnson oplossingen voor N&lt;=11 en merkte op dat de berekeningen steeds complexer werden bij toenemende N...

Power To Paris: The Role of Carbon Capture and Storage in a Future European Electricity System that Abides by the COP21 Climate Agreement

To limit global warming to 2 degrees Celsius in 2100, the European power sector needs to transform. Renewable energy capacity is required to reach this ambition, together with transmission and storage capacity to maintain grid stability. Carbon capture and storage could potentially decrease the required renewable energy capacity, while...

Optimal siting and sizing of wind farms

In this paper, we propose a novel technique to determine the optimal placement of wind farms, thereby taking into account wind characteristics and electrical grid constraints. We model the long-term variability of wind speed using a Weibull distribution according to wind direction intervals, and formulate the metrics that capture wind speed...

Improved Full-Newton Step O(nL) Infeasible Interior-Point Method for Linear Optimization

We present several improvements of the full-Newton step infeasible interior-point method for linear optimization introduced by Roos (SIAM J. Optim. 16(4):1110–1136, 2006). Each main step of the method consists of a feasibility step and several centering steps. We use a more natural feasibility step, which targets the ?+-center of the next pair...

A Class of Large-Update and Small-Update Primal-Dual Interior-Point Algorithms for Linear Optimization

In this paper we present a class of polynomial primal-dual interior-point algorithms for linear optimization based on a new class of kernel functions. This class is fairly general and includes the classical logarithmic function, the prototype self-regular function, and non-self-regular kernel functions as special cases. The analysis of the...