Population games with replicator dynamics under event-triggered payoff provider and a demand response application

We consider a large population of decision makers that choose their evolutionary strategies based on simple pairwise imitation rules. We describe such a dynamic process by the replicator dynamics. Differently from the available literature, where the payoffs signals are assumed to be updated continuously, we consider a more realistic scenario...

Local Stackelberg equilibrium seeking in generalized aggregative games

We propose a two-layer, semi-decentralized algorithm to compute a local solution to the Stackelberg equilibrium problem in aggregative games with coupling constraints. Specifically, we focus on a single-leader, multiple follower problem, and after equivalently recasting the Stackelberg game as a mathematical program with complementarity...

Parametric modelling method based on Knowledge Based Engineering:: The LNG bunkering vessel case

This paper proposes a parametric modelling method based on Knowledge Based Engineering (KBE) for an LNG bunkering vessel (LNGBV). Parametric models aim to define the geometry and main systems configuration of the vessel starting from the principle that the vessel should be able to perform its mission successfully. The adoption of KBE in...

Fuel cell systems applied in expedition cruise ships: A comparative impact analysis

Global endeavors to reduce emissions in the shipping industry are accelerating the interest in fuel cell system. This paper explores the application of different fuel cell types (LT-PEMFC, HT-PEMFC and SOFC) in combination with different fuels (LH2, LNG, MeOH and NH3) in expedition cruise ships. The goal of this paper is to evaluate the impact...

Improved Prediction of the Energy Demand of Fuel Cell Driven Expedition Cruise Ships

Fuel cell systems require a better early-stage prediction of the energy consumption of a ship because they are more expensive, more voluminous and less able to deal with rapid load changes than conventional diesel-powered systems. This paper discusses a model for such an improved prediction of the total energy demand of an expedition cruise...

Modelling Maintenance – Cost Optimised Maintenance in Shipping

Most ship management companies base the operational cost calculation on scheduled maintenance jobs. Scheduled maintenance jobs do not take unforeseen maintenance into account. This under-estimates the operational budget. The estimation of the operational costs can be improved by including the unforeseen maintenance costs. The amount of...

Integration of Genetic Algorithm and Monte Carlo Simulation for System Design and Cost Allocation Optimization in Complex Network

Complex networks play a vital role in reliability analysis of real-world applications, demanding for precise and accurate analysis methods for optimal allocations of cost and reliability. Since the configuration of a system may change with every feasible solution of cost allocation optimization equation, finding the best arrangement of the...

Uncertainties Analysis and Life Cycle Costs of Piping Mitigation Measures

The traditional Dutch way to deal with piping failure in river dikes is the implementation of piping berms. The disadvantage of such a measure is the required inland space. Relief wells, on the other hand, require less or no inland space representing an attractive alternative solution. The aims of this paper are first, to show how reliability...

Efficient particle-based estimation of marginal costs in a first-order macroscopic traffic flow model

Marginal costs in traffic networks are the extra costs incurred to the system as the result of extra traffic. Marginal costs are required frequently e.g. when considering system optimal traffic assignment or tolling problems. When explicitly considering spillback in a traffic flow model, one can use a numerical derivative or resort to heuristics...