The study presents the use of genetic algorithm (GA) to optimize the bipolar plate channel geometry of a polymer electrolyte membrane fuel cell (PEMFC). Contrary to previous optimization techniques, laborious fuel cell design steps, including boundary setting, mesh generation, and numerical...

Energy crisis becomes increasingly serious with the rapid industrial development. Apart from searching for the alternative energy sources, researchers are dedicated to increasing the efficiency of energy utilization in the industrial production process to alleviate the energy scarcity. The...

In a modern greenhouse there are a number of alternative systems that can be deployed to control the climate, and the choice what to use and when is not easy for the grower. A novel management system is proposed, consisting of an energy input minimizing module, and a module to realise the...

Due to limited energy density of batteries, energy management has always played a critical role in improving the overall energy efficiency of electric vehicles. In this paper, a key issue within the energy management problem will be carefully tackled, i.e., maximizing the power usage of...

Batteries in conventional fuel cell-based backup power systems carry out secondary tasks to support fuel cells in transient states. In this work, batteries fulfill an additional function: contributing to supply the load in stationary state, thus widening possibly the range of economical backup...

This study presents a model-based control strategy for a novel dedicated outdoor air-chilled ceiling (DOAS-CC) system with the aim of optimizing the overall system performance. The DOAS-CC system incorporates liquid desiccant dehumidification and membrane-based total heat recovery technologies....

This paper defines and simulates a closed-loop optimal control strategy for load shifting in a plant that is charged for electricity on both time-of-use (TOU) and maximum demand (MD). A model predictive control approach is used to implement the closed-loop optimal control model, and the...

To date, models for the nitrogen-oxide emissions of Diesel engines are either of empirical or phenomenological nature. The former are fast and quantitatively accurate in the identified region, but lack the generality and extrapolation capability of the latter. The model presented in this work...