Arie de Niet
Arie is a senior data scientist at Witteveen+Bos. He has applied data analysis, statistical modelling and optimisation in a wide range of fields, varying from the water sector to ecology. Arie has contributed to software development projects, such as forecasting demand of fresh surface water and computation of the Physical Equivalent Temperature (PET) of the Netherlands. He obtained a PhD at the University of Groningen, in the Netherlands, for his research on fast solution of ocean-climate models.
Articles By Arie de Niet
In the 2015 Paris agreement, countries committed to implementing measures to reduce greenhouse gas emissions to limit global warming. For the maritime industry specifically, the International Maritime Organization (IMO) has proposed measures for energy efficiency of vessels and candidate measures regarding fuel choice and speed optimisation. This article aims to contribute to the latter by showing how logistical simulations can be used to optimise fleet operations. We will illustrate this in the form of a conceptual case using one cutter and a range of barge fleets. Running simulations with all possible fleets, we will demonstrate the value of extra energy-based alternatives to challenge the fastest, cheapest and most flexible alternatives.