It is essential to consider the social context when designing sustainable energy systems that lead to successful implementation in neighbourhoods. Current methods often only consider techno-economic aspects and are insufficiently capable of including social factors, because they are unclear about which …

Decentralised renewable energy production in the form of fuels or electricity can have large scale deployment in future energy systems, but the feasibility needs to be assessed. The novelty of this paper is in the design and implementation of a mixed integer linear programming optimisation model to minimise …

1. Purpose of the Research The research aims at developing a concept of operations (ConOps) that could connect aviation and all existing and future transport modes into an overall efficient transport network. Such ConOps should provide future passengers with a rapid and seamless travel experience. 2. …

The need for increasing further the penetration of Renewable Energy Sources (RESs) is demanding a change in the way distribution grids are managed. In particular, the RESs intermittent and stochastic nature is finding in Battery Energy Storage (BES) systems its most immediate countermeasure. This work …

In Vlissingen, the municipality wants to make a selected neighbourhood natural gas-free. In order to support this, they have been granted a subsidy. There are many important stakeholders in this project such as the housing corporation l’Escaut which owns most of the houses in the neighbourhood. All of …

uitleg over werking 5G en toepassing van edge computing voor realtime beslissinge met AI

Exploring virtual assurance of a Partially Automated Driving System during car following conditionsTraditionally, driving simulators are used to investigate driver responses to manipulations in the driver-vehicle-environment triangle, such as adding distractors or introducing low visibility driving conditions. …

Completeness of data is vital for the decision making and forecasting on Building Management Systems (BMS) as missing data can result in biased decision making down the line. This study creates a guideline for imputing the gaps in BMS datasets by comparing four methods: K Nearest Neighbour algorithm …