The ever-increasing electrification of society has been a cause of utility grid issues in many regions around the world. With the increased adoption of electric vehicles (EVs) in the Netherlands, many new charge points (CPs) are required. A common installation practice of CPs is to group multiple CPs together on a single grid connection, the so-called charging hub. To further ensure EVs are adequately charged, various control strategies can be employed, or a stationary battery can be connected to this network. A pilot project in Amsterdam was used as a case study to validate the Python model developed in this study using the measured data. This paper presents an optimisation of the battery energy storage capacity and the grid connection capacity for such a P&R-based charging hub with various load profiles and various battery system costs. A variety of battery control strategies were simulated using both the optimal system sizing and the case study sizing. A recommendation for a control strategy is proposed.
Phd Thesis Higher professional education aims to prepare graduates for the complexity of professional practices. The development of conceptual understanding is important to deal adequately with this complexity, especially in an unstructured professional domain such as international business. The aim of this dissertation is to investigate the concept conceptual understanding in this professional domain, how it can be measured, what it looks like, how it changes, and in what ways it differs between students. The dissertation comprises five empirical studies for which data collection took place at a university of applied sciences in the Netherlands.
While the concept of Responsible Innovation is increasingly common among researchers and policy makers, it is still unknown what it means in a business context. This study aims to identify which aspects of Responsible Innovation are conceptually similar and dissimilar from social- and sustainable innovation. Our conceptual analysis is based on literature reviews of responsible-, social-, and sustainable innovation. The insights obtained are used for conceptualising Responsible Innovation in a business context. The main conclusion is that Responsible Innovation differs from social- and sustainable innovation as it: (1) also considers possible detrimental implications of innovation, (2) includes a mechanism for responding to uncertainties associated with innovation and (3) achieves a democratic governance of the innovation. However, achieving the latter will not be realistic in a business context. The results of this study are relevant for researchers, managers and policy makers who are interested in responsible innovation in the business context.
