Developers of charging infrastructure, be it public or private parties, are highly dependent on accurate utilization data in order to make informed decisions where and when to expand charging points. The Amsterdam The Amsterdam University of Applied Sciences in close cooperation with the municipalities of Amsterdam, Rotterdam, The Hague, Utrecht and the metropolitan region of Amsterdam developed both the back- and front-end of a decision support tool. This paper describes the design of the decision support tool and its DataWareHouse architecture. The back-end is based on a monthly update of charging data with Charge point Detail Records and Meter Values enriched with location specific data. The design of the front-end is based on Key Performance Indicators used in the decision process for charging infrastructure roll-out. Implementing this design and DataWareHouse architecture allows all kinds of EV related companies and cities to start monitoring their charging infrastructure. It provides an overview of how the most important KPIs are being monitored and represented in the decision support tool based on regular interviews and decision processes followed by four major cities and a metropolitan region in the Netherlands.
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In this study we developed models in order to predict the need for public charging points. These models give municipalities an insight into various environmental and consumer related factors that determine the need for public charging points for electric vehicles in the neighbourhood. These factors include, amongst others, the average gross monthly income of households in a certain neighbourhood and the overall number of cars in a certain neighbourhood. On the basis of the models it turns out, among other factors, that neighbourhoods with households with a relatively high average gross monthly income, and a relatively high number of cars, need a relatively large number of public charging points for electric vehicles.
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The Netherlands are one of the frontrunners in stimulating electric mobility in Europe when it comes to the charging infrastructure density and electric vehicle adoption. Municipalities play an instrumental role in the rollout of public charging infrastructure while they have little insight in the relevant key performance indicators of the charging infrastructure as a means to support effective decision making. This paper aims to contribute to providing a more thorough understanding of relevant key performance indicators for public charging infrastructure. An approach is presented that explores result and performance indicators to support policy makers optimizing the roll out of and improvement of the business case for charging infrastructure.
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298 woorden: In the upcoming years the whole concept of mobility will radically change. Decentralization of energy generation, urbanization, digitalization of processes, electrification of vehicles and shared mobility are only some trends which have a strong influence on future mobility. Furthermore, due to the shift towards renewable energy production, the public and the private sector are required to develop new infrastructures, new policies as well as new business models. There are countless opportunities for innovative business models emerging. Companies in this field – such as charging solution provider, project management or consulting companies that are part of this project, Heliox and Over Morgen respectively – are challenged with countless possibilities and increasing complexity. How to overcome this problem? Academic research proposes a promising approach, namely the use of business model patterns for business model innovation. In short, these business model patterns are descriptions of proven practical solutions to common business model challenges. An example for a general pattern would be the business model pattern “Consumables”. It describes how to lock in a customer into an ecosystem by using a subsidized basic product and complement it with overpriced consumables. This pattern works really well and has been used by many companies (e.g. Senseo, HP, or Gillette). To support the business model innovation process of Heliox and Over Morgen as well as companies in the electric mobility space in general, we propose to systematically consolidate and develop business model patterns for the electric mobility sector and to create a database. Electric mobility patterns could not only foster creativity in the business model innovation process but also enhance collaboration in teams. By having a classified list of business model pattern for electric mobility, practitioners are equipped which a heuristic tool to create, extend and revise business models for the future.
Economic and environmental sustainability are the two main drivers behind today’s logistics innovation. On the one hand, Industry 4.0 technologies are leading towards self-organizing logistics by enabling autonomous vehicles, which can significantly make logistics transport efficient. Detailed impact analysis of autonomous vehicles in repetitive, short-distance inter-hub transport in logistics hubs like XL Business park is presently being investigated in KIEM project STEERS. On the other hand, the zero-emission technology (such as battery electric) can complement the autonomous logistics transport in making such a logistics hub climate-neutral. In such a scenario, an automatic vehicle charging environment (i.e., charging infrastructure and energy supply) for autonomous electric vehicles will play a crucial role in maximizing the overall operational efficiency and sustainability by reducing the average idle time of both vehicles and charging infrastructure. The project INGENIOUS explores an innovative idea for presenting a sustainable and environment-friendly solution for meeting the energy demand and supply for autonomous electric vehicles in a logistics hub. It will develop and propose an intelligent charging environment for operating autonomous electric vehicles in XL Business park by considering its real-life settings and operational demand. The project combines the knowledge of education and research institutes (Hogeschool van Arnhem en Nijmegen and The University of Twente), industry partners (HyET Solar Netherlands BV, Distribute, Bolk Container Transport and Combi Terminal Twente), and public institutes (XL Business Park, Port of Twente, Regio Twente and Industriepark Kleefse Waard). The project results will form a sound basis for developing a real-life demonstrator in the XL Business park in the subsequent RAAK Pro SAVED project. A detailed case study for Industriepark Kleefse Waard will also be carried out to showcase the broader applicability of the INGENIOUS concept.
