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.
The transition towards electric mobility is expected to take off the coming years, as more EV car models access the market and charging infrastructure is being expanded. The expansion of charging infrastructure will have to accelerate to keep pace with the fast-growing need for charging. The coming years will be marked by uncertainty regarding technological developments (batteries, range), charging technologies (e.g. fast charging, inductive), growth of car sharing and autonomous driving and impact on user preferences and charging behaviour Data management is key to the EV market and public parties involved: to be able to adapt quickly to changes and to reduce risks and costs. This paper describes the five most important preconditions for effective data management that allows stakeholders to monitor the performance of their charging infrastructure and to take informed decisions on rollout strategies based on data science research results.
MULTIFILE
MKB-bedrijven op het gebied van architectuur, gebiedsontwikkeling, ontwerp, digital design en technologie-ontwikkeling zien een nieuwe ‘markt’ ontstaan in de toenemende interesse voor de stedelijke commons. Dat zijn lokale gemeenschappen waarin mensen resources zoals energie, mobiliteit of woonruimte met elkaar delen en beheren, op een duurzame en pro-sociale manier. MKB-bedrijven zien kansen om in co-creatie met deze leefgemeenschappen nieuwe diensten en producten te ontwikkelen waarmee bewoners hun hulpbronnen gemeenschappelijk kunnen managen. MKB-bedrijven zien de ontwikkeling van stedelijke commons daarnaast als mogelijke oplossing voor urgente maatschappelijke vraagstukken en missies op het gebied van inclusieve woningbouw, duurzaamheid en de energietransitie. Voor het goed functioneren van de commons is een heldere articulatie en implementatie van hun onderliggende (maatschappelijke) waarden essentieel. Dit vraagt van MKB-bedrijven een zoektocht naar nieuwe manieren van gebieds- en technologie-ontwikkeling in samenwerking met bewoners. Een specifiek probleem daarbij betreft het vertalen van de commons-waarden naar een technologisch systeem dat het gezamenlijk beheer van hulpbronnen mogelijk maakt. Hiervoor wordt veel verwacht van digitale platformen en distributed ledgers technologies zoals de blockchain. Dit zijn databases die precies bijhouden wie wat bijdraagt en gebruikt. Ze koppelen zo’n boekhouding ook aan rechten, plichten en reputaties van de deelnemers. Bij de inrichting van zo’n systeem moeten ontwerpers steeds keuzes maken en rekening houden met spanningen tussen bijvoorbeeld privacy en transparantie, of individuele en collectieve belangen. In dit ontwerpproces stuiten MKBs op een kennishiaat. Hoe kunnen de onderliggende (maatschappelijke) waarden van commons-gemeenschappen 1) worden gearticuleerd en 2) vertaald naar een ontwerp voor de organisatie van een stedelijke commons met behulp van digitale platformen? Dit onderzoek verkent deze vragen in een fieldlab in Amersfoort, op twee ‘transfersites’ in Amsterdam en Birmingham, en met community of practice partners. Samen met hen worden een set design-principes en richtlijnen ontwikkeld voor het ontwerp van DLTs voor de stedelijke commons.
In the road transportation sector, CO2 emission target is set to reduce by at least 45% by 2030 as per the European Green Deal. Heavy Duty Vehicles contribute almost quarter of greenhouse gas emissions from road transport in Europe and drive majorly on fossil fuels. New emission restrictions creates a need for transition towards reduced emission targets. Also, increasing number of emission free zones within Europe, give rise to the need of hybridization within the truck and trailer community. Currently, in majority of the cases the trailer units do not possess any kind of drivetrain to support the truck. Trailers carry high loads, such that while accelerating, high power is needed. On the other hand, while braking the kinetic energy is lost, which otherwise could be recaptured. Thus, having a trailer with electric powertrain can support the truck during traction and can charge the battery during braking, helping in reducing the emissions and fuel consumption. Using the King-pin, the amount of support required by trailer can be determined, making it an independent trailer, thus requiring no modification on the truck. Given the heavy-duty environment in which the King-pin operates, the measurement design around it should be robust, compact and measure forces within certain accuracy level. Moreover, modification done to the King-pin is not apricated. These are also the challenges faced by V-Tron, a leading company in the field of services in mobility domain. The goal of this project is to design a smart King-pin, which is robust, compact and provides force component measurement within certain accuracy, to the independent e-trailer, without taking input from truck, and investigate the energy management system of the independent e-trailer to explore the charging options. As a result, this can help reduce the emissions and fuel consumption.
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.
