The Netherlands is a frontrunner in the field of public charging infrastructure, having a high number of public charging stations per electric vehicle (EV) in the world. During the early years of adoption (2012-2015) a large percentage of the EV fleet were Plugin Hybrid Electric Vehicles (PHEV)due to the subsidy scheme at that time. With an increasing number of Full Electric Vehicles (FEVs) on the market and a current subsidy scheme for FEV only, a transition of the EV fleet from PHEV to FEV is expected. This is hypothesized to have effect on charging behavior of the complete fleet, reason to understand better how PHEVs and FEVs differ in charging behavior and how this impacts charging infrastructure usage. In this paper, the effects of the transition of PHEV to FEV is simulated by extending an existing Agent Based Model. Results show important effects of this transitionon charging infrastructure performance.
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 University of Applied Sciences, in close cooperation with the municipalities of Amsterdam, Rotterdam, The Hague, Utrecht, and the Metropolitan Region of Amsterdam Electric, developed both the back- and front-end of a charging infrastructure assessment platform that processes and represents real-life charging data. Charging infrastructure planning and design methods described in the literature use geographic information system data, traffic flow data of non-EV vehicles, or geographical distributions of, for example, refueling stations for combustion engine vehicles. Only limited methods apply real-life charging data. Rolling out public charging infrastructure is a balancing act between stimulating the transition to zero-emission transport by enabling (candidate) EV drivers to charge, and limiting costly investments in public charging infrastructure. Five key performance indicators for charging infrastructure utilization are derived from literature, workshops, and discussions with practitioners. The paper describes the Data Warehouse architecture designed for processing large amounts of charging data, and the web-based assessment platform by which practitioners get access to relevant knowledge and information about the current performance of existing charging infrastructure represented by the key performance indicators developed. The platform allows stakeholders in the decision-making process of charging point installation to make informed decisions on where and how to expand the already existing charging infrastructure. The results are generalizable beyond the case study regions in the Netherlands and can serve the roll-out of charging infrastructure, both public and semi-public, all over the world.
This paper explores current and potential future use of fast charging stations for electric passenger vehicles. The aim of the paper is to analyse current charging patterns at fast charging stations and the role of fast charging among different charging options. These patterns are explored along the lines of the technical capabilities of the vehicles and it is found that with increasing battery capacity the need for fast charging decreases. However, for those vehicles with large charging capacities there are indications that fast charging is perceived as more convenient as these are used more often. Such results indicate a larger share for fast charging if charging capacities increase in the future. Results from a spatial analysis show that most fast charging is done at a considerable distance from home, suggesting mostly ‘on the road’ charging sessions. Some fast charging sessions are relatively close to home, especially for those without private home charging access. This shows some future potential for fast charging in cities with many on-street parking facilities.
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.
TU Delft, in collaboration with Gravity Energy BV, has conducted a feasibility study on harvesting electric energy from wind and vibrations using a wobbling triboelectric nanogenerator (WTENG). Unlike conventional wind turbines, the WTENG converts wind/vibration energy into contact-separation events through a wobbling structure and unbalanced mass. Initial experimental findings demonstrated a peak power density of 1.6 W/m² under optimal conditions. Additionally, the harvester successfully charged a 3.7V lithium-ion battery with over 4.5 μA, illustrated in a self-powered light mast as a practical demonstration in collaboration with TimberLAB. This project aims to advance this research by developing a functioning prototype for public spaces, particularly lanterns, in partnership with TimberLAB and Gravity Energy. The study will explore the potential of triboelectric nanogenerators (TENG) and piezoelectric materials to optimize energy harvesting efficiency and power output. Specifically, the project will focus on improving the WTENG's output power for practical applications by optimizing parameters such as electrode dimensions and contact-separation quality. It will also explore cost-effective, commercially available materials and best fabrication/assembly strategies to simplify scalability for different length scales and power outputs. The research will proceed with the following steps: Design and Prototype Development: Create a prototype WTENG to evaluate energy harvesting efficiency and the quantity of energy harvested. A hybrid of TENG and piezoelectric materials will be designed and assessed. Optimization: Refine the system's design by considering the scaling effect and combinations of TENG-piezoelectric materials, focusing on maximizing energy efficiency (power output). This includes exploring size effects and optimal dimensions. Real-World Application Demonstration: Assess the optimized system's potential to power lanterns in close collaboration with TimberLAB, DVC Groep BV and Gravity Energy. Identify key parameters affecting the efficiency of WTENG technology and propose a roadmap for its exploitation in other applications such as public space lighting and charging.
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.
