go to top scroll for more

Projects: Custom Search
Reference Number	NIA2_NGET0051
Title	Interaction of Megawatt e-Trucks with Transmission System (I-MeTTS)
Status	Started
Energy Categories	Energy Efficiency (Transport) 20%; Other Power and Storage Technologies (Electricity transmission and distribution) 80%;
Research Types	Applied Research and Development 100%
Science and Technology Fields	ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 100%
UKERC Cross Cutting Characterisation	Not Cross-cutting 100%
Principal Investigator	Project Contact No email address given National Grid Electricity Transmission
Award Type	Network Innovation Allowance
Funding Source	Ofgem
Start Date	01 November 2023
End Date	31 March 2026
Duration	ENA months
Total Grant Value	£652,380
Industrial Sectors	Power
Region	London
Programme	Network Innovation Allowance
Investigators	Principal Investigator	Project Contact , National Grid Electricity Transmission (100.000%)
	Industrial Collaborator	Project Contact , National Grid Electricity Transmission (0.000%)
Web Site	https://smarter.energynetworks.org/projects/NIA2_NGET0051
Objectives	This study is broken down into the following work packages and deliverables:Work package 1:This WP reviews the state-of-the-art of charging technologies, codes, standards, charging options, and road freight activity.  Work package 2: This WP reviews etrucks Electric Fleet Charging Load Profiles. This will identify the interconnection capacity need / grid reinforcement for different future scenarios.   Work Package 3: WP3 investigates grid requirements for eTrucks charging and their impact on the grid pprojections for levels of EV adoption continue to be revised, which makes studying the impact of this new type of demand on the power system increasingly important, particularly in the context of light-goods and heavy-goods vehicles.  Work Package 4:WP4 studies mitigation systems for impact on the grid of eTrucks MCS. Simulations will be run by applying various charging strategies which allow to reduce the peak load at the grid connection point.  Work Package 5:This WP will develop a High-power EV charging emulator. Development of an experimental laboratory platform at the School of Engineering, Cardiff University to emulate charging stations with different power levels. Perform battery measurements at the cell level (e.g., charge at very high currents) providing scalability and flexibility at larger levels. This is a research project to understand the electrical impact of EV Trucks within the UK. Over the 30-month project, we will carry out literature review, modelling, simulations, and developments to provide with specifications of connecting Megawatt charging systems. The main work packages of the technical concept study are:WP1.1 Scoping and Review of codes and standards for high power charging.  For example, charging system components, energy service interface, architecture of fast charging stations.  WP1.2 Review of battery-electric truck wired stationary charging options (public fast, ultra-fast and destination/depot charging).  The eTruck charging technology will be classified presenting the commercially available solutions (e.g. nominal power output) and the industry trend. The range of solutions and data available to support the analysis will be produced.  WP1.3 Review of road freight activity based on existing studies and statistics.  This task will assess requirements and assumptions for the modelling studies. EU Regulation on driving times and rest periods is still applied in the UK and, according to these rules, the maximum daily driving period is 9 hours (10 hours in exceptional cases), and the minimum rest periods is (at least) 9 hours. Mandatory breaks of 45 minutes every four and half hours are legally required, which can be split into two breaks of 30 and 15 minutes. These will be used for assessing the charging patterns based on road freight activity.  WP2.1 Generating load profiles for eTruck charging (depot, long-haul stops and enroute charging) including slow and fast charging.   Because fleet operational data is highly variable and uncertain, the analysis will use, for example, a Monte Carlo simulation to evaluate probabilistic distributions of fleet schedules to develop reasonable boundaries of potential charging profiles. WP2.2 Evaluation of charging demand for eTrucks using NGET charging scenarios (as presented in Supporting the growth of clean transport, Decarbonising Heavy Goods Vehicles on the Strategic Road Network, May 2022). Several study cases will be identified (e.g., operating centres/depots, long haul stops and enroute charging) and realistic charging load profiles from WP2.1 will be used considering vehicle traffic flow.WP2.3 Forecast power demand and peak-demand from MCS of eTrucks (e.g., maximum charge rate is capped at 350kW based on the Megawatt Charging System standard). This could identify the interconnection capacity need / grid reinforcement for different future scenarios. Assess if the extreme scenario with a maximum charge rate of 350kW, based on the Megawatt Charging System standard, is introducing a new grid peak.WP3.1 Impact of high-power and megawatt charging on the transmission networks. The charging infrastructure demand for eTrucks (including both light and heavy trucks) is diverse depending on trip distance. Charging options are classified as: public high-power and megawatt charging, semi-public and overnight charging (at the place of commercially loading/unloading of freight), public during resting periods, private at the depot (destination) and home (for LGVs).   The project will build a simulation environment to study the impact of high-power and megawatt charging on the grid due to the movement of eTrucks and the associated density value. Transmission networks incorporating public high-power and megawatt charging will be modelled in detail. Each modelled high-power charging station will be connected to the transmission system (e.g., Tesla Supercharger network). The individual charger demand profiles are summed at each station to create a station-level demand to be served by the power grid.  WP3.2 Future scenarios Extrapolate the supercharger network to 2030, 2035 and 2040 scenarios (e.g., using DfT"s predictions). The power flow analysis will be performed, assessing the spatial-temporal impacts of additional pulsating load demand from public fast and ultra-fast charging. WP4.1 Charging scenarios and their power requirements illustrating the broad range of charging options with an input from WP1.3.  Assumptions on the specific energy consumption and resulting charging energy needs will be evaluated for the following charging options: High-power and megawatt public charging along the motorway long-haul traffic (highly frequented charging stations). Public charging during resting periods (slower charging).  Remote semi-public and overnight charging (at the place of commercially loading/unloading of freight) and at the depot (destination). Commercial logistics hubs combining long-haul and short-haul trucks.  The methodology will consider analysis of highway traffic flow along with truck mobility patterns, stochastic simulation of truck arrivals (variation of the station density), charging infrastructure requirements, required grid connection power. Extreme scenarios of high traffic volume and low traffic volume will be considered.  Real data of Heavy-Duty Electric Fleet Depot Charging Load Profiles (15-min. average demand) from NREL will be used for this study.  WP4.2 Charging management, assess the 9-hours rest period (including overnight) charging management options, giving priority to fast charging and ultra-fast charging. The impact on the grid depends on the maximum number of eTrucks which are charging simultaneously. So, a charging management in combination with their respective rest period could mitigate this impact. We will use different traffic flow patterns and eTrucks fleet composition as case studies.  For thehighway charging use case, where eTrucks typically connect for shorter periods of time and drivers seek to charge as fast as possible within that window, charging management offers limited value so the impact on the grid will be higher.  WP4.3 Charging scenarios in combination with local stationary storage. Assess the minimum battery energy storage systems (BESS) required for reducing the charging peak power demand by considering the charging scenarios from WP4.1. This will use individual demand profiles of the previously analysed scenarios. Assessing savings in grid connection costs.  WP4.4 Charging scenarios in combination with local renewable generation. Scenarios will consider renewable generation installation at the site or depot charging in proximity with renewable generation (e.g., wind farms in rural area) to smooth the charging demand.  WP4.5 Charging scenarios in combination with both local BESS and renewable generation. Assessment of their performance in reducing peak demand and the impact on the grid will be explored. The main objectives of the project are: Detailed review of existing technologies, standards and regulations, commercially available solutions for high-power, megawatt charging. Modelling studies of the charging demand patterns for different charge types, generating electric trucks fleet charging load profiles. Forecast power demand and peak-demand from MCS of electric trucks. Analysis of the impact of high-power and megawatt charging on the grid. Evaluation of the whole system requirements for high-power and megawatt charging. Assess the performance of different mitigation systems to reduce the local concentrated peak demand. Validation of charger/battery models through laboratory experiments.
Abstract	There are sectors of the transport system, such as buses and heavy goods vehicles, which have proven challenging to electrify due to their high energy demands. The expected adoption of EVs is a challenge to networks across the globe as they expect to plan network to facilitate the demand growth followed by the transport electrification. Megawatt charging system of eTrucks has the potential to help plan the charging of eTrucks. This proposal aligns with the focus areas of our Innovation strategy. This project will investigate charging infrastructure and its impact on our network. The project will produce models that will accurately assess the impact of a roll out of EV Trucks across our license areas. The key deliverables will be shared with all RIIO licensed UK DNOs for their own use.
Data	No related datasets
Projects	No related projects
Publications	No related publications
Added to Database	02/10/24