• info@parsalandco.com
  • +989124000464
  • +989127093613
  • Home
  • Startups
  • Departments
    • Application Software Department
    • Architecture Department
    • Construction Department
    • Cryptocurrency Department
    • Decoration Department
    • Digital Investment Department
    • E-Commerce Department
    • Electronic Department
    • Energy Saving Department
    • Health Department
    • IOT Department
    • Mechanical Department
  • Top Projects
    • Green Power Generator
    • Green Marketing
    • Smart Animal Husbandry
  • Blog
  • about us
    • Ethics charter
Menu
  • Home
  • Startups
  • Departments
    • Application Software Department
    • Architecture Department
    • Construction Department
    • Cryptocurrency Department
    • Decoration Department
    • Digital Investment Department
    • E-Commerce Department
    • Electronic Department
    • Energy Saving Department
    • Health Department
    • IOT Department
    • Mechanical Department
  • Top Projects
    • Green Power Generator
    • Green Marketing
    • Smart Animal Husbandry
  • Blog
  • about us
    • Ethics charter

Smart ‘matrix’ will help the UK meet the energy needs of future electric vehicles

Home » Blog » Smart ‘matrix’ will help the UK meet the energy needs of future electric vehicles

New material offers necofriendly solutio to converting waste heat into energy
October 12, 2021
A More Efficient Home: How Smart Devices are Helping Make Greener Houses
A More Efficient Home: How Smart Devices are Helping Makge Greener Houses
October 13, 2021
October 12, 2021
Categories
  • Blockchain
Tags
  • electric vehicles
  • energy
electric vehicles

electric vehicles

A £2 million (US$2.7 million) machine-learning tool is creating a Matrix-like simulation of the electricity network in Southeast England. It has the potential to unlock energy capacity equivalent to 1,371 new rapid electric car chargers by 2028.

UK Power Networks’ Envision project is simulating how power is flowing through its networks across London, the South and the Southeast of England. From this data-led approach providing better ‘visibility’ of everything that is happening across hundreds of thousands of miles of network, the company will be able to run the network more efficiently and safely allow more low carbon technologies like heat pumps and EV chargers to connect.

Experts forecast Envision could release almost 70MW of electricity capacity by 2028, creating more space for EV chargers or low carbon heat pumps. This means engineers will not need to physically upgrade the network to release capacity, leading to significant cost and time savings: up to £4 million (US$5.4 million) in total over the next five years.

Connecting more electric car chargers and electric heat pumps is critical to tackling the climate crisis and reaching the UK’s ‘Net Zero’ carbon emissions target by 2050. There are currently more than 150,000 electric cars and 20,000 heat pumps in the areas served by UK Power Networks, but its analysis forecasts over 2.6million electric vehicles and 712,000 heat pumps by 2030. These need ‘space’ on the electricity network, so quickly and efficiently unlocking more capacity is a vital part of the network operator’s strategy.

Envision is building new predictive models that combine UK Power Networks’ data with external and real-time data from monitoring devices connected to substations. The machine learning algorithm will create a simulation of the electrical ‘load’ in specific areas and expand it across the entire network. Engineers will compare the simulation to real life physical monitors; feeding the software more and better data over time so the algorithm gets more accurate.

“Our customers rightly expect us to do everything we can to make the switch to electric cars and low carbon heating as affordable as possible,” says Ian Cameron, head of customer services and innovation at UK Power Networks. “Through Envision, we’re thinking outside the box and reimagining traditional ways of working, to make it happen.”

“The aim of the Envision model is to generate a ‘virtual sensing network’ that uses advanced data capabilities and machine learning to simulate the behaviour of the network at scale, accurately estimating changing network load profiles,” says Simone Torino, head of product and business development at CKDelta, which is collaborating on the project. “In a world where the uptake of new distributed energy resources and the increasing electrification of transport are impacting electrical demand and distribution network constraints like never before, having this type of modelling and predictive analytics capabilities is a game changer for the utilities sector and has potential to reshape how we approach demand and supply in other sectors such as transport.”

source:traffictechnologytoday

Related Post

  • Information for today’s “buildings of tomorrow”
  • Purdue Construction Robots Can Match Building Materials to BIM
  • History of architecture
  • COTI, STASIS integrate Chainlink to bridge CeFi-DeFi
  • Renewable energy
Share
4
Samin Rezaei
Samin Rezaei

Related posts

Nano Water Chip

Nano Water Chip

April 9, 2023

Nano Water Chip


Read more
January 30, 2023

Opportunity job in The Metaverse


Read more
Euphoria Spa

Euphoria Spa

January 16, 2023

Euphoria Spa


Read more
Neuralink brain chip
January 14, 2023

Neuralink brain chip


Read more

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

About Us

Parsaland Trading Company with many activities in the fields of import and export, investment consulting, blockchain consulting, information technology and building construction

Departments

  • Application Software
  • Architecture
  • Construction
  • Cryptocurrency
  • Decoration
  • E-Commerce
  • Electronic
  • Energy Saving
  • Health
  • IOT
  • Mechanical

Quick Link

  • Home
  • Startups
  • Blog
  • About Us

Contact Us

  • +989124000464
  • +989127093613
  • info@parsalandco.com
  • parsalandco-company
  • parsalandco_com
  • parsalandco_com