AI DRIVEN ENERGY CLOUD Global energy sector is in the midst of a - - PowerPoint PPT Presentation

ai driven energy cloud global energy sector is in the
SMART_READER_LITE
LIVE PREVIEW

AI DRIVEN ENERGY CLOUD Global energy sector is in the midst of a - - PowerPoint PPT Presentation

AI DRIVEN ENERGY CLOUD Global energy sector is in the midst of a major transformation High penetration of renewables and dropping prices of batteries are disrupting trillion dollars energy infrastructure, by moving from centralized power plants


slide-1
SLIDE 1

AI DRIVEN ENERGY CLOUD

slide-2
SLIDE 2

High penetration of renewables and dropping prices of batteries are disrupting trillion dollars energy infrastructure, by moving from centralized power plants towards distributed energy resources

Global energy sector is in the midst of a major transformation

slide-3
SLIDE 3

RENEWABLES ENERGY STORAGE DIGITAL IoT SMARTGRID

Future is a clean, intelligent and distributed energy ecosystem

Energy disruption is mainly driven by a dropping prices of renewables and digitalization of the ecosystem

25% of world’s total energy by renewables by 2020*

* 2018 Global Status Report (GSR) by REN21

Grid-connected battery storage will grow to $14 billion by 2021*

* 2018 Energy Storage Outlook by MARKETS INSIDER

Millions of sensors and various IoT devices are installed every year Microgrids are the future of decentralized energy infrastructure

slide-4
SLIDE 4

Challenges to overcome towards smart and reliable grid

  • Intermittency challenges
  • Resiliency issues

Reliability Return of Investment Management Forecasting

  • Manpower interaction
  • Lack of control actions
  • Inefficient utilization
  • Long payback periods
  • Run to fail methods
  • Distributed Resources
slide-5
SLIDE 5

Generation Assets Smart buildings Peer2Peer trading Smart Microgrid

RESYNC virtual power plant for efficient smart grids

IoT & smart meters EVs and mobility

Manage all assets on the same platform

slide-6
SLIDE 6

MONITOR

Aggregation of real time performance data from Building loads, renewable energy assets and electricity tariffs

CONTROL AND OPTIMIZE

Take real time control actions on energy sources and controllable loads using our unique algorithms

MANAGE

All aggregated data is stored in highly secured database, where we perform data segregation and data analytics

ANALYSE AND PREDICT

Creating value for this data, we designed deep learning algorithms to adjust algorithms based

  • n the generation and consumption patters

VISUALISE

Interactive dashboard with real time performance data and individual energy asset

  • visualization. Customized APIs are provided

based on the request.

RESYNC’s AI based software optimization and real time control

slide-7
SLIDE 7

Product overview and features

slide-8
SLIDE 8

RESYNC’s business model easy to scale

  • B-to-B model targeting solar installers
  • Upfront cost + SaaS subscription

1 time $10 Billions SaaS

Upfront cost per installation Monthly Subscription per MWp Market size in APAC region

CUSTOMER

  • Each customer has multiple sites
slide-9
SLIDE 9

Emir Nurov CEO and co-founder

  • Dr. Jayantika Soni

CTO and co-founder Teck Moh Phey On-board Advisor Neo Jia Jun Data Scientist Matteo Chiampo On-board Advisor

World Bank Group

Jaydip Prajapati

  • Snr. Firmware Developer

Mohit Bhalshod Full Stack Developer Joe Akkira Electronics intern

We have the best team to deliver this solution

slide-10
SLIDE 10

Thank You

For more information please contact: email: info@resynctech.com tel: +65 8284 8214 visit: www.resynctech.com