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Artificial intelligenceMarket In India-Energy Sector
January-2020
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Overview of AI In Energy Sector driving today’s breakthrough
Table ofcontents
What perspectives for AI in the P&U Industry?
The use cases in the market today
Companies, working with AI Technology in the power sector-India
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The Energy sector faces a number of threats and challenges to its existingmodel – AI offers tools to help adapt
A great energy disruptionData revolution► Massive increase of data► Multiple sources of data
Digitalisation and Technology► Digitalisation along the P&U value
chain while ensuring safety fromcyber-attacks
► Exponentially improving newtechnologies efficiency
1A cleaner Energy mixClean Energy► Solar and wind farms► Mass-market electric vehicles
New Industry, new possibilities► Energy storage► Classical energy sources slowdown
Unpredictability and reliability issues► Renewables power sources are less
predictable► Maintain a secure, reliable
supply to customers
2A complex business modelNew business models► New business models to low-carbon
energy generation► Development of new products and
services
Competitive and deregulated P&Uecosystem► Opening the market to increasing
levels of competition
High volatility of costs► Continuous assessment of supply
and demand based on price signals
3Utilities need to resolve some fundamental issues:
P&U: power and utilities
SB1SB2SB3
Slide 3
SB1 1. UDAY 1.0 , 2.0 , IPDS ERP and RAPDRP Refresh (CCB, GIS etc)Sachin Bhardwaj, 13-01-2020
SB2 2. SOlar Target set and status, Thermal News (NTPC Will not setup any new thermal), BESS - Policy?, Reliability - NationalTariff policy Draft (Source)Sachin Bhardwaj, 13-01-2020
SB3 3. Carbon emission policy, paris agreement, Wire and retail seperation (Draft) EA 2014 (Draft), Privatise Discoms (News),RisingPower Purchase Costs (Search)Sachin Bhardwaj, 13-01-2020
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Overview of AI In Energy Sector driving today’s breakthrough
Table ofcontents
What perspectives for AI in the P&U Industry?
The use cases in the market today
Companies, working with AI Technology in the power sector-India
Page 5
How can utilities take advantage of AI in each section of the value chain?
Customer servicesSupply and demandbalancing
► Create new energy tradingcapabilities (modelling andforecasting of electricityprices)
Power generationDistribution systems
and Smart Grids
► Enable new generationmodels (DER, REN…)supporting the growth ofnew energy usages (Storage,EV,…)
► Maximize power generationefficiency with real timeadjustments
► Tackle uncertainty andunpredictability grids(consumption peaks, faultdetection…)
Reduce operating costs :► Enable predictive maintenance with smart operations management
(maintenance, security, monitoring…)► Minimize downtime with data management on the grid (supervision,
monitoring, autonomous piloting)
► Create new powerecosystems based on newways to produce andconsume power (e.g. Micro-grid) ► Improve demand and supply
balance using self-learningprediction models
► Perform short-term and long-term forecasting of spotprices based on variousfactors
► Provide autonomousresponse to market signalswith continuous assessmentof supply and demand
► Improve Customer retention dueto better understanding of hisbehaviour
► Provide new energy solutions tooptimise business consumption
► Commercialise new tailoredservices that suit customerspreferences (best pricing, energysupply, virtual agents)
► Pilot energy consumption withautonomous smart systems
Marketing
Energy services
Top line AI capability
Bottom line AI capability
SB4
Slide 5
SB4 Power Gen :Sachin Bhardwaj, 13-01-2020
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Overview of AI In Energy Sector driving today’s breakthrough
Table ofcontents
What perspectives for AI in the P&U Industry?
The use cases in the market
Companies, working with AI Technology in the power sector-India
Page 7
Smart Metering Analytics – Use Cases and VAS
Planning Analytics for Meter Deployment
Operational Efficiency Analytics
Customer Analytics
Revenue Leakage Analytics
Advanced Forecasting
Analytics driven Decision Support Dashboard
Grievance analytics
SmartMetering
Securitydeposit dueto increasedsanctioned
load
Crash billingsystem
OutageManagement
TOD Metering/Consumption
Analysis
Loadbalancing
Readingreversecases
analysis
Analytics Use Cases Value Added Services (VAS)
Revenue Increase,reduction in risk
of bad debt
IncreaseWorkingCapital
RevenueIncrease
CostOptimization
NetworkOptimization
RevenueIncrease
VAS for consumers would also be provided such as Insurance of Appliances, Energy Efficiency, Surge Protection etc.
Karnataka
Himachal Pradesh
Assam
West Bengal
Tripura
Telangana
Puducherry
Gujarat
Chandigarh
UP
40L
10L
2L
2L5L
20L
30 L
4L(3L)
10L (1L)
States currently implementingsmart metering projects
States undergoing a selectionprocess/Bidding
States planning to implementsmart metering projects in thenear future
Maharashtra10 L
1L
0.7k
3L
10L
10L
50K
1L
2 L
J&K
Rajasthan
Punjab
Chhattisgarh
MP
Haryana
Bihar
AP
Kerala
Jharkhand Manipur
2L
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Predictive maintenance and identify cable faults due to insulation breakdown or faulty joints
§ Reduce power cuts due to equipment wear
§ Reduce time to fix the power cuts by improving detection ofgrid dysfunctions
Which challenge is addressed in this use case?
AI in Underground Cable Fault Analytics- Use Cases
Dashboard with Risk categorization of assets with load profile ofeach asset
Asset Cost Vs Spend Analysis for each asset and supplier giving you totalcost of ownership vendor wise
Distribution of work orders month wise for each asset Cost spent on each type of work order across the months for a givenasset or type
§ Proactive alerts for likely underground cable faults with best possible levelof corrective actions
§ Identify the potential impacts of cable fault failures on rest of grid network
§ Identify locations where failure might occur and to provide early warningsigns of cable failures
§ Risk classification of cables based on their health parameters and generatenotifications if required
WHAT breakthrough does AI bring to the use case?
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Overview of AI In Energy Sector driving today’s breakthrough
Table ofcontents
What perspectives for AI in the P&U Industry?
The use cases in the market
Companies, working with AI Technology in the power sector-India
Page 10
Companies Leveraging AI applications
Mature applications: examples and benefits realized
Offering real-time energy management to offer a fully integratedend to end decision support system
With cloud-based solutions and analytics, application help to reducetheir power cost
Helping solar firms, how much solar can be installed and generateengineering design that maximises solar energy generation
Facilitate consumers with itemised billing, customer engagementplatform, personalised energy saving recommendations
With tools in UAVs, IoT enabled devices, providing accurateinformation to stakeholders while monitoring solar plant cost,locates hotspots with thermal scans and more.
Using technologies such as automated metering and big dataanalytics, it connects electricity meter to phone generating real-time insights about energy usage and house activity.
13%
38%
Multiple use cases at scale*Source: Capgemini Research Institute Intelligent Automation in Energy and Utilities Survey,February 2019, N=529 executives from energy and utilities organizations that are experimenting withor implementing intelligent automation initiatives.
*Multiple use cases at scale are defined as intelligent automation initiatives deployed across multipleprocesses and across the breadth of the countries the company operates in.
PROPORTION OF ORGANIZATIONSIMPLEMENTING AUTOMATION AT SCALE
IN INDIA
Key Area Take Away for Energy Sector In IndiaØ AI has the potential to add approximately USD 1 trillion by 2035. Globally,
India ranks third, right behind China and the US, in terms of penetration ofAI skills.
Ø In survey of state power distributors, only two states, Tamil Nadu andGujarat, prioritized predictive load balancing.
Ø Indian firms in this space utilizing machine learning like Climate ConnectØ Gujarat Electricity Regulation Commission recently announced new
regulations that permit day-ahead and intra-day scheduling changes forrenewables—up to 9 times a day for solar generators and up to 16 times aday for wind generators..
Survey: Centre for Strategic and International Studies