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Entrepreneurship in Energy and Energy Efficiency:
Opportunities, Pitfalls, and Successes, in Kenya and Beyond
Dr. Jay Taneja
Research Scientist
IBM Research – Africa
taneja@ke.ibm.com
© 2015 International Business Machines Corporation 2
Outline of Today’s Talk
•  Background on energy and key concepts
•  Electricity supply in Africa
•  Important trends in the energy industry
•  Energy entrepreneurship – pitfalls, opportunities, and examples
© 2015 International Business Machines Corporation 3
Energy and society
•  A critical input to growth and prosperity
•  The electric grid is the most significant engineering achievement of the 20th century
•  An old and slow-moving industry – primed for disruption by IT
•  Enormous investment happening on the continent (USAID Power Africa, etc.)
•  A key driver of climate change – how can we improve energy access and quality while
avoiding catastrophic climate change?
–  China and India adding on average four coal plants per week
–  U.S. consumes 20%+ of oil, but has only 4% of world’s population
© 2015 International Business Machines Corporation 4
Some useful jargon and concepts in energy
•  Energy vs. Electricity
•  Energy (Joules/kWh), Power (Watts), Current (Amps), Voltage (Volts), Frequency (Hz)
•  Electricity: Alternating Current vs. Direct Current
•  Renewable vs. Non-renewable
•  Energy efficiency and energy conservation
•  Smart grid vs. Not-so-smart grid
•  Smart meters / Advanced Metering Infrastructure (AMI)
•  On-grid vs. Off-grid, electrification
•  Urban and rural
© 2015 International Business Machines Corporation 5
5"
Baseline(+(Dispatchable(Sources( Oblivious(Loads(
Communica+on"
Non9Dispatchable(Sources(
Communica+on"
Supply9Following(Loads(
Transmission"Genera+on" Demand"Distribu+on"
Towards an aware/smart electricity infrastructure
(Source: David Culler)
© 2015 International Business Machines Corporation 6
How is electricity produced in African grids?
0%
20%
40%
60%
80%
100%
1971
1974
1977
1980
1983
1986
1989
1992
1995
1998
2001
2004
2007
2010
%ofElectricitySupply
Nuclear
Coal
Natural Gas
Renewables
Oil/Diesel
Hydro
0%
20%
40%
60%
80%
100%
1971
1974
1977
1980
1983
1986
1989
1992
1995
1998
2001
2004
2007
2010
%ofElectricitySupply
Nuclear
Coal
Natural Gas
Renewables
Oil/Diesel
Hydro
Kenya Nigeria
(Source: The World Bank)
© 2015 International Business Machines Corporation 7
Rural and urban electrification disparity
!
20$30%!electri-ication!
in!Sub$Saharan!Africa!
(~600!million!lack!
access);!rate!varies!by!
country!and!by!source!!
!
Challenges: low
population density,
varying fuel costs, grid
connection costs,
demand outstrips supply
Rural Electrification Urban Electrification
© 2015 International Business Machines Corporation 8
An industry view: the electricity ecosystem in Kenya
(Source: Henry Gichungi, KPLC)
© 2015 International Business Machines Corporation 9
Trends in energy and electricity
•  The rise of natural gas and renewable generation
•  Emergence of demand-side grid resources
•  Enormous fluctuations in oil prices
•  Big investment into more generation, but for whose gain?
•  African grids not expanding quickly enough to improve access
•  Plummeting cost of solar and associated installation costs
•  Solar home systems powering AC and DC appliances
•  Batteries becoming affordable, and replacing diesel
•  Potential for microgrids for increasing electricity access and reliability
© 2015 International Business Machines Corporation 10
Scaling of technologies
(Source: Arun Majumdar)
© 2015 International Business Machines Corporation 11
Outline of Today’s Talk
•  Background on energy and key concepts
•  Electricity supply in Africa
•  Important trends in the energy industry
•  Energy entrepreneurship – pitfalls, opportunities, and examples
© 2015 International Business Machines Corporation 12
What is a startup?
Definition: A startup is an organization formed to search for a repeatable and
scalable business model.
“Success consists of going from failure to failure without loss of enthusiasm.”
Winston Churchill
(Source: Steve Blank - http://steveblank.com/2010/01/25/whats-a-startup-first-principles/)
© 2015 International Business Machines Corporation 13
Data Sources
• Twitter
• Power Meters
• Mobile Phone Chargers
• Reservoir and Power Data
(Kenya)
(Source: Javier Rosa, UCB)
Problem: electricity outages
•  Spatiotemporal distribution, driven by power
shortages, weather, operations, more?
•  Predicting outages is difficult, predicting
outage risk may be more realistic
•  Benefits: Guide utility upgrades/repair/
maintenance, inform consumers of outages
© 2015 International Business Machines Corporation 14
‒  API!for!change!in!power!state!(BatteryManager)!
‒  GPS!for!localization!
‒  Accelerometer/microphone!for!false!positive!detection!
‒  Microphone/API!for!AC!mains!detection!
‒  Smart!meter!bene-its!at!a!fraction!of!the!cost!
!
!
Smart
Phones
Possible solution: collecting outage data from mobile phones
© 2015 International Business Machines Corporation 15
Potential business models
•  Sell data to utilities
–  Pros: Simplest business model – interested in reducing operations cost and improving service
–  Open questions: How to distribute software? Why will end users install? What extent of coverage?
•  Sell predictions to electricity consumers
–  Pros: More potential customers, possible benefits from network effects
–  Open questions: To whom – residences, businesses? Are outage predictions useful? What is the benefit
of using phones over existing products?
•  Sell predictions to telcos/tower companies
–  Pros: Huge consumers of energy with potential to optimize, could partner to sell data to utilities
–  Open questions: Are outage data already in use at tower sites – can this be done in software? How does
maintenance work?
© 2015 International Business Machines Corporation 16
‒  API!for!change!in!power!state!(BatteryManager)!
‒  GPS!for!localization!
‒  Accelerometer/microphone!for!false!positive!detection!
‒  Microphone/API!for!AC!mains!detection!
‒  Smart!meter!bene-its!at!a!fraction!of!the!cost!
!
!
Smart
Phones
Feature
Phones
‒  Single$use!device!plugged!in!with!no!battery!
‒  Localization!done!a"priori"
‒  Dedicated!application!periodically!reports!presence!
‒  Absence!indicates!power!outage!
‒  Introduced!after!-inding!“holes”!in!smartphone!monitoring!
Possible additional solution: not only smartphones
© 2015 International Business Machines Corporation 17
Pitfalls
•  Not understanding your customers
•  Improperly identifying your competitors
•  Not considering competitive advantages
•  Taking too long to test an idea, or failure to measure your tests
•  Focusing on the wrong opportunities – too little impact or too small of a problem
•  Devices – challenges of manufacturing, maintenance, and cost
•  Crowdsourcing – challenges of bootstrapping, incentivization, and data quality
•  Partners – challenges of motivation and competition
Trust (your intuition) but verify (its relevance and scale)
© 2015 International Business Machines Corporation 18
Energy + IT startup examples
(Ukraine) / (Brazil) – uses single hardware device to monitor
residential mains electricity, discerning all individual appliances and recommending
conservation/efficiency measures
(USA) – collaborates with utility to monitor customers’ smart meter data to
recommend conservation/efficiency measures
(USA) – uses Bluetooth-enabled sensor connected to car OBD-II port to
provide driver feedback for improving acceleration and braking habits
(USA) – connects officeworkers to building climate
management systems entirely via software to improve comfort and reduce energy
© 2015 International Business Machines Corporation 19
Nest: Learning occupant patterns in the home
•  Introduced in 2011, Nest is a learning thermostat
•  Includes WiFi and sensors for temperature and motion
•  Learns models of room and home heating, user patterns,
and energy costs
•  Improves heating performance and reduces energy spent
with more experience
•  Incorporates lessons learned from millions of thermostats
•  Sold to Google in January, 2014, for $3.2bn
Energy and IT startups have real value.
© 2015 International Business Machines Corporation 20
Questions?
Jay Taneja
taneja@ke.ibm.com

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Entrepreneurship Forum: Dr. Jay Taneja, Senior Research Scientist at IBM Research - Africa

  • 1. Entrepreneurship in Energy and Energy Efficiency: Opportunities, Pitfalls, and Successes, in Kenya and Beyond Dr. Jay Taneja Research Scientist IBM Research – Africa taneja@ke.ibm.com
  • 2. © 2015 International Business Machines Corporation 2 Outline of Today’s Talk •  Background on energy and key concepts •  Electricity supply in Africa •  Important trends in the energy industry •  Energy entrepreneurship – pitfalls, opportunities, and examples
  • 3. © 2015 International Business Machines Corporation 3 Energy and society •  A critical input to growth and prosperity •  The electric grid is the most significant engineering achievement of the 20th century •  An old and slow-moving industry – primed for disruption by IT •  Enormous investment happening on the continent (USAID Power Africa, etc.) •  A key driver of climate change – how can we improve energy access and quality while avoiding catastrophic climate change? –  China and India adding on average four coal plants per week –  U.S. consumes 20%+ of oil, but has only 4% of world’s population
  • 4. © 2015 International Business Machines Corporation 4 Some useful jargon and concepts in energy •  Energy vs. Electricity •  Energy (Joules/kWh), Power (Watts), Current (Amps), Voltage (Volts), Frequency (Hz) •  Electricity: Alternating Current vs. Direct Current •  Renewable vs. Non-renewable •  Energy efficiency and energy conservation •  Smart grid vs. Not-so-smart grid •  Smart meters / Advanced Metering Infrastructure (AMI) •  On-grid vs. Off-grid, electrification •  Urban and rural
  • 5. © 2015 International Business Machines Corporation 5 5" Baseline(+(Dispatchable(Sources( Oblivious(Loads( Communica+on" Non9Dispatchable(Sources( Communica+on" Supply9Following(Loads( Transmission"Genera+on" Demand"Distribu+on" Towards an aware/smart electricity infrastructure (Source: David Culler)
  • 6. © 2015 International Business Machines Corporation 6 How is electricity produced in African grids? 0% 20% 40% 60% 80% 100% 1971 1974 1977 1980 1983 1986 1989 1992 1995 1998 2001 2004 2007 2010 %ofElectricitySupply Nuclear Coal Natural Gas Renewables Oil/Diesel Hydro 0% 20% 40% 60% 80% 100% 1971 1974 1977 1980 1983 1986 1989 1992 1995 1998 2001 2004 2007 2010 %ofElectricitySupply Nuclear Coal Natural Gas Renewables Oil/Diesel Hydro Kenya Nigeria (Source: The World Bank)
  • 7. © 2015 International Business Machines Corporation 7 Rural and urban electrification disparity ! 20$30%!electri-ication! in!Sub$Saharan!Africa! (~600!million!lack! access);!rate!varies!by! country!and!by!source!! ! Challenges: low population density, varying fuel costs, grid connection costs, demand outstrips supply Rural Electrification Urban Electrification
  • 8. © 2015 International Business Machines Corporation 8 An industry view: the electricity ecosystem in Kenya (Source: Henry Gichungi, KPLC)
  • 9. © 2015 International Business Machines Corporation 9 Trends in energy and electricity •  The rise of natural gas and renewable generation •  Emergence of demand-side grid resources •  Enormous fluctuations in oil prices •  Big investment into more generation, but for whose gain? •  African grids not expanding quickly enough to improve access •  Plummeting cost of solar and associated installation costs •  Solar home systems powering AC and DC appliances •  Batteries becoming affordable, and replacing diesel •  Potential for microgrids for increasing electricity access and reliability
  • 10. © 2015 International Business Machines Corporation 10 Scaling of technologies (Source: Arun Majumdar)
  • 11. © 2015 International Business Machines Corporation 11 Outline of Today’s Talk •  Background on energy and key concepts •  Electricity supply in Africa •  Important trends in the energy industry •  Energy entrepreneurship – pitfalls, opportunities, and examples
  • 12. © 2015 International Business Machines Corporation 12 What is a startup? Definition: A startup is an organization formed to search for a repeatable and scalable business model. “Success consists of going from failure to failure without loss of enthusiasm.” Winston Churchill (Source: Steve Blank - http://steveblank.com/2010/01/25/whats-a-startup-first-principles/)
  • 13. © 2015 International Business Machines Corporation 13 Data Sources • Twitter • Power Meters • Mobile Phone Chargers • Reservoir and Power Data (Kenya) (Source: Javier Rosa, UCB) Problem: electricity outages •  Spatiotemporal distribution, driven by power shortages, weather, operations, more? •  Predicting outages is difficult, predicting outage risk may be more realistic •  Benefits: Guide utility upgrades/repair/ maintenance, inform consumers of outages
  • 14. © 2015 International Business Machines Corporation 14 ‒  API!for!change!in!power!state!(BatteryManager)! ‒  GPS!for!localization! ‒  Accelerometer/microphone!for!false!positive!detection! ‒  Microphone/API!for!AC!mains!detection! ‒  Smart!meter!bene-its!at!a!fraction!of!the!cost! ! ! Smart Phones Possible solution: collecting outage data from mobile phones
  • 15. © 2015 International Business Machines Corporation 15 Potential business models •  Sell data to utilities –  Pros: Simplest business model – interested in reducing operations cost and improving service –  Open questions: How to distribute software? Why will end users install? What extent of coverage? •  Sell predictions to electricity consumers –  Pros: More potential customers, possible benefits from network effects –  Open questions: To whom – residences, businesses? Are outage predictions useful? What is the benefit of using phones over existing products? •  Sell predictions to telcos/tower companies –  Pros: Huge consumers of energy with potential to optimize, could partner to sell data to utilities –  Open questions: Are outage data already in use at tower sites – can this be done in software? How does maintenance work?
  • 16. © 2015 International Business Machines Corporation 16 ‒  API!for!change!in!power!state!(BatteryManager)! ‒  GPS!for!localization! ‒  Accelerometer/microphone!for!false!positive!detection! ‒  Microphone/API!for!AC!mains!detection! ‒  Smart!meter!bene-its!at!a!fraction!of!the!cost! ! ! Smart Phones Feature Phones ‒  Single$use!device!plugged!in!with!no!battery! ‒  Localization!done!a"priori" ‒  Dedicated!application!periodically!reports!presence! ‒  Absence!indicates!power!outage! ‒  Introduced!after!-inding!“holes”!in!smartphone!monitoring! Possible additional solution: not only smartphones
  • 17. © 2015 International Business Machines Corporation 17 Pitfalls •  Not understanding your customers •  Improperly identifying your competitors •  Not considering competitive advantages •  Taking too long to test an idea, or failure to measure your tests •  Focusing on the wrong opportunities – too little impact or too small of a problem •  Devices – challenges of manufacturing, maintenance, and cost •  Crowdsourcing – challenges of bootstrapping, incentivization, and data quality •  Partners – challenges of motivation and competition Trust (your intuition) but verify (its relevance and scale)
  • 18. © 2015 International Business Machines Corporation 18 Energy + IT startup examples (Ukraine) / (Brazil) – uses single hardware device to monitor residential mains electricity, discerning all individual appliances and recommending conservation/efficiency measures (USA) – collaborates with utility to monitor customers’ smart meter data to recommend conservation/efficiency measures (USA) – uses Bluetooth-enabled sensor connected to car OBD-II port to provide driver feedback for improving acceleration and braking habits (USA) – connects officeworkers to building climate management systems entirely via software to improve comfort and reduce energy
  • 19. © 2015 International Business Machines Corporation 19 Nest: Learning occupant patterns in the home •  Introduced in 2011, Nest is a learning thermostat •  Includes WiFi and sensors for temperature and motion •  Learns models of room and home heating, user patterns, and energy costs •  Improves heating performance and reduces energy spent with more experience •  Incorporates lessons learned from millions of thermostats •  Sold to Google in January, 2014, for $3.2bn Energy and IT startups have real value.
  • 20. © 2015 International Business Machines Corporation 20 Questions? Jay Taneja taneja@ke.ibm.com