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NEW BUSINESS
MODELS &
DIGITALIZATION IN
THE ENERGY SECTOR
BUSINESS DISSERTATION PROPOSAL
S C H O O L O F P E T R O L E U M M A N A G E M E N T
GUIDED BY
DR. PRAMOD PALIWALDEAN SCHOOL OF PERTROLEUM MANAGEMENT
PANDIT DEENDAYAL PETROLEUM UNIVERSITY
This paper investigates the key technologies that underpin the
digitisation of energy and examines their potential impacts.
Understand the effects new technologies will have on the current
energy system,
The new challenges they will pose, and the policies and regulatory
measures which will assist in making them a success.
This paper considers four technological areas of digitalisation: big
data; machine learning and AI; the Internet of things; and
distributed ledger technology, often referred to as the blockchain.
BACKGROUND OF THE
STUDY
NEW BUSINESS MODELS & DIGITALIZATION IN THE ENERGY SECTOR
Vast amounts of data can be generated at all stages of the energy supply
chain, with the creation and use of computerised information and
processing, It promises a lot for every segment of the energy ecosystem:
households, prosumers, distribution, transmission, generation and retail
and is frequently stated as likely to lead to a transformation of the energy
system.
How well smart energy, the Internet of Things (IoT) and Blockchain
Technology can transform the energy sector by looking at the business
models of 40 interesting new start-up energy companies from around the
world.
PROBLEM STATEMENT
NEW BUSINESS MODELS & DIGITALIZATION IN THE ENERGY SECTOR
ARJUN REGHU
OBJECTIVES OF THE STUDY
IMPACT
To Gauge the impact of
Machine Learning, Cyber
Security, Blockchain and
Artificial Intelligence in the
Energy Sector
IMPORTANCE
To Understand the
importance of Digitization
of Energy Supply Chain
IMPLEMENTATION
To study how to Implement
Digitized Business Models in
the Energy Distribution
Sector
NEW BUSINESS MODELS & DIGITALIZATION IN THE ENERGY SECTOR
Secondary research includes research
material published in research reports and
similar documents.
These documents can be made available by
public libraries, websites, data obtained
from already filled in surveys etc.
RESEARCH
METHODOLOGY
Secondary Data
NEW BUSINESS MODELS & DIGITALIZATION IN THE ENERGY SECTOR
exploratory
OUTCOME
Unferstanding effects of Digitalization in
gaining Competitive Advantage
EFFECT
Understanding the Improvement in
Efficiency in the energy sector
IMPROVEMENTS
Future of Digitalization of Power sector
FUTUREDemand for explainable AI in the Energy
sector due to its criticality to the welfare
and economic importance
DEMAND
Difficult to predict the outcome & provide
accurate suggestions as the reliability of
the data will be very less.
Nature of data obtained from the
secondary sources
LIMITATIONS OF
RESEARCH
NEW BUSINESS MODELS & DIGITALIZATION IN THE ENERGY SECTOR
REFERENCES
Andoni, M. et al. (2019) ‘Blockchain technology in the energy sector: A systematic
Ankura (2019) Cyber Attacks and the Energy Sector. Available at:https://ankura.com
Bichler, M. (2012) Smart Grids and the Energy Transformation: Mapping Smart Grid
Carmichael, R., Gross, R. and Rhodes, A. (2018) Unlocking the potential of residential
review of challenges andopportunities’, Renewable and Sustainable Energy
Reviews. Pergamon, pp. 143–174. doi:10.1016/(Accessed: 17 October 2020).
/insights/cyber-attacks-and-the-energy-sector/ (Accessed: 17 October 2020).
Activities in Germany/(Accessed: 17 October 2020)
electricity consumer engagement with Demand Response. Available at:
http://imperial.ac.uk/energy-futures-lab/(Accessed: 17 October 2020)
NEW BUSINESS MODELS & DIGITALIZATION IN THE ENERGY SECTOR
ARJUN REGHU20191005

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NEW BUSINESS MODELS & DIGITALIZATION IN THE ENERGY SECTOR

  • 1. NEW BUSINESS MODELS & DIGITALIZATION IN THE ENERGY SECTOR BUSINESS DISSERTATION PROPOSAL S C H O O L O F P E T R O L E U M M A N A G E M E N T
  • 2. GUIDED BY DR. PRAMOD PALIWALDEAN SCHOOL OF PERTROLEUM MANAGEMENT PANDIT DEENDAYAL PETROLEUM UNIVERSITY
  • 3. This paper investigates the key technologies that underpin the digitisation of energy and examines their potential impacts. Understand the effects new technologies will have on the current energy system, The new challenges they will pose, and the policies and regulatory measures which will assist in making them a success. This paper considers four technological areas of digitalisation: big data; machine learning and AI; the Internet of things; and distributed ledger technology, often referred to as the blockchain. BACKGROUND OF THE STUDY NEW BUSINESS MODELS & DIGITALIZATION IN THE ENERGY SECTOR
  • 4. Vast amounts of data can be generated at all stages of the energy supply chain, with the creation and use of computerised information and processing, It promises a lot for every segment of the energy ecosystem: households, prosumers, distribution, transmission, generation and retail and is frequently stated as likely to lead to a transformation of the energy system. How well smart energy, the Internet of Things (IoT) and Blockchain Technology can transform the energy sector by looking at the business models of 40 interesting new start-up energy companies from around the world. PROBLEM STATEMENT NEW BUSINESS MODELS & DIGITALIZATION IN THE ENERGY SECTOR
  • 5. ARJUN REGHU OBJECTIVES OF THE STUDY IMPACT To Gauge the impact of Machine Learning, Cyber Security, Blockchain and Artificial Intelligence in the Energy Sector IMPORTANCE To Understand the importance of Digitization of Energy Supply Chain IMPLEMENTATION To study how to Implement Digitized Business Models in the Energy Distribution Sector NEW BUSINESS MODELS & DIGITALIZATION IN THE ENERGY SECTOR
  • 6. Secondary research includes research material published in research reports and similar documents. These documents can be made available by public libraries, websites, data obtained from already filled in surveys etc. RESEARCH METHODOLOGY Secondary Data NEW BUSINESS MODELS & DIGITALIZATION IN THE ENERGY SECTOR exploratory
  • 7. OUTCOME Unferstanding effects of Digitalization in gaining Competitive Advantage EFFECT Understanding the Improvement in Efficiency in the energy sector IMPROVEMENTS Future of Digitalization of Power sector FUTUREDemand for explainable AI in the Energy sector due to its criticality to the welfare and economic importance DEMAND
  • 8. Difficult to predict the outcome & provide accurate suggestions as the reliability of the data will be very less. Nature of data obtained from the secondary sources LIMITATIONS OF RESEARCH NEW BUSINESS MODELS & DIGITALIZATION IN THE ENERGY SECTOR
  • 9. REFERENCES Andoni, M. et al. (2019) ‘Blockchain technology in the energy sector: A systematic Ankura (2019) Cyber Attacks and the Energy Sector. Available at:https://ankura.com Bichler, M. (2012) Smart Grids and the Energy Transformation: Mapping Smart Grid Carmichael, R., Gross, R. and Rhodes, A. (2018) Unlocking the potential of residential review of challenges andopportunities’, Renewable and Sustainable Energy Reviews. Pergamon, pp. 143–174. doi:10.1016/(Accessed: 17 October 2020). /insights/cyber-attacks-and-the-energy-sector/ (Accessed: 17 October 2020). Activities in Germany/(Accessed: 17 October 2020) electricity consumer engagement with Demand Response. Available at: http://imperial.ac.uk/energy-futures-lab/(Accessed: 17 October 2020) NEW BUSINESS MODELS & DIGITALIZATION IN THE ENERGY SECTOR