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.

1. NEW BUSINESS
MODELS &
DIGITALISATION IN
THE ENERGY
SECTOR
BUSINESS
DISSERTATION
PROPOSAL
PROPOSED TO
SCHOOL OF PETROLEUM
MANAGEMENT
AS PROPOSED BY
ARJUN REGHU
20191005
GUIDED BY
DR. PRAMOD PALIWAL
DEAN SPM PDPU

2. CKGROUND OF THE STUDY
This paper investigates the key technologies that underpin the digitisation of energy and
examines their potential impacts. The overarching objective of the paper is to 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.
Specifically, 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.
Almost all digital technologies and services rely on access to a large, representative and good
quality datasets. Data analytics require high-quality datasets for accuracy, while machine
learning and artificial intelligence (AI) are dependent on datasets for learning. Data in the
energy sector can be broadly divided into two groups: energy system data, consisting of
network, balancing and capacity datasets; and customer and supplier data, consisting of
billing, metering and usage datasets as well as personal data. the aim is to help energy
regulators calibrate their support new business models
PROBLEM
STATEMENT
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.
BACKGROUND OF THE
STUDY
BUSINESS DISSERTATION PROPOSAL 01

3. SIGNIFICANCE OF THE
STUDY
Modern society is dependent on a reliable supply of energy. The energy sector’s importance
for society is growing, and an interruption of the energy supply can paralyse vital functions
and processes. The energy system as a whole is a key infrastructure for value creation in
society. A transition is taking place in the energy landscape and energy systems. Profound
changes are anticipated along the entire energy value chain, from production to distribution to
consumption. New sources of production are being integrated into the grid, and solar and
wind power are gaining increasing sway among energy technologies, particularly
internationally. Centralised production solutions are being replaced by more decentralised
solutions. There is also a change in the energy demand, away from fossil fuels and towards
renewable energy. A strong trend towards electrification of the transport sector on land, at sea
and in the air is already underway.
These are strong drivers for the electricity supply sector and represent a shift in which the
demand for power (measured in watts) increases relative to the demand for energy (measured
in watt-hours). Also emerging is a marked development of hybrid propulsion solutions driven
by multiple energy carriers such as electricity, hydrogen and biofuels. Energy-efficient,
environment-friendly smart buildings and cities are emerging – and microgrids are being
developed with intelligent low-emission solutions. Most of the changes relate to the
consumption side of energy. Consumers will exert a greater influence on market design,
business models and the earning potential of industry actors. In the future, some aspects of
energy consumption will need to be adaptable to the variation in available production. This
constitutes a major change in the way the electricity system is currently run and will require
the extensive application of ICT. Cybernetics will play a key role in restructuring the power
grid to the smart grid of the future. Digitalisation will be a vital tool and a prerequisite for
safeguarding the security of supply and ensuring flexibility and cost-effective solutions for
the future energy system. (Besides, digitalisation is a key factor in achieving efficient
utilisation of the future’s various energy resources and integration of climate-friendly energy
technologies. A well-functioning digital energy system depends on an interplay between
technology, society, the environment, markets and consumers.)
BUSINESS DISSERTATION PROPOSAL 02

4. OBJECTIVE OF
THE STUDY
LITERATURE REVIEW
To Understand the importance of Digitization of Energy Supply Chain
Implementation of Digitized Business Models in the Energy Distribution Sector and
measure the impact.
Gauging the impact of Machine Learning, Cyber Security, Blockchain and Artificial
Intelligence in the Energy Sector
In this age of connectivity and mobility that has enhanced user-oriented patterns in every
aspect of life, there is an impending need to apply this concept to industries and more
specifically to a traditional industry like Energy Distribution.
This point of view is an enabler to the direction that will allow us to connect aspects of
Energy Distribution, leveraging the robust platform of Industrial Internet of Things (IIoT).
Current studies merely discuss the use and benefits lacking the impact on real-world
scenarios as we compare and validate new energy startups. We will be able to have a better
knowledge about the impact of digitalization.
BUSINESS DISSERTATION PROPOSAL 03

5. RESEARCH
METHODOLOGY
SCOPE AND
LIMITATION OF THE
STUDY
The research method will be secondary. Secondary research is a research method that
involves using already existing data. Existing data is summarized and collated to increase the
overall effectiveness of research.
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. Some government and non-government agencies
also store data that can be used for research purposes and can be retrieved from them.
Improvement in Efficiency in the energy sector
Risk Mitigating factors that can decrease the chance of Grid Failures due to rapid
Increase in Consumption.
Demand for explainable AI in the Energy sector due to its criticality to the welfare and
economic importance
Low availability of data, companies prefer to keep such data confidential.
Scope of the Study
Limitations
BUSINESS DISSERTATION PROPOSAL 04

6. REFERENCES
Andoni, M. et al. (2019) ‘Blockchain technology in the energy sector: A systematic review of challenges and
opportunities’, Renewable and Sustainable Energy Reviews. Pergamon, pp. 143–174.
doi:10.1016/j.rser.2018.10.014.
Ankura (2019) Cyber Attacks and the Energy Sector. Available at:
https://ankura.com/insights/cyber-attacks-and-the-energy-sector/ (Accessed: 17 October 2019).
Bichler, M. (2012) Smart Grids and the Energy Transformation: Mapping Smart Grid Activities in Germany
Carmichael, R., Gross, R. and Rhodes, A. (2018) Unlocking the potential of residential electricity consumer
engagement with Demand Response. Available at: http://imperial.ac.uk/energy-futures-lab
BUSINESS DISSERTATION PROPOSAL 05