Skip to main content

LUP Student Papers

LUND UNIVERSITY LIBRARIES

Sustainable Data Storage

Bertilsson, Arvin Oliver LU and Högberg Henriksson, Sixten LU (2025) INTM01 20251
Innovation Engineering
Abstract
As electricity distribution companies face growing volumes of operational data, strategic data management becomes increasingly important. This thesis investigates how E.ON Sverige, a Swedish electricity distribution company, can manage its growing data volumes more efficiently and sustainably, both financially and environmentally. The study explores the regulatory requirements and internal stakeholders' needs to be considered, as well as the financial and environmental implications of a data storage strategy. Using Gioia’s methodology, insights were derived from interviews made with employees working in strategic, financial, operational, and sustainable roles at the company. The insights derived from the interviews lay the groundwork for a... (More)
As electricity distribution companies face growing volumes of operational data, strategic data management becomes increasingly important. This thesis investigates how E.ON Sverige, a Swedish electricity distribution company, can manage its growing data volumes more efficiently and sustainably, both financially and environmentally. The study explores the regulatory requirements and internal stakeholders' needs to be considered, as well as the financial and environmental implications of a data storage strategy. Using Gioia’s methodology, insights were derived from interviews made with employees working in strategic, financial, operational, and sustainable roles at the company. The insights derived from the interviews lay the groundwork for a hypothetical data storage model that balances compliance, usability, cost efficiency, and sustainability. The model’s implications in data granularity, access tiering and retention periods were assessed using the Triple Bottom Line framework. This investigates the balance between people (stakeholder needs), planet (emissions reductions) and profit (cost savings). The findings suggest that by implementing a well-designed data storage strategy, E.ON can significantly reduce storage related emissions and costs without compromising on operational capability or strategic insights. The thesis concludes by offering recommendations on what to consider when implementing a scalable data storage strategy that supports E.ON’s broader sustainability and digitalization goals. (Less)
Please use this url to cite or link to this publication:
author
Bertilsson, Arvin Oliver LU and Högberg Henriksson, Sixten LU
supervisor
organization
alternative title
Hållbar datalagring
course
INTM01 20251
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Cloud Storage, Digitalization, Electricity Distribution, Strategic Data Management, Sustainability, Triple Bottom Line
language
English
id
9195057
date added to LUP
2025-06-10 08:57:33
date last changed
2025-06-10 09:21:18
@misc{9195057,
  abstract     = {{As electricity distribution companies face growing volumes of operational data, strategic data management becomes increasingly important. This thesis investigates how E.ON Sverige, a Swedish electricity distribution company, can manage its growing data volumes more efficiently and sustainably, both financially and environmentally. The study explores the regulatory requirements and internal stakeholders' needs to be considered, as well as the financial and environmental implications of a data storage strategy. Using Gioia’s methodology, insights were derived from interviews made with employees working in strategic, financial, operational, and sustainable roles at the company. The insights derived from the interviews lay the groundwork for a hypothetical data storage model that balances compliance, usability, cost efficiency, and sustainability. The model’s implications in data granularity, access tiering and retention periods were assessed using the Triple Bottom Line framework. This investigates the balance between people (stakeholder needs), planet (emissions reductions) and profit (cost savings). The findings suggest that by implementing a well-designed data storage strategy, E.ON can significantly reduce storage related emissions and costs without compromising on operational capability or strategic insights. The thesis concludes by offering recommendations on what to consider when implementing a scalable data storage strategy that supports E.ON’s broader sustainability and digitalization goals.}},
  author       = {{Bertilsson, Arvin Oliver and Högberg Henriksson, Sixten}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Sustainable Data Storage}},
  year         = {{2025}},
}