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Dynamic modelling of electricity arbitrage for single-family homes: Assessing the cost-effectiveness of implementing Energy Storage and Demand-Side Load Management.
Linnaeus University, Faculty of Technology, Department of Built Environment and Energy Technology.
2023 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Sustainable development
SDG 7: Ensure access to affordable, reliable, sustainable and modern energy for all
Abstract [en]

In the context of electricity, arbitrage trading involves taking advantage of existing price variations within electricity markets. The report conducted financial modelling for energy storage systems and demand-side load management for electricity arbitrage trading in single-family homes. The analysis included two different energy storage systems: a thermal energy storage system and a battery energy storage system. Additionally, electricity spot cost reduction was compared between electricity arbitrage trading and traditional energy efficiency measures such as air-to-water and ground-source heat pumps.

The report's findings indicated that air-to-water and ground-source heat pumps emerged as the most economically viable choices for reducing electricity spot costs, irrespective of the studied electricity price area. The thermal energy storage system, employing an insulated hot water storage tank, ranked the third most efficient in achieving cost savings. The battery energy storage system, represented by a lithium home battery system, demonstrated the lowest rate of cost saving among the analyzed energy efficiency measures. 

The financial modelling highlighted the economic potential for thermal energy storage systems, particularly in southern Sweden's electricity price areas SE3 and SE4. On the other hand, no economically viable options for battery energy storage systems were identified, regardless of the studied electricity price area. As a results, the report recommends utilizing thermal energy storage systems and implementing demand-side load management as strategies to hedge against future electricity price volatility.

Place, publisher, year, edition, pages
2023.
Keywords [en]
Electricity arbitrage trading, intraday electricity market, energy storage system, demand-side load management, single-family homes, Nord Pool, building performance simulation (IDA Indoor Climate and Energy), financial modelling.
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:lnu:diva-124893OAI: oai:DiVA.org:lnu-124893DiVA, id: diva2:1800209
External cooperation
Energi- och Klimatrådgivningen i Blekinge och Tingsryd
Subject / course
Energiteknik
Educational program
Energy and Environment Programme with specialization in Bioenergy Technology, 180 credits
Supervisors
Examiners
Available from: 2023-09-28 Created: 2023-09-26 Last updated: 2023-09-28Bibliographically approved

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fulltext(2170 kB)296 downloads
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File name FULLTEXT01.pdfFile size 2170 kBChecksum SHA-512
6fe00359d481c0e34d2f0f9d2589b8905c1bbc0115a42a7ae5b60edaffcaccf5cd8ede5e22d43586e4a0a7b567f35d72e835dd6afeb8860cb636251c953bfb2c
Type fulltextMimetype application/pdf

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Department of Built Environment and Energy Technology
Energy Engineering

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf