Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Peak-shaving and profit-sharing model by Aggregators in residential buildings with PV- a case study in Eskilstuna, Sweden
KTH, School of Chemical Science and Engineering (CHE), Chemical Engineering and Technology, Energy Processes.
KTH, School of Chemical Science and Engineering (CHE), Chemical Engineering and Technology, Energy Processes. Mälardalen University, Sweden.ORCID iD: 0000-0003-0300-0762
2017 (English)In: Proceedings of the 9th International Conference on Applied Energy, Elsevier, 2017, Vol. 142, p. 3182-3193Conference paper, Published paper (Refereed)
Abstract [en]

Nowadays, photovoltaic (PV) system combined with energy storage systems is playing increasing significant role in residential buildings in Sweden. At the same time it brings reliability problems because of the intermittency of electricity production and exceptionally distributed reservoir which is followed by the peak-valley electricity prices and power grid fluctuations. There is an increasing need for new business model and economic paradigm for a third party aggregator to bridge the gap between Power Grid and end-users. Providing the valuable electricity services at scale and breaking regulatory arbitrage, aggregators help to deliver desired levels of residents' engagements, value-added services and feasible level of unbundling of electricity market. This paper analyzes how the aggregators grab the indisputable business opportunity to interact between residents and Power Grid from the perspective of physical electricity flows and benefits share of peak-shaving. We employ a real case in Eskilstuna in Sweden to design new business model and validate using data. And the result indicates the compatibility of the aggregator service and its business model. It further sheds light on the pricing model of generated electricity by PV system, and benefits share ratio design.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 142, p. 3182-3193
Series
Energy Procedia, ISSN 1876-6102 ; 142
Keywords [en]
Aggregators, Business Model, Distributed Benefits, Peak-Shaving, PV system
National Category
Energy Systems
Identifiers
URN: urn:nbn:se:kth:diva-224409DOI: 10.1016/j.egypro.2017.12.488Scopus ID: 2-s2.0-85041532112OAI: oai:DiVA.org:kth-224409DiVA, id: diva2:1191141
Conference
9th International Conference on Applied Energy, ICAE 2017, Cardiff, United Kingdom, 21 August 2017 through 24 August 2017
Funder
EU, Horizon 2020
Note

QC 20180316

Available from: 2018-03-16 Created: 2018-03-16 Last updated: 2018-03-16Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Zhang, YangYan, Jinyue

Search in DiVA

By author/editor
Zhang, YangYan, Jinyue
By organisation
Energy Processes
Energy Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 9 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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