https://www.mdu.se/

mdu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
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
Modelling pavement photovoltaic arrays with cellular automata
Department of Electrical and Electronic Engineering, Imperial College London, London, SW7 2AZ, United Kingdom.
School of Electrical Engineering, Chongqing University, Chongqing, 400044, China.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Hong Kong.ORCID iD: 0000-0003-0300-0762
2023 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 330, article id 120360Article in journal (Refereed) Published
Abstract [en]

This paper proposes a dynamic modelling of two-lane pavement photovoltaic (PV) arrays based on cellular automata theory, and the influence of random vehicle shadows on the output characteristics is explored and analysed. In the proposed model, a mathematical model of two-lane pavement PV array is established with considering the influence of bypass diodes and blocking diodes. In order to characterize the change of irradiation intensity caused by vehicle shadow, an asymmetric two-lane Nagel-Scheckenberg (ATNS) model is introduced in the driving process of vehicles. Moreover, the vehicle position at each time is obtained to further establish the randomly changing vehicle shadow matrix. The actual irradiance matrix can be obtained by combining vehicle shadow matrix with the irradiance matrix related to the external environment, and then a dynamic model of two-lane pavement PV arrays is established. To evaluate the effectiveness of the proposed model, the influence of the slowing probability and shading degree on the proposed model is analysed, where three representative scenarios are set to study the randomness of vehicle shading and its effects. Finally, simulations and experiments are conducted and the results show that the slowing probability and shading degree are the key two factors on the output characteristics of two-lane pavement PV arrays, and the dynamic random vehicle shadows significantly affect the output characteristics, resulting in a changing multi-peak state of the power-voltage curve and the global maximum power point being in a floating fast-changing state. © 2022

Place, publisher, year, edition, pages
Elsevier Ltd , 2023. Vol. 330, article id 120360
Keywords [en]
Cellular automata, Dynamic random vehicle shading, Output characteristics, Pavement PV arrays
National Category
Energy Systems
Identifiers
URN: urn:nbn:se:mdh:diva-61154DOI: 10.1016/j.apenergy.2022.120360ISI: 001026367800001Scopus ID: 2-s2.0-85142740815OAI: oai:DiVA.org:mdh-61154DiVA, id: diva2:1717056
Available from: 2022-12-07 Created: 2022-12-07 Last updated: 2023-07-26Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Yan, Jinyue

Search in DiVA

By author/editor
Yan, Jinyue
By organisation
Future Energy Center
In the same journal
Applied Energy
Energy Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 54 hits
CiteExportLink to record
Permanent link

Direct link
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