Analysing the role of roof mounted BIPV system optimization on decreasing the effect of duck curve in Perth, Western Australia: An experimental case study

Saleh Kaji Esfahani, Rosangela Tenorio*, Ali Karrech, Katia Defendi, Fernando Jerez

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

This paper optimizes roof shape and associated Building Integrated Photovoltaic (BIPV) mounting strategies based on the newly announced feed-in tariff pricing range in Western Australia to confirm hypothesised benefits and potential influence on grid consumption reduction. Through analysis of a residential building in Perth, the study looks at: the current status of consumption, solar production, and energy balance. An Evolutionary Algorithm (EA) approach is deployed to optimize roof shape for each month and one whole year, with the aim of maximizing financial return by selling extra produced power to the grid. We have found that the optimized form has a tilt angle of 35.9° from horizontal and an azimuth angle of 47° toward the northwest. To compare the effectiveness of the newly announced tariff pricing, an analysis of economic benefits has been carried out comparing the ability of base case and optimized roof shapes to balance production and consumption surpluses and deficits. The outcome exemplifies the positive effect of an optimized roof shape that could supply 16% higher solar production than the base case shape. The current work provides practical guidelines for engineers, architects and researchers to design more suitably built environments.

Original languageEnglish
Article number101328
JournalSustainable Energy Technologies and Assessments
Volume47
DOIs
StatePublished - Oct 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 Elsevier Ltd

Keywords

  • Duck Curve
  • Energy Balance
  • Evolutionary Algorithm
  • Payback Period
  • Roof Form Optimization

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology

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