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Concentrating Solar Power (CSP) plants can make a significant contribution to renewable energy supply in many regions of the world. Several bottom-up engineering performance models for CSP plants have been developed. However, they require the capacity of the plant to be known. In whole-of-grid optimization models, the capacity of the plants is an optimization variable and therefore not known in advance. In this case, researchers have taken a simplified modelling approach that overestimated CSP performance, especially for low-DNI conditions. In this paper, we offer a novel density-based engineering modelling approach in which CSP performance is determined independently of the capacity of the power plant, and which can be used in whole-of-grid optimization models. We investigate a case study of the site of the new Aurora CSP project in Port Augusta, South Australia, to be one of the world's largest solar thermal power plants by 2020. Using a Geographical Information System (GIS)-grid representation of Australia, we compare CSP performance resulting from a simplified model with our new approach. • A novel density-based engineering modelling approach for Concentrating Solar Power (CSP) plants. • CSP performance is determined independently of the capacity of the power plant. • The approach can be used in whole-of-grid optimisation models. • We investigate the site of the new Aurora CSP project in Port Augusta, South Australia to be constructed by 2020. • The new approach is compared to the simplified description of CSP performance, using a GIS-grid representation of Australia. [ABSTRACT FROM AUTHOR]