Publication Date:
2019
Description:
〈p〉Publication date: October 2019〈/p〉
〈p〉〈b〉Source:〈/b〉 Renewable and Sustainable Energy Reviews, Volume 114〈/p〉
〈p〉Author(s): Moslem Yousefzadeh, Manfred Lenzen〈/p〉
〈div xml:lang="en"〉
〈h5〉Abstract〈/h5〉
〈div〉
〈p〉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.〈/p〉
〈p〉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.〈/p〉
〈/div〉
〈/div〉
Print ISSN:
1364-0321
Electronic ISSN:
1879-0690
Topics:
Energy, Environment Protection, Nuclear Power Engineering
