On the design of renewable-based utility plants using time series clustering

Salvador I. Perez-Uresti, Ricardo Lima, Mariano Martin, Arturo Jimenez-Gutierrez

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This work addresses the design of utility plants incorporating technologies to process biomass, manure, solar radiation, and wind to generate steam and electricity. To capture the hourly and interannual variability of solar and wind resources, an optimization framework is proposed. The framework involves clustering methods to capture the variability of solar and wind resources and a multiperiod design optimization problem minimizing operating and investment costs. Results show that the number of representative days impacts both the minimum cost and the plant topology. To study this impact, a methodology using multiple samples of representative days and two approaches to select design solutions are proposed and discussed through extensive computational results. Overall, two plant topologies were identified, one integrating syngas and the other a biomass boiler. The biomass-based plant showed 1% lower investment and 10% lower operating costs but requires additional make-up power from an external grid.
Original languageEnglish (US)
Pages (from-to)108124
JournalCOMPUTERS & CHEMICAL ENGINEERING
Volume170
DOIs
StatePublished - Dec 31 2022

Bibliographical note

KAUST Repository Item: Exported on 2023-02-27
Acknowledgements: Support from the National Council for Science and Technology, CONACYT, Mexico, for a twelve-month stay of S.I. Pérez-Uresti at the University of Salamanca, Spain, is gratefully acknowledged, as well as the assistance of the KAUST and the PSEM3 research group.

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