Dataset for the Manuscript: Addressing extreme weather events for the renewable power-water-heating sectors in Neom, Saudi Arabia

This dataset contains the input data used in the manuscript:
"Addressing extreme weather events for the renewable power-water-heating sectors in Neom, Saudi Arabia."
by Jefferson A. Riera, Ricardo M. Lima, Justin Ezekiel, P. Martin Mai, Omar Knio.

The Excel document "Economic_and_Technical Parameters.xlsx" contains technical and economic parameters for all technologies in the power, water, and heat sectors.

The folder "model_inputs_no_extremes" contains capacity factors for PV and wind turbines, the COP of air-source heat pumps, the DNI received at CSP facilities, the demand for water, power, and heat, and the weights of the representative days. This data is used for the first iteration of design optimization of the framework presented in the manuscript.

The folder "model_inputs_FTS" contains capacity factors for PV and wind turbines, the COP of air-source heat pumps, the DNI received at CSP facilities, and the demand for water, power, and heat for the entire 10 years at an hourly resolution. The weight of each day is assumed to be 1/365. This data is used for simulation operations (of all iterations) of the framework presented in the manuscript.

The folder "model_inputs_extremes" contains capacity factors for PV and wind turbines, the COP of air-source heat pumps, the DNI received at CSP facilities, the demand for water, power, and heat, and the weights of the representative days and the extreme day. This data is used for the second iteration of design optimization of the framework presented in the manuscript.

The Excel document "Results_Data.xlsx" contains the data to generate the figures in the manuscript.