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Data · dataset · 2020

Data for: Parallelized Multi-level Optimization Model with Continuous Search Domain for Selection of Run-of-river Hydropower Projects

Listed in Teesside University Research Data Repository

This folder contains the code for the Run-of-River

Description

Project

Optimization (RoRPO) model described in the manuscript. The RoRPO model is coded in MatLab and is designed to be used on high-performance computing (HPC) facilities. The code that is provided here applies the RoRPO model to the Guder River case study.

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Flow data for Guder River is in the file "GuderRiverFlow.mat". The profile of Guder River is in the file "GuderRiverProfile.mat". The RoRPO model selects turbines from a predefined set.

Characteristics of turbines defined for the Guder River case study are given I the file "turbineData.mat". To run the model on an HPC, execute "ror_main.m" with "ror_0.mat" as an input file. The model should automatically run in parallel and generate new instances on the HPC.

Results are written to the file "ror_out.mat". After running the code, you can use this command to open the output file "dlmread('ror_out.mat')".

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Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/h4j4cd8b66.19 d agoJSON v1
FieldAssertionExtractorEvidence
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