From 43cc70064c18876b27bb1049e6fdade79db66c7a Mon Sep 17 00:00:00 2001 From: Victor Dachet <victordachet@gmail.com> Date: Tue, 23 Jul 2024 14:14:18 +0200 Subject: [PATCH] Update Readme --- examples/Waste Heat Recovery/README.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/examples/Waste Heat Recovery/README.md b/examples/Waste Heat Recovery/README.md index 3a9979c..bc41d96 100644 --- a/examples/Waste Heat Recovery/README.md +++ b/examples/Waste Heat Recovery/README.md @@ -1,15 +1,15 @@ -This subproject is an attempt to reproduce M. Berger's results and extract key statistics from the model. +This repository can be used to reproduce the results obtained in -##How to use analysis.py file: +Dauchat, L.* , Dachet, V.* , Fonteneau, R., & Ernst, D. (2024). Waste Heat Recovery in Remote Renewable Energy Hubs [Paper presentation]. Proceedings of ECOS 2024 - The 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, Rhodes, Greece. -- make_system_report builds a pdf report for the modelized system -- make_statistics_report builds a dataframe containing min,max,mean,25%,50%,75% of each node's variable and export it as a tex and csv file +The orbi repositorty of the paper: +https://orbi.uliege.be/handle/2268/313825 -Original Readme by M. Berger and al. : +## How to use analysis.py file: -This linear programming model can be used to analyse the economics of producing carbon-neutral synthetic methane from solar and wind energy in North Africa and delivering it to Northwestern European markets. The model sizes and operations different technologies converting, storing and transporting energy carriers so as to minimise total system cost and satisfy a pre-specified methane demand level. The full supply chain is modelled in an integrated fashion, the model is both spatially and temporally-resolved and essential operating constraints are taken into account, which makes it possible to accurately capture the interaction between various technologies in space and time. A time horizon of five years with hourly resolution is considered. +- make_system_report builds a pdf report for the modelized system +- make_statistics_report builds a dataframe containing min,max,mean,25%,50%,75% of each node's variable and export it as a tex and csv file -The following nodes are included in the model: solar photovoltaic power plants, wind power plants, battery storage system (Li-ion), HVDC interconnector, electrolysis plants, hydrogen storage system (compressed), methanation plants, direct air capture plants, carbon dioxide storage system (liquefied), desalination plants, water storage system, methane liquefaction plants, liquefied methane storage system, liquefied methane carrier vessels, liquefied methane re-gasification plants. Details of the model can be found in the following paper: -- GitLab