A protocol to determine the least cost supply of coal to China with an installation-level optimization model
Summary: This protocol provides instructions on how to run a linear optimization model that determines the cost-optimal supply of coal, from Chinese and foreign mines, to satisfy a given demand for coal in Chinese power and steel plants. We describe how to download the code and required software and...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Elsevier
2022-12-01
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Series: | STAR Protocols |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2666166722007535 |
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author | Jorrit Gosens Alex B.H. Turnbull |
author_facet | Jorrit Gosens Alex B.H. Turnbull |
author_sort | Jorrit Gosens |
collection | DOAJ |
description | Summary: This protocol provides instructions on how to run a linear optimization model that determines the cost-optimal supply of coal, from Chinese and foreign mines, to satisfy a given demand for coal in Chinese power and steel plants. We describe how to download the code and required software and detail steps to insert third-party data. We further provide instructions to adjust and define the scenario settings, build and solve the optimization problem file, and visualize the model outcomes.For complete details on the use and execution of this protocol, please refer to Gosens et al. (2022).1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. |
first_indexed | 2024-04-11T12:35:53Z |
format | Article |
id | doaj.art-b26798a0134e43f4a589590b4402b3b1 |
institution | Directory Open Access Journal |
issn | 2666-1667 |
language | English |
last_indexed | 2024-04-11T12:35:53Z |
publishDate | 2022-12-01 |
publisher | Elsevier |
record_format | Article |
series | STAR Protocols |
spelling | doaj.art-b26798a0134e43f4a589590b4402b3b12022-12-22T04:23:37ZengElsevierSTAR Protocols2666-16672022-12-0134101873A protocol to determine the least cost supply of coal to China with an installation-level optimization modelJorrit Gosens0Alex B.H. Turnbull1Crawford School of Public Policy, Australian National University, Acton, ACT 2600, Australia; Corresponding authorKeshik Capital, Singapore 048583, SingaporeSummary: This protocol provides instructions on how to run a linear optimization model that determines the cost-optimal supply of coal, from Chinese and foreign mines, to satisfy a given demand for coal in Chinese power and steel plants. We describe how to download the code and required software and detail steps to insert third-party data. We further provide instructions to adjust and define the scenario settings, build and solve the optimization problem file, and visualize the model outcomes.For complete details on the use and execution of this protocol, please refer to Gosens et al. (2022).1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.http://www.sciencedirect.com/science/article/pii/S2666166722007535EnergyComputer sciences |
spellingShingle | Jorrit Gosens Alex B.H. Turnbull A protocol to determine the least cost supply of coal to China with an installation-level optimization model STAR Protocols Energy Computer sciences |
title | A protocol to determine the least cost supply of coal to China with an installation-level optimization model |
title_full | A protocol to determine the least cost supply of coal to China with an installation-level optimization model |
title_fullStr | A protocol to determine the least cost supply of coal to China with an installation-level optimization model |
title_full_unstemmed | A protocol to determine the least cost supply of coal to China with an installation-level optimization model |
title_short | A protocol to determine the least cost supply of coal to China with an installation-level optimization model |
title_sort | protocol to determine the least cost supply of coal to china with an installation level optimization model |
topic | Energy Computer sciences |
url | http://www.sciencedirect.com/science/article/pii/S2666166722007535 |
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