The algebraic formulation of the open-source energy modeling system (OSeMOSYS)‎)‎

Joint Authors

Tumashi, Rashid
Ibn Brahim, Suhaylah
Shawish Quwaydirat, Salwa

Source

Revue D'économie et de Statistique Appliquée

Issue

Vol. 19, Issue 2 (31 Jul. 2022), pp.6-20, 15 p.

Publisher

National Higher School of Statistics and Applied Economics

Publication Date

2022-07-31

Country of Publication

Algeria

No. of Pages

15

Main Subjects

Economics & Business Administration
Mathematics

Topics

Abstract EN

This paper discusses the mathematical analogy of the Open-Source Energy Modeling System (OSeMOSYS).

It describes the algebraic formulation of the model by providing a plain description of sets, parameters and variables used in each block.

As statisticians and economists, we are interested in mathematical development more than code implementation, so the added value of this paper is that it treats the detailed algebraic formulation which is developed from its latest full source code., we provide each block with a plain description of sets, parameters and variables used in each block of the OSeMOSYS with the detailed equations by making the passage from conditions used in the source code to simple solutions in order to have simple equations.

American Psychological Association (APA)

Ibn Brahim, Suhaylah& Shawish Quwaydirat, Salwa& Tumashi, Rashid. 2022. The algebraic formulation of the open-source energy modeling system (OSeMOSYS)). Revue D'économie et de Statistique Appliquée،Vol. 19, no. 2, pp.6-20.
https://search.emarefa.net/detail/BIM-1377463

Modern Language Association (MLA)

Ibn Brahim, Suhaylah…[et al.]. The algebraic formulation of the open-source energy modeling system (OSeMOSYS)). Revue D'économie et de Statistique Appliquée Vol. 19, no. 2 (Jul. 2022), pp.6-20.
https://search.emarefa.net/detail/BIM-1377463

American Medical Association (AMA)

Ibn Brahim, Suhaylah& Shawish Quwaydirat, Salwa& Tumashi, Rashid. The algebraic formulation of the open-source energy modeling system (OSeMOSYS)). Revue D'économie et de Statistique Appliquée. 2022. Vol. 19, no. 2, pp.6-20.
https://search.emarefa.net/detail/BIM-1377463

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 20

Record ID

BIM-1377463