4.7 Article

A Computational Approach to Solve a System of Transcendental Equations with Multi-Functions and Multi-Variables

Journal

MATHEMATICS
Volume 9, Issue 9, Pages -

Publisher

MDPI
DOI: 10.3390/math9090920

Keywords

system of transcendental equation; computational solutions; code-based modelling approach; numerical analysis; Sine-Gordon equations; photovoltaics; thermophotovoltaics; solar energy

Categories

Funding

  1. Petroleum Technology Development Fund (PTDF) Nigeria [PTDF/ED/PHD/OC/1078/17]

Ask authors/readers for more resources

The article introduces a code-based modeling approach for solving transcendental equations, illustrating the solution steps and conducting parametric studies through examples. The application of this method in modeling and simulating photovoltaic and thermophotovoltaic systems is emphasized as well.
A system of transcendental equations (SoTE) is a set of simultaneous equations containing at least a transcendental function. Solutions involving transcendental equations are often problematic, particularly in the form of a system of equations. This challenge has limited the number of equations, with inter-related multi-functions and multi-variables, often included in the mathematical modelling of physical systems during problem formulation. Here, we presented detailed steps for using a code-based modelling approach for solving SoTEs that may be encountered in science and engineering problems. A SoTE comprising six functions, including Sine-Gordon wave functions, was used to illustrate the steps. Parametric studies were performed to visualize how a change in the variables affected the superposition of the waves as the independent variable varies from x(1) = 1:0.0005:100 to x(1) = 1:5:100. The application of the proposed approach in modelling and simulation of photovoltaic and thermophotovoltaic systems were also highlighted. Overall, solutions to SoTEs present new opportunities for including more functions and variables in numerical models of systems, which will ultimately lead to a more robust representation of physical systems.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available