Tunis University

About: Tunis University is a education organization based out in Tunis, Tunisia. It is known for research contribution in the topics: Population & Thin film. The organization has 11745 authors who have published 15400 publications receiving 154900 citations. The organization is also known as: University of Tunis & UT.

Modeling the causal linkages between nuclear energy, renewable energy and economic growth in developed and developing countries

Abstract: This article investigates the causal relationship between two types of energy variables and economic growth using dynamic simultaneous-equation panel data models for 17 developed and developing countries. Our results indicate that there is a unidirectional causality running from nuclear consumption to economic growth in Belgium and Spain, while a unidirectional causality running from economic growth to nuclear consumption is supported in Bulgaria, Canada, Netherlands, and Sweden. A bidirectional relationship appears in Argentina, Brazil, France, Pakistan, and the USA, while no causality exists in Finland, Hungary, India, Japan, Switzerland, and the U.K. Second, the results for the second nexus among renewable energy and economic growth show that there is a unidirectional causality running from renewable consumption to economic growth in Hungary, India, Japan, Netherlands, and Sweden, while there exist a unidirectional running from economic growth to renewable consumption in Argentina, Spain, and Switzerland. A bidirectional relationship is supported in Belgium, Bulgaria, Canada, France, Pakistan, and the USA, while no causality exists in Brazil, Finland, and Switzerland. Third, we find the existence of a bidirectional causality between nuclear consumption and economic; and a unidirectional causality running from economic growth to renewable energy consumption for the global panel.

Identification of unknown parameters of solar cell models: A comprehensive overview of available approaches

Abstract: Solar energy is increasingly attracting the attention of industry and academia. This heightened focus is mainly motivated by the challenge to contribute to fossil fuels' alternative and to limit the pollution of environment caused by their emissions. The number of researches focusing on solar photovoltaics is continually increasing. The behavior of a photovoltaic (PV) cell/module may be deduced via its current–voltage (I–V) characteristic which depends on its circuit model parameters. Whilst, the extraction of appropriate circuit model DC parameters is crucial to carry out precise performance investigations and control studies on solar PV systems, it remains highly constrained nonlinear non-convex optimization problem. The main objective of this paper is to review the existing research works on PV cell model parameter estimation problem and to assess the performance of the newest approaches. Based on the conducted review of more than 100 methods published over the past 7 years, the recommendations provided for future research are an important goal that will improve the methods of research in this area. In addition, this article implements two real models (single-diode and double-diode) and examines their accuracy to draw the current–voltage (I– V) and power–voltage (P–V) characteristics.