Babak Barazandeh

A unique mathematical model for maintenance strategies to improve energy flows of the electrical power sector

In this paper, an improved mathematical model that evaluates the economic efficiencies of the integrated energy system, comprising the fuel networks (coal and natural gas) and the electrical power system has been extended. According to this model, the economic efficiency of the electric energy system depends on many factors including electric generation, transmission subsystems and the ability to produce and transport a variety of primary energy sources. In this study, new constraints for maintenance of the electricity and natural gas subsystems have been considered in addition to the constraints of the previous model. Additionally, by using analysis of variance (ANOVA), the effect of climate conditions on different gas or electricity transmission regions (with the assumption of equal break-even point for failure probability) has been analyzed. Finally, conditions under which preventive maintenance should be applied have been discussed. Notice that the extended model is linear and has been solved with the GAMS 23.5.1 software.

A system dynamics model on the reasons of car price shocks after economic sanctions

International Community can decide to establish several types of sanctions on the economy of a country. No matter the reasons of these sanctions, generally, they can have many adverse effects on the economy of the sanctioned country. This depends on the variety and extent of the sanctions. We propose a system dynamics model to capture some of the main reasons behind the economic instability in a sanctioned country. We consider a case study of the car price shocks occurred in Iran after the various economic sanctions that was established on 2012. Irans economy depends heavily on the oil production and in fact, their main exports consist of the crude oil products. In our model, we combine causal loops for prediction of oil price after sanctions with those on predicting the car price. Our simulation results are consistent with the real data of the most common cars price in Iran.

A simulation-based model of technology localization in developing countries

Technology localization is a popular policy in developing countries to reduce the dependency on foreign partners of the industrial manufactures. In this paper, we present a model to analyze the determinant parameters of technology localization process. The model is based on the system dynamics methodology. Our results show that the technology localization becomes stable after a period of time.