Market-Based Analysis of Natural Gas and Electricity Export via System Dynamics

By increasing the extraction of natural gas, its role in the restructured power systems is being expanded, due to its lower pollution. Iran has the second largest reserves of natural gas in the world and exports it to different countries. This paper represents long run analysis of natural gas export from Iran to Turkey as a case study, considering direct transfer and exporting via the power market. In this regard, a system dynamics model is approached for long run analysis of the considered scenarios. The uncertainty of natural gas price is modeled by Markov Chain Monte Carlo (MCMC) for a long run period and four generation technologies including coal-fired, combined cycle gas turbine (CCGT), gas turbine (GT) and wind participate in the power market with a uniform price structure. The published data by energy information administration (EIA) about natural gas charges, costs of electricity generation and export of natural gas and electricity are applied in the simulated models. The results show that exporting the natural gas at real time price is profitable, while its conversion into electricity and exporting at market price is disadvantageous, even by expanding the renewable resources

Keywords:

Natural gas , Electricity export , Power market , System dynamics , Markov Chain Monte Carlo , ,