Hidrojen, güneş, rüzgar, jeotermal ve biyoyakıt enerjinin karbon dioksit emisyonu üzerindeki etkisi: Bir dinamik stokastik çevresel model yaklaşımı


Muğaloğlu E., Bilgili F.(Yürütücü)

Yükseköğretim Kurumları Destekli Proje, 2017 - 2018

  • Proje Türü: Yükseköğretim Kurumları Destekli Proje
  • Başlama Tarihi: Ağustos 2017
  • Bitiş Tarihi: Ekim 2018

Proje Özeti

This dissertation project formulates an environmental dynamic stochastic general equilibrium (DSGE) model with a relative disutility of atmospheric carbon dioxide (CO2) concentration in the United States’ (US) households’ utility function and a disaggregated energy production sector in US. Thus, households optimize the decision-making processes on the energy demand, which is an input of total production, taking into account the negative effects of environmental degradation caused by energy-related CO2 emissions. This environmental DSGE model examines the effects of renewable energy consumption on US CO2 emissions and global atmospheric CO2 concentration. According to the simulation results using Bayesian parameter estimates, (i) that renewable energy production has sufficient substitute power in the US energy sector; (ii) the effects of positive fossil energy cost shocks are limited; (iii) Fossil-based energy production in the US is almost completely procyclical and (iv) although the share of renewable energy consumption in the US total energy sector is low, its emission reduction power has been found to be permanent and sufficient in the long-run. This work suggests the continuation of the US renewable energy production and investment tax credits and the project subsidies for the renewable energy production innovations and progress increasing the renewable energy cost competitiveness in the US energy sector. On the other hand, it warns policy makers about the duration of renewable transformation in global energy supply since the marginal cost of emission reduction policies must be higher during the upper environmental degradation levels.