فصلنامه پژوهش های سیاستگذاری و برنامه ریزی انرژی
سال سوم شماره 1 (بهار 1396)

Using thermal comfort information planners and designers can contribute to energy conservation. This paper tries to analyze climate condition, thermal comfort and energy strategies for Iranian selected cities including Tehran, Tabriz, Isfahan, Shiraz, Yazd and Bandar Abbas. The research methodology is based on the analysis of typical meteorological year data in accordance with ASHRAE 55-2004 standard for residential functions. The results showed that windows shading and internal heat gains are most appropriate passive strategy for Bandar Abbas. In Isfahan and Shiraz, internal heat gains and evaporative cooling are most applicable strategies respectively. In Tehran and Yazd, evaporative cooling and internal heat gain are the most appropriate passive strategies. In Tabriz, internal heat gain has the first place among passive strategies

In this study, the welfare effects of natural gas subsidy removal has been explored calculating compensating variation (CV) for Iranian households during 2010-2015. For this purpose, price and income elasticities were estimated using auto-regressive distributed lag (ARDL) method for 1989–2013 period. Acooring to the Results, the payment of 11% of the subsidy as a direct cash compensative to each person can compensate the natural gas price increase

This research is a tecno-economic analyses of heat recovery PWR nuclear power plant used for MED desalination plant. Using DE-TOP software simulation model, we conclude that inlet live steam of heater should be fed into MED plant and then the dead steam of desalination plant should be reinjected into 2nd heater of the power plant heat exchangers networks. This integration of a 1,007MWe nuclear power plant with a 70,000 m3/day MED plant increases the overall thermal efficiency by 3% and decreases net power production by 16 MWe . With a total investment cost of $165 million in desalination plant, 15 years life cycle IRR of 30%, the levelized cost of fresh water is estiated to be 30,375 Rials/m3

In this paper, the effects of energy price volatilities on capital and labor demand are surveyed in industrial sector for the period of 1996-2014. Demand functions are estimated using a VAR model. Impulse response functions and variance decomposition have been analyzed. According to the results, positive and negative energy price have assymetric effects on industrial capital and labor demand. Moreover, labor demand is much sensitive to energy price shooks than capital demand

The livestock sector is known as one of the key sectors affecting the environment. while, it can potentially produce energy from environmentally friendly resources. The purpose of this study is to investigate the role of biogas systems in greenhouse gas (GHG) emissions reduction in dairy firms. This study develops five scenarios, including %1, 5%, 10%, 50% and 100% shares for biogas systems to meet the energy needs of diary sector. The result showed that GHG emissions would decrease by 1.86%, 4.92%, 9.91%, 49.90% and 99.57%, respectively under different scenarios

This paper tries to determine the optimal share of National Development Fund (NDF) in oil export income. To this aim, it develops and calibrates a dynamic general equilibrium model in the Keynes-Ramsey tradition under uncertainty condition. Optimal path of oil revenues allocation is derived for the period of 1394-1458 under different Total Factor Productivity (TFP) assumptions. The results show that golden rule saving rate in the NDF and government share in oil income are 15 and 52 percent, respectively and maximum reserves of NDF reaches to 4. 83 times of its initial level

The increase in greenhouse gas emissions, the necessity of appropriate adaptation policies and the necessity of achieving higher economic growth in developing countries provokes the renewable energy growth. In fact, the renewable energy is an effective approach towards sustainable development. This paper tries to evaluate the effect of increasing the consumption of renewable energy (RES) , on the gross domestic product (GDP) and carbon dioxide (CO2) emissions. Using time series data of Iran (1980-2012) and structural regression model (SVAR) , dynamic interation of renewable energy, economic growth and CO2 emissions is analyzed. The results show that a positive shock in renewable energy, will lead to further economic growth and CO2 emissions, on the other hand a positive shock to economic growth will increase greenhouse gas emissions. Variance decomposition showed that renewable energy slightly explains the forecast error variance in GDP and CO2 . It is recommended to increase the share of renewable energy in total electrical energy produced