فصلنامه پژوهش های سیاستگذاری و برنامه ریزی انرژی
سال یکم شماره 1 (بهار 1392)

In recent decade the importance of developing use of renewable energy and replacing fossil energy with this type of energy is not wearing for any researcher and governments. Hence in this investigation we developed an augmented growth model in theoretical Aspects, in developed model we separated energy in fossil and renewable energy. After solving the developed theoretical model and survey the results of the model, the share of renewable energy in the total energy has been predicted during 2008 - 2041. According to taken place calculations, the optimal share of electricity generated from fossil energy sources for Iranian economy in 1420 should be 51 percent and renewable energy share of total electricity production should be 49 percent. However, according to the data of year 2008 only 2% of electricity generated by renewable energy sources and 98% of electricity is generated by fossil energy. In order to achieve optimum share of renewable energy that measured in this study, the production of renewable energy should be has 3/3 percent annual growth.

As is evident, fiscal policy of energy subventions and the real worth of energy carriers, cause to responsibility of the Mechanisms of markets for setting of – or in other words optimizing of- energy consumption. To this important, it’s essential to address the researches that examines the energy market. One of the controversial issues in the energy market is the barriers we faced in order to increase market efficiency in energy consumption. So the most of this paper`s topics is on examining and scrutinizing one of these obstacles as a Principal-agent problem. Hence, we are looking for the answer of the question, whether it causes energy efficiency gap between traveler cars in the city of Mashhad. To survey this issue, based on the recommended model of the International Energy Agency (IEA) all the cars in Mashhad city were categorized in three groups: governmental, rental and nongovernmental - no rental using a questionnaire their performance has been premeditated in field of plummeting energy consumption. Results demonstrate significant dissimilarities in the activities that lead to abridged fuel consumption between vehicles involved in Principal-agent problem in comparison with others. It seems that the Principal-agent problem is one of the market barriers for increasing the final energy use efficiency or in other words, it is an obstacle for lessening of vehicles fuel consumption in the city of Mashhad. As a final point, this paper offers resolutions to eradicate these obstructions.

This paper discusses the technical and economical aspects of an energy recovery system to generate optimal electrical power from catalytic combustion of low concentration coal bed methane in Tabas coal mine of Iran, applying a mathematical programming model, Hysys simulation software, and Gams optimizer. This model has been applied by using a mixture with 1% methane concentration in a catalytic combustion lean burn gas turbine and coupling a gas engine to the system. The implementation of the model would lead to the generation of 8.088 Mw electricity in forementioned coal mine and cover over than 75% of total demand power of site. Investment Rate of Return (IRR) would be 36%, which shows the high investment attractiveness in this field.

Reforms of pricing the energy transformers are one of the most important debates for FDI experts, in Iran. this pricing is directly in contact with some subjects such as the effect of long run subsidies on price diffusion in economy, sources waist, decreasing the resistance of Energy part in Iran and finally the effect of acceleration in energy consume growth rate .so it appear necessary to doing more study about energy and pricing and also energy transformers. In this study we model the volatility of Electric energy price according to energy transformers, financial markets and also energy demand. fir this purpose we use two methods for modeling first is Markov switching regression and the second is artificial neural network. Both are nonlinear methods. The switching model has ability to model the shocks on response variable and it can make two regimes with different volatility. But neural network has the ability to estimate and forecasting. The period of this study is1367-1387.

Electricity is known as one of the most comprehensive public service. The current electric power industry has over 25 million customers and every year about 800 thousands new customers is added. So targeted subsidies policy including electricity prices affect the lives of many people. Opinion collection is one of the methods that is utilized for the acquiring the people s views for the continuation or improvement of the policies. This paper was prepared with the aim of studying the consumers views about the second stage of targeted subsidies plan in Tehran area for a sampled 600 randomly selected domestic customers for one month(Day 1391). For survey a questionnaire was compiled with 30 items in 6 categories on the Likert scale in grades (0-3) and normal statistical procedures were utilized to analyze the collected data. The results show that about 16 per cent of respondents agree or strongly agree with the subsidies targeted to start in the second phase. Also, 10 percent of respondents to targeted subsidies and cash payments prefer the existing conditions rather than other options.

Decreasing of nonrenewable resources is one of the growing problems in discussing energy. The solar energy is one of the cleanest forms of renewable energy in the world. The Sistan and Balouchestan Province, due to locating in the low latitudes, has Plenty of sunshine hours Over the years.This study aimed to establish zoning and locate vulnerable areas of solar panels based on climatic variables has been done in this province.The first layer sunny Total hours per year, the number of cloudy days, rainy days, dusty days, annual average of relative humidity, altitude and total annual precipitation as the most important climatic factors affecting solar radiation were generated in GIS environment. The results showed that 14.23 percent within the highly desirable area of the province, 28.79% in the optimal range, 27.86% in the moderate range and 29.10% of the total area of the province is poor and very poor in terms of deploying solar panels. Below this layer through weighted overlay model (weighted overlay) combine and layer zones in preparing for the deployment of solar panels is located.The best place to take advantage of solar energy are SibSouran, Saravan and after them, Kash, Iranshahr and parts of Zahak and Nikshahr were detected.

Today, many countrie's goals are to achieve sustainable development. In Iran, the country depend on oil resources and we need to reduce energy consumption in building and industrial sectors. Because of high energy consumption in buildings, buildings are the first option for saving energy. Given the importance of this issue, in this article, the buildings that have common is reviewed in Tehran. In this ways, solutions are presented to reduce energy consumption in buildings. For this purpose, 25 different types of building design and energy applications, was modeled and heating and cooling energy consumption was calculated. The results show that the use of insulation and architectural design, reduced annual energy consumption to 44% in Tehran. Since these methods are appropriate and successfully implemented, this approach can be the best practices in energy efficiency in buildings.