فصلنامه پژوهش های سیاستگذاری و برنامه ریزی انرژی
سال ششم شماره 1 (بهار 1399)

Unbalanced use of fossil fuels has made the environmental crisis as major challenge for governments. In the same methods, international and domestic institutions have designed and implemented various policies and plans to reduce greenhouse gas emissions, which are the cause of environmental pollution. One of the successful policies to reduce emissions is carbon tax policy. Considering the environmental pollution situation in Iran as well as the successful experience of carbon tax policy in other countries, this study simulates carbon tax policy in the Iran economy, Accordingly, evaluate and calculate the probable effects of carbon tax on the Iran economy in the form of designing a computable general equilibrium (CGE) model using the latest Iran social accounting matrix (SAM) in 2011 and in different scenarios. The results show that the carbon tax rate in all scenarios, in terms of improving emissions, decreases the gross domestic product (GDP); So that in the last scenario, which is accompanied by the highest carbon tax, in exchange for a reduction of 0.54 percent in GDP, carbon dioxide emissions are reduced by 10.7 percent.

The purpose of this study is to provide a comprehensive framework for analyzing risk factors in oil and gas projects. The proposed approach in this study consists of several parts: In the first part, 19 common potential risks in the projects of the Pars Oil and Gas Company were finalized by using Lavasheh Validation method in six groups; these factors were identified through review of previous research and interviews with experts. Then, by using the best-worst multi-criteria decision-making method, we calculated the weights associated with the performance index of each risk. Subsequently, a new integrated approach based on the Failure mode and effect analysis and the hybrid method of Gray-Vikor relationship analysis under the fuzzy environment have been used to rank and determine critical risks. Finally, a multi-objective, multidimensional programming model has been proposed for assigning strategies to respond to each of the critical risks, which is used to solve the Epsilon-Limit approach. Based on the results, the risk of electric shock, Risk of leakage due to incorrect Bolting, Torque and Gasket and the trapping of clothing and body parts by the repairer between rotating and fixed equipment, respectively, as the most critical Risk factors were selected in Pars Oil & Gas Projects.

Policy makers need to be acquainted with market competition statue. it would ease the decision making and restructuring of market. The aim of this study is to measure the competition of the wholesale electricity market and then investigate the impact of market power on wholesale electricity price during 2013 to 2017. The Result shows that market share of P.U.s in the wholesale electricity market is not notably large and H.H.I.’s fall in the competitive range. Furthermore, generally the fluctuation of H.H.I. has been diminishing during studied period. Although lack of significant market power, the results show it has considerable impact on wholesale price index. We propose that an independent regulatory agency may be responsible for the supervision of this market to achieve more market efficiency.

Various equipment, production constraints, demand, cost-effectiveness and ultimately the human factor are some of the factors that have complicated Dispatching center systems. In general, a review of previous research on dispatching and power grid control centers has shown that technical issues have paid but The management structure of dispatching centers is an issue that has received less attention. the aim of this study is to investigate management issues using soft systems methodology (SSM). SSM can be used both to understand positional content (SSMc) and in relation to the research process itself (SSMp). Since the aim of the present study is to identify and structure the content of the problem, so up to the fourth step of the methodology (SSMc) in order to achieve the most important achievements of these steps. Steps include problem-solving drawing, CATWOE analyzing, root definition and providing a general conceptual model of dispatching center have been used. In this research, first problem-solving was drawn, the subsystems were created and the relationships between them were determined, and then the conceptual model was presented. Finally, the challenges in the system of power grid control have been identified, separated and categorized, and appropriate solutions have been proposed to solve them.

Buy back contracts have been one of the most common upstream contracts in the oil industry. This investment method allows the government to attract foreign capital and technical services and knowledge, while at the same time reducing the cost of foreign trade and increasing export capacity. On the other hand, Learning is one of the most important functions of technological collaboration, to which the success of collaborations will largely depend. This study, is a qualitative study with a case study strategy, attempted to determine the dimensions of learning in buy back contracts  with a case study on the North Azadegan Field Development Contract.  Data were collected through semi-structured interviews and document review. Purposeful sampling was used to interview the experts in this project. Data analysis was done by thematic analysis and a qualitative research model was designed by MAXQDA. According to the findings of this study, the technological learning framework has five main themes including contract features, infrastructure, learner characteristics, external peer characteristics, and the nature of knowledge and technology. The findings also indicate that informal and informal factors have a direct and indirect impact on technological learning, and their attention is very important.

Increasing environmental pollution from fuel vehicle and limited fossil fuel resources have increased tendency to produce electric vehicles. In Iran, the use of electric vehicles requires further study in the field of supply and demand for this product. Regardless of the supply issue, the use of electric vehicles requires a better understanding of the needs, wants and tastes of consumers. In this paper, from an integrated approach, which is the result of combining the method of choice experience with the agent based model, the modeling and simulation of consumer tendencies is discussed. The statistical population in this study is all drivers with a driver's license in the country. By random sampling, the data were collected with a questionnaire consisting of eight selection sets of 412 samples. Conditional Logit model and simulation have been used to analyze the data. The results of the integrated approach show that government incentives affect the willingness to use electric vehicles more than other features. Also, the features of price, speed and charging time are among the next priorities of consumers. Paying attention to the above features can help policymakers and car manufacturers to use new or better features than in the past.

The purpose of this study is to evaluate the relationship between information success factors and business intelligence in industry (Greater Tehran Power Distribution Company) and prioritize it using the network analysis process (ANP) by Super Decision software. Research is applied in terms of purpose and descriptive in terms of research method. The statistical population includes the official employees of the Greater Tehran Electricity Distribution Company - Northwest Executive Deputy; In the spring of 1396, there are 561 people. The research was based on data collected from 228 subjects, based on the Cochran's formula using a relative stratified sampling method. Data were collected using a questionnaire and analyzed through SPSS, Smart PLS and Super Decision software. The results of identifying and prioritizing the factors of information success and intelligence in the Greater Tehran Power Distribution Company; Showed that the priorities of information success factors in business intelligence (Greater Tehran Power Distribution Company); The policies to be implemented include: coordination, organizational devotion, information technology infrastructure, excess information, education, and information technology capacity.