Fateme Gholami; Fazel Moridi Farimani; Hamidreza Shahverdi
Abstract
Despite the decrease in the share of oil in the world's energy basket, the absolute amount of oil consumption is still increasing. Oil is at the center of the economic and political developments and countries with the oil and gas deposits are trying to maximize their benefit from these reserves. In Iran, ...
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Despite the decrease in the share of oil in the world's energy basket, the absolute amount of oil consumption is still increasing. Oil is at the center of the economic and political developments and countries with the oil and gas deposits are trying to maximize their benefit from these reserves. In Iran, there have been many policies and legislations related to optimizing the value and volume of the oil and gas reserve. The term "conservation production" has been mentioned several times in several legislations and guidelines however, it is still ambiguous as to how to implement this framework. This research has sought to use the real data of an oil reservoir (with periods of natural depletion, primary production, secondary and tertiary recovery), different objective functions (reservoir net present value and final recovery factor), and the effect of changes in the optimization period to model the concept of conservation production. The results show that the changes in the objective function and the optimization periods would have a significant effect on the production path.
• مطالعات اقتصادی مرتبط با حاملهای انرژی (فسیلی، تجدیدپذیر و برق)
Akram Beigi; Fariba Fatahi
Abstract
Managing energy consumption in smart buildings has become an increasingly important challenge. Efficient energy management can have a positive impact on both micro and macroeconomics. Moreover, it is essential to ensure that the comfort of smart building residents is maintained at an acceptable level. ...
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Managing energy consumption in smart buildings has become an increasingly important challenge. Efficient energy management can have a positive impact on both micro and macroeconomics. Moreover, it is essential to ensure that the comfort of smart building residents is maintained at an acceptable level. Optimization algorithms can be used to achieve user convenience while minimizing energy consumption. In this study, we propose an optimization approach that utilizes an agent-based architecture. This architecture comprises intelligent agents that communicate with each other via message exchange in a network structure consisting of three layers: (1) The switch layer monitors user preferences and comfort levels. (2) The coordination layer includes a coordinating agent that determines the optimal timing for electrical appliances to minimize electricity consumption costs and maximize user comfort. (3) The execution layer contains performer agents. Our focus in this research is on the coordination layer with the aim of reducing energy consumption costs and peak average rates, while increasing user comfort to the highest possible level. However, this optimization problem is highly complex due to the large number of electrical devices and their capabilities. To address this, we propose a hybrid method based on genetic and bat algorithms. We evaluated its performance based on objective functions and compared it with recent research on SmartHome and CU-Bems datasets. Our results demonstrate an improvement in performance
Omid Motamedi sede; Bakhtiar Ostadi; ali hussein zadeh kashan; mohamad reza amin naseri
Abstract
The deregulation in power market is lead to competition among market participant to increase efficiency. In electricity market generation is the best candidate for iterance in competition to improve productivity and efficiency in resource allocation and offer lowest price by highest quality will be yielded. ...
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The deregulation in power market is lead to competition among market participant to increase efficiency. In electricity market generation is the best candidate for iterance in competition to improve productivity and efficiency in resource allocation and offer lowest price by highest quality will be yielded. In the pool-based electricity market, every Genco submits a bidding price in ten step offer to the Independent System Operator (ISO) for every hour of the next day. One of the most important parameters affecting the profitability of Genco’s and their bidding pattern is the cost of energy generation. Therefore, in this paper, taking into account the costs of fuel consumption, depreciation, maintenance, operation and utilization and other costs as factors affecting the production cost. In this article artificial intelligence algorithms applied to calculate the energy generation cost function at different levels of production (base load, partial load, and full load), broken down by fuel type. According to the results, the average cost per kilowatt-hour of energy with gas fuel is 398 Rials and diesel fuel is 500 Rials
Shahram Golestani; Majid Hatefi Majomard Majid Hatefi Majomard; Umm al-Banin Jalali
Volume 2, Issue 6 , April 2013, , Pages 151-182
Abstract
The study has calculated the price path, extraction path and discounted profit for GECF and fringe group with use of genetic algorithm on the basis of Price leadership and collusion models. In this regard, members of "Gas Exporting Countries Forum" have been considered as a pricing cartel and other producers ...
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The study has calculated the price path, extraction path and discounted profit for GECF and fringe group with use of genetic algorithm on the basis of Price leadership and collusion models. In this regard, members of "Gas Exporting Countries Forum" have been considered as a pricing cartel and other producers as the fringe group. For this purpose, annual data (1980-2010) is used for forecasting of studied trends up to year 2070.the result from price leadership model show that world gas demand Increases linearly over the time and it Increases exponentially. On this basis the supply of fringe group also grows increasingly, and the cartels supply (that is the margin between world demand and fringe supply) grows decreasingly. The results from collusion solution indicates that extraction trend is slower in compared with the price leadership solution and the price and profit in collusion solution is more than price leadership solution.
