نشریه انرژی ایران
سال بیستم شماره 3 (پیاپی 76، پاییز 1396)

One of the most important energy-saving of building is suitable choice of insulation with regard to the climatic conditions of each region. In this study, the effects of building insulations approved by the Research Center of Way, Housing and Urban Development with regard to the cost of insulation on energy consumption in the region of Yazd, Tehran and Tabriz was evaluated by software Energy Plus. The results showed that the best insulation for the cities of Yazd, Tehran and Tabriz were expanded polystyrene insulation that stead in the walls and Note that almost all materials for the city of Tabriz except two types of polyurethane and glasswool insulation used in roofs are good performance in terms of energy savings and the costs. The results can be accepted benchmark for investors and custodians housing sector also this study can be used as a vision of research in the construction of buildings with lower energy consumption to be.

The purpose of this paper is design a model for the capacity development of bioethanol refineries in Iran. Due to the variable weather condition, there is the uncertainty in the amount of raw materials, thus we suggest a deterministic programming model Based on probabilities for capacity development. The deterministic linear programming model is represented a signal period planning framework to minimize the expected costs. A model which suggest in this paper is for minimized the fuel supply costs (gasoline and bioethanol) for specify the amount and location of capacity development. The results of this model show that reduce the costs of supplier fuel about 6 billion rials.

Nowadays, demand for energy is one of the important and applicable issues in different countries. Energy demand is of great importance from the viewpoints devastating impact on the environment and in terms of economic costs. The household sector is the major consumer of energy study of the factors influencing the energy consumption can have beneficial results in terms of the application of appropriate policies in this field. Therefore, this study estimated the demand function for energy in household sector using data for 28 countries in Iran for the period from 2002 to 2011 which was obtained from the Iran’s energy balance sheet. The results of the study indicated that the demand function for energy in household sector is a reverse function of energy price, family population and cooling requirements; meaning that when energy consumption determinants increase the demand for energy decreases. However, other variables like real income and heating requirements have a positive effect on the energy demand in household sector.

In recent years, Supplying sustainable water resources in waterless areas can be considered as some of the  major problems in Iran. Presently, there are two conventional systems for desalination technique i.e MED and RO to produce drinkable water, eventhought each ones have its advantages and disadvantages. In this research two integrated system including  series and parallel configurations of hybrid MED nad RO has been simulated for production of desalted water and electricity using a gas turbine cycle for Qeshm area, an island in southen part of Iran, near strait of Hormoz. LCOE and LCOW methods ware also applied to evaluate the levelised cost followed by a sensitivity analysis considering the influence different parameters such water production capacity, availability factor, gas price and so on. The results indicated that parallel layout would be the best from Technical-economic aspects of design and also Gas price and water production capacity have the most effective on the LOCE and LCOW.

In this study, we will investigate the possibility of using renewable energy resources in area where electrical energy is not supported. We will consider it as a micro-grid and we will try to supply its electrical energy by decreasing cost and having reliability in system. Generally, the main reason of designing and developing of distribution grid is responsible to growth of electrical consumption with maximum economic efficiency which the restriction of system is not made violation. Existing more elements in the distribution and sub-transmission networks have faced the designing and developing with problem where there are many decision variables. Advert of the distributed generation in distribution systems furthermore the changing operation of these systems provide this possibility to companies that can design systems with low cost. In this study, we aim to minimize the cost of the hybrid system of hydroelectric, wind, solar and battery and we will calculate LPSP index by GSO algorithm. It is designed and implemented for long-term network over 20-year.

This paper presents a new method for the design and operation of photovoltaic power plants connected to the network anywhere in the country. Using an appropriate module and inverter can power while increasing efficiency and ideal use of solar energy potential, prevent power dissipation and system cost in different parts of the Draft .also prevent the loss of power in the shadow of modules on each other or the other computing takes place. The main characteristics of the panel and inverter design that is fit and homogeneity. HelioScope Software due to weather conditions and the geometry of the selection panel, the best way to offer the appropriate inverter type of wiring. SketchUp Software suitable guideline for evaluating the shadows during the year. Acoustic station Mehrabad NASA weather data and virtual stations can be used with high accuracy. Plant Mehrabad weather station data can yield% annual 7/78 and 3/735 MW due to the virtual station NASA 8/79% yield equivalent to 7/724 MW power generation have. The highest temperature and the lowest power dissipation in the wiring and inverter are mismatched.

One of the major problem in the optimal operation of the power system is optimal operation of microgrid with regard to the Demand-side-management. From one side, demand-side-management programs  reduce the operating costs of the power system and on the other hand, the implementation of these programs requires a financial incentive policies. In this paper, optimal operation of microgrid with demand-side-management is formulated as an optimization problem. Load shifting is taken into account as an effective tool for demand-side management. The objective function of this problem is consist of the minimization of total operation cost of the power system and  the load shifting cost. The constraints of the problem include operational constraints and load shifting constraints. In this problem, the time of load shifting is considered as decesion variables. In order to solve the optimization problem, the combination of genetic algorithm and optimal power flow algorithm has been used. The proposed method is applied to a samples microgrid and the results showed that with the help of demand-side-management, the total cost of utilizing a microgrid can be reduced.