نشریه انرژی ایران
سال بیست و سوم شماره 1 (پیاپی 86، بهار 1399)

Due to increasing population and decreasing energy sources, this research studies the consumption of domestic energy. The purpose of this study is to predict the factors affecting household energy consumption. To do this, we use 3 algorithms, M5Rules, K-nearest neighbor and random forest, available in Weka software. In this study, the feature correlation algorithm is used to select the most important factors affecting energy consumption and their impact. The results show that lights and fixtures, temperature of the living room, outside temperature, temperature outside of Chievres Station, wind speed, humidity in the kitchen and the temperature in the laundry area have the most impact on household energy consumption. Among the methods, random forest algorithm presented the best results.

With the increasing use of renewable energy systems and the volatility of access to this type of energy, needs energy storage systems to sustain the system. In the meantime, energy storage systems have distinct characteristics and applications, one of which is the compressed air energy storage system. In the present paper, the newest researches and novel systems in the field of energy storage based on compression of air and their properties were compared with the classification and comparison of the system processes. The commonalities of all these systems are the use of compressed air or compressible fluid, to store energy as a mechanical potential. In terms of how the air is stored, these systems can be divided into three categories: isochoric, isobaric, and Liquefaction. For the complexity of the systems studied in this paper, they were classified into two major categories of compressed air energy storage, together with thermal storage and novel and hybrid systems. The development of compressed air energy storage systems with thermal storage seems more difficult because of the high capital cost. But the novel and hybrid systems, although slightly beyond existing technological frontiers by combining and integrating compressed air energy storage technology with other technologies such as city gate station systems, pumped hydro storage, and air liquefaction can play a significant role in the energy storage landscape.

Boilers are one of the major energy consumers in the building. For this reason, increasing the efficiency of this device and improving its performance is an effective step in solving the problems in building energy and reducing waste energy. Due to the limited resources of fossil fuels and the increasing cost of energy in the world, manufacturers of these equipment are always working to improve the performance and use of appropriate control equipment. The purpose of this study is to increase the thermal recovery efficiency of steam energy in gases from shell and corrugated tubes condensing boilers. Numerical simulations are performed using commercial CFD code, ANSYS FLUENT 18.2. In this research, the effect of different arrangement of tubes in a shell and corrugated tubes condensing boiler are analyzed numerically. There are 10 tubes with three different arrangements inside the shell. The results show that the first model has clearly better heat recovery performance than the other two investigated models because of its irregular position of the tubes. The numerical model is validated by experimental results. According to the comparison of the results, the maximum difference is 6.9% and 8.9%. So simulation result shows good agreement and accuracy. Also, 10 pipes with 3 different configurations are used inside the tube. results reveal that nonlinear and irregular configuration is better than two other models.

Wind turbines as a renewable energy are installed and operated as wind farms in various locations with windy climates.  Connecting micro grids to wind turbines can lead to improved power generation and transmission to distribution networks. Therefore, formulating and configuring the micro-grid connected to the wind turbine requires accurate examination of the configuration of the micro-grid with wind power generation system along with variable speed with wind energy determination and error estimation for stability analysis and control by means of error detection. The aim of this study is to use fuzzy logic control systems and then identify the faulty areas for stability analysis with the Extended Kalman Filter (EKF). In fact, I can provide our services to our users by using consulting services and providing linear services, and we can do it using fuzzy logical services. Simulation results represented improved error estimation and stability analysis and other evaluation criteria.

Rapid advances in new sciences and technologies result in high penetration of smart devices and services in daily life. In this regard, smart buildings are one of the prominent examples which have dramatically improved not only the accuracy and efficiency of buildings but also the speed of daily routines. Recently, integration of the cutting-edge technologies has been traversing from residential to the office buildings even security-based organizations. The purpose of this paper is to design an intelligent traffic control system for office buildings associated with managing energy consumption, providing additional facilities such as registering appointments and alerting system to cater a secure environment for traffic control and monitoring. The proposed system consists of multiple units which are installed in several parts of the building such as entrance, staff room, and management room. These units are connected to the central processing unit at any given moment. In the following, the tasks of each unit are discussed in details and examples of overall system performance are described. Finally, the experimental results obtained from the prototype test in a 7-room building are assessed. This article is aimed at the major goals of the Iranian Journal of Energy and disseminates scientific ideas and creativity and enhances the level of theoretical and applied knowledge in the field of energy.

Addressing the issue of energy in contemporary Iranian architecture is very important at all stages of planning, design, construction and operation, and the effort to coordinate and interact with the environment is always one of the foundations of sustainable construction. On the other hand, much of the citychr('39')s surface is composed of worn-out areas with high levels of energy consumption. Heat dissipation from the transparent surfaces of dilapidated buildings is one of the factors, contributing to the increasing energy consumption. Attention to the exterior shell of the building, beyond the visual and aesthetic function, can be very effective in providing comfort and energy consumption for occupant. Therefore, the present study is conducted to optimize the transparent outer shell surfaces with respect to energy consumption in the urban block of Hammettabad worn-out texture. In this paper, the existing status of the block from the worn-out texture of Isfahan city was modeled, then the approved design of the area was modeled by applying the criteria of the National Building Regulations (Section 19). In the following two proposals, one is regarding the geometry of the land and the other is done by calculating the mass loading corresponding to the Isfahan climatically principles. Then, in order to optimize the transparent surface of the outer shell in the proposed designs, two simulation and analysis models were modeled. For the first time on the urban block scale, the precise level of the transparent surface of each front of the worn-out textured buildings in Hammettabad was determined. The optimization of the transparent surface area in building outer crust in the second option was 319.7 kWh compared to the current situation, 13.42 kWh / m2 compared to the approved plan at 0.36 kWh / m2 compared to the first proposed energy use alternative ,which prioritize the alternative on other options (status quo, approved plan and first proposed option).