Showing 5 results for Simulation
Mostafa Karimi, Ghasem Azizi, Aliakbar Shamsipour, Lila Rezaee Mahdi,
Volume 16, Issue 41 (6-2016)
Abstract
In this study is simulation of role of topography in thickness and Inland penetration of sea-breeze in southern coast of the Caspian Sea. The RegCM4 as a regional scale climate model coupled with a lake model and also the reanalysis data of NCEP / NCAR used to determine of the initial conditions of the model. The model was run during the peak of sea breeze on the southern coast of the Caspian Sea (July 2002) in both conditions (with mountains) and (without mountains). the outputs indicated that in without topography condition depth of the sea breeze will increase to the current position the southern slopes of the Alborz Mountains ( latitude ᵒ35 ) but the land breeze in the area is gone. The maximum speed and changes in wind direction observed on the coast southeast and central Alborz respectively. In addition with non-topography conditions, the thickness of sea breeze in different areas significantly has increased with the highest rate on the eastern coast (longitude ᵒ53).
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Volume 17, Issue 47 (12-2017)
Abstract
The purpose of this research is the simulation of the maize function to scenario of climate change to the present and future. So to survey the region climate, daily data, maximum and minimum temperature, precipitation and radiation have been utilized during the period of (1987-2016). In order to simulating of climate in future, firstly the date of IPCM4 model under scenario and 30’s and 50’s with downscaling LARS-WG model. Before the simulation yield of maize, APSIM model was evaluated and validated. To calculate the maize yield the output of LARS model, plant date and were utilized as the cropping input model of APSIM. By variance analysis maize yield was compared in present and future. The results showed that the APSIM model validation can simulate acceptable accuracy and climate parameters change effect on the yield rate of maize. And on the basis of the highest yield in Fasa the lowest in the city Abade in base line. In future under different scenarios of climate change, maze grain yield in Fars province except Abade, other cities are decreasing than base line.
Associated Professor Hooshmand Ataei, Mrs Mahsa Ravarian, Mr Seyed Alireza Tashakori Hashemi,
Volume 23, Issue 69 (6-2023)
Abstract
So far, several models have been proposed for estimating different climate parameters, but due to the lack of valid and long-term data in some meteorological stations, some models have been difficult to use. The SIMETAV V.1.0 model has been developed in cooperation with the University of California Davis and the Water Resources Authority of California in 2005. The SIMETAW model is a new and innovative tool for the estimation of applied water evapotranspiration (ETAW). SIMETAW simulation model is presented to estimate potential evapotranspiration and also estimate the net amount of water required for irrigation (ETaw). In addition, using this model, you can simulate daily meteorological data from meteorological data. The simulation of daily weather information where there are only monthly averages is a great tool for filling out lost data. In this research, Simetaw simulation model predicts different climate parameters such as solar radiation, minimum and maximum temperature, wind speed, dew point, precipitation and evapotranspiration potential in four different semi-arid climate zones (Mashhad). Dry (Bandar Abbas), moderate and humid (Ramsar) and Mediterranean (Sanandaj) during the years (1967-2017). The results of these studies showed that SIMETAW model has high ability to simulate climate variables and has the highest model accuracy in precipitation simulation (R2 = 0.998) and maximum temperature (R2 = 0.997) for semi-arid climate (Mashhad) , Dew point (R2 = 0.998) for temperate and humid climate (Ramsar), for radiation (R2 = 0.998) and wind speed (R2 = 0.9) for Mediterranean climate (Sanandaj) and minimum temperature (R2 = 0.998) for warm and dry climates (Bandar Abbas).
According to the sensitivity analysis of SIMETAW model, the input parameters of the model are respectively their effect on potential evapotranspiration from maximum temperature, precipitation, dew point temperature and minimum temperature, solar radiation and wind speed.
Mr Meysam Zekavat, Mrs Mansoureh Tahabaz, Mr Mohammad Reza Hafezi,
Volume 23, Issue 70 (9-2023)
Abstract
Buildings are one of the main pillars of economic and social development of countries that consume a large part of energy and natural resources. The purpose of writing this article is to calculate the energy consumption of a building in one year, determine the energy label and then optimize some of its features in order to reduce construction costs and reduce energy consumption of the operation phase. Is. The study area is common residential buildings in Tehran. The research method to achieve this goal is as follows: First, according to the licensing statistics of Tehran Municipality, a 5-storey southern building was selected on a land with an area of 320 square meters and an infrastructure of about 1100 square meters, which represents a large number of buildings in Tehran. Be. Then, by simulating the building considered in Builder Design software, the amount of gas consumption is 145.53 kWh per square meter, electricity consumption is 81.25 kWh per square meter and a total of 226.79 kWh per meter. The square was calculated per year. With this consumption, according to standard 14253, the building receives energy label C. Then, with the aim of reducing the cost of construction and energy consumption during operation, it was optimized with a genetic algorithm. Research variables, type of exterior wall (pottery or Leica), exterior (stone or brick), type of window glass (plain or low emission), type of gas between the layers of window glass (air or argon) and the ratio of the window to the south front surface (15 % -30% -45% -60%) were built. The results indicate that the best possible scenarios for the exterior facade, stone, low-emission double-glazed windows with argon gas, the outer wall of the pottery with a window-to-south front ratio of 22.5% or Leica, with a window ratio At the level of the southern front, it is 37.5%.
Tohid Shiri, Mohammad Didehban, Mohsen Taban,
Volume 24, Issue 72 (3-2024)
Abstract
In the past, architects in many parts of Iran had built traditional public buildings to create a community convenience and comfort. Ab Anbars are good example of this facility structures which they were suppose to collect water in rainy condition and keep it cool for use in dry condition of year espacialy in hot and arid climate. To study amount of radiation and heat absorption 2 Domes of Ab Anbar in Yazd (hot and arid climate) and 2 Domes of Ab Anbar in Qazvin (cold climate) were selected. In order to simulate the domes, they were first modeled in Revit software 2017, and then models were transferred to Rhino 5 software, using the honeybee & lady bug, and with the Energy plus Engine analysis of the received solar radiation and shading were done. In the analyzes, uniformity of the dimensions of the Ab Anbars domes were used, so that the optimum dome can be obtained in terms of receiving solar radiation and absorbing heat in the shadowed area. To equalize the domes, the absorption of the sun's radiation of each dome is divided by the amount of shadowing of the same dome.Radiation absorption in hottest day of the year in hat and arid climate and coldest day of year in cold climate were calculated using Energy Plus software Honeybee & ladybug Plugins. Result shows that amount of radiation is dependent to form of domes. During study day (14,16 and 18 o’clock ) 78, 71 and 64 percent of high rise Domes is facing radiation while 93,81 and 64 percent of low rise domes is facing radiation. From this results it can be concluded that high rise domes have better function in hot and arid climate and low rise domes have better function in cold climate in relation to radiation absorption.
