Mojtaba Nedaei

Wind resource assessment in Hormozgan province in Iran

In this study, statistical analysing is performed of wind data measured over a 10 min period based on the Weibull distribution function during one year at three heights carried out to determine the potential of wind in two locations in the Hormozgan province. According to the results, wind speed at 40 m height in Kish city ranged from 4.47 m/s in October to 6.69 m/s in March with average value of 5.32 m/s. However, for Jask city wind speed ranged from 3.4 m/s in January to 5.16 m/s in June with average value of 4.22 m/s. According to world classification of wind power, the wind power density is in class 2 for Kish site while for Jask site it is in class 1. Energy production of different wind turbines at different heights is determined. At the end, an economic evaluation was carried out to determine whether studied sites are suitable for development of small-scale wind turbines.

Optimum design of an off-grid hybrid renewable energy system for an office building

Although much attention has been paid to the utilization of hybrid renewable energy systems for either commercial buildings or residential ones, rare studies dealt with the application of off-grid hybrid renewable energy systems for commercial buildings. This paper presents a comprehensive study on the techno-economic performance of a stand-alone hybrid photovoltaic (PV)-wind-battery system for an office building located in Tehran, Iran. The Hybrid Optimization Model for Electric Renewables model was used to investigate the optimal design options and the techno-economic viability of the hybrid renewable energy system installed in that building. The proposed hybrid system based on renewable resources was designed to electrify the restrooms of the building. An optimal system configuration was chosen based on the total net present cost (NPC) and cost of energy (COE). The simulation results demonstrated that the optimum structure for the hybrid system for the primary load demand of 5.6 kW h per day, consists ...

The Potential of Wind for Energy Production and Water Pumping in Iran, Saravan County

ABSTRACTSustainable sources of energy are vital for energy production in remote areas which have difficult access to electricity and grid. Thus, in this paper an initial evaluation of wind resource for over 18 months was done to evaluate the potential of wind energy as a power generation source in a remote village in Saravan county, southeastern Iran. The Weibull distribution is employed to model the wind data at three heights: 10, 30 and 40 meters. The Weibull distribution presented in this study indicates a good compatibility with the measured wind data. Different wind speed parameters such as monthly and diurnal wind speed profiles at different heights, wind direction, turbulence intensity, and etc. have been estimated and analyzed. The results showed the studied site has not the sufficient wind speed and power for development of commercial wind power plants. But the studied site may be suitable for development of small and residential wind turbines. Therefore in the next part of study, energy producti...

Comparative analysis of three numerical methods for estimating the onshore wind power in a coastal area

ABSTRACT Although there are many studies concerning the estimation of wind potential in different locations of Iran, an adequate evaluation of wind power for onshore locations of this country has not been investigated yet. The purpose of this research is to evaluate the potential of onshore wind in the south of Iran along the Gulf of Oman by comparing three Weibull numerical methods. In the first step, it became clear that the maximum likelihood method (MLM) compared to other methods represented the actual wind data with the lowest error rate and therefore it was selected as an accurate statistical distribution to model the wind speed of the investigated location. Using the MLM, the estimation of wind speed characteristics as well as the techno-economic evaluation of different wind turbines has been investigated. It was concluded that both technically and economically the studied area does not have sufficient wind power for the development of large-scale or grid-connected wind turbines. However, it may have enough power for non-grid-connected mechanical applications, such as wind generators for water pumping. Therefore, in the last part of this paper, an investigation of water pumping potential of the studied site by using adequate and modern wind turbines with lower start-up wind speed was recommended for future studies. Furthermore, it was suggested that the current methodology used in this research could be employed and extended in future studies to evaluate the wind potential of all onshore locations of Iran including onshore locations along the Persian Gulf and Caspian Sea.

Application of a novel multi-objective optimisation method integrated with the artificial neural networks for optimum design of a plate heat exchanger

Abstract In the current study, a plate heat exchanger model is optimised using a multi-objective evolutionary algorithm/decomposition. Considering the importance of the thermal efficiency and the cost of manufacturing the heat exchangers, these two parameters are used as objective functions during the optimisation process. For the purpose of analysis, the ε-NTU method was applied to analyse the probability values for the pressure drop and efficiency of the heat exchanger. The experimental data for the analysis were extracted from a gas furnace in a ceramics factory located in the Kerman province. The results of the analysis reported 19.962% enhancement in the efficiency rate as well as 9.533% reduction in cost through the proposed model, which indicated a significant improvement. In another section of this study, by performing a Pareto front analysis, the distribution of the optimum points for the design variables was outlined. As well as that, the correlation between the objective functions and the design variables by employing the artificial neural networks was discussed. The obtained results were then compared with the two reference cases to achieve a better insight towards the new developed model scheme. At the last stage of study, an error analysis concluded that in most cases, the performance and cost error rates are close to zero with the maximum values being in the range of 0.6–1 and 0–0.13, respectively.