Hussein M. K. Al-Masri

Feasibility investigation of a hybrid on-grid wind photovoltaic retrofitting system

This paper investigates the feasibility of wind-photovoltaic (PV) penetration into an existing utility grid system for the city of Ibrahimyya in Jordan. Ibrahimyya is selected because it enjoys both high annual wind speed of 7.27 m/s and high annual solar radiation of 6.05 kWh/m2/day. Two sizing methods are presented using MATLAB and hybrid optimization multiple energy resources software. Thousands of iterations have been carried out in order to get the global autonomous sizing solution that is used for economic analysis. Results show that three CS6X-310 PV panels and eight GE1.5sle-77 wind turbines are the optimal choice. A step-by-step analysis of the proposed system is presented. The net present cost (NPC) is 65069349

Investigation of MPPT for PV applications by mathematical model

. The cost of energy (COE) is 0.0817

Feasibility study of a grid connected hybrid wind/PV system

/kWh. A sensitivity analysis on interest rate, inflation rate, wind power law exponent, annual average daily energy demand, and fuel price is implemented to assess the robustness of the system. The results prove the feasibility to apply the proposed hybrid wind-PV system for this city. The same procedure can be applied anywhere.

Impact of wind turbine modeling on a renewable energy system

This paper will discuss the PV system as whole by emulating load and PV power supply in the lab conditions. The paper discussion would be based on the obtained results for Monocrystalline silicon PV cell module. The important point of interest would be the voltage open circuit, short circuit current, maximum power. The lab has been done in the Standard Testing Conditions (STC) to ensure a fair comparison under different conditions. This paper confirmed that as temperature increased the voltage open circuit decreases as well as power decreases, and when insolation increases the short circuit current increases makes the maximum power increases. Per unit value investigating whether temperature or insolation has a bigger impact on Pmax, and for these experimental conditions, it has been found that insolation affects the system. As well as the paper will focus on building a SIMULINK/Matlab Module to simulate PV cells under different environmental conditions and help in designing future PV systems. The work will be compared with lab-emulated data to be validated and address the accuracy of the obtained results with the real life results. The paper will study the integration of DC-DC Boost converter with open loop control feedback circuit (Fixed Duty Ratio). In addition, the paper will discuss three different approaches of Maximum Power Point Tracking (MPPT) which are P&O, RCC and INC. The performance of each one will be investigated and verified.

Impact of wind turbine modeling on a hybrid renewable energy system

This paper investigates the feasibility of a grid connected, large-scale hybrid wind/PV system. From data available an area called Ras Elnaqab in Jordan is chosen because it enjoys both high average wind speed of 6.13 m/s and high average solar radiation of 5.9KWhr/m2/day. MATLAB and HOMER softwares are used for sizing and economical analysis respectively. Results show that 76124 SUNTECH PV panels and 38 GW87-1.5MW wind turbines are the optimal choice. The net present cost (NPC) is 130,115,936

Accurate wind turbine annual energy computation by advanced modeling

, the cost of energy (COE) is 0.049

Application of gyrator concept to control and operation of boost converter

/KWhr with a renewable fraction of 74.1%. A step-by-step process to determine the optimal sizing of Hybrid Wind/PV system is presented and it can be applied anywhere.

On the PV module characteristics

This paper investigates the influence of the wind turbine (WT) modeling on an on-grid wind energy system installed in Ibrahimyya, a city in Jordan. A closer look is taken at parameters affecting the output power for correctly modeling the system. This helps in monitoring the turbine performance, sizing of the wind farm and the entire system, which significantly affect the energy extracted per year (EEPY) from the wind turbines (WTs) and the entire system. The net present cost (NPC), grid operating cost (GOC), initial capital cost (ICC) and the cost of energy (COE) are affected. As the WT model changes from the linear to quadratic and on to the cubic model the system has progressively more percentage error in the estimation of the cost as well as EEPY, which cannot be neglected. In fact, the EEPY difference has to be supplied by the conventional generation of the utility grid, which is more expensive than wind energy. However, this is the result of imprecise sizing solutions, which result in error estimates for the project investment. So, an improved cubic model (ICM) is suggested to model the WT precisely by considering more parameters such as the air density. The WT model designed at sea level, shows error estimates in cost and EEPY compared with the ICM. This paper investigates the effects of elevation above sea level (a.s.l) and temperature to model the WT in addition to wind speed and WT power coefficient. Therefore, the simplified WT models will not deliver the EEPY that is theoretically possible. The more costly utility conventional fuel plants will have to replace this energy deficit. In other words, to solve a real-world problem, the real values for parameters affecting the WT model must be considered. This same procedure can be applied in any location worldwide.

New configuration constraints to reduce unbalance in hexagonal double-circuit transmission lines

This paper investigates the impact of the wind turbine (WT) modeling on a hybrid wind-photovoltaic (PV) system installed in a city in Jordan. A closer look is taken at the parameters affecting the output power to accurately model the system. This helps in monitoring the turbine performance, sizing of the wind farm and the entire hybrid system, which will definitely affect the annual energy extracted (AEE) from a single WT as well as the entire wind turbines (WTs). Also, the cost of the hybrid system such as the net present cost (NPC), the grid operating cost (GOC) and the cost of energy (COE) will be affected. Six WT models are added to Hybrid Optimization Multiple Energy Resources software in order to see the sizing and cost effects of the new system. A step-by-step analysis and design of each proposed WT model and its effects on the hybrid system are presented. Results show that as the WT simplified models change from the cubic, quadratic, toward the linear one, the resulting system has a significant percentage error in the estimation of the cost as well as AEE. Also, the number of WTs increases at the system level till it becomes a wind only configuration in the linear model. But, this is at the penalty of the imprecise sizing solution, which leads to wrong estimates for the project investment. Therefore, the WT has to be modeled accurately by considering many parameters such as the air density, e.g., geographic elevation. The results show that the WT model designed at sea level shows error estimates in both AEE and the system cost from the one designed at actual temperature or elevation above sea level (a.s.l). The simple WT models will not deliver the AEE theoretically calculated. This energy deficit will be substituted by the more expensive on-grid conventional power plant fuel energy. In other words, in order to solve a real problem, the real values for parameters affecting the WT model have to be considered. The same procedure can be applied in other locations around the world.

Sizing of an energy storage connected to a wind farm in an energy market

Renewable energy is the ultimate goal for mitigating global greenhouse gas emissions and for national energy sufficiency. Optimal renewable power plant design is best accomplished by taking into account the annualized statistical wind power availability. In this paper, the annual energy has been accurately computed for a wind turbine (WT) by an advanced modeling, taking into account the characteristics of the WT and the environment. Accounting for the parameters affecting the output energy, is implemented in order to correctly model the system. This helps in monitoring the power generation and sizing of the wind farm. Mainly, two scenarios are discussed. First, accuracy of WT modeling when the wind speed only affects the output power. Second, accuracy of air density modeling, among the many parameters affecting the WT output power, such as wind speed, power coefficient, elevation above sea level, temperature, pressure, and humidity. It is shown that accurate modeling has a considerable impact on the computed annual energy extracted from a single WT, and thus, the whole wind farm. This will have a major impact on the sizing of the wind farm, and hence, affects the net present cost of the entire system.