hybrid system

Open Access Article

1 - Determining the appropriate mixture of renewable energy sources in order to reduce uncertainty
Amir Ghaedi

In recent years, the use of renewable energy sources to produce electricity in the power system has grown a lot. Compared to fossil fuels, these resources do not pollute the environment and there is no concern about their depletion. The problem of renewable energy sourc More

In recent years, the use of renewable energy sources to produce electricity in the power system has grown a lot. Compared to fossil fuels, these resources do not pollute the environment and there is no concern about their depletion. The problem of renewable energy sources is that their production power is variable due to the changes of these sources. Accordingly, in order to reduce the uncertainty of the production capacity of renewable energy sources, it is tried to use these sources in a combined manner. In this article, a method is introduced to determine the appropriate combination of renewable energy sources in order to reduce the uncertainty of their production power. In this method, the average, standard deviation, and the histogram related to the production power of the hybrid structure are obtained, and based on this, a structure with less uncertainty is determined. The proposed method has been used to determine the appropriate structure of renewable units in Bushehr region. Manuscript profile

Open Access Article

2 - Electromagnetically induced grating in semiconductor quantum dot and metal nanoparticle hybrid system by considering nonlocality effects
Tayebeh Naseri

10.1007/s40094-020-00373-6

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Open Access Article

3 - The use of a hybrid fuzzy-AHP system on the evaluation and mapping of soil fertility
Fereydoon Sarmadian Ali Keshavarzi

Determination of soil fertility is very important to measure fertilization. Regardless of the level of soil fertility, the improper use of chemical fertilizers, not only the quantity and quality of agricultural products would not rise up, but also it makes imposed addit More

Determination of soil fertility is very important to measure fertilization. Regardless of the level of soil fertility, the improper use of chemical fertilizers, not only the quantity and quality of agricultural products would not rise up, but also it makes imposed additional costs, disturb the balance of nutrients in the soil and environmental issues are also raised. Therefore, the assessment and mapping of soil fertility is essential. In this research, the fuzzy technique and the Analytic Hierarchy Process (AHP) were used for mapping soil fertility into Geographic Information System (GIS). The amount of available soil phosphorus and potassium, total nitrogen, soil organic carbon, pH and cation exchange capacity (CEC) obtained form 77 surface soil samples were used as the input data. In the first stage, the interpolation of data was done by Inverse Distance Weighting (IDW) model into GIS. Then a fuzzy membership function was defined for each factor according to Sys guideline. Finally, the map of soil fertility was prepared by using AHP technique into Expert Choice software with an inconsistency ratio of 0.07. The results showed that soil organic carbon has the greatest impact on the soil fertility in the study area and for wheat cultivation, most area were classified into group of moderate suitable. Manuscript profile

Open Access Article

4 - A novel environmental approach in water and industrial wastewater treatment using a combined biological, adsorption exchange filtration hybrid system (Case study: Neyshabur Power Plant)
Babak Mehravaran Hossein Ansari

10.22034/jest.2017.10704

Abstract Background and Objective: The hybrid biological, adsorption-ion exchange system is a newly developed process for water and wastewater treatment operations, in which the adsorption process in active carbon and silica sand beds and the ion-exchange process in re More

Abstract Background and Objective: The hybrid biological, adsorption-ion exchange system is a newly developed process for water and wastewater treatment operations, in which the adsorption process in active carbon and silica sand beds and the ion-exchange process in resin beds (index resins) are used in combination in order to reduce contamination to acceptable levels suitable for reuse. In this study, performance of the mentioned system in wastewater treatment in Neyshabour Power Plant has been investigated. Method: In this study, the effect of various flow fluxes on TS and COD removal via silica filter at various ratios of silica sand (coarse and fine grades), as well as comparison of sodium and calcium ions removal via ordinary and index resins at different fluxes for sanitary and clean drain wastewater treatment in Neyshabour Power Plant have been studied. Findings: There was a decline in sodium ion level from 1250 mg/lit to 1.9 mg/lit and in COD level from 411 mg/lit to zero. Also, conductivity was reduced from 2180µS/cm to 560µS/cm. The system demonstrated the capability for the removal of sodium ion up to 99.6%.                                                    Conclusion: The biological, adsorption-ion exchange technology has a high potential for processing a large volume of wastewater as well as generating a high economic value. This hybrid system can be used to return the clean drain wastewater (wastewater from drain boilers and blow down boilers) with high purity to water cycle in power plants. Manuscript profile

Open Access Article

5 - Toward a High-Accuracy Hybrid System for Cardiac Patient Data Analysis using C-Means Fuzzy Clustering in Neural Network Structure
Mahmood Karim Qaseem Razieh Asgarnezhad

10.30486/mjtd.2023.1977501.1014

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Open Access Article

6 - Optimization of Stand-alone Hybrid PV/Wind/Fuel-Cell System ‎Considering Reliability Indices Using Cuckoo Optimization and Firefly ‎Algorithm
Mehdi Rezaei محمود قنبری

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Open Access Article

7 - Optimal Design of a Hybrid Solar–Wind–Battery System using the Grasshopper Optimization Algorithm for Minimization of the Loss of Power Supply Probability
Ronak Jahanshahi Bavandpour Hamid Ghadiri Hamed Khodadadi

Renewable energy has been developed in recent years due to the limited sources of fossil fuels, their possibility of depletion, and the related environmental issues. The main challenges of these type of systems is reaching to the optimum size in order to have an afforda More

Renewable energy has been developed in recent years due to the limited sources of fossil fuels, their possibility of depletion, and the related environmental issues. The main challenges of these type of systems is reaching to the optimum size in order to have an affordable system based on storing the solar and wind energy. In this paper, optimization of a solar-wind hybrid system is presented with a saving battery system for supplying a specific hourly load annually to minimize annual system expenses and the probability of Loss of Power Supply Probability (LPSP). Annual expenses of the system include initial investment, maintenance, and replacement costs. The purpose of optimization is to determine the numbers of solar panels, wind turbines, batteries, the height of the wind tower, and the angle of the solar panel toward solar radiation. For this issue, a new method named Grasshopper Optimization Algorithm (GOA) is employed. Also, the effects of changes in inverter efficiency, load demand, and of maximum probability of LPSP on system designing are evaluated. Simulation results show that the efficiency reduction, load increase, and increasing the load and maximum reliability in the system in the form of reducing of LPSP lead to an increase in annual energy costs of systems. Furthermore, the results indicate the superiority of the GOA method toward particle swarm optimization (PSO) in reaching better target function and less cost. Manuscript profile

Open Access Article

8 - Robust Planning of the Islanded Hybrid System Including Renewable and Non-Renewable Sources and Stationary and Mobile Storages
Farshad Khalafian

In this paper, the robust planning of the islanded hybrid system (IHS) to create an integrated system with wind turbine, photovoltaic, diesel generator, stationary (battery) and mobile (electric vehicles) storages is presented. The proposed scheme minimizes the planning More

In this paper, the robust planning of the islanded hybrid system (IHS) to create an integrated system with wind turbine, photovoltaic, diesel generator, stationary (battery) and mobile (electric vehicles) storages is presented. The proposed scheme minimizes the planning cost (including construction, maintenance, and operation) of the mentioned sources and storages, and environmental pollution level. This problem is constrained to operation and planning model of the different sources and storages, and power balance constraint in IHS. The proposed scheme is formulated in the Pareto optimization framework based on method of the summation of weighted functions. Also, the bounded uncertainty-based robust optimization (BURO) is used to model the uncertainties of load, renewable power, and energy of mobile storage. Then, the hybrid evolutionary algorithm according to composition of Krill Herd Optimization (KHO) and Grey Wolf Optimization (GWO) algorithms obtains an optimal solution including low standard deviation in the final response. Finally, it is seen that the proposed scheme has a suitable capability in the planning of the proposed system according to economic and environmental viewpoints based on obtained numerical results. Manuscript profile

Open Access Article

9 - Economic Design of Renewable Hybrid System Based on Hydrogen and Thermal Storages Considering Electrical and Thermal Energy Management
Reza Sepahvand Akbar Asgharzadeh bonab

This paper presents the optimal planning of renewable hybrid systems including wind turbines and bio-waste energy units according to hydrogen and thermal storages considering feeding of electrical and thermal energies. Bio-waste unit is based on the operation of the com More

This paper presents the optimal planning of renewable hybrid systems including wind turbines and bio-waste energy units according to hydrogen and thermal storages considering feeding of electrical and thermal energies. Bio-waste unit is based on the operation of the combined power and heat system, which produces electrical and thermal energy at the same time. Hydrogen storage is hybrid of an electrolyze, hydrogen tank, and fuel cell. The proposed scheme minimizes the total annual investment and maintenance costs. It is subject to the operation model of the mentioned elements. In the operation model of sources and storage, renewable sources supply loads of energy, then storage uses to cover the gap between the load and renewable power profiles. This paper uses the hybrid solver of the Gray wolf optimizer and the sine-cosine algorithm to obtain a reliable optimal solution with a low standard deviation in the final response. Finally, based on numerical results according to Espoo in Finland data, the proposed scheme's capability is confirmed in the Economic extraction of a 100% renewable island hybrid system suitable for simultaneous supply of electrical and thermal energy. Manuscript profile

Open Access Article