Meeting the Electrical Energy Needs of a Residential Building with a Wind-Photovoltaic Hybrid System

Mohammadnezami, Mohammad Hosein; Ehyaei, M.A.; Rosen, Marc A.; Ahmadi, Mohammad Hossein

doi:10.3390/su7032554

Cited by 41 publications

(18 citation statements)

References 22 publications

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“…The build and tested preliminary design of Arduinobased small wind power generation system can be applied as a source of DC power source in remote locations which was not covered by electrical grid. Moreover, it can charge the battery of telemetry-based weather station power supplies in remote inaccessible power grid [19] but still covered by GPRS network to transmit the data to a web server.…”

Section: Resultsmentioning

confidence: 99%

Design of Arduino-based small wind power generation system

2018

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Wind energy is a less-attended renewable energy due to the lack of information about its potential. Some pilot wind turbines were not managed properly and built without considering to the technical feasibility. This study aims to propose a preliminary design of an Arduino-based small wind power generation system. The electricity which is generated by the wind charges the battery. It supplies power of information system which transmits the data of wind speed and wind direction from the remote location to the web server through GPRS network. The remote location which is completed with mobile data coverage is essential for this study. The results of this study are (1) the battery charging stop automatically when the battery is full (2) the data of wind speed and wind direction can be accessed through web browser or Android Smartphone. The data can be used for further analysis to determine the potential of wind energy at the site.

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Section: Resultsmentioning

confidence: 99%

Design of Arduino-based small wind power generation system

2018

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“…Several studies have tried to prove that wind energy is the fastest‐growing renewable energy field in the world . Although wind energy has been recognized to be sustainable over the 40 past years, several critical questions continue to guide scientific research in this area such as network integration (grid codes, energy quality, and crossover capability) . It is for this reason that Morocco has turned to the production of electricity from renewable sources.…”

Section: Introductionmentioning

confidence: 99%

Sustainable production of wind energy in the main Morocco's sites using permanent magnet synchronous generators

Mourabit¹,

Derouich²,

Allouhi³

et al. 2020

Int Trans Electr Energ Syst

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Summary This paper assesses the behavior of a wind energy conversion system (WECS) under the fuzzy control in several sites located in Morocco. The sites involved in this study are located in coastal areas, namely, Assila, Houceima, Tetouan, Dakhla, Essaouira, and Laayoun. Furthermore, the first part deals with an inventory and state of art of the wind potential, achievements, work in progress, and future projects in the Kingdom of Morocco. Subsequently, a statistical analysis of the wind data and concerning the wind speed and direction in relevant geographical areas was presented in detail. The second part of the paper examines the control of WECS which is based on the direct control of the permanent magnet synchronous generator. Generator connection to the power grid is achieved by two power converters in back‐to‐back configuration controlled by pulse width modulation. The whole system modeling including the generator modeling was discussed. The control development based on (Fuzzy‐proportional‐integral) corrector for the machine‐side converter and the maximization of the power extracted from the wind using the maximum power point tracking technique have been developed. The grid‐side converter ensures the system connection to the grid with good power quality and controls the DC bus voltage. The control strategy is verified through the simulation in the Matlab‐Simulink environment to validate and evaluate the dynamic performance of the system using real wind measurements for the selected sites. The obtained results prove the effectiveness of the intended control. Interestingly, the southern zone of Morocco is more convenient for the exploitation of electricity production compared to the northern zone of the country which it can be beneficial for autonomous applications.

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“…With attention to high cost of energy and decreasing fossil fuel sources, attentions are attracted to optimal usage of energy and controlling it's consumption through higher efficiency systems or new technologies. Studies in this regard, have been started long time ego in industrial countries and first steps are taken in developing countries [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. Considering changes of structure of power generation, privatisation and also importance of environmental issues, technology of power generation is led to local generations.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Micro Gas Turbine by Economic, Exergy and Environment Analysis Using Genetic, Bee Colony and Searching Algorithms

Ehyaei

2020

Journal of Thermal Engineering

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In this paper it was dealt with optimization of micro gas turbine with natural gas fuel in four configurations of simple, with regenerator, combined heat and power (CHP) and CHP with regenerator. Target function included energy and exergy efficiencies and electricity cost by considering effects of environmental pollution. Optimization procedures were genetic, bee colony and searching algorithms. Results showed that optimum air fuel ratio calculated by searching method for micro gas turbine with above-mentioned cycles were 1.

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Meeting the Electrical Energy Needs of a Residential Building with a Wind-Photovoltaic Hybrid System

Cited by 41 publications

References 22 publications

Design of Arduino-based small wind power generation system

Design of Arduino-based small wind power generation system

Sustainable production of wind energy in the main Morocco's sites using permanent magnet synchronous generators

Optimization of Micro Gas Turbine by Economic, Exergy and Environment Analysis Using Genetic, Bee Colony and Searching Algorithms

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