Performance Analysis of PEMFC Based Grid-connected Distributed Generation System

2020 ◽  
Author(s):  
Alper Nabi AKPOLAT ◽  
Erkan Dursun

Abstract Background: Less energy consumption and more efficient use of fossil-fueled technologies are among the sustainable energy targets of modern societies. The essential activities to be achieved under these objectives are to increase the distributed generation structures and increase their applicability. The distributed generation (DG) is a small-scale version of the traditional power grid, which is supported by micro turbines, hydrogen fuel cells, wind turbines, photovoltaic (PV) modules, combine heat and power systems, and energy storage units. Methods: The aim of this research is to detail performance analyze and unit sizing of proton-exchange membrane fuel cell (PEMFC)-based grid-connected distributed generation system with the help of empirical calculations. To this end, we tried to establish the system and analyze the performance of reliable operation of the system with experimental verifications.Results and Conclusions: The results demonstrate the situation of annual production about how much rated power can be generated through the real meteorological data to dispatch the power to the constant variable loads. While, 53.56% of the total energy demand is met by the utility grid, 46.44% of the demand is met by the produced energy i.e., from microgrid. The PEMFC based hybrid microgrid at Marmara University, Faculty of Technology was analyzed in detail in this study. According to the results of the performance analysis, the important points that will be highlighted and will help the researchers working in this field are as follows. Our results are encouraging and can be validated by a larger sample size with the fine weather conditions in terms of the percentage of procurement of energy.

Circuit World ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nayana Shetty ◽  
Chakrasali R.L.

Purpose “the purpose of this study/paper” or “this study/paper aims to” in the Purpose section of the Abstract. The integration of distributed generation (DG) to the utility grid is yet another approach to provide reliable and secured power. Design/methodology/approach The significant concern in this contemporary world are the day-to-day increasing power demand, lack of energy and increasing environmental pollution, which are threatening the existence of living things. Findings The research focus here is to adequacy and security in the grid-integrated hybrid distributed generation (DG) having photovoltaic (PV) and proton exchange membrane fuel cell. Originality/value PV system is a clean source of generation and suitable for many applications. Photovoltaic cell captures the energy from solar irradiation. To track the maximum power from PV, perturb and observe method is used. As it is intermittent in nature, integrating PV with fuel cell makes the hybrid source more reliable. Power electronic interfacing devices are used to integrate this hybrid DG source to microgrid. The simulation of this grid-connected hybrid DG is performed using Matlab/Simulink environment.


2013 ◽  
Vol 38 (34) ◽  
pp. 14750-14763 ◽  
Author(s):  
Daniel Lorenzini-Gutierrez ◽  
Abel Hernandez-Guerrero ◽  
Bladimir Ramos-Alvarado ◽  
Isaac Perez-Raya ◽  
Alejandro Alatorre-Ordaz

Author(s):  
M. Bianchi ◽  
A. De Pascale ◽  
F. Melino ◽  
A. Peretto ◽  
L. Branchini

Micro-CHP (Combined Heat and Power) energy systems are potentially suitable for residential and tertiary utilities, typically characterized by low-grade heat demand and limited electric-to-thermal energy demand ratio values. Different innovative and under development CHP technologies are currently investigated in small scale units, but a standard has not been identified till now. Moreover, depending on the load request, the produced electricity can be used, stored in electric accumulator or in the external net, or integrated with other external sources. Contextually, the available heat can be used, accumulated inside the system or dissipated. The actual convenience of small size CHP systems depends on the demand profiles and the operation management logic. A test facility is being developed, at the University of Bologna, for the experimental characterization of the cogenerative performance of small scale hybrid power systems, composed of micro-CHP systems of different technologies: a Micro Rankine Cycles (MRC), a Proton Exchange Membrane (PEM) Fuel Cells (FC), a battery and a heat recovery subsystem. The test set-up is also integrated with an external load simulator, in order to generate variable load profiles. This report describes the main characteristics of the implemented test bench, the selection procedure of the adopted micro-CHP unit and expected performance. Further the development of a calculation code able to simulate the performance of the considered systems will be described. This calculation code has been applied to design the components of the test bench. More in details, in this paper the sizing of the electrical energy storage system, and of the thermal and H2 storage tanks will be presented and discussed.


2021 ◽  
Vol 13 (20) ◽  
pp. 11407
Author(s):  
Sanaullah Ahmad ◽  
Azzam ul Asar

As energy demand is increasing, power systems’ complexities are also increasing. With growing energy demand, new ways and techniques are formulated by researchers to increase the efficiency and reliability of power systems. A distribution system, which is one of the most important entities in a power system, contributes up to 90% of reliability problems. For a sustainable supply of power to customers, the distribution system reliability must be enhanced. Distributed generation (DG) is a new way to improve distribution system reliability by bringing generation nearer to the load centers. Artificial intelligence (AI) is an area in which much innovation and research is going on. Different scientific areas are utilizing AI techniques to enhance system performance and reliability. This work aims to apply DG as a distributed source in a distribution system to evaluate its impacts on reliability. The location of the DG is a design criteria problem that has a relevant effect on the reliability of the distribution system. As the distance of load centers from the feeder increases, outage durations also increase. The reliability was enhanced, as the SAIFI value was reduced by almost 40%, the SAIDI value by 25%, and the EENS value by 25% after injecting DG into the distribution network. The artificial neural network (ANN) technique was utilized to find the optimal location of the DG; the results were validated by installing DG at prescribed localities. The results showed that the injection of DG at proper locations enhances the reliability of a distribution system. The proposed approach was applied to thte Roy Billinton Test System (RBTS). The implementation of the ANN technique is a unique approach to the selection of a location for a DG unit, which confirms that applying this computational technique could decrease human errors that are associated with the hit and trial methods and could also decrease the computational complexities and computational time. This research can assist distribution companies in determining the reliability of an actual distribution system for planning and expansion purposes, as well as in injecting a DG at the most optimal location in order to enhance the distribution system reliability.


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