Optimal Operation of Biomass/Wind/PV Hybrid Energy System for Rural Areas

2009 ◽  
Vol 6 (1) ◽  
pp. 104-116 ◽  
Author(s):  
P. Balamurugan ◽  
S. Ashok ◽  
T. L Jose
Electronics ◽  
2021 ◽  
Vol 10 (24) ◽  
pp. 3136
Author(s):  
Li-Ning Xing ◽  
Hong-Long Xu ◽  
Armin Kardan Sani ◽  
Md. Alamgir Hossain ◽  
S. M. Muyeen

Optimal sizing of hybrid energy systems has been considerably investigated in previous studies. Nevertheless, most studies only focused on providing AC electric loads by renewable energy sources (RESs) and energy storage systems (ESSs). In this paper, a hybrid energy system, including photovoltaic (PV) system, ESS, fuel cell (FC), natural gas (NG) boiler, thermal load controller (TLC), and converter is optimized for supplying different load demands. Three scenarios are introduced to investigate the feasibility of the energy system. Environmental aspects of each system are analyzed, as there are NG-consuming sources in the system structure. A sensitivity analysis is conducted on the influential parameters of the system, such as inflation rate and interest rate. Simulation results show that the proposed hybrid energy system is economically and technically feasible. The net present cost (NPC) and cost of energy (COE) of the system are obtained at $230,223 and $0.0409, respectively. The results indicate that the TLC plays a key role in the optimal operation of the PV system and the reduction in greenhouse gas emission productions.


2020 ◽  
Vol 45 (27) ◽  
pp. 14108-14118 ◽  
Author(s):  
Yan Cao ◽  
Qiangfeng Wang ◽  
Wen Cheng ◽  
Sayyad Nojavan ◽  
Kittisak Jermsittiparsert

2021 ◽  
Vol 14 (1) ◽  
pp. 57-66
Author(s):  
Saadoon Abdul Hafedh

Hybrid energy systems is an energy system which employs the combination of various renewable energy sources (solar, wind, biomass, hydro, and hydrogen fuel) with conventional energy sources to supply electricity. These systems have become reliable and most cost-effective as compare to single-source energy system for rural electrification. The objective of the present study is to address the demand for electrification of remote rural village in eastern Iraq. The methodology is carried out for optimization of hybrid energy system comprising (Photovoltaic, battery, diesel generator) by using HOMER to minimize the cost of energy and the greenhouse gas emissions. For different configuration of energy sources, the capital cost, net present cost and cost of energy is determined for the optimized hybrid energy system on the basis of the electric consumption demand for the selected site. The simulation results show that the most techno-economic analysis for hybrid energy system can feed the  rural village in eastern Iraq to meet a daily load of 30 kW has consisted of 6 kW photovoltaic array, 7 kW power inverter, 20 units of battery (305 Ah and 6V) and 35 kW wind turbines. The optimized energy system has a cost of energy about $ 0.117/kWh and total net present cost  by about $14800. The environmental assessment of the hybrid system shows that the greenhouse gases emissions will reduce about 25ton CO2/year (16968 kg/year) in the local atmosphere.


2011 ◽  
Vol 2011 ◽  
pp. 1-7 ◽  
Author(s):  
P. Balamurugan ◽  
S. Kumaravel ◽  
S. Ashok

The focus of the world on renewable energy sources is growing rapidly due to its availability and environment friendliness. However, the renewable energy influenced by natural conditions is being intermittent, it is difficult to accomplish stable energy supply only by one kind of renewable energy source. In order to achieve reliability, it is necessary to integrate two or more energy sources together in an optimal way as hybrid energy system. Optimal allocation of sources, unpredictable load demand, intermittent behaviors of sources, and charging and discharging of storage devices are the major challenges in operating a hybrid energy system. A new controller algorithm is developed and implemented in controller hardware to overcome the above issues. The controller is incorporated in biomass gasifier-based hybrid energy system in a university campus at south India. A case study is carried out in real-time at the site for a typical day. From the experimentation, it is estimated that the annual savings in the operating cost are Rs 375,459.00 ($8475.4) for the optimal allocation of the sources by the controller.


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