Feasibility Sensitivity Analysis in Potential Area for Standalone Hybrid Renewable Energy in Tamil Nadu, India

2014 ◽  
Vol 573 ◽  
pp. 757-766 ◽  
Author(s):  
U. Suresh Kumar ◽  
P.S. Manoharan ◽  
M. Valan Rajkumar

This paper attempts an investigation of the potential area of the standalone hybrid (solar and wind) renewable energy source. The investigation are based on the optimization result and ranking status. The various coastal areas identified for this are Kilakarai, Mandapam, Thirupullani, Kadaladi and Rameswaram in Ramanathapuram District of Tamilnadu State, India. The sensitivity analysis is also conducted. The consumer demand data are collected through the local distribution agency for the identified coastal areas. The wind and solar resources data are collected from NASA’s surface meteorology and solar energy resource. HOMER has been used in this paper for optimization result and for sensitivity analysis. The preliminary investigation indicates that Thirupullani area is the potential area for standalone hybrid renewable energy system among the five coastal areas identified. By the sensitivity analysis, it is proved that the cost of energy, net present cost and operating cost was reduced to half of the actual cost, except the capacity shortage in Thirupullani area.Keywords: Solar and Wind Energy, HOMER, Potential Analysis, Ranking Status

The global climate change and rapidly growing population over the decades are creating an enormous burden on conventional energy sources. Global environmental concern is expected for the proper planning of renewable sources to increase a positive impact on global warming. The hybrid renewable energy system is proposed for optimum sizing, costing, quality, and reliability of supply for the standalone system. This research study also includes a multi-objective optimization of the Net Present Cost (NPC)t, fuel cost, operating cost, and Cost of Energy of the hybrid system. A hybrid renewable energy system has been designed, which includes solar, wind, battery, and diesel generator for a standalone off-grid. The simulation and techno-economic analysis of case studies indicate that the hybrid system decreases the operating cost according to meteorological conditions. The employed algorithm, for power management, results in minimum use of diesel generator and a reduction in fuel cost. Furthermore, the proposed system shows better results when analyzed for Loss of power supply probability, Renewable factor, Carbon content, and Sensitivity. Thus, the proposed model proves that minimum utilization of diesel generator requires maximum utilization of renewable energy sources, thereby reducing the emission of greenhouse gases and reducing global warming.


Author(s):  
K. Karunanithi ◽  
S. P. Raja ◽  
S. Ramesh ◽  
K. Karthikumar ◽  
P. Chandrasekar ◽  
...  

The principal aim of Sustainable Development Goals (SDGs) or Global Goals is to attain a much better and more sustainable future for all. In recent times, microgrids have attracted much attention, given the transformation of software systems and raising the bar for customers in terms of sustainability, reliability and cost predictability. Consequently, there is a need for microgrid development in remote areas. Our paper proposes a hybrid renewable energy microgrid (HREM) that focuses on the affordable, efficient, reliable and sustainable growth of energy systems. This paper presents an optimized off-grid HREM for a remote locality in the south Indian state of Tamil Nadu. The proposed approach employs a configuration of photovoltaic (PV) arrays, AC loads, a diesel generator set, a wind turbine and a battery energy storage system (BESS) connected to AC/DC buses and designed to satisfy the power requirements of a remote, rural community residential area. The primary objective was to carry out a cost optimization of the designed system. A sensitivity analysis was also conducted to obtain a feasible solution from the optimized results and evaluate the robustness of the design. The primary objective was to carry out a cost optimization of the designed system. A sensitivity analysis was also conducted to obtain a feasible solution from the optimized results and evaluated the robustness of the design. A detailed analysis was made by comparing the [Formula: see text] [Formula: see text] and [Formula: see text] [Formula: see text] and it was found that the former offered better results for the particular location. Overall, it was observed that our proposed system offers renewable energy for residential loads that is relatively inexpensive, reliable and sustainable.


2020 ◽  
Vol 10 (12) ◽  
pp. 4061 ◽  
Author(s):  
Naoto Takatsu ◽  
Hooman Farzaneh

After the Great East Japan Earthquake, energy security and vulnerability have become critical issues facing the Japanese energy system. The integration of renewable energy sources to meet specific regional energy demand is a promising scenario to overcome these challenges. To this aim, this paper proposes a novel hydrogen-based hybrid renewable energy system (HRES), in which hydrogen fuel can be produced using both the methods of solar electrolysis and supercritical water gasification (SCWG) of biomass feedstock. The produced hydrogen is considered to function as an energy storage medium by storing renewable energy until the fuel cell converts it to electricity. The proposed HRES is used to meet the electricity demand load requirements for a typical household in a selected residential area located in Shinchi-machi in Fukuoka prefecture, Japan. The techno-economic assessment of deploying the proposed systems was conducted, using an integrated simulation-optimization modeling framework, considering two scenarios: (1) minimization of the total cost of the system in an off-grid mode and (2) maximization of the total profit obtained from using renewable electricity and selling surplus solar electricity to the grid, considering the feed-in-tariff (FiT) scheme in a grid-tied mode. As indicated by the model results, the proposed HRES can generate about 47.3 MWh of electricity in all scenarios, which is needed to meet the external load requirement in the selected study area. The levelized cost of energy (LCOE) of the system in scenarios 1 and 2 was estimated at 55.92 JPY/kWh and 56.47 JPY/kWh, respectively.


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