Comparative study on the economic feasibility of nanogrid and microgrid electrification: The case of Jeju Island, South Korea

2020 ◽  
pp. 0958305X2092311
Author(s):  
Jinwoo Bae ◽  
Soojung Lee ◽  
Heetae Kim

Due to heavy fuel dependence, the “renewable energy system” idea is an important issue in South Korea. The government of South Korea is endeavoring to convert its energy infrastructure into renewable energy generation. As such, numerous studies have evaluated the economic feasibility of various renewable energy sources in South Korea. This study differs from those studies as it is focused on a smaller scale in terms of self-supporting nanogrid and microgrid energy. The purpose of this study is to determine which type of grid is more economical. To conduct a comparative study on the economic feasibility of nanogrids and microgrids, three substations on Jeju Island were randomly selected. We then suggested two scenarios. The first scenario is <nanogrid>, which changes each substation into a nanogrid, and the second is <microgrid>, which connects the three nanogrids to share electricity. This study identifies the optimal combination of hybrid energy resources using HOMER (hybrid optimization model for electric renewables) software to change the substations into an self-supporting energy nanogrid or microgrid. According to the net present cost and cost of energy results for each scenario through HOMER simulations, the <nanogrid> scenario is more economical than the <microgrid> scenario. However, this study also shows that microgrids can be the better option, depending on the distance between nanogrids. Finally, implications and limitations are discussed in the last section of this paper.

Author(s):  
Ajoya Kumar Pradhan ◽  
Mahendra Kumar Mohanty ◽  
Sanjeeb Kumar Kar

The off-grid hybrid renewable energy generation system has lesser cost of energy with higher reliability when compared with solar photovoltaic (PV) or wind energy system individually. The optimization design is worked out by reducing the unit cost of energy (UCOE) for different case studies and comparing the outcomes obtained by the use of HOMER-Pro (Hybrid Optimization Model of Electric Renewable) software. The optimal cash flow analysis of hybrid energy system is based on the load patterns is discussed, solar irradiance (kW/m2) of site at proper latitude and longitude, wind speed and price of diesel, which is collected from a remote village in Khurda District, Odisha in India. Moreover, the optimization and sensitivity results of the system are find out by varying the input parameters like solar radiation, wind speed etc.


Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2639
Author(s):  
Mahelet G. Fikru ◽  
Gregory Gelles ◽  
Ana-Maria Ichim ◽  
Joseph D. Smith

Despite advances in small-scale hybrid renewable energy technologies, there are limited economic frameworks that model the different decisions made by a residential hybrid system owner. We present a comprehensive review of studies that examine the techno-economic feasibility of small-scale hybrid energy systems, and we find that the most common approach is to compare the annualized life-time costs to the expected energy output and choose the system with the lowest cost per output. While practical, this type of benefit–cost analysis misses out on other production and consumption decisions that are simultaneously made when adopting a hybrid energy system. In this paper, we propose a broader and more robust theoretical framework—based on production and utility theory—to illustrate how the production of renewable energy from multiple sources affects energy efficiency, energy services, and energy consumption choices in the residential sector. Finally, we discuss how the model can be applied to guide a hybrid-prosumer’s decision-making in the US residential sector. Examining hybrid renewable energy systems within a solid economic framework makes the study of hybrid energy more accessible to economists, facilitating interdisciplinary collaborations.


2014 ◽  
Vol 2014 ◽  
pp. 1-18
Author(s):  
Yan Zhang ◽  
Jie Meng ◽  
Bo Guo ◽  
Tao Zhang

As more and more renewable energy sources (RES) integrated into the conventional distribution system, how to make the current electric grid more reliable and efficient is becoming an important topic the world must face. In order to achieve these goals, grid-connected hybrid energy systems (HES) which contain battery energy storage systems (BESS) and many other advanced technologies have been developed and applied. Many benefits of BESS, such as high density of energy and power, have fast response in energy time-shift, frequency regulation, and so on. This paper focuses on the fluctuation alleviation and power quality improvement of grid-connected HES with high penetration level of RES. A multistage dispatch strategy of BESS for HES is proposed in this paper to mitigate the randomness and intermittence of the power flowed in HES because of high penetration level of RES integration. Four other conventional strategies are also discussed for evaluating the performance of the method proposed in this paper. Detailed cases and corresponding discussions are implemented, and the results show that the method proposed in this paper is more effective and robust than the other conventional strategies.


Author(s):  
PAVAN R. PADGHAN ◽  
P.K. KATTI

This paper describe of a renewable energy based hybrid energy system with MATLAB implementation results. In order to meet sustained load demand during varying natural conditions, different renewable energy sources need to be integrated with each other. This paper focuses on the combination of wind/fuel cell hybrid energy system. As wind turbine output power varies with wind speed & FC systems can be integrated to ensure that the system performs under all conditions. The result show that the proposed hybrid energy system can be tolerate the rapid change in natural condition and suppress the effect of the fluctuation on the voltage wind turbine the acceptable range.


Author(s):  
Luis Recalde ◽  
Hong Yue ◽  
William Leithead ◽  
Olimpo Anaya-Lara ◽  
Hongda Liu ◽  
...  

Abstract Integrating marine renewables and aquaculture is a complex task. The generated power of each renewable technology depends on its source cycle (wind, wave, solar PV), leading to periods of zero power production. On the other side, aquaculture farms require smooth and stable power supply since any power shortage can lead to the loss of the entire farm production. This paper illustrates the sizing of a hybrid energy system (wind,solar PV, energy storage) to power up the aquaculture farm. The sizing is based on available commercial technology and the system is mounted on a single multi-purpose platform. Reliability is improved by considering device redundancies. Such hybrid system has not been considered before for aquaculture farms. System rough sizing, based on simple online renewable energy calculators, is used to select existing renewable technologies and HOMER Pro simulation software is used to evaluate the technical and economic feasibility of the microgrid for all possible combinations of the technology selected and perform sensitivity analysis on wind turbine tower height, battery state of charge and solar PV panels reflectance. The optimisation is subject to combined dispatch strategy and net present cost.


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.


A Smart Grid is a reviving structure of traditional centralized power sector which incorporates smart software and hardware technologies. It provides communication among the prosumers and consumers to achieve sustainability and reliability in an economical way. A microgrid (MG) is a unit of smart grid which consists of distributed energy sources with renewable energy sources, energy storage units and variable loads. Because of stochastic nature of renewable energy sources to maintain balance between supply and demand a novel hybrid energy management controller need to be devised. This paper presents various operational objectives and constraints associated with energy management system of hybrid energy system. Also it compares and discusses various optimization algorithms in the literature.


2019 ◽  
Vol 8 (1) ◽  
pp. 13-30 ◽  
Author(s):  
C. Mekontso ◽  
Abdulkarim Abubakar ◽  
S. Madugu ◽  
O. Ibrahim ◽  
Y. A. Adediran

The growing evidence of the global warning phenomena and the rapid depletion of fossil fuels have drawn the world attention to the exploitation of renewable energy sources (RES). However standalone RES have been proven to be very expensive and unreliable in nature owing to the stochastic nature of the energy sources. Hybrid energy system is an excellent solution for electrification of areas where the grid extension is difficult and not economical. One of the main attribute of hybridising is to be able to optimally size each RES including storages with the aim of minimizing operation costs while efficiently and reliably responding to load demand. Hybrid RES emerges as a trend born out of the need to fully utilize and solve problems associated with the reliability of RES. This paper present a review of techniques used in recent optimal sizing of hybrid RES. It discusses several methodologies and criteria for optimization of hybrid RES. The recent trend in optimization in the field of hybrid RES shows that bio-inspired techniques may provide good optimization of system without extensive long weather data.


Author(s):  
A. T. D. Perera

The importance of integrating renewable energy sources into standalone energy systems is highlighted in recent literature. Maintaining energy efficiency is challenging in designing such hybrid energy systems (HES) due to seasonal variation of renewable energy potential. This study evaluates the limitations in minimizing the losses in renewable energy generated mainly due to energy storage limitations and minimizing fuel consumption of the internal combustion generator (ICG). A standalone hybrid energy system with Solar PV (SPV), wind, battery bank and an ICG is modeled and optimized in this work. Levelized Energy Cost (LEC), Waste of Renewable Energy (WRE) and Fuel Consumption (FC) are taken as objective functions. Results highlight the importance of considering WRE as an objective function which increase the mix of energy sources that can help to increase the reliability of the system.


Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3527
Author(s):  
Navid Shirzadi ◽  
Fuzhan Nasiri ◽  
Ursula Eicker

Although renewable technologies are progressing fast, there are still challenges such as the reliability and availability of renewable energy sources and their cost issues due to capital intensity that hinder their broad adoption. This research aims at developing a configuration-sizing approach to enhance the cost efficiency and sourcing reliability of renewable energies integrated in microgrids. To achieve this goal, various technologies were considered, such as solar PV, wind turbines, converters, and batteries for system configuration with minimization of net present cost (NPC) as the objective. Grid connection scenarios with up to 100% renewable contribution were analyzed. The results show that the integration of renewable technologies with some grid backup could reduce the levelized cost of energy (LCOE) to about half of the price of the electricity that the university purchases from the grid. Also, different kinds of solar tracker systems were studied. The outcome shows that by using a vertical axis solar tracker, the LCOE of the system could be reduced by more than 50 percent. This research can help the decision-maker to opt for the best scenarios for generating reliable and cost-efficient electricity.


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