Techno-Economic Analysis of Renewable-Energy-Based Micro-Grids Considering Incentive Policies

Amini, Shiva; Bahramara, Salah; Golpîra, Hêmin; Bart, François; Soares, João

doi:10.3390/en15218285

Cited by 17 publications

(11 citation statements)

References 50 publications

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“…The optimal power source configuration is suggested based on an economic analysis by applying the climate data of the target area and power generation systems designed within the program [29]. Net Present Cost (NPC) is the main economic indicator of HOMER as a criterion for deriving economically optimal system configurations [30]. The NPC is calculated through the capital cost, replacement cost, and maintenance cost that occurred during the entire project period as follows [7]:…”

Section: Economic Evaluationmentioning

confidence: 99%

Optimum Design of an Electric Vehicle Charging Station Using a Renewable Power Generation System in South Korea

et al. 2023

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In the context of global warming and fossil fuel depletion, electric vehicles (EVs) have become increasingly popular for reducing both carbon emissions and fossil fuel consumption. However, as the demand for EV charging power rises along with the expansion of EVs, conventional power plants require more fuel, and carbon emissions increase. This suggests that the goal of promoting EV adoption to mitigate climate change and reduce reliance on fossil fuels may face significant challenges. Therefore, there is a need to adopt renewable energy generation for EV charging stations to maximize the effectiveness of EV distribution in an eco-friendly way. This paper aims to propose an optimal renewable energy generation system for an EV charging station, with a specific focus on the use of an actual load profile for the station, the consideration of carbon emissions and economic evaluation, and the study of a specific case location in Korea. As a case study, an EV charging station in Korea was selected, and its renewable energy fractions (REF) of 0%, 25%, 50%, 75%, and 100% were considered for comparison of carbon emissions and economic evaluation with the help of HOMER software. In addition, the system with 25% REF was analyzed to find the best operating strategy considering the climate characteristics of the case site. The results show that the system configuration of PV/ESS is the most economical among all the REF cases, including PV, WT, and ESS, due to the meteorological characteristics of the site, and that the system with REF below 25% is the most optimal in economic terms and carbon emissions.

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Section: Economic Evaluationmentioning

confidence: 99%

Optimum Design of an Electric Vehicle Charging Station Using a Renewable Power Generation System in South Korea

et al. 2023

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“…The scheme under consideration incorporates an optimization model [48,49]. The optimization formulation comprises an objective function [50][51][52]. Objective function includes min [53][54][55] (max [56][57][58]) term to calculate minimum (maximum) value of this function.…”

Section: Lower-level Problemmentioning

confidence: 99%

Resilience‐oriented expansion planning of multi‐carrier microgrid utilizing bi‐level technique

Dehshiri Badi,

Amir,

Shariatmadar

2023

IET Renewable Power Gen

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This paper presents the generation and transmission expansion planning (GTEP) in electricity and gas networks by considering their resilience against floods and earthquakes. These networks supply electricity, heat, and gas consumption energies as a multi‐carrier microgrid. The scheme is expressed in the form of bi‐level optimization, the upper level of which is the minimization of generation and transmission planning cost (total investment cost and expected operating cost) in the mentioned networks constrained to the investment budget and the planning model of the mentioned elements. Lower‐level formulation minimizes the total expected annual operating cost of these networks and the expected outage cost of electricity, heat, and gas consumers in the event of floods and earthquakes. This formulation is bound by the power flow equations of electricity and gas networks, the operation and resilience constraints of the networks, and the limitation on generation capability. In this problem, the expected energy not‐supplied and the outage cost during natural disasters are considered resilience indicators. Next, a single‐level model for the proposed design is extracted from the Karush–Kuhn–Tucker (KKT) method. The basic requirement of this method is the convexity of the lower‐level constraints. For this purpose, first, a linear approximation model is obtained for the lower‐level constraints of the problem. Furthermore, stochastic optimization is adopted to model the uncertainty of load, renewable power, and network equipment availability during floods and earthquakes. Finally, the extracted numerical results confirm the capability of the proposed scheme in improving the operation and resilience of the mentioned networks using optimal generation and transmission planning.

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“…In [20], the authors emphasise that renewable energy solutions are appropriate for ongrid and off-grid applications, acting as a supporter for the utility network or rural location, and went ahead also to examine hybrid renewable energy power production systems with a focus on energy sustainability, reliability due to irregularities, techno-economic feasibility, and environmentally friendliness. At the same time, a techno-economic analysis of renewable energy-based micro-grids (MG) considering incentive policies was presented in [21] for developing countries such as Iran. The developed framework for the optimal planning of a renewable energy-based MG considering incentive policies indicates that the proposed incentive policies reduce the MG's total net present cost (NPC) and the amount of carbon dioxide (CO 2 ) emissions.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Planning and Deployment of Hybrid Renewable Energy to Rural Healthcare Facilities in Nigeria

Olatomiwa,

Longe,

Abd’Azeez

et al. 2023

Energies

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This paper takes a cursory look at the problem of inadequate power supply in the rural healthcare centres of a developing country, specifically Nigeria, and proffers strategies to address this issue through the design of hybrid renewable energy systems combined with the existing unreliable grid in order to meet the healthcare load demand, thus ensuring higher reliability of available energy sources. The simulations, analysis and results presented in this paper are based on meteorological data and the load profiles of six selected locations in Nigeria, using which hybrid grid-connected systems integrating diesel, solar and wind energy sources are designed with configurations to give optimum output. The optimised design configurations in the considered case study, Ejioku, Okuru-Ama, Damare-Polo, Agbalaenyi, Kadassaka and Doso, produce very low energy costs of of 0.0791 $/kWh, 0.115 $/kWh, 0.0874 $/kWh, 0.0754 $/kWh, 0.0667 $/kWh and 0.0588 $/kWh, respectively, leveraging solar and wind energy sources which make higher percentage contributions at all sites. The load-following-dispatch strategy is adopted at all sites, ensuring that at every point in time, there is sufficient power to meet the needs of the healthcare centres. Further works on this topic could consider other strategies to optimise general energy usage on the demand side.

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Techno-Economic Analysis of Renewable-Energy-Based Micro-Grids Considering Incentive Policies

Cited by 17 publications

References 50 publications

Optimum Design of an Electric Vehicle Charging Station Using a Renewable Power Generation System in South Korea

Optimum Design of an Electric Vehicle Charging Station Using a Renewable Power Generation System in South Korea

Resilience‐oriented expansion planning of multi‐carrier microgrid utilizing bi‐level technique

Optimal Planning and Deployment of Hybrid Renewable Energy to Rural Healthcare Facilities in Nigeria

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