Microgrid analysis using HOMER: a case study

Restrepo, David; Cuestas, Bonie Johana Restrepo; Trejos, Adriana

doi:10.15446/dyna.v85n207.69375

Cited by 19 publications

(10 citation statements)

References 8 publications

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“…requires that private electricity retail sellers and publicly owned electric utilities should procure 20-50% of their electricity from eligible renewable energy resources by 2030 [19]. The findings of this study revealed a renewable penetration of 293%, which differs from the 72% renewable penetration obtained by Restrepo et al [20], who implemented the design and performance analysis of a micro grid also using HOMER Pro at Medellin, Colombia. This dissimilarity is largely due to topographic variations in the two micro grid locations (Keffi in Nigeria, and Medellin in Colombia).…”

Section: Discussioncontrasting

confidence: 60%

Techno-Economic Analysis of a Hybrid Campus Microgrid

Yusuf

Abdulhamid

Loko

2022

JENRR

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Aims: To design and develop a campus micro-grid model for Nasarawa State University Keffi (NSUK), main campus, Nigeria. Study Design: Econometric and financial feasibility analysis. Place and Duration of Study: Department of Physics, Nasarawa State University Keffi, main campus, Nigeria, between October 2019 and September 2020. Methodology: Assessment of the campus load profile, energy consumption history, grid availability and present constraints to the existing system was carried out using the Fluke Power Analyzer and Fluke Industrial Multimeter. The parameters were used as the defining inputs to HOMER Pro micro-grid design and optimization software to calculate the net present cost, levelized cost of energy, total annual cost, capital recovery factor, and the real discount rate for NSUK, main campus, Nigeria. Results: For a total daily demand of 11,162.13kWh, the optimization results indicated a net present cost of $2,499,296.31, cost of energy $0.05, total annual electrical energy output 15,619,101.08kWh, and renewable penetration 293%, as compared to net present cost of $9,680,196.57, cost of energy $0.096, total annual electrical energy output 369,729.73kWh, and a renewable penetration 0.0% for the existing NSUK grid-only dependent system. Conclusion: Optimization results were considerably better than those obtained for the NSUK existing grid-only dependent system. Therefore, the micro-grid technology is a sustainable solution to the increasing energy demand for Nasarawa State University.

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Section: Discussioncontrasting

confidence: 60%

Techno-Economic Analysis of a Hybrid Campus Microgrid

Yusuf

Abdulhamid

Loko

2022

JENRR

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“…HOMER Pro enables users to model various energy generation sources, such as solar panels, wind turbines, batteries, and conventional generators, to find the most cost-effective and efficient combination for a given energy project. The software has parameter fine-tuning capabilities to enable researchers and designers to select the feasible and best HRES strategies [37].…”

Section: Homer Pro Softwarementioning

confidence: 99%

Performance and Techno-Economic Analysis of Optimal Hybrid Renewable Energy Systems for the Mining Industry in South Africa

Nkambule,

Hasan,

Shongwe

2023

Sustainability

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This paper presents an exploration of the potential of hybrid renewable energy systems (HRESs), combining floating solar photovoltaics (FPV), wind turbines, and vanadium redox flow (VRF) battery energy storage systems (BESSs) to expedite the transition from conventional to renewable energy for the mining sector in South Africa. The feasibility study assesses how to enhance the overall efficiency and minimize greenhouse gas emissions from an economic standpoint by using the Hybrid Optimization of Multiple Energy Resources (HOMER) grid software version 1.11.1 and PVsyst version 7.4. Furthermore, the BESS Covariance Matrix Adaptation Evolution Strategy (CMA-ES) dispatch algorithm is proposed to make the most of the battery storage capacity and capability, aligning it with the dynamic energy demand and supply patterns of an HRES. The proposed HRES includes a highly efficient SFPV with a performance ratio of 0.855 and an annual energy production of 15,835 MWh; a wind turbine (WT) operating for 2977 h annually, achieving a 25% wind penetration rate; and a dynamic VRF-BESS with a 15,439 kWh life throughput and a 3 s dispatch response time. This HRES has a CapEx of R172 million, a 23.5% Internal Rate of Return (IRR), and an investment payback period of 4.9 years. It offers a low Levelized Cost of Energy (LCoE) at 4.27 R/kWh, a competitive Blended Cost of Energy (BCoE) at 1.91 R/kWh, and a positive net present cost (NPC), making it economically advantageous without external subsidies. Moreover, it annually reduces CO2 emissions by 1,715,468 kg, SO2 emissions by 7437 kg, and NOx emissions by 3637 kg, contributing to a significant environmental benefit.

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“…HOMER has three capabilities: simulation, optimisation and sensitivity analysis. Due to its dedicated microgrid development software and design, it has been used in multiple studies involving microgrid analysis (Krishna, 2011;Restrepo, Restrepo-Cuestas and Trejos, 2018;Rousis et al, 2018;Çetinbaş, Tamyürek and Demirtaş, 2019). The software optimisation has a user defined search space and implements a brute force optimisation, which runs multiple scenarios and discards infeasible ones (those that do not satisfy the user-specified constraints).…”

Section: Electricity Network Modelling and Optimisation Toolsmentioning

confidence: 99%