Techno-economic optimization of hybrid renewable electrification systems for Malawi’s rural villages

Malanda, Clement; Makokha, Augustine B.; Nzila, Charles; Zalengera, Collen

doi:10.1080/23311916.2021.1910112

Cited by 20 publications

(5 citation statements)

References 24 publications

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“…Authors of Ref. [4] proposed optimal hybrid renewable electrification systems for rural villages in Malawi, achieving a maximum renewable energy penetration of 100% in all considered scenarios. The result suggests that deploying these systems could significantly reduce the emissions of harmful greenhouse gases.…”

Section: Introductionmentioning

confidence: 99%

Techno‐Economic Modeling of Diverse Renewable Energy Sources Integration: Achieving Net‐Zero CO₂ Emissions

Danish,

Ueda,

Furukakoi

et al. 2024

IEEJ Transactions Elec Engng

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Integrating renewable energy sources (RES) into power systems presents significant challenges due to their diverse nature and operational characteristics. This study addresses these challenges through an innovative strategy that simulates solar and wind farms, storage systems, fuel cell generators of hydrogen energy (via electrolysis), and hydrogen storage, all governed by an intelligent controller. Alongside a mathematical model defining the system's dynamics, a multi‐objective optimization model is employed, exploring the system's operational, financial, and environmental impacts. While the mathematical model has limitations, the advanced model captures the system's dynamic behavior with exceptional precision. This intelligent simulation simplifies the complex interrelationships between various resources in the system, highlighting the viability of RES integration for enhanced benefits. Multi‐objective optimization of a real case study of Iowa 240‐Bus power system in the Midwest United States has resulted in an annual savings of $126 147.8, along with a significant CO2 reduction of 951 035.6 kg compared with the basecase. The total annual energy costs, including capital costs and electricity sales, are reported to be $157 430.4, and the total annual CO2 emissions are −4453.8 kg. Financial indicators highlight an annual cost reduction of 10.3% and an annual emission reduction of 100.5%. The simple and detailed project break‐even years are 18 and 1, respectively, with the project savings to cost minimization scenario ratio at 1.04. The optimization process efficiently handled a complex problem involving 5921 iterations, 299 247 variables, 11 854 discrete variables, and 342 167 equations, completing the entire operation in 12.7 s. © 2024 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

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Section: Introductionmentioning

confidence: 99%

Techno‐Economic Modeling of Diverse Renewable Energy Sources Integration: Achieving Net‐Zero CO₂ Emissions

Danish,

Ueda,

Furukakoi

et al. 2024

IEEJ Transactions Elec Engng

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“…The COE and NPC of the system using the CC strategy were found to be lower than those of the system when using the LF strategy. An optimal design of an off-grid HES for the electrification of a rural location in Malawi was investigated in [32]. The energy flow between the different system components and the load was examined using the CC strategy.…”

Section: Introductionmentioning

confidence: 99%

Design and Optimization of a Grid-Connected Solar Energy System: Study in Iraq

et al. 2022

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Hybrid energy systems (HESs) consisting of both conventional and renewable energy sources can help to drastically reduce fossil fuel utilization and greenhouse gas emissions. The optimal design of HESs requires a suitable control strategy to realize the design, technical, economic, and environmental objectives. The aim of this study is to investigate the optimum design of a grid-connected PV/battery HES that can address the load requirements of a residential house in Iraq. The MATLAB Link in the HOMER software was used to develop a new dispatch strategy that predicts the upcoming solar production and electricity demand. A comparison of the modified strategy with the default strategies, including load following and cycle charging in HOMER, is carried out by considering the techno-economic and environmental perspectives. According to optimization studies, the modified strategy results in the best performance with the least net present cost (USD 33,747), unmet load (87 kWh/year), grid purchases (6188 kWh/year), and CO2 emission (3913 kg/year). Finally, the sensitivity analysis was performed on various critical parameters, which are found to affect the optimum results on different scales. Taking into consideration the recent advocacy efforts aimed at achieving the sustainable development targets, the models proposed in this paper can be used for a similar system design and operation planning that allow a shift to more efficient dispatch strategies of HESs.

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“…The framework using the CC technique was thought to have lower COE and NPC than the framework using the LF methodology. An optimum HES design for the shock of a provincial area in Malawi was investigated in [29]. The energy transfer between the different framework elements and the heap was investigated using the CC technique.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Prospect of Hybrid Energy in the Cement Industry of Pakistan Using Homer Pro

Basheer¹,

Waqar²,

Qaisar³

et al. 2022

Preprint

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Cement manufacturing is one of the most energy-intensive industries in the world. Most of the cost of producing cement is accounted by fuel consumption and power expenditures. Thermal power plants are the major source of electricity in Pakistan. But they are not efficient and environmentally friendly. This study simulates four different models for five cement plants of Pakistan on Homer Pro software and compares the optimal solutions based on the net present cost (NPC), levelized cost of electricity (LCOE) and greenhouse gas (GHG) emissions. Model-1 consists of solar panels, electrolyzer, hydrogen tank, hydrogen generator and converter. Model-2 has only a diesel generator and acts as a base case in this study. Model-3 has solar panels and a battery-converter system. In Model-4, diesel generators, solar panels and converters are considered. Based on NPC, the most optimal model is Model-4, having a 0.249 $/KWh LCOE in islanded systems. The NPC and operating costs are US$540 million and US$ 32.5 million per year, respectively, with a 29.80% reduction in CO2 emissions when compared to the base case. Based on GHG emissions, Model-1 and Model-3 are the best models with 0% GHG emissions. Sensitivity analyses is also performed using the parameters of load, inflation rate and discounted rate. The results prove that the proposed hybrid micropower systems (HMS) can sustainably provide electricity for 24 hours a day to the sites under consideration with minimum objectives.

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Techno-economic optimization of hybrid renewable electrification systems for Malawi’s rural villages

Cited by 20 publications

References 24 publications

Techno‐Economic Modeling of Diverse Renewable Energy Sources Integration: Achieving Net‐Zero CO₂ Emissions

Techno‐Economic Modeling of Diverse Renewable Energy Sources Integration: Achieving Net‐Zero CO₂ Emissions

Design and Optimization of a Grid-Connected Solar Energy System: Study in Iraq

Analyzing the Prospect of Hybrid Energy in the Cement Industry of Pakistan Using Homer Pro

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Techno-economic optimization of hybrid renewable electrification systems for Malawi’s rural villages

Cited by 20 publications

References 24 publications

Techno‐Economic Modeling of Diverse Renewable Energy Sources Integration: Achieving Net‐Zero CO2 Emissions

Techno‐Economic Modeling of Diverse Renewable Energy Sources Integration: Achieving Net‐Zero CO2 Emissions

Design and Optimization of a Grid-Connected Solar Energy System: Study in Iraq

Analyzing the Prospect of Hybrid Energy in the Cement Industry of Pakistan Using Homer Pro

Contact Info

Product

Resources

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Techno‐Economic Modeling of Diverse Renewable Energy Sources Integration: Achieving Net‐Zero CO₂ Emissions

Techno‐Economic Modeling of Diverse Renewable Energy Sources Integration: Achieving Net‐Zero CO₂ Emissions