Multi-criteria planning of microgrids for rural electrification

Bohra, Shabbir S.; Anvari‐Moghaddam, Amjad; Blaabjerg, Frede; Mohammadi‐Ivatloo, Behnam

doi:10.20517/jsegc.2021.06

Cited by 12 publications

(10 citation statements)

References 32 publications

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“…This can be achieved through different aggregation methods, such as weighted sum, weighted product, or outranking methods like the technique for order of preference by similarity to the ideal solution (TOPSIS) or the preference ranking organization method for enrichment evaluation (PROMETHEE). The result is a ranking or scoring of the alternatives based on their overall performance [31].…”

Section: Multi-criteria Decision Making (Mcdm)mentioning

confidence: 99%

Performance Assessment of Different Sustainable Energy Systems Using Multiple-Criteria Decision-Making Model and Self-Organizing Maps

Dash,

Chakravarty,

Giri

et al. 2024

Technologies

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The surging demand for electricity, propelled by the widespread adoption of intelligent grids and heightened consumer interaction with electricity demand and pricing, underscores the imperative for precise prognostication of optimal power plant utilization. To confront this challenge, a dataset centered on issue-centric power plans is meticulously crafted. This dataset encapsulates pivotal facets indispensable for attaining sustainable power generation, including meager gas emissions, installation cost, low maintenance cost, elevated power generation, and copious resource availability. The selection of an optimal power plant entails a multifaceted decision-making process, demanding a systematic approach. Our research advocates the amalgamation of multiple-criteria decision-making (MCDM) models with self-organizing maps to gauge the efficacy of diverse sustainable energy systems. The examination discerns solar energy as the preeminent MCDM criterion, securing the apex position with a score of 83.4%, attributable to its ample resource availability, considerable energy generation, nil greenhouse gas emissions, and commendable efficiency. Wind and hydroelectric power closely trail, registering scores of 75.3% and 74.5%, respectively, along with other energy sources. The analysis underscores the supremacy of the renewable energy sources, particularly solar and wind, in fulfilling sustainability objectives and scrutinizing factors such as cost, resource availability, and the environmental impact. The proposed methodology empowers stakeholders to make judicious decisions, accentuating facets that are required for more sustainable and resilient power infrastructure.

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Section: Multi-criteria Decision Making (Mcdm)mentioning

confidence: 99%

Performance Assessment of Different Sustainable Energy Systems Using Multiple-Criteria Decision-Making Model and Self-Organizing Maps

Dash,

Chakravarty,

Giri

et al. 2024

Technologies

View full text Add to dashboard Cite

show abstract

“…The authors found that the CC strategy outperforms the LF strategy based on the economic aspect. The research in [26] investigated multicriterion planning of a PV/wind/micro-hydro/biogas/battery HES to cover the electricity demand in a rural area in Tanzania using the LF strategy. The results indicated that the suggested HES is an interesting solution to electrify the selected site.…”

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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“…According to the inventors, the CC method outperforms the LF method from a financial standpoint. The investigation in [24] a PV/wind/miniature hydro/biogas/battery HES was explored using the LF approach multicriteria arranging to meet the demand for energy in a rural Tanzanian location. The results demonstrated that the proposed HES is an innovative method for billing the chosen location.…”

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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Multi-criteria planning of microgrids for rural electrification

Cited by 12 publications

References 32 publications

Performance Assessment of Different Sustainable Energy Systems Using Multiple-Criteria Decision-Making Model and Self-Organizing Maps

Performance Assessment of Different Sustainable Energy Systems Using Multiple-Criteria Decision-Making Model and Self-Organizing Maps

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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