Analysis of obstacles to adoption of solar energy in emerging economies using spherical fuzzy AHP decision support system: A case of Pakistan

Energy Reports, Journal Year: 2023, Volume and Issue: 10, P. 381 - 395

Published: July 6, 2023

Adopting suitable energy policies that consider the existence of main obstacles could make development solar systems much smoother. Several have been placed in way Pakistan, which has prevented its growth from reaching a satisfactory level. In order to tackle these issues, it is necessary first recognize stand implementing energy. So, this research aims find and rank expansion power Pakistan using novel spherical fuzzy analytical hierarchy process. The results revealed economic category (21.46%) ranks highest among major categories. contrast, overall global ranking sub-obstacles showed budget constraints (4.68%), lack access credit/capital (4.52%), political instability (4.51%), high investment risk operation cost (4.42%), partnership issues (4.37%) are more critical five than rest twenty-one within different addition, recommendations made for elimination obstacles. current study policy implications policymakers, researchers, practitioners involved sector country. Furthermore, may help develop strategies smooth deployment Pakistan.

Language: Английский

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A novel hybrid approach combining Differentiated Creative Search with adaptive refinement for photovoltaic parameter extraction

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 122764 - 122764

Published: Feb. 1, 2025

Language: Английский

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A new modified version of mountain gazelle optimization for parameter extraction of photovoltaic models

Electrical Engineering, Journal Year: 2024, Volume and Issue: 106(5), P. 6565 - 6585

Published: April 20, 2024

Language: Английский

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Modified Rime-Ice Growth Optimizer with Polynomial Differential Learning Operator for Single- and Double-Diode PV Parameter Estimation Problem

Electronics, Journal Year: 2024, Volume and Issue: 13(9), P. 1611 - 1611

Published: April 23, 2024

A recent optimization algorithm, the Rime Optimization Algorithm (RIME), was developed to efficiently utilize physical phenomenon of rime-ice growth. It simulates hard-rime and soft-rime processes, constructing mechanisms puncture search. In this study, an enhanced version, termed Modified RIME (MRIME), is introduced, integrating a Polynomial Differential Learning Operator (PDLO). The incorporation PDLO introduces non-linearities enhancing its adaptability, convergence speed, global search capability compared conventional approach. proposed MRIME algorithm designed identify photovoltaic (PV) module characteristics by considering diverse equivalent circuits, including One-Diode Model (ONE-DM) Two-Diode TWO-DM, determine unspecified parameters PV. approach method using two commercial PV modules, namely STM6-40/36 R.T.C. France cell. simulation results are juxtaposed with those from contemporary algorithms based on published research. outcomes related also in relation various existing studies. indicate that demonstrates substantial improvement rates for cell, achieving 1.16% 18.45% ONE-DM, respectively. For it shows significant reaching 1.14% 50.42%, comparison previously results, establishes superiority robustness.

Language: Английский

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A Fractional Order-Kepler Optimization Algorithm (FO-KOA) for Single and Double-diode Parameters PV Cell Extraction

Heliyon, Journal Year: 2024, Volume and Issue: 10(16), P. e35771 - e35771

Published: Aug. 1, 2024

The primary objective of this study is to investigate the effects Fractional Order Kepler Optimization Algorithm (FO-KOA) on photovoltaic (PV) module feature identification in solar systems. Leveraging strengths original KOA, FO-KOA introduces fractional order elements and a Local Escaping Approach (LEA) enhance search efficiency prevent premature convergence. FO element provides effective information past expertise sharing amongst participants avoid converging. Additionally, LEA incorporated boost procedure by evading local optimization. single-diode-model (SDM) Double-diode-model (DDM) are two different equivalent circuits that used for obtaining unidentified parameters PV. Applied KC-200, Ultra-Power-85, SP-70 PV modules, compared KOA technique contemporary algorithms. Simulation results demonstrate FO-KOA's remarkable average improvement rates, showcasing its significant advantages robustness over earlier reported methods. proposed demonstrates exceptional performance, outperforming existing algorithms 94.42 %–99.73 % optimizing cell parameter extraction, particularly KC200GT module, consistent superiority robustness. Also, validated SDM DDM well-known RTC France cell.

Language: Английский

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Accurate parameters extraction of photovoltaic models with multi-strategy gaining-sharing knowledge-based algorithm

Information Sciences, Journal Year: 2024, Volume and Issue: 670, P. 120627 - 120627

Published: April 12, 2024

Language: Английский

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Identifying and prioritization barriers to renewable energy diffusion in developing countries: a novel spherical fuzzy AHP approach and application

Energy Efficiency, Journal Year: 2024, Volume and Issue: 17(5)

Published: April 24, 2024

Language: Английский

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Efficient estimation of PV parameters for existing datasets by using an intelligent algorithm

Optik, Journal Year: 2023, Volume and Issue: 295, P. 171467 - 171467

Published: Oct. 18, 2023

Language: Английский

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Multi-strategy particle swarm optimization with adaptive forgetting for base station layout

Swarm and Evolutionary Computation, Journal Year: 2024, Volume and Issue: 91, P. 101737 - 101737

Published: Sept. 14, 2024

Language: Английский

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Enhanced artificial hummingbird algorithm for global optimization and engineering design problems

Advances in Engineering Software, Journal Year: 2024, Volume and Issue: 194, P. 103671 - 103671

Published: May 16, 2024

Language: Английский

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