Placement Optimization for Renewable Energy Sources: Ontology, Tools, and Wake Models

Khan, Muhammad Yousaf; Ali, Mudassar; Qaisar, Saad; Naeem, Muhammad; Chrysostomou, Chrysostomos; Iqbal, Muhammad

doi:10.1109/access.2020.2984901

Cited by 10 publications

(4 citation statements)

References 113 publications

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“…It goes in line with the research by [28], emphasizing the need to methodically analyze solar array sizing, pump and turbine capacities, and reservoir volume. The locational analysis, as [14] concurs with [20] as well as [19], is another critical facet of optimization, where the placement of solar arrays will not only seek maximal solar irradiance but also align with the geographical prerequisites for effective PHES deployment.…”

Section: Literature Reviewmentioning

confidence: 99%

Design Optimization of a Hybrid Solar PV Panel and Pumped Hydro Energy Supply System

Abdul-Azeez Momodu and Ameze Big-Alabo

2024

JCMPS

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Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.

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Section: Literature Reviewmentioning

confidence: 99%

Design Optimization of a Hybrid Solar PV Panel and Pumped Hydro Energy Supply System

Abdul-Azeez Momodu and Ameze Big-Alabo

2024

JCMPS

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“…Ontologies can be used for multimedia data representation [16], Gastroenterology and other medical elds which include infectious disease ontologies [17,18], transaction ontologies based on smart contracts [19], and health record management ontologies [20], which assist in reducing system dependency on external sources, thereby improving their query performance. Similarly, the work de ned in [21,22,23,24] also proposes ontology models for renewable energy sources, keyword-based search applications, eLearning applications, and internet of medical things (IoMT) applications, where high e ciency of system design with minimum system complexity is needed. E cient models are also proposed in [25,26,27,28] which discuss use of secure blockchains for real-time scenarios under different applications.…”

Section: Literature Reviewmentioning

confidence: 99%

Design of a blockchain-based secure and efficient ontology generation model for multiple data genres using augmented stratification in the healthcare industry

Purbey

Khandelwal

Choudhary³

2023

SIViP

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Ontology generation is a process of relationship analysis, and representation for multiple data categories using automatic or semi-automatic approaches. This process requires a domain knowledgebase that describes given input data using entity-to-entity relations. A wide variety of approaches are proposed for this purpose, and each of them processes & converts input data using multiple relationship evaluation stages. These stages include data-preprocessing, correlation analysis, entity mapping, and ontology generation. A very few of these approaches are dataset independent, and most of them do not implement security measures during ontology generation, which limits their security, scalability & deployment capabilities during real-time implementation. Thus, in this text a blockchain based secure & e cient ontology generation model for multiple data genres using augmented strati cation (BOGMAS) is described. The BOGMAS model uses a semi-supervised approach for ontology generation from almost any structured or unstructured dataset. It uses a variance-based method (VBM) for reduction of redundant numerical features from the dataset, while textual features are converted to numerical values via standard word2vec model, and then processed using VBM. This model uses a combination of linear support vector machine (LSVM), and extra trees (ET) strati ers for variance estimation, which makes the model highly e cient, and reduces redundant features from the output ontology. These feature sets & their variances are given to a correlation engine for relationship estimation, and ontology generation.Each ontology record is secured using a mutable proof-of-work (PoW) based blockchain model, which assists in imbibing transparency, traceability, and distributed peer-to-peer processing capabilities. The generated ontology is represented using an incremental OWL (W3C Web Ontology Language) format, which assists in dynamically sizing the ontology depending upon incoming data. Performance of the proposed BOGMAS model is evaluated in terms of precision & recall of representation, memory usage, computational complexity, and accuracy of attack detection. It is observed that the proposed model is highly e cient in terms of precision, recall & accuracy performance, but has incrementally higher computational complexity & delay of ontology formation when compared with existing approaches. Due to this incremental increase in delay, the proposed model is observed to be applicable for a wide variety of real-time scenarios, which include but are not limited to, medical ontology generation, sports ontology generation, and internet of things (IoT) ontology generation with high security levels.

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“…The detailed description on AEP is given in [15,16]. To achieve this objective, researchers in [17,18] have described and discussed the techniques for optimal deployment of wind turbine generators in WFs. The applications of various optimisation techniques including Pseudo number random generation and binary artificial algae algorithm (BAAA) are discussed and explained mathematically.…”

Section: Geometric Programmentioning

confidence: 99%

Layout optimisation algorithms and reliability assessment of wind farm for microgrid integration: A comprehensive review

Kumar

Saket

Dheer

et al. 2021

IET Renewable Power Gen

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The paper represents a comprehensive review of the wind farm layout and reliability assessment of the wind farm integrated electrical power system. The authors have done a review on the proliferation of renewable energy which raises the uncertainties in the electrical power system. The uncertainties including wind speed and wake effect are important to deal with when an isolated microgrid is considered. The scenario becomes vigilant when the wind farms are integrated with the main grid. Due to uncertainties, the study of reliability evaluation of a wind integrated power system would become significant to analyse the electrical power system behaviour effectively. So, the paper discusses the layout optimisation methods of wind turbines considering the uncertainty parameters, mainly the wake effect. In this regard, the different wake models and optimisation methods based on a single-objective and multi-objective functions are reviewed in detail with the proper comparisons. The paper serves as a better illustration of the competency of these optimisation methods on the optimal wind turbine location on a wind farm. Furthermore, the paper extends the view on the reliability and cost assessment, and reliability improvement techniques of the wind integrated power system. This article provides comprehensive information, yields an attractive and subsequent tool for research requirements for the researchers to design the wind farm layout, and assessed the reliability of a wind integrated power system.

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Placement Optimization for Renewable Energy Sources: Ontology, Tools, and Wake Models

Cited by 10 publications

References 113 publications

Design Optimization of a Hybrid Solar PV Panel and Pumped Hydro Energy Supply System

Design Optimization of a Hybrid Solar PV Panel and Pumped Hydro Energy Supply System

Design of a blockchain-based secure and efficient ontology generation model for multiple data genres using augmented stratification in the healthcare industry

Layout optimisation algorithms and reliability assessment of wind farm for microgrid integration: A comprehensive review

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