Optimal sizing of a stand-alone hybrid system for electric and thermal loads using excess energy and waste heat

Das, Barun; Hasan, Mahmudul

doi:10.1016/j.energy.2020.119036

Cited by 61 publications

(32 citation statements)

References 40 publications

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“…[10][11][12][13][14][15][16] Some other studies emphasized both electrical and thermal load consumption of hybrid energy systems. [17][18][19] In real-world applications, residential households require both electrical and thermal power. Hence, a hybrid energy system that serves thermal and electrical loads is essential for the residential sector.…”

Section: Introductionmentioning

confidence: 99%

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Techno‐economic optimization of a grid‐connected hybrid energy system considering electric and thermal load prediction

Qiu

Faraji

2021

Energy Science & Engineering

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Section: Introductionmentioning

confidence: 99%

“…In Ref. 19, a similar hybrid system is proposed to supply both electric and thermal load demands. The authors investigated two different energy management strategies available in the HOMER software, ie, load following and cycle charging.…”

Section: Introductionmentioning

confidence: 99%

Techno‐economic optimization of a grid‐connected hybrid energy system considering electric and thermal load prediction

Qiu

Faraji

2021

Energy Science & Engineering

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“…At present, different energy storage techniques are mainly used for RE‐based power generation schemes such as pump‐hydro storage (PHS), 26‐32 flywheel energy storage, 33‐37 compressed air energy storage (CAES), 38‐45 battery, 46‐54 capacitor, 55‐59 supercapacitor, 55,56,60‐62 superconducting magnetic energy storage, 63‐66 aquifer thermal energy storage, 67‐71 cryogenic energy storage, 72‐74 and high temperature thermal energy storage 75,76 . Battery storage has been extensively used in RE applications due to its compactness, easy installation, and worldwide availability.…”

Section: Introductionmentioning

confidence: 99%

“…At present, different energy storage techniques are mainly used for RE-based power generation schemes such as pump-hydro storage (PHS), [26][27][28][29][30][31][32] flywheel energy storage, [33][34][35][36][37] compressed air energy storage (CAES), [38][39][40][41][42][43][44][45] battery, [46][47][48][49][50][51][52][53][54] capacitor, [55][56][57][58][59] supercapacitor, 55,56,[60][61][62] superconducting magnetic energy storage, [63][64][65][66] aquifer thermal energy storage, [67][68][69][70][71] cryogenic energy storage, [72]…”

Section: Introductionmentioning

confidence: 99%

A review on pump‐hydro storage for renewable and hybrid energy systems applications

Das

Mustafi

et al. 2021

Energy Storage

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The integration of storage technologies into the hybrid energy system (HES) offers significant stability in delivering electricity to a remote community. In addition, the benefits of using storage devices for achieving high renewable energy (RE) contribution to the total energy supply are also paramount. The present study provides a detailed review on the utilization of pump‐hydro storage (PHS) related to the RE‐based stand‐alone and grid‐connected HESs. The PHS‐based HESs have been analyzed considering the technical details, including reliability, cost‐effectiveness, and environmental indicators. The optimization techniques are critically employed to the PHS‐based systems, including metaheuristics intelligent techniques, commercially available optimization and simulation tools, and recent advanced optimization tools. A comparative analysis of PHS integration to the stand‐alone and grid‐connected systems based on techno‐economic and environmental indicators over other storage technologies is also presented. The key technical and environmental challenges related to the PHS‐based HES are identified. Results from the recent research studies indicate that the PHS‐based HESs offer significant cost and environmental benefits over battery storage technologies. The study identifies that the particle swarm optimization is the mostly appreciated optimizing technique for cost‐effective energy supply and environmental aspects followed by hybrid optimization model for electric renewables and genetic algorithm.

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“…A photovoltaic (PV) system is required to convert solar energy into a useful source of energy (electricity) [9]. There are different configurations through which PV systems can operate, such as grid-connected, standalone, and hybrid systems [10]. In the grid-connected configuration, the PV system has a connection with an electric grid for generated energy utilization.…”

Section: Introductionmentioning

confidence: 99%

An Improved Particle Swarm Optimization with Chaotic Inertia Weight and Acceleration Coefficients for Optimal Extraction of PV Models Parameters

et al. 2021

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The efficiency of PV systems can be improved by accurate estimation of PV parameters. Parameter estimation of PV cells and modules is a challenging task as it requires accurate operation of PV cells and modules followed by an optimization tool that estimates their associated parameters. Mostly, population-based optimization tools are utilized for PV parameter estimation problems due to their computational intelligent behavior. However, most of them suffer from premature convergence problems, high computational burden, and often fall into local optimum solution. To mitigate these limitations, this paper presents an improved variant of particle swarm optimization (PSO) aiming to reduce shortcomings offered by conventional PSO for estimation of PV parameters. PSO is improved by introducing two strategies to control inertia weight and acceleration coefficients. At first, a sine chaotic inertia weight strategy is employed to attain an appropriate balance between local and global search. Afterward, a tangent chaotic strategy is utilized to guide acceleration coefficients in search of an optimal solution. The proposed algorithm is utilized to estimate the parameters of the PWP201 PV module, RTC France solar cell, and a JKM330P-72 PV module-based practical system. The obtained results indicate that the proposed technique avoids premature convergence and local optima stagnation of conventional PSO. Moreover, a comparison of obtained results with techniques available in the literature proves that the proposed methodology is an efficient, effective, and optimal tool to estimate PV modules and cells’ parameters.

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Optimal sizing of a stand-alone hybrid system for electric and thermal loads using excess energy and waste heat

Cited by 61 publications

References 40 publications

Techno‐economic optimization of a grid‐connected hybrid energy system considering electric and thermal load prediction

Techno‐economic optimization of a grid‐connected hybrid energy system considering electric and thermal load prediction

A review on pump‐hydro storage for renewable and hybrid energy systems applications

An Improved Particle Swarm Optimization with Chaotic Inertia Weight and Acceleration Coefficients for Optimal Extraction of PV Models Parameters

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