Risk-involved dominant optimization of multi-energy CCHP-P2G-based microgrids integrated with a variety of storage technologies

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 80, P. 110260 - 110260

Published: Jan. 4, 2024

Language: Английский

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GIS-based multi-influencing factor (MIF) application for optimal site selection of solar photovoltaic power plant in Nashik, India

Environmental Sciences Europe, Journal Year: 2024, Volume and Issue: 36(1)

Published: Jan. 6, 2024

Abstract The significant natural energy sources for reducing the global usage of fossil fuels are renewable (RE) sources. Solar is a crucial and reliable RE source. Site selection solar photovoltaic (PV) farms issue in terms spatial planning policies. This study adopts Geographic Information System (GIS)-based Multi-Influencing Factor (MIF) technique to enhance precision identifying delineating optimal locations PV farms. choice GIS MIF motivated by their ability integrate diverse influencing factors, facilitating holistic analysis data. selected factors include radiation, wind speed, Land Surface Temperature (LST), relative humidity, vegetation, elevation, land use, Euclidean distance from roads, aspect. sites power plant delineated revealed that ‘very low’ suitability site covering 4.866% area, ‘low’ 13.190%, ‘moderate’ 31.640%, ‘good’ 32.347%, good’ encompassing 17.957% area. sensitivity results show elevation most effective on accuracy prediction. validation shows prediction using area was 81.80%. integration not only enhances assessment but also provides practical implementation strategy. research offers valuable insights policymakers, urban planners, other stakeholders seeking identify develop respective regions.

Language: Английский

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Photovoltaic thermal solar system in presence of nanofluid cooling analyzing environmental parameter in existence of TEG module

Journal of Thermal Analysis and Calorimetry, Journal Year: 2024, Volume and Issue: 149(6), P. 2739 - 2747

Published: Jan. 17, 2024

Language: Английский

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Thermoeconomic assessment of an innovative combined cooling, heating, and power system based on biomass combustion, TCO2 cycle, absorption chiller, and desalination

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: 184, P. 151 - 169

Published: Jan. 24, 2024

Language: Английский

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Energy storage/power/heating production using compressed air energy storage integrated with solid oxide fuel cell

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 83, P. 110718 - 110718

Published: Feb. 16, 2024

Language: Английский

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On the utilization of artificial intelligence for studying and multi-objective optimizing a compressed air energy storage integrated energy system

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 84, P. 110839 - 110839

Published: Feb. 16, 2024

Language: Английский

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Structural and thermal investigation of lignocellulosic biomass conversion for enhancing sustainable imperative in progressive organic refinery paradigm for waste-to-energy applications

Environmental Research, Journal Year: 2024, Volume and Issue: 246, P. 118129 - 118129

Published: Jan. 9, 2024

Language: Английский

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Solving the fouling mechanisms in composite membranes for water purification: An advance approach

Environmental Research, Journal Year: 2024, Volume and Issue: 250, P. 118487 - 118487

Published: Feb. 14, 2024

Language: Английский

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Super‐evolutionary mechanism and Nelder‐Mead simplex enhanced salp swarm algorithm for photovoltaic model parameter estimation

IET Renewable Power Generation, Journal Year: 2024, Volume and Issue: 18(14), P. 2209 - 2237

Published: Feb. 24, 2024

Abstract In the pursuit of enhancing efficiency solar cells, accurate estimation unspecified parameters in photovoltaic (PV) cell model is imperative. An advanced salp swarm algorithm called Super‐Evolutionary Nelder‐Mead Salp Swarm Algorithm (SENMSSA) proposed to achieve this objective. The SENMSSA addresses limitations SSA by incorporating a super‐evolutionary mechanism based on Gaussian‐Cauchy mutation and vertical horizontal crossover mechanism. This enhances both global optimization capabilities local search performance convergence speed algorithm. It enables secondary refinement optimum, unlocking untapped potential solution space near optimum elevating algorithm's precision exploitation higher levels. simplex method further introduced enhance accuracy. versatile that improves iteratively adjusting geometric shape (simplex) points. operates without needing derivatives, making it suitable for non‐smooth or complex objective functions. To assess efficacy SENMSSA, comparative analysis conducted against other available algorithms, namely SSA, IWOA, SCADE, LWOA, CBA, RCBA, using CEC2014 benchmark function set. Subsequently, was employed determine unknown PV under fixed conditions three different diode models. Additionally, utilized estimate commercially models (ST40, SM55, KC200GT) varying conditions. experimental results indicate study displays remarkably competitive all test cases compared algorithms. As such, we consider constitutes reliable efficient challenge parameter estimation.

Language: Английский

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Comprehensive analysis and optimization of a low-carbon multi-generation system driven by municipal solid waste and solar thermal energy integrated with a microbial fuel cell

International Journal of Low-Carbon Technologies, Journal Year: 2024, Volume and Issue: 19, P. 455 - 467

Published: Jan. 1, 2024

Abstract In this article, a novel multi-generation plant is addressed and assessed from the energy, exergy, exergoenvironmental exergoeconomic points of view. The composed two main units: one unit for energy production another carbon capture methanol synthesis. Biomass fuel, solar seawater are nutrients in plant. Steam, Brayton, organic Rankine Kalina cycles have been employed to generate electricity. A linear Fresnel collector-driven farm considered as an auxiliary heat source. addition, integrated desalination based on multi-effect unit, microbial fuel cell reverse osmosis has installed proposed structure offered designed under new configuration layout that had not reported publications. From outcomes, can produce 69.6 MW net electricity, 0.53 kg/s methanol, 0.81 oxygen gas, 73.8 fresh water ~0.015 hydrogen gas. Under such performance, be 51.72 27.5% efficient view respectively. Further, total cost rate environmental impact ~3378 US$/h 294.1 mPts/s, comparative analysis developed exhibit superiority planned five-objective optimization also achieve optimum design data outcomes

Language: Английский

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