Feasibility and sensitivity analysis of a self-sustainable hybrid system: A case study of a mountainous region in Bangladesh

Das, Tushar Kumar; Kundu, Diponkar

doi:10.1016/j.ecmx.2023.100411

Cited by 5 publications

(4 citation statements)

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“…For low solar irradiation levels as I < 200 W/m 2 , the PV module output power generation can be represented as (8) and the operating temperature is computed by…”

Section: Pv Modulementioning

confidence: 99%

“…This study mainly focused on rural power supply for residential areas and freshwater demand in the southern and northern regions of Iran. In another study [8], self sustainable hybrid system was designed for mountainous area of Bangladesh with energy sources like biomass, wind, hydro, and solar for feasibility and sensitivity analysis. Roy et al [9] outlined various categories of energy source combinations, modeling, power converter architecture, and optimization approaches for HRES.…”

Section: Introductionmentioning

confidence: 99%

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Source Forecasting and Economic/Environmental Assessment of Hybrid Renewable Energy System in North Eastern State of India

Komanapalli,

Mansani,

Hampannavar

et al. 2024

Preprint

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Clean and sustainable energy holds preeminent importance from a socio-environmental standpoint and can be achieved through the implementation of a Hybrid Renewable Energy System (HRES). As well as ensuring the stable and reliable operation of power systems amidst the increasing integration of renewable energy sources, precise source forecasting becomes indispensable. Thus, this paper presents a pioneering HRES design incorporating Photovoltaic (PV), Wind Turbine (WT), and Biogas Generator (Bio) technologies, wherein animal manure is utilized as biomass for the sustainable valorization of animal waste. The preliminary objective of this study is to address the prevailing gaps to attain sustainable energy production that is both cost-optimal and technically efficient. Consequently, this paper investigates source forecasting through time series modeling, and assesses the techno-environmental and economic viability of HRES (both off-grid and on-grid) within the northeastern state of India, specifically focusing on the case study of the Cachar district in Assam state. Moreover, real data analysis is conducted to model and optimize the hybrid system. The findings reveal promising outcomes in terms of cost, emissions, and electrical energy potential, which are presented and comprehensively discussed. Furthermore, a sensitivity analysis is performed to assess the system's robustness. The analyzed results are compared and validated with existing literature including different energy economics with optimum configurations. Finally, this study endeavors to project a future power system for one of the prominent regions in Assam, an Indian state.

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“…For low solar irradiation levels as I < 200 W/m 2 , the PV module output power generation can be represented as (8) and the operating temperature is computed by…”

Section: Pv Modulementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Source Forecasting and Economic/Environmental Assessment of Hybrid Renewable Energy System in North Eastern State of India

Komanapalli,

Mansani,

Hampannavar

et al. 2024

Preprint

View full text Add to dashboard Cite

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“…Next, the relationship between the incoming flow field and the turbine power fluctuations was explored using the particle image velocimetry technique. It demonstrates that all incoming aerodynamic characteristics are critical for wind turbine performance [19]. Hence, from the literature review, most research papers identified factors such as confirming local incoming conditions, wind turbine geometry, and the terrain that affected turbine operation and performance.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Wind Turbine Blade Preventive Maintenance Procedure through Computational Fluid Dynamics-Based Prediction of Wall Shear Stress

Palasai,

Plengsa-Ard,

Kaewbumrung

2024

Sustainability

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Wind turbine blades are essential parts of wind energy systems and are frequently exposed to harsh environmental elements, such as strong winds, turbulence, and corrosive atmospheric elements. Over time, these circumstances may result in serious harm to blades, such as delamination and erosion, which may negatively affect the wind turbine’s functionality and durability. Accurate prediction of various types of damage is crucial to improve the toughness and lifespan of wind turbine blades and to maximize the overall effectiveness of wind energy systems. This article presents a novel computational fluid dynamics (CFDs)-based method for analyzing the distribution of wall shear stress on turbine blades, aimed at publicizing the yearly maintenance procedure. The investigation results from the CFDs, when compared with the current situation in a wind turbine farm in Thailand, confirmed that our wall shear stress modeling accurately predicted wind turbine damage. A maximum wall shear stress level higher than 5.00 Pa in the case of PA 90°, incoming air velocity 10.00 m/s, and 15 rpm was the main contribution to presenting the erosion and delamination from current drone inspection in wind turbine farms. In conclusion, these findings demonstrated the potential of using CFDs to predict wind turbine blade delamination and erosion, thereby significantly contributing to the development of specific and accurate yearly preventive maintenance. The proposed CFDs-based approach should serve as a sustainability tool for local human development, benefiting wind turbine engineers and operating technicians by providing them with a deeper understanding of the local flow conditions and wall shear stress distribution along wind turbine blades. This enables them to make informed decisions regarding blade design and maintenance.

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“…While biofuels are attractive as low-carbon alternatives, those derived from food crops may conflict with petroleum production. Investigating the expansion of biofuels while addressing food crop rivalry with second-generation biomass biofuels [5][6][7]. Also analyses how biotechnology could transform the global agricultural industry, improving crop productivity and balancing biofuel and food production.…”

Section: Introductionmentioning

confidence: 99%

Impact of Ron on a Heavily Downsized Boosted Si Engine Using 2nd Generation Biofuel – a Comprehensive Experimental Analysis

MOHAMED,

Biswal,

Wang

et al. 2023

Preprint

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Feasibility and sensitivity analysis of a self-sustainable hybrid system: A case study of a mountainous region in Bangladesh

Cited by 5 publications

References 50 publications

Source Forecasting and Economic/Environmental Assessment of Hybrid Renewable Energy System in North Eastern State of India

Source Forecasting and Economic/Environmental Assessment of Hybrid Renewable Energy System in North Eastern State of India

Enhancing Wind Turbine Blade Preventive Maintenance Procedure through Computational Fluid Dynamics-Based Prediction of Wall Shear Stress

Impact of Ron on a Heavily Downsized Boosted Si Engine Using 2nd Generation Biofuel – a Comprehensive Experimental Analysis

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