Economic Feasibility Analysis of a Designed Poultry Farming Zone with Renewable Energy Resources in Bangladesh

Zeyad, Mohammad; Ahmed, S.M. Masum; Hasan, Sayeed; Hossain, Eftakhar; Anubhove, Md. Sadik Tasrif

doi:10.1109/gec55014.2022.9986830

Cited by 5 publications

(4 citation statements)

References 26 publications

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“…Where BLC represents the Building Load Coefficient of the building and is calculated from Equation (11): (11) According to the calculation of heat loss from Equation (10) and the calculation of thermal gain from Equation (3), the required heat load can be calculated from Equation (12):…”

Section: Mathematical Description and Solution Methodsmentioning

confidence: 99%

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Reducing Energy Consumption in a Poultry Farm by Designing and Optimizing the Solar Heating/Photovoltaic System

et al. 2023

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A solar heating system is designed to reduce energy consumption in a poultry farm. According to the physics and conditions of the indoor environment of the poultry building and the effect of the poultry weather conditions, the amount of 1.37 × 108 kJ/h during the year energy is required for heating. Then, by using double-glazed windows and insulation for the exterior walls of the building in the building architecture section, the amount of energy consumption is drastically reduced, and the required annual gas consumption is equal to 11,833 m3. The surface required for the collector is recommended to supply 50% of the energy from the sun with the rest from the hybrid system. The results showed that 26 m2 of a solar collector with an optimal slope of 45 degrees, and a tank volume of 440 L and a pump discharge of 1700 kg/h are required to provide 100% of energy. To receive the maximum amount of solar energy (maximum solar fraction (SF)), a collector surface equal to 30 m2 is required. However, when the economic point of view is considered, the collector surface equivalent to 26 m2 is recommended. To establish a balance, that is, 50% of the energy from the auxiliary system and the rest from the solar system, between the use of solar energy and the use of the auxiliary system, a collector area of 16 m2 is needed. Based on this, 60 photovoltaic modules, which are 10 cells in series in 6 parallel circuits, is the most optimal mode.

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Section: Mathematical Description and Solution Methodsmentioning

confidence: 99%

“…Zeyad et al [10] investigated the economic feasibility analysis of a designed poultry farming zone with renewable energy resources in Bangladesh. The results showed that from the load profile, the peak load was found 26.12 kW, and the average daily consumption was found 226.36 kWh.…”

Section: Introductionmentioning

confidence: 99%

Reducing Energy Consumption in a Poultry Farm by Designing and Optimizing the Solar Heating/Photovoltaic System

et al. 2023

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“…The relationship between GHI, DNI, and DHI is represented by equation (6). Estimating diffuse radiation from the ERBS model can be done using equation (7) [23].…”

Section: Solar Irradiationmentioning

confidence: 99%

“…Homer provides a variety of renewable components and resources for designing and simulating hybrid systems [3]. In [4], [5], feasibility analysis for residential loads was performed using Homer, and a microgrid was simulated for various agricultural loads in [6], [7]. A microgrid for a remote school was also modeled in [8].…”

Section: Introductionmentioning

confidence: 99%

Modeling an Agricultural Microgrid using pvlib-python: A Case Study in Bangladesh

Hasan,

Hazari,

Jahan

et al. 2023

AJSE

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The article focuses on sizing and designing microgrids with pvlib-python and the Python programming language. Pvlib-python is a free and open-source program for simulating solar photovoltaic (PV) systems. For the design, an existing case study of an agricultural microgrid comprised of PV arrays, batteries, and a biogas-based generator in an off-grid configuration was explored. The solar resources and PV system were modeled using pvlib-python, while the rest of the microgrid was built and simulated using a custom dispatch algorithm written in Python. The study also discussed an in-depth strategy for modeling PV utilizing various data sources using the included modules and functions. A similarly specified microgrid was also modeled in Homer Pro software and the results from the designed microgrid in Python were compared. The hourly distribution of data for both tools exhibits a noticeable deviation. The daily and annual distribution of most of the parameters, on the other hand, produce comparable results.

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An iterative comprehensive evaluation of pretreatment methods, comparative biomass analysis, and sustainability assessment for optimizing anaerobic biogas production from lignocellulosic biomass

Miskin,

Hinge

2024

Innov. Infrastruct. Solut.

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Economic Feasibility Analysis of a Designed Poultry Farming Zone with Renewable Energy Resources in Bangladesh

Cited by 5 publications

References 26 publications

Reducing Energy Consumption in a Poultry Farm by Designing and Optimizing the Solar Heating/Photovoltaic System

Reducing Energy Consumption in a Poultry Farm by Designing and Optimizing the Solar Heating/Photovoltaic System

Modeling an Agricultural Microgrid using pvlib-python: A Case Study in Bangladesh

An iterative comprehensive evaluation of pretreatment methods, comparative biomass analysis, and sustainability assessment for optimizing anaerobic biogas production from lignocellulosic biomass

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