Biogas Utilization Model Using Linear Programming for Layer Farms.

Rashed, Ibrahim Gar Al-Alam; Abdel-Mageed, Hesham Nagy; Matouk, Rabab Ezzat

doi:10.21608/bfemu.2021.201585

Biogas Utilization Model Using Linear Programming for Layer Farms.

Document Type : Research Studies

Authors

¹ Mathematics and Engineering Physics Department, Faculty of Engineering, El-Mansoura University, Mansoura, Egypt.

² Agricultural Engineering Department, Faculty of Agriculture, Mansoura University.

³ Agricultural Engineering Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt.

10.21608/bfemu.2021.201585

Abstract

The gap in demand and supply of energy can be met by optimal allocation of available energy resources. For farmers throughout the world, energy inputs represent a major and rapidly increasing cost. The energy production planning problem starts with a specification of farm demand that is to be met by the energy production plan. In this paper the mismatch between the biogas potential contribution levels and optimal energy allocation for two end- uses has been deduced . As such energy planning problem is inherently optimization problem. The model has been optimized using LINGO software version 12.0. The optimization problem of biogas energy produced on-site has been executed from the economic point of view. The analysis assumed no thermal energy storage capacity is available to address generation/load mismatch. Based on the optimal solution biogas energy can be utilized to cover great portion of the annual electricity and heat demands by about 95% and 99%, respectively. This model is considered a powerful tool for analyzing competition between two routes of the rational use of " chemical potential energy" with independent demand, which can be used in a small-scale rural poultry farm. In addition, sensitivity analyses have been elaborates in order to show how the optimal solution would vary due to some key parameters including energy demands, conversion efficiencies and relevant costa. The results also, demonstrate that the optimized model has been found as the best choice for meeting the energy needs of the farm.

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