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A platform for research: civil engineering, architecture and urbanism
Economically efficient and environment friendly energy management in rural area
Energy management in rural area is a challenging issue for sustainable agriculture. A large number of livestock farms including dairy and poultry farms are the major cause of environmental pollution due to improper handling of animal and broiler wastes. The appropriate use of waste material not only reduces the environmental pollution but also serves as an additional source of electricity. In this article, efficient energy management model is developed to ensure uninterrupted supply of energy and also minimize the environmental impacts and cost of electricity to consumers by using multiobjective optimization. In the proposed scheme, electricity is supposed to be generated through biogas generation from waste materials of animals and broilers. In addition, electricity will also be reserved from solar, utility and diesel resources to ensure continuous supply of electricity to the consumers. Multiple sources of energy are being used to handle the intermittent nature of renewable resources and unpredicted electricity load shedding. The proposed multiobjective optimization is binary integer linear programming problem in which objective and constraints take binary and integer values. Branch and bound algorithm is incorporated to solve this multiobjective optimization problem.
Economically efficient and environment friendly energy management in rural area
Energy management in rural area is a challenging issue for sustainable agriculture. A large number of livestock farms including dairy and poultry farms are the major cause of environmental pollution due to improper handling of animal and broiler wastes. The appropriate use of waste material not only reduces the environmental pollution but also serves as an additional source of electricity. In this article, efficient energy management model is developed to ensure uninterrupted supply of energy and also minimize the environmental impacts and cost of electricity to consumers by using multiobjective optimization. In the proposed scheme, electricity is supposed to be generated through biogas generation from waste materials of animals and broilers. In addition, electricity will also be reserved from solar, utility and diesel resources to ensure continuous supply of electricity to the consumers. Multiple sources of energy are being used to handle the intermittent nature of renewable resources and unpredicted electricity load shedding. The proposed multiobjective optimization is binary integer linear programming problem in which objective and constraints take binary and integer values. Branch and bound algorithm is incorporated to solve this multiobjective optimization problem.
Economically efficient and environment friendly energy management in rural area
Naz, Muhammad Naveed (author) / Naeem, Muhammad (author) / Iqbal, Muhammad (author) / Imran, Muhammad (author)
2017-01-01
10 pages
Article (Journal)
Electronic Resource
English
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