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IJSTR >> Volume 9 - Issue 10, October 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Smart Residential Buildings And Its Effect On Reducing Energy Consumption With The Approach Of Energy Consumption Optimization

[Full Text]

 

AUTHOR(S)

Mahdi Mohkam

 

KEYWORDS

residential building, cost reduction, smart management, photovoltaic unit, energy hub

 

ABSTRACT

Due to the scarcity of energy resources and the high cost of production and transmission, human beings are always looking to optimize energy consumption so that they can pay the lowest cost while using all the tools that need to consume energy. Consumption optimization is not only economically beneficial to the consumer but also beneficial to production units and the environment. Equipping residential buildings with smart equipment is a solution to this problem, the implementation of which can be costly at first, but in the long run can reduce many economic costs and environmental pollution. Smart control systems have high flexibility and can be easily adapted to different needs. The smart management system, using the latest technologies, is the percentage that creates ideal conditions, along with optimal energy consumption in buildings. Therefore, in this paper these systems examined, and we have tried to examine how to control and reduce electrical energy. In this regard, two optimization algorithms have been used to reduce energy costs, the results of which have been compared with each other. There is now a smart control tool that allows the consumer to schedule their home appliances on a daily or weekly basis while using them to pay less for non-peak times. Energy hub is a concept that has recently been introduced in energy systems integrated with multiple energy carriers. Specifically, it is the central energy hub in which all the activities related to a system, including production, storage and energy consumption in the application equipment are determined. In this paper, the YALMIP toolbox of MATLAB software is used in energy efficiency optimization with the aim of reducing the costs of fossil fuels by considering the production capacity of a photovoltaic production unit. With this toolbox, the right time to turn on each of the appliances is determined according to the practical limitations of each of them, and the most possible use is made of the photovoltaic unit that produces clean energy.

 

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