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An Efficient Approach for Energy Consumption Optimization and Management in Residential Building Using Artificial Bee Colony and Fuzzy Logic

机译:利用人工蜂群和模糊逻辑的住宅建筑能耗优化管理的有效方法

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摘要

The energy management in residential buildings according to occupant's requirement and comfort is of vital importance. There are many proposals in the literature addressing the issue of user's comfort and energy consumption (management) with keeping different parameters in consideration. In this paper, we have utilized artificial bee colony (ABC) optimization algorithm for maximizing user comfort and minimizing energy consumption simultaneously. We propose a complete user friendly and energy efficient model with different components. The user set parameters and the environmental parameters are inputs of the ABC, and the optimized parameters are the output of the ABC. The error differences between the environmental parameters and the ABC optimized parameters are inputs of fuzzy controllers, which give the required energy as the outputs. The purpose of the optimization algorithmis to maximize the comfort index and minimize the error difference between the user set parameters and the environmental parameters, which ultimately decreases the power consumption. The experimental results show that the proposed model is efficient in achieving high comfort index along with minimized energy consumption.
机译:根据居住者的需求和舒适性对住宅建筑进行能源管理至关重要。文献中有许多建议在考虑不同参数的情况下解决用户的舒适度和能量消耗(管理)的问题。在本文中,我们利用人工蜂群(ABC)优化算法来最大程度地提高用户舒适度并同时最小化能耗。我们提出了一个具有不同组件的完整的用户友好型和节能模型。用户设置的参数和环境参数是ABC的输入,优化的参数是ABC的输出。环境参数和ABC优化参数之间的误差差是模糊控制器的输入,该模糊控制器给出所需的能量作为输出。优化算法的目的是使舒适度指数最大化,并使用户设置参数与环境参数之间的误差差异最小,从而最终降低功耗。实验结果表明,所提出的模型能够有效地实现高舒适度指标,同时将能耗降至最低。

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  • 来源
    《Mathematical Problems in Engineering》 |2016年第6期|9104735.1-9104735.13|共13页
  • 作者

    Wahid Fazli; Kim Do Hyeun;

  • 作者单位

    Jeju Natl Univ, Dept Comp Engn, Jeju 690756, South Korea;

    Jeju Natl Univ, Dept Comp Engn, Jeju 690756, South Korea;

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  • 正文语种 eng
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