首页> 外文OA文献 >An Efficient Approach for Energy Consumption Optimization and Management in Residential Building Using Artificial Bee Colony and Fuzzy Logic
【2h】

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

机译:使用人造蜂殖民地和模糊逻辑的住宅建筑能耗优化和管理的有效方法

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

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 algorithm is 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:根据乘员要求和舒适性的住宅建筑中的能源管理是至关重要的。文献中有许多提案解决了用户的舒适性和能耗(管理)的问题,以考虑不同的参数。在本文中,我们利用人造蜜蜂菌落(ABC)优化算法,用于同时最大化用户舒适度并最大限度地减少能量消耗。我们提出了一个完整的用户友好和节能模型,具有不同的组件。用户设置参数和环境参数是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异是模糊控制器的输入,这使得所需的能量为输出。优化算法的目的是最大化舒适指数并最小化用户设定参数和环境参数之间的误差差,这最终降低了功耗。实验结果表明,该模型在实现高舒适指数以及最小化能耗方面是有效的。

著录项

  • 作者

    Fazli Wahid; Do Hyeun Kim;

  • 作者单位
  • 年度 2016
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号