Energy efficient smart home heating system using renewable energy source with fuzzy control design

Q1 Decision Sciences
János Simon, Róbert x Róbert Sánta
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引用次数: 1

Abstract

This research article presents an energy- efficient smart home heating system that uses a renew-able energy source and incorporates fuzzy control design. The objective of the study is to design a heating system that optimizes energy consumption while providing a comfortable indoor temperature. The main methods used in the study include the integration of a renewable energy source, such as solar energy or geothermal energy, with a fuzzy control system that adjusts the heating power based on indoor and outdoor temperature, humidity, and occupancy. The main results of the study show that the proposed heating system can reduce energy consumption by up to 40% compared to conventional heating systems, while maintaining a comfortable indoor temperature. The fuzzy control system provides precise control of the heating power and ensures efficient use of the renewable energy source. The main conclusion of the article is that the proposed smart home heating system is a viable solution for reducing energy consumption and promoting a sustainable lifestyle, especially in areas with abundant renewable energy sources.
采用模糊控制设计的可再生能源节能智能家居供暖系统
本文提出了一种采用可再生能源并结合模糊控制设计的节能智能家庭供暖系统。该研究的目的是设计一个供暖系统,以优化能源消耗,同时提供舒适的室内温度。研究中使用的主要方法包括将可再生能源(如太阳能或地热能)与模糊控制系统相结合,该系统根据室内外温度、湿度和占用情况调节加热功率。研究的主要结果表明,与传统供暖系统相比,拟议的供暖系统可以减少高达40%的能源消耗,同时保持舒适的室内温度。模糊控制系统对加热功率进行精确控制,保证了可再生能源的有效利用。本文的主要结论是,提出的智能家居供暖系统是减少能源消耗和促进可持续生活方式的可行解决方案,特别是在可再生能源丰富的地区。
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来源期刊
Decision Making Applications in Management and Engineering
Decision Making Applications in Management and Engineering Decision Sciences-General Decision Sciences
CiteScore
14.40
自引率
0.00%
发文量
35
审稿时长
14 weeks
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