Enhancing smart building performance with waste heat recovery: Supply-side management, demand reduction, and peak shaving via advanced control systems

IF 6.6 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Energy and Buildings Pub Date : 2024-11-16 DOI:10.1016/j.enbuild.2024.115070
Hui Liu , Zhe Du , Tingting Xue , Tao Jiang
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Abstract

With the increasing use of smart building technologies in modern infrastructures, a growing focus is on developing intelligent energy systems. This study focuses on a crucial part of this transition by investigating the application of a rule-based control method to harness the heat from wastewater to warm the ventilation lines in residential buildings. This research intends to enhance the integration of smart buildings into modern energy systems by prioritizing optimal performance and using creative control methods, mainly robust rule-based control schemes, thereby addressing current gaps and contributing to overall improvement. The proposed system’s effectiveness is assessed and compared with a conventional model without the developed smart strategy from all facets. The system’s performance was assessed using hourly, monthly, seasonal, and annual metrics, with a detailed sensitivity analysis conducted to evaluate the proposed control strategy’s practicality. The findings reveal that the intelligent ventilation system achieves approximately 10% higher efficiency and conserves over 1.4 tonnes of CO2 emissions annually. Economically, the model demonstrates its feasibility through a marked reduction in heating costs, decreasing from 54.9 USD/MWh to 30.7 USD/MWh despite an initial investment of 29,032 USD. The results also show that the smart integration system maintains elevated supply air temperatures during colder months, enhancing thermal efficiency and reducing reliance on external heat sources. Economic analysis further identifies the energy wheel as the largest cost component, representing 50% of the total investment. Monthly variations in heat recovery from wastewater and production via the energy wheel suggest that integrating these elements through a dynamic control system leads to significant operational savings and reduces the need for local district heating. During peak demand periods, radiators serve as the primary heating source. Air-handling units provide necessary ventilation and supplemental heating, allowing for efficient energy distribution and management across all seasons.
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利用余热回收提高智能建筑性能:通过先进的控制系统进行供应方管理、减少需求和削峰填谷
随着智能建筑技术在现代基础设施中的应用越来越广泛,开发智能能源系统也日益受到关注。本研究重点关注这一转变的关键部分,研究如何应用基于规则的控制方法,利用废水中的热量来加热住宅楼的通风管道。本研究旨在通过优先考虑最佳性能和使用创造性的控制方法(主要是基于规则的稳健控制方案),加强智能建筑与现代能源系统的整合,从而解决当前的差距并促进整体改进。本研究从各个方面评估了拟议系统的有效性,并与未采用所开发智能策略的传统模型进行了比较。系统的性能评估采用了小时、月度、季节和年度指标,并进行了详细的敏感性分析,以评估所提出的控制策略的实用性。研究结果表明,智能通风系统的效率提高了约 10%,每年可减少超过 1.4 吨的二氧化碳排放量。在经济上,该模型通过显著降低供热成本证明了其可行性,尽管初始投资为 29,032 美元,但供热成本却从 54.9 美元/兆瓦时降至 30.7 美元/兆瓦时。结果还显示,智能集成系统在寒冷的月份能保持较高的供气温度,提高了热效率,减少了对外部热源的依赖。经济分析进一步确定,能源轮是最大的成本组成部分,占总投资的 50%。从废水中回收热量和通过能量轮生产热量的月度变化表明,通过动态控制系统整合这些元素可显著节省运营成本,并减少对当地区域供热的需求。在需求高峰期,散热器是主要的供热来源。空气处理单元提供必要的通风和补充供暖,从而实现四季高效的能源分配和管理。
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来源期刊
Energy and Buildings
Energy and Buildings 工程技术-工程:土木
CiteScore
12.70
自引率
11.90%
发文量
863
审稿时长
38 days
期刊介绍: An international journal devoted to investigations of energy use and efficiency in buildings Energy and Buildings is an international journal publishing articles with explicit links to energy use in buildings. The aim is to present new research results, and new proven practice aimed at reducing the energy needs of a building and improving indoor environment quality.
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