Modelling and mitigating lifetime impact of building demand responsive control of heating, ventilation and air-conditioning systems

IF 2.2 4区工程技术 Q2 CONSTRUCTION & BUILDING TECHNOLOGY

Journal of Building Performance Simulation Pub Date : 2022-08-04 DOI:10.1080/19401493.2022.2094466

Jerson Sanchez, Zhiming Jiang, Jie Cai

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引用次数: 1

Abstract

This paper presents a modelling methodology to characterize heating, ventilation and air-conditioning (HVAC) equipment lifetime impact of load controls and an aging-aware demand responsive control strategy for single-stage HVAC systems to strike a balance between the electric utility and HVAC life-cycle costs. To assess the control performance and evaluate potential trade-offs between energy consumption, utility cost and equipment lifetime impact, whole-month simulation tests for a single-zone office building have been conducted for the proposed aging-aware control strategy along with two benchmarking strategies – energy minimizing and utility cost minimizing controllers. Test results show that the aging-aware demand response strategy could result in reductions of HVAC equipment aging effect by 18.8% to 39.1% compared to the utility-priority controller. The total building operation cost, with the electricity utility and HVAC life-cycle costs combined, could be reduced by up to 13.2% compared to the utility minimizing strategy and by up to 16.1% compared to the energy minimization baseline.

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模拟及纾缓楼宇需求因应式暖气、通风及空调系统的使用寿命影响

本文提出了一种表征负荷控制对暖通空调(HVAC)设备寿命影响的建模方法，以及单级暖通空调系统的老化感知需求响应控制策略，以在电力公用事业和暖通空调寿命周期成本之间取得平衡。为了评估控制性能并评估能源消耗、公用事业成本和设备寿命影响之间的潜在权衡，对所提出的老化感知控制策略以及两种基准策略(能源最小化和公用事业成本最小化控制器)进行了单区办公楼的整个月模拟测试。试验结果表明，与公用事业优先控制器相比，采用老化感知需求响应策略可使暖通空调设备老化效应降低18.8% ~ 39.1%。与公用事业最小化策略相比，总建筑运营成本(包括电力公用事业和暖通空调生命周期成本)最多可降低13.2%，与能源最小化基线相比可降低16.1%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Building Performance Simulation CONSTRUCTION & BUILDING TECHNOLOGY-

CiteScore

5.50

自引率

12.00%

发文量

审稿时长

12 months

期刊介绍： The Journal of Building Performance Simulation (JBPS) aims to make a substantial and lasting contribution to the international building community by supporting our authors and the high-quality, original research they submit. The journal also offers a forum for original review papers and researched case studies We welcome building performance simulation contributions that explore the following topics related to buildings and communities: -Theoretical aspects related to modelling and simulating the physical processes (thermal, air flow, moisture, lighting, acoustics). -Theoretical aspects related to modelling and simulating conventional and innovative energy conversion, storage, distribution, and control systems. -Theoretical aspects related to occupants, weather data, and other boundary conditions. -Methods and algorithms for optimizing the performance of buildings and communities and the systems which service them, including interaction with the electrical grid. -Uncertainty, sensitivity analysis, and calibration. -Methods and algorithms for validating models and for verifying solution methods and tools. -Development and validation of controls-oriented models that are appropriate for model predictive control and/or automated fault detection and diagnostics. -Techniques for educating and training tool users. -Software development techniques and interoperability issues with direct applicability to building performance simulation. -Case studies involving the application of building performance simulation for any stage of the design, construction, commissioning, operation, or management of buildings and the systems which service them are welcomed if they include validation or aspects that make a novel contribution to the knowledge base.

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