On-line control strategy of fresh air to meet the requirement of IAQ in office buildings

Dasi, He; Fan, Xiaomeng; Daisheng, Chai

doi:10.1109/iciea.2010.5515109

Cited by 5 publications

(3 citation statements)

References 2 publications

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“…IAQ has emerged as a critical issue along developing building automation. On one hand, the living standards and awareness of health are rising among the occupants; on the other hand, IAQ is closely related to occupant well-being and working productivity [8,9]. A study conducted by the National Institute of Environmental Health Science (NIEHS) in 2015 has demonstrated the impact of IAQ on cognitive abilities [10].…”

Section: Introductionmentioning

confidence: 99%

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Distributed Control of Multizone HVAC Systems Considering Indoor Air Quality

Yong

Srinivasan

et al. 2021

IEEE Trans. Contr. Syst. Technol.

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with these challenges, this work develops a two-level distributed computation paradigm for HVAC systems based on problem structures. Specifically, the upper level control first calculates zone mass flow rates for maintaining comfortable zone temperature with minimal energy cost and then the lower level strategically regulates the computed zone mass flow rates as well as ventilation rate to satisfy IAQ while preserving the near energy saving performance of the upper level control. As both the upper and lower level calculation can be implemented in a distributed manner, the proposed method is scalable to large multi-zone deployment. The method's performance both in maintaining comfort (i.e., thermal comfort and IAQ) and energy cost saving is demonstrated via simulations in comparisons with the centralized method, the distributed token-based scheduling strategy and the demand controlled ventilation strategies.

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Section: Introductionmentioning

confidence: 99%

“…The third and fourth equality are derived from mz i (k) = m z, * i (k) and (13a). The inequality is deduced from constraint (8).…”

mentioning

confidence: 99%

Distributed Control of Multizone HVAC Systems Considering Indoor Air Quality

Yong

Srinivasan

et al. 2021

IEEE Trans. Contr. Syst. Technol.

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“…has been widely perceived for HVAC control, the indoor air quality (IAQ) (usually represented by CO2) has been seldom concerned yet. In such situations, the energy (cost) saving target may be achieved at the sacrifice of IAQ, which is closely related to human health and working productivity [6,7]. Along with the increasing awareness of human health and working productivity, it becomes imperative to jointly consider thermal comfort and IAQ while investigating HVAC control.…”

Section: Introductionmentioning

confidence: 99%

Distributed Control of Multi-zone HVAC Systems Considering Indoor Air Quality

Yong¹,

Srinivasan²,

Hu³

et al. 2020

Preprint

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This investigation studies a scalable control method for multi-zone heating, ventilation and air-conditioning (HVAC) systems with the objective to reduce energy cost while satisfying thermal comfort and indoor air quality (IAQ) (represented by CO2) simultaneously. This problem is challenging as we need to cope with the complex system behaviours, various couplings and the conflicting nature of objectives and constraints. To address the computational challenges, we propose a two-level distributed method (TLDM) by exploring the problem structures. Specifically, the upper level control (ULC) computes the optimal zone mass flow rates for maintaining zone thermal comfort, and the lower level control (LLC) regulates zone mass flow rates calculated from the upper level and the ventilation rate to achieve IAQ. As both the upper and lower level subproblems can be solved in a distributed manner w.r.t the zones, the proposed method is scalable and computationally efficient. The sub-optimality of the method is demonstrated through comparison with centralized method in a benchmark. Through comparison with the distributed-based scheduling strategy (DTBSS) for HVAC control [1] which hasn't been able to involve IAQ, we find that the proposed method can achieve both thermal comfort and IAQ with a slight increase of energy cost. Finally, we compare the proposed method with the commonly-used demand controlled ventilation strategies (DCVs) for IAQ management [2,3]. The numeric results imply an 8-10% energy cost saving for the proposed method.Note to Practitioners-Designing energy-efficient controllers for HVAC systems has stimulated extensive discussions. However, the status quo has mostly focused on thermal comfort requirements only. The indoor air quality (IAQ) (usually represented by CO2 level), which closely relates to human's health and working productivity, has been less aware of.This work is mainly motivated by our previous work [4] where we observed that the CO2 level may arise insufferably during the periods with high occupancy if only the temperature is cared while designing energy-efficient controllers for HVAC systems. Therefore, this paper aims to involve the requirements on IAQ into HVAC controller design. This task is usually computationally challenging as i) the necessities to cope with the complex thermal and CO2 dynamics simultaneously, which usually makes it intractable even to find a viable control both to

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Indoor air quality control for energy-efficient buildings using CO<inf>2</inf> predictive model

Wang

2012

IEEE 10th International Conference on Industrial Informatics

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On-line control strategy of fresh air to meet the requirement of IAQ in office buildings

Cited by 5 publications

References 2 publications

Distributed Control of Multizone HVAC Systems Considering Indoor Air Quality

Distributed Control of Multizone HVAC Systems Considering Indoor Air Quality

Distributed Control of Multi-zone HVAC Systems Considering Indoor Air Quality

Indoor air quality control for energy-efficient buildings using CO<inf>2</inf> predictive model

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