Mitigation Strategies for Overheating and High Carbon Dioxide Concentration within Institutional Buildings: A Case Study in Toronto, Canada

Tam, Claire; Zhao, Yu‐Qing; Liao, Zaiyi; Zhao, Lun

doi:10.3390/buildings10070124

Cited by 10 publications

(2 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In paper [45], the focus is on air exchange in the summer when considering energy savings. Posts [46][47][48][49] are devoted to the issue of air exchange in various types of buildings, the increase in CO 2 and its impact on users.…”

Section: Measurement Of Carbon Dioxide Concentration Valuesmentioning

confidence: 99%

Quantification of Air Change Rate by Selected Methods in a Typical Apartment Building

2021

View full text Add to dashboard Cite

An important parameter that affects indoor climate of buildings and also ventilation heat losses and gains is the speed of air change between the outdoor environment and the interior of buildings. Indoor air quality is therefore significantly associated with ventilation. Quantification of air change rate is complicated, because it is impacted by many parameters, the most variable of which is air flow. This study focuses on the determination and comparison of air change rate values in two methods by quantification of the aerodynamic coefficient Cp = Cpe − Cpi, so-called “aerodynamic quantification of the building” and the methodology based on “experimental measurements of carbon dioxide”. The study describes and takes into account the effect of wind, building parameters and air permeability for the building using “aerodynamic quantification of the building”. The paper compares these calculated results with the values obtained from experimental measurements method of carbon dioxide in a selected reference room in apartment building and evaluates the accuracy of the prediction of the air exchange rate obtained by these methods. At higher wind speeds the values of air change rate with considering the effect of openings are closer to the values obtained based on experimental measurements of carbon dioxide and the difference between the values without considering the effect of openings increases significantly.

show abstract

Section: Measurement Of Carbon Dioxide Concentration Valuesmentioning

confidence: 99%

Quantification of Air Change Rate by Selected Methods in a Typical Apartment Building

2021

View full text Add to dashboard Cite

show abstract

“…Data-driven models that are based on real systems data are proven to be helpful tools in understanding the performance of HVAC systems and explain the relationship of the system components [15,25]. Moreover, those data-based modeling techniques are aimed towards improving the indoor air quality of the building (IAQ) as it is causing concern in the overall human health and comfort levels [26,27]. Air handling units (AHU) are nonlinear systems, and it makes it hard to maintain thermal comfort.…”

Section: Research Backgroundmentioning

confidence: 99%

Optimization-Based Data-Enabled Modeling Technique for HVAC Systems Components

2020

View full text Add to dashboard Cite

Most of the energy consumed by the residential and commercial buildings in the U.S. is dedicated to space cooling and heating systems, according to the U.S. Energy Information Administration. Therefore, the need for better operation mechanisms of those existing systems become more crucial. The most vital factor for that is the need for accurate models that can accurately predict the system component performance. Therefore, this paper’s primary goal is to develop a new accurate data-driven modeling and optimization technique that can accurately predict the performance of the selected system components. Several data-enabled modeling techniques such as artificial neural networks (ANN), support vector machine (SVM), and aggregated bootstrapping (BSA) are investigated, and model improvements through model structure optimization proposed. The optimization algorithm will determine the optimal model structures and automate the process of the parametric study. The optimization problem is solved using a genetic algorithm (GA) to reduce the error between the simulated and actual data for the testing period. The models predicted the performance of the chilled water variable air volume (VAV) system’s main components of cooling coil and fan power as a function of multiple inputs. Additionally, the packaged DX system compressor modeled, and the compressor power was predicted. The testing results held a low coefficient of variation (CV%) values of 1.22% for the cooling coil, and for the fan model, it was found to be 9.04%. The testing results showed that the proposed modeling and optimization technique could accurately predict the system components’ performance.

show abstract

Building energy simulation and its application for building performance optimization: A review of methods, tools, and case studies

Pan

Zhu

Liu

et al. 2023

Advances in Applied Energy

View full text Add to dashboard Cite

Mitigation Strategies for Overheating and High Carbon Dioxide Concentration within Institutional Buildings: A Case Study in Toronto, Canada

Cited by 10 publications

References 35 publications

Quantification of Air Change Rate by Selected Methods in a Typical Apartment Building

Quantification of Air Change Rate by Selected Methods in a Typical Apartment Building

Optimization-Based Data-Enabled Modeling Technique for HVAC Systems Components

Building energy simulation and its application for building performance optimization: A review of methods, tools, and case studies

Contact Info

Product

Resources

About