Papers by Fariborz Haghighat
Sustainable Cities and Society, Oct 1, 2019
Highlights: Uncertainty about impacts of occupant behavior on various spatial scales and tempor... more Highlights: Uncertainty about impacts of occupant behavior on various spatial scales and temporal granularities. Modeling methods for occupant behavior and respective selection issues. Model input and output selection for occupant behavior model improvement. Research gaps and future directions for occupant behavior modeling.
E3S Web of Conferences
Photocatalytic oxidation (PCO) is an innovative method of removing volatile organic compounds (VO... more Photocatalytic oxidation (PCO) is an innovative method of removing volatile organic compounds (VOCs) from indoor air. PCO technology employs a semiconductor (such as TiO2) and ultraviolet light to decompose VOCs via successive oxidation processes and creates CO2 and H2O as the ultimate products of complete mineralization. The greatest drawback of this technology is, however, the production of hazardous by-products. The possible health risk posed by hazardous by-products inhibits the commercial adoption of PCO-based air purifiers in the indoor environment. Modeling is a powerful tool to address the chemical interaction and mass transfer phenomenon in the PCO reactor. This study presents the modeling of a ternary mixture of VOCs and generated by-products using a proposed degradation reaction pathway. A one-dimensional mathematical model by considering the axially dispersed plug flow and Langmuir-Hinshelwood (L-H) based reaction rate as well as linear source spherical emission model (L...
Enhancing the Performance of Solar Water Heating Systems: Application of Double-Layer Phase Change Materials
Environmental Management
Volatile organic compounds (VOCs) in urban areas are of great interest due to their significant r... more Volatile organic compounds (VOCs) in urban areas are of great interest due to their significant role in forming ground-level ozone and adverse public health effects. Emission inventories usually compile the outdoor VOCs emission sources (e.g., traffic and industrial emissions). However, considering emissions from volatile chemical products (e.g., solvents, printing ink, personal care products) is challenging because of scattered data and the lack of an effective method to estimate the VOCs emission rate from these chemical products. This paper aims to systematically analyse potential sources of VOCs emission in Canada's built environment, including volatile chemical products. Also, spatial variation of VOCs level in the ambient atmosphere is examined to understand the VOC relationship with ozone and secondary organic aerosol formation. The study shows that VOCs level may vary among everyday microenvironments (e.g., residential areas, offices, and retail stores) depending on the frequency of product consumption, building age, ventilation condition, and background ambient concentration in the atmosphere. However, it is very difficult to establish VOC speciation and apportionment to different volatile chemical products that contribute most significantly to exposure and target subpopulations with elevated levels. Thus, tracer compounds can be used to identify inventory sources at the consumer end. A critical overview highlights the limitations of existing VOC estimation methods and possible approaches to control VOC emissions. The findings provide crucial information to establish an emission inventory framework for volatile chemical products at a national scale and enable policymakers to limit VOCs emission from various volatile chemical products. Keywords Volatile organic compounds • Volatile chemical products • Emission inventory • Built environment • Solvents * Zhi Chen
Optimal dispatch of an energy hub with compressed air energy storage: A safe reinforcement learning approach
Journal of Energy Storage
Physically-based modeling of the material and gaseous contaminant interactions in buildings: models, experimental data and future developments
HAL (Le Centre pour la Communication Scientifique Directe), Sep 9, 2008
Energies
The Vapor Compression Refrigeration System (VCRS) is one of the most critical systems in building... more The Vapor Compression Refrigeration System (VCRS) is one of the most critical systems in buildings typically used in Heating, Ventilation, and Air Conditioning (HVAC) systems in residential and industrial sections. Therefore, identifying their faults and evaluating their reliability are essential to ensure the required operations and performance in these systems. Various components and subsystems are included in the VCRS, which need to be analyzed for system reliability. This research’s objective is conducting a comprehensive system reliability analysis on the VCRS by focusing on fault identification and determining the fault impacts on these systems. A typical VCRS in an office building is selected for this research regarding this objective. The corresponding reliability data, including the probability distributions and parameters, are collected from references to perform the reliability evaluation on the components and subsystems of the VCRS. Then the optimum distribution paramete...
Compressed air energy storage in integrated energy systems: A review
Renewable and Sustainable Energy Reviews
Data Analytics and Information Technologies for Smart Energy Storage Systems: A State-of-the-Art Review
Sustainable Cities and Society
Thermo-economic analysis of geothermal heat pump system integrated with multi-modular water-phase change material tanks for underground space cooling applications
Journal of Energy Storage, 2022
Hourly Solar Radiations Predictions for Anticipatory Control of Electrically Heated Floor: Use of Online Weather Conditions Forecast
World Academy of Science, Engineering and Technology, International Journal of Energy and Power Engineering, 2017
Embedded LES of thermal stratification effects on the airflow and concentration fields around an isolated high-rise building: Spectral and POD analyses
Building and Environment, 2021
Abstract Non-isothermal stratification conditions can alter the airflow pattern and pollutant dis... more Abstract Non-isothermal stratification conditions can alter the airflow pattern and pollutant dispersion process within urban areas. The present study is focused on the impact of various stratification conditions, namely, stable, isothermal (neutral), and unstable, on the airflow and concentration fields around an isolated high-rise building. Zonal Reynolds-averaged Navier-Stokes (RANS)-large eddy simulation (LES), also known as embedded large eddy simulation (ELES), is employed for simulating the airflow and concentration fields under non-isothermal boundary layers in order to make a balance between computational costs and accuracy. Comparing the results predicted by the present ELES with an available LES study, with almost similar computational settings (i.e., the inflow turbulence generation method, grid resolution, etc.) shows better performance of ELES in predicting the concentration field. The findings also illustrate that the impact of the unstable stratification condition on turbulence statistics is more pronounced than that of the stable stratification condition. The present article also investigates the effect of thermal stratification conditions on the mechanisms of pollutant dispersion, namely, convective and turbulent diffusion fluxes. The findings reveal that an increase in turbulence kinetic energy (TKE), caused by the unstable thermal stratification condition, increases the concentration fluctuations, which causes the pollutant concentration to be decreased. Furthermore, spectral and proper orthogonal decomposition (POD) analyses are performed for all stratification scenarios. The results show that by altering the thermal condition from isothermal to non-isothermal, either stable or unstable conditions, the contribution of the primary dominant modes to total TKE increases.
Sustainable Cities and Society, 2020
This is a PDF file of an article that has undergone enhancements after acceptance, such as the ad... more This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Energy, 2021
This is a PDF file of an article that has undergone enhancements after acceptance, such as the ad... more This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Facilities, 2020
PurposeOne of the most critical infrastructures is a data center (DC) because of it having many s... more PurposeOne of the most critical infrastructures is a data center (DC) because of it having many servers, computers and other equipment. DCs provide online services for various companies in the information technology (IT) industry. DC facilities should provide reliable online services while addressing the required quality and performance level considering maximum reliability and availability. The purpose of this study is to represent and classify the main findings in this area and to identify the main research gaps and shortcomings from the perspective of research.Design/methodology/approachThis paper provides an organized and systematic literature review focusing on topics regarding the operation and maintenance (O&M) management of DCs.FindingsAlthough there are several studies on O&M management systems for industrial systems and facilities, a limited number of studies with few methods and models have focused on DCs so far and these facilities require more attention. This paper iden...
IOP Conference Series: Materials Science and Engineering, 2019
Window operation plays a vital role in indoor environmental quality (IEQ) and building energy con... more Window operation plays a vital role in indoor environmental quality (IEQ) and building energy consumption while maintaining occupants’ expected IEQ levels. In recent years, the influencing factors of window opening/closing behaviour have been widely investigated and evaluated in residential buildings, aiming at simulating building energy performance in a realistic manner. However, due to the challenges in collecting and analysing occupancy-related data, previous research works emphasized more on indoor/outdoor parameters (e.g. temperature and CO2). Hence, the correlation between occupancy patterns with window behaviour in a household has not been well explored. The aim of this study is to analyse the patterns of window opening and closing behaviour in French households and identify respective driving factors. The analysis was based on the data collected from four apartments in a high-performance residential building located in Lyon, France. The dataset considered in this study inclu...
Sustainable Cities and Society, 2019
The proper planning of future urban water supply is essential to sustainable development. This pa... more The proper planning of future urban water supply is essential to sustainable development. This paper answers two questions: What quantity of water will be needed in the long term? To what extent will water consumption be affected by climate change? We forecast water consumption using Bayesian statistics methods. A clustering analysis of observed daily water consumption and climate variables splits observations into base water use and seasonal water use, on the basis of the correlation between water consumption and air temperature. We show that the base water use is independent of climate change, but is subject to weekend effects. The seasonal water use depends on daily air temperature and total precipitation. Our forecast allows for uncertainties in climate variables and model parameters. The results from Bayesian linear regression give a probability distribution of daily water use. We obtained climate projections from multiple general circulation models and downscaled them for Greater Montreal. Bias corrections were made to the downscaled daily minimum temperature, maximum temperature and total precipitation. Using these corrected data as input to the Bayesian linear regression model, we forecast water consumption for the next three decades. The forecast results show a trend of increasing seasonal water use over time.
Energy and Buildings, 2019
Energy feedback systems are recently proposed to help occupants understand and improve their ener... more Energy feedback systems are recently proposed to help occupants understand and improve their energy use behavior. Despite many potential benefits, the question remains, whether useful and straightforward knowledge are transferred to the occupants about their energy use patterns. In this context, the key is to develop methodologies that can effectively analyze occupants' energy use behavior and distinguish their energy-inefficient behavior (if any). Previous studies seldom considered the dynamics of occupancy, which may result in misleading information to the occupants and inefficacy in recognizing the actual wasteful behavior. To fill this gap, this study proposes a data mining framework with a combination of change point analysis (CPA), cluster analysis, and association rule mining (ARM) to explore the relationship between occupancy and building energy consumption, aiming at identifying potential energy waste patterns and to provide useful feedback to the occupants. To demonstrate the capability of the developed framework, it was applied to datasets collected from two different apartments located in Lyon, France. Results indicate that different energy waste patterns can be effectively discovered in both apartments through the proposed framework and a substantial amount of energy savings can be achieved by modifying occupants' energy use behavior. The proposed framework is flexible and can be adaptive to households with different occupancy patterns and habitual energy-use behavior. Nevertheless, the discovered energy saving potentials and benchmark values are limited to the apartments considered in this study and similar analysis based on the proposed framework are needed in wider building stocks to explore its generalizability.
Chemical Engineering and Processing - Process Intensification, 2018
Highlights Reviewing four oxidation processes for treatment of petrochemical wastewater Study... more Highlights Reviewing four oxidation processes for treatment of petrochemical wastewater Studying the reaction mechanisms and the system performances of oxidation processes Discussing advantages and challenges associated with applying these methods Recommending an appropriate integration of oxidation and biological treatment
Building and Environment, 2018
Ultraviolet photocatalytic oxidation (UVePCO) technology has been receiving extensive attention f... more Ultraviolet photocatalytic oxidation (UVePCO) technology has been receiving extensive attention for indoor air purification in recent two decades. However, the formation of by-products during the UV-PCO process darken its prospect of providing healthy indoor air quality (IAQ). This study examines by-product generation and operational parameters from 36 UV-PCO tests using a pilot duct system with the objectives of developing reliable byproduct predictive models. The statistical analysis aimed at establishing linear and non-linear regression models to predict the concentrations of formaldehyde and acetaldehyde based on factors such as concentration, RH, airflow, and irradiance. The developed linear models provided satisfactory estimations of acetaldehyde and the sum of formaldehyde and acetaldehyde (FA) levels with regression coefficients (R 2) of 0.74 and 0.84, respectively. Parametric study and bivariate analysis further confirm the statistical significance of independent variables on the acetaldehyde and FA productions. The PCO reaction pathway was proposed to explain that the presence of some strongly bounded intermediates on the surface decreased the reactivity of acetaldehyde to be further oxidized to formaldehyde.
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Papers by Fariborz Haghighat