Chemosphere, Год журнала: 2023, Номер 344, С. 140357 - 140357
Опубликована: Окт. 4, 2023
Язык: Английский
Chemosphere, Год журнала: 2023, Номер 344, С. 140357 - 140357
Опубликована: Окт. 4, 2023
Язык: Английский
Journal of Environmental Management, Год журнала: 2022, Номер 323, С. 116273 - 116273
Опубликована: Сен. 21, 2022
Язык: Английский
Процитировано
45Journal of Building Engineering, Год журнала: 2025, Номер unknown, С. 112086 - 112086
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
2Energy and Buildings, Год журнала: 2023, Номер 286, С. 112932 - 112932
Опубликована: Фев. 27, 2023
This is the first study demonstrating how an ecosystem of Internet Things or IoT-enabled devices and sensors can effectively control cooking-emitted air pollution energy-efficiently. The was conducted in simulated fully furnished residential modules Well Living Lab Rochester, MN. IoT sensor consisted particulate matter (PM2.5) a circuit monitor for tracking stove on/off status. In this study, we developed tested seven algorithms benchmarked them against temperature setpoint-controlled constant volume (CAV) supply. Results show that, compared to setpoint controlled CAV supply, hood, portable cleaners (PAC), bathroom exhaust operated by produce significant improvement indoor quality during cooking. Reduction integrated PM2.5 concentration ranged from 81% 94% Cooking-emitted activating hood combination other interventions, producing reduction ∼90% baseline. On annual level, electrical energy consumed mitigate cooking emitted particles ranges 39.4 kWh 265 translating additional cost $5.6 $42.5. From standpoint, PM-activated PACs are most efficient, ∼80% When considering exposure consumption, Stove Hood effective intervention consuming 86.9 annually, costing $12.2. Sensors PM monitoring must be mounted on timely action. Using monitors activation did not significantly improve exposure.
Язык: Английский
Процитировано
20Journal of Building Engineering, Год журнала: 2024, Номер 86, С. 108827 - 108827
Опубликована: Фев. 16, 2024
Язык: Английский
Процитировано
8Atmospheric chemistry and physics, Год журнала: 2023, Номер 23(6), С. 3595 - 3607
Опубликована: Март 23, 2023
Abstract. The Fenwei Plain, home to 50 million people in central China, is one of the most polluted regions China. In 2018, Plain was designated as three key for “Blue Sky Protection Campaign”, along with Beijing–Tianjin–Hebei (BTH) and Yangtze River Delta (YRD) regions. However, compared BTH YRD, our understanding current status air pollution limited partly due a lack detailed analysis transformation from precursor gases secondary products including organic aerosol (SOA) ozone. Through 7 years (2015–2021) surface monitoring pollutants Xi'an, largest city we show that roughly two-thirds days exceeded either PM2.5 or O3 level-1 quality standard, highlighting severity pollution. Moreover, an increase winter haze also revealed, constantly elevated reactive oxygenated volatile compounds (OVOCs), particular formaldehyde, ozone formation potential over µg m−3, combination reduced NO2. abrupt decrease NO2, observed during lockdown 2020, provided real-world evidence control measures, targeting only NOx (70 % on average), were insufficient reduce because OVOCs remained high compound (VOC)-limited regime. Model simulation results showed NO2 reduction 20 %–70 %, self-reaction rate between peroxy radicals, pathway SOA formation, intensified by up 75 while further VOCs > %. Therefore, synergic can be achieved through more aggressive their gases. This study elucidates revealing general trend increasing pollution, i.e., haze. Controlling gas emissions anticipated curb both which will benefit not just but other
Язык: Английский
Процитировано
14Environmental Pollution, Год журнала: 2023, Номер 323, С. 121221 - 121221
Опубликована: Фев. 11, 2023
Язык: Английский
Процитировано
12Building and Environment, Год журнала: 2023, Номер 243, С. 110713 - 110713
Опубликована: Авг. 7, 2023
Cooking and cleaning are among the largest sources of home pollutant emissions. To reduce these emissions, we developed an automated indoor air quality (IAQ) control intervention that operated based on real-time sensor readings particulate matter (PM2.5) evaluated perceptual differences between this a baseline condition. We employed 14-participant crossover study design in one-bedroom apartment module. Participants experienced one two conditions: (1) Advanced Control–automated IAQ interventions including stove hood, portable cleaners, bathroom exhaust powered on/off predefined PM2.5 thresholds measured by environmental sensors; (2) Standard Control–participants controlling (e.g., hood) manually. Each condition lasted weeks. followed standardized cooking protocols filled out surveys assessing psychosocial outcomes. Observations indicated weekly satisfaction, perception, preferences were similar conditions—despite lower concentrations during for Control versus Condition. When pairing complaints with cooking, observed participants made when >∼80 μg/m3 but few <∼60 μg/m3. Lower Condition cleaning, did not appear perceivable due to far overall. Our observations suggest connection concentration participants, thereby providing possible changes.
Язык: Английский
Процитировано
11Environmental Science Atmospheres, Год журнала: 2023, Номер 3(2), С. 347 - 362
Опубликована: Янв. 1, 2023
Indoor air quality (IAQ) is crucial for the wellbeing of university students. Yet, IAQ in student residences highly variable and challenging to monitor. This work first monitor residence with a low-cost sensor network.
Язык: Английский
Процитировано
10Journal of Building Engineering, Год журнала: 2024, Номер 84, С. 108530 - 108530
Опубликована: Янв. 14, 2024
Cooking can generate substantial heat from cooking equipment, potentially resulting in low thermal comfort levels if this excess is not adequately dissipated. Additionally, it profoundly affect indoor air quality (IAQ) only kitchen spaces but also adjacent without sufficient ventilation. To ensure a healthy and comfortable environment avoid unnecessary energy use, research proposed an equipment usage detection approach utilizing computer vision deep learning techniques to aid the operation of demand-driven ventilation systems highly polluted spaces. Faster RCNN model was employed trained perform detection. The rate for adjusted based on real-time results. Experimental tests were carried out case study results showed that achieved overall F1 score 0.9142. Overall, good performance detection, with high accuracy identifying appliances use such as stoves, ovens, toasters. Field experimental advantages combining mechanical methods, extractor fans cooker hoods, mitigate IAQ issues while achieving savings. Moreover, simulations demonstrate its potential reduce consumption by dynamically adjusting rates usage. When fan speed varied method, PM2.5 concentration period 16.5 % lower 3.7 rise power 0.8 daily heating demand, compared constant speed.
Язык: Английский
Процитировано
4ACS ES&T Air, Год журнала: 2024, Номер 1(3), С. 188 - 199
Опубликована: Фев. 14, 2024
The indoor air quality of a residential home during winter in Fairbanks, Alaska, was investigated and contrasted with outdoor levels. Twenty-four-hour average filter samples were collected from January 17 to February 25, 2022, area high PM2.5 concentrations. oxidative potential determined using the dithiothreitol-depletion assay (OPDTT). For unoccupied house, background indoor-to-outdoor (I/O) ratio mass-normalized OP (OPmDTT), measure intrinsic health-relevant properties aerosol, less than 1 (0.53 ± 0.37), implying loss aerosol toxicity as transported indoors. This may result transport volatility losses driven by large gradients temperature (average −19°C/average 21 °C) or relative humidity RH 78%/average 11%), both. Various activities, including pellet stove use, simple cooking experiments, incense burning, mixtures these conducted. experiments produced highly variable OPmDTT. emissions had lowest values, while highest. Correlations between volume-normalized OPDTT (OPvDTT), relevant exposure, mass concentration much lower compared those environments. suggests that alone can be poor indicator possible adverse effects various emissions. These findings highlight importance considering both quantity particles sources (chemical composition), health metrics for quality.
Язык: Английский
Процитировано
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