Field measurements of indoor air pollutant concentrations on two new ships

Kim, Sun Snook; Lee, Yun Gyu

doi:10.1016/j.buildenv.2010.03.013

Cited by 17 publications

(12 citation statements)

References 12 publications

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“…2,3,6 Furthermore, nowadays, this problem is reaching new levels, due to the application of the Ship Energy Efficiency Management Plan (SEEMP) recommendations and the changes derived from the implementation of new alternative technologies. 1,11 As a result, new and different heat sources appear in the engine room, changing considerably the thermal distribution in the engine room, in such a way that previous experience about thermal distribution on board has a very limited utility now. 11 Consequently, advanced technologies like thermographic analysis and computational fluid dynamics (CFD) are critical in order to analyse these new indoor extreme ambiences.…”

Section: Introductionmentioning

confidence: 99%

“…1,11 As a result, new and different heat sources appear in the engine room, changing considerably the thermal distribution in the engine room, in such a way that previous experience about thermal distribution on board has a very limited utility now. 11 Consequently, advanced technologies like thermographic analysis and computational fluid dynamics (CFD) are critical in order to analyse these new indoor extreme ambiences. 3,12 In this sense, in previous research works, the engine room of some merchant ships were sampled and a first estimation of the maximum time that a marine engineer could be working in so hot environment was made.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A new modelling procedure of the engine room ventilation system for work risk prevention and energy saving

Orosa

Costa

Pérez

2017

Proceedings of the Institution of Mechanical Engineers, Part M:

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Maritime transport is one of the primary international objectives for energy saving and pollution reduction, in agreement with the International Maritime Organization. Within the most interesting energy-saving topics, the ventilation system of the engine room must be highlighted, which represents about 5% of the nominal power of a modern ship. Nevertheless, its energetic optimization is not simple and must consider also work risk criteria, since the engine room is the hottest and, in consequence, one of the hazardous places in the ship. In this research, a complete three-dimensional computational fluid dynamics model of the engine room of a real ship has been developed in order to identify the hottest places and fully characterize their thermal conditions. On the basis of this analysis, a mathematical model of the maximum working time allowed has been defined, which can be directly used to design an efficient control algorithm for the ventilation system. In a complementary way, the minimum time required to rest in the control engine room to release the cumulated heat has also been analysed, in order to optimize its set-point conditions.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A new modelling procedure of the engine room ventilation system for work risk prevention and energy saving

Orosa

Costa

Pérez

2017

Proceedings of the Institution of Mechanical Engineers, Part M:

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“…Not specified Not specified Not specified [6] Broiler sheds 100 30 min 3 [8] Mould homes 3 24 h 4.3 [9] Emission chamber 100 30 min 3 [10] Compost facilities 0.7 6 h 0.252 [11] Ships 100 30 min 3 [12] www …”

Section: ) Time Volume Sampled (L) Referencementioning

confidence: 99%

Sampling Microbial Volatile Organic Compounds: Optimisation of Flow Rate and Sampling Time

Alcega

Tyrrel

Coulon

2017

WIT Transactions on Ecology and the Environment

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The impact of bioaerosols emissions from urban, agricultural and industrial environments on local air quality is of growing policy concern. However, there is no standardised protocol established yet, despite a large number of bioaerosols sampling methods in use. Additionally, capturing sufficient amounts of material to allow reproducible separation and detection of molecular patterns is still difficult. Chemical fingerprint analysis of microbial volatile organic compounds (MVOC) is a potentially rapid and reproducible approach for the early detection and identification of outdoor contamination as it has been shown to be a successful approach for indoor environments and it can be done on a fine-scale, allowing the identification of species-specific volatiles that may serve as marker compounds for the selective detection of pathogens. In this study we have tested the number and concentration of MVOCs collected using different sampling conditions: 10 min sampling time with variable flow rate (100, 500 and 1000 ml min -1 ) and 100 ml min -1 flow rate during 10, 20 and 30 min using Tenax®-Carbotrap thermal desorption (TD) tubes attached to portable GilAir® air pumps. Our aim was to determine the best sampling conditions in order to get enough material allowing reproducible data of the microbial markers present in outdoor environments. Substantial loses (>50%) of MVOCs occurred when sampling at flow rates higher than 100 ml min -1. 10 min sampling time allowed the collection of most of the MVOCs present in the air (~96%). The optimal sampling settings that allowed the collection of higher concentrations of MVOCs without breakthrough was 10 min sampling at 100 ml min ).

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“…in garages) one sensor should cover an area of 900 m 2 [8]. Based on the survey results [11][12][13], a mathematical model of the place to be ventilated in the ship is required. It is difficult to obtain an analytical model, so artificial intelligence model is appropriate.…”

Section: Introductionmentioning

confidence: 99%

Neural Network Model of carbon monoxide distribution in onboard a RO-RO Ship Garage

Elserafi¹,

Agamy

Mosleh³

et al. 2019

Port-Said Engineering Research Journal

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Exhaust emissions in the closed vehicle garage onboard ships not sufficiently ventilated can cause damage to human health and lead even to death and pollution. In this paper, an intelligent artificial neural network model is designed to simulate the carbon monoxide concentration in order to be used to manage the concentration limits in the permissible range. The proposed model is identified based on data collected from real measurements at different load conditions and positions on a Roll-on/Roll-off (RO-RO) vehicle garage onboard a ship vessel. The neural network model is designed, identified and verified to cover all possible operating conditions at different loading and distribution of cars.

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Field measurements of indoor air pollutant concentrations on two new ships

Cited by 17 publications

References 12 publications

A new modelling procedure of the engine room ventilation system for work risk prevention and energy saving

A new modelling procedure of the engine room ventilation system for work risk prevention and energy saving

Sampling Microbial Volatile Organic Compounds: Optimisation of Flow Rate and Sampling Time

Neural Network Model of carbon monoxide distribution in onboard a RO-RO Ship Garage

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