scholarly journals Environmental Impact Assessment of Banagrass-Based Cellulosic Ethanol Production on Hawaii Island: A Spatial Analysis of Re-Suspended Soil Dust and Carbon Dioxide Emission

2019 ◽  
Vol 9 (13) ◽  
pp. 2648
Author(s):  
Chinh C. Tran ◽  
John F. Yanagida
Keyword(s):  
Carbon Dioxide ◽  
Air Quality ◽  
Environmental Impact ◽  
Impact Assessment ◽  
Ethanol Production ◽  
Environmental Impact Assessment ◽  
Co2 Emission ◽  
Soil Dust ◽  
Stationary Source ◽  
Hawaii Island

Environmental impacts from the development of banagrass (Pennisetum purpureum)-based ethanol production on Hawaii Island may create air quality problems. Air pollutants considered in this study include re-suspended soil dust (also known as PM2.5 and PM10) and carbon dioxide (CO2) emission. The resulting pollutant emissions are then compared against the Federal Prevention of Significant Deterioration (PSD) significant standard for the environmental impact assessment. This study combines GIS and a mathematical computational model to logically and effectively examine potential spatial impacts of ethanol development on air quality on Hawaii Island. This study found that mechanical harvesting of banagrass generates higher dust emission than other agricultural crops. The total PM10 emission of 248.18 tons per year was found statistically equivalent to the PSD significant permitting requirement limit of 250 tons per year (tpy) and thus considered as a major stationary source of fugitive dust pollution. The annual CO2 emission amount of 19,371.72 tons is less than the PSD significant permitting requirement of 75,000 tons of CO2 per year. As a result, this estimated amount is not considered as a major stationary source of pollution.

scholarly journals Review on Ventilation Systems for Building Applications in Terms of Energy Efficiency and Environmental Impact Assessment

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 98
Author(s):  
Effrosyni Giama
Keyword(s):  
Mechanical Ventilation ◽  
Energy Efficiency ◽  
Renewable Energy ◽  
Life Cycle ◽  
Energy Consumption ◽  
Air Quality ◽  
Environmental Impact ◽  
Impact Assessment ◽  
Environmental Impact Assessment ◽  
Ventilation Systems

Buildings are responsible for approximately 30–40% of energy consumption in Europe, and this is a fact. Along with this fact is also evident the existence of a defined and strict legislation framework regarding energy efficiency, decarbonization, sustainability, and renewable energy systems in building applications. Moreover, information and communication technologies, along with smart metering for efficient monitoring, has come to cooperate with a building’s systems (smart buildings) to aim for more advanced and efficient energy management. Furthermore, the well-being in buildings still remains a crucial issue, especially nowadays that health and air quality are top priority goals for occupants. Taking all the above into consideration, this paper aims to analyze ventilation technologies in relation to energy consumption and environmental impact assessment using the life cycle approach. Based on the review analysis of the existing ventilation technologies, the emphasis is given to parameters related to the efficient technical design of ventilation systems and their adequate maintenance under the defined guidelines and standards of mechanical ventilation operation. These criteria can be the answer to the complicated issue of energy efficiency along with indoor air quality targets. The ventilation systems are presented in cooperation with heating and cooling system operations and renewable energy system applications ensuring an energy upgrade and reduced greenhouse gas emissions. Finally, the mechanical ventilation is examined in a non-residential building in Greece. The system is compared with the conventional construction typology of the building and in cooperation with PVs installation in terms of the environmental impact assessment and energy efficiency. The methodology implemented for the environmental evaluation is the Life Cycle Analysis supported by OpenLca software.

Environmental Impact Assessment Regarding Indoor Air Quality Using Statistical Methods

2018 ◽  
Vol 69 (11) ◽  
pp. 3225-3228
Author(s):  
Elena Bucur ◽  
Andrei Vasile ◽  
Luoana Florentina Pascu ◽  
Carol Blaziu Lehr ◽  
Gabriela Geanina Vasile
Keyword(s):  
Air Quality ◽  
Environmental Impact ◽  
Impact Assessment ◽  
Indoor Air Quality ◽  
Statistical Methods ◽  
Environmental Impact Assessment ◽  
Indoor Air ◽  
Chemical Compounds ◽  
New Information ◽  
Destructive Potential

This paper brings into attention of the indoor air specialists new information regarding the assessment of the potential cumulated impact of the air chemical compounds and microclimate factors on materials; for exemplification it was selected a wooden church made by oak and the monitoring values for temperature, humidity and the concentration of four chemical compounds with a destructive potential on organic materials generally: NO2, SO2, O3 and PM2.5.

Environmental Impact Assessment of the Energy Grass’s Life Cycle Based on the BP Neural Network

2011 ◽  
Vol 347-353 ◽  
pp. 2635-2639
Author(s):  
Zhen Lin Wei ◽  
Jing Han ◽  
Ya Hui Song
Keyword(s):  
Neural Network ◽  
Life Cycle ◽  
Environmental Impact ◽  
Impact Assessment ◽  
Ethanol Production ◽  
Environmental Impact Assessment ◽  
Bp Neural Network ◽  
Cellulosic Ethanol ◽  
Assessment Model ◽  
Atmospheric Pollutants

Facing the tense situation of the world's energy, it is particularly important to develop and utilize environmentally friendly, renewable energy grass specially prepared for cellulosic ethanol production. Therefore, the establishment of a whole process of energy grass life cycle assessment model of production of cellulosic ethanol is necessary. This paper gives an inventory analysis of the life cycle of the process that uses energy grass to produce cellulosic ethanol, according to the theory of life cycle; and then uses BP neural network to assess environmental impact of this process. Research results show that the BP neural network meets the requirements of this environmental impact assessment, atmospheric pollutants and water pollutants of energy grass of cellulosic ethanol production process have reached the level of standard.

Risk Prediction of Environmental Impact Assessment - Actual Protein Project as an Example

2011 ◽  
Vol 467-469 ◽  
pp. 2155-2158
Author(s):  
Ji Hong Zhou ◽  
Bin Wang ◽  
Xiao Tao Gou
Keyword(s):  
Risk Assessment ◽  
Air Quality ◽  
Environmental Impact ◽  
Impact Assessment ◽  
Production Process ◽  
Risk Prediction ◽  
Environmental Impact Assessment ◽  
Source Strength ◽  
Personal Safety ◽  
Toxic Concentration

The risk assessment is an important part of the environmental impact assessment, and is a kind of evaluation personal safety caused by and environmental impact and damage during construction and operation of the predictability of emergencies caused by toxic and hazardous, flammable and explosive substances such as leakage and etc. In this paper, a actual project that may arise in the production process of the leakage of methanol make the source strength calculations and make predictions after the accident and the results show that: after an accident that there is no death, severe poisoning and moderately toxic concentration , but the plant will cause the surrounding air quality to exceed standard.

scholarly journals Considering Condensable Particulate Matter Emissions Improves the Accuracy of Air Quality Modeling for Environmental Impact Assessment

2021 ◽  
Vol 13 (8) ◽  
pp. 4470
Author(s):  
Doo Sung Choi ◽  
Jong-Sang Youn ◽  
Im Hack Lee ◽  
Byung Jin Choi ◽  
Ki-Joon Jeon
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Environmental Impact ◽  
Impact Assessment ◽  
Environmental Impact Assessment ◽  
Quality Standards ◽  
Residential Development ◽  
Target Area ◽  
Air Quality Standards ◽  
Development Area

This study examines environmental impact assessment considering filterable particulate matter (FPM) and condensable particulate matter (CPM) to improve the accuracy of the air quality model. Air pollutants and meteorological data were acquired from Korea’s national monitoring station near a residential development area in the target district and background site. Seasonal emissions of PM2.5, including CPM, were estimated using the California puff (CALPUFF) model, based on Korea’s national emissions inventory. These results were compared with the traditional environmental impact assessment results. For the residential development area, the seasonal PM2.5 concentration was predicted by considering FPM and CPM emissions in the target area as well as the surrounding areas. In winter and spring, air quality standards were not breached because only FPM was considered. However, when CPM was included in the analysis, the results exceeded the air quality standards. Furthermore, it was predicted that air quality standards would not be breached in summer and autumn, even when CPM is included. In other words, conducting an environmental impact assessment on air pollution including CPM affects the final environmental decision. Therefore, it is concluded that PM2.5 should include CPM for greater accuracy of the CALPUFF model for environmental impact assessment.

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