A numerical analysis of particulate matter control technology integrated with HVAC system inlet design and implications on energy consumption

2022 ◽  
pp. 108726
Author(s):  
Brian Considine ◽  
John Gallagher ◽  
Prashant Kumar ◽  
Aonghus McNabola
Keyword(s):  
Particulate Matter ◽  
Energy Consumption ◽  
Numerical Analysis ◽  
Control Technology ◽  
Hvac System

Development and Analysis on Energy Conservation Equipment and Control Technology of HVAC

2012 ◽  
Vol 424-425 ◽  
pp. 852-856
Author(s):  
Jian Min Sun ◽  
Chun Dong Zhang
Keyword(s):  
Energy Consumption ◽  
Energy Conservation ◽  
Air Conditioning ◽  
Clean Energy ◽  
Building Energy ◽  
Control Technology ◽  
Hvac System ◽  
Advanced Control ◽  
Control Technologies ◽  
And Control

In building, the energy consumption of heating, ventilation and air conditioning (HVAC) is the largest, which accounts for forty to sixty percent of the total building consumption. So it is a key research to reduce the energy consumption of the HVAC system for saving building energy. This article describes a variety of energy conservation equipment of HVAC, and describes in detail the principles of each type of equipment. This article also analyzes the growing advanced control technologies for the HVAC system. In conclusion, HVAC equipment is developing in the direction of clean energy and energy efficient; intelligent control technology is more applicable to the varying parameters of complex system such as air conditioning, is more energy conservation and will become the leading direction of research and application

Energy Efficiency and Tracking Performance Evaluation for Dual-Mode Model Predictive Control of HVAC Systems

2018 ◽  
Vol 10 (4) ◽  
Author(s):  
Zicheng Cai ◽  
Asad A. Ul Haq ◽  
Michael E. Cholette ◽  
Dragan Djurdjanovic
Keyword(s):  
Energy Consumption ◽  
Predictive Control ◽  
Pid Control ◽  
Control Structure ◽  
Tracking Performance ◽  
System Control ◽  
Hvac System ◽  
Dual Mode ◽  
Different Types ◽  
Predictive Controller

This paper presents evaluation of the energy consumption and tracking performance associated with the use of a recently introduced dual-mode model predictive controller (DMMPC) for control of a heating, ventilation, and air conditioning (HVAC) system. The study was conducted using detailed simulations of an HVAC system, which included a multizone air loop, a water loop, and a chiller. Energy consumption and tracking performance are computed from the simulations and evaluated in the presence of different types and magnitudes of noise and disturbances. Performance of the DMMPC is compared with a baseline proportional-integral-derivative (PID) control structure commonly used for HVAC system control, and this comparison showed clear and consistent superiority of the DMMPC.

scholarly journals Regional Energy, CO2, and Economic and Air Quality Index Performances in China: A Meta-Frontier Approach

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2119 ◽  
Author(s):  
Ying Li ◽  
Yung-Ho Chiu ◽  
Liang Lu
Keyword(s):  
Particulate Matter ◽  
Energy Consumption ◽  
Air Quality ◽  
Quality Index ◽  
Air Pollutant ◽  
Air Quality Index ◽  
Significant Difference ◽  
Desirable Output ◽  
Reduce Emissions ◽  
Carbon Dioxide Co2

Rapid economic development has resulted in a significant increase in energy consumption and pollution such as carbon dioxide (CO2), particulate matter (PM2.5), particulate matter 10 (PM10), SO2, and NO2 emissions, which can cause cardiovascular and respiratory diseases. Therefore, to ensure a sustainable future, it is essential to improve economic efficiency and reduce emissions. Using a Meta-frontier Non-radial Directional Distance Function model, this study took energy consumption, the labor force, and fixed asset investments as the inputs, Gross domestic product (GDP) as the desirable output, and CO2 and the Air Quality Index (AQI) scores as the undesirable outputs to assess energy efficiency and air pollutant index efficiency scores in China from 2013–2016 and to identify the areas in which improvements was necessary. It was found that there was a large gap between the western and eastern cities in China. A comparison of the CO2 and AQI in 31 Chinese cities showed a significant difference in the CO2 emissions and AQI efficiency scores, with the lower scoring cities being mainly concentrated in China’s western region. It was therefore concluded that China needs to pay greater attention to the differences in the economic levels, stages of social development, and energy structures in the western cities when developing appropriately focused improvement plans.

Air pollution assessment using a cost-effective device: the case study of the northern Latium coastal area.

2021 ◽  
Author(s):  
Daniele Piazzolla ◽  
Giancarlo Della Ventura ◽  
Andrea Terribili ◽  
Alessandra Conte ◽  
Sergio Scanu ◽  
...  
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Energy Consumption ◽  
Monitoring System ◽  
Coastal Area ◽  
Cost Effective ◽  
Coastal Environment ◽  
Tyrrhenian Sea ◽  
Environment Monitoring ◽  
Mobile Monitoring

<p><span>The increase in urbanization requires intense energy consumption and causes an increase in emissions from transportation and industrial sources. As a result, a variety of pollutants are released into the atmosphere with negative effects on the health of organisms and ecosystems as well as on human health. In this perspective, coastal areas are considered "hot</span><span>spot</span><span>s" of environmental contamination since they often host multiple human activities. This issue is particularly dramatic close to important maritime hubs, as a matter of fact overall 25% of the world energy consumption (a major source of pollution) is employed for transport, and over 80% of world trade is carried by sea (Gobbi et al. 2020). </span><span>During 2019-2020 we carried out a continuous monitoring of particulate matter in a fixed station to understand the sources of air pollution in the northern Latium coastal area. This area has been selected for the presence of industrial activities located in a few kilometers of coast (Piazzolla et al. 2020). </span><span>The amount and typology of solid particles present in the environment have been assessed by implementing a reliable cost-effective device (Gozzi et al. 2015, 2017) which integrates an optical particle counter and a filtering set-up able to collect particulate matter with dimension > 400 nm (Della Ventura et al. 2017). Filters were periodically removed from the device and recovered microparticles were subjected to microscopic (optical and electron), spectroscopic (IR, Raman), and microchemical (SEM-EDS) characterization. Results were related to the wind speed and direction measured by</span><span> the </span>Civitavecchia Coastal Environment Monitoring System<span> (</span><span>Bonamano et al. 2015), allowing an evaluation of the contribution of anthropic (industrial and maritime) activities to the pollution in this area.</span></p><p>Bonamano S., Piermattei V., Madonia A., Mendoza F., Pierattini A., Martellucci R., ... <span>& Marcelli M. (2016). The Civitavecchia Coastal Environment Monitoring System (C-CEMS): a new tool to analyze the conflicts between coastal pressures and sensitivity areas. Ocean Science, 12(1).</span><span> DOI 10.5194/os-12-87-2016</span></p><p><span>Della Ventura G., Gozzi F., Marcelli A. (2017) The MIAMI project: design and testing of an IoT lowcost device for mobile monitoring of PM and gaseous pollutants. Superstripe Press, Science Series, 12, 41-44, ISBN 9788866830764</span></p><p>Gobbi G.P., Di Liberto L., Barnaba F. (2020). <span>Impact of port emissions on Eu-regulated and non-regulated air quality indicators: the case of Civitavecchia (Italy). Science of the Total environment, 719. DOI 10.1016/j.scitotenv.2019.134984 </span></p><p><span>Gozzi, F., Della Ventura, G., Marcelli, A. (2015) Mobile monitoring of particulate matter: State of art and perspectives. Atmospheric Pollution Research, 7, 228-234. DOI 10.1016/j.apr.2015.09.007.</span></p><p><span>Gozzi F., Della Ventura G., Marcelli A., Lucci F. (2017) Current status of particulate matter pollution in Europe and future perspectives: a review. Journal of Materials and Environmental Science, 8, 1901-1909. ISSN 2028-2508</span></p><p><span>Piazzolla D., Cafaro V., de Lucia G. A., Mancini E., Scanu S., Bonamano S., ... & Marcelli M. (2020). Microlitter pollution in coastal sediments of the northern Tyrrhenian Sea, Italy: microplastics and fly-ash occurrence and distribution. </span>Estuarine, Coastal and Shelf Science, 106819. DOI 10.1016/j.ecss.2020.106819</p>

scholarly journals Dynamic Trends of Fine Particulate Matter Exposure across 190 Countries: Analysis and Key Insights

2020 ◽  
Vol 12 (7) ◽  
pp. 2910
Author(s):  
Yu Sang Chang ◽  
Byong-Jin You ◽  
Hann Earl Kim
Keyword(s):  
Particulate Matter ◽  
Energy Consumption ◽  
Population Size ◽  
Fine Particulate Matter ◽  
Weighted Average ◽  
Health Issues ◽  
Cumulative Energy ◽  
Fine Particulate ◽  
Global Trend ◽  
The Future

Despite the fact that fine particulate matter (PM2.5) causes serious health issues, few studies have investigated the level and annual rate of PM2.5 change across a large number of countries. For a better understanding of the global trend of PM2.5, this study classified 190 countries into groups showing different trends of PM2.5 change during the 2000–2014 period by estimating the progress ratio (PR) from the experience curve (EC), with PM2.5 exposure (PME)–the population-weighted average annual concentration of PM2.5 to which a person is exposed—as the dependent variable and the cumulative energy consumption as the independent variable. The results showed a wide variation of PRs across countries: While the average PR for 190 countries was 96.5%, indicating only a moderate decreasing PME trend of 3.5% for each doubling of the cumulative energy consumption, a majority of 118 countries experienced a decreasing trend of PME with an average PR of 88.1%, and the remaining 72 countries displayed an increasing trend with an average PR of 110.4%. When two different types of EC, classical and kinked, were applied, the chances of possible improvement in the future PME could be suggested in the descending order as follows: (1) the 60 countries with an increasing classical slope; (2) the 12 countries with an increasing kinked slope; (3) the 75 countries with a decreasing classical slope; and (4) the 43 countries with a decreasing kinked slope. The reason is that both increasing classical and kinked slopes are more likely to be replaced by decreasing kinked slopes, while decreasing classical and kinked slopes are less likely to change in the future. Population size seems to play a role: A majority of 52%, or 38 out of the 72 countries with an increasing slope, had a population size of bigger than 10 million inhabitants. Many of these countries came from SSA, EAP, and LAC regions. By identifying different patterns of past trends based on the analysis of PME for individual countries, this study suggests a possible change of the future slope for different groups of countries.

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