scholarly journals Designing and Analyzing Park Sensor System for Efficient and Sustainable Car Park Area Management

Author(s):  
Hasan Köten ◽  
Ahmet Faruk Karakebelioğlu ◽  
Özkan Eren ◽  
Hüseyin Alp

Many problems have been seen in cities because of increasing vehicle density. One of these problems is vehicle density in parking lots. People look for empty parking areas and they spend too much time. While people look for empty parking areas, CO2 (carbon dioxide) emission and energy consumption increase due to density in parking lots. We worked to solve these problems by doing Magnetic Car Park Sensor. Magnetic Car Park Sensor is the system which detects cars in car parks. After cars detected with the system, the system sends information to center server and we can see information data in the system interface. The system helps people to find empty parking lots. As people find empty car park areas fastly, energy consumption and CO2 emission are decreased significantly.

2017 ◽  
Vol 4 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Nadia Bukhari ◽  
Muhammad Waseem

This study investigates the long-term relationship between the carbon dioxide emissions, energy consumption, along with final consumption expenditure with regards to Pakistan by employing time series data from 1972 to 2013. For empirical analysis the Auto regressive distributed lag (ARDL) methodology is employed. A relationship between the energy consumption and the CO2 emission has been founded. The results of granger causality test point out the one way causality runs through energy consumption to carbon dioxide emission. The findings of the study also show that the CO2 emission is mainly determined by the energy consumption and the final consumption expenditure.


2019 ◽  
Author(s):  
Tedi Ahmad Bahtiar ◽  
Amalia Nurjannah ◽  
Maryoko Hadi

Until 2016, fossil fuels as primary energy are included in the top three most widely used. The process of combustion of fossil fuels causes the release of tremendous amounts of carbon to the atmosphere. In the atmosphere, carbon turns into carbon dioxide (CO2) or often called greenhouse gas. Greenhouse gas has a negative impact on the environment: direct effects like acid rains, and indirect effects like global warming. In Indonesia, the buildings used 37.8 percent of the total national energy consumption and are directly responsible for 37.8 percent of CO2 emission. This study aims to discuss the impact of reducing energy consumption used by the household on the risk of greenhouse gases. A computer simulation was used to calculate energy consumption in buildings. A conversion method from building energy consumption to the amount of CO2 emission was used to determine the level of reduction of greenhouse gas risk. Some parameters were evaluated, such as building’s material (e.g., roof, wall) and building geometry. It was found that the energy consumption savings were around 66.1 percent and operational CO2 savings were obtained 923 kg/year.


Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1999
Author(s):  
Guanyong Sun ◽  
Bin Li ◽  
Hanjie Guo ◽  
Wensheng Yang ◽  
Shaoying Li ◽  
...  

Carbon included in coke and coal was used as a reduction agent and fuel in blast furnace (BF) ironmaking processes, which released large quantities of carbon dioxide (CO2). Minimizing the carbon consumption and CO2 output has always the goal of ironmaking research. In this paper, the reduction reactions of iron oxides by carbon, the gasification reaction of carbon by CO2, and the coupling reactions were studied by thermodynamic functions, which were derived from isobaric specific heat capacity. The reaction enthalpy at 298 K could not represent the heat value at the other reaction temperature, so the certain temperature should be confirmed by Gibbs frees energy and gas partial pressure. Based on Hess’ law, the energy consumption of the ironmaking process by carbon was calculated in detail. The decrease in the reduction temperature of solid metal iron has been beneficial in reducing the sensible heat required. When the volume ratio of CO to CO2 in the top gas of the furnace was given as 1.1–1.5, the coupling parameters of carbon gasification were 1.06–1.28 for Fe2O3, 0.71–0.85 for Fe3O4, 0.35–0.43 for FeO, respectively. With the increase in the coupling parameters, the volume fraction of CO2 decreased, and energy consumption and CO2 output increased. The minimum energy consumption and CO2 output of liquid iron production were in the reduction reactions with only CO2 generated, which were 9.952 GJ/t and 1265.854 kg/t from Fe2O3, 9.761 GJ/t and 1226.799 kg/t from Fe3O4, 9.007 GJ/t and 1107.368 kg/t from FeO, respectively. Compared with the current energy consumption of 11.65 GJ/t hot metal (HM) and CO2 output of 1650 kg/tHM of BF, the energy consumption and CO2 of ironmaking by carbon could reach lower levels by decreasing the coupled gasification reactions, lowering the temperature needed to generate solid Fe and adjusting the iron oxides to improve the iron content in the raw material. This article provides a simplified calculation method to understand the limit of energy consumption and CO2 output of ironmaking by carbon reduction iron oxides.


Author(s):  
Chen ◽  
Zhuo ◽  
Xu ◽  
Xu ◽  
Gao

As a result of China’s economic growth, air pollution, including carbon dioxide (CO2) emission, has caused serious health problems and accompanying heavy economic burdens on healthcare. Therefore, the effect of carbon dioxide emission on healthcare expenditure (HCE) has attracted the interest of many researchers, most of which have adopted traditional empirical methods, such as ordinary least squares (OLS) or quantile regression (QR), to analyze the issue. This paper, however, attempts to introduce Bayesian quantile regression (BQR) to discuss the relationship between carbon dioxide emission and HCE, based on the longitudinal data of 30 provinces in China (2005–2016). It was found that carbon dioxide emission is, indeed, an important factor affecting healthcare expenditure in China, although its influence is not as great as the income variable. It was also revealed that the effect of carbon dioxide emission on HCE at a higher quantile was much smaller, which indicates that most people are not paying sufficient attention to the correlation between air pollution and healthcare. This study also proves the applicability of Bayesian quantile regression and its ability to offer more valuable information, as compared to traditional empirical tools, thus expanding and deepening research capabilities on the topic.


2018 ◽  
Vol 63 (02) ◽  
pp. 389-407
Author(s):  
SANTOSH K. SAHU ◽  
DEEPANJALI MEHTA

This paper investigates determinants of energy and emission intensities of manufacturing firms in India, from 2000 to 2014. Given that Indian manufacturing sector is one of the world’s most polluting sectors in terms of CO2 emissions; we arrive at firm level determinants of energy and carbon dioxide emission intensities from consumption of three primary sources of energy, namely (1) Coal, (2) Natural Gas and (3) Petroleum. The results of the regression analysis suggest that there are inter-firm differences in energy and emission intensity. The results indicate that smaller and larger firms are both energy and emission intensive compared to medium sized firms. Similarly, firms spending more in research and development activities are found to be energy and emission efficient, compare to others. Hence, in the global competitive business environment, Government of India should carefully formulate policies suitable for the medium sized firms to make them energy and emission efficient.


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