Calculation of Carbon Emission During Expressway Operation Period Based on Energy Consumption Analysis

In order to achieve the carbon emission reduction targets in Xinjiang, it has become a necessary condition to study the carbon emission of households in small and medium-sized cities in Xinjiang. This paper studies the direct carbon emissions of households (DCEH) in the Ebinur Lake Basin, and based on the extended STIRPAT model, using the 1987–2017 annual time series data of the Ebinur Lake Basin in Xinjiang to analyze the driving factors. The results indicate that DCEH in the Ebinur Lake Basin during the 31 years from 1987 to 2017 has generally increased and the energy structure of DCEH has undergone tremendous changes. The proportion of coal continues to decline, while the proportion of natural gas, gasoline and diesel is growing rapidly. The main positive driving factors affecting its carbon emissions are urbanization, vehicle ownership and GDP per capita, while the secondary driving factor is residents’ year-end savings. Population, carbon intensity and energy consumption structure have negative effects on carbon emissions, of which energy consumption structure is the main factor. In addition, there is an environmental Kuznets curve between DCEH and economic development, but it has not yet reached the inflection point.

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Computationally efficient forecasting procedures for Kuhn-Tucker consumer demand model systems: Application to residential energy consumption analysis

Journal of Choice Modelling ◽

10.1016/j.jocm.2021.100283 ◽

2021 ◽

pp. 100283

Author(s):

Abdul Rawoof Pinjari ◽

Chandra Bhat

Keyword(s):

Energy Consumption ◽

Consumer Demand ◽

Model Systems ◽

Demand Model ◽

Computationally Efficient ◽

Residential Energy ◽

Residential Energy Consumption ◽

Energy Consumption Analysis

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Practical Model for Energy Consumption Analysis of Omnidirectional Mobile Robot

Sensors ◽

10.3390/s21051800 ◽

2021 ◽

Vol 21 (5) ◽

pp. 1800

Author(s):

Linfei Hou ◽

Fengyu Zhou ◽

Kiwan Kim ◽

Liang Zhang

Keyword(s):

Energy Consumption ◽

Power Consumption ◽

Mobile Robot ◽

Load Capacity ◽

Working Environment ◽

Energy Consumption Analysis ◽

Mecanum Wheel ◽

Save Energy ◽

Energy Consumption Modeling ◽

Robot Platform

The four-wheeled Mecanum robot is widely used in various industries due to its maneuverability and strong load capacity, which is suitable for performing precise transportation tasks in a narrow environment. While the Mecanum wheel robot has mobility, it also consumes more energy than ordinary robots. The power consumed by the Mecanum wheel mobile robot varies enormously depending on their operating regimes and environments. Therefore, only knowing the working environment of the robot and the accurate power consumption model can we accurately predict the power consumption of the robot. In order to increase the applicable scenarios of energy consumption modeling for Mecanum wheel robots and improve the accuracy of energy consumption modeling, this paper focuses on various factors that affect the energy consumption of the Mecanum wheel robot, such as motor temperature, terrain, the center of gravity position, etc. The model is derived from the kinematic and kinetic model combined with electrical engineering and energy flow principles. The model has been simulated in MATLAB and experimentally validated with the four-wheeled Mecanum robot platform in our lab. Experimental results show that the accuracy of the model reached 95%. The results of energy consumption modeling can help robots save energy by helping them to perform rational path planning and task planning.

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Mitigating the Energy Consumption and the Carbon Emission in the Building Structures by Optimization of the Construction Processes

Energies ◽

10.3390/en14113287 ◽

2021 ◽

Vol 14 (11) ◽

pp. 3287

Author(s):

Alireza Tabrizikahou ◽

Piotr Nowotarski

Keyword(s):

Life Cycle ◽

Energy Consumption ◽

Structural Optimization ◽

Carbon Emissions ◽

Carbon Emission ◽

Construction Materials ◽

High Energy ◽

Building Structures ◽

Life Cycle Stages ◽

Reduction Of Energy Consumption

For decades, among other industries, the construction sector has accounted for high energy consumption and emissions. As the energy crisis and climate change have become a growing concern, mitigating energy usage is a significant issue. The operational and end of life phases are all included in the building life cycle stages. Although the operation stage accounts for more energy consumption with higher carbon emissions, the embodied stage occurs in a time-intensive manner. In this paper, an attempt has been made to review the existing methods, aiming to lower the consumption of energy and carbon emission in the construction buildings through optimizing the construction processes, especially with the lean construction approach. First, the energy consumption and emissions for primary construction materials and processes are introduced. It is followed by a review of the structural optimization and lean techniques that seek to improve the construction processes. Then, the influence of these methods on the reduction of energy consumption is discussed. Based on these methods, a general algorithm is proposed with the purpose of improving the construction processes’ performance. It includes structural optimization and lean and life cycle assessments, which are expected to influence the possible reduction of energy consumption and carbon emissions during the execution of construction works.

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Prediction model for energy consumption and carbon emission of asphalt surface construction

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/330/2/022052 ◽

2019 ◽

Vol 330 ◽

pp. 022052

Author(s):

Zheng Zhang ◽

Xujun Gao ◽

Jiafei Wang ◽

Xiaoping Ji

Keyword(s):

Energy Consumption ◽

Prediction Model ◽

Carbon Emission ◽

Surface Construction

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Energy Consumption Analysis and Characterization of Healthcare Facilities in the United States

Energies ◽

10.3390/en12193775 ◽

2019 ◽

Vol 12 (19) ◽

pp. 3775 ◽

Cited By ~ 6

Author(s):

Khaled Bawaneh ◽

Farnaz Ghazi Nezami ◽

Md. Rasheduzzaman ◽

Brad Deken

Keyword(s):

United States ◽

Energy Consumption ◽

Energy Intensity ◽

The United States ◽

High Energy ◽

Total Energy Consumption ◽

Healthcare Facilities ◽

Energy Consumption Analysis ◽

Consumption Data ◽

End Use

Healthcare facilities in the United States account for 4.8% of the total area in the commercial sector and are responsible for 10.3% of total energy consumption in this sector. The number of healthcare facilities increased by 22% since 2003, leading to a 21% rise in energy consumption and an 8% reduction in energy intensity per unit of area (544.8 kWh/m2). This study provides an analytical overview of the end-use energy consumption data in healthcare systems for hospitals in the United States. The energy intensity of the U.S. hospitals ranges from 640.7 kWh/m2 in Zone 5 (very hot) to 781.1 kWh/m2 in Zone 1 (very cold), with an average of 738.5 kWh/m2. This is approximately 2.6 times higher than that of other commercial buildings. High energy intensity in the healthcare facilities, particularly in hospitals, along with energy costs and associated environmental concerns make energy analysis crucial for this type of facility. The proposed analysis shows that U.S. healthcare facilities have higher energy intensity than those of most other countries, especially the European ones. This necessitates the adoption of more energy-efficient approaches to the infrastructure and the management of healthcare facilities in the United States.

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