scholarly journals Influencing Factors, Energy Consumption, and Carbon Emission of Central Heating in China: A Supply Chain Perspective

2021 ◽  
Vol 9 ◽  
Author(s):  
Guixian Liu ◽  
Zhaoyang Kong ◽  
Jiajia Dong ◽  
Xiucheng Dong ◽  
Qingzhe Jiang ◽  
...  
Keyword(s):  
Supply Chain ◽  
Energy Consumption ◽  
Energy Demand ◽  
Least Squares Method ◽  
Generalized Least Squares ◽  
Carrier Heating ◽  
Central Heating ◽  
Transport Carrier ◽  
Main Factors ◽  
Heating Degree Days

The rapid growth of energy demand in China’s central heating sector and the large differences in regions have posed challenges to its energy supply safety, which affected the progress of China’s energy transformation. From a supply chain perspective, this study uses the feasible generalized least squares method to conduct empirical research on the central heating data of 17 provinces in China from 2006 to 2017. The results shows that the main factors of central heating includes energy consumption structure, heat generation method, heat transport carrier, heating degree days and heating area; The main factor that increases the energy consumption of central heating in each province is the same, namely Heating area (HA). However, the main factors that reduce energy consumption in each province are different; using gas instead of coal for clean heating can reduce some greenhouse gas emissions while bringing huge gas supply pressure. According to the results, this study provides some policy suggestions.

scholarly journals Green Supply Chain Management, Environmental Degradation, and Energy: Evidence from Asian Countries

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yi Yu ◽  
Wanwan Zhu ◽  
Yuan Tian
Keyword(s):  
Supply Chain ◽  
Energy Consumption ◽  
Supply Chain Management ◽  
Environmental Degradation ◽  
Environmental Sustainability ◽  
Energy Demand ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Asian Countries ◽  
Chain Management

The purpose of this study is to test the relationship among green logistics, environmental degradation, and energy demand. The system generalized method of moment (system GMM) is used to study the data of Asian countries and four subregions in Asia. The estimation results show that logistics operation consumes nonrenewable energy such as fossil fuels, which has a negative impact on environmental sustainability and energy demand. The service quality and capability (LPITC) in the logistics performance index has a significant contribution to reducing carbon dioxide emissions. The logistics infrastructure (LPIIN) has significantly reduced the energy consumption in Asia, while the customs (LPIC) has significantly increased the energy demand. Other indicators of LPI also have a significant impact on the environment and energy in different subregions of Asia. Industrialization and urbanization both increase carbon emissions in Asia, while trade opening reduces carbon emissions. At the same time, these three variables have a positive impact on reducing energy consumption. The results show that logistics performance is significantly related to environmental degradation and energy, and renewable energy and green supply chain management can reduce the harmful effects of logistics activities on environment and energy. Therefore, Asian countries should give priority to environmental sustainability in supply chain management and encourage the application of green practices in logistics.

scholarly journals Batch Reverse Osmosis Desalination Modeling under a Time-Dependent Pressure Profile

Membranes ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 173
Author(s):  
Abdeljalil Chougradi ◽  
François Zaviska ◽  
Ahmed Abed ◽  
Jérôme Harmand ◽  
Jamal-Eddine Jellal ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Reverse Osmosis ◽  
Specific Energy ◽  
Energy Demand ◽  
Specific Energy Consumption ◽  
Pressure Profile ◽  
Recovery Ratio ◽  
Feed Concentration ◽  
Energetic Performance ◽  
Feed Volume

As world demand for clean water increases, reverse osmosis (RO) desalination has emerged as an attractive solution. Continuous RO is the most used desalination technology today. However, a new generation of configurations, working in unsteady-state feed concentration and pressure, have gained more attention recently, including the batch RO process. Our work presents a mathematical modeling for batch RO that offers the possibility of monitoring all variables of the process, including specific energy consumption, as a function of time and the recovery ratio. Validation is achieved by comparison with data from the experimental set-up and an existing model in the literature. Energetic comparison with continuous RO processes confirms that batch RO can be more energy efficient than can continuous RO, especially at a higher recovery ratio. It used, at recovery, 31% less energy for seawater and 19% less energy for brackish water. Modeling also proves that the batch RO process does not have to function under constant flux to deliver good energetic performance. In fact, under a linear pressure profile, batch RO can still deliver better energetic performance than can a continuous configuration. The parameters analysis shows that salinity, pump and energy recovery devices efficiencies are directly linked to the energy demand. While increasing feed volume has a limited effect after a certain volume due to dilution, it also shows, interestingly, a recovery ratio interval in which feed volume does not affect specific energy consumption.

scholarly journals Design and Fabrication of a Novel Window-Type Convection Device

2020 ◽  
Vol 11 (1) ◽  
pp. 267
Author(s):  
Han-Tang Lin ◽  
Yunn-Horng Guu ◽  
Wei-Hsuan Hsu
Keyword(s):  
Energy Consumption ◽  
Mass Flow Rate ◽  
Mass Flow ◽  
Flow Rate ◽  
Energy Demand ◽  
Air Entrainment ◽  
Wind Speeds ◽  
Digit Series ◽  
Slit Size ◽  
Deflector Plate

Global warming, climate change, and ever-increasing energy demand are among the pressing challenges currently facing humanity. Particularly, indoor air conditioning, a major source of energy consumption, requires immediate improvement to prevent energy crises. In this study, various airfoil profiles were applied to create a window-type convection device that entrains air to improve convection between indoor and outdoor airflows and adjust the indoor temperature. How the geometric structure of the convection device affects its air entrainment performance was investigated on the basis of various airfoil profiles and outlet slit sizes of the airflow multiplier. The airfoil profiles were designed according to the 4-digit series developed by the National Advisory Committee for Aeronautics. The results revealed that airfoil thickness, airfoil camber, and air outlet slit size affected the mass flow rate of the convection device. Overall, the mass flow rate at the outlet of the convection device was more than 10 times greater than at the inlet, demonstrating the potential of the device to improve air convection. To validate these simulated results, the wind-deflector plate was processed using the NACA4424 airfoil with a 1.2 mm slit, and various operating voltages were applied to the convection device to measure the resulting wind speeds and calculate the corresponding mass flow rates. The experimental and simulated results were similar, with a mean error of <7%, indicating that the airfoil-shaped wind-deflector plate substantially improved air entrainment of the convection device to the goal of reduced energy consumption and carbon emissions.

Constructing a summary index using the standardized inverse-covariance weighted average of indicators

2020 ◽  
Vol 20 (4) ◽  
pp. 952-964
Author(s):  
Benjamin Schwab ◽  
Sarah Janzen ◽  
Nicholas P. Magnan ◽  
William M. Thompson
Keyword(s):  
Least Squares Method ◽  
Weighted Average ◽  
Generalized Least Squares ◽  
American Statistical Association ◽  
Cash Transfer ◽  
Transfer Program ◽  
Statistical Association ◽  
Generalized Least Squares Method ◽  
Summary Index ◽  
The Relationship

Researchers often want to examine the relationship between a variable of interest and multiple related outcomes. To avoid problems of inference that arise from testing multiple hypotheses, one can create a summary index of the outcomes. Summary indices facilitate generalizing findings and can be more powerful than individual tests. In this article, we introduce a command, swindex, that implements the generalized least-squares method of index construction proposed by Anderson (2008, Journal of the American Statistical Association 103: 1481–1495). We describe the command and its options and provide an example based on Blattman, Fiala, and Martinez’s (2014, Quarterly Journal of Economics 129: 697–752) evaluation of a cash transfer program in Uganda.

scholarly journals Determining the Main Factors Influencing the Energy Consumption of Electric Vehicles in the Usage Phase

Procedia CIRP ◽  
2016 ◽  
Vol 48 ◽  
pp. 352-357 ◽  
Author(s):  
Wen Li ◽  
Patrick Stanula ◽  
Patricia Egede ◽  
Sami Kara ◽  
Christoph Herrmann
Keyword(s):  
Energy Consumption ◽  
Electric Vehicles ◽  
Usage Phase ◽  
Factors Influencing ◽  
Main Factors

Study on Dynamic Relationship between Economic Growth and Energy Consumption in Chongqing - Based on 1980-2011 Data

2013 ◽  
Vol 448-453 ◽  
pp. 4319-4324
Author(s):  
Sheng Wang ◽  
Chun Yan Dai ◽  
En Chuang Wang ◽  
Chun Yan Li
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Energy Consumption ◽  
Energy Demand ◽  
Industrial Structure ◽  
Impulse Response Function ◽  
Improve Energy Efficiency ◽  
Dynamic Relationship ◽  
Equilibrium Relationship

Analyzed the dynamic interaction characteristics of Chongqing Economic growth and energy consumption between 1980-2011 based on vector auto regression model, impulse response function. The results showed that: 1 Between the Chongqing's economic growth and energy consumption exist the positive long-term stable equilibrium relationship, Chongqing's economic development depending on energy consumption is too high, to keep the economy in Chongqing's rapid economic development, energy relatively insufficient supply sustainable development must rely on the energy market, which will restrict the development of Chongqing's economy. 2At this stage, Chongqing continuing emphasis on optimizing the industrial structure to improve energy efficiency at the same time, the key is to establish and improve the energy consumption intensity and total energy demand "dual control" under the security system, weakening the energy bottleneck effect on economic growth.

Impact of urbanization on per capita energy use and emissions in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Stuti Haldar ◽  
Gautam Sharma
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Population Density ◽  
Carbon Dioxide Emissions ◽  
Energy Demand ◽  
Energy Use ◽  
Energy Intensity ◽  
Series Data ◽  
Content Type ◽  
Per Capita

Purpose The purpose of this study is to investigate the impacts of urbanization on per capita energy consumption and emissions in India. Design/methodology/approach The present study analyses the effects of urbanization on energy consumption patterns by using the Stochastic Impacts by Regression on Population, Affluence and Technology in India. Time series data from the period of 1960 to 2015 has been considered for the analysis. Variables including Population, GDP per capita, Energy intensity, share of industry in GDP, share of Services in GDP, total energy use and urbanization from World Bank data sources have been used for investigating the relationship between urbanization, affluence and energy use. Findings Energy demand is positively related to affluence (economic growth). Further the results of the analysis also suggest that, as urbanization, GDP and population are bound to increase in the future, consequently resulting in increased carbon dioxide emissions caused by increased energy demand and consumption. Thus, reducing the energy intensity is key to energy security and lower carbon dioxide emissions for India. Research limitations/implications The study will have important policy implications for India’s energy sector transition toward non- conventional, clean energy sources in the wake of growing share of its population residing in urban spaces. Originality/value There are limited number of studies considering the impacts of population density on per capita energy use. So this study also contributes methodologically by establishing per capita energy use as a function of population density and technology (i.e. growth rates of industrial and service sector).

Conformity or differentiation? A U-shaped relationship between peers’ CSR and focal firms’ CSR

2021 ◽  
Vol 15 (2) ◽  
pp. 305-327
Author(s):  
Xianyi Long ◽  
Ting Zhang
Keyword(s):  
Design Methodology ◽  
Least Squares Method ◽  
Environmental Uncertainty ◽  
Generalized Least Squares ◽  
Content Type ◽  
Differentiation Strategy ◽  
Generalized Least Squares Method ◽  
Academic Researchers ◽  
Corporate Social ◽  
Practical Implications

Purpose The purpose of this paper is to investigate the influence of peers’ corporate social responsibility (CSR) on focal firms’ CSR from an integrated perspective. The current study aims to explore whether as peers’ CSR increases focal firms’ CSR would first decrease and then increase. Design/methodology/approach This study is based on a sample consisting of Chinese listed manufacturing firms from 2010 to 2016. Hypotheses are tested by generalized least squares method to minimum heterogeneity and autocorrelation concern. Findings The results show that focal firms’ CSR would first decrease and then increase with the increase in peers’ CSR. Furthermore, this paper found that corporate visibility would stress more value on CSR differentiation strategy and environmental uncertainty would stress more value on CSR conformity strategy, such that the U-shaped relationship would be more pronounced in high corporate visibility or low environmental uncertainty situation. Practical implications The findings may be of interest to the academic researchers and managers. For researchers, it is important to understand how focal firms would practice CSR in response to peers’ CSR, especially through an integrated perspective. For managers, the results show that the best way to invest in CSR activities in response to peers’ CSR follows a U-shaped curve, and corporate visibility and environmental uncertainty are important factors to be considered to make CSR decisions. Originality/value This study contributes to the literature by proposing and examining a U-shaped relationship between peers’ CSR and focal firms’ CSR, which stresses the conformity and differentiation value of CSR simultaneously. Besides, to fully map the effects of peers’ CSR and focal firms’ CSR, this paper considers the moderating roles of internal and external contingencies on this non-linear relationship between the peers’ CSR and focal firms’ CSR.

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