Article
Multidisciplinary Sciences
Jing Wang, Guangjie Du, Mohan Liu
Summary: This study examines the spatiotemporal characteristics and influencing factors of carbon emissions from civil buildings in China. The findings show that carbon emissions from civil buildings have been increasing year by year and have become an important source of China's overall carbon emissions. There is a significant inverted U-shaped non-linear relationship between urbanization and civil building carbon emissions, indicating the need to reduce emissions during rapid urbanization. Technological progress and fixed asset investment can effectively reduce carbon emissions, while marketization and social consumption expenditure positively affect emissions. Improving market mechanisms and promoting green energy-saving technologies in civil buildings are necessary to achieve carbon reduction goals.
Article
Environmental Sciences
Zhengxia Tang, Zakia Batool, Sajjad Ali, Mohammad Haseeb, Vipin Jain, Syed Muhammad Faraz Raza, Prasun Chakrabarti
Summary: Carbon dioxide emissions are increasing all over the world, especially in developing countries, leading to climate change and global warming. This article provides an overview of the impact of technology on energy consumption and its consequences for the environment in residential, transport, and industrial sectors. By using the STIRPAT-Kaya-EKC model and panel threshold regression, this study investigates the threshold effect of technological advancements on the relationship between energy use and CO2 emissions in 10 Asian countries from 1990 to 2020. The findings reveal the presence of the Environmental Kuznets Curve (EKC) phenomenon in the chosen Asian region and suggest that technology has a threshold influence on the energy use and carbon emissions relationship, although this effect varies across sectors.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Lei Wen, Qianqian Song
Summary: This study investigates the key factors and future trends of rural energy consumption in Henan Province, using different models. The results reveal that factors other than population have varying degrees of impact on energy consumption, and there is a virtuous cycle between energy consumption and electricity consumption. The predictions show that energy consumption and electricity consumption will increase year by year in the coming years.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Wencong Yue, Zhongqi Liu, Meirong Su, Zhihui Gu, Chao Xu
Summary: This study evaluated the impacts of urbanization on energy-environmental efficiency (EEE) in 21 cities in Guangdong Province, finding that the proportion of urban resident population and urban compactness had significant positive impacts on EEE, while per capita GDP, contribution of the secondary industry, and proportion of land used for urban construction had significant negative impacts on EEE. Other factors such as population size and urban built-up area did not significantly affect EEE.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Yiping Liu, Yuling Han
Summary: In the Yangtze River Economic Belt, the impact of urbanization and technology on CO2 emissions varies at different stages, with economic urbanization having the most significant effect on reducing CO2 emissions overall.
Article
Green & Sustainable Science & Technology
Feifei Tan, Shasha Yang, Zhiyuan Niu
Summary: Understanding the relationship between urbanization and carbon emissions and their impact mechanism is of great importance for formulating climate policies and achieving low emissions during urbanization development. This study utilized China's provincial panel dataset and employed the Threshold-STIRPAT model to investigate the impact of urbanization on carbon emissions under different thresholds, with the intermediate effect model combined. The results showed that the effect of urbanization on carbon emissions varied depending on the urbanization rate, with a higher rate leading to a greater increase in carbon emissions. Additionally, resident consumption improvement and technological progress played major roles in the transmission mechanism.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Green & Sustainable Science & Technology
Weichen Zhong, Junnian Song, Wei Yang, Kai Fang, Xiaoyu Liu
Summary: Household consumption indirectly stimulates industrial production and energy consumption, and this study examines the impact of urban and rural household consumption on industrial energy consumption in China. The research forecasts a doubling of urban consumption-driven IEC by 2030, highlighting the increasing importance of household consumption in shaping industrial development and energy consumption trends under accelerating urbanization.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Zhibo Zhao, Jiamin Ren, Zheng Liu
Summary: This study analyzed data from 282 cities in China and found that urbanization plays a crucial role in improving carbon emission performance. There is a U-shaped relationship between urbanization and carbon emission performance, with urbanization having a positive effect beyond a certain point. Additionally, the study found that human capital positively contributes to carbon emission performance, while technological innovation has a inhibiting effect.
Article
Environmental Sciences
Liton Chandra Voumik, Mahinur Begum Mimi
Summary: Within the EU, economic activity is rising in most developed countries, leading to increased carbon dioxide emissions. To maintain sustainable growth, the EU must quickly find solutions to pollution. The STIRPAT model considers population, wealth, renewable energy, nuclear energy, and R & D to determine their environmental impacts. The study found that population growth and fossil fuel use are major causes of environmental degradation, while renewables and higher incomes can reduce pollution in the long term. R & D investments also help lessen environmental damage, but nuclear energy has insignificant effects.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Zakia Batool, Naeem Ahmed, Muhammad Luqman
Summary: ICT penetration in Asian nations has increased significantly in recent years. This study investigates how ICT can reduce CO2 emissions through transport energy and urban development. STIRPAT and panel threshold models were used to explore the stochastic impacts of the variables and verify the validity of EKC. The results confirm that the environmental quality improves with a reduction in CO2 emissions when ICT surpasses the threshold level.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Changfeng Shi, Chen Wu, Jiaying Zhang, Chenjun Zhang, Qianqian Xiao
Summary: This study analyzes the impact of residents' food consumption on water resources in China and finds that the per capita water footprint of urban and rural residents is increasing, with urban residents having a higher per capita water footprint than rural residents. The study suggests that water depletion can be reduced by controlling food consumption.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2022)
Article
Environmental Sciences
Tengfei Huo, Ruijiao Cao, Hongyan Du, Jing Zhang, Weiguang Cai, Bingsheng Liu
Summary: Urbanization has a nonlinear impact on urban residential building CO2 emissions, influenced by per capita income and energy structure stages. Promoting environmentally-friendly consumption patterns and increasing the penetration of cleaner energies in urban households can effectively alleviate the growth of residential carbon emissions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Green & Sustainable Science & Technology
Amirmohsen Behjat, Mohammad Hassan Tarazkar
Summary: The study found a positive and statistically significant relationship between economic growth and IEWP in Iran, while energy consumption reduced IEWP. Additionally, the impact of population on IEWP was negative and statistically significant in both the short and long run, indicating that population growth in Iran contributes to environmental degradation and pollution. This suggests that energy consumption and population development policies need to align with efforts to reduce environmental pollution.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2021)
Article
Education, Scientific Disciplines
Da-Jin Yu, Fen An, Yuan-Fan Ye, Hui-Hong Zeng
Summary: Through cluster analysis, 30 provinces in mainland China are divided into high, medium, and low energy consumption regions, and the characteristics of total energy consumption and regional differences are analyzed using the Theil index. An enhanced Panel-STIRPAT model is constructed and suitable panel models for each region are selected for comprehensive analysis. The results show that there are regional differences in energy consumption in China, mainly originating from within each region. The factors affecting energy consumption are the same in different regions, but their influence varies due to differences in geographical environment and stress levels. Reasonable measures to control energy consumption in different regions are proposed based on these findings.
Article
Green & Sustainable Science & Technology
Tiangui Lv, Han Hu, Hualin Xie, Xinmin Zhang, Li Wang, Xiaoqiang Shen
Summary: This study analyzes the complex relationship between urbanization and carbon emissions, and predicts future carbon emissions in Jiangxi Province, China. The results show that there are spatial and temporal patterns in carbon emissions in Jiangxi, and factors such as population, economy, technology, and urbanization all have an influence on carbon emissions. It is important to consider appropriate population size, economic structure optimization, cleaner production technology development, and regional differences when formulating carbon emissions reduction policies.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Green & Sustainable Science & Technology
Lars odegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad
Summary: This study investigates uncertainty modeling in wind power forecasting using different parametric and non-parametric methods. Johnson's SU distribution is found to outperform Gaussian distributions in predicting wind power. This research contributes to the literature by introducing Johnson's SU distribution as a candidate for probabilistic wind forecasting.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Xing Liu, Qiuchen Wang, Yunhao Wen, Long Li, Xinfang Zhang, Yi Wang
Summary: This study analyzes the characteristics of process parameters in three lean gas ethane recovery processes and establishes a prediction and multiobjective optimization model for ethane recovery and system energy consumption. A new method for comparing ethane recovery processes for lean gas is proposed, and the addition of extra coolers improves the ethane recovery. The support vector regression model based on grey wolf optimization demonstrates the highest prediction accuracy, and the multiobjective multiverse optimization algorithm shows the best optimization performance and diversity in the solutions.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Cairong Song, Haidong Yang, Xian-Bing Meng, Pan Yang, Jianyang Cai, Hao Bao, Kangkang Xu
Summary: The paper proposes a novel deep learning-based prediction framework, aTCN-LSTM, for accurate cooling load predictions. The framework utilizes a gate-controlled multi-head temporal convolutional network and a sparse probabilistic self-attention mechanism with a bidirectional long short-term memory network to capture both temporal and long-term dependencies in the cooling load sequences. Experimental results demonstrate the effectiveness and superiority of the proposed method, which can serve as an effective guide for HVAC chiller scheduling and demand management initiatives.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Zhe Chen, Xiaojing Li, Xianli Xia, Jizhou Zhang
Summary: This study uses survey data from the Loess Plateau in China to evaluate the impact of social interaction on the adoption of soil and water conservation (SWC) technology by farmers. The study finds that social interaction increases the likelihood of farmers adopting SWC, and internet use moderates this effect. The positive impact of social interaction on SWC adoption is more pronounced for farmers in larger villages and those who join cooperative societies.
JOURNAL OF CLEANER PRODUCTION
(2024)
Article
Green & Sustainable Science & Technology
Chenghua Zhang, Yunfei Yan, Kaiming Shen, Zongguo Xue, Jingxiang You, Yonghong Wu, Ziqiang He
Summary: This paper reports a novel method that significantly improves combustion performance, including heat transfer enhancement under steady-state conditions and adaptive stable flame regulation under velocity sudden increase.
JOURNAL OF CLEANER PRODUCTION
(2024)