Article
Multidisciplinary Sciences
Samuel Asante Gyamerah, Luis Alberiko Gil-Alana
Summary: The study applies the vector error correction model to analyze the short- and long-run impacts of electricity consumption and economic growth on CO2 emissions in Western and Central Africa from 1970 to 2020. The results show that there is cointegration among CO2 emission, electricity consumption, and economic growth, with electricity consumption and economic growth having a significant positive effect on CO2 emission. Furthermore, the adjustment process is not driven by electricity consumption, and any deviation from the long-run equilibrium leads to adjustments in economic growth and CO2 emission. The long-run dynamics of electricity consumption and economic growth have a greater impact on CO2 emission than the short-run dynamics, highlighting the importance of promoting green economic concepts in the region.
Article
Thermodynamics
Guangyue Xu, Hualiu Yang, Peter Schwarz
Summary: The study finds that the relationship between electricity consumption and economic growth in China has strengthened over time, with both direct and indirect effects increasing. Additionally, increasing ecological awareness due to economic growth has led to a higher demand for electricity generation from clean energy sources.
Article
Environmental Sciences
Hamid Mahmood, Jun Wen, Muhammad Zakaria, Samia Khalid
Summary: This study empirically analyzes the association between electricity demand and economic growth in China using a time-frequency framework. The findings suggest that there is a strong co-movement and causality between these two variables, particularly at low-frequency levels.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Anam Azam, Muhammad Rafiq, Muhammad Shafique, Haonan Zhang, Muhammad Ateeq, Jiahai Yuan
Summary: The study shows that renewable electricity consumption has a positive impact on economic growth in newly industrialized countries, and there is a significant bidirectional causation between renewable electricity consumption and economic growth in the long run.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Economics
Pinjie Xie, Han Li, Feihu Sun, Huizhen Tian
Summary: In order to achieve green economic development, China needs to transition from an extensive growth mode to an intensive one, quantitatively analyze the relationship between power factor inputs and economic growth, and understand the core factors affecting their coordinated development.
Article
Economics
Guoxing Zhang, Md Nuruzzaman, Bin Su
Summary: Bangladesh, a climate-vulnerable country, is struggling to balance economic growth with residential energy consumption, primarily dependent on fossil fuel. Household energy consumption is crucial for sustainable economic growth, even though it may not directly convert to manufacturing output in the country. The country's labor-intensive economy shows a unidirectional relationship between household electricity consumption and population growth, emphasizing the importance of ensuring electricity for all.
Article
Green & Sustainable Science & Technology
Xin-gang Zhao, Jin Zhu
Summary: This paper explores the equilibrium relationship and Granger causality among industrial restructuring, energy consumption, and economic growth at aggregated and disaggregated levels. The findings demonstrate that industrial structure rationalization has a higher impact on economic growth compared to industrial structure upgrading, while natural gas and renewable energy consumption have a smaller effect on economic growth. Therefore, it is important to focus on industrial structure rationalization and develop policies that encourage clean energy development.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Thermodynamics
Han Hongyun, Amira Radwan
Summary: This research examines the determinants of electricity consumption in Egypt from 1997 to 2018, finding both long-run and short-run causal relationships. The study uses unit root tests, Johansen cointegration, and vector error correction models to analyze the data. The results suggest that there is a positive relationship between gross domestic product and electricity consumption, as well as a short-run causality between electricity consumption and population increase.
Article
Thermodynamics
Muhammed Ashiq Villanthenkodath, Mantu Kumar Mahalik
Summary: This study highlights the asymmetric impacts of electricity consumption on economic growth in Bangladesh, showing that negative shocks in electricity consumption have a dominant effect on economic growth. It emphasizes the importance of not underestimating the long-run asymmetric effects of electricity consumption on economic growth in Bangladesh to address issues of economic growth unsustainability and ecological grief.
Article
Energy & Fuels
Sebastian Majewski, Urszula Mentel, Raufhon Salahodjaev, Marek Cierpial-Wolan
Summary: This study investigates the relationship between electricity supply and economic growth in South Asian countries from 1990 to 2018. The empirical results show a long-term relationship between electricity supply and economic growth. The panel analysis does not reject the non-causal relationship between electricity supply and economic growth, supporting the neutrality hypothesis. However, for Pakistan, the analysis reveals a growth hypothesis. These findings have important policy implications, suggesting that measures to improve energy efficiency can be introduced in Bangladesh, India, and Sri Lanka without harming economic growth. Additionally, fostering green energy generation in Pakistan may have a positive effect on economic growth through improved electricity production. Governments can utilize various policy tools, such as fiscal incentives, low interest loans, and grants for rural populations, to accelerate the transition to green energy.
Article
Green & Sustainable Science & Technology
Anasuya Haldar, Sanhita Sucharita, Devi Prasad Dash, Narayan Sethi, Purna Chandra Padhan
Summary: The study confirms that Information and Communication Technology (ICT), especially internet-use and technological innovation, have brought significant structural changes that drive economic growth. ICT not only increases economic growth monotonically, but also enhances the effectiveness of financial development. However, it also accentuates the negative effects of trade on economic growth. Thus, emerging economies should increase internet-connectivity to induce network-effect and improve their capital markets, while also augmenting renewable electricity generation for environmentally-sustainable economic growth.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Environmental Sciences
Md Atikur Rahaman, Md Afzal Hossain, Songsheng Chen
Summary: This study investigates the impact of FDI, tourism, electricity consumption, and economic development on CO2 emissions in Bangladesh. The results show that FDI, electricity consumption, and economic development have significant positive long-term effects on CO2 emissions, while tourism has a long-term negative effect. Additionally, the study confirms the validity of the Environmental Kuznets Curve.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Thermodynamics
Bao-Linh Tran, Chi-Chung Chen, Wei-Chun Tseng
Summary: This study investigates the threshold effect of GDP on the causality between GDP and energy consumption using panel data of 26 OECD countries. The findings reveal that the relationship between GDP and energy consumption is influenced by a GDP threshold. When GDP is below a certain threshold, there is a unidirectional causality from energy consumption to GDP. However, when GDP exceeds the threshold, there is no short-term causality but a long-term causality from GDP to energy consumption. This highlights the need for policymakers to implement energy conservation policies at certain levels of economic development and adjust energy policies accordingly during different periods of economic growth to foster sustainable development.
Article
Economics
Saptorshee Kanto Chakraborty, Massimiliano Mazzanti
Summary: This study found a significant positive long-term relationship between renewable electricity consumption and economic growth, but no Granger causality was detected. It also identified per capita economic growth as a causal factor for total electricity consumption and fossil fuel based electricity consumption.
STRUCTURAL CHANGE AND ECONOMIC DYNAMICS
(2021)
Article
Business
Haonan Zhang, Xingping Zhang, Changhong Zhao, Jiahai Yuan
Summary: This study found different causality relationships between electricity consumption and economic growth in different types of countries, and green power cooperation should be promoted in BRI countries in the future.
EMERGING MARKETS FINANCE AND TRADE
(2021)
Article
Thermodynamics
Yong Cheng, Fukai Song, Lei Fu, Saishuai Dai, Zhiming Yuan, Atilla Incecik
Summary: This paper investigates the accessibility of wave energy absorption by a dual-pontoon floating breakwater integrated with hybrid-type wave energy converters (WECs) and proposes a hydraulic-pneumatic complementary energy extraction method. The performance of the system is validated through experiments and comparative analysis.
Article
Thermodynamics
Jing Gao, Chao Wang, Zhanwu Wang, Jin Lin, Runkai Zhang, Xin Wu, Guangyin Xu, Zhenfeng Wang
Summary: This study aims to establish a new integrated method for biomass cogeneration project site selection, with a focus on the application of the model in Henan Province. By integrating Geographic Information System and Multiple Criterion Decision Making methods, the study conducts site selection in two stages, providing a theoretical reference for the construction of biomass cogeneration projects.
Article
Thermodynamics
Mert Temiz, Ibrahim Dincer
Summary: The current study presents a hybrid small modular nuclear reactor and solar-based system for sustainable communities, integrating floating and bifacial photovoltaic arrays with a small modular reactor. The system efficiently generates power, hydrogen, ammonia, freshwater, and heat for residential, agricultural, and aquaculture facilities. Thermodynamic analysis shows high energy and exergy efficiencies, as well as large-scale ammonia production meeting the needs of metropolitan areas. The hybridization of nuclear and solar technologies offers advantages of reliability, environmental friendliness, and cost efficiency compared to renewable-alone and fossil-based systems.
Editorial Material
Thermodynamics
Wojciech Stanek, Wojciech Adamczyk
Article
Thermodynamics
Desheng Xu, Yanfeng Li, Tianmei Du, Hua Zhong, Youbo Huang, Lei Li, Xiangling Duanmu
Summary: This study investigates the optimization of hybrid mechanical-natural ventilation for smoke control in complex metro stations. The results show that atrium fires are more significantly impacted by outdoor temperature variations compared to concourse/platform fires. The gathered high-temperature smoke inside the atrium can reach up to 900 K under a 5 MW train fire energy release. The findings provide crucial engineering insights into integrating weather data and adaptable ventilation protocols for smoke prevention/mitigation.
Article
Thermodynamics
Da Guo, Heping Xie, Mingzhong Gao, Jianan Li, Zhiqiang He, Ling Chen, Cong Li, Le Zhao, Dingming Wang, Yiwei Zhang, Xin Fang, Guikang Liu, Zhongya Zhou, Lin Dai
Summary: This study proposes a new in-situ pressure-preserved coring tool and elaborates its pressure-preserving mechanism. The experimental and field test results demonstrate that this tool has a high pressure-preservation capability and can maintain a stable pressure in deep wells. This study provides a theoretical framework and design standards for the development of similar technologies.
Article
Thermodynamics
Aolin Lai, Qunwei Wang
Summary: This study assesses the impact of China's de-capacity policy on renewable energy development efficiency (REDE) using the Global-MSBM model and the difference-in-differences method. The findings indicate that the policy significantly enhances REDE, promoting technological advancements and marketization. Moreover, regions with stricter environmental regulations experience a higher impact.
Article
Thermodynamics
Mostafa Ghasemi, Hegazy Rezk
Summary: This study utilizes fuzzy modeling and optimization to enhance the performance of microbial fuel cells (MFCs). By simulating and analyzing experimental data sets, the ideal parameter values for increasing power density, COD elimination, and coulombic efficiency were determined. The results demonstrate that the fuzzy model and optimization methods can significantly improve the performance of MFCs.
Article
Thermodynamics
Zhang Ruan, Lianzhong Huang, Kai Wang, Ranqi Ma, Zhongyi Wang, Rui Zhang, Haoyang Zhao, Cong Wang
Summary: This paper proposes a grey box model for fuel consumption prediction of wing-diesel hybrid vessels based on feature construction. By using both parallel and series grey box modeling methods and six machine learning algorithms, twelve combinations of prediction models are established. A feature construction method based on the aerodynamic performance of the wing and the energy relationship of the hybrid system is introduced. The best combination is obtained by considering the root mean square error, and it shows improved accuracy compared to the white box model. The proposed grey box model can accurately predict the daily fuel consumption of wing-diesel hybrid vessels, contributing to operational optimization and the greenization and decarbonization of the shipping industry.
Article
Thermodynamics
Huayi Chang, Nico Heerink, Junbiao Zhang, Ke He
Summary: This study examines the interaction between off-farm employment decisions between couples and household clean energy consumption in rural China, and finds that two-paycheck households are more likely to consume clean energy. The off-farm employment of women is a key factor driving household clean energy consumption to a higher level, with wage-employed wives having a stronger influence on these decisions than self-employed ones.
Article
Thermodynamics
Hanguan Wen, Xiufeng Liu, Ming Yang, Bo Lei, Xu Cheng, Zhe Chen
Summary: Demand-side management is crucial to smart energy systems. This paper proposes a data-driven approach to understand the relationship between energy consumption patterns and household characteristics for better DSM services. The proposed method uses a clustering algorithm to generate optimal customer groups for DSM and a deep learning model for training. The model can predict the possibility of DSM membership for a given household. The results demonstrate the usefulness of weekly energy consumption data and household socio-demographic information for distinguishing consumer groups and the potential for targeted DSM strategies.
Article
Thermodynamics
Xinglan Hou, Xiuping Zhong, Shuaishuai Nie, Yafei Wang, Guigang Tu, Yingrui Ma, Kunyan Liu, Chen Chen
Summary: This study explores the feasibility of utilizing a multi-level horizontal branch well heat recovery system in the Qiabuqia geothermal field. The research systematically investigates the effects of various engineering parameters on production temperature, establishes mathematical models to describe their relationships, and evaluates the economic viability of the system. The findings demonstrate the significant economic feasibility of the multi-level branch well system.
Article
Thermodynamics
Longxin Zhang, Songtao Wang, Site Hu
Summary: This investigation reveals the influence of tip leakage flow on the modern transonic rotor and finds that the increase of tip clearance size leads to a decline in rotor performance. However, an optimal tip clearance size can extend the rotor's stall margin.
Article
Thermodynamics
Kristian Gjoka, Behzad Rismanchi, Robert H. Crawford
Summary: This paper proposes a framework for assessing the performance of 5GDHC systems and demonstrates it through a case study in a university campus in Melbourne, Australia. The results show that 5GDHC systems are a cost-effective and environmentally viable solution in mild climates, and their successful implementation in Australia can create new market opportunities and potential adoption in other countries with similar climatic conditions.
Article
Thermodynamics
Jianwei Li, Guotai Wang, Panpan Yang, Yongshuang Wen, Leian Zhang, Rujun Song, Chengwei Hou
Summary: This study proposes an orientation-adaptive electromagnetic energy harvester by introducing a rotatable bluff body, which allows for self-regulation to cater for changing wind flow direction. Experimental results show that the output power of the energy harvester can be greatly enhanced with increased rotatory inertia of the rotating bluff body, providing a promising solution for harnessing wind-induced vibration energy.