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Research Article
Impact of Energy Consumption from Renewable Energy Sources on Economic Growth: Evidence from Nigeria
Ebube Orisa*
,
Anthony Ibe,
Alwell Nteegah
Issue:
Volume 13, Issue 4, December 2024
Pages:
138-151
Received:
25 August 2024
Accepted:
18 September 2024
Published:
29 October 2024
Abstract: This study examines the impact of renewable energy consumption and electricity tariff on the economy of Nigeria. The study considers the casual relationship and vector decomposition between various renewable energy sources (solar, hydro and biomass), electricity price and Gross domestic product (GDP) using an unrestricted vector error correction model (VECM). In addition, other robust econometric techniques were applied to the time series of GDP, electricity price and energy consumption from renewable energy sources from 1980 to 2021. The findings indicated a 1% increase in biomass consumption causes increase in GDP by 0.14% in the long-run. Mixed result in the short-run with the difference in the log value of the current lag of solar and bio electricity consumption having positive impact on GDP. The coefficient of the Error Correction Model (ECM) was negative (-0.49) and statistically significant indicating that short-run change from the long-run equilibrium is corrected by 49% annually. Unidirectional causality from GDP to solar electricity consumption. Solar, hydro, biomass and electricity price explain 1.4%, 0.4% 2.2% & 12% respectively of fluctuations in GDP in the long-run. The study results demonstrates that regulations need to be put in place to control the adverse effect of consuming biomass on the environment which could cause mixed impact on gross domestic product in the short run whereas, policies to foster development of solar projects could impact positively on GDP and alleviate the electricity supply deficiency in Nigeria.
Abstract: This study examines the impact of renewable energy consumption and electricity tariff on the economy of Nigeria. The study considers the casual relationship and vector decomposition between various renewable energy sources (solar, hydro and biomass), electricity price and Gross domestic product (GDP) using an unrestricted vector error correction mo...
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Research Article
The Role and Prospect of Emission Trading in the Optimal Allocation of Environmental Resources
Haixu Zhang,
Chunlai Jiang,
Jinying Huang,
Yaolin Wang,
Zhiguo Duan*
Issue:
Volume 13, Issue 4, December 2024
Pages:
152-159
Received:
22 October 2024
Accepted:
13 November 2024
Published:
21 November 2024
Abstract: The emission trading system is an important institutional innovation which effectively uses market mechanisms to improve the efficiency of environmental governance, and plays an important role in exploiting the potential of emission reduction for government and enterprise, which would realize the optimal allocation of environmental resources. The study analyses the design mechanism of emission trading system, the crucial parts including verification of emission rights, paid use for resources, emission trading, reserve and control mechanism, as well as management and incentive policies. Thereby, the current problems of emission trading system in China have been found out, including the deficiency of top-level design, ineffective cohesive mechanism between different systems, inactive trading market, and insufficient supporting policy guarantee policy. Based on the development trend of national policies and the practical problems faced by emission trading, the study proposes four prospects for the emission trading efforts. First, the issuance of guidance documents for deepening the emission trading system at the national level is an important foundation for the development of the emission trading system. Second, convergence between the emission rights trading and the emission permit system is the inevitable trend of the development of the system. Third, working on promoting the construction of a trading system dominated by market mechanisms is the focus of the optimal allocation of resources and environment. Last, establishing and improving relevant supporting mechanisms is an important guarantee for the stable development of the emission rights trading market and the efficient allocation of environmental resources.
Abstract: The emission trading system is an important institutional innovation which effectively uses market mechanisms to improve the efficiency of environmental governance, and plays an important role in exploiting the potential of emission reduction for government and enterprise, which would realize the optimal allocation of environmental resources. The s...
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Research Article
Experimental Study on Ultrasonic Treatment of Oilfield Produced Water
Shan Qiaoli*,
Zhang Fan,
Shen Wei,
Xu Junmin
Issue:
Volume 13, Issue 4, December 2024
Pages:
160-165
Received:
3 September 2024
Accepted:
28 November 2024
Published:
7 December 2024
Abstract: The quality of produced water in oil and gas field is complex and difficult to treat. Ultrasonic water treatment technology has a good effect on degradation of organic polymers and demulsification, but its application is limited due to energy consumption and other reasons, and it has not been industrialized in oil and gas field water treatment. Through ultrasonic mechanism research, water quality characteristics analysis and a large number of small simulation tests, the test results show that for complex produced water with high salt content, high turbidity and high emulsification, under the ultrasonic frequency of 39.5kHz, ultrasonic time of 30min and operation conditions of 25°C, the oil removal effect can be achieved at 66W power. The oil content is reduced from 77.9mg/L in the inlet water to 1.87mg/L in the outlet water, and the oil removal rate can reach more than 95% to meet the expected demand. In the case of the mature development of green electricity technology, this study provides a new technical idea for the efficient treatment of produced water in oil and gas fields, and provides a basic research basis for the industrial application of ultrasonic treatment process and the collaborative application of combined with other processes.
Abstract: The quality of produced water in oil and gas field is complex and difficult to treat. Ultrasonic water treatment technology has a good effect on degradation of organic polymers and demulsification, but its application is limited due to energy consumption and other reasons, and it has not been industrialized in oil and gas field water treatment. Thr...
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Research Article
State of Charge-State of Health Collaborative Estimation of the Lithium-ion Battery Based on an Innovative Hybrid Optimization Network
Issue:
Volume 13, Issue 4, December 2024
Pages:
166-177
Received:
28 October 2024
Accepted:
28 November 2024
Published:
7 December 2024
Abstract: Lithium-ion battery is one of the core components of electric vehicles, and the state of charge-state of health estimation results of it is the key to restrict the safe and efficient use of it, which then affects the comprehensive performance of electric vehicles. However, SOC and SOH of lithium-ion batteries have a coupling relationship, and have fast and slow time-varying characteristics respectively, with inconsistent time scales. Hence, it is necessary to carry out SOC-SOH collaborative estimation and select a suitable time scale, which can ensure the accuracy and robustness of SOC-SOH collaborative estimation without consuming too much calculation cost. This article proposed an innovative hybrid optimization network to improve the ability of the analysis and feature extraction capability of the input sequences for precise SOC estimation. This hybrid network fully combines the advantages of convolutional neural network, bidirectional long short-term memory, attention mechanism. Additionally, kepler optimization algorithm is applied for hyperparameter optimization of the hybrid network for the first time according to our knowledge, and SOH is also estimated accurately for more ideal SOC estimation results. The experimental results of lithium-ion batteries indicate that the innovative hybrid optimization network can reach ideal SOC estimation results under different working conditions and ambient temperatures. The mean absolute error and root mean square error are 0.55% and 0.72% respectively, only about a third of the SOC estimation results without considering SOH, which means that SOC-SOH collaborative estimation are very essential. Hence, this article is of great significance for the development of smarter battery management system.
Abstract: Lithium-ion battery is one of the core components of electric vehicles, and the state of charge-state of health estimation results of it is the key to restrict the safe and efficient use of it, which then affects the comprehensive performance of electric vehicles. However, SOC and SOH of lithium-ion batteries have a coupling relationship, and have ...
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