Assessment of long-term energy efficiency improvement and greenhouse gas emissions mitigation potentials in the chemical sector

Talaei, Alireza; Ahiduzzaman, Md.; Kumar, Amit

doi:10.1016/j.energy.2018.04.032

Cited by 45 publications

(17 citation statements)

References 29 publications

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“…Regarding the role of energy intensity, a reduction in energy intensity or increase in energy efficiency is considered a major part of the solution to reducing CO 2 emissions (Nasir et al 2021;Neagu 2019;Talaei et al 2018;Worrell et al 2001). Nasir et al (2021) show that energy intensity significantly lowers CO 2 emissions in Australia.…”

Section: Brief Literature Reviewmentioning

confidence: 99%

Environmental quality and the role of economic policy uncertainty, economic complexity, renewable energy, and energy intensity: the case of G7 countries

Chu

2021

Environ Sci Pollut Res

104

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This study explores the environmental impacts of economic policy uncertainty, economic complexity, renewable energy, and energy intensity on the countries in the Group of Seven (G7) countries. To this end, the study employs fully modified ordinary least squares and a fixed effects model with Driscoll and Kraay, Rev Econ Stat 80:549-560, (1998) robust standard errors and a panel dataset from 1997 to 2015. The findings demonstrate a long-term relationship between the variables of interest and carbon dioxide emissions and the ecological footprint. Specifically, high energy intensity increases environmental pollution while high economic policy uncertainty and renewable energy reduces environmental degradation. The environmental Kuznet curve of economic complexity and environmental quality holds for G7 countries. Moreover, economic policy uncertainty strongly moderates the environmental effect of renewable energy, economic complexity, and energy intensity. Specifically, although economic policy uncertainty amplifies the beneficial environmental effects of renewable energy and economic complexity, it enlarges the harmful effect of energy intensity on environmental quality. These empirical outcomes allow us to draw useful implications for policy makers to mitigate the environmental degradation.

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Section: Brief Literature Reviewmentioning

confidence: 99%

Environmental quality and the role of economic policy uncertainty, economic complexity, renewable energy, and energy intensity: the case of G7 countries

Chu

2021

Environ Sci Pollut Res

104

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“…Most research nd that renewable energy consumption reduces carbon dioxide emissions and plays an important role in achieving sustainable development goals (Adams and Acheampon, 2019;Khan et al, 2020;Vural, 2020;Swain and Karimu, 2020;Wang et al, 2020). On the role of energy intensity, lowering the energy intensity or increasing the energy e ciency is considered a major solution to reducing carbon dioxide emissions (Neagu, 2019;Talaei et al, 2018;Worrell et al, 2001).…”

Section: Brief Literature Reviewmentioning

confidence: 99%

Environmental quality and the role of economic policy uncertainty, economic complexity, renewable energy, energy intensity: the case of G7 countries

Chu

2021

Preprint

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This study explores the environmental impacts of economic policy uncertainty, economic complexity, renewable energy, and energy intensity for G7 countries. To this end, the study employs Fully Modified Ordinary Least Squares and fixed effect model with Driscoll and Kraay (1998) robust standard errors for a panel dataset from 1997 to 2015. The findings demonstrate a long-term relationship between interested variables and carbon dioxide emissions and ecological footprint. Specifically, high energy intensity propels environmental pollution while economic policy uncertainty and renewable energy prove effective in controlling environmental degradation. The environmental Kuznet curve of economic complexity and environmental quality holds for G7 countries. Moreover, economic policy uncertainty strongly moderates the environmental effect of renewable energy, economic complexity, and energy intensity. While economic policy uncertainty amplifies the beneficial environmental effects of renewable energy and economic complexity, it magnifies the harmful effect of energy intensity on environmental quality. These empirical outcomes allow us to draw useful implications for policymakers to mitigate the environmental degradation.

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“…The production process of petrochemical plant mainly concludes transportation, heat exchange, chemical reaction and separation of material involving regulation, control and security of system. All production segments of petrochemical plant have energy usage and consumption, and main energy used concludes fuel gas, electricity, steam and water, and the main process parameters involved conclude pressure, temperature and flow [23]. Efficient and accurate energy saving diagnosis can provide favorable basis for energy saving practice of petrochemical plant.…”

Section: Energy Saving Principle Of Petrochemical Plantmentioning

confidence: 99%

Energy saving diagnosis model of petrochemical plant based on intelligent curvelet support vector machine

et al. 2021

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The energy and resources saving has become a major task of petrochemical enterprises, it is necessary to construct the energy saving diagnostic system for understand the real time operation information of petrochemical plant and provide theoretical basis for taking energy saving measures. The energy saving diagnosis process of petrochemical plant based on twin Curvelet support vector machine optimized by hybrid glowworm swarm algorithm is designed. The Curvelet kernel function is constructed based on curvelet transform to establish theory model of twin curvelet support vector machine. In order to improve the prediction precision of the twin curvelet support vector machine, the hybrid glowworm swarm optimization algorithm is constructed based on simulated annealing simulation to optimize the parameters of the twin Curvelet support vector machine. Finally, a petrochemical plant is used as research object to carry out diagnosis simulation analysis, and results showed that the proposed prediction model can effectively improve diagnostic effectiveness of the energy saving effect of petrochemical plant.

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Assessment of long-term energy efficiency improvement and greenhouse gas emissions mitigation potentials in the chemical sector

Cited by 45 publications

References 29 publications

Environmental quality and the role of economic policy uncertainty, economic complexity, renewable energy, and energy intensity: the case of G7 countries

Environmental quality and the role of economic policy uncertainty, economic complexity, renewable energy, and energy intensity: the case of G7 countries

Environmental quality and the role of economic policy uncertainty, economic complexity, renewable energy, energy intensity: the case of G7 countries

Energy saving diagnosis model of petrochemical plant based on intelligent curvelet support vector machine

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