Research characteristics and trends of power sector carbon emissions: a bibliometric analysis from various perspectives

Liang, Ke; Li, Wenjie; Wen, Junhui; Ai, Weikun; Wang, Jiabin

doi:10.1007/s11356-022-22504-z

Cited by 3 publications

(7 citation statements)

References 71 publications

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“…As shown in Equation (1), the relationship is between CO2 emissions (C) and total population (POP), per capita GDP, energy intensity (EI), and carbon emission coefficient (η) [42]. This study mainly considers carbon emission reduction in PCPs, and expands the "Kaya identity" by introducing government management, economy, market, technical level, population, and so on, and puts forward a calculation formula for carbon emission reduction in power construction projects, as shown in Equation (2). Carbon emission reduction in PCPs (C′) was defined as the product of the scale of the PCP (SPCP) and the carbon emission reduction coefficient (η′).…”

Section: Basic Mathematical Modelmentioning

confidence: 99%

“…The main causal feedback loop includes: (1) The increase in R&D investment has promoted the development of energy-saving and carbon reduction technologies, increased the carbon emission reduction in PCPs, reduced the expenditure on carbon emission control, increased GDP, increased fiscal revenue, and helped the government further increase R&D investment, forming a positive feedback cycle [5,46,47]. (2) The improvement of PCL has promoted the standardized construction level of PCPs, reduced construction waste, improved construction efficiency, and thus reduced carbon emissions, reduced expenditure on carbon emission control, increased GDP, increased fiscal revenue, and helped the The main causal feedback loop includes: (1) The increase in R&D investment has promoted the development of energy-saving and carbon reduction technologies, increased the carbon emission reduction in PCPs, reduced the expenditure on carbon emission control, increased GDP, increased fiscal revenue, and helped the government further increase R&D investment, forming a positive feedback cycle [5,46,47]. (2) The improvement of PCL has promoted the standardized construction level of PCPs, reduced construction waste, improved construction efficiency, and thus reduced carbon emissions, reduced expenditure on carbon emission control, increased GDP, increased fiscal revenue, and helped the government further increase R&D investment, improve prefabricated construction technology, and form a positive feedback cycle [48][49][50][51].…”

Section: Sd Modelmentioning

confidence: 99%

“…The power sector plays a significant role in climate change. The global carbon emissions of the power sector reached 13 billion tons, accounting for 38% of the total carbon emissions related to energy consumption, and they have continued to grow in recent years [1,2]. As the world's largest carbon emitter, China's power sector accounts for a high share of carbon emissions [3].…”

Section: Introductionmentioning

confidence: 99%

“…The main contributions of the research are as follows: (1) It establishes an SD model of carbon emission reduction in PCPs and explore the carbon reduction mechanism from a dynamic perspective. (2) The key influencing variables of the carbon emission reduction system for PCPs are proposed. (3) It strengthens the top-level design to provide targeted suggestions for the carbon emission reduction strategies for PCPs.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Simulation of Carbon Emission Reduction in Power Construction Projects Using System Dynamics: A Chinese Empirical Study

Li,

Shi,

Liu

et al. 2023

Buildings

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Power construction projects (PCPs) consume a large amount of energy and contribute significantly to carbon emissions. There is relatively little research on carbon emission reduction in PCPs, especially in predicting carbon emission reduction from a dynamic perspective. After identifying the influencing factors that promote the carbon emission reduction effect of PCPs, this study adopted a dynamic analysis method to elucidate the relationship between the variables. A quantitative carbon emission reduction system for PCPs with 51 variables was established using the system dynamics model, and the system simulation was performed using Vensim PLE software. Finally, a sensitivity analysis was conducted on four key factors: R&D investment, the prefabricated construction level, the scale of using energy-saving material, and the energy efficiency of transmission equipment. The results show that: (1) The reduction in carbon emissions from PCPs continues to increase. (2) R&D investment is the most significant factor for improving the carbon emission reduction in PCPs. (3) The value of the above four influencing factors should be increased within a reasonable range so that the four factors can work better to promote the carbon emission reduction effect of PCPs. This paper creatively proposes a dynamic prediction model for carbon emission reduction in the PCP, and the research results provide the scientific basis for government supervision and enterprise decision-making.

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Section: Basic Mathematical Modelmentioning

confidence: 99%

Section: Sd Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simulation of Carbon Emission Reduction in Power Construction Projects Using System Dynamics: A Chinese Empirical Study

Li,

Shi,

Liu

et al. 2023

Buildings

View full text Add to dashboard Cite

show abstract

“…The power sector has been playing a non-negligible role in global climate change. Global carbon emission from the power sector amounted to as much as 13 billion tons, accounting for 38% of the total carbon emissions related to energy consumption, and in recent years there is still a growing trend [1,2]. With the acceleration of China's industrialization and urbanization, the power sector is developing rapidly, and the number of power construction projects (PCPs) is increasing dramatically [3,4].…”

Section: Introductionmentioning

confidence: 99%

Promoting the Low-Carbon Transition of Power Construction Projects under MRV: An Evolutionary Game Analysis

Li,

Zhu,

Song

et al. 2023

Buildings

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The actual situation of carbon-emission reduction in China’s power sector has not yet achieved the expected benefits. The rent-seeking behavior of participants in power construction projects (PCPs) hinders the realization of low-carbon benefits. It is necessary to explore the behavioral strategies of the various participants in the low-carbon transition of PCPs. This paper creatively constructs an evolutionary game model of PCPs’ participants from the perspective of MRV (monitoring, reporting, and verification) and introduces the influence of the public to provide a comprehensive analysis of strategic equilibrium points. Through numerical simulations with MATLAB R2021a software, this paper explores the strategic choices of participants in different situations and gives relevant inferences and proofs. The results show that the grid company dominates at the initial stage and promotes participants to regulate behaviors. Under the premise of satisfying the system-stability requirements, setting the growth rate of the grid company’s punishments to 100% can enhance the willingness for strict supervision, while the growth rate of the supervision costs to 200% significantly decreases the probability of strict supervision. With the integration of MRV and PCPs, participants spontaneously fulfill the carbon-emission-reduction tasks. Reasonable control of input costs can effectively avoid the occurrence of rent-seeking behavior. In addition, this paper sets the public-influence growth rate at 200% and finds that the public plays a greater role in driving participants to fulfill responsibilities. Based on the results, a low-carbon transition mechanism for PCPs under the MRV system is proposed by considering several dimensions, which provides suggestions for participants to fulfill carbon-reduction responsibilities.

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Black Soldier Fly Larvae (Hermetia illucens) for Biodiesel and/or Animal Feed as a Solution for Waste-Food-Energy Nexus: Bibliometric Analysis

2022

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In this research, an emerging study of the utilization of black soldier fly (BSF, Hermetia illucens) larvae for the preparation of biodiesel (and organic waste treatment) and the generation of alternative feed for improved food production was mapped bibliometrically from the Scopus database. BSF is a promising biological agent for tackling the waste-food-energy (WFE) nexus, which is a problematic vicious cycle that may threaten Earth’s sustainability, hence its emergence. With its short life cycle, ability to consume organic waste equal to its own weight on a daily basis, and ability for conversion to larvae with a high protein and lipid content, BSF larvae is the perfect choice as a one-step solution of the WFE nexus. To further perfect the research of BSF for the WFE nexus, this bibliometric analysis, and the citation evolution profile, were carried out with the objectives of characterizing the progress of publications in the last 10 years (2011–2022) in order to determine future research directions in this field, identify the top publications for wider reach to the public, and identify productive authors and leading countries to visualize opportunities for future collaborations.

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Research characteristics and trends of power sector carbon emissions: a bibliometric analysis from various perspectives

Cited by 3 publications

References 71 publications

Simulation of Carbon Emission Reduction in Power Construction Projects Using System Dynamics: A Chinese Empirical Study

Simulation of Carbon Emission Reduction in Power Construction Projects Using System Dynamics: A Chinese Empirical Study

Promoting the Low-Carbon Transition of Power Construction Projects under MRV: An Evolutionary Game Analysis

Black Soldier Fly Larvae (Hermetia illucens) for Biodiesel and/or Animal Feed as a Solution for Waste-Food-Energy Nexus: Bibliometric Analysis

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