Round 1

Reviewer 1 Report

I have reviewed your paper titled "Factor Decomposition Analysis of Power Demand Growth in Beijing City from 1990 to 2021 using LMDI Method". Overall, I found the study to be informative and insightful. Your use of the LMDI factor decomposition method to analyze the factors influencing power demand growth in Beijing City over the past three decades was a commendable effort. However, I would like to make a few recommendations to improve the manuscript. Firstly, it would be helpful to provide a more detailed description of the LMDI method and its application in this study. This will help readers understand the methodology and its limitations. Secondly, while your conclusions are based on the results of the factor decomposition analysis, it would be beneficial to provide more comments and explanations of your findings. This would make it easier for readers to comprehend the significance of your results and their implications. Finally, the text on the figures should be clearer and more legible. It is recommended to use black text instead of light colors to ensure that the figures are easily readable. I hope you find these recommendations helpful and look forward to seeing a revised version of the manuscript.

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Reviewer 2 Report

This research is very interesting, but will be improved using a correct multivariable analysis to specify sociocultural behaviors in the time.

Is very important describe better this case of study, to determine if is simulate to other cities or regions.

In addition is important describe a more detailes Design of Experiments.

Using a more detail future research including the future limitations to this study.

Is very important using a comparative table with this data associated with this research, for example consider the increase of electrical vehicles as in:

Behzad Kazemi, Abdollah Kavousi-Fard, Morteza Dabbaghjamanesh, Mazaher Karimi:
IoT-Enabled Operation of Multi Energy Hubs Considering Electric Vehicles and Demand Response. IEEE Trans. Intell. Transp. Syst. 24(2): 2668-2676 (2023)

and

Predict Energy Charging Points to Electric Vehicles in a Smart City Using a Novel Metaheuristic

Daniel Rivera-Rojo (Autonomous University of Juarez City https://www.igi-global.com/chapter/predict-energy-charging-points-to-electric-vehicles-in-a-smart-city-using-a-novel-metaheuristic/227180

 

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Reviewer 3 Report

This interesting study aimed to examine an understanding of the main factors influencing power demand in Beijing. The authors used Kaya-equation and LMDI model to decompose the factors influencing the change of electricity consumption in three industries and residents in Beijing from 1990 to 2021 with aim to quantify the contribution of various factors in the change of power demand.  The aim of the analysis was identified the key factors that promoting or inhibiting electricity demand.

The authors of this study aimed to examine on the base decomposed analysis examine the impact that the influencing factors of power demand in Beijing.

The present study tried to explore the impact factors such as the power consumption, GDP, and resident population of Beijing from 1990 to 2021 on the power demand. The results showed that the consumption of electric power would increase if Beijing’s economy and urbanization continue keep developing, and optimize industry structure, improving the efficiency of electric energy utilization and adopting clean power energy are the main approach to make Beijing’s consumption of electric power decrease.

The authors used to collect data in this study the data of total social electricity consumption, industrial electricity consumption, residents' electricity consumption, regional GDP, sub-industrial GDP and total population in Beijing from 1990 to 2021. All data are from Beijing Statistical Yearbook 2022. This paper uses Kaya-equation and LMDI model to decompose the factors influencing the change of electricity consumption. I consider the sample size to be sufficient for the representativeness to generalise the results in the national level but not in global scale.

The discussion is not a part of the paper. It would be good to add a discussion to the paper and compare the results with the findings of other studies dealing with similar issues.

In the paper is not the limitations of the results reported by the authors. I think it would be beneficial to add limitations of the study to improve the quality of the paper.

The paper I evaluate positively because the main factors influencing power demand in Beijing were investigated. The results of the study emphasize the importance to improve the efficiency of electric energy utilization and adopting clean power energy are the main approach to make Beijing’s consumption of electric power decrease.                                                

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Reviewer 4 Report

Summary:

In the manuscript titled “Analysis on the influencing factors of power demand in Beijing based on LMDI model”, the author analyzes the contribution of various factors in the change of power demand to identify the key factors that promote or inhibit electricity demand. The author concludes that Beijing's three industries and residential sector continue to experience rising power demand, with the expansion of the economy serving as the primary driver of this trend. I think the manuscript has merits and I advise performing revisions to improve the manuscript before publication.

Revisios needed:

1)      Introduction – This section needs more work to provide the reader with more context on why this work is important and support the reasons by quantitative metric. Considering adding year-over-year percent increase in power demand across industry and residential sector.

2)      Line 67 – Regarding AMDI, consider providing more information along with the advantages and disadvantages of AMDI

3)      Line 69 – consider mentioning key highlights of cited paper numbers [11] and [12] to increase the clarity around the referenced articles’ summary

4)      Section 3.2 – considering all the factors that affect power demand and then describe the reasoning behind choosing the selected 5 factors in this study

5)      Section 4.2.2 – for worldwide readers it would benefit the paper to describing what is the implication/inference of the policy: "to relieve Beijing of functional non-essential to its role as China’s capital"

Small suggestions:

1)      Abstract – Consider adding a quantitative problem statement and conclusion in the abstract. For example, state what is the growth rate of power demand and state the finding on the most to least influential factor for power demand along with percent influence to improve the clarity.  

2)      Lines 12 and 14- Consider mentioning the full form of GDP and LMDI as it’s the first time mentioning the acronyms in the manuscript.

3)      Line 87-92 Consider adding the numerical citation to the paragraph.

4)      Section 4.2.2 – for worldwide readers it would benefit the paper to describing what is the implication/inference of the policy: "to relieve Beijing of functional non-essential to its role as China’s capital"

5)      Section 2.1 – add description/ meaning of primary, secondary, and tertiary industry for the reader.

6)      Figure 8 – consider stating what DeltaEq and DeltaEr stand for in the caption  

7)      Line 358 – consider clarifying what industrial structure is being referred to here.

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Reviewer 5 Report

Comments are in the attachment.

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Round 2

Reviewer 4 Report

Thank you for addressing the comment and improving the manuscript. I am satisfied with the changes and consider this manuscript ready for publication.