Energy Efficiency Evaluation and Optimization of Industrial Park Customers Based on PSR Model and Improved Grey-TOPSIS Method

Zhao, Huiru; Li, Jingxuan

doi:10.1109/access.2021.3081142

Cited by 9 publications

(4 citation statements)

References 28 publications

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“…The pressure-state-response (PSR) model was used to determine the urban situation during flood disaster cycles [41], and the social-economic-natural complex ecosystem (SENCE) was adopted to show the complex ecosystem of cities. Both of these can systematically describe and analyze the interaction between society and the environment [42][43][44]. Because of global climate change and the frequent occurrence of various natural disasters and social events, some scholars have already begun to explore the applicability of the PSR model in disaster management, such as exploring the factors affecting the eco-environment during earthquakes and flooding [17,45] or assessing the risk for coal flood water inrush [46].…”

Section: Framework Establishmentmentioning

confidence: 99%

Evaluating Urban Flood Resilience within the Social-Economic-Natural Complex Ecosystem: A Case Study of Cities in the Yangtze River Delta

Zhu

Feng

Shao

2023

Land

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With global climate change and rapid urbanization, it is critical to assess urban flood resilience (UFR) within the social-economic-natural complex ecosystem in dealing with urban flood disasters. This research proposes a conceptual framework based on the PSR-SENCE model for evaluating and exploring trends in urban flood resilience over time, using 27 cities in the Yangtze River Delta (YRD) of China as case studies. For the overall evaluation, a hybrid weighting method, VIKOR, and sensitivity analysis were used. During that time, UFR in the YRD region averaged a moderate level with an upward trend. This distinguishes between the resilience levels and fluctuation trends of provinces and cities. Jiangsu, Zhejiang, and Anhui provinces all displayed a trend of progressive development; however, Shanghai displayed a completely opposite pattern, mainly because of resilience in the state dimension. During that time, 81.41% of cities exhibited varying, upward trends in urban flood resistance, with few demonstrating inverse changes. Regional, provincial, and city-level implications are proposed for future UFR enhancement. The research contributes to a better understanding of the urban complex ecosystem under flood conditions and provides significant insights for policymakers, urban planners, and practitioners in the YRD region and other similar flood-prone urban areas.

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Section: Framework Establishmentmentioning

confidence: 99%

Evaluating Urban Flood Resilience within the Social-Economic-Natural Complex Ecosystem: A Case Study of Cities in the Yangtze River Delta

Zhu

Feng

Shao

2023

Land

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“…The grey relational TOPSIS method calculates the relative closeness of each scheme by constructing an index evaluation system and then comprehensively ranks and evaluates each scheme to select a better one. It is widely used in the decision-making of many fields (Yu et al, 2021;Zhao and Li, 2021;Hao et al, 2020). Therefore, on the basis of the decentralized buffer, we adjust the monitoring reference points according to the grey relational relative closeness calculated by the grey TOPSIS method, which can comprehensively reflect the correlation and uncertainty of each drum activity to provide more rounded decision-making information.…”

Section: Literature Reviewmentioning

confidence: 99%

“…It is widely used in the decision-making of many fields (Yu et al. , 2021; Zhao and Li, 2021; Hao et al. , 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Adaptive capacity constraint buffer monitoring of the multi-project system based on the relevance of drum activities

Zhang

Han

2022

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PurposeThe activities using drum resources restrict the operation of multi-project systems. However, existing monitoring methods are not suitable for the characteristics of drum activities in the multi-project system. The authors therefore propose an adaptive capacity constraint buffer monitoring model based on the attributes of drum activities, aiming to build a high-efficiency progress control framework for multiple projects.Design/methodology/approachConsidering the attributes and the interrelationship of drum activities, the monitoring reference points are determined on the basis of decentralized buffers. The authors next set action thresholds according to the relationship between the drum activities' interval margin and buffer consumption, and then the corresponding monitoring measures are taken.FindingsThe empirical results show that, compared to the classic methods, the proposed approach can effectively monitor the progress of the drum plan and realize the dual optimization of multi-project duration and cost.Research limitations/implicationsThe buffer consumption at the follow-up monitoring time point is neglected when determining the action thresholds. Prediction methods can be introduced to present more all-sided monitoring.Practical implicationsThis paper fulfils the dual optimization of multi-project duration and cost. It provides a reference guide for project managers.Originality/valueA capacity constraint buffer monitoring method suitable for a multi-project environment is produced.

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“…Aiming at the above problems, this paper proposes an energy efficiency evaluation method based on improved grey TOPSIS [6]. For industrial users, it first proposes three indexes, namely, energy stability, energy consumption per unit output value and carbon emission per unit output value, to construct an energy efficiency index system.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency Assessment of Industrial Users Based on Improved TOPSIS Grey Correlation Analysis

Wu¹,

Ji²,

Chen³

et al. 2023

HSET

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In order to improve the energy efficiency of industrial users and evaluate the energy efficiency level before optimizing the energy efficiency of enterprises, an energy efficiency evaluation method based on improved TOPSIS grey relational analysis was proposed to find the weak links in energy use. Firstly, three indexes of energy stability, energy consumption per unit output and carbon emission per unit output are selected to construct the energy efficiency index system. Secondly, the index weights are calculated by entropy weight method, and the energy efficiency levels of industrial users are classified, which can be used by the power grid to implement differentiated electricity prices for high-energy consumption enterprises. Last example city 10 typical energy-intensive enterprise users used improved TOPSIS grey correlation analysis method for evaluation of energy efficiency, energy consumption per unit output value is obtained by analysis of the index weight is the largest, the better the performance of the index, the higher the comprehensive evaluation results of energy efficiency, and finally the method compared with other evaluation methods to verify the effectiveness of the proposed method in this paper.

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Energy Efficiency Evaluation and Optimization of Industrial Park Customers Based on PSR Model and Improved Grey-TOPSIS Method

Cited by 9 publications

References 28 publications

Evaluating Urban Flood Resilience within the Social-Economic-Natural Complex Ecosystem: A Case Study of Cities in the Yangtze River Delta

Evaluating Urban Flood Resilience within the Social-Economic-Natural Complex Ecosystem: A Case Study of Cities in the Yangtze River Delta

Adaptive capacity constraint buffer monitoring of the multi-project system based on the relevance of drum activities

Energy Efficiency Assessment of Industrial Users Based on Improved TOPSIS Grey Correlation Analysis

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