Evaluating technology innovation capabilities of companies based on entropy- TOPSIS: the case of solar cell companies

Yuan, Xiaodong; Song, Weiling

doi:10.1007/s10799-021-00344-6

Cited by 13 publications

(3 citation statements)

References 58 publications

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“…Applying the technique could find the optimal ultrasonic pretreatment parameters from all the drying experiments according to some given criteria. The product of raw data and coupling weight was used as a standardized matrix, and according to the calculation steps of TOPSIS method (Yuan & Song, 2022), the distance Φ + and Φ − between different drying processes and the optimal scheme and the worst scheme are obtained. Finally, the fitting degree Φ between the evaluation scheme and the positive ideal solution is obtained.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of the effect of ultrasonic pretreatment on vacuum far‐infrared drying characteristics and quality of Angelica sinensis based on entropy weight‐coefficient of variation method

Zang

Huang

Zhang

et al. 2023

Journal of Food Science

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This study investigated the effects of ultrasonic pretreatment time, ultrasonic power, and ultrasonic frequency on the drying characteristics and physicochemical quality of Angelica sinensis, and the physicochemical quality content was selected as the evaluation index, the entropy weight-coefficient of variation method was used to calculate the coupling weight and comprehensive score, and the weighted Technique for Order Preference by Similarity to Ideal Solution method was used to verify the evaluation model. The results showed that the drying rate of materials after ultrasonic treatment was increased by 22.48% to 93.26%, and the effective moisture diffusivity was in the range between 4.6831 × 10 −9 and 7.0722 × 10 −9 m 2 /s, and the drying activation energy was 31.90 kJ/mol.The energy consumption decreased by 5.75% to 25.88%. Compared with the samples without the ultrasonic pretreatment, the chlorogenic acid, ferulic acid, senkyunolide H, senkyunolide I, 3-butenylphthalide, ligustilide, polysaccharides, total phenolic content, total flavonoid content, and antioxidant capacity of A. sinensis were increased after ultrasonic treatment, and the color, rehydration ratio, shrinkage ratio, and microstructure of dried products were improved significantly (p < 0.05). However, the quality of the dried products decreased after ultrasonic treatment for 40 min with an ultrasonic frequency of 60 kHz, and the internal tissue structure was destroyed. In summary, ultrasonic pretreatment at low frequency and high power can significantly increase the drying rate and improve the physicochemical quality of dried products.

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Section: Methodsmentioning

confidence: 99%

Evaluation of the effect of ultrasonic pretreatment on vacuum far‐infrared drying characteristics and quality of Angelica sinensis based on entropy weight‐coefficient of variation method

Zang

Huang

Zhang

et al. 2023

Journal of Food Science

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show abstract

“…In addition to this, this paper uses the entropy-based TOPSIS method when making multi-objective decisions on multiple scenarios [38][39][40][41][42][43][44][45][46][47][48]. The methodology used has the following advantages when performing the analysis: The entropy weight method can determine the weight of the indicators by calculating the information entropy of each indicator, and then provide a basis for multi-objective evaluation.…”

Section: At the Window Performance Levelmentioning

confidence: 99%

Energy Performance Analysis and Study of an Office Building in an Extremely Hot and Cold Region

Liu,

Wang,

Huang

et al. 2024

Sustainability

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China is committed to reaching peak carbon by 2030 and carbon neutrality by 2060. The goals of reducing energy consumption and building a “beautiful China” are being urgently pursued in China. The building studied in this paper is located in the city of Turpan, where the problem of excessive energy use among buildings is significant due to the region’s hot summers and cold winters. Additionally, the fact that the office building studied in this paper has an east–west orientation is significant: the building’s main façade is oriented to the west, comprising a large area of single-layer glass curtain wall. Based on this, this paper proposes optimization strategies from two perspectives of renovation and new construction. Four design options are proposed at the retrofit level: glazed circular curtain wall; glazed enclosed curtain wall; west-facing double-glazed curtain wall circulation combined with south-facing light from the east; recycling of windows on the inside of the exterior glass curtain wall. These suggestions focus on retrofitting the glass curtain wall on the west elevation of the building. Two design options are proposed at the new-build level: west-facing south-oriented light and west-facing north-oriented light. These suggestions were primarily built around the idea of changing the orientation of the windows on the west elevation. The results show that the optimal solution is to implement the west-facing double-glazed curtain wall circulation combined with south-facing light from the east. This program shows a 64.14% reduction in heating energy consumption, a 77.12% reduction in cooling energy consumption, and a 69.67% reduction in total energy consumption. The above research has improved the deficiencies in the performance-based energy efficiency retrofit of office buildings in the region and provided new ideas and suggestions for policymakers and designers to build energy-efficiency retrofits in the early stages.

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“…In the decision analysis section, this paper uses the entropy-based Topsis method [84][85][86][87][88][89][90][91][92][93] when making decisions on the optimization scheme. The method has the following advantages: The entropy weighting method can confirm the weighting information of the target indicators by analyzing the entropy value of the target indicators of each scenario, which in turn can provide a reference for the multi-objective assessment later.…”

Section: Decision Analysismentioning

confidence: 99%

Prediction and Optimization Analysis of the Performance of an Office Building in an Extremely Hot and Cold Region

Liu,

Wang,

Huang

2024

Sustainability

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The White Paper on Peak Carbon and Carbon Neutral Action 2022 states that China is to achieve peak carbon by 2030 and carbon neutrality by 2060. Based on the “3060 dual-carbon” goal, how to improve the efficiency of energy performance is an important prerequisite for building a low-carbon, energy-saving, green, and beautiful China. The office performance building studied in this paper is located in the urban area of Turpan, where the climate is characterized by an extremely hot summer environment and a cold winter environment. At the same time, the building is oriented east–west, with the main façade facing west, and the main façade consists of a large area of single-layer glass curtain wall, which is affected by western sunlight. As a result, there are serious problems with the building’s energy consumption, which in turn leads to excessive carbon emissions and high life cycle costs for the building. To address the above problems, this paper analyzes and optimizes the following four dimensions. First, the article creates a Convolutional Neural Network (CNN) prediction model with Total Energy Use in Buildings (TEUI), Global Warming Potential (GWP), and Life Cycle Costs (LCC) as the performance objectives. After optimization, the R2 of the three are 0.9908, 0.9869, and 0.9969, respectively, thus solving the problem of low accuracy of traditional prediction models. Next, the NSGA-II algorithm is used to optimize the three performance objectives, which are reduced by 41.94%, 40.61%, and 31.29%, respectively. Then, in the program decision stage, this paper uses two empowered Topsis methods to optimize this building performance problem. Finally, the article analyzes the variables using two sensitivity analysis methods. Through the above research, this paper provides a framework of optimization ideas for office buildings in extremely hot and cold regions while focusing on the four major aspects of machine learning, multi-objective optimization, decision analysis, and sensitivity analysis systematically and completely. For the development of office buildings in the region, whether in the early program design or in the later stages, energy-saving measures to optimize the design have laid the foundation of important guidelines.

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Evaluating technology innovation capabilities of companies based on entropy- TOPSIS: the case of solar cell companies

Cited by 13 publications

References 58 publications

Evaluation of the effect of ultrasonic pretreatment on vacuum far‐infrared drying characteristics and quality of Angelica sinensis based on entropy weight‐coefficient of variation method

Evaluation of the effect of ultrasonic pretreatment on vacuum far‐infrared drying characteristics and quality of Angelica sinensis based on entropy weight‐coefficient of variation method

Energy Performance Analysis and Study of an Office Building in an Extremely Hot and Cold Region

Prediction and Optimization Analysis of the Performance of an Office Building in an Extremely Hot and Cold Region

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