Application of Green Building Materials and Multi-objective Energy-Saving Optimization Design

Liu, Zhaoran; Guo, An

doi:10.18280/ijht.390133

Cited by 15 publications

(12 citation statements)

References 21 publications

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“…In order to enable developers to accurately understand the cost-effectiveness of green building projects and make scientific decisions, most scholars at home and abroad have established economic benefit evaluation models based on the whole life cycle theory through different methods. Liu and Guo combined the fuzzy comprehensive evaluation method on the basis of analytic hierarchy process and then constructed the evaluation model [1]. Wang believed that investors will reduce their willingness to invest because the economic benefits are not significant, but the free choice of investors makes green buildings have real options.…”

Section: Literature Reviewmentioning

confidence: 99%

Multiobjective Optimization Design of Green Building Energy Consumption Based on Inorganic Thermal Insulation Nanomaterials

Yuan

2022

International Journal of Analytical Chemistry

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In order to solve the problem that building engineering construction needs to consume a lot of energy and cause environmental pollution, which will pose a great pressure on urban resources and environment, this paper proposes that, in building engineering construction, appropriate green construction technology must be selected in combination with the actual situation, so as to effectively reduce the energy consumption of building engineering and improve the use efficiency of building engineering. Firstly, good thermal insulation nanomaterials are selected, which are cost-effective, safe, and nontoxic and has small thermal conductivity, large heat storage coefficient, stable chemical performance, and good construction performance. Secondly, it also needs to be selected according to the actual service life of the building. Because the current evaluation system is mostly aimed at the planning and design stage, and the structure occupies a large part in the building, for example, the impact on the construction period accounts for more than 50% and the impact on the cost accounts for 35%. Therefore, Duan Xiaorong and others established the grey cluster evaluation model of green building structure design based on the triangular whitening weight function. Finally, according to the relevant national regulations, this paper optimizes the design of green buildings based on the basic principles of energy conservation and emission reduction, high quality, and high efficiency.

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Section: Literature Reviewmentioning

confidence: 99%

Multiobjective Optimization Design of Green Building Energy Consumption Based on Inorganic Thermal Insulation Nanomaterials

Yuan

2022

International Journal of Analytical Chemistry

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“…e formula for the depth difference can be expressed as But there are some downsides to this measurement, as it does not have active light and does not work well in darker environments. It can only be used at close range, and the measurement error will be large in the distance [16].…”

Section: Algorithms For Vision Sensorsmentioning

confidence: 99%

Visual Sensor Image Deconstruction in Constructing Green Building Design Space Adjustment Construction Strategy

Xia

2022

Computational Intelligence and Neuroscience

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Since the introduction of green design in China, the space adjustment of green building design has received great attention from architects. Because space adjustment is very important for the pre-construction of a green building, it also represents the effectiveness of the building after its operation. At the same time, the spatial adjustment of green buildings is also a professional level test for architects. In order to obtain more accurate information about various aspects of the building, it is not enough to rely on the naked eye or measuring tools. Because it is impossible to comprehensively inspect the entire building, and the data is too cluttered, it is inconvenient to carry out a one-step construction strategy. Therefore, this study proposes to use visual sensors to analyze the image of a building, so as to achieve the data effect that architects want and to achieve the best effect in space adjustment. In order to prove the applicability of visual sensors, this study takes the current situation of domestic green building projects as a case study and deeply explores the status of domestic green building projects under the current social background. Then, the method of the visual sensor is used to analyze the problem of building space adjustment, and experimental research on the performance of this technology is carried out. The results show that this technology is very suitable for the study of construction strategies for spatial adjustment. In building identification, the error of the algorithm in this study in the measurement range of 1 m to 2 m is obviously smaller than that of other methods, and the accuracy is basically kept within 1 cm. Therefore, in order to better develop the green design, we should focus on the application of visual sensors in this regard.

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“…e long-term development of the green economy hinges on the optimization of industrial structure [7][8][9]. To achieve green industry restructuring, it is necessary to integrate green development philosophy into the financial system, which plays an important role in the allocation of social resources, and divert more funds to green industries such as environmental protection and clean energy [10][11][12][13]. Short supply, weak incentives, and period mismatch are the main problems with the green financing policy, the result of government-led policy guidelines, and system arrangements [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Relationship between Green Financing and Investment Logic and Effectiveness Evaluation of Financing Decisions

Kong

Lei

Zhang

et al. 2022

Discrete Dynamics in Nature and Society

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Green financing diverts more funds to green industries such as environmental protection, and clean energy, enabling the industries to realize structural adjustment. On green financing, the existing studies at home and abroad mainly focus on the definition of concepts and service scope and system construction. There are few attempts to combined green financing efficacy with corporate investment from the angles of investment level, investment efficiency, and investment risks. This paper associates green financing policy with corporate investment, analyzes the logical connection between the two, and thereby evaluates the effectiveness of green financing decisions. Specifically, a decision model was established for the government participation in green financing via green product subsidy, and a solving algorithm was developed for the model. After that, the authors analyzed the correlations of green financing with the investment level and investment efficiency of green enterprises. Next, the effectiveness of green financing decisions was discussed under dynamic operation risks. Finally, the proposed approach was demonstrated through simulation and empirical analysis.

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Application of Green Building Materials and Multi-objective Energy-Saving Optimization Design

Cited by 15 publications

References 21 publications

Multiobjective Optimization Design of Green Building Energy Consumption Based on Inorganic Thermal Insulation Nanomaterials

Multiobjective Optimization Design of Green Building Energy Consumption Based on Inorganic Thermal Insulation Nanomaterials

Visual Sensor Image Deconstruction in Constructing Green Building Design Space Adjustment Construction Strategy

[Retracted] Relationship between Green Financing and Investment Logic and Effectiveness Evaluation of Financing Decisions

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