Model of evaluation the energy-efficient technologies in construction
The article discusses methods of unconditional optimization to solve the problem of choosing the most effective energy-saving technology in construction. The optimization condition has chosen the value of the rate of reduction of energy consumption during operation of the facility. The task of deter...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2020-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/17/e3sconf_ktti2020_04019.pdf |
| _version_ | 1819177182314889216 |
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| author | Okolelova Ella Shibaeva Marina Efimiev Alexey Kolesnikova Victoria |
| author_facet | Okolelova Ella Shibaeva Marina Efimiev Alexey Kolesnikova Victoria |
| author_sort | Okolelova Ella |
| collection | DOAJ |
| description | The article discusses methods of unconditional optimization to solve the problem of choosing the most effective energy-saving technology in construction. The optimization condition has chosen the value of the rate of reduction of energy consumption during operation of the facility. The task of determining the most effective energy-saving technology is to evaluate how quickly the reduction of consumption of the i-type of energy occurs. For the solution, unconditional optimization methods were used: the steepest descent method and the gradient method. An algorithm has been developed to search for the minimum value of the function when solving the problem using the coordinate-wise descent method. The article presents an algorithm for determining the unconditional minimum using the Nelder-Mead method, which is not a gradient method of spatial search for the optimal solution. The methods considered are classic optimization methods. If there is a difficulty in finding a function on which the functional reaches its minimum, then these methods may not be effective in terms of convergence. In many problems, in particular, when sufficiently complex functions with a large number of parameters are used, it is most advisable to use methods that have a high convergence rate. Such methods are methods for finding the extremum of a function when moving along a gradient, i.e. gradient descent. The task of finding the minimum function of energy consumption is defined as the task of determining the anti-gradient of the objective function, i.e. function decreases in the opposite direction to the gradient. The direction of the anti-gradient is the direction of the steepest descent. |
| first_indexed | 2024-12-22T21:22:35Z |
| format | Article |
| id | doaj.art-ff6c4eddcacf4377908e5b8c47d4690a |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-22T21:22:35Z |
| publishDate | 2020-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-ff6c4eddcacf4377908e5b8c47d4690a2022-12-21T18:12:10ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011570401910.1051/e3sconf/202015704019e3sconf_ktti2020_04019Model of evaluation the energy-efficient technologies in constructionOkolelova Ella0Shibaeva Marina1Efimiev Alexey2Kolesnikova Victoria3Voronezh State Technical UniversityVoronezh State Technical UniversityVoronezh State Technical UniversityVoronezh State Technical UniversityThe article discusses methods of unconditional optimization to solve the problem of choosing the most effective energy-saving technology in construction. The optimization condition has chosen the value of the rate of reduction of energy consumption during operation of the facility. The task of determining the most effective energy-saving technology is to evaluate how quickly the reduction of consumption of the i-type of energy occurs. For the solution, unconditional optimization methods were used: the steepest descent method and the gradient method. An algorithm has been developed to search for the minimum value of the function when solving the problem using the coordinate-wise descent method. The article presents an algorithm for determining the unconditional minimum using the Nelder-Mead method, which is not a gradient method of spatial search for the optimal solution. The methods considered are classic optimization methods. If there is a difficulty in finding a function on which the functional reaches its minimum, then these methods may not be effective in terms of convergence. In many problems, in particular, when sufficiently complex functions with a large number of parameters are used, it is most advisable to use methods that have a high convergence rate. Such methods are methods for finding the extremum of a function when moving along a gradient, i.e. gradient descent. The task of finding the minimum function of energy consumption is defined as the task of determining the anti-gradient of the objective function, i.e. function decreases in the opposite direction to the gradient. The direction of the anti-gradient is the direction of the steepest descent.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/17/e3sconf_ktti2020_04019.pdf |
| spellingShingle | Okolelova Ella Shibaeva Marina Efimiev Alexey Kolesnikova Victoria Model of evaluation the energy-efficient technologies in construction E3S Web of Conferences |
| title | Model of evaluation the energy-efficient technologies in construction |
| title_full | Model of evaluation the energy-efficient technologies in construction |
| title_fullStr | Model of evaluation the energy-efficient technologies in construction |
| title_full_unstemmed | Model of evaluation the energy-efficient technologies in construction |
| title_short | Model of evaluation the energy-efficient technologies in construction |
| title_sort | model of evaluation the energy efficient technologies in construction |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/17/e3sconf_ktti2020_04019.pdf |
| work_keys_str_mv | AT okolelovaella modelofevaluationtheenergyefficienttechnologiesinconstruction AT shibaevamarina modelofevaluationtheenergyefficienttechnologiesinconstruction AT efimievalexey modelofevaluationtheenergyefficienttechnologiesinconstruction AT kolesnikovavictoria modelofevaluationtheenergyefficienttechnologiesinconstruction |