收藏切换
Grey Fuzzy Comprehensive Evaluation of Green and Low-carbon Farmhouses in Western Inner Mongolia Based on Random Forest Algorithm
收藏切换
PDF
Guo-hui JIN1, 2, Ya-jie SHI1, 2, *, Zhi-jie SHI3, Kai-ge ZHANG1, 2
Science Technology and Engineering | 2025, 25(8) : 3340 - 3348
Less
收藏切换
Science Technology and Engineering | 2025, 25(8): 3340-3348
Architectural Science
Grey Fuzzy Comprehensive Evaluation of Green and Low-carbon Farmhouses in Western Inner Mongolia Based on Random Forest Algorithm
Full
Guo-hui JIN1, 2, Ya-jie SHI1, 2, *, Zhi-jie SHI3, Kai-ge ZHANG1, 2
Affiliations
  • 1 School of Civil Engineering Inner Mongolia University of Science and Technology Baotou 014010 China
  • 2 Intelligent Construction and Operation Engineering Research Center at Universities of Inner Mongolia Autonomous Region Inner Mongolia University of Science and Technology Baotou 014010 China
  • 3 School of Computer and Artificial Intelligence Liaoning Normal University Dalian 116000 China
Published: 2025-03-18 doi: 10.12404/j.issn.1671-1815.2403464
Outline
收藏切换

In order to promote the green, low-carbon and high-quality development of rural areas in western Inner Mongolia, the data collected from the survey and literature was combined, the energy consumption of farmhouses was jointly simulated through DeST and Trnsys software, single factor analysis was carried out, the orthogonal test method was used to obtain multiple schemes, and the gray fuzzy comprehensive evaluation method based on random forest algorithm was used to comprehensively optimize the enclosure structure and heating system, and selected the most suitable green and low-carbon farmhouse scheme in western Inner Mongolia. The results show that the optimal scheme of green and low-carbon farmhouses in western Inner Mongolia is as follows: the building is facing north and south, the floor height is${3.4}\mathrm{\;m}$, the ground is${20}\mathrm{\;{mm}}$polystyrene extruded polystyrene board (XPS) thermal insulation tile floor, the roof is${120}\mathrm{\;{mm}}$expanded polystyrene foam board (EPS) insulation board inverted concrete block roof, the external wall is${160}\mathrm{\;{mm}}$polystyrene extruded polystyrene board (XPS) insulation board external insulation concrete block wall, the external window is$6\mathrm{C}+ {12}\mathrm{{Ar}}+ 6\mathrm{C}6\mathrm{\;{mm}}$double-layer ordinary glass inert gas plastic steel window, the south-facing window-to-wall ratio is 0.5, the north-facing window-to-wall ratio is 0.5, and the sunlight depth is${1.2}\mathrm{\;m}$. The material of the sunshine room is$6\mathrm{C}+ {12}\mathrm{{Ar}}+ 6\mathrm{C}6\mathrm{\;{mm}}$double-layer inert gas ordinary glass + plastic steel window frame + thermal insulation curtains, and the wind power generation efficiency is${45}\%$. The heating energy consumption of the optimal scheme is${2661.15}\mathrm{\;{kW}}\cdot \mathrm{h}$,the average indoor temperature on the coldest day is${11.62}{}^{\circ }\mathrm{C}$, the carbon emission reduction is${10.02}\mathrm{\;t}/\mathrm{a}$, the solar heat gain is${67702.75}\mathrm{\;{kW}}$, and the net present value$> 0$, which is economical and has a certain degree of popularization in the rural areas of western Inner Mongolia, providing a development direction for the green and low-carbon transformation of rural houses in western Inner Mongolia.

green and low-carbon farmhouses  /  DeST and Trnsys  /  random forest algorithm  /  gray fuzzy comprehensive evaluation  /  green and low-carbon transformation
Guo-hui JIN, Ya-jie SHI, Zhi-jie SHI, Kai-ge ZHANG. Grey Fuzzy Comprehensive Evaluation of Green and Low-carbon Farmhouses in Western Inner Mongolia Based on Random Forest Algorithm[J]. Science Technology and Engineering, 2025 , 25 (8) : 3340 -3348 . DOI: 10.12404/j.issn.1671-1815.2403464
Year 2025 volume 25 Issue 8
PDF
352
140
Cite this Article
BibTeX
Article Info
doi: 10.12404/j.issn.1671-1815.2403464
  • Receive Date:2024-05-10
  • Online Date:2025-07-29
  • Published:2025-03-18
Article Data
Affiliations
History
  • Received:2024-05-10
  • Revised:2024-12-30
Funding
Affiliations
    1 School of Civil Engineering Inner Mongolia University of Science and Technology Baotou 014010 China
    2 Intelligent Construction and Operation Engineering Research Center at Universities of Inner Mongolia Autonomous Region Inner Mongolia University of Science and Technology Baotou 014010 China
    3 School of Computer and Artificial Intelligence Liaoning Normal University Dalian 116000 China
References
Share
https://castjournals.cast.org.cn/joweb/kxjsygc/EN/10.12404/j.issn.1671-1815.2403464
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT