Integrated Intelligent Energy ›› 2026, Vol. 48 ›› Issue (4): 27-34.doi: 10.3969/j.issn.2097-0706.2026.04.004
• Integrated Energy System Analysis and Evaluation • Previous Articles Next Articles
CHEN Yue1(
), TIAN Shen1,*(
), ZHAN Binfei2(
), SHI Xiaodong3(
), XU Weichen1(
), HU Kaiyong1(
)
Received:2025-01-09
Revised:2025-02-24
Published:2025-06-04
Contact:
TIAN Shen
E-mail:chen_yue1223@163.com;tianshen@tjcu.edu.cn;zhanbf@emcso.com;981729022@qq.com;3385303474@qq.com;hky422@tjcu.edu.cn
Supported by:CLC Number:
CHEN Yue, TIAN Shen, ZHAN Binfei, SHI Xiaodong, XU Weichen, HU Kaiyong. Real-time heat supply identification method and application for rural residences in North and Northeast China during heating season[J]. Integrated Intelligent Energy, 2026, 48(4): 27-34.
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Table 1
The architectural structures and dimensions of rural houses
| 室内区域 | 农宅编号 | ||
|---|---|---|---|
| #1 | #2 | #3 | |
| 卧室/(m×m) | 4.98×3.83 | 4.26×3.84 | 3.35×3.50 3.35×3.45 3.35×3.50 |
| 客厅/(m×m) | 4.98×7.02/2.46×3.83 | 4.26×3.14 | 3.35×2.60/3.35×2.60 |
| 院子/(m×m) | 2.87×9.77 | ||
| 门/(m×m) | 1.90×0.80 | 1.96×1.00 | 1.90×1.04 |
| 窗/(m×m) | 1.70×1.00 1.70×1.00 1.70×1.96 1.70×1.96 | 2.50×1.50 0.80×1.50 1.00×0.50 0.90×1.50 3.50×1.50 | 1.95×3.00 2.95×0.80 1.05×0.80 2.95×0.80 1.95×3.00 1.95×3.00 1.95×2.50 1.95×3.00 |
Table 2
The structural materials of rural residential buildings
| 建筑 结构 | 农宅编号 | ||
|---|---|---|---|
| #1 | #2 | #3 | |
| 外墙 | 水泥、砂浆、红砖、 水泥、砂浆 瓷砖 | 水泥、砂浆、 红砖、水泥、 砂浆 | 水泥、砂浆、 红砖、水泥、 砂浆 |
| 内墙 | 水泥、砂浆、 红砖、水泥、 砂浆 | 水泥、砂浆、 红砖、水泥、 砂浆 | 水泥、砂浆、 红砖、水泥、 砂浆 |
| 地基 | 夯土和混凝土 | 夯土和混凝土 | 夯土和混凝土 |
| 地面 | 水泥、砂浆、瓷砖 | 水泥、砂浆、瓷砖 | 水泥、砂浆、瓷砖 |
| 屋顶 | 水泥、砂浆、 彩钢瓦 | 水泥、砂浆、 瓦片 | 水泥、砂浆、 瓦片 |
| 窗户 | 玻璃 | 玻璃 | 玻璃 |
| 门 | 木头 | 木头、玻璃 | 木头、玻璃 |
| [1] | 清华大学建筑节能研究中心. 中国建筑节能年度发展研究报告 2024(农村住宅专题)[M]. 北京: 中国建筑工业出版社, 2024. |
| [2] |
邹风华, 朱星阳, 殷俊平, 等. “双碳”目标下建筑能源系统发展趋势分析[J]. 综合智慧能源, 2024, 46(8): 36-40.
doi: 10.3969/j.issn.2097-0706.2024.08.005 |
|
ZOU Fenghua, ZHU Xingyang, YIN Junping, et al. Development trend analysis on building energy systems under "dual carbon" target[J]. Integrated Intelligent Energy, 2024, 46(8): 36-40.
doi: 10.3969/j.issn.2097-0706.2024.08.005 |
|
| [3] | 付毕安. 重视建筑节能改造,推进我国北方农村地区清洁取暖可持续发展[J]. 中国能源, 2023, 45(S1): 82-90. |
| FU Bi'an. Pay attention to building energy-saving renovation with the aim to promoting the sustainable development of clean heating in rural areas[J]. Energy of China, 2023, 45(S1): 82-90. | |
| [4] | 肖敏, 朱泓宇, 张嘉敏, 等. 夏热冬冷地区居住建筑碳排放与热舒适度综合灵敏度分析方法[J]. 建筑节能(中英文), 2024, 52(10): 24-32, 42. |
| XIAO Min, ZHU Hongyu, ZHANG Jiamin, et al. Comprehensive sensitivity analysis of carbon emissions and thermal comfort of residential buildings in hot summer and cold winter areas[J]. Building Energy Efficiency, 2024, 52(10): 24-32, 42. | |
| [5] | 范时光, 徐新华. 夏热冬冷地区居住建筑基于热舒适与热健康的室内运行温度分析[J]. 暖通空调, 2024, 54(12): 1-9. |
| FAN Shiguang, XU Xinhua. Analysis of indoor operation temperature based on thermal comfort and thermal health for residential buildings in hot summer and cold winter zone[J]. Heating Ventilating and Air Conditioning, 2024, 54(12): 1-9. | |
| [6] | 成会龙. 基于多目标优化方法的夏热冬冷地区教学楼能耗和热舒适性研究[D]. 秦皇岛: 燕山大学, 2023. |
| CHENG Huilong. Research on energy consumption and thermal comfort of teaching buildings in hot summer and cold winter areas based on multi-objective optimization method[D]. Qinhuangdao: Yanshan University, 2023. | |
| [7] |
GUO X D, XIAO B W. How can pricing strategy for district heating help China realize cleaner residential heating?[J]. Energy Economics, 2022, 110: 106035.
doi: 10.1016/j.eneco.2022.106035 |
| [8] |
樊颜搏, 熊亚选, 李想, 等. 基于遗传算法的建筑用能多目标优化应用进展[J]. 综合智慧能源, 2024, 46(9): 69-85.
doi: 10.3969/j.issn.2097-0706.2024.09.009 |
|
FAN Yanbo, XIONG Yaxuan, LI Xiang, et al. Advancement in multi-objective optimization for building energy use based on genetic algorithms[J]. Integrated Intelligent Energy, 2024, 46(9): 69-85.
doi: 10.3969/j.issn.2097-0706.2024.09.009 |
|
| [9] |
DENG Q T, WANG G B, WANG Y T, et al. A quantitative analysis of the impact of residential cluster layout on building heating energy consumption in cold IIB regions of China[J]. Energy and Buildings, 2021, 253: 111515.
doi: 10.1016/j.enbuild.2021.111515 |
| [10] | 杨旭东, 单明. 深入推进中国农村散煤治理: 构建面向碳中和的农村新型能源系统[J]. 可持续发展经济导刊, 2024(6): 24-27. |
| YANG Xudong, SHAN Ming. Further promote the treatment of bulk coal in rural China: Building a new rural energy system for carbon neutrality[J]. China Sustainability Tribune, 2024(6): 24-27. | |
| [11] | 李以通, 陈乐端, 成雄蕾, 等. 严寒和寒冷地区绿色宜居农宅节能技术效果分析[J]. 建筑节能, 2023, 51(6): 32-36, 64. |
| LI Yitong, CHEN Leduan, CHENG Xionglei, et al. Effect analysis of energy-saving technologies for green and livable rural residential building in severe cold and cold regions[J]. Building Energy Efficiency, 2023, 51(6): 32-36, 64. | |
| [12] | 徐俊芳. 北京地区农宅不同节能减碳方案经济性浅析[J]. 建筑节能, 2023, 51(2): 132-136, 144. |
| XU Junfang. Economic analysis of different energy-saving and emission-reduction schemes of rural houses in Beijing[J]. Building Energy Efficiency, 2023, 51(2): 132-136, 144. | |
| [13] | 杜欣怡. 煤改电战略下中国能源生产与消费结构的变革与调整[J]. 中国战略新兴产业, 2024, (8): 152-154. |
| DU Xinyi. The transformation and adjustment of China's energy production and consumption structure under the coal to electricity strategy[J]. China Strategic Emerging Industry, 2024, (8): 152-154. | |
| [14] |
WU C, CHEN Z G, ZHANG Y M, et al. A case study of multi-energy complementary systems for the building based on Modelica simulations[J]. Energy Conversion and Management, 2024, 306: 118290.
doi: 10.1016/j.enconman.2024.118290 |
| [15] | 中国建筑节能协会,重庆城乡建设与发展研究院. 中国建筑能耗与碳排放研究报告(2022年)[J]. 建筑, 2023(2):57-69. |
| China Building Energy Efficiency Association, Chongqing Institute of Urban and Rural Construction and Development. Research report on building energy consumption and carbon emissions in China (2022)[J]. Architecture, 2023(2): 57-69. | |
| [16] |
DONG Q, MA Z K, SUN C. Occupancy of rooms in urban residential buildings by users in cold areas of China[J]. Building Simulation, 2023, 16(3): 483-497.
doi: 10.1007/s12273-022-0950-8 |
| [17] |
胡开永, 刘峰, 吴秀杰, 等. 基于Trnsys能耗预测的村镇建筑不同供能方式碳-经济分析[J]. 综合智慧能源, 2023, 45(8): 64-71.
doi: 10.3969/j.issn.2097-0706.2023.08.008 |
|
HU Kaiyong, LIU Feng, WU Xiujie, et al. Carbon-economy analysis on energy supply methods for rural buildings based on Trnsys energy consumption prediction[J]. Integrated Intelligent Energy, 2023, 45(8): 64-71.
doi: 10.3969/j.issn.2097-0706.2023.08.008 |
|
| [18] | 焦阳. 面向乡村建筑分时分区用能需求的综合能源系统设计优化与运行调度研究[D]. 西安: 西安建筑科技大学, 2024. |
| JIAO Yang. Research on design optimization and operation scheduling of comprehensive energy system for time-sharing and zoning energy demand of rural buildings[D]. Xi'an: Xi'an University of Architecture and Technology, 2024. | |
| [19] |
HE D S, ZHANG Y, BIN ASHAB M F. Proposing hybrid prediction approaches with the integration of machine learning models and metaheuristic algorithms to forecast the cooling and heating load of buildings[J]. Energy, 2024, 291: 130297.
doi: 10.1016/j.energy.2024.130297 |
| [20] |
ZHANG J X, HUANG Y, CHENG H D, et al. Ensemble learning-based approach for residential building heating energy prediction and optimization[J]. Journal of Building Engineering, 2023, 67: 106051.
doi: 10.1016/j.jobe.2023.106051 |
| [21] |
NEUBAUER A, BRANDT S, KRIEGEL M. Relationship between feature importance and building characteristics for heating load predictions[J]. Applied Energy, 2024, 359: 122668.
doi: 10.1016/j.apenergy.2024.122668 |
| [22] |
DUAN J J, LI N P, PENG J Q, et al. Clustering and prediction of space cooling and heating energy consumption in high-rise residential buildings with the influence of occupant behaviour: Evidence from a survey in Changsha, China[J]. Journal of Building Engineering, 2023, 76: 107418.
doi: 10.1016/j.jobe.2023.107418 |
| [23] |
DING X L, MA R J, SHAN M, et al. Occupants' on-demand control of individual heating devices in rural residential buildings: An experimental scheme and on-site study[J]. Energy and Buildings, 2022, 259: 111862.
doi: 10.1016/j.enbuild.2022.111862 |
| [24] |
SALEEM A, UGALDE-LOO C E. Thermal performance analysis of a heat pump-based energy system to meet heating and cooling demand of residential buildings[J]. Applied Energy, 2025, 383: 125306.
doi: 10.1016/j.apenergy.2025.125306 |
| [25] |
TIAN S, SHAO S Q, LIU B. Investigation on transient energy consumption of cold storages: Modeling and a case study[J]. Energy, 2019, 180: 1-9.
doi: 10.1016/j.energy.2019.04.217 |
| [26] | ASHRAE. ASHRAE Handbook-HVAC systems and equipment, 2020[M]. Atlanta: ASHRAE Inc, 2020. |
| [27] |
VIVIANJ, PRATAVIERAE, GASTALDELLON. A comparison between grey-box models and neural networks for indoor air temperature prediction in buildings[J]. Journal of Building Engineering, 2024, 84: 108583.
doi: 10.1016/j.jobe.2024.108583 |
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