ENERGY FLEXIBILITY FOR COOLING OF LOW-ENERGY HOUSES IN HOT SUMMER AND COLD WINTER REGIONS AND IMPLICATIONS FOR RENEWABLE ENERGY SELF-SUFFICIENCY RATES

Ai Daifeng; Hao Xiaoli; Deng Zhang; Liu Xianping

doi:10.19912/j.0254-0096.tynxb.2023-1829

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ENERGY FLEXIBILITY FOR COOLING OF LOW-ENERGY HOUSES IN HOT SUMMER AND COLD WINTER REGIONS AND IMPLICATIONS FOR RENEWABLE ENERGY SELF-SUFFICIENCY RATES

更新时间：2025-10-18

- ENERGY FLEXIBILITY FOR COOLING OF LOW-ENERGY HOUSES IN HOT SUMMER AND COLD WINTER REGIONS AND IMPLICATIONS FOR RENEWABLE ENERGY SELF-SUFFICIENCY RATES
- Vol. 46, Issue 3, Pages: 291-300(2025)
- 作者机构：
  
  1. 湖南科技大学土木工程学院,湘潭 411201
  2. 湖南科技大学湖南省智慧建造装配式被动房工程技术研究中心,湘潭 411201
- 作者简介：
- 基金信息：
- DOI：10.19912/j.0254-0096.tynxb.2023-1829
  CLC： TK02
- Published Online：07 April 2025，
  
  Published：2025
- 稿件说明：
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艾代峰, 郝小礼, 邓章, 刘仙萍. 夏热冬冷地区低能耗住宅供冷能源灵活性及对可再生能源自给率的影响[J]. 太阳能学报, 2025, 46(3): 291-300.

Ai Daifeng, Hao Xiaoli, Deng Zhang, et al. ENERGY FLEXIBILITY FOR COOLING OF LOW-ENERGY HOUSES IN HOT SUMMER AND COLD WINTER REGIONS AND IMPLICATIONS FOR RENEWABLE ENERGY SELF-SUFFICIENCY RATES[J]. 2025, 46(3): 291-300.
艾代峰, 郝小礼, 邓章, 刘仙萍. 夏热冬冷地区低能耗住宅供冷能源灵活性及对可再生能源自给率的影响[J]. 太阳能学报, 2025, 46(3): 291-300. DOI： 10.19912/j.0254-0096.tynxb.2023-1829.

Ai Daifeng, Hao Xiaoli, Deng Zhang, et al. ENERGY FLEXIBILITY FOR COOLING OF LOW-ENERGY HOUSES IN HOT SUMMER AND COLD WINTER REGIONS AND IMPLICATIONS FOR RENEWABLE ENERGY SELF-SUFFICIENCY RATES[J]. 2025, 46(3): 291-300. DOI： 10.19912/j.0254-0096.tynxb.2023-1829.

摘要

以夏热冬冷地区的普通住宅公寓和低能耗住宅公寓为例

定义温度向上和向下两种灵活性调节事件

利用DesignBuilder对比分析建筑本体固有的保冷能力

量化建筑在供冷季的能源灵活性潜力。结果表明：在不影响人体热舒适的前提下

低能耗住宅在向下调节中增加的冷量远低于普通住宅

最优时长为12:00—18:00。通过向下调节

低能耗住宅的可再生能源自给率达到79.8%

远超普通住宅的37.2%。经济性分析显示

低能耗住宅在向上和向下调节中均有收益

一天内节省电费分别为129元和105元。

Abstract

Assessing the energy flexibility potential of buildings during the cooling season

by taking an ordinary residential apartment and a low-energy residential apartment in the hot summer and cold winter zone as case studies. Two types of flexible temperature adjustment events are defined

namely

upward and downward adjustment. Then

DesignBuilder is used to compare and analyze the inherent cooling capacity of the building’s thermal mass. The results show that

without affecting human thermal comfort

the additional cooling load in the downward adjustment of the low-energy residential apartment is much lower than that of the ordinary residential apartment

with the optimal period being from 12:00 to 18:00. Through downward adjustment

the self-sufficiency rate of solar energy in the low-energy residential apartment reaches 79.8%

far exceeding that of the ordinary residential apartment at 37.2%. Economic analysis indicates that the low-energy residential apartment yields benefits in upward and downward adjustments

saving electricity costs by 129 yuan and 105 yuan per day.

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references

LI Y, YANG X D, RAN Q Y, et al.Energy structure, digital economy, and carbon emissions: evidence from China[J]. Environmental science and pollution research international, 2021, 28(45): 64606-64629.

廖华, 向福洲. 中国“十四五” 能源需求预测与展望[J]. 北京理工大学学报(社会科学版), 2021, 23(2): 1-8.

吴亚楠, 周庆伟, 武贺, 等. 中国近海太阳能资源特征分析及储量评估[J]. 太阳能学报, 2023, 44(12): 162-169.

邵桂萍, 许洪华. 可再生能源综合系统现状与未来发展趋势研究[J]. 太阳能, 2024(7): 127-132.

于海江. 填补屋顶光伏技术标准空白[N]. 中国电力报, 2021-12-30(005).

LI H, WANG Z, HONG T Z, et al.Energy flexibility of residential buildings: a systematic review of characterization and quantification methods and applications[J]. Advances in applied energy, 2021, 3: 100054.

MA Z, KNOTZER A, BILLANES J D, et al.A literature review of energy flexibility in district heating with a survey of the stakeholders’ participation[J]. Renewable and sustainable energy reviews, 2020, 123: 109750.

CHEN Y B, XU P, GU J F, et al.Measures to improve energy demand flexibility in buildings for demand response (DR): a review[J]. Energy and buildings, 2018, 177: 125-139.

SABERI-DERAKHTENJANI A, ATHIENITIS A K, EICKER U, et al.Energy flexibility comparison of different control strategies for zones with radiant floor systems[J]. Buildings, 2022, 12(6): 837.

MARIJANOVIC Z, THEILE P, CZOCK B H.Value of short-term heating system flexibility:A case study for residential heat pumps on the German intraday market[J]. Energy, 2022, 249: 123664.

MARSZAL-POMIANOWSKA A, HEISELBERG P, KALYANOVA LARSEN O.Household electricity demand profiles:A high-resolution load model to facilitate modelling of energy flexible buildings[J]. Energy, 2016, 103: 487-501.

GOLMOHAMADI H, LARSEN K G, JENSEN P G, et al.Hierarchical flexibility potentials of residential buildings with responsive heat pumps: a case study of Denmark[J]. Journal of building engineering, 2021, 41: 102425.

MASY G, GEORGES E, VERHELST C, et al.Smart grid energy flexible buildings through the use of heat pumps and building thermal mass as energy storage in the Belgian context[J]. Science and technology for the built environment, 2015, 21(6): 800-811.

ARTECONI A, COSTOLA D, HOES P, et al.Analysis of control strategies for thermally activated building systems under demand side management mechanisms[J]. Energy and buildings, 2014, 80: 384-393.

REYNDERS G, NUYTTEN T, SAELENS D.Potential of structural thermal mass for demand-side management in dwellings[J]. Building and environment, 2013, 64: 187-199.

REYNDERS G, DIRIKEN J, SAELENS D.A generic quantification method for the active demand response potential by structural storage in buildings[C]//Building Simulation Conference Proceedings", "Proceedings of Building Simulation 2015: 14th Conference of IBPSA, 2015.

LE DRÉAU J, HEISELBERG P. Energy flexibility of residential buildings using short term heat storage in the thermal mass[J]. Energy, 2016, 111: 991-1002.

D’HULST R, LABEEUW W, BEUSEN B, et al. Demand response flexibility and flexibility potential of residential smart appliances: experiences from large pilot test in Belgium[J]. Applied energy, 2015, 155: 79-90.

陆耀庆. 实用供热空调设计手册[M]. 2版. 北京: 中国建筑工业出版社, 2008.

FOTEINAKI K, LI R L, HELLER A, et al.Heating system energy flexibility of low-energy residential buildings[J]. Energy and buildings, 2018, 180: 95-108.

中华人民共和国住房和城乡建设部. 中华人民共和国工程建设标准强制性条文[M]. 北京: 中国水利水电出版社, 2013.

湖南省住房和城乡建设厅. 湖南省建筑工程信息模型施工应用指南[M]. 北京: 中国建筑工业出版社, 2017.

中华人民共和国国家质量监督检验检疫总局, 中国国家标准化管理委员会. 建筑外门窗气密、水密、抗风压性能分级及检测方法[M]. 北京: 中国标准出版社, 2008.

REYNDERS G, DIRIKEN J, SAELENS D.Generic characterization method for energy flexibility: applied to structural thermal storage in residential buildings[J]. Applied energy, 2017, 198: 192-202.

李原, 徐国强, 王松, 等. 可再生能源消纳措施的量化评估方法研究[J]. 太阳能学报, 2022, 43(8): 360-365.

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