Analysis of Heating Intensity in Harbin Based on Degree-hours Method

LIU Yu-lian, REN Guo-yu

JOURNAL OF NATURAL RESOURCES ›› 2018, Vol. 33 ›› Issue (1) : 139-148.

PDF(5666 KB)
PDF(5666 KB)
JOURNAL OF NATURAL RESOURCES ›› 2018, Vol. 33 ›› Issue (1) : 139-148. DOI: 10.11849/zrzyxb.20161270

Analysis of Heating Intensity in Harbin Based on Degree-hours Method

  • LIU Yu-lian1, 3, REN Guo-yu2, 3, *
Author information +
History +

Abstract

Compared to degree-day, degree-hour is more realistic to indicate the heating intensity. Using the degree-hour method and hourly temperature data of 2005-2014, the characteristics of temperature and heating intensity of the heating period in Harbin City were analyzed. The main conclusions include: 1) During the 183 days of Harbin heating period, the average temperature was -7.7 ℃. Higher temperatures appeared in 2007 and 2008, which were 2.6 ℃ higher than the average, and the lower temperature occured in 2013, which was 2.0 ℃lower than the average. 2) During the period of 2005-2014, the average annual heating intensity was 1.1×105 ℃·h, with the maximum value 1.2×105 ℃·h (2013), and the minimum value 1.0×105 ℃·h (2007). The highest heating intensity was in January, and the lowest was in April; the maximum hourly mean heating intensity appeared in the early morning, and the minimum hourly mean heating intensity appeared in the early afternoon. 3) The hourly mean heating intensity of Harbin heating period was 25.7 ℃·h, and the diurnal distribution of hourly mean heating intensity was opposite to the temperature. The maximum hourly mean heating intensity, 29.3 ℃·h, was at 06:00 am, while the minimum value, 21.6 ℃·h, was at 14:00 pm. The heating intensity was generally higher than the average during the period from 21:00 pm to 09:00 am, and was lower than the average during the period from 09:00 am to 21:00 pm. 4) January has the maximum hourly mean heating intensity of 35.4 ℃·h, followed by December, February, November, March, October, and April had the minimum of only 12.0 ℃·h. 5) The minimum hourly mean heating intensity was at 15:00 pm in March and April, and was at 14:00 pm in other months of the heating period; the maximum hourly mean heating intensity was generally at 07:00 am in January, February and December, and happened at 06:00 am in March, October and November, and 05:00 am in April. The highest hourly mean heating intensity happened from 06:00 am to 08:00 am in mid-January.

Key words

degree-days / degree-hours / Harbin / heating intensity / temperature

Cite this article

Download Citations
LIU Yu-lian, REN Guo-yu. Analysis of Heating Intensity in Harbin Based on Degree-hours Method[J]. JOURNAL OF NATURAL RESOURCES, 2018, 33(1): 139-148 https://doi.org/10.11849/zrzyxb.20161270

References

[1] 贺平, 孙刚, 王飞, 等. 供热工程 [M]. 北京: 中国建筑工业出版社, 2009: 9-34.
[HE P, SUN G, WANG F, et al. Heating Engineering. Beijing: China Architecture & Building Press, 2009: 9-34. ]
[2] 张家诚, 高素华, 潘亚茹. 我国温度变化与冬季采暖气候条件的探讨 [J]. 应用气象学报, 1992, 3(1): 70-75.
[ZHANG J C, GAO S H, PAN Y R. Investigation on the relationship between temperature change and winter heating in China. Journal of Applied Meteorological Science, 1992, 3(1): 70-75. ]
[3] 陈峪, 黄朝迎. 气候变化对能源需求的影响 [J]. 地理学报, 2000, 55(S1): 11-19.
[CHEN Y, HUANG C Y. Impact of climate change on energy demand. Acta Geographica Sinica, 2000, 55(S1): 11-19. ]
[4] 白美兰. 内蒙古地区冬季持续变暖对采暖的影响 [J]. 内蒙古气象, 2001(1): 26-27.
[BAI M L. Impacts of winter continuous warming on heaing in Inner Mongolia. Mongolia Meteorology, 2001(1): 26-27. ]
[5] 轩春怡, 高燕虎, 李慧君. 北京市冬季采暖气候条件分析 [J]. 气象科技, 2003, 31(6): 373-375.
[XUAN C Y, GAO Y H, LI H J. Analysis of heating climatic condition in winter in Beijing. Meteorological Science and Technology, 2003, 31(6): 373-375. ]
[6] 李丽光, 王宏博, 赵先丽, 等. 辽宁中部城市群度日的变化特征 [J]. 气象科学, 2010, 30(3): 387-392.
[LI L G, WANG H B, ZHAO X L, et al. Degree-day characteristics in the city group of middle Liaoning Province. Scientia Meteorologica Sinica, 2010, 30(3): 387-392. ]
[7] 曹洁, 邱粲, 刘烯彬, 等. 山东省采暖与降温度日数的时空分布规律研究 [J]. 气象, 2013, 39(1): 94-100.
[CAO J, QIU C, LIU H B, et al. Study on the temporal and spatial distribution of heating and cooling temperature days in Shandong Province. Meteorological Monthly, 2013, 39(1): 94-100. ]
[8] 胡轶鑫, 刘玉英, 张晨琛, 等. 长白山地区采暖度日特征分析 [J]. 气象与环境学报, 2016, 32(4): 144-149.
[HU Y X, LIU Y Y, ZHANG C C, et al. Characteristics of heating degree daya in the Changbai Mountains. Jorunal of Mereorology and Environment, 2016, 32(4): 144-149. ]
[9] 陈莉, 李帅, 方修琦, 等. 中国严寒和寒冷地区城镇住宅采暖耗能影响因素分析——以吉林省为例 [J]. 地理科学, 2009, 29(2): 212-216.
[CHEN L, LI S, FANG X Q, et al. Influence factor analysis of urban residential heating energy consumption in severe cold and cold regionsin China—A case of Jilin Province. Scientia Geographica Sinica, 2009, 29(2): 212-216. ]
[10] 陈莉, 方修睦, 方修琦, 等. 过去20 年气候变暖对我国冬季供暖气候条件与能源需求的影响 [J]. 自然资源学报, 2006, 21(4): 590-597.
[CHEN L, FANG X M, FANG X Q, et al. Impacts of climate warming on heating climatic conditions and energy requirements over China in the past 20 years. Journal of Natural Resources, 2006, 21(4): 590-597. ]
[11] 陈莉, 李帅, 覃雪, 等. 东北地区采暖气候条件变化特征及预测 [J]. 自然资源学报, 2014, 29(7): 1185-1195.
[CHEN L, LI S, QIN X, et al. Change characteristics and prediction of climatic conditions of heating in Northeast China. Journal of Natural Resources, 2014, 29(7): 1185-1195. ]
[12] 李明财, 郭军, 史珺, 等. 利用采暖/制冷度日分析建筑能耗变化的适用性评估 [J]. 气候变化研究进展, 2013, 9(1): 43-48.
[LI M C, GUO J, SHI J, et al. Applicability evaluation of cooling/heating degree-days in analyzing building energy consumption changes. Advances in Climate Change Research, 2013, 9(1): 43-48. ]
[13] ROSENTHAL D H, GRUENSPECHT H K, MORANET E A. Effects of global warming on energy use for space heating and cooling in the United States [J]. Energy Journal, 1995, 16(2): 77-96.
[14] SATMAN A, YALCINKAYA N. Heating and cooling degree-hours for Turkey [J]. Energy, 1999, 20(10): 833-840.
[15] PAPAKOSTAS K, KYRIAKIS N. Heating and cooling degree-hours for Athens and Thessaloniki, Greece [J]. Renewable Energy, 2005, 30(12): 1873-1880.
[16] BOLATTÜRK A. Optimum insulation thicknesses for building walls with respect to cooling and heating degree-hours in the warmest zone of Turkey [J]. Build and Environment, 2008, 43(6): 1055-1064.
[17] KADIOGLU M, ZEKAI S. Degree-day formulations and application in Turkey [J]. Journal of Applied Meteorology and Climatology, 1999, 38(6): 837-846.
[18] 张海东. 气候变化对我国取暖和降温耗能的影响及优化研究 [D]. 南京: 南京信息工程大学, 2007.
[ZHANG H D. Influence of Climate Change on Warming/Cooling Energy Consumption and Optimization. Nanjing: Nanjing University of Information Science and Technology, 2007. ]
[19] THOM H C S. Seasonal degree day statistics for the United States [J]. Monthly Weather Review, 1952, 80(9): 143-147.
[20] THOM H C S. The rational relationship between hearing degree days and temperature [J]. Monthly Weather Review, 1954, 82(1): 1-6.
[21] THOM H C S. Normal degree days above any base by the universal truncation coefficient [J]. Monthly Weather Review, 1962, 94(7): 461-465.
[22] 中华人民共和国建设部. 采暖通风与空气调节设计规范 (GB50019—2003) [S]. 北京: 中国计划出版社, 2003: 25-350.
[Ministry of Construction, P R china. Code for design of heating, ventilation and air conditioning (GB50019-2003). Beijing: China Planning Press, 2003: 25-350. ]
[23] 刘小宁, 张洪政, 李庆祥. 不同方法计算的气候平均值差异分析 [J]. 应用气象学报, 2005, 16(3): 345-356.
[LIU X N, ZHANG H Z, LI Q X. Analyses on average temperature difference resulted from different calculation methods. Journal of Applied Meteorological Science, 2005, 16(3): 345-356. ]
[24] 中国气象局. 气候季节划分QX/T152—2012 [S]. 北京: 气象出版社, 2012.
[China Meteorological Administration. Climatic Seasons QX/T152-2012. Beijing: China Meteorological Press, 2012. ]
[25] 刘玉莲. 1961—2010年黑龙江省气候季节时空分布及其变化特征 [J]. 气象与环境学报, 2015, 21(2): 89-96.
[LIU Y L. Temporal and spatial distribution of climatic season and its variation from 1961 to 2010 in Heilongjiang Province. Journal of Meteorology and Environment, 2015, 21(2): 89-96. ]
[26] YANG P, REN G Y, LIU W D. Spatial and temporal characteristics of Beijing urban heat island intensity [J]. Journal of Applied Meteorology and Climatology, 2013, 52: 1803-1816.

Funding

The Special Project in Climate Change of China Meteorological Administration, No. CCSF201842; Self-reliance Project of Heilongjiang Province Meteorological Bureau, No. HQ2016026.

PDF(5666 KB)

1135

Accesses

0

Citation

Detail

Sections
Recommended

/