Quantitative research of incentive effects of heat-metering policy on energy-saving behavior in Tianjin
Jihong LING, Haitao MA, HuiZhu YU, Jincheng XING
Quantitative research of incentive effects of heat-metering policy on energy-saving behavior in Tianjin
To promote energy efficiency and emission reduction, the Chinese government has invested large amounts of resources in heat-metering reform over the past decade. However, heat-metering, which can reduce energy consumption by 15% at least in developed countries, is still not well known in China. This paper quantitatively analyzed the arousal effect of heat-metering policy on occupancy behavior regarding energy saving utilizing statistics method based on measured data of heating energy consumption of approximately 20000 users from 2008 to 2012 in Tianjin. The statistical data showed significant difference on energy consumption between users based on metering and based on area. The energy-saving rate in the heating season increased significantly from 4.11% in 2008–2009 to 10.27% in 2011–2012 as the implement of the heat-metering policy. The difference in energy-saving according to various outdoor temperatures showed that the energy-saving of occupancy behavior was more significant in a warm season than in a cold season. It also showed that the impact of heat-metering policy would be more pronounced in generally insulated buildings (15.55%) than in better insulated units (6.45%). Besides, this paper proposed some feasible suggestions for the formulation and implementation of heat-metering policy in northern heating areas of China.
heat-metering / occupancy behavior / heating energy consumption / policy
[1] |
Building Energy Research Center (BERC). Annual Report on China Building Energy Efficiency in 2012, Tsinghua University. Beijing: China Architecture & Building Press, 2012 (in Chinese)
|
[2] |
Liu L, Fu L, Jiang Y, Guo S. Major issues and solutions in the heat-metering reform in China. Renewable & Sustainable Energy Reviews, 2011, 15(1): 673–680
CrossRef
Google scholar
|
[3] |
Joachim W. Handbook of Heat Metering in Germany. Beijing: China Architecture & Building Press, 2009 (in Chinese)
|
[4] |
Branco G, Lachal B, Gallinelli P, Weber W. Predicted versus observed heat consumption of a low energy multifamily complex in Switzerland based on long-term experimental data. Energy and Building, 2004, 36(6): 543–555
CrossRef
Google scholar
|
[5] |
Ouyang J, Hokao K. Energy-saving potential by improving occupants’ behavior in urban residential sector in Hangzhou City, China. Energy and Building, 2009, 41(7): 711–720
CrossRef
Google scholar
|
[6] |
Haas R, Auer H, Biermayr P. The impact of consumer behavior on residential energy demand for space heating. Energy and Building, 1998, 27(2): 195–205
CrossRef
Google scholar
|
[7] |
de Meester T, Marique A F, de Herde A, Reiter S. Impacts of occupant behaviours on residential heating consumption for detached houses in a temperate climate in the northern part of Europe. Energy and Building, 2013, 57: 313–323
CrossRef
Google scholar
|
[8] |
Xu B, Fu L, Di H. Field investigation on consumer behavior and hydraulic performance of a district heating system in Tianjin, China. Building and Environment, 2009, 44(2): 249–259
CrossRef
Google scholar
|
[9] |
Santin O G, Itard L, Visscher H. The effect of occupancy and building characteristics on energy use for space and water heating in Dutch residential stock. Energy and Building, 2009, 41(11): 1223–1232
CrossRef
Google scholar
|
[10] |
Xu P, Xu T, Shen P. Energy and behavioral impacts of integrative retrofits for residential buildings: What is at stake for building energy policy reforms in northern China? Energy Policy, 2013, 52: 667–676
CrossRef
Google scholar
|
[11] |
He P. Some methods of deleting inordinate values from measuring data. Aviation Metrology & Measurement Technology, 1995, 15(1): 19–22 (in Chinese)
|
[12] |
Bickel P J, Doksum K A. Mathematical statistics, Oakland: Holden-Day, 1977
|
/
〈 | 〉 |