Hourly consumption profiles of domestic hot water for different occupant groups in dwellings

被引:89
作者
Ahmed, Kaiser [1 ]
Pylsy, Petri [1 ,3 ]
Kurnitski, Jarek [1 ,2 ]
机构
[1] Aalto Univ, Dept Civil Engn, Espoo, Finland
[2] Tallinn Univ Technol, Fac Civil Engn, EE-19086 Tallinn, Estonia
[3] Finnish Real Estate Federat, Helsinki, Finland
关键词
DHW consumption; Hourly profile; Weekday; Weekend; Residential building; RESIDENTIAL SECTOR; APARTMENT BUILDINGS; NEURAL-NETWORKS; HEATING SYSTEM; PERFORMANCE; ENERGY; RESOLUTION; TEMPERATURE; CLIMATE; DEMAND;
D O I
10.1016/j.solener.2016.08.033
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Hourly consumption data of domestic hot water (DHW) is essential to compute the energy demand, and for system sizing. Few on-site measured data and simulation based studies are available to forecast DHW consumption focusing on a daily average, hourly average, appliance consumption, and occupant number. This study derived the hourly DHW profiles for 5 different groups of 1 person, 3 people, 10 people, 31 people and more than 50 people as a function of the number of occupants. Weekday (WD), Weekend (WE) and Total day (TD) consumption variation were analyzed. The study accomplished with on-site hourly DHW consumption measurement from 86 apartments with 191 occupants during one year and findings was also validated against a larger sample from previous study. A specific selection procedure was developed to find out the most representative DHW profile among measured candidates of each group fulfilling the selection criteria. Selected profiles had similar daily consumption (L/per./day) to an average of all profiles and also followed similar consumption pattern during a day. Two sharp peaks with large consumption variance were found in each day and smaller groups had higher consumption during peak hours. Result also found higher evening peak compared to the morning peak and the average consumption of peak hours was 2-4 times higher than non-peaks hours. Morning peaks of WE shifted 2-3 h later from WD's and kept similar position during the evening. Profiles of 5 groups were necessary to normalize with scaling factor to maintain the daily average value. Derived hourly values could be used with monthly factors to deliver hourly profiles of all months and the format of hourly and monthly factors used allows to define DHW consumption in relevant simulation and sizing software. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:516 / 530
页数:15
相关论文
共 53 条
[1]  
Abrams DW, 1996, ASHRAE TRAN, V102, P1038
[2]  
Ahmed K., 2015, YOUNG RES INT C EN E
[3]  
Ahmed K., 2016, CLIMA 2016 P 12 REHV
[4]   Monthly domestic hot water profiles for energy calculation in Finnish apartment buildings [J].
Ahmed, Kaiser ;
Pylsy, Petri ;
Kurnitski, Jarek .
ENERGY AND BUILDINGS, 2015, 97 :77-85
[5]  
[Anonymous], 1997, PREN12977
[6]   Modeling of the space and domestic hot-water heating energy-consumption in the residential sector using neural networks [J].
Aydinalp, M ;
Ugursal, VI ;
Fung, AS .
APPLIED ENERGY, 2004, 79 (02) :159-178
[7]   Measurements of household electricity and domestic hot water use in dwellings and the effect of different monitoring time resolution [J].
Bagge, Hans ;
Johansson, Dennis .
ENERGY, 2011, 36 (05) :2943-2951
[8]   External DHW units for solar combisystems [J].
Bales, C ;
Persson, T .
SOLAR ENERGY, 2003, 74 (03) :193-204
[9]   Advances in household appliances - A review [J].
Bansal, Pradeep ;
Vineyard, Edward ;
Abdelaziz, Omar .
APPLIED THERMAL ENGINEERING, 2011, 31 (17-18) :3748-3760
[10]  
BBR, 2012, REG BYGG BBR 2012