Taiwan Household Occupancy Pattern for Residential Energy Simulation

• Main Authors: Yohana Natalia Cahyono Tjio, 蔣慧玲
• Other Authors: YUN-SHANG CHIOU
• Format: Others
• Language: en_US
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/27500606931418406074

碩士 === 國立臺灣科技大學 === 建築系 === 104 === Occupant behavior have a big impact towards household energy consumption. Time Use Space (TUS) survey database immediately become the main fundamental factor in this research. This research is the first research in Taiwan that uses TUS Survey Database as the main source of occupant variable on household energy consumption’s studies. TUS data are derived from previous research study that accommodate a high-detail occupant’s daily activities information study that recorded every 15 minutes, this data then mapped into sub-house and sub-hour data to generate an occupant, equipment, and system (heating, ventilation air conditioner, lighting, and domestic hot water) load profile schedules. Household is a high-complexity system, because household is formed from occupant-dwelling-external factor relationship. Thus, a method, user behavior modeling approach (5W1H), is needed to improve the basic occupant data to more dynamic household data. A family of four with the composition of parents and two children is selected to be the household system of this research. Actual residential building, Low-Rise and High Rise Residential units from Min-Sheng Community, are selected to be the dwelling system in this research. In order to generate a reliable research’s outcomes, building energy modeling specification and settings are adapted from Taiwan’s climate and build based on Taiwan building characteristic, construction, and material. A framework for energy consumption, Socio-Technical Systems of Household Energy Consumption (STS HECCE), describes household energy consumption is influenced by three factors: dwelling system, occupant system, and socio-demographic system. The use of other theory and other Min-Sheng community systems are combined together with this framework in order to make an integrated framework for this Min-Sheng Community Household Occupant Pattern for Residential Building Simulation’s research work. Design Builder is used as research modeling platform to run the analysis of the energy-related impacts of all building components, including the building location, material, layout configuration, heating, ventilation, and air conditioning (HVAC), domestic hot water (DHW), lighting, and equipment as well as the impact of occupancy behavior pattern in sub-house and sub-hour detail simulation. This research data then analyzed in general analysis and detailed simulation analysis. Several categories are selected to sharpen up the output of research analysis for example in-out house TUS pattern, season, weekday-Friday-weekend activity, and socio-demographic factor (economy status, education status and household demographic). Socio-demographic system in detail contains, economy ability the data is categorized into poor and rich categories, education grade categorized into early grade student and senior grade student categories, and from household demographic factor the data is classified into family with working parents and active and family with housewife composition. From this research study, socio-demographic system are have a big role towards household energy consumption and also influenced the other variables. Simulation result gives a detailed understanding about factor that driving of Taiwan Energy Consumption. Finally, the simulation result revealed some appealing findings about contradiction between government policies and social justice issue considering household energy consumption pattern in Taiwan.