Tool for Small Office Buildings Energy Consumption Estimation

Author(s):  
N. Fumo ◽  
P. J. Mago

Building energy consumption analysis is a difficult task because it depends on the characteristics and interaction among the building, the heating/cooling system, and the surroundings (weather). Since building energy profiles are usually required on an hourly basis, which often is not available for existing buildings, the hourly energy consumption must be estimated or predicted. The dynamic behavior of the weather conditions and building operation makes computer simulations a good practice for reliable solutions. However, energy building computer simulations require considerable amount of detailed input data and user time, which is a drawback for a cost-effective solution. Therefore, simplified models based on statistics or a combination of statistics and simulations may be a better solution with reasonable uncertainty. This paper presents the tool Small Office Hourly Energy Consumption Estimator (SOHECE). The tool estimates hourly building energy consumption for small office buildings. The proposed tool has been developed in Microsoft Excel and it uses simulation data from EnergyPlus benchmark models to convert monthly energy consumption from utility bills into hourly energy consumption. Since benchmark models were developed by the U.S. government to provide a consistent baseline of comparison, energy consumption data from simulations of the benchmark models are considered reasonable representations of energy consumption profiles. Results account for baseline and variable energy consumption for electricity and fuel. The site weather conditions, for which the energy consumption is estimated, are considered using the sixteen climate zones of the U.S. benchmark models. The tool has been applied to a hypothetical building placed in Meridian, MS, and errors obtained for the estimated hourly energy consumption are mainly lower than ten percent.

2014 ◽  
Author(s):  
Nelson Fumo ◽  
Pedro J. Mago ◽  
Emily Ledbury

Building energy consumption analysis is a difficult task because it depends on the characteristics and interaction among the building, the heating/cooling system, and the surroundings. Since the evaluation of building energy consumption usually requires building energy profiles on an hourly basis, which often is not available for existing buildings, the hourly energy consumption must be estimated. The dynamic behavior of the weather conditions and building operation makes computer simulations a good practice for reliable solutions. However, an energy building computer simulation requires a significant amount of experience, time, and effort to enter detailed building parameters, which is a drawback for a cost-effective solution. Therefore, simplified models based on statistics or a combination of statistics and simulations may be a better solution with reasonable uncertainty. This paper presents a tool to estimate hourly building energy consumption for existent office buildings. The proposed tool, developed in Microsoft Excel, uses simulation data from EnergyPlus Commercial Reference Buildings to convert monthly energy consumption from utility bills into hourly energy consumption. Results account for baseline and variable energy consumption for electricity and fuel. The site weather conditions, for which the energy consumption is estimated, are considered using the sixteen climate zones of the U.S.


Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1114
Author(s):  
Ki Ahn ◽  
Han Shin ◽  
Cheol Park

The purpose of the present study was to investigate the relevance of building thermal performance and characteristics to building energy consumption. This paper reports an energy analysis of 4625 office buildings in Seoul, South Korea, using data from the Korean national building energy database and architectural database. The following four research questions were investigated: (1) Do old buildings consume more energy than new ones? (2) Have strict prescriptive building energy codes contributed to the reduction in energy use intensity (EUI, kWh/m2·year) over the past several decades? (3) What are the characteristics of building energy consumption in terms of season, age, and cooling system (electric chiller vs absorption chiller)? (4) Which factors in the Korean building energy database are relevant to building energy consumption? The analyses revealed that, contrary to common assumptions, new buildings did not always consume less energy than old buildings, and it may be wrong to attribute intensification of prescriptive building energy codes directly to building energy efficiency improvements. In addition, the building characteristics (i.e., district, year built, number of floors, number of elevators, and total floor area) available in the Korean building energy database do not adequately explain building energy consumption, and the existing data collection method needs further improvement.


2019 ◽  
Vol 11 (1) ◽  
pp. 266 ◽  
Author(s):  
Yupeng Wang ◽  
Hiroatsu Fukuda

The properties of building envelopes significantly affect indoor building energy consumption, indoor thermal comfort, and building durability. In the current standards for Japanese residential energy efficiency, insulation placement is not well regulated. Meanwhile, it is common in Japan to use air-conditioning intermittently, rather than having the units operate continuously. Therefore, considering specific Japanese lifestyles, we investigated insulation performance. In this research, we: (1) developed the interior insulation to include insulation on walls, ceilings and floors of building units (all of the interior surfaces) to achieve building energy savings by avoiding heat loss through thermal bridges; (2) discussed and demonstrated the effects of high heat capacitance for each of the building components and the thermal bridge by conducting building environmental simulations; (3) conducted simulations in seven cities in Japan and discussed the applicability of these different weather conditions; and (4) compared temperature distributions to investigate differences in indoor comfort with partial heating on winter nights. We demonstrated the energy saving and thermal comfort advantages of interior insulation. This research provides an innovative insulation style based on Japanese lifestyles that contributes to new energy-saving standards and formulations.


2021 ◽  
Vol 13 (2) ◽  
pp. 762
Author(s):  
Liu Tian ◽  
Yongcai Li ◽  
Jun Lu ◽  
Jue Wang

High population density, dense high-rise buildings, and impervious pavements increase the vulnerability of cities, which aggravate the urban climate environment characterized by the urban heat island (UHI) effect. Cities in China provide unique information on the UHI phenomenon because they have experienced rapid urbanization and dramatic economic development, which have had a great influence on the climate in recent decades. This paper provides a review of recent research on the methods and impacts of UHI on building energy consumption, and the practical techniques that can be used to mitigate the adverse effects of UHI in China. The impact of UHI on building energy consumption depends largely on the local microclimate, the urban area features where the building is located, and the type and characteristics of the building. In the urban areas dominated by air conditioning, UHI could result in an approximately 10–16% increase in cooling energy consumption. Besides, the potential negative effects of UHI can be prevented from China in many ways, such as urban greening, cool material, water bodies, urban ventilation, etc. These strategies could have a substantial impact on the overall urban thermal environment if they can be used in the project design stage of urban planning and implemented on a large scale. Therefore, this study is useful to deepen the understanding of the physical mechanisms of UHI and provide practical approaches to fight the UHI for the urban planners, public health officials, and city decision-makers in China.


2021 ◽  
Vol 45 ◽  
pp. 101212
Author(s):  
Shuo Chen ◽  
Guomin Zhang ◽  
Xiaobo Xia ◽  
Yixing Chen ◽  
Sujeeva Setunge ◽  
...  

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