Coupling building energy simulation software with microclimatic simulation for the evaluation of the impact of urban outdoor conditions on the energy consumption and indoor environmental quality

2017 ◽  
Vol 157 ◽  
pp. 101-115 ◽  
Author(s):  
Kostantinos Gobakis ◽  
Dionysia Kolokotsa
2012 ◽  
Vol 178-181 ◽  
pp. 147-150
Author(s):  
Nan Wang ◽  
Mahjoub Elnimeiri

This research explores the influence of different street geometry towards reducing the energy consumption in buildings by utilizing building energy simulation software. In different climate condition, the different street geometry has different influence on building’s energy consumption. This influence is quantified in this research. It is found that in three climate zones – Beijing, Shanghai and Guangzhou, the energy consumption of buildings is changed according to different H/W ratio of buildings. This finding determines that the optimum street geometry will be different in these climate zones. The designers should consider such difference before doing architecture or urban planning work. This research will also provide some suggestions and recommendations to the energy-efficient community design based on the findings.


Facilities ◽  
2017 ◽  
Vol 35 (11/12) ◽  
pp. 684-695 ◽  
Author(s):  
Iman Asadi ◽  
Norhayati Mahyuddin ◽  
Payam Shafigh

Purpose The purpose of this paper is to review the concept of occupant behavior and its relation with indoor environmental quality (IEQ) and building energy consumption. The behavior is referred to any direct or indirect action, which is selected by an occupant to manage the unpleasant indoor environmental conditions. Thermal comfort, indoor air quality, aural comfort and visual comfort are the key factors of IEQ evaluation. Human behavior significantly interacts with energy consumption in buildings. Design/methodology/approach Each IEQ parameter was reviewed separately and the overall IEQ acceptance was considered. In addition, this paper reviews the methods that were used to measure and simulate the IEQ factors, energy consumption and human behavior. Finally, the lack of knowledge in this field is based on the review demonstrated. Findings Most studies considered one or two IEQ factors to evaluate IEQ acceptance in buildings. Further, weakness of simulating all IEQ factors at the same time is the deficiency of IEQ simulation, based on reviews. In the case of occupant behavior simulation, the uncertainly of human psychological parameter is a drawback to predict behavior. Originality/value Energy consumption, occupant health and productivity are related to IEQ. Human behavior affects building energy consumption directly. Simulation software and methods can predict IEQ factors and human behavior. Therefore, reviewing the existing studies is critical to find new methods for measuring and simulating IEQ, energy consumption and human behavior in buildings.


2018 ◽  
Vol 38 ◽  
pp. 03019 ◽  
Author(s):  
Jun Zhang ◽  
Ri Yi Li

Building energy simulation is an important supporting tool for green building design and building energy consumption assessment, At present, Building energy simulation software can't meet the needs of energy consumption analysis and cabinet level micro environment control design of prefabricated building. thermal physical model of prefabricated building is proposed in this paper, based on the physical model, the energy consumption calculation software of prefabricated cabin building(PCES) is developed. we can achieve building parameter setting, energy consumption simulation and building thermal process and energy consumption analysis by PCES.


Author(s):  
M E Crowley ◽  
M S J Hashmi

The stability of numerical methods used for finite difference thermal modelling of buildings is discussed. A known instability in a commonly used process is described and alternative numerical methods with suitable stability properties are identified. With a view to selecting the optimum numerical method, the building energy simulation problem is characterized mathematically and appropriate implicit solvers are compared on the basis of accuracy and computational effort using a building-related test problem prepared for this purpose. A recently developed numerical method with the necessary strong stability is found to possess higher computational efficiency than methods frequently used in this application and it is recommended for inclusion in building energy simulation software.


Author(s):  
Long Phan ◽  
Cheng-Xian Lin ◽  
Mirko Schäfer

In this paper, a building energy simulation code, EnergyPlus, was used to study selected important conditions, i.e. wall boundary conditions and locations, which potentially affect the energy consumption and thermal management of a popular data center model. The data center model having 1120 servers distributed in four rows of rack was investigated under two major climate conditions — hot and humid (Miami, FL), and cool and humid (Chicago, IL), and under five different wall boundary conditions. The data center model was first simulated under a well-mixed single-zone condition as a baseline. Then, a multi-zone approach was proposed to resolve the hot and cold aisles and used to investigate the data center performance. Both monthly and annual overall energy consumption as well as cooling load reports were analyzed and compared among various boundary conditions. In addition, monthly thermal behavior of hot and cold aisle zones within the data center was analyzed. The simulation results show that thermal performance of the data center is significantly affected by locations or climate conditions. The effects of location and wall boundary conditions are particularly appreciable during the summer and winter seasons.


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