A building’s thermal assessment using dynamic simulation

Rodríguez-Muñoz, Norma A.; Nájera-Trejo, Mario; Alarcón-Herrera, Olivia; Martín-Domínguez, Ignacio R.

doi:10.1177/1420326x16668568

Cited by 5 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Computer simulations can provide a more direct way to observe the movement of people in a complicated space and have been widely used to assist the design or operation of airports. [31][32][33][34][35][36] With the operation data as inputs, the agent based models of 13 typical areas in Figure 4 can be established.…”

Section: Pedestrian Simulationmentioning

confidence: 99%

A spatiotemporal passenger distribution model for airport terminal energy simulation

Xie

Huang

et al. 2022

Indoor and Built Environment

View full text Add to dashboard Cite

Airport terminals provide a safe, convenient and comfortable environment for passengers. Over 50% of energy in terminals was consumed by the HVAC system. The number of passengers and their constant flow distribution in the airport is an important consideration from the operational perspective to influence the energy consumption. This paper proposed a spatiotemporal passenger distribution model. In this model, a terminal was divided into 13 different zones along the departure or arrival process, and the passenger variation for each day was described for each zone. Over a year, 12 monthly average passenger flow values were adopted instead of the peak hour passenger flow to represent the yearly passenger flow distribution. The model was validated by the operation data of the Nanning Airport and compared the data against the validated people movement model of passengers’ flow profile in each zone and occupant densities. The model was then input into an energy simulation software to verify the impact of the passenger flow on energy consumption. Based on the spatiotemporal passenger distribution model, the annual cooling consumption could be reduced by 17.14% compared to results based on the traditional passenger flow calculation method which has a simple assumption of daily constant passenger flow.

show abstract

Section: Pedestrian Simulationmentioning

confidence: 99%

A spatiotemporal passenger distribution model for airport terminal energy simulation

Xie

Huang

et al. 2022

Indoor and Built Environment

View full text Add to dashboard Cite

show abstract

“…Many building energy simulation programs (e.g., BLAST, DeST, DOE-2, ECOTECT, IES, EnergyPlus, TAS, TRNSYS, FLUENT, ESP-r [13], etc.) have been developed over the past few decades [14][15][16][17]. However, the code for energy simulation in buildings often uses heat transfer models based on a one-dimensional heat flow, which can give unreliable results or can calculate only stationary processes [18].…”

Section: Introductionmentioning

confidence: 99%

Computer Simulation of Temperature Distribution during Cooling of the Thermally Insulated Room

2018

View full text Add to dashboard Cite

This paper is devoted to modelling of temperature distribution and its time evolution in rooms with specific thermal insulation and heat transfer for different external conditions. The simulation results should help to design the room architecture and wall materials to reduce energy losses due to heating or cooling, and to increase the inside thermal comfort. For this purpose, a methodological procedure using real data processing in the COMSOL Multiphysics modelling environment and spatial visualization of temperature evolution is proposed. This paper describes a mathematical model for simulation of the temperature evolution inside a space with thermally insulated walls under selected outside conditions. Computer simulations are then used to assess the temperature distribution inside the room and the heat flow through the room walls. Results of the simulations are used for subsequent determination of the time needed for the desired decrease of air temperature inside the tested room during its cooling due to the low ambient temperature, which is related to the thermal stability of the building, specific heat capacity, and thickness of the thermal insulation. Under the studied conditions, the time to reach the temperature drops by 20 percent in a room with windows was from 1.4 to 1.8 times lower than that in the room without windows. The proposed methodology shows the flexibility of computer modelling in the design of insulated building systems. The mesh density testing was performed by comparing the air temperature evolution in the model of the selected mesh density and the model with its maximum value enabled by the size of computer memory. The maximum temperature deviation calculated for the mesh of the presented model was 0.57%.

show abstract

“…Analyzing case #8, which has the same composition as #24 with the difference of the roof insulation, a difference in the total energy demand of up to 10% occurs. It is essential to mention that in previous analysis of office buildings in the studied climate and location(Lucero-Álvarez & Martín- Domínguez, 2016;Norma A Rodríguez-Muñoz, Nájera-Trejo, Alarcón-Herrera, & Martin-Domínguez, 2016;Norma Alejandra Rodríguez-Muñoz, Nájera-Trejo, & Martín-Domínguez, 2018), it was found that the building's global energy demand was lower with terracotta waterproofing instead of white.To present a perspective of this work's outcomes, the energy use per unit square area was compared against office buildings from various locations and climates. For the analyzed building, the total annual energy performance ranges from 35.92 kWh/m 2 to 56.36 kWh/m 2 in cases #24 and #13, respectively.…”

mentioning

confidence: 96%

Evaluation of the thermal performance of construction systems to reduce the energy consumption in buildings: A case study in a cold semi-arid climate

Rodríguez-Muñoz

2020

Acta Universitaria

View full text Add to dashboard Cite

The performance of a three-story laboratory building was analyzed to reduce its annual energy consumption. The analysis was performed through a whole-building simulation approach and dynamic simulations to calculate the potential reduction of heating and cooling energy requirements by evaluating various construction systems. The main objective was to accomplish a decrease in energy consumption without the implementation of sophisticated constructive systems, which are commonly unavailable or unfeasible to apply in developing countries. Therefore, a two-stage analysis was carried out. At the first stage, a set of commonly available construction materials were implemented. From this analysis, it was shown that the use of an insulated concrete wall, double tinted glass, and an insulated terracotta roof corresponds to the optimal combination of materials, resulting in a decrease of 36% on the total annual energy requirements. Finally, from the second stage analysis, where double-wall systems and a green façade were implemented, an additional energy saving of up to 16% was achieved.

show abstract

A building’s thermal assessment using dynamic simulation

Cited by 5 publications

References 12 publications

A spatiotemporal passenger distribution model for airport terminal energy simulation

A spatiotemporal passenger distribution model for airport terminal energy simulation

Computer Simulation of Temperature Distribution during Cooling of the Thermally Insulated Room

Evaluation of the thermal performance of construction systems to reduce the energy consumption in buildings: A case study in a cold semi-arid climate

Contact Info

Product

Resources

About