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Analysis of Heat Transfer and Thermal
Environment in a Rural Residential Building for
Addressing Energy Poverty
Presented by :
Adhish Kumar Khadka
079MSEEB003
Pulchowk Campus
Paper review on
Written By:
Yiyun Zhu, Xiaona Fan, Changjiang Wang and Guochen Sang
Analysis of Heat Transfer and
Thermal Environment in a
Rural Residential Building for
Addressing Energy Poverty
Where the
research
was done
What
researchers'
did
What this
research
provides us
• Analysis of Heat
Transfer and Thermal
Environment
• in a Rural Residential
Building
• for Addressing Energy
Poverty
• a typical rural residential
building
• in the Ningxia Hui
Autonomous Region in
Northwest China
• a reference for the design
and construction of rural
residential buildings
• in Northwest China and
similar areas for addressing
energy poverty
Framework
Introduction Methods Results Discussion Conclusion
Introduction
Intro/Contextual
background
Scenario of
Research
location
Literature
review
Outro
Contextual Background
• Why climate change has become global issue?
• Energy consumption of buildings = 40% and still rising
• Contribution of energy efficiency in building to a
sustainable economy
Scenario of Research location
Scenario of Northern China
600 million
residency in
rural area
Energy
consumption
ratio > 10X to
Southern
China
Huge amount
of energy
consumed in
space heating
Mostly buildings
are energy
inefficient
Solid brick wall
and single-
layer glass
window
Large
window/wall
ratio is
commonly
used
Literature Review
• Roberts, D.; Vera-Toscano, E.; Phimister, E. Fuel
poverty in the UK: Is there a difference between rural
and urban areas? Energy Policy 2015, 87, 216–223
• Bouzarovski, S.; Petrova, S.; Sarlamanov, R. Energy
poverty policies in the EU: A critical perspective.
Energy Policy 2012, 49, 76–82.
A report of building energy efficiency in rural China by Evans et al. [7]
found that most of these buildings are very energy inefficient.
Rural energy inefficient buildings, however, are not just
a concern in China, which is a developing country; as
reported by Roberts et al. [12] and Bouzarovski et al.
[13], the level of fuel poverty in the United Kingdom
increased rapidly from 2003 to 2010 due to the dramatic
increase in electricity and gas prices.
• Shan, M.; Wang, P.S.; Li, J.; Yue, J.; Yang, X. Energy and
environment in Chinese rural buildings: Situations,
challenges, and intervention strategies. Build. Environ. 2015,
91, 271–282.
• Liu, J.P.; Wang, L.Y.; Yoshino, Y.; Liu, Y.F. The thermal
mechanism of warm in winter and cool in summer in China
traditional vernacular dwellings. Build. Environ. 2011, 46,
1709–1715.
• Evans, M.; Yu, S.; Song, B.; Deng, Q.Q.; Liu, J.; Delgado, A.
Building energy efficiency in rural China. Energy Policy 2014,
64, 243–251.
Shan et al. [8] and Liu et al. [9] also reported energy
and environmental situations, challenges, and
intervention strategies in Chinese rural buildings.
Outro of Introduction
A brief touch to :
• Why Ningxia Hui Autonomous Region?
• Objective of the study
• Aim of the paper
• Tools used
Methods
Object Selection
Data Acquisition and
Analysis
Object Selection
Data Acquisition and Analysis
Parameters Instruments
Materials
Data
Analysis
Measurement Parameters
Indoor parameters Outdoor parameters
Air temperature Air temperature
Air velocity Solar radiation intensity
Instruments used
Test Parameters Range Accuracy
Test Instrument Type Test Parameters Range Accuracy
Solar radiometer JTDL-4 Solar radiation
intensity
0–2000 W/m2 ±0.2 ◦C
Thermometer and
hydrometer
TESTO175-H Air temperature −20 to 70 ◦C ±0.1 ◦C
Envelope structure
heat transfer
coefficient detector
JTNT-C Interior wall surface
temperature
−20 to 85 ◦C ±0.2 ◦C
Hot wire
anemometer
Testo425 Air velocity 0–20 m/s ±0.03%
Materials
Material Thermal Conductivity (W/m·K)
Solid clay brick 0.81
Mortar plasters 0.93
Glass 1.3
Door (PVC) 0.19
Air 0.024
Data Analysis
Internal Heat transfer
1
3
2
Grashof number
4
Nusselt number
5
Average heat transfer coefficient
Data Analysis
The calculated convective heat transfer coefficient was applied to walls, windows and door surfaces. For which a 2D
model was created in ANSYS software to analyze the heat flux through the building.
Internal Heat transfer
Data Analysis
External Heat transfer
1
A numerical model was created using ANSYS CFX software to
obtain wind velocities near the buildings.
2
3
Results
Temperature Solar radiation Heat flow
Wind
velocities
Temperature
• Outdoor temperature ranged
from -7.6°C to 2.5°C, with a
mean temperature of -2.7°C.
• Indoor average temperature in
the main function room was
9.48°C, while the secondary
function room averaged
4.02°C.
• The average surface
temperature of the west wall
in the main bedroom was
9.45°C.
Solar radiation
• Local sunshine duration was
approximately 11 hours.
• Average solar radiation
intensity was 286 W/m2, with
a peak value of 544.8 W/m2
around 4:00 pm.
• Direct solar radiation
accounted for about 80% of
the total radiation intensity.
Heat flow
• Heat flux at the middle section of
the partition wall between the main
bedroom and the second room was
3.04 W/m2.
• Significant heat flow occurred at the
window corners of the main
bedroom's south and north walls.
• Flow rate from the main bedroom to
the second bedroom through the
partition wall was 55.3 W.
• Heat flow through the north, south,
and west enclosures of the second
bedroom was 260.5 W.
• Installing double-glazed windows
with a 12-mm air gap would reduce
the heat flow rate from the second
bedroom by approximately 7%.
Discussion
Comfortable indoor temperature
Low indoor temperatures and
health impacts
Heat loss and building envelope
Solar radiation and heating
Thermal mass and energy storage
Building orientation and wind
blocking
Energy efficiency measures
Challenges and future
improvements
Conclusion
• Advantages of a typical rural residential building with a south-facing layout
• Computer simulations can be employed to predict the wind velocity
distributions around the building.
• Maximizing solar energy utilization in the area is crucial for space heating
purposes.
• Using double-glazed windows and insulation boards to minimize heat loss
from the room.
• Computational fluid dynamics (CFD) is recommended to obtain the
convective heat transfer coefficient at different locations to conduct heat
flow rate calculations in building energy efficiency analysis,

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paper review.pptx

  • 1. Analysis of Heat Transfer and Thermal Environment in a Rural Residential Building for Addressing Energy Poverty Presented by : Adhish Kumar Khadka 079MSEEB003 Pulchowk Campus Paper review on
  • 2. Written By: Yiyun Zhu, Xiaona Fan, Changjiang Wang and Guochen Sang Analysis of Heat Transfer and Thermal Environment in a Rural Residential Building for Addressing Energy Poverty
  • 3. Where the research was done What researchers' did What this research provides us • Analysis of Heat Transfer and Thermal Environment • in a Rural Residential Building • for Addressing Energy Poverty • a typical rural residential building • in the Ningxia Hui Autonomous Region in Northwest China • a reference for the design and construction of rural residential buildings • in Northwest China and similar areas for addressing energy poverty
  • 6. Contextual Background • Why climate change has become global issue? • Energy consumption of buildings = 40% and still rising • Contribution of energy efficiency in building to a sustainable economy Scenario of Research location
  • 7. Scenario of Northern China 600 million residency in rural area Energy consumption ratio > 10X to Southern China Huge amount of energy consumed in space heating Mostly buildings are energy inefficient Solid brick wall and single- layer glass window Large window/wall ratio is commonly used
  • 8. Literature Review • Roberts, D.; Vera-Toscano, E.; Phimister, E. Fuel poverty in the UK: Is there a difference between rural and urban areas? Energy Policy 2015, 87, 216–223 • Bouzarovski, S.; Petrova, S.; Sarlamanov, R. Energy poverty policies in the EU: A critical perspective. Energy Policy 2012, 49, 76–82. A report of building energy efficiency in rural China by Evans et al. [7] found that most of these buildings are very energy inefficient. Rural energy inefficient buildings, however, are not just a concern in China, which is a developing country; as reported by Roberts et al. [12] and Bouzarovski et al. [13], the level of fuel poverty in the United Kingdom increased rapidly from 2003 to 2010 due to the dramatic increase in electricity and gas prices. • Shan, M.; Wang, P.S.; Li, J.; Yue, J.; Yang, X. Energy and environment in Chinese rural buildings: Situations, challenges, and intervention strategies. Build. Environ. 2015, 91, 271–282. • Liu, J.P.; Wang, L.Y.; Yoshino, Y.; Liu, Y.F. The thermal mechanism of warm in winter and cool in summer in China traditional vernacular dwellings. Build. Environ. 2011, 46, 1709–1715. • Evans, M.; Yu, S.; Song, B.; Deng, Q.Q.; Liu, J.; Delgado, A. Building energy efficiency in rural China. Energy Policy 2014, 64, 243–251. Shan et al. [8] and Liu et al. [9] also reported energy and environmental situations, challenges, and intervention strategies in Chinese rural buildings.
  • 9. Outro of Introduction A brief touch to : • Why Ningxia Hui Autonomous Region? • Objective of the study • Aim of the paper • Tools used
  • 12. Data Acquisition and Analysis Parameters Instruments Materials Data Analysis
  • 13. Measurement Parameters Indoor parameters Outdoor parameters Air temperature Air temperature Air velocity Solar radiation intensity
  • 14. Instruments used Test Parameters Range Accuracy Test Instrument Type Test Parameters Range Accuracy Solar radiometer JTDL-4 Solar radiation intensity 0–2000 W/m2 ±0.2 ◦C Thermometer and hydrometer TESTO175-H Air temperature −20 to 70 ◦C ±0.1 ◦C Envelope structure heat transfer coefficient detector JTNT-C Interior wall surface temperature −20 to 85 ◦C ±0.2 ◦C Hot wire anemometer Testo425 Air velocity 0–20 m/s ±0.03%
  • 15. Materials Material Thermal Conductivity (W/m·K) Solid clay brick 0.81 Mortar plasters 0.93 Glass 1.3 Door (PVC) 0.19 Air 0.024
  • 16. Data Analysis Internal Heat transfer 1 3 2 Grashof number 4 Nusselt number 5 Average heat transfer coefficient
  • 17. Data Analysis The calculated convective heat transfer coefficient was applied to walls, windows and door surfaces. For which a 2D model was created in ANSYS software to analyze the heat flux through the building. Internal Heat transfer
  • 18. Data Analysis External Heat transfer 1 A numerical model was created using ANSYS CFX software to obtain wind velocities near the buildings. 2 3
  • 19. Results Temperature Solar radiation Heat flow Wind velocities
  • 20. Temperature • Outdoor temperature ranged from -7.6°C to 2.5°C, with a mean temperature of -2.7°C. • Indoor average temperature in the main function room was 9.48°C, while the secondary function room averaged 4.02°C. • The average surface temperature of the west wall in the main bedroom was 9.45°C.
  • 21. Solar radiation • Local sunshine duration was approximately 11 hours. • Average solar radiation intensity was 286 W/m2, with a peak value of 544.8 W/m2 around 4:00 pm. • Direct solar radiation accounted for about 80% of the total radiation intensity.
  • 22. Heat flow • Heat flux at the middle section of the partition wall between the main bedroom and the second room was 3.04 W/m2. • Significant heat flow occurred at the window corners of the main bedroom's south and north walls. • Flow rate from the main bedroom to the second bedroom through the partition wall was 55.3 W. • Heat flow through the north, south, and west enclosures of the second bedroom was 260.5 W. • Installing double-glazed windows with a 12-mm air gap would reduce the heat flow rate from the second bedroom by approximately 7%.
  • 23. Discussion Comfortable indoor temperature Low indoor temperatures and health impacts Heat loss and building envelope Solar radiation and heating Thermal mass and energy storage Building orientation and wind blocking Energy efficiency measures Challenges and future improvements
  • 24. Conclusion • Advantages of a typical rural residential building with a south-facing layout • Computer simulations can be employed to predict the wind velocity distributions around the building. • Maximizing solar energy utilization in the area is crucial for space heating purposes. • Using double-glazed windows and insulation boards to minimize heat loss from the room. • Computational fluid dynamics (CFD) is recommended to obtain the convective heat transfer coefficient at different locations to conduct heat flow rate calculations in building energy efficiency analysis,