1. Technology towards
RESEARCH PROJECT PROPOSAL ON
COOLING PERFORMANCE ANALYSIS
OF OFFICE BUILDINGS USING OPEN
STUDIO
Group members:
Dorji Wangchuk
Om Prasad Bhattarai
Ugyen Choda
Tashi Zam
Sangay Choden

2. Technology towards
Outline
1. Introduction
2. Problem statement
3. Research questions
4. Aim and objectives
5. Literature review
6. Methodology
7. Result and discussion
8. Challenges
9. References

3. Technology towards
Introduction
• The cooling performance of a building refers to its ability to
effectively provide cooling and maintain comfortable indoor
conditions during hot weather. It involves several factors that
influence the overall cooling efficiency and effectiveness of the
building's cooling system.
• The performance of these cooling systems directly impacts
energy consumption, occupant satisfaction, and overall building
efficiency.
• Inefficient cooling system account for about 40% of energy use
in commercial buildings and 60% in residential buildings.(US
Department of Energy, 2015). Hence there is a need for us to
study the performance of the cooling system and to take
necessary actions to minimize the energy consumption.

4. Technology towards
• The existing cooling system has several drawbacks such as
high energy consumption, maintenance challenges and
environmental impacts.
• Thus, to address to the above mentioned drawbacks it is
essential for us to assess the cooling performance of the
cooling system.
Problem Statement

5. Technology towards
1. What is the overall cooling performance of the current cooling
system under normal conditions?
2. How does the cooling system's performance vary under
different environmental conditions (e.g., temperature,
humidity)?
3. How does the cooling system perform in terms of energy
efficiency and power consumption?
4. Study and identify the factors contributing to the inefficient
cooling system.
Research Questions

6. Technology towards
Aims: To assess the cooling performance of the cooling system
to minimize the energy consumption and environmental impact.
Objective:
 To design and simulate energy efficient cooling system.
 To identify the factors that contribute to inefficient cooling
system performance.
Aims and Objectives

7. Technology towards
Literature Review
Sl.No Author Title Result
1. Best,
R., &
Rivera,
W.
(2015).
A review of thermal
cooling systems.
• This article provides a comprehensive review of
thermal cooling systems.
• It discusses various cooling technologies and their
applications.
• It can provide you with a general understanding of
different cooling systems and their performance.
2 Gomm
ed, K.,
&
Gross
man,
G.
(2012).
Investigation of an
improved solar-powered
open absorption system
for cooling,
dehumidification, and air
conditioning.
• This article focuses on a solar-powered open
absorption system for cooling, dehumidification, and
air conditioning.
• It describes an improved design for the system and
discusses its performance.
• It can provide you with insights into solar-powered
cooling technologies and their potential advantages.

8. Technology towards
Sl.No Author Title Result
3 .Jakob,
U., et al
(2008).
Simulation and
experimental
investigation into
diffusion absorption
cooling machines for
air-conditioning
applications.
• This article investigates diffusion absorption cooling
machines for air-conditioning applications.
• It includes simulations and experimental studies on the
performance of these cooling machines.
• It can provide you with information on the design and
performance of diffusion absorption cooling systems.
4. Qu, M.,
et al
(2010).
A solar thermal
cooling and heating
system for a building:
Experimental and
model-based
performance analysis
and design.
• This article focuses on a solar thermal cooling and
heating system for buildings.
• It presents experimental and model-based performance
analysis of the system.
• It can provide you with information on the performance
analysis and design considerations of solar thermal
cooling and heating systems.

9. Technology towards
Sl.No Author Title Result
5. Venegas
, M., et
al
(2011).
Experimental
diagnosis of the
influence of
operational variables
on the performance of
a solar absorption
cooling system.
• This article discusses the influence of operational
variables on the performance of a solar absorption
cooling system.
• It presents experimental results and analysis of the
system's performance under different conditions.
• It can provide you with insights into the operational
aspects and performance optimization of solar
absorption cooling systems.
6. Yin, Y.,
et al
(2012).
Experimental
investigation of a mini-
type solar absorption
cooling system under
different cooling
modes.
• This article focuses on an experimental investigation of
a mini-type solar absorption cooling system.
• It examines the system's performance under different
cooling modes.
• It can provide you with information on the experimental
evaluation and performance characteristics of mini-type
solar absorption cooling systems.

10. Technology towards
Approach
Modeling and simulation: Sketch up and Open studio
Data Collection Methods
1. Collection of weather data: Weather station in Dewathang and
NCHM.
2. Modeling and simulation: Use sketch up and open studio to
model and then simulate to analyze the cooling performance
of the cooling system.
Methodology

11. Technology towards
Sketch up
• SketchUp is a suite of subscription products that include
SketchUp Pro Desktop, a 3D modeling Computer-Aided Design
(CAD) program for a broad range of drawing and design
applications — including architectural, interior design, industrial
and product design, landscape architecture, civil and
mechanical engineering, theater, film and video game
development.
About the software

12. Technology towards
Open studio
• Open-Studio is an open-source software development kit and
graphical user interface for energy modeling and analysis of
building designs. It enables users to create detailed building
energy models, simulate energy consumption, and evaluate
energy efficiency measures.
• It supports building geometry creation, HVAC system modeling,
energy analysis using Energy-Plus, evaluation of energy
efficiency measures, parametric analysis, and results
visualization. Open-Studio is freely available and widely used to
promote energy-efficient building design and operation.
About the software

13. Technology towards
Figure 1: Model of the Mechanical Engineering department made using sketch up

14. Technology towards
Sample Size
The sample size could be determined by the number of buildings
being studied.
Data Analysis Tool
• Open studio
Methodology

15. Technology towards
Expected Outcome
Assess the cooling performance of the cooling system and then
to identify the factors contributing to the inefficient cooling
system.
• Overcome variables that contribute to inefficient cooling system:
i. Energy consumption: Help provide estimates of energy
consumption for cooling demands and performance across
different seasons.
ii. Occupant comfort: Provide estimates of thermal comfort
and other factors that influence occupant satisfaction, such
as air quality and noise levels.
Result and Discussion

16. Technology towards
Significance of the Project
 Environmental sustainability: By optimizing the design and
operation of cooling system, the research could help reduce
energy consumption and the impacts on climate change.
 Economic benefits: By improving the energy efficiency of
cooling systems, it will help reduce the operational costs of
buildings. Additionally, optimizing cooling system designs and
operation strategies could lead to increased equipment lifetimes
and reduced maintenance costs.
Result and Discussion

17. Technology towards
The challenges that we are likely to face when doing this project
are :
1.Data availability: Accurate and comprehensive weather data is
not easily available.
2.Limited features of Simulation software
3.System Interactions: Cooling systems often interact with other
systems or environmental factors. Accounting for these
interactions and their impact on cooling performance analysis
can be challenging.
Challenges

18. Technology towards
4. Seasonal Variations: Cooling demands and performance can
vary significantly across different seasons. Analyzing cooling
performance needs to consider the seasonal variations in
weather conditions, load profiles, and energy requirements.

19. Technology towards
Work Plan
Sl.No. Activities Date and Month Status
1 Deciding topic 3rd week, March, 2023 Completed
2 Selection of Literature review 2nd & 3rd week, April, 2023 Completed
3 Preparation of Project Proposal 1st week, May, 2023 completed
4 Proposal presentation 3rd week, May, 2023 Pending
5 Preparation of Proposal report 2nd & 3rd week, May,2023 Completed
6 Simulation software and Design August & September, 2023 Pending
7 Data Collection October, 2023 Pending
8 Data Analysis March, 2024 Pending
9 Result and Discussion April, 2024 Pending
10 Preparation Final Project Report May, 2024 Pending

20. Technology towards
References