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MINISTRY OF EDUCATION AND TRAINING HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY AND EDUCATION FACULTY FOR HIGH QUALITY TRAINING GRADUATION PROJECT THERMAL ENGINEERING TECHNOLOGY OPTIMIZE THE COP OF LOCAL AIR CONDITIONING SYSTEM IN THE LAB AT THERMAL WORKSHOP LECTURER: Ph.D DANG HUNG SON STUDENT: NGUYEN TAN AN SKL010111 Ho Chi Minh City, February, 2023 0HCMC UNIVERSITY OF TECHNOLOGY AND EDUCATION FALCUTY FOR HIGH QUALITY TRAINING GRADUATION PROJECT OPTIMIZE THE COP OF LOCAL AIR CONDITIONING SYSTEM IN THE LAB AT THERMAL WORKSHOP NGUYEN TAN AN Student ID: 19147045 Major: THERMAL ENGINEERING TECHNOLOGY Advisor: DANG HUNG SON, PhD Ho Chi Minh city, February 2023 HCMC UNIVERSITY OF TECHNOLOGY AND EDUCATION FALCUTY FOR HIGH QUALITY TRAINING GRADUATION PROJECT OPTIMIZE THE COP OF LOCAL AIR CONDITIONING SYSTEM IN THE LAB AT THERMAL WORKSHOP NGUYEN TAN AN Student ID: 19147045 Major: THERMAL ENGINEERING TECHNOLOGY Advisor: DANG HUNG SON, PhD Ho Chi Minh city, February 2023 HCMC UNIVERSITY OF TECHNOLOGY AND EDUCATION THE SOCIALIST REPUBLIC OF VIETNAM Independence - Freedom – Happiness FALCUTY FOR HIGH QUALITY TRAINING *** *** DEPARMENT: VEHICLE AND ENERGY ENGINEERING Ho Chi Minh City, … / … / … GRADUATION PROJECT ASSIGNMENT Full name of student: Nguyen Tan An Student ID: 19147045 Major: Thermal Engineering Technology Class: 19147CLA2 Full name of Advisor: Dang Hung Son, PhD Phone number: 0909772349 Date of assignment: November, 2022 Date of submission: February, 2023 Name of topic: Optimize the COP of local air conditioning system in the lab at thermal workshop Assignment: - Assignment 1: Learn about simulation using Ansys software - Assignment 2: The standard applies to the thermal comfort zone - Assignment 3: Read scientific articles on Thermal comfort zone and Optimize energy consumption in office buildings - Assignment 4: Learn about Taguchi methodology and Analysis of Variance (ANOVA) methodology - Assignment 5: Collect experimental data, analyze the data by Taguchi and Regression methods, and validate the analyzed data - Assignment 6: Create model by Autodesk Revit software 2019 - Assignment 7: Conduct the simulation to validate the temperature field in the room Final product: - A graduation project of optimizing power consumption in the lab at thermal workshop CHAIR OF THE PROGRAM ADVISOR (Sign with full name) (Sign with full name) HCMC UNIVERSITY OF TECHNOLOGY AND EDUCATION THE SOCIALIST REPUBLIC OF VIETNAM FALCUTY FOR HIGH QUALITY TRAINING Independence - Freedom – Happiness *** *** -Ho Chi Minh City, … / … / 2023 DEPARTMENT: VEHICLE AND ENERGY ENGINEERING ADVISOR’S EVALUATION SHEET Full name of student: Nguyen Tan An Student ID: 19147045 Project title: OPTIMIZE THE COP OF LOCAL AIR CONDITIONING SYSTEM IN THE LAB AT THERMAL WORKSHOP Major: Thermal Engineering Technology Full name of Advisor: Dang Hung Son, PhD EVALUATION Comment on the spirit and working attitude of students Comment on the results of the implementation of the undergraduate thesis 2.1 Structure, way of presenting undergraduate thesis: 2.2 Content: (Theoretical basis, practicality and applicability of the project, research directions can continue to develop) 2.3 Result: 2.4 Existences (if any): Evaluation No Maximum Score Evaluation Section The form and structure of graduation project 30 Correct format with full form and content of entries 10 Objectives, tasks, overview of the topic 10 The urgency of the subject 10 Project Content 50 Ability to apply knowledge of mathematics, science and engineering, social sciences… Ability to perform/analyze/synthesize/evaluate 10 The ability to design and manufacture a system, component, or process that meets a given requirement with realistic constraints 15 Ability to improve and develop 15 Ability to use technical tools, specialized software… Evaluate the applicability of the topic 10 Specific products of graduation project 10 Total Score Achieved Score 100 Conclusion  Allowed protection  No allowed protection Ho Chi Minh City, … / … / 2023 ADVISOR (Sign with full name) HCMC UNIVERSITY OF TECHNOLOGY AND EDUCATION THE SOCIALIST REPUBLIC OF VIETNAM FALCUTY FOR HIGH QUALITY TRAINING Independence - Freedom – Happiness -*** *** DEPARTMENT: VEHICLE AND ENERGY ENGINEERING Ho Chi Minh City, … / … / 2023 PRE-DEFENSE EVALUATION SHEET Full name of student: Nguyen Tan An Student ID: 19147045 Project title: OPTIMIZE THE COP OF LOCAL AIR CONDITIONING SYSTEM IN THE LAB AT THERMAL WORKSHOP Major: Thermal Engineering Technology Full name of reviewer: Dang Thanh Trung, PhD EVALUATION Structure, way of presentation …………………………………………………………………………………………………… …………………………………………………………………………………………………… …………………………………………………………………………………………………… Thesis content: (Theoretical basis, practicality and applicability of the project, research directions can continue to develop) …………………………………………………………………………………………………… …………………………………………………………………………………………………… …………………………………………………………………………………………………… Result achieved: …………………………………………………………………………………………………… …………………………………………………………………………………………………… …………………………………………………………………………………………………… The shortcomings and existence of thesis …………………………………………………………………………………………………… …………………………………………………………………………………………………… …………………………………………………………………………………………………… …………………………………………………………………………………………………… Questions: …………………………………………………………………………………………………… …………………………………………………………………………………………………… …………………………………………………………………………………………………… …………………………………………………………………………………………………… Evaluate: No Maximum score Review section Form and texture of graduation project 30 Correct format with full form and content of entries 10 Objectives, tasks, overview of the topic 10 The urgency of the subject 10 Project content 50 Ability to apply knowledge of mathematics, science and engineering, social sciences… Ability to perform/analyze/synthesize/evaluate 10 The ability to design and manufacture a system, component, or process that meets a given requirement with realistic constraints 15 Ability to improve and develop 15 Ability to use technical tools, specialized software… Evaluate the applicability of the topic 10 Specific products of the project 10 Total score Achieved Score 100 Conclusion  Allowed protection  No allowed protection Ho Chi Minh City, … / … / 2023 REVIEWER (Sign with full name) HCMC UNIVERSITY OF TECHNOLOGY AND EDUCATION THE SOCIALIST REPUBLIC OF VIETNAM FALCUTY FOR HIGH QUALITY TRAINING Independence - Freedom – Happiness -*** *** DEPARTMENT: VEHICLE AND ENERGY ENGINEERING Ho Chi Minh City, … / … / 2023 EVALUATION SHEET OF DEFENSE COMMITTEE MEMBER Full name of student: Nguyen Tan An Student ID: 19147045 Project title: OPTIMIZE THE COP OF LOCAL AIR CONDITIONING SYSTEM IN THE LAB AT THERMAL WORKSHOP Major: Thermal Engineering Technology Full name of Defense Committee Member: …………………………………………………… EVALUATION Structure, way of presentation …………………………………………………………………………………………………… …………………………………………………………………………………………………… …………………………………………………………………………………………………… Project content: (Theoretical basis, practicality and applicability of the project, research directions can continue to develop) …………………………………………………………………………………………………… …………………………………………………………………………………………………… …………………………………………………………………………………………………… Result achieved: …………………………………………………………………………………………………… …………………………………………………………………………………………………… …………………………………………………………………………………………………… The shortcomings and existence of project …………………………………………………………………………………………………… …………………………………………………………………………………………………… …………………………………………………………………………………………………… Questions: …………………………………………………………………………………………………… …………………………………………………………………………………………………… …………………………………………………………………………………………………… Evaluate: No Maximum score Review section Form and texture of graduation project 30 Correct format with full form and content of entries 10 Objectives, tasks, overview of the topic 10 The urgency of the subject 10 Project content 50 Ability to apply knowledge of mathematics, science and engineering, social sciences… Ability to perform/analyze/synthesize/evaluate 10 The ability to design and manufacture a system, component, or process that meets a given requirement with realistic constraints 15 Ability to improve and develop 15 Ability to use technical tools, specialized software… Evaluate the applicability of the topic 10 Specific products of the project 10 Total score Achieved Score 100 Conclusion  Allowed protection  No allowed protection Ho Chi Minh City, … / … / 2023 COMMITTEE MEMBER (Sign with full name) GRADUATION PROJECT ADVISOR: DANG HUNG SON, PhD Figure 3.71 Velocity Field at plane (YZ-axis) Figure 3.72 Velocity Field at the cross section from the floor (XY axis) 82 GRADUATION PROJECT ADVISOR: DANG HUNG SON, PhD Figure 3.73 Velocity Field being 400mm from the floor (XY axis) Figure 3.74 Velocity Field being 800mm from the floor (XY axis) 83 GRADUATION PROJECT ADVISOR: DANG HUNG SON, PhD Figure 3.75 Velocity Field being 1200mm from the floor (XY axis) Figure 3.76 Velocity Field being 1600mm from the floor (XY axis) The results show that the velocity field of some planes at different heights satisfies the thermal comfort zone condition c) Streamline 84 GRADUATION PROJECT ADVISOR: DANG HUNG SON, PhD Figure 3.77 Streamline starts from Inlet Figure 3.78 Streamline Vertex start from Inlet From the result of streamline, the air distribution is even, so the mounting position of the IDU is reliable 3.3.3 Check Grid Independence To check grid independence, I have been re-established mesh method which is 85 GRADUATION PROJECT ADVISOR: DANG HUNG SON, PhD tetrahedrons, and conducting simulation Figure 3.79 Select to Method Mesh Figure 3.80 Tetrahedrons Method Figure 3.81 Skewness Quality Figure 3.82 Aspect Ratio Quality 86 GRADUATION PROJECT ADVISOR: DANG HUNG SON, PhD Figure 3.83 Temperature Field with Automatic Method Mesh Figure 3.84 Temperature Field with Tetrahedrons Mesh Figure 3.85 Temperature Field with Automatic Method Mesh Figure 3.86 Temperature Field with Tetrahedrons Mesh Figure 3.87 Temperature Field with Figure 3.88 Temperature Field with Automatic Method Mesh Tetrahedrons Mesh After meshing, the result saw that temperature field is unchanged Its mean that it is the grid independence 87 GRADUATION PROJECT ADVISOR: DANG HUNG SON, PhD CHAPTER 4: DISCUSSION Table 25 Experimental temperature value being 400mm from the floor Position Experiment (℃) 19.8 18.5 18.1 19.8 19.3 20.1 19.3 Simulation (℃) 20.3 19 18.1 19 19.5 19 20.3 Deviation (%) 2.53 2.7 4.04 1.04 5.5 5.2 Temperature Graph between Experiment and Simulation Temperature oC 25 20 15 10 5 Postion Experiment Simulation Figure 4.1 Temperature graph following by table 27 From a height of 400mm, Temperature field of experiment saw that the highest value and the lowest is 20.1 (℃) and 18.1 (℃), respectively Temperature field of simulation witnessed that the highest value and the lowest value is 20.3 and 18.1, respectively Table 26 Experimental temperature value being 800mm from the floor Position Experiment (℃) 20.6 23.1 22.1 23 21.9 22.1 17.9 Simulation (℃) 21 22.9 21.9 21.5 21.6 22.1 18.6 Deviation (%) 1.9 0.87 0.9 6.5 1.37 3.9 88 GRADUATION PROJECT ADVISOR: DANG HUNG SON, PhD Temperature oC Temperature Graph between Experiment and Simuation 25 20 15 10 5 Experiment 20.6 23.1 22.1 23 21.9 22.1 17.9 Simulation 21 22.9 21.9 21.5 21.6 22.1 18.6 Position Experiment Simulation Figure 4.2 Temperature graph following by table 28 From a height of 800mm, Temperature field of experiment saw that the highest value and the lowest value is 23.1 (℃) and 20.6 (℃), respectively Temperature field of simulation witnessed that the highest value and the lowest value is 22.9(℃) and 21(℃), respectively Table 27 Experimental temperature value being 1200mm from the floor Position Experiment (℃) 20.3 21.9 22.4 22.2 21 20.8 19.8 Simulation (℃) 19.7 20.6 19.7 19.7 18.9 18.9 18 Deviation (%) 2.9 1.35 8.04 11.3 10 9.1 9.1 Temperature Graph between Experiment and Simulation Temperature oC 25 20 15 10 5 Position Experiment Simulation Figure 4.3 Temperature graph following by table 29 From a height of 1200mm, Temperature field of experiment saw that the highest 89 GRADUATION PROJECT ADVISOR: DANG HUNG SON, PhD value and the lowest is 22.4 (℃) and 20.3 (℃), respectively Temperature field of simulation witnessed that the highest value and the lowest value is 20.6 and 18.9, respectively After simulation and experiment, the result shows a small deviation (fluctuation from to 10 %) It shows that the simulation results are very reliable The distribution of airflow, temperature, and velocity in the room is numerically calculated for winter conditions to explain thermal comfort For this purpose, simulation of the realizable 𝑘 − 𝜀 model has been widely used and its success in verification studies In this study, with a set temperature of 22 degrees Celsius, wind speed of 5.1 m/s, the thermal comfort zone was achieved The temperature around occupants ranges from 21 to 23 degrees Celsius [11] 90 GRADUATION PROJECT ADVISOR: DANG HUNG SON, PhD CHAPTER 5: CONCLUSIONS AND FUTURE WORK 5.1 Conclusions Based on the processed data, the relationship between these parameters and the COP through Experiment, Simulation, Taguchi Analysis and Regression Analysis According to the optimal analysis method of Taguchi, the results show that the factor affecting the COP most is Setting Air Velocity According to the figure 3.3 and 3.4 the optimal setup plan is: - Setting Temperature: 22 ℃ - Setting Air Velocity: Level - Condenser Cooling Method: Watering directly on the condenser According to Regression analysis, I find that P-Value of CCM is 0.036 and that of TEMP*CCM is 0.009, both of them are less than 0.05, its mean that CCM and TEMP factors is a significant interaction After I perform the validation, the experimental results show that it is very similar to the data analyzed above The COP indicated the highest value in the surveyed case as shown in the table 19 To test occupant’s satisfaction in the thermal comfort zone, I use simulation to analyze its temperature field After analysis, the simulation results are very similar to the experimental values, showing that the temperature fields in the room and around occupant achieving the thermal comfort zone conditions according to TCVN 5687 – 2010 [11] (fluctuate from 21 to 23 degrees Celsius) C), shown in Table 28 and Figure 3.91 5.2 Future work Future work should be conducted to included factors relate to occupant’s behavior In addition, we should conduct prediction for different classes in schools, but it does not take into account dynamic changes of the indoor environment Moreover, in school, it is essential to provide Indoor Environment Quality, as occupants can be particularly vulnerable in these environments In particular, it is fundamental to provide thermal comfort and indoor air quality without compromising energy consumption, so further work should address this issue 91 GRADUATION PROJECT ADVISOR: DANG HUNG SON, PhD Reference [1] cihub.vn [2] QCVN 06 – 2021 – BXD [3] “Đánh giá, mô yếu tố ảnh hưởng đến phân phối gió hệ thống điều hịa khơng khí vùng khơng gian nhỏ hẹp xưởng nhiệt” – Nguyễn Nhật Tân, Hồ Thanh Tuấn, Nguyễn Khoa Duy Thức, Phạm Thanh Ca – Đồ Án Tốt Nghiệp – TP HCM, tháng 01 năm 2021 [4] Prediction and optimization of thermal comfort, IAQ and energy – Fangli Hou, Jun Ma, Helen H.L Kwok, Jack C.P Cheng – Building and Environment – September 2022 [5] Development of a thermal control algorithm using artificial neural network models for improved thermal comfort and energy efficiency in accommodation buildings - Jin Woo Moon , Sung Kwon Jung - Applied Thermal Engineering 103 (2016) 1135–1144 [6] Thermostat strategies impact on energy consumption in residential buildings – Jin Woo Moon, Seung-Hoon Han – Energy and Buildings 43 (2011) 338 – 346 [7] dieuhoatanphat.com [8] generalac.ae [9] www.iqsdirectory.com [10] Hướng dẫn thiết kế hệ thống điều hịa khơng khí – PGS TS Nguyễn Đức Lợi, NXB Khoa học kỹ thuật, 2005 [11] TCVN 5687 -2010 – Tiêu chuẩn thiết kế điều hòa khơng khí, thơng gió [12] advancecad.edu.vn [13] ANSYS Fluent Theory Guide 15 [14] cfdways.com [15] vietbimcoder.com [16] TS Trần Văn Khiêm, Phương pháp Taguchi ứng dụng tối ưu hóa chế độ cắt, 2017 [17] Chapter Analysis of variance (ANOVA) – Statistics for Anthropology – Cambridge University Press – June 2012 – 1998 [18] ED 01-707 - FT FVM Series [19] An innovative analysis and experimental investigation on energy savings of a VAV system in hot and humid climates - K.H Yang, M.M Ting - Building and Environment 35 (2000) 27–31 92 GRADUATION PROJECT ADVISOR: DANG HUNG SON, PhD [20] A review on buildings energy consumption information - Luis Pe´rez-Lombard, Jose´ Ortiz, Christine Pout - Energy and Buildings 40 (2008) 394–398 [21] Numerical Investigation of Thermal Comfort and Indoor Air Quality In An Office Room Using Floor Heating System - Bahadır Erman YÜCE, Erhan PULAT - Conference Paper – April 2019 [22] Workplace productivity and individual thermal satisfaction - Shin-ichi Tanabe, Masaoki Haneda, Naoe Nishihara - Building and Environment 91 (2015) 42-50 [23] Thermal Comfort in Office Buildings - Ancuta Nadia JURCO, Iacob Liviu SCURTU - Article · January 2019 [24] Thermal Comfort Analysis for Office Room Using Computational Fluid Dynamics: A Review – Rajnish Kumar Gautam, Ravindra Mohan – IJO SCIENCE – OCTOBER 2018 [25] Simulation of thermal comfort on public space and buildings around river in Banjarmasin-Indonesia – A Rahman - IOP Conf Series: Materials Science and Engineering 1212 (2022) 012008 [26] Exploring the impact of perceived control on thermal comfort and indoor air quality perception in schools – Giulia Torriani, Giulia Lamberti, Fabio Fantozzi, Francesco Babich – Journal of Building Engineering 63 (2023) 105419 [27] Identification of Comfortable Zone of an Air-conditioned Room with respect to the Room Dimensions and Position of A/C unit Mounted - VN Vithanage, HMKP Jayathilaka, HPA Jayamini, Nimali MSD - Conference Paper · September 2022 93 GRADUATION PROJECT ADVISOR: DANG HUNG SON, PhD APPENDIX Appendix A: No Ex TEMP AIR VELO CCM COPR1(10h) COPR2(13h) COPR3(16h) AVE-COP 21 1 5.13 4.72 4.79 4.88 21 5.35 5.14 5.12 5.20 21 5.64 5.51 6.13 5.76 22 5.44 5.73 5.44 5.54 22 3 5.70 5.32 5.71 5.58 22 5.85 5.13 5.47 5.48 23 5.21 4.79 4.86 4.95 23 5.81 5.03 5.46 5.43 23 5.45 5.11 5.17 5.24 Appendix B: Temperature (°𝑪 ) 9h 22 10h 22 11h 22 12h 22 13h 22 Appendix C: Time Time 10h No Ex Air Velocity (m/s) 5 5 TEMP 21 21 21 22 22 22 23 23 AIR VELO 5 94 CCM Q0 (W) N (W) COP 3 3 6920 6600 6460 6090 6330 1140 1000 1170 1110 1150 6.08 6.61 5.54 5.48 5.52 CCM 3 COP 5.13 5.35 5.64 5.44 5.70 5.85 5.21 5.81 GRADUATION PROJECT 13h 16h 9 ADVISOR: DANG HUNG SON, PhD 23 21 21 21 22 22 22 23 23 23 21 21 21 22 22 22 23 23 23 5 5 5 2 3 2 3 95 5.45 4.72 5.14 5.51 5.73 5.32 5.13 4.79 5.03 5.11 4.79 5.12 6.13 5.44 5.71 5.47 4.86 5.46 5.17 S K L 0

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