Energy and resource optimization in building smart city using multiverse optimizer (mov) algorithm

VIETNAM NATIONAL UNIVERSITY HO CHI MINH CITY HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY LÊ VĂN TRỌNG ENERGY AND RESOURCE OPTIMIZATION IN BUILDING SMART CITY USING MULTIVERSE OPTIMIZER (MOV) ALGORITHM Major: CONSTRUCTION MANAGMENT Major code: 8580302 MASTER’S THESIS HO CHI MINH CITY, July 2023 THIS THESIS IS COMPLETED AT HO CHI MINH UNIVERSITY OF TECHNOLOGY – VNU – HCM CITY Supervisor: Associate Prof Pham Vu Hong Son Examiner 1: Dr Nguyen Anh Thu Examiner 2: PhD Nguyen Van Tiep This master’s thesis is defended at HCM city University of Technology, VNU-HCM City on 12th, July, 2023 Master’s Thesis Committee: Chairman Associate Prof Do Tien Sy Secretary Associate Prof Luong Duc Long Examiner Dr Nguyen Anh Thu Examiner PhD Nguyen Van Tiep Member Dr Nguyen Thanh Viet Approval of the Chairman of the Master’s Thesis Defense Council and the Dean of faculty of Civil Engineering after the thesis being corrected CHAIRMAN OF THE COUNCIL DEAN OF FACULTY OF CIVIL ENGINEERING i VIETNAM NATIONAL UNIVERSITY HO CHI MINH CITY HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY SOCIALIST REPUBLIC OF VIETNAM Independence – Freedom - Happiness THE TASK SHEET OF MASTER’S THESIS Full name: LÊ VĂN TRỌNG Student code: 2192017 Date of birth: 26/01/1992 Place of birth: HCM city Major : Construction Management Major code : 8580302 I THESIS TOPIC: Energy and Resource Optimization in Building Smart City Using Hybrid-Multiver Optimizer (MOV) Algorithm Tối Ưu Năng Lượng Và Tài Nguyên Trong Xây Dựng Thành Phố Thông Minh Sử Dụng Thuật Toán Lai Đa Vũ Trụ (MVO) II TASKS AND CONTENTS: Energy optimisation artificial intelligence (Ai) in construction management III TASKS STARTING DATE : October 2022 IV TASKS ENDING DATE : August 2023 V INSTRUCTOR : Associate Professor Pham Vu Hong Son HCM City, August 2023 INSTRUCTOR HEAD OF DEPARTMENT Pham Vu Hong Son DEAN OF FACULTY OF CIVIL ENGINEERING ii ACKNOWLEDGEMENT First and foremost, I would like to show my appreciation to my enthusiastic thesis instructor and advisor, Ph.D./Associate Prof Pham Vu Hong Son, for his invaluable guidance and unwavering support throughout this research journey His expertise, constructive feedback, and insightful suggestions have played a pivotal role in guiding and give me direction for my thesis from begging to the end I am extremely appreciative for his devotion, persistence, and willingness to share his knowledge, which have greatly enriched my understanding of the subject matter I am fortunate to have had the opportunity to work under his mentorship, and I extend my heartfelt thanks for his valuable contributions to this research iii ABSTRACT The increasing demand for clean and efficient energy for construction industry, especially for developing and managing smart cities has led to the development of microgrids Common problems with these strategies are the demand and supply of the energy constantly conflicted, as a result, the energy usage frequently inefficient To solve this problem, optimization techniques and heuristics methods are utilized Mathematical optimization procedures can acquire optimum results, but they are only suitable for small-scale problems For large-scale situation, artificial intelligence techniques have been applied In this thesis, a Hybrid version of the multi-verse optimizer (MVO) and the Sine Cosine Algorithm (SCA) is introduced to advance the exploration and exploitation balance of the standard MVO algorithm The proposed hybrid algorithms also find improved optimal solutions for energy optimization by illustrating its searching ability with diverse search space problems As a result, the proposed algorithm will demonstrate its availability to solve real unknown search space construction and non-construction problems Keywords: Energy management, Hybrid multi-verse optimizer (MVO), Artificial intelligent, Smart city iv TÓM TẮT LUẬN VĂN THẠC SĨ Nhu cầu ngày tăng lượng hiệu ngành xây dựng, đặc biệt cho việc phát triển quản lý thành phố thông minh, dẫn đến việc phát triển mạng lưới nhỏ Vấn đề phổ biến với chiến lược xung đột nhu cầu cung cấp lượng, dẫn đến việc sử dụng lượng thường không hiệu Để giải vấn đề này, kỹ thuật tối ưu hóa phương pháp thơng minh áp dụng Các quy trình tối ưu hóa tốn học đạt kết tối ưu, chúng phù hợp với vấn đề quy mơ nhỏ Đối với tình quy mơ lớn, kỹ thuật trí tuệ nhân tạo áp dụng Trong luận văn này, phiên Hybrid thuật toán tối ưu hỗn hợp multi-verse (MVO) thuật toán Sine Cosine (SCA) giới thiệu để cải thiện cân việc khám phá khai thác thuật toán MVO tiêu chuẩn Các thuật tốn hybrid đề xuất tìm kiếm giải pháp tối ưu cải thiện cho việc tối ưu hóa lượng cách minh họa khả tìm kiếm với vấn đề khơng gian tìm kiếm đa dạng Kết là, thuật toán đề xuất chứng minh tính khả thi việc giải vấn đề xây dựng không xây dựng khơng gian tìm kiếm thực Từ khóa: Quản lý lượng, Tối ưu hỗn hợp multi-verse (MVO), Trí tuệ nhân tạo, Thành phố thông minh v AUTHOR’S COMMITMENT The undersigned below: Name : Le Van Trong Student ID : 2192017 Place and date of born : Ho Chi Minh City, 26th January 1992 Address : 687 Lac Long Quan, Ward 10, Tan Binh District, Ho Chi Minh City With this declaring that the master thesis entitled “Energy And Resource Optimization in Building Smart City Using Multiverse Optimizer (MOV) Algorithm” is done by the author under supervision of the instructor All works, ideas, and material that was gain from other references have been cited in the corrected way Ho Chi Minh City, August 06 2023 Le Van Trong vi TABLE OF CONTENTS THE TASK SHEET OF MASTER’S THESIS i ACKNOWLEDGEMENT ii ABSTRACT iii TÓM TẮT LUẬN VĂN THẠC SĨ iv AUTHOR’S COMMITMENT v TABLE OF CONTENTS vi LIST OF FIRGURES viii INTRODUCTION 1.1 Research Problem 1.2 Research Objectives: 1.3 Scope of study 10 1.4 Research Methodology 12 1.5 Academic and Practical Significances 14 LITERATURE REVIEW 15 2.1 Definition of Smart City 15 2.2 Energy/Resource optimization in Construction 16 2.3 Energy Optimization in Smart city construction 17 2.4 Problem Dimension: 19 2.4.1 Problem Dimension: 19 2.4.2 Constraints: 20 2.4.3 Objective Function 21 2.5 Related Studies: 22 2.6 Research Gap: 25 MODEL DEVELOPMENT 30 3.1 Multiverse Optimizer (MVO) 30 3.2 Sine Cosine Algorithm (SCA) 36 3.3 Hybrid Multiverse – Sincos Algorithm (hMVO) for Smart city construction energy cost effective optimization 41 3.3.1 Cost effective optimization 41 3.3.2 Hybrid Multiverse – Sincos Algorithm (hMVO) 42 3.3.3 Hybrid Multiverse – Sincos Algorithm (hMVO) for Smart city construction energy cost effective optimization 44 MODEL VALIDATION 47 vii 4.1 Case Study 1: 47 4.2 Case Study 2: 52 CONCLUSION AND RECOMMENDATION 56 5.1 Conclusion 56 5.2 Recommendation: 59 5.2.1 Demonstration Projects, networking and education: 59 5.2.2 Government Incentives and Policies 60 5.2.3 Research and Development 61 5.3 Future Research 62 5.4 Research Implication 63 5.4.1 Practical implication 63 5.4.2 Academic implication 64 REFERENCES 66 APPENDICES 71 MVO.py 72 MVO_SCA.py 72 Model 74 Constant.py 75 Main_run.py 76 Show result 79 Run_mvo.py 79 Run_mvo_sca.py 80 Utils.py 80 Case output: 83 Case output: 85 PROFILE 87 viii LIST OF FIRGURES Figure 1-1 Energy Optimization in smart city project Figure 1-2 Research objectives Figure 1-3 Scope of study 10 Figure 1-4 Research Flowchart 12 Figure 3-1 Conceptual model of the proposed MVO algorithm 31 Figure 3-2 Wormhole existence probability (WEP) versus travelling distance rate (TDR) 32 Figure 3-3 Flow chart of MVO 35 Figure 3-4 Effects of Sine and Cosine regarding equation (12) and equation (13) on the next position 37 Figure 3-5 Sine and cosine with range of [−2,2] 38 Figure 3-6 Sine and cosine with the range in [−2,2] allow a solution to go around (inside the space between them) or beyond (outside the space between them) the destination 39 Figure 3-7: The model gradually reduces the range of the Sine and Cosine functions 39 Figure 3-8 Flow chart of MVO 41 Figure 3-10 Flowchart of Hybrid Multiverse–Sincos Algorithm (hMVO) algorithm 43 73 74 Model 75 Constant.py 76 Main_run.py 77 78 79 Show result Run_mvo.py 80 Run_mvo_sca.py Utils.py 81 82 83 Case output: 84 85 Case output: 86 87 PROFILE Full name: LÊ VĂN TRỌNG Date of birth: 26th January,1992 Place of birth: Hồ Chí Minh city Address: 687 Lac Long Quan, Ward 10, Tan Binh District, Ho Chi Minh City Email: vietphat96.trong@gmail.com – 2192017@hcmut.edu.vn Phone number: (+84) 906663896 TRAINING PROCESS:  From 2010 to 2014: RMIT UNIVERSITY Bachelor of Commerce (Accounting) Major: Accounting & Audit GPA: 2.14  From 2014 to 2016: RMIT UNIVERSITY Master of Business Administration Major: Business Administration GPA: 2.92  From 2021 to present: HCMC University of Technology International Master Program Major: Construction Management GBA: 8.37 WORKING PROCESS:  From 01/2017 to 2022: Nam Việt Phát JSC Position: project supervisors  From 2022 to Present: Nam Việt Phát JSC Position: deputy Director