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Babaei, M, Rashidi-baqhi, A and Rashidi, M (2022) Estimating Project Cost under Uncertainty Using Universal Generating Function Method. Journal of Construction Engineering and Management, 148(02).
Bai, S, Li, M, Lu, Q, Tian, H and Qin, L (2022) Global Time Optimization Method for Dredging Construction Cycles of Trailing Suction Hopper Dredger Based on Grey System Model. Journal of Construction Engineering and Management, 148(02).
Che Ibrahim, C K I, Belayutham, S, Mohammad, M Z and Ismail, S (2022) Development of a Conceptual Designer’s Knowledge, Skills, and Experience Index for Prevention through Design Practice in Construction. Journal of Construction Engineering and Management, 148(02).
Ghafoori, M and Abdallah, M (2022) Simulation-Based Optimization Model to Minimize Equivalent Annual Cost of Existing Buildings. Journal of Construction Engineering and Management, 148(02).
- Type: Journal Article
- Keywords: Building equivalent annual cost (EAC) analysis; Building retrofit; Building upgrade; Building energy simulation; Binary linear programming; OpenStudio;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002232
- Abstract:
Building’s energy and water consumption and associated utility costs can be significantly reduced if proper energy and water-efficiency upgrades are applied. Due to the limitations of the upgrade budgets and the availability of a wide range of energy and water-efficiency measures, decision makers are always faced with a challenging task to identify optimal sets of building upgrade measures. This paper presents the development of a new model that is capable of identifying an optimum selection of building upgrade measures to minimize equivalent annual cost (EAC) while maintaining the performance of existing buildings and complying with available upgrade budgets. The model is developed in three main phases: (1) formulation phase, where decision variables, objective function, and constraints are identified and formulated; (2) implementation phase that performs the model computations and specifies the model input and output data; and (3) performance evaluation phase where two case studies of university buildings are analyzed to demonstrate the capabilities of the model. Furthermore, a case study from the literature is used to verify the model performance and document its new capabilities. The primary contributions that this research adds to the body of knowledge are: (1) developing new model that can identify optimal selection of building upgrades while complying with user-specified requirements for building operational performance and available upgrade budgets in short computation time, (2) modeling a wide range of upgrade measures for building fixtures and equipment as well as envelope components, and (3) integrating updatable databases from vendors and suppliers to generate up-to-date and practical recommendations. The model is designed to use OpenStudio to analyze combinations of feasible alternatives such as HVAC systems, wall and roof insulations, window types, and water heaters to calculate the corresponding building energy consumption. The model is designed to perform its computations using binary linear programming to identify global optimum solutions in short computational time. The results of the case studies illustrated the capabilities of the model in optimizing building upgrade measures to reduce the building utility costs up to 38% while complying with specified upgrade budgets.
Jia, F, Xiang, P and Chen, D (2022) Prioritizing the Operation and Maintenance Complexity of Mega Transportation Projects Based on Systems Thinking. Journal of Construction Engineering and Management, 148(02).
Lerche, J, Enevoldsen, P and Seppänen, O (2022) Application of Takt and Kanban to Modular Wind Turbine Construction. Journal of Construction Engineering and Management, 148(02).
Li, P, Wang, Q, Guo, Z, Mei, T, Li, Q, Qiao, S and Zuo, W (2022) Identifying Falling-from-Height Hazards in Building Information Models: A Voxelization-Based Method. Journal of Construction Engineering and Management, 148(02).
Li, X, Lu, W, Xue, F, Wu, L, Zhao, R, Lou, J and Xu, J (2022) Blockchain-Enabled IoT-BIM Platform for Supply Chain Management in Modular Construction. Journal of Construction Engineering and Management, 148(02).
Liu, K, Su, Y, Pollack, J, Liang, H and Zhang, S (2022) Explaining the Formation Mechanism of Intrateam Knowledge Exchange Network in Offsite Construction Projects: A Social Cognitive Perspective. Journal of Construction Engineering and Management, 148(02).
Park, J and Cho, Y K (2022) Point Cloud Information Modeling: Deep Learning–Based Automated Information Modeling Framework for Point Cloud Data. Journal of Construction Engineering and Management, 148(02).
Radzi, A R, Rahman, R A, Doh, S I and Esa, M (2022) Construction Readiness for Highway Projects: Key Decision Criteria. Journal of Construction Engineering and Management, 148(02).
Sanboskani, H and Srour, I (2022) Using Advanced Statistical Methods to Identify the Drivers of Knowledge Sharing Intention among Construction Workers. Journal of Construction Engineering and Management, 148(02).
Shehadeh, A, Alshboul, O and Hamedat, O (2022) Risk Assessment Model for Optimal Gain–Pain Share Ratio in Target Cost Contract for Construction Projects. Journal of Construction Engineering and Management, 148(02).
Yoon, J H and Pishdad-Bozorgi, P (2022) State-of-the-Art Review of Blockchain-Enabled Construction Supply Chain. Journal of Construction Engineering and Management, 148(02).
Zhang, C, Chen, K, Yang, J, Fu, J, Wang, S and Xie, Y (2022) Reuse of Discharged Soil from Slurry Shield Tunnel Construction as Synchronous Grouting Material. Journal of Construction Engineering and Management, 148(02).
Zhang, Y, Yuan, J, Zhao, J, Cheng, L and Li, Q (2022) Hybrid Dynamic Pricing Model for Transport PPP Projects during the Residual Concession Period. Journal of Construction Engineering and Management, 148(02).