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Primary Graduate Student: Samer Al-Sharif (PhD’17)
Project Advisor: Aslihan Karatas, PhD, LEED AP
The main goal of this study is to develop a schedule and cost forecasting model that is capable of improving the accuracy of schedule and cost estimation and forecasts for nuclear power plant projects. To accomplish this goal, the research objectives of this study are to: (1) develop a framework for identifying causal factors of delay for nuclear projects that can impact project schedule and cost estimation and forecasts; (2) develop a new schedule and cost forecasting model for nuclear power plant projects using Data Mining methodology that can be used to generate reliable schedule and cost forecasts for real-case nuclear projects; (3) refine, validate, and fully develop an innovative schedule and cost forecasting model can be used to analyze and predict reliable schedule and cost estimation for nuclear power plant projects. This developed schedule and cost forecasting model is capable of providing decision makers (e.g., nuclear power plant project managers) with a tool that can provide early warnings to support timely decision making process.
This study also evaluated, analyzed, and refined the performances of the developed framework and model using real case studies of nuclear projects implemented in a nuclear power plant in Michigan-USA. The results from this study illustrated that the developed framework and the model were capable of improving the reliability of the schedule and cost estimation for nuclear power plant projects. These innovative framework and model are expected to enhance the decision making process for nuclear power plant projects in terms of schedule and cost performances. Three papers were authored by Dr. Aslihan Karatas and Dr. Samer Al-Sharif.
Primary Graduate Student: Hevar Palani (MSCE’21)
Project Advisor: Aslihan Karatas, PhD, LEED AP
This research study aims to develop a model that measures the overall effectiveness of occupancy-focused energy use interventions in hotel buildings. The model is developed in four stages: (1) data collection of energy consumption from a sample of hotel buildings in the US; (2) model formulation stage that identifies the effective occupancy-interventions for the analyzed building(s); (3) model implementation stage that performs identified occupancy-interventions on the analyzed buildings; and (4) model evaluation stage that analyzes and refines the performance of the collected data from a sample of hotel buildings. This research study is expected to assist decision-makers (e.g., facility managers) in delivering the occupancy interventions effectively to reduce building energy usage tailored to occupants’ energy behavior, and accordingly improve the overall buildings’ energy performances. The developed model will also be used as a road map for providing great energy reduction opportunities in buildings.
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