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- Creators: Ayyanar, Raja
- Creators: Del E. Webb School of Construction
Description
Building information modeling (BIM) has already sparked changes in design and construction practices, ranging from new methods to coordinate work during design to supporting paperless construction sites where crews use handheld devices in lieu of paper plans. It is seen as the starting point for the larger picture, virtual design and construction (VDC). While some research has explored the feasibility of using BIM for Facilities Management (FM) this practice is yet to become widely accepted and integrated. This paper explores how VDC could improve the operations of a Facilities Management department at a large state university. Specifically, the authors examine the degree to which institutional requirements foster BIM use during building operations, the ability of models to interface with existing FM software, and the willingness of FM executives to incorporate BIM into their processes. The authors also discuss the sorts of information contained in building models that FM could find most useful, and highlight those pieces of information required for FM that many building models do not contain. Finally, the paper closes with a set of recommendations about how to create building models that more seamlessly integrate into existing Facilities Management processes at the university studied, in order to draw a set of recommendations that may apply more broadly to state universities and similar institutions.
ContributorsHebel, Natasha Faith (Author) / Parrish, Kristen (Thesis director) / Ayer, Steven (Committee member) / Del E. Webb School of Construction (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Reliable and secure operation of bulk power transmission system components is an important aspect of electric power engineering. Component failures in a transmission network can lead to serious consequences and impact system reliability. The operational health of the transmission assets plays a crucial role in determining the reliability of an electric grid. To achieve this goal, scheduled maintenance of bulk power system components is an important activity to secure the transmission system against unanticipated events. This thesis identifies critical transmission elements in a 500 kV transmission network utilizing a ranking strategy.
The impact of the failure of transmission assets operated by a major utility company in the Southwest United States on its power system network is studied. A methodology is used to quantify the impact and subsequently rank transmission assets in decreasing order of their criticality. The analysis is carried out on the power system network using a node breaker model and steady state analysis. The light load case of spring 2019, peak load case of summer 2023 and two intermediate load cases have been considered for the ranking. The contingency simulations and power flow studies have been carried out using a commercial power flow study software package, Positive Sequence Load Flow (PSLF). The results obtained from PSLF are analyzed using Matlab to obtain the desired ranking. The ranked list of transmission assets will enable asset managers to identify the assets that have the most significant impact on the overall power system network performance. Therefore, investment and maintenance decisions can be made effectively. A conclusion along with a recommendation for future work is also provided in the thesis.
The impact of the failure of transmission assets operated by a major utility company in the Southwest United States on its power system network is studied. A methodology is used to quantify the impact and subsequently rank transmission assets in decreasing order of their criticality. The analysis is carried out on the power system network using a node breaker model and steady state analysis. The light load case of spring 2019, peak load case of summer 2023 and two intermediate load cases have been considered for the ranking. The contingency simulations and power flow studies have been carried out using a commercial power flow study software package, Positive Sequence Load Flow (PSLF). The results obtained from PSLF are analyzed using Matlab to obtain the desired ranking. The ranked list of transmission assets will enable asset managers to identify the assets that have the most significant impact on the overall power system network performance. Therefore, investment and maintenance decisions can be made effectively. A conclusion along with a recommendation for future work is also provided in the thesis.
ContributorsBhandari, Harsh Nandlal (Author) / Vittal, Vijay (Thesis advisor) / Heydt, Gerald T (Thesis advisor) / Ayyanar, Raja (Committee member) / Arizona State University (Publisher)
Created2019