A suite of tools to support equipment sizing and specification

2020 ◽  
Vol 20 (2020) ◽  
pp. 430-431
Author(s):  
Carla Wilza Souza de Paula Maitelli ◽  
Alessandro José De Souza ◽  
Fábio Soares De Lima
Keyword(s):  
2020 ◽  
pp. 67-74
Author(s):  
Matthew Mendes ◽  
Taylor McCormick

Respiratory failure is the most common cause of cardiopulmonary arrest in children. Early recognition of the critically ill child and aggressive management of respiratory failure and shock are crucial to preventing cardiopulmonary arrest. Although caring for a sick child can be highly stressful for emergency physicians, pediatric resuscitation largely mirrors that of adults, with special consideration of a few key anatomic and physiologic differences. It is important to have a systematic approach to patient assessment, medication dosing, and equipment sizing in order to cognitively offload the emergency provider. The following will help maximize performance in these high-stakes situations: the Pediatric Assessment Triangle combined with the familiar airway, breathing, circulation, disability, exposure approach; an age-, weight-, or length-based medication/equipment system; and routine application of Pediatric Advanced Life Support algorithms.


2013 ◽  
Vol 135 (11) ◽  
Author(s):  
Rainer Kurz ◽  
J. Michael Thorp ◽  
Erik G. Zentmyer ◽  
Klaus Brun

Equipment sizing decisions in the oil and gas industry often have to be made based on incomplete data. Often, the exact process conditions are based on numerous assumptions about well performance, market conditions, environmental conditions, and others. Since the ultimate goal is to meet production commitments, the traditional method of addressing this is to use worst case conditions and often adding margins onto these. This will invariably lead to plants that are oversized, in some instances, by large margins. In reality, the operating conditions are very rarely the assumed worst case conditions, however, they are usually more benign most of the time. Plants designed based on worst case conditions, once in operation, will, therefore, usually not operate under optimum conditions, have reduced flexibility, and therefore cause both higher capital and operating expenses. The authors outline a new probabilistic methodology that provides a framework for more intelligent process-machine designs. A standardized framework using a Monte Carlo simulation and risk analysis is presented that more accurately defines process uncertainty and its impact on machine performance. Case studies are presented that highlight the methodology as applied to critical turbomachinery.


2009 ◽  
Vol 106 (1) ◽  
pp. 7-23
Author(s):  
Chad Olsen ◽  
Theodore A. Kozman ◽  
Jim Lee

Author(s):  
Yashen Lin ◽  
Venkatesh Chinde ◽  
Sen Huang

Abstract Stationary fuel cells provide potential opportunities for energy savings when integrated with buildings. Through smart dispatch of both electrical power and heat generated by the fuel cells and managing the building loads, the buildings can achieve more efficient operation. In this paper, we develop an optimal energy dispatch controller to operate a fuel cell-integrated building. The controller leverages the inherent thermal storage and the dispatchable fuel cell to reduce its operating cost and to allow the building to participate in grid services. The proposed controller is implemented on two types of commercial buildings, a large office building and a large hotel, and the effectiveness of the controller is demonstrated through simulations. The results also indicate that the potential saving varies significantly with different system parameters, including season, fuel prices, and equipment sizing, which provide helpful insights for building operators and other stake holders.


Author(s):  
Hongwei Hsiao

Objectives: This article presented four anthropometric theories (univariate, bivariate/probability distribution, multivariate, and shape-based methods) for protective equipment design decisions. Background: While the significance of anthropometric information for product design is well recognized, designers continue to face challenges in selecting efficient anthropometric data processing methods and translating the acquired information into effective product designs. Methods: For this study, 100 farm tractor operators, 3,718 respirator users, 951 firefighters, and 816 civilian workers participated in four studies on the design of tractor roll-over protective structures (ROPS), respirator test panels, fire truck cabs, and fall-arrest harnesses, respectively. Their anthropometry and participant-equipment interfaces were evaluated. Results: Study 1 showed a need to extend the 90-cm vertical clearance for tractor ROPS in the current industrial standards to 98.3 to 101.3 cm. Study 2 indicated that current respirator test panel would have excluded 10% of the male firefighter population; a systematic adjustment to the boundaries of test panel cells was suggested. Study 3 provided 24 principal component analysis-based firefighter body models to facilitate fire truck cab design. Study 4 developed an improved gender-based fall-arrest harness sizing scheme to supplant the current unisex system. Conclusions: This article presented four anthropometric approaches and a six-step design paradigm for ROPS, respirator test panel, fire truck cab, and fall-arrest harness applications, which demonstrated anthropometric theories and practices for defining protective equipment fit and sizing schemes. Applications: The study provided a basis for equipment designers, standards writers, and industry manufacturers to advance anthropometric applications for product design and improve product efficacy.


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