Power generating stations are under continuous pressure to achieve maximum availability, highest efficiency, and minimum environmental emissions at the lowest possible cost. In recent years, increased fuel flexibility has become more critical financially and operationally than ever before. Colorado Springs Utilities (CSU) has been very progressive in adopting and implementing benchmark technologies and operating strategies to help achieve these goals across their diversified generation portfolio, and in particular at four operating coal units representing 462 megawatts in the system. One key strategy employed at CSU’s Martin Drake Station has been to continuously evaluate and test alternative coal feedstocks which have potential to reduce cost while maintaining capacity, fuel supply security, availability, and efficiency. These tests would not have been possible without the use of Fuel Tech’s Targeted In-Furnace Injection™ (TIFI®) technology to control slagging and fouling, reduce forced outages and load drops, and enhance unit efficiency. The TIFI process involves the use of two different forms of fluid dynamics modeling coupled with a virtual reality engine. Together, these simulation methods create a running duplicate of a given furnace with injection overlays and dosage maps to predict the precise trajectory of an injected chemical, helping to ensure as close to 100% coverage of the targeted zones as possible. With TIFI installed on Units 6 and 7 at Martin Drake Station, the operators were able to blend Powder River Basin coal with design fuel up to double the percentages previously achievable. Using TIFI, the plant was able to maintain full load generation, better control slagging deposits, show improvements in heat absorption, and reduce attemperator spray flows over previous blend trials. Including the cost of the TIFI program, the station has demonstrated a potential annual operating cost reduction approaching $4.9 million. Effective return on TIFI program investment is 4:1.
Purpose: Prehospital transport commonly is performed in helicopters lacking partition between the pilot and medical crew cabin spaces. For safety reasons, nighttime cabin lighting in these aircraft must be red. This study was conducted to determine if red lighting impairs the ability of the air medical crew to perform the following tasks: 1) reading red-colored medication labels; 2) interpreting colorimetric; 3) end-tidal CO 2 detectors; and 4) identifying cyanosis. Methods: In dark conditions, an EMS instructor pilot adjusted red lighting in a B-105 helicopter to maximum acceptable intensity. A total of 13 emergency medicine residents were shown positive and negative CO2 detectors, and skin-colored and cyan-tinted rubber masks. The percentages of correcdy identified masks and detectors were noted. Subjects also read the drug name and quantity from 12 medication labels. Wilcoxon analysis compared label-reading accuracy between two groups: control (black and white lettering or background) and red (red lettering or background). Results: The accuracy of mask and CO 2 detector identification in a normal-lighted setting was 100%: the percentages of accurately identified masks and detectors in the red-light setting are listed in the Hypothesis: Calls utilizing standing orders have shorter total prehospital times than do those using call-in orders.Methods: One-hundred-thirty-three ambulance call reports were reviewed over a two-month period for patients with chest pain (CP) and shortness of breath (SOB). During the first month, both types of calls required call-in orders. During the second month, the CP protocols allowed the use of standing orders for the administration of ALS skills, while SOB calls still required a call-in order. Results were compared for total prehospital and on-scene times using Student's Mest.Results: A total of 133 reports yielded 38 standing orders and 95 call-in orders. The difference in scene time between when standing orders and call-in orders were used was significant (14.2 min vs. 18.0 min, p <.OO5). The total prehospital time also was significandy shorter for patients treated using standing orders versus call-in orders (20.2 min vs. 25.7 min, p<.005). The differences in time for calls requiring ALS interventions on which medicines and FVs were started showed no significant difference in scene or total prehospital times when comparing standing orders versus call-in orders. There was no significant difference in times for calls requiring only that medicines be given or IVs started. There was no difference between times for CP or SOB calls in either month. Conclusion:The lack of difference in time between callin orders and standing orders during ALS calls suggests that die majority of prehospital time is spent performing ALS skills and not calling for orders. These data suggest that standing orders do not save time. July-September 1994 Prehospital and Disaster Medicinehttps://www.cambridge.org/core/terms. https://doi
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.