Load Profile and Fluid Composition Influence the Soak Behavior of UHMWPE Implants

2009 ◽  
pp. 97-97-5 ◽  
Author(s):  
T Schwenke ◽  
E Schneider ◽  
MA Wimmer
Keyword(s):  
Fluid Composition ◽  
Load Profile

Load Profile and Fluid Composition Influence the Soak Behavior of UHMWPE Implants

2006 ◽  
Vol 3 (8) ◽  
pp. 100255 ◽  
Author(s):  
T Schwenke ◽  
E Schneider ◽  
MA Wimmer ◽  
SW Dean
Keyword(s):  
Fluid Composition ◽  
Load Profile

Instrument for measuring and recording Electrical load profiles

2018 ◽  
pp. 111-115
Author(s):  
Yuri Kolev ◽  
Атanas Atanasov ◽  
Таnia Pehlivanova
Keyword(s):  
Power Consumption ◽  
Simultaneous Recording ◽  
Active Power ◽  
Power Lines ◽  
Electrical Load ◽  
Current Transformers ◽  
Measuring Device ◽  
Load Profile

A load profile measuring device takes information about the power consumption without modification of the power lines. Using current transformers, the current is measured in each of the phases and the active power consumed by the user is determined. The developed software for it allows for simultaneous recording at different user selectable timing intervals. The device is designed and tested in two facilities - a School and a Farm.

scholarly journals Regional Intestinal Drug Absorption: Biopharmaceutics and Drug Formulation

Pharmaceutics ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 272
Author(s):  
Arik Dahan ◽  
Isabel González-Álvarez
Keyword(s):  
Drug Absorption ◽  
Unmet Needs ◽  
Drug Formulation ◽  
Fluid Composition ◽  
Mucosal Cell ◽  
Special Issue ◽  
Junction Resistance ◽  
Intestinal Drug Absorption ◽  
Carrier Mediated Transport ◽  
Mechanistic Basis

The gastrointestinal tract (GIT) can be broadly divided into several regions: the stomach, the small intestine (which is subdivided to duodenum, jejunum, and ileum), and the colon. The conditions and environment in each of these segments, and even within the segment, are dependent on many factors, e.g., the surrounding pH, fluid composition, transporters expression, metabolic enzymes activity, tight junction resistance, different morphology along the GIT, variable intestinal mucosal cell differentiation, changes in drug concentration (in cases of carrier-mediated transport), thickness and types of mucus, and resident microflora. Each of these variables, alone or in combination with others, can fundamentally alter the solubility/dissolution, the intestinal permeability, and the overall absorption of various drugs. This is the underlying mechanistic basis of regional-dependent intestinal drug absorption, which has led to many attempts to deliver drugs to specific regions throughout the GIT, aiming to optimize drug absorption, bioavailability, pharmacokinetics, and/or pharmacodynamics. In this Editorial we provide an overview of the Special Issue "Regional Intestinal Drug Absorption: Biopharmaceutics and Drug Formulation". The objective of this Special Issue is to highlight the current progress and to provide an overview of the latest developments in the field of regional-dependent intestinal drug absorption and delivery, as well as pointing out the unmet needs of the field.

scholarly journals Coordination of Multiple Electric Vehicle Aggregators for Peak Shaving and Valley Filling in Distribution Feeders

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 352
Author(s):  
Saad Ullah Khan ◽  
Khawaja Khalid Mehmood ◽  
Zunaib Maqsood Haider ◽  
Muhammad Kashif Rafique ◽  
Muhammad Omer Khan ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Power Distribution ◽  
Distribution System ◽  
Energy Demand ◽  
Minimum Energy ◽  
Peak Shaving ◽  
Peak Period ◽  
Actual Distribution ◽  
Load Profile ◽  
System Load

In this paper, a coordination method of multiple electric vehicle (EV) aggregators has been devised to flatten the system load profile. The proposed scheme tends to reduce the peak demand by discharging EVs and fills the valley gap through EV charging in the off-peak period. Upper level fair proportional power distribution to the EV aggregators is exercised by the system operator which provides coordination among the aggregators based on their aggregated energy demand or capacity. The lower level min max objective function is implemented at each aggregator to distribute power to the EVs. Each aggregator ensures that the EV customers’ driving requirements are not relinquished in spite of their employment to support the grid. The scheme has been tested on IEEE 13-node distribution system and an actual distribution system situated in Seoul, Republic of Korea whilst utilizing actual EV mobility data. The results show that the system load profile is smoothed by the coordination of aggregators under peak shaving and valley filling goals. Also, the EVs are fully charged before departure while maintaining a minimum energy for emergency travel.

scholarly journals Smart Meter Data Analysis of a Building Cluster for Heating Load Profile Quantification and Peak Load Shifting

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4343
Author(s):  
Yunbo Yang ◽  
Rongling Li ◽  
Tao Huang
Keyword(s):  
Data Analysis ◽  
Peak Load ◽  
Smart Meter ◽  
Load Shifting ◽  
Load Profile ◽  
Transition Season ◽  
Morning Peak ◽  
Heating Load ◽  
Heating Loads

In recent years, many buildings have been fitted with smart meters, from which high-frequency energy data is available. However, extracting useful information efficiently has been imposed as a problem in utilizing these data. In this study, we analyzed district heating smart meter data from 61 buildings in Copenhagen, Denmark, focused on the peak load quantification in a building cluster and a case study on load shifting. The energy consumption data were clustered into three subsets concerning seasonal variation (winter, transition season, and summer), using the agglomerative hierarchical algorithm. The representative load profile obtained from clustering analysis were categorized by their profile features on the peak. The investigation of peak load shifting potentials was then conducted by quantifying peak load concerning their load profile types, which were indicated by the absolute peak power, the peak duration, and the sharpness of the peak. A numerical model was developed for a representative building, to determine peak shaving potentials. The model was calibrated and validated using the time-series measurements of two heating seasons. The heating load profiles of the buildings were classified into five types. The buildings with the hat shape peak type were in the majority during the winter and had the highest load shifting potential in the winter and transition season. The hat shape type’s peak load accounted for 10.7% of the total heating loads in winter, and the morning peak type accounted for 12.6% of total heating loads in the transition season. The case study simulation showed that the morning peak load was reduced by about 70%, by modulating the supply water temperature setpoints based on weather compensation curves. The methods and procedures used in this study can be applied in other cases, for the data analysis of a large number of buildings and the investigation of peak loads.

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