Non-convexity in the Design Space of Wind-Battery Systems

2018 ◽  
pp. 127-140
Author(s):  
Anindita Roy ◽  
Santanu Bandyopadhyay
Keyword(s):  
Design Space ◽  
Battery Systems

Optimum sizing of photovoltaic battery systems incorporating uncertainty through design space approach

Solar Energy ◽  
2009 ◽  
Vol 83 (7) ◽  
pp. 1013-1025 ◽  
Author(s):  
P. Arun ◽  
Rangan Banerjee ◽  
Santanu Bandyopadhyay
Keyword(s):  
Design Space ◽  
Battery Systems ◽  
Space Approach

On the Existence of Non-Convexities in the Design Space of Isolated Wind-Battery Systems

2011 ◽  
Vol 35 (2) ◽  
pp. 223-245 ◽  
Author(s):  
Anindita Roy ◽  
Shireesh B Kedare ◽  
Santanu Bandyopadhyay
Keyword(s):  
Design Space ◽  
Battery Systems

Application of design space methodology for optimum sizing of wind–battery systems

2009 ◽  
Vol 86 (12) ◽  
pp. 2690-2703 ◽  
Author(s):  
Anindita Roy ◽  
Shireesh B. Kedare ◽  
Santanu Bandyopadhyay
Keyword(s):  
Design Space ◽  
Battery Systems

PVT-Biomass-Battery systems optimized with evolutionary algorithms for small and highly shaded environments

2016 ◽  
pp. 568-573
Author(s):  
J.A. Fernández Fernández ◽  
P. González-Rodelas ◽  
E. Alameda-Hernández
Keyword(s):  
Evolutionary Algorithms ◽  
Battery Systems

The Environmental Design Space: Modeling and Performance Updates

2021 ◽  
Author(s):  
Luis Salas Nunez ◽  
Jimmy C. Tai ◽  
Dimitri N. Mavris
Keyword(s):  
Design Space ◽  
Environmental Design ◽  
Space Modeling ◽  
And Performance

The impact of design space constraints on the noise and emissions from derivative engines for civil supersonic aircraft

2021 ◽  
Author(s):  
Laurens Voet ◽  
Prakash Prashanth ◽  
Raymond Speth ◽  
Jayant Sabnis ◽  
Choon Tan ◽  
...  
Keyword(s):  
Design Space ◽  
Supersonic Aircraft ◽  
The Impact

Proposal of an instrument to evaluate interaction spaces in a VLE

2019 ◽  
pp. 1-13
Author(s):  
Rubí Estela Morales-Salas ◽  
Daniel Montes-Ponce
Keyword(s):  
Learning Environment ◽  
Design Space ◽  
Collaborative Work ◽  
Virtual Learning ◽  
Interaction Space ◽  
Learning Objects ◽  
Traditional Education ◽  
Virtual Learning Environment ◽  
Discussion Forums ◽  
Exhibition Space

A virtual learning environment is conceived as an interaction space that ease the realization of mediated activities by technology, in this case the internet; besides using multimedia materials, learning objects, social networks, among others; which have changed imminently the traditional education. In this article an instrument is proposed in a checklist format, to evaluate any platform that has interaction spaces such as a Virtual Learning Environment, in this case responding to four spaces or general indicators: information Space, Mediation / Interaction Space, Instructional Design Space and Exhibition Space. Criteria are used according to the interactions and activities carried out by the consultant and virtual student. These, in turn, come up from the analysis and interaction of the advisers achieved in the discussion forums and portfolio activities through collaborative work. It was situated as a qualitative research, with a descriptive nature since it is not limited to data collection only, but also it refers and analyzes the interaction of the advisers achieved in the discussion forums and portfolio activities through the collaborative work of the workshop course "Virtual Learning Environments" developed in a virtual learning environment.

Optimization Study to Develop Once-a-day Controlled Release Formulation of Metoclopramide with Predictable Design Space

1970 ◽  
Vol 1 (1) ◽  
pp. 71-76
Author(s):  
Rajesh Dubey ◽  
Udaya K. Chowdary ◽  
Venkateswarlu V.
Keyword(s):  
Controlled Release ◽  
Drug Release ◽  
Design Space ◽  
Release Kinetics ◽  
Release Profile ◽  
Release Formulation ◽  
Linear Effect ◽  
Controlled Release Formulation ◽  
The Difference ◽  
Face Centered

A controlled release formulation of metoclopramide was developed using a combination of hypromellose (HPMC) and hydrogenated castor oil (HCO). Developed formulations released the drug over 20 hr with release kinetics following Higuchi model. Compared to HCO, HPMC showed significantly higher influence in controlling the drug release at initial as well as later phase. The difference in the influence can be explained by the different swelling and erosion behaviour of the polymers. Effect of the polymers on release was optimized using a face-centered central composite design to generate a predictable design space. Statistical analysis of the drug release at various levels indicated a linear effect of the polymers’ levels on the drug release. The release profile of formulations containing the polymer levels at extremes of their ranges in design space was found to be similar to the predicted release profile

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