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Capacity Optimization of Hydrogen Buffer Tanks in Renewable Power to Ammonia (P2A) System

IEEE Power & Energy Society General Meeting, 2020
Power to hydrogen is a promising method to consume surplus renewable energy existing in the world. However, due to bottlenecks in hydrogen storage and transportation, converting hydrogen into ammonia which is a kind of hydrogen carrier with satisfied ...
Jiarong Li, Jin Lin, Yonghua Song
semanticscholar   +1 more source

Capacity requirements planning—optimal work station capacities

International Journal of Production Research, 1981
Abstract The How of work through a work station is analysed in terms of planned input from previous stations, planned output to subsequent stations, planned work-in-process waiting for processing and the planned queue of unprocessed work delayed for processing during sonic subsequent period. The planner is assumed to have some leeway in determining the
openaire   +1 more source

Optimal ?-? trees with capacity constraint

Acta Informatica, 1978
We consider a specific kind of binary trees with weighted edges. Each right edge has weight ? while each left edge has weight β. Furthermore, no path in the tree is allowed to contain L or more consecutive ?-edges, where L ? 1 is fixed. Given, ?, β, L and the number of nodes n, an optimal tree is one which minimizes the total weighted path length ...
D. M. Choy, C. K. Wong
openaire   +1 more source

Microgrid System Energy Storage Capacity Optimization Considering Multiple Time Scale Uncertainty Coupling

IEEE Transactions on Smart Grid, 2019
In this paper, we propose an energy storage capacity optimization (ESCO) method for grid-connected microgrid systems (MSs) considering multiple time scale uncertainty coupling.
Peng Xie   +5 more
semanticscholar   +1 more source

Disentangling Capacity Control from Price Optimization

SSRN Electronic Journal, 2015
Standard revenue management (RM) methods typically work with an integrated forecast of demand and customer choice at booking class level and then maximize revenue by optimally controlling class availability. We show that the structure of the RM problem can be decomposed into two sub-problems: capacity control and price optimization for incoming ...
Jonas Rauch, Karl Isler, Stefan Poelt
openaire   +1 more source

Optical transport network capacity optimization

2017 International Conference on Information and Telecommunication Technologies and Radio Electronics (UkrMiCo), 2017
The most efficient transmission system of the transport network is OTN offered by ITU-T G.709. However, in this recommendation, there is no indication as to what degree of MQAM determining the number of points of signal constellation provides the maximum capacity of multichannel system. This work removes this gap.
V. A. Breskin, D. M. Rozenvasser
openaire   +1 more source

Optimal capacity expansion in the presence of capacity options

Decision Support Systems, 2005
This paper studies optimal long-term electric power capacity strategies with capacity options. Gencos (Generation Companies) can sign contracts with Discos (Distribution Companies), where such contracts take the form of capacity options that may or may not be executed by Discos at some prespecified maturation date.
D.J. Wu, Paul R. Kleindorfer, Yanjun Sun
openaire   +1 more source

A multi-commodity network flow model for railway capacity optimization in case of line blockage

International Journal of Rail transportation, 2019
In this study, a multi-commodity network flow model is proposed to optimize the railroad capacity under temporary line blockage. The proposed model enables the assessment of residual railroad capacity under heterogeneous traffic condition.
Abbas Azadi Moghaddam Arani   +2 more
semanticscholar   +1 more source

Capacity Optimization Planning System (CAPS)

Interfaces, 1999
IBM's capacity optimization planning system (CAPS) is a decision-support system based on linear programming for strategic planning of semiconductor manufacturing capacity. CAPS finds the volume mix of products to maximize profit, constrained by the existing tool capacity, or identifies the tool capacity required to manufacture a specified mix of ...
Stuart Bermon, Sarah Jean Hood
openaire   +1 more source

A CNN Model for Semantic Person Part Segmentation With Capacity Optimization

IEEE Transactions on Image Processing, 2019
In this paper, a deep learning model with an optimal capacity is proposed to improve the performance of person part segmentation. Previous efforts in optimizing the capacity of a convolutional neural network (CNN) model suffer from a lack of large ...
Yalong Jiang, Z. Chi
semanticscholar   +1 more source

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