Blockchain Platform for Real-Time Payments: A Less Costly and More Secure Alternative to ACH

2019 ◽  
Vol 21 (1) ◽  
pp. 3-9
Author(s):  
Nasser Arshadi

This paper examines the historical development of banking and automated clearing house legacy systems and offers blockchain platform for real-time payments as an alternative. Institutions with legacy systems resist disruptive change unless there are demands by businesses and customers and an opportunity for new products at reduced costs and additional revenues. Although the Automated Clearing House (ACH) in the U. S. has phased in a twice-a-day clearing and settlement system, it is still behind real-time models in use in several other countries. ACH uses individual clearance and settlements for large payments and batches for smaller transactions. Using ACH data, this paper calculates the annual opportunity cost of using a real-time model such as blockchain versus ACH's discrete, twice-a-day clearance and settlement procedure. For 2016, the real-time protocol would have resulted in benefits for businesses and customers of $10 billion.

1997 ◽  
Vol 31 (3) ◽  
pp. 45-51
Author(s):  
Jianmin Hou ◽  
Xuandong Li ◽  
Xiaocong Fan ◽  
Guoliang Zheng
Keyword(s):  

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1723
Author(s):  
Félix Dubuisson ◽  
Miloud Rezkallah ◽  
Hussein Ibrahim ◽  
Ambrish Chandra

In this paper, the predictive-based control with bacterial foraging optimization technique for power management in a standalone microgrid is studied and implemented. The heuristic optimization method based on the social foraging behavior of Escherichia coli bacteria is employed to determine the power references from the non-renewable energy sources and loads of the proposed configuration, which consists of a fixed speed diesel generator and battery storage system (BES). The two-stage configuration is controlled to maintain the DC-link voltage constant, regulate the AC voltage and frequency, and improve the power quality, simultaneously. For these tasks, on the AC side, the obtained power references are used as input signals to the predictive-based control. With the help of the system parameters, the predictive-based control computes all possible states of the system on the next sampling time and compares them with the estimated power references obtained using the bacterial foraging optimization (BFO) technique to get the inverter current reference. For the DC side, the same concept based on the predictive approach is employed to control the DC-DC buck-boost converter by regulating the DC-link voltage using the forward Euler method to generate the discrete-time model to predict in real-time the BES current. The proposed control strategies are evaluated using simulation results obtained with Matlab/Simulink in presence of different types of loads, as well as experimental results obtained with a small-scale microgrid.


2004 ◽  
Author(s):  
Thomas Winsel ◽  
Mohamed Ayeb ◽  
Heinz J. Theuerkauf ◽  
Stefan Pischinger ◽  
Christof Schernus ◽  
...  
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document