Optimal Energy Efficiency and Throughput on Partially Reversible Pipelined QCA Circuits

2020 ◽  
Vol 37 (3) ◽  
pp. 40-50
Author(s):  
Marco A. Ribeiro ◽  
Iago A. Carvalho ◽  
Omar P. Vilela Neto ◽  
Jeferson F. Chaves
Author(s):  
A. Papazafeiropoulos ◽  
H. Q. Ngo ◽  
P. Kourtessis ◽  
S. Chatzinotas ◽  
J. M. Senior

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Zhe Wang ◽  
Taoshen Li ◽  
Lina Ge ◽  
Yongquan Zhou ◽  
Guifen Zhang ◽  
...  

Author(s):  
Heejin Cho ◽  
Sandra D. Eksioglu ◽  
Rogelio Luck ◽  
Louay M. Chamra

The Combined Cooling, Heating, and Power (CCHP) systems have been widely recognized as a key alternative for thermal and electric energy generation because of the outstanding energy efficiency, reduced environmental emissions, and relative independence from centralized power grids. Nevertheless, the total energy cost of CCHP systems can be highly dependent on the operation of individual components and load balancing. The latter refers to the process of fulfilling the thermal and electrical demand by partitioning or “balancing” the energy requirement between the available sources of energy supply. The energy cost can be optimized through an energy dispatch algorithm which provides operational/control signals for the optimal operation of the equipment. The algorithm provides optimal solutions on decisions regarding generating power locally or buying power from the grid. This paper presents an initial study on developing an optimal energy dispatch algorithm that minimizes the cost of energy (i.e., cost of electricity from the grid and cost of natural gas into the engine and boiler) based on energy efficiency constrains for each component. A deterministic network flow model of a typical CCHP system is developed as part of the algorithm. The advantage of using a network flow model is that the power flows and efficiency constraints throughout the CCHP components can be readily visualized to facilitate the interpretation of the results. A linear programming formulation of the network flow model is presented. In the algorithm, the inputs include the cost of the electricity and fuel and the constraints include the cooling, heating, and electric load demands and the efficiencies of the CCHP components. This algorithm has been used in simulations of several case studies on the operation of an existing micro-CHP system. Several scenarios with different operational conditions are presented in the paper to demonstrate the economical advantages resulting from optimal operation.


2019 ◽  
Vol 14 (3) ◽  
pp. 179-204 ◽  
Author(s):  
Jodi Smits Anderson

We have spent the last 40–50 years working for energy efficiency in our buildings, and we have done so by increasing the performance of the heating, cooling, lighting, and ventilation systems we use. Only recently have we realized the importance of the building envelope in this endeavor. The spaces within a building are created to support the purpose and programs of that building, and it is the envelope made up of the walls, windows, doors, roof, skylights, and floor that protect and shelter those programs and purpose. In this article we will explore various components of the building envelope and discuss ways to achieve optimal energy use.


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