The Design and Performance Optimization of Thermal System Components

1989 ◽  
Vol 111 (4) ◽  
pp. 231-238 ◽  
Author(s):  
M. R. von Spakovsky ◽  
R. B. Evans

A general analytical approach which directly determines the optimum thermodynamic and economic behavior of thermal systems and which is described in detail in von Spakovsky and Evans (1987) and von Spakovsky (1986) is briefly discussed here in the context of establishing a “stable economic environment” around each cycle component. Such environments allow for isolated, individual component optimizations which need not to be performed at the time the system is optimized, but which nonetheless correspond to some overall system optimum. In these environments, very “detailed” thermoeconomic component models can be optimized without the added complications resulting from a consideration of all the other system variables. The development and optimization of these “detailed” models is illustrated using the example of a feedwater heater. Utilizing the Second Law and typical Second Law costing techniques, the method presented here provides for the creation of mathematical models which balance operating costs and capital expenditures. Such models can be solved numerically for the optimum design point or the optimum operating point of a thermal system and each of its components.

1990 ◽  
Vol 112 (1) ◽  
pp. 86-93 ◽  
Author(s):  
M. R. von Spakovsky ◽  
R. B. Evans

Optimization techniques are, in general, still not used today in the design and performance analysis of thermal systems and their components. The engineer’s search for the best system configuration is based solely on rules-of-thumb and not on a systematic, analytical determination of what the optimal design or performance should be. In addition, economic factors are not directly tied to thermodynamic ones; therefore, the economic ramifications of thermodynamic changes to the system are not usually, if ever, immediately apparent. A general analytical approach that directly determines the optimum thermodynamic and econmic behavior of thermal systems is discussed and illustrated using Rankine cycles. Utilizing the Second Law and typical Second Law costing techniques, this method provides for the creation of mathematical models that balance a cycle’s operating costs and capital expenditures. Such models can be solved numerically, subject to various constraints, for the optimum design and performance of thermal systems.


Author(s):  
Kui Xu ◽  
Ming Zhang ◽  
Jie Liu ◽  
Nan Sha ◽  
Wei Xie ◽  
...  

Abstract In this paper, we design the simultaneous wireless information and power transfer (SWIPT) protocol for massive multi-input multi-output (mMIMO) system with non-linear energy-harvesting (EH) terminals. In this system, the base station (BS) serves a set of uplink fixed half-duplex (HD) terminals with non-linear energy harvester. Considering the non-linearity of practical energy-harvesting circuits, we adopt the realistic non-linear EH model rather than the idealistic linear EH model. The proposed SWIPT protocol can be divided into two phases. The first phase is designed for terminals EH and downlink training. A beam domain energy beamforming method is employed for the wireless power transmission. In the second phase, the BS forms the two-layer receive beamformers for the reception of signals transmitted by terminals. In order to improve the spectral efficiency (SE) of the system, the BS transmit power- and time-switching ratios are optimized. Simulation results show the superiority of the proposed beam-domain SWIPT protocol on SE performance compared with the conventional mMIMO SWIPT protocols.


2021 ◽  
Vol 13 (12) ◽  
pp. 2342
Author(s):  
Jin-Bong Sung ◽  
Sung-Yong Hong

A new method to design in-orbit synthetic aperture radar operational parameters has been implemented for the Korean Multi-purpose Satellite 6 mission. The implemented method optimizes the pulse repetition frequency when a satellite altitude changes from its nominal one, so it has the advantage that the synthetic aperture radar performances can satisfy the requirements for the in-orbit operation. Other commanding parameters have been designed to conduct trade-off between those parameters. This paper presents the new optimization method to maintain the synthetic aperture radar performances even in the case of an altitude variation. Design methodologies to determine operational parameters, respectively, at nominal altitude and in orbit are presented. In addition, numerical simulation is presented to validate the proposed optimization and the design methodologies.


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