Micro-combined cooling, heating and power systems hybrid electric-thermal load following operation

2010 ◽  
Vol 30 (8-9) ◽  
pp. 800-806 ◽  
Author(s):  
P.J. Mago ◽  
L.M. Chamra ◽  
J. Ramsay
2014 ◽  
Vol 84 ◽  
pp. 586-594 ◽  
Author(s):  
Gang Han ◽  
Shijun You ◽  
Tianzhen Ye ◽  
Peng Sun ◽  
Huan Zhang

Author(s):  
N Fumo ◽  
P J Mago ◽  
A D Smith

Technologies such as cogeneration and trigeneration have great potential for energy and emission reduction because these technologies make better use of fuels by recovering waste heat to satisfy thermal loads. Operation of a system that involves several types of equipment operating as one unit, that at the same time interact with the building to meet its energy demand, requires an operational strategy that makes the system operate properly. This means the system must be able to respond to the building energy demand while having the best performance within the constraints imposed by the operational strategy. When a cogeneration system (combined heating and power) or trigeneration system (combined cooling, heating, and power) operates at partial load, the operational strategy has particular effect on the performance of the system. Two common operational strategies to operate these systems are following the electric load and following the thermal load. This article presents a methodology that allows selecting the right operational strategy based on the ratio between the building electric and thermal loads, and the ratio between electricity demand and size of the power generation unit when exporting electricity is not an option. Results show that the following the thermal load strategy seems to be better than the following the electric load strategy for most cases. Therefore, the methodology presented in this article is a decision-making tool for the selection of the right operational strategy.


2013 ◽  
Vol 373-375 ◽  
pp. 2161-2164
Author(s):  
Chuan Sheng Si ◽  
Zhuang Zhuang Shang

Combined with the actual situation of sanitation vehicle at home and abroad, the text analyzes development trend of hybrid electric sanitation vehicle, selected assembly-driven structure of parallel electric sanitation vehicle power systems,designed two different programs of power systems, and this program plays an important role in improving the dynamic and economy of sanitation vehicle.


2013 ◽  
Vol 48 ◽  
pp. 40-47 ◽  
Author(s):  
Zhe Zhou ◽  
Pei Liu ◽  
Zheng Li ◽  
Efstratios N. Pistikopoulos ◽  
Michael C. Georgiadis

Author(s):  
Mark W. Davis ◽  
Michael W. Ellis ◽  
Brian P. Dougherty ◽  
A. Hunter Fanney

The National Institute of Standards and Technology (NIST), in conjunction with Virginia Tech, has developed a rating methodology for residential-scale stationary fuel cell systems. The methodology predicts the cumulative electrical production, thermal energy delivery, and fuel consumption on an annual basis. The annual performance is estimated by representing the entire year of climate and load data into representative winter, spring/fall, and summer days for six different U.S. climatic zones. It prescribes a minimal number of steady state and simulated use tests, which provide the necessary performance data for the calculation procedure that predicts the annual performance. The procedure accounts for the changes in performance resulting from changes in ambient temperature, electrical load, and, if the unit provides thermal as well as electrical power, thermal load. The rating methodology addresses four different types of fuel cell systems: grid-independent electrical load following, grid-connected constant power, grid-connected thermal load following, and grid-connected water heating. This paper will describe a partial validation of the rating methodology for a grid-connected thermal load following fuel cell system. The rating methodology was validated using measured data from tests that subjected the fuel cell system to domestic hot water and space heating thermal loads for each of the three representative days. The simplification of a full year’s load and climate data into three representative days was then validated by comparing the rating methodology predictions with the prediction of each hour over the full year in each of the six cities.


Energies ◽  
2018 ◽  
Vol 11 (6) ◽  
pp. 1519 ◽  
Author(s):  
Jinming Jiang ◽  
Xindong Wei ◽  
Weijun Gao ◽  
Soichiro Kuroki ◽  
Zhonghui Liu

1994 ◽  
Author(s):  
F. Ö. Onbaşioğlu ◽  
A. G. Parlos ◽  
K. L. Peddicord ◽  
John D. Metzger ◽  
Mohamed S. El-Genk ◽  
...  

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