درباره ما
ASHRAE ST-16-010
English -- Control and Optimization of Vapor Compression Systems Using Recursive Estimation
| contributor author | ASHRAE - American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc. | |
| date accessioned | 2017-10-18T10:59:44Z | |
| date available | 2017-10-18T10:59:44Z | |
| date copyright | 2016.01.01 | |
| date issued | 2016 | |
| identifier other | LIBQSFAAAAAAAAAA.pdf | |
| identifier uri | http://yse.yabesh.ir/std;query=autho162sear79D/handle/yse/233445 | |
| description abstract | Scope: Building operations account for approximately 40% of US energy use and carbon emissions, and vapor compression cycles are the primary method by which refrigeration and airconditioning systems operate. Representing a significant portion of commercial and residential building energy consumption, vapor compression cycles are a target for improvement in efficiency and savings. This paper presents a data-driven approach to find the optimal operating conditions of single- and multievaporator systems to minimize energy consumption while meeting operational requirements such as constant cooling or constant evaporator outlet temperatures. Theproblemliesinthedevelopmentofacontrolarchitecturethat will minimize the energyconsumedwithout requiringanymodels of the system or expensive mass flow sensors. The application of the presented approach improves efficiency and is demonstrated in simulation and on an experimental system. | |
| language | English | |
| title | ASHRAE ST-16-010 | num |
| title | English -- Control and Optimization of Vapor Compression Systems Using Recursive Estimation | en |
| type | standard | |
| page | 13 | |
| status | Active | |
| tree | ASHRAE - American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc.:;2016 | |
| contenttype | fulltext |
