Dynamic Optimization of Combined Cooling, Heating, and Power Systems with Energy Storage Units
In this paper, a combined cooling, heating, and power (CCHP) system with thermal storage tanks is introduced. Considering the plants’ off-design performance, an efficient methodology is introduced to determine the most economical operation schedule. The complex CCHP system’s stat...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-08-01
|
Series: | Energies |
Subjects: | |
Online Access: | http://www.mdpi.com/1996-1073/11/9/2288 |
id |
doaj-7d536d977a6344fa9037469f64ac353b |
---|---|
record_format |
Article |
spelling |
doaj-7d536d977a6344fa9037469f64ac353b2020-11-24T21:48:03ZengMDPI AGEnergies1996-10732018-08-01119228810.3390/en11092288en11092288Dynamic Optimization of Combined Cooling, Heating, and Power Systems with Energy Storage UnitsJiyuan Kuang0Chenghui Zhang1Fan Li2Bo Sun3School of Control Science and Engineering, Shandong University, Jinan 250061, ChinaSchool of Control Science and Engineering, Shandong University, Jinan 250061, ChinaSchool of Control Science and Engineering, Shandong University, Jinan 250061, ChinaSchool of Control Science and Engineering, Shandong University, Jinan 250061, ChinaIn this paper, a combined cooling, heating, and power (CCHP) system with thermal storage tanks is introduced. Considering the plants’ off-design performance, an efficient methodology is introduced to determine the most economical operation schedule. The complex CCHP system’s state transition equation is extracted by selecting the stored cooling and heating energy as the discretized state variables. Referring to the concept of variable cost and constant cost, repeated computations are saved in phase operating cost calculations. Therefore, the most economical operation schedule is obtained by employing a dynamic solving framework in an extremely short time. The simulation results indicated that the optimized operating cost is reduced by 40.8% compared to the traditional energy supply system.http://www.mdpi.com/1996-1073/11/9/2288CCHP systemenergy storageoff-design performancedynamic solving framework |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jiyuan Kuang Chenghui Zhang Fan Li Bo Sun |
spellingShingle |
Jiyuan Kuang Chenghui Zhang Fan Li Bo Sun Dynamic Optimization of Combined Cooling, Heating, and Power Systems with Energy Storage Units Energies CCHP system energy storage off-design performance dynamic solving framework |
author_facet |
Jiyuan Kuang Chenghui Zhang Fan Li Bo Sun |
author_sort |
Jiyuan Kuang |
title |
Dynamic Optimization of Combined Cooling, Heating, and Power Systems with Energy Storage Units |
title_short |
Dynamic Optimization of Combined Cooling, Heating, and Power Systems with Energy Storage Units |
title_full |
Dynamic Optimization of Combined Cooling, Heating, and Power Systems with Energy Storage Units |
title_fullStr |
Dynamic Optimization of Combined Cooling, Heating, and Power Systems with Energy Storage Units |
title_full_unstemmed |
Dynamic Optimization of Combined Cooling, Heating, and Power Systems with Energy Storage Units |
title_sort |
dynamic optimization of combined cooling, heating, and power systems with energy storage units |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2018-08-01 |
description |
In this paper, a combined cooling, heating, and power (CCHP) system with thermal storage tanks is introduced. Considering the plants’ off-design performance, an efficient methodology is introduced to determine the most economical operation schedule. The complex CCHP system’s state transition equation is extracted by selecting the stored cooling and heating energy as the discretized state variables. Referring to the concept of variable cost and constant cost, repeated computations are saved in phase operating cost calculations. Therefore, the most economical operation schedule is obtained by employing a dynamic solving framework in an extremely short time. The simulation results indicated that the optimized operating cost is reduced by 40.8% compared to the traditional energy supply system. |
topic |
CCHP system energy storage off-design performance dynamic solving framework |
url |
http://www.mdpi.com/1996-1073/11/9/2288 |
work_keys_str_mv |
AT jiyuankuang dynamicoptimizationofcombinedcoolingheatingandpowersystemswithenergystorageunits AT chenghuizhang dynamicoptimizationofcombinedcoolingheatingandpowersystemswithenergystorageunits AT fanli dynamicoptimizationofcombinedcoolingheatingandpowersystemswithenergystorageunits AT bosun dynamicoptimizationofcombinedcoolingheatingandpowersystemswithenergystorageunits |
_version_ |
1725893690567688192 |