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...

Full description

Bibliographic Details
Main Authors: Jiyuan Kuang, Chenghui Zhang, Fan Li, Bo Sun
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