Study on Collaborative Optimization of Multi-Energy Complementary Combined Cooling, Heating, and Power Systems Considering Schedulable Loads

2022 ◽  
pp. 29-48
Author(s):  
Xiao Gong ◽  
Fan Li ◽  
Bo Sun ◽  
Dong Liu
Keyword(s):  
Power Systems ◽  
Collaborative Optimization ◽  
Combined Cooling

scholarly journals Collaborative Optimization of Multi-Energy Complementary Combined Cooling, Heating, and Power Systems Considering Schedulable Loads

Energies ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 918 ◽  
Author(s):  
Xiao Gong ◽  
Fan Li ◽  
Bo Sun ◽  
Dong Liu
Keyword(s):  
Energy Storage ◽  
Power Systems ◽  
Greenhouse Gas Emission ◽  
Renewable Energy Sources ◽  
Reduction Rate ◽  
Collaborative Optimization ◽  
Saving Rate ◽  
Environment Factors ◽  
Energy Economy ◽  
Combined Cooling

Combined cooling, heating, and power (CCHP) systems are a promising energy-efficient and environment-friendly technology. However, their performance in terms of energy, economy, and environment factors depends on the operation strategy. This paper proposes a multi-energy complementary CCHP system integrating renewable energy sources and schedulable heating, cooling, and electrical loads. The system uses schedulable loads instead of energy storage, at the same time, a collaborative optimization scheduling strategy, which integrates energy supply and load demand into a unified optimization framework to achieve the optimal system performance, is presented. Schedulable cooling and heating load models are formulated using the relationship between indoor and outdoor house temperatures. A genetic algorithm is employed to optimize the overall performance of energy, economy, and environment factors and obtain optimal day-ahead scheduling scheme. Case studies are conducted to verify the efficiency of the proposed method. Compared with a system involving thermal energy storage and demand response (DR), the proposed method exhibits a higher primary energy saving rate, greenhouse gas emission reduction rate, and operation costs saving rate of 7.44%, 6.59%, and 4.73%, respectively, for a typical summer day, thereby demonstrating the feasibility and superiority of the proposed approach.

Impacts of equipment off-design characteristics on the optimal design and operation of combined cooling, heating and power systems

2013 ◽  
Vol 48 ◽  
pp. 40-47 ◽  
Author(s):  
Zhe Zhou ◽  
Pei Liu ◽  
Zheng Li ◽  
Efstratios N. Pistikopoulos ◽  
Michael C. Georgiadis
Keyword(s):  
Optimal Design ◽  
Power Systems ◽  
Design Characteristics ◽  
Combined Cooling

scholarly journals Reliability and Maintenance Prioritization Analysis of Combined Cooling, Heating and Power Systems

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

Combined Cooling, Heating, and Power Systems

2017 ◽  
Author(s):  
Yang Shi ◽  
Mingxi Liu ◽  
Fang Fang
Keyword(s):  
Power Systems ◽  
Combined Cooling

Analysis of different arrangements of combined cooling, heating and power systems with internal combustion engine from energy, economic and environmental viewpoints

2020 ◽  
Vol 203 ◽  
pp. 112253 ◽  
Author(s):  
Mohammad Mahdi Balakheli ◽  
Mahmood Chahartaghi ◽  
Mohammad Sheykhi ◽  
Seyed Majid Hashemian ◽  
Nima Rafiee
Keyword(s):  
Power Systems ◽  
Internal Combustion Engine ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Combined Cooling

scholarly journals Solar combined cooling, heating and power systems based on hybrid PVT, PV or solar-thermal collectors for building applications

2019 ◽  
Vol 143 ◽  
pp. 637-647 ◽  
Author(s):  
María Herrando ◽  
Antonio M. Pantaleo ◽  
Kai Wang ◽  
Christos N. Markides
Keyword(s):  
Power Systems ◽  
Solar Thermal ◽  
Solar Thermal Collectors ◽  
Combined Cooling

scholarly journals Dynamic Optimization of Combined Cooling, Heating, and Power Systems with Energy Storage Units

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2288 ◽  
Author(s):  
Jiyuan Kuang ◽  
Chenghui Zhang ◽  
Fan Li ◽  
Bo Sun
Keyword(s):  
Power Systems ◽  
Operating Cost ◽  
Variable Cost ◽  
State Variables ◽  
Energy Supply System ◽  
Constant Cost ◽  
Cost Calculations ◽  
Operation Schedule ◽  
Short Time ◽  
Combined Cooling

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.

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