scholarly journals Research on multi-heat-source scheduling strategy of heating system based on improved fireworks algorithm

2021 ◽  
Vol 7 ◽  
pp. 7628-7639
Author(s):  
Leilei Hui ◽  
Junqi Yu ◽  
Anjun Zhao ◽  
Fu Wang ◽  
Xiaohan Yang ◽  
...  
Solar Energy ◽  
2005 ◽  
Vol 78 (3) ◽  
pp. 427-440 ◽  
Author(s):  
N.C. Baek ◽  
U.C. Shin ◽  
J.H. Yoon
Keyword(s):  

2014 ◽  
Vol 541-542 ◽  
pp. 942-948
Author(s):  
Xian Peng Sun ◽  
Zhi Rong Zou ◽  
Yue Zhang

Based on the finite-time thermodynamic theory, an operation optimization, of water source heat pump in the combined solar with a dual heat source heat pump which is applied in a greenhouse heating system, is made. According to the ε-NTU method and entropy theory, heat exchange and balance equations are obtained. The function relationship between COP and the indoor temperature Tn, the ambient temperature Ta, low temperature heat source inlet temperature Tie and high temperature heat source inlet temperature Tic is also obtained. By means of programming, the impact of parameters on the COP and the way of regulating this water source heat pump system are presented in this article. The results show that: when a separate water source heat pump is running, by adjusting the hot water temperature and the match status of each indoor heating system, the energy-saving operation can be realized.


2012 ◽  
Vol 170-173 ◽  
pp. 2743-2746
Author(s):  
Feng Li ◽  
Zhe Tian ◽  
Qiang Fu ◽  
Qian Ru Li

The double-energy heating system studied in this paper is consisted of centrifugal sewage-source heat pumps and gas boilers. As the grade and price of the two kinds of energy are different, the heating capacity of the heat-source equipments would have a directly impact on the energy consumption and operating cost of the system. In order to obtain the optimal heating capacity of the heat-source equipments, the calculation models on equipments utilized in this system are firstly established, and then different combination patterns of the heat-source equipments were analyzed on the basis of minimum operating cost, finally, the optimal heating capacity of the heat-source equipments and the heating performance factor (HPF) of the system in different outdoor temperatures were obtained, the results indicate the average HPF of the system in the heating period is 3.57. The method and results provide reference for scientific design of the double-energy heating system.


2016 ◽  
Vol 856 ◽  
pp. 297-302 ◽  
Author(s):  
Anna Tsynaeva ◽  
Katerina Tsynaeva

Systems of heat consumption of the building with heat pump that uses low-grade heat source are investigated. Effectiveness of heat consumption systems with heat pump is concluded effective for severe climatic conditions prevailing in Russia. Characteristics of heat consumption system with heat pump and the traditional heating system are compared. In this case the heat pump is used the warmth of the environment, that is why considered operating conditions for the autumn and spring. Low inertia of heat systems with heat pump compared to traditional ones during autumn and spring proved.


2013 ◽  
Vol 663 ◽  
pp. 717-721
Author(s):  
Zhi Gang Zhou ◽  
Peng Wang ◽  
Ping Hua Zou

Multi-heat source co-heating networks have become the main trend of future development. However, the research for the thermal optimization and dispatch of multi-heat source co-heating networks is quite few in our country. In this paper, the general process of the optimal dispatch for multi-heat source co-heating systems is proposed, and the mathematical model for optimal thermal dispatch of multi-heat source co-heating systems is established. In addition, formulas and parameter selection method for the typical thermal schemes were given. By taking an actually heating network as an example, procedure and method for some thermal dispatch schemes are provided, and the optimal operating scheme based on technical and economic analysis is given. The method provided in this paper may supply the theoretical basis for operation scheduling of realistic engineering heating network. It is very meaningful for saving energy and improving environment.


2013 ◽  
Vol 313-314 ◽  
pp. 418-421
Author(s):  
Yun Feng Ma

The traditional heating system just controls the heat source by the PLC,but it dose not control the heating pipe.so it can not solve the problem that it is hot near the heat source but cold when far away from it.The problem of pipe network imbalance also can not be solved.To solve these problems,we design an intelligent control system of pipe network,which combine the traditional heating control system to realize saving energy.This paper introduces the design thought of the application of Siemens programmable controller in heating pipe network,and elaborate on the hardware design and the software programmable of the control system.The actual system operation shows that the remote monitoring system of heating pipe network based on Siemens PLC is high reliability and high stability, and the effect in energy saving is remarkable.


2014 ◽  
Vol 2014 ◽  
pp. 1-10
Author(s):  
Fang Fang ◽  
Nan Wang

With the rapid development of China’s urbanization, the proportion between the heating consumption and the energy consumption of the whole society keeps rising in recent years. For a district heating system, the selection of the heat source makes significant impact on the energy efficiency and the pollutant emissions. By integrating the methods of the Analytic Hierarchy Process (AHP) and the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE), a multiple-attribute decision-making scheme for the heat source selection of district heating systems is proposed in this paper. As a core part of this scheme, a comprehensive benefit index with hierarchical parallel structure is constructed. The economic benefit, environment benefit, and technical benefit can be reflected with a certain percentage in the comprehensive benefit index. To test the efficiency of the proposed scheme, a case study for a large-scale district heating system in Beijing is carried out, where five kinds of heat sources (water source heat pump, ground source heat pump, gas-fired boiler, coal-fired boiler, and oil-fired boiler) are taken into account. The analysis and instructions for the final sorting result are also demonstrated.


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