Abstract

The combined cooling, heating and power (CCHP) system not only has high energy efficiency but also has different load structures. Traditional separate production (SP) system and power supply system do not consider the land cost in terms of the environmental benefits, and in the aspect of the power supply reliability, the grid-connected inverter cost is also ignored. Considering the deficiency of the traditional energy supply system, this paper builds the CCHP system construction cost model. The particle swarm optimization (PSO) is adopted to find out the minimum value of the construction cost, and the optimal system construction scheme is constructed from three aspects which are system reliability, economic benefits and environmental benefits. In this paper, the typical daily data, as well as the meteorological data and the load data, in the last four years are taken as experimental dataset. The experimental results show that compared with the traditional SP system and power supply system, the CCHP system established in this paper not only achieves lower cumulative investment cost, but also has a good power supply reliability and environmental benefits.

Highlights

  • With the rapid development of the global economy and the continuous improvement of people’s living standards, the demand for energy is apparently increasing

  • The proposed combined cooling heating and power (CCHP) system is compared with the traditional separate production (SP) system and power supply system, and the experimental result shows that the proposed CCHP system has lower cumulative investment cost, higher environmental benefits, and better power supply reliability

  • If the energy generated by the flue gas cannot satisfy the heating or cooling load, the natural gas consumed by direct-fired lithium absorption water units (DLB) and the power consumed by electric refrigerator (ER) and electric boiler (EB) will provide the rest of the energy [20]

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Summary

Introduction

With the rapid development of the global economy and the continuous improvement of people’s living standards, the demand for energy is apparently increasing. From the perspective of improving energy efficiency, reducing environmental pollution and enhancing the reliability of the system, the optimal configuration of the traditional. Li et al optimized the configuration of the system from the aspect of energy analysis, economic benefits, and environmental benefits, and utilized two algorithms to compare the economic benefits under different scenarios to obtain the most suitable parameter configuration Uncontrollable factors, such as the gas price fluctuation and the meteorological condition, make the whole system unreliable [11]. Since the current CCHP system does not fully consider the system configuration cost, system operation cost, system reliability evaluation matrices, environmental protection evaluation matrices and economic benefit evaluation matrices in the system construction process, there is still room for improvement in the optimal configuration of the system. The proposed CCHP system is compared with the traditional SP system and power supply system, and the experimental result shows that the proposed CCHP system has lower cumulative investment cost, higher environmental benefits, and better power supply reliability

The Construction of CCHP System
The Construction of the Objective Function
Constraint
Constraint of the Energy Storage Unit
Energy Supply and Demand Constraint
Constraint of Energy Output Equipment
Reliability Evaluation Metric
Economic Evaluation Metric
Environmental Protection Evaluation Metric
Load Analysis
The Power Output Analysis of Uncontrollable Unit
Algorithm Analysis
Model Solution
Evaluating Reliability of the System
Evaluating the System in Environmental Protection
Conclusion

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