Abstract
The objective of this research is to establish a multiobjective fractional programming (MOFP) model for supporting the operational management of a combined heat and power (CHP) system. Compared with the traditional operational optimization model of the CHP system, the importance of the energy intensity (i.e., the ratio of energy consumption and energy production) was emphasized in the MOFP model, which is considered as the system objective for replacing the common objective of minimizing the economic cost. This innovative transformation effectively reduces excessive energy consumption, accompanied by improvement in the system revenue. The CHP system of an industrial park in the City of Jinan, China, was used as a study case for demonstration. The obtained results reflected that the combination of two gas turbines (GTs) ensured safe, efficient, and stable output for meeting daily power requirements in various seasons. As for the steam load, during the summer, two heat recovery steam generators (HRSGs) play a major role, where the insufficient part is supplemented by two gas-fired boilers (SBs); conversely, the steam load in winter is mainly satisfied by the aid of two SBs. The successful application of the MOFP model in the park could provide a good demonstration for CHP management in many other districts and cities.
Highlights
According to the report released by the National Energy Administration of China, the utilization of conventional energy sources, including petroleum and coal, still reached more than 85% of total energy provision amounts in recent years
The combined heat and power (CHP) system was adopted for meeting the thermal and electric loads in this park, mainly because of the following: (i) the design and operation of the CHP system is capable of improving energy efficiency and mitigating the amounts of the pollutants, compared with traditional mode, which is in line with national macro policy; (ii) it could realize stable energy provision and ensure normal production and life, where annual service-failure time could be shortened from 24 h to 7 s
The consumption amounts of the natural gas, electricity, and water corresponding to a profit of one million RMB by multiobjective fractional programming (MOFP) model were lower than those obtained relying solely on the traditional model, where their differences are 1243.39 m3, 126.64 kW, and 14.19 t, respectively
Summary
According to the report released by the National Energy Administration of China, the utilization of conventional energy sources, including petroleum and coal, still reached more than 85% of total energy provision amounts in recent years. Yang et al [11] proposed the operation optimization model of the CCHP system for typical buildings in different climatic regions and examined the influence of critical meteorological factors on the energy-supply scheme. Based on the conception of energy intensity, this research innovatively formulated a new operation optimization model of the CHP system with the new objective function of minimizing the ratio of energy utilization and Energies 2022, 15, 1965 economic output. It firstly realized the integration of the fractional programming (FP) and traditional operation optimization model of the NGDE system in order to maximize the economic benefits and improve energy efficiency simultaneously.
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