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Research Article

Research on the evaluation of distributed integrated energy system using improved analytic hierarchy process-information entropy method

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Pages 10071-10093 | Received 08 Mar 2022, Accepted 20 Oct 2022, Published online: 11 Nov 2022
 

ABSTRACT

Comprehensive performance evaluation is a fundamental part of the design and operation optimization of distributed integrated energy systems (IES), and the evaluation is currently focused on three types of elements: economic, energy efficiency and environmental protection. In this paper, energy use quality elements are proposed from the high energy supply requirements of users for distributed IES and characterized by the supply-demand imbalance rate indicator. Then the Analytic Hierarchy Process (AHP) and the information entropy method are combined to form a combined evaluation method by weighing the subjective and objective methods. The comprehensive performance evaluation of distributed IES with nine indicators considering four elements of economy, energy efficiency, environmental protection and energy use quality is realized. The feasibility and validity of the proposed indicators and the difference between the proposed combination method and the existing combination method are verified by the calculation examples. In the single-objective optimization with optimal energy use quality, the supply-demand imbalance rates for heat and cold are −0.05 and −0.035, respectively, which are the best among the five optimization schemes and fully guarantee the stability and quality of energy supply. However, its CO2 emission of 5738.91 (t/year) shows that this indicator is not suitable for the limitation of single-objective optimization, and it would be more suitable for comprehensive optimization with the above three indicators. The weights of operation cost, heat and cold supply-demand imbalance in the AHP method are 0.2247,0.0539,0.0539. The corresponding weights in the information entropy method are 0.0930,0.1670,0.1864. The corrected values are 0.1999, 0.0861, 0.0961. The results show the corrective effect of the information entropy method on the AHP. In addition, the combination method proposed in this paper corrects the configuration cost term to 0.2032, which is larger than both 0.1588 in the AHP method and 0.1388 in the information entropy method, highlighting the difference from existing combination methods. The above data show that the comprehensive evaluation by the AHP-information entropy method can effectively consider the four elements’ role. It provides a new idea for the research on the impact of distributed IES energy storage on the energy use quality of the system and the construction and operation optimization of the comprehensive performance evaluation indicator of the system.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Nomenclature

IES=

Integrated Energy System

TOPSIS=

Technique for Order Preference by Similarity to an Ideal Solution

AHP=

Analytic Hierarchy Process

FHL=

Fixing Heating Load

CHP=

Combined Heat and Power

ξ=

evaluation indicators

K=

total number of micro gas turbine models

Dk=

number of configurations of a certain type of micro gas turbine

L=

total number of capacity continuous equipment

ω=

cost factor¥/kW

C=

equipment capacitykW

R=

annuity present value coefficient

St=

number of days in the season at time t

V=

gas consumptionm3

P=

electricit ykWh

Q=

heat/cool energy kWh

PER=

primary energy utilization

Dee,Deh,Dec=

electricity, heat and cold energy load kW

Eg=

coal-fired cogeneration unit coal consumption for power generation kg/kWh

Qnet,v,ar=

coal-fired received base heat kg/kWh

Pgrid=

electricity purchase from grid kWh

Qf0=

calorific value kJ/kg

φgrid=

grid transmission line loss rate

Ex=

exergykWh

λe,λh,λc=

electricity, heat, cold exergy coefficient

λcoal,λng=

natural gas chemistry, coal exergy coefficient

ξcde,ξnoxe,ξsde=

CO2,NOx,SO2 emissions

ζ=

pollutant emission factor kg/kWh

β=

equipment load rate

δ=

the start and stop state of equipment

EIR=

imbalance energykWh

Subscripts

confc=

configuration cost¥/kW

oc=

operating cost¥/kW

f=

fuel

om=

operation and maintenance cost

sub=

subsidy

ac=

absorption cold and warm water unit

gb=

gas boiler

hp=

air source heat pumps

ec=

dual working condition chiller

sto=

energy storage equipment

pv=

photovoltaic equipment

Additional information

Funding

The work was supported by the National Natural Science Foundation of China [51936003]; National Key Research and Development Program of China [2018YFB1502900].https://doi.org/10.1016/j.applthermaleng.2022.118423 and https://doi.org/10.1016/j.energy.2022.124336.

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