Abstract

Now that China has outlined its goals of “carbon peak and carbon neutrality”, the development of clean energy will accelerate, the connection between different energy systems will be closer, and the development prospects of the integrated energy service industry will be broader. Integrated energy services are promoting energy transformation and services. “Carbon peaking, carbon neutrality” and other aspects will also have multiple values and far-reaching significance. Before implementing integrated energy services, the top-level design of integrated energy system planning must be carried out, and how to achieve the optimal allocation of capacity in the field of integrated energy systems is an urgent problem to be solved in integrated energy system planning. This paper combines practical engineering experience and the latest theoretical research results to creatively introduce, for the first time, a comprehensive evaluation into the initial planning stage, and proposes, also for the first time, a three-level multi-element comprehensive energy system planning optimization method which combines multi-element requirements to carry out comprehensive energy system planning and optimization. The three-tier planning and optimization solution results in the optimal planning scheme of the integrated energy system, thereby making the scheme more specific and reliable. According to the demand data of an industrial park, this method was applied to complete a case analysis of integrated energy system planning, which verified the feasibility and effectiveness of the method. This method is easy to popularize, and it will guide the planning of integrated energy systems, promote integrated energy services, promote energy transition, and make positive contributions to achieve carbon neutrality as soon as possible.

Highlights

  • Energy is the foundation of human survival and development, and the lifeblood of economy and society

  • To achieve the goals of “carbon peak and carbon neutrality”, it is imperative that China adjusts its economic structure as well as transforms and upgrades its development model, especially since the transformation and development of energy systems can aptly advance this goal of carbon peak and our means of attaining it—which is definitely worth exploring

  • In order to realize the reasonable decision of the comprehensive energy system planning scheme, this paper creatively introduces the comprehensive evaluation into the initial planning stage for the first time, constructs a multi-index comprehensive evaluation system, and uses the combined evaluation method of analytic hierarchy process and entropy weight method to score the preliminary planning scheme comprehensively

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Summary

Introduction

Energy is the foundation of human survival and development, and the lifeblood of economy and society. The two concepts are the same: on the one hand, building an integrated energy system uses advanced physical information technology and innovative management models to integrate renewable energy, coal, oil, natural gas and other energy resources in the region to realize coordinated planning, optimized operation, coordinated management, interactive response, and mutual assistance among heterogeneous energy subsystems to meet the diversified energy demand in the system, whilst simultaneously effectively improving energy utilization efficiency and promoting sustainable energy development; on the other hand, relying on the integrated energy system to carry out integrated energy services, based on integrated energy supply, will integrate energy storage facilities, electrified transportation, and other elements through natural gas cooling, heating and power co-generation, distributed energy, energy-smart micro-grid, etc This method, by combining with Big Data, Cloud computing, the Internet of Things, and other technologies, realizes multi-energy coordinated supply and the comprehensive cascade utilization of energy, improves the energy system efficiency, and reduces energy production and consumption costs. According to the demand data of an industrial park, a case study of integrated energy system planning is completed to verify the feasibility and effectiveness of the method

Method and Process
Optimization Model for Integrated Energy System Planning
Restrictions
Hierarchy Process and Entropy Method
Chromatographic Analysis Method to Determine the Index Weight
Combination of Subjective and Objective Weights
Solve the Scoring Function
Park Overview
Load Curve
Energy Data
Optimal Planning Scheme Set
Comprehensive Weight of Index System
Comprehensive Scoring Function
Conclusions
Full Text
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