Open AccessResearch on the Software of Planning Assisted Decision of Park Integrated Energy System
Author(s) -
Gao Zuo,
Chao Zhang,
Zhenshan Teng,
Binbin Wang,
Zhiguang Wang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/632/4/042025
Subject(s) - software , energy planning , energy (signal processing) , investment (military) , scheme (mathematics) , service (business) , decision support system , investment decisions , integrated business planning , software system , computer science , systems engineering , operations research , environmental economics , engineering , business , economics , marketing , finance , data mining , operating system , renewable energy , electrical engineering , politics , mathematical analysis , statistics , mathematics , behavioral economics , law , political science
According to the characteristics of multi-demand of integrated energy customers, multi-faceted projects and complex technology categories, a decision-making software for integrated energy system planning is proposed. By constructing the investment income model of the energy system in the park, the software realizes the accurate planning of the capacity of the integrated energy system and the accurate evaluation of the investment income of the energy system, which provides the auxiliary decision support for the energy end users, the energy service providers and so on. The software realizes the intelligent optimization of the planning scheme through the optimization algorithm, and realizes the optimal planning capacity and investment income of the integrated energy system in the park. The software enriches the means of energy system planning and design, and improves the efficiency of planning.