• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2019, Vol. 40 ›› Issue (8): 3-11.doi: 10.3969/j.issn.1000-7229.2019.08.001

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Study on Optimal Capacity Planning of Building Integrated Energy System

ZHANG Tao, HU Zechun, ZHANG Danyang   

  1. Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
  • Online:2019-08-01
  • Supported by:
    This work is supported by State Grid Corporation of China Research Program (No. 52010118000U).

Abstract: The efficiency of combined cooling heating and power (CCHP) is high on account of cascading energy utilization to meet the multiple load requirements. With the rapid development of renewable energy technology, integrated energy system incorporating with various renewable energies has been widely concerned. The multi-energy demands of different building types vary greatly in different regions. This paper obtains the typical building cooling, heating and power demands on the basis of the simulation of multi-energy demands, and analyzes the energy demand characteristics, which include the heat-power ratio and cooling-power ratio in different building types. Moreover, this paper deduces energy production, recycle, conversion and storage segments from energy utilization process. A mixed integer nonlinear programming model (MINLP) is built for above four segments in integrated energy system on the basis of the energy balance principle. The factors which have prominent influences on integrated energy system are identified. Simulation results show that the optimal configurations of integrated energy system and CCHP equipment, obtained by the proposed method, change with different locations and types of buildings.

Key words: integrated energy system, organic Rankine cycle (ORC), mixed integer nonlinear programming (MINLP), system optimization, economic analysis

CLC Number: