NAME

Nan Li

Paper Publications

Economic and environmental optimization for distributed energy resource systems coupled with district energy networks
  • Hits:
  • Indexed by:

    期刊论文

  • First Author:

    Li, Longxi

  • Correspondence Author:

    Mu, HL (reprint author), Dalian Univ Technol, Key Lab Ocean Energy Utilizat & Energy Conservat, Minist Educ, Dalian 116024, Peoples R China.

  • Co-author:

    Mu, Hailin,Li, Nan,Li, Miao

  • Date of Publication:

    2016-08-15

  • Journal:

    ENERGY

  • Included Journals:

    SCIE、EI、Scopus

  • Document Type:

    J

  • Volume:

    109

  • Page Number:

    947-960

  • ISSN No.:

    0360-5442

  • Key Words:

    Distributed energy resource system; District energy networks; Economic optimization; Environmental optimization

  • Abstract:

    This study aims to optimize DER (distributed energy resource) system with respect to economic and environmental objectives. In particular, we developed a mixed-integer linear programming model with multiple objectives at a neighbourhood level containing residential and office buildings. The equipment and layout of the district energy (power, heating, and cooling) networks were selected from several potential energy devices and paths using a mathematical model. The objectives of the model were to minimize the total annual cost and CO2 (carbon dioxide) emission and achieve the optimal design and operation to meet the yearly energy demands. Moreover, the economic and environmental benefits under different weights of the objective function were evaluated by sensitivity analysis. The results show that at a neighbourhood level, the DER system has significant environmental and economic benefits. The system could spontaneously select the most appropriate operation strategy using the developed mathematical model. In multiobjective scenarios, with the increase in the weight of environmental factor, the emission decreases and the cost increases gradually. When considering a single objective, the minimization of cost or carbon emission leads to a poor cost performance. (C) 2016 Elsevier Ltd. All rights reserved.

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