4.7 Article

A novel distributed energy system combining hybrid energy storage and a multi-objective optimization method for nearly zero-energy communities and buildings

期刊

ENERGY
卷 239, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2021.122577

关键词

Distributed energy system; Hybrid energy storage; Multi-objective optimization; Nearly zero-energy community; Zero-energy potential

资金

  1. National Key RAMP
  2. D Program of China [2019YFE0193100]

向作者/读者索取更多资源

A novel distributed energy system (DES) is proposed to create a nearly zero-energy community, and its design, optimization, and operation strategies are improved to enhance system performance. The results show that the new DES can significantly reduce carbon emissions and net interaction compared to the reference system, and the potential of achieving zero-energy is evaluated.
A distributed energy system (DES), which combines hybrid energy storage into fully utilized renewable energies, is feasible in creating a nearly zero-energy community. Improving the design, optimization, and operation of DESs is conducive to improving system performance. Therefore, a novel DES is proposed to combine a new solar energy utilization technology and hybrid energy storage (i.e., heat storage, ice storage, and electricity storage). In addition, a new operational strategy is put forward. Subsequently, based on nearly zero-energy community and buildings, the DES configuration is optimized in relation to its environment, economy, and net interaction. Its performance and operating characteristics are compared and analysed. Then, a new indicator is proposed to evaluate the potential of the DES to achieve zero-energy. Finally, a sensitivity analysis on the carbon tax, electricity price, and equipment price is carried out. The results show that the annual carbon emissions and net interaction of the novel DES are reduced by 51.7%-73.2% and 33.5%-63.6%, respectively, compared to the reference system. Herein, the nearly zero-energy office buildings have a better zero-energy potential at 91.1%. The novel DES and corresponding multi-objective optimization method can reference a nearly zero-energy community energy supply design. (C) 2021 Elsevier Ltd. All rights reserved.

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