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Energy Quality Management for a Micro Energy Network Integrated with Renewables in a Tourist Area: A Chinese Case Study

Author

Listed:
  • Hai Lu

    (Electric Power Test and Research Institute, Yunnan Power Grid, Kunming 650217, China
    These authors contributed equally to this work.)

  • Jiaquan Yang

    (Electric Power Test and Research Institute, Yunnan Power Grid, Kunming 650217, China
    These authors contributed equally to this work.)

  • Kari Alanne

    (Department of Mechanical Engineering, Aalto University, P.O. Box 14100, 00076 Aalto, Finland)

Abstract

For a tourist area (TA), energy utilization is mostly concentrated in certain period of time. Therefore, the peak load is several times more than the average load. A Micro Energy Network Integrated with Renewables (MENR) system is considered as a potential solution to mitigate this problem. To design an appropriate MENR system, a multi-objective energy quality management (EQM) method based on the Genetic Algorithm is proposed. Here, EQM aims at reducing the primary energy consumption and optimizing the energy shares of various renewables in a MENR system. In addition to minimizing life-cycle costs and maximizing the exergy efficiency of a MENR system, the issue of system reliability is addressed. Then, a case study is presented, where the EQM method is applied to a TA located in Dali, China. Three possible reference MENR scenarios are analyzed. After confirming the reference scenarios, advanced MENR scenarios with improved system reliability are discussed. The rest of the work is dedicated to investigating the effects of various energy storage systems (ESSs) parameters and the number of electric vehicles (EVs) on MENR scenarios. The results suggest that there are significant differences between various MENR scenarios depending on the number of EVs and the investment reduction of ESSs.

Suggested Citation

  • Hai Lu & Jiaquan Yang & Kari Alanne, 2018. "Energy Quality Management for a Micro Energy Network Integrated with Renewables in a Tourist Area: A Chinese Case Study," Energies, MDPI, vol. 11(4), pages 1-24, April.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:1007-:d:142300
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    3. Lyubov Y. Matich, 2017. "Roadmaps as a Tool for Modeling Complex Systems," HSE Working papers WP BRP 73/STI/2017, National Research University Higher School of Economics.

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