Net-zero multi-energy systems for Siberian rural communities: A methodology to size thermal and electric storage units

被引:57
|
作者
Sokolnikova, P. [1 ]
Lombardi, P. [2 ]
Arendarski, B. [2 ]
Suslov, K. [3 ]
Pantaleo, A. M. [4 ,5 ]
Kranhold, M. [1 ]
Komarnicki, P. [6 ]
机构
[1] 50 Hertz Transmiss GmbH, Berlin, Germany
[2] Fraunhofer Inst IFF Magdeburg, Magdeburg, Germany
[3] Irkutsk Natl Res Tech Univ, Irkutsk, Russia
[4] Univ Bari Aldo Moro, Dept Agroenvironm Sci, Bari, Italy
[5] Imperial Coll London, Dept Chem Engn, Clean Energy Proc Lab, London, England
[6] Univ Appl Sci, Magdeburg, Stendal, Germany
基金
欧盟地平线“2020”;
关键词
Energy storage; Isolated microgrids; Multi-energy systems; Net-zero energy systems; Renewable energy; Rural communities; LIFE-CYCLE COST; RENEWABLE ENERGY; ELECTRIFICATION; AREAS;
D O I
10.1016/j.renene.2020.03.011
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
About 15 million people live in rural communities in the Russian Federation. Most of them are not energetically supplied from the main national infrastructures (electric and gas). People living in such isolated communities use diesel engines for generating electricity and heat. In many cases, diesel is supplied using rail tracks, boats or even helicopters. Consequently, the generation of electricity has very high costs and very low reliability. For this reason, more and more rural isolated communities are using renewable energy sources to decrease their dependency on diesel sources. This study deals with the concept of net-zero multi-energy systems in rural and stand-alone areas. A methodology, based on economical, ecological, technical and social criteria, has been developed for planning the generation capacity and sizing the energy storage units. In addition, controlling algorithms have been developed to deal with the volatility of renewable energy sources (wind and sun) and integrate heat/electricity energy systems. The proposed methodology has been applied to the design of a net-zero energy system for a Siberian rural energy community. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页码:979 / 989
页数:11
相关论文
共 50 条
  • [1] Net-zero Energy Systems Methodology and Benchmark for establishing Net-zero Energy Systems
    Richter, Marc
    Lombardi, Pio
    Komarnicki, Przemyslaw
    ATP MAGAZINE, 2021, (11-12): : 56 - 63
  • [2] Recent advances in net-zero energy greenhouses and adapted thermal energy storage systems
    Gorjian, Shiva
    Ebadi, Hossein
    Najafi, Gholamhassan
    Chandel, Shyam Singh
    Yildizhan, Hasan
    SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2021, 43
  • [3] Technical and economic analysis of multi-energy complementary systems for net-zero energy consumption combining wind, solar, hydrogen, geothermal, and storage energy
    Li, Manfeng
    Zhu, Kaiyang
    Lu, Yiji
    Zhao, Qingling
    Yin, Kui
    ENERGY CONVERSION AND MANAGEMENT, 2023, 295
  • [4] Towards achieving net-zero energy communities: Investigation of design strategies and seasonal solar collection and storage net-zero
    Hachem-Vermette, Caroline
    Guarino, Francesco
    La Rocca, Vincenzo
    Cellura, Maurizio
    SOLAR ENERGY, 2019, 192 : 169 - 185
  • [5] Multi-energy sharing optimization for a building cluster towards net-zero energy system
    Gao, Hongjun
    Cai, Wenhui
    He, Shuaijia
    Jiang, Jun
    Liu, Junyong
    APPLIED ENERGY, 2023, 350
  • [6] Intermittency and periodicity in net-zero renewable energy systems with storage
    Cosgrove, Paul
    Roulstone, Tony
    Zachary, Stan
    RENEWABLE ENERGY, 2023, 212 : 299 - 307
  • [7] Optimal Sizing and Operation of Electric and Thermal Storage in a Net Zero Multi Energy System
    Bruno, Sergio
    Dicorato, Maria
    La Scala, Massimo
    Sbrizzai, Roberto
    Lombardi, Pio Alessandro
    Arendarski, Bartlomiej
    ENERGIES, 2019, 12 (17)
  • [8] Peer-to-peer energy trading of net-zero energy communities with renewable energy systems integrating hydrogen vehicle storage
    Liu, Jia
    Yang, Hongxing
    Zhou, Yuekuan
    APPLIED ENERGY, 2021, 298
  • [9] Net-Zero Scheduling of Multi-Energy Building Energy Systems: A Learning-Based Robust Optimization Approach With Statistical Guarantees
    Yang, Yijie
    Shi, Jian
    Wang, Dan
    Wu, Chenye
    Han, Zhu
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2024, 15 (04) : 2675 - 2689
  • [10] Estimating thermal energy loads in remote and northern communities to facilitate a net-zero transition
    Maynard, Ian
    Abdulla, Ahmed
    ENVIRONMENTAL RESEARCH: INFRASTRUCTURE AND SUSTAINABILITY, 2023, 3 (01):