Environmental impacts of different battery technologies in renewable hybrid micro-grids

Manuel Baumann, Jens Peters, Marcel Weil, Carolina Marcelino, Paulo Almeida, Elizabeth Wanner

Research output: Chapter in Book/Published conference outputConference publication

Abstract

Battery storage is considered as crucial for the safe operation and design of hybrid micro-grid systems (HMGS) by balancing load and generation from renewable energy sources. However, several battery technologies are available for this purpose, with different greenhouse gas emissions associated with their production. This paper applies a canonical differential evolutionary particle swarm algorithm for optimizing HMGS design and operation. Optimization goals are minimization of electricity costs and loss of power supply probability and maximization of renewable shares. The global warming potential of the obtained HMGS supported by different battery technologies is then determined via life cycle assessment. Results indicate that all the considered battery types lead to environmental benefits when compared with a HMGS without storage. Lithium iron phosphate and sodium nickel chloride batteries show favorable results whereas lead acid and lithium manganese oxide batteries are ranked last.

Original languageEnglish
Title of host publication2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Proceedings
PublisherIEEE
Pages1-6
Number of pages6
Volume2018-January
ISBN (Electronic)9781538619537
DOIs
Publication statusPublished - 16 Jan 2018
Event2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017 - Torino, Italy
Duration: 26 Sept 201729 Sept 2017

Conference

Conference2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2017
Country/TerritoryItaly
CityTorino
Period26/09/1729/09/17

Keywords

  • Batteries
  • Electrochemical devices
  • Environmental management
  • Evolutionary computation
  • Global warming
  • Hybrid power systems
  • Micro-grids
  • Particle swarm optimization
  • Renewable energy sources

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