Skip to main navigation Skip to search Skip to main content

Optimizing Neighborhood Consumption of Renewables through Clustering an H2 Storage: An Economic Assessment of an Austrian Community

  • Max Blöchle (Speaker)
  • , Gerhard Zucker
  • , Thomas Leber
  • , Evangelia Xypolytou
  • , Wolfgang Prüggler
  • , Thomas Rührlinger
  • TU Wien
  • Fronius International GmbH

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

Abstract

Renewable energy sources make the matching of production and storage in the electric grid a major challenge. Aside of introducing additional storage the possibility of on-site consumption of renewable energy is a valid option. The system boundary is not necessarily a single building, but may consider neighborhoods of buildings, which can be clustered in order to maximize use of local generation. Clusters of producers and consumers achieve a higher on-site consumption ratio and thereby show economic advantages. This is shown in a scenario where clustering of consumers connected to common a PV plant increases the discounted cash flow significantly, making it economically viable without subsidies. For additional benefits also the effect of Demand Side Management (DSM), short and long term storages are investigated.
Original languageEnglish
Title of host publication12th International Conference On The European Energy Market (EEM15)
Publication statusPublished - 2015
Event12th International Conference On The European Energy Market (EEM15) -
Duration: 20 May 2015 → 23 May 2015

Conference

Conference12th International Conference On The European Energy Market (EEM15)
Period20/05/15 → 23/05/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Research Field

  • Former Research Field - Energy

Keywords

  • data integration; distributed power generation; energy consumption; renewable energy sources; solar energy

Fingerprint

Dive into the research topics of 'Optimizing Neighborhood Consumption of Renewables through Clustering an H2 Storage: An Economic Assessment of an Austrian Community'. Together they form a unique fingerprint.

Cite this