Title: Feasibility study of power-to-gas technology as a solution to facilitate the integration of solar energy on the Swiss distribution grid
Authors : Knazkins, Valerijs
Korba, Petr
Kienzle, Florian
Bigler, Felix
Park, Chan
Conference details: 11th International Renewable Energy Storage Conference : IRES 2017, EUROSOLAR The European Association for Renewable Energy, Düsseldorf, 14–16 March 2017
Issue Date: 2017
License (according to publishing contract) : Licence according to publishing contract
Type of review: Not specified
Language : English
Subjects : Renewable Energy Sources; Power-to-Gas; Energy storage; Distribution grid
Subject (DDC) : 620: Engineering
621.04: Energy engineering
Abstract: According to the Energy Strategy 2050 set forth by the Swiss federal government, Photovoltaic (PV) energy shall make up one fifth of the nation’s total energy production in 2050. Such a drastic expansion rate of PV and the resulting excess energy thereof can lead to so-called reverse power flow in the low voltage (LV) grid as demonstrated in previous studies. Power-to-Gas (PtG) represents a suitable storage solution to resolve the situation by absorbing the excess PV energy. This report presents qualitative and quantitative feasibility analysis of the Power-to-Gas (PtG) technology in the future Swiss low voltage (LV) grid, which will be characterized by a significant share of intermittent renewable energy sources (RES). For this purpose, a model of producing hydrogen or methane with Photovoltaics (PV) excess energy and additional energy from the grid is established. Data and results from a load flow analysis of a previous study serves as the basis for the analysis. Impact of the PtG technology is demonstrated through nine different operating scenarios established. The input energy source to the PtG plant comprises the excess PV energy and the energy from the grid. Economic values, such as levelized cost of energy (LCOE) and levelized value of electricity (LVOE), are calculated to assess the economic feasibility. Moreover, sensitivity analysis is conducted to identify the parameters having the strongest impact on the electricity cost.
Departement: School of Engineering
Publication type: Conference Other
URI: https://digitalcollection.zhaw.ch/handle/11475/1716
Appears in Collections:Publikationen School of Engineering

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.