Integration of Power-To-Methane into Glass Melting Processes

被引:1
作者
Gaertner, Sebastian [1 ,2 ]
Rank, Daniel [1 ]
Heberl, Michael [1 ]
Gaderer, Matthias [2 ]
Sterner, Michael [1 ]
机构
[1] Tech Univ Appl Sci OTH Regensburg, Res Ctr Energy Transmiss & Storage FENES, Seybothstr 2, D-93053 Regensburg, Germany
[2] Tech Univ Munich, Chair Regenerat Energy Syst RES, Campus Straubing Biotechnol & Sustainabil, D-94315 Straubing, Germany
来源
PROCEEDINGS OF THE INTERNATIONAL RENEWABLE ENERGY STORAGE CONFERENCE, IRES 2022 | 2023年 / 16卷
关键词
Power-to-Gas; Methanation; Glass Melting; Glass Industry; Decarbonisation;
D O I
10.2991/978-94-6463-156-2_12
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The glass industry is facing increased challenges regarding climate protection targets and rising energy costs. The integration of renewable energy including conversion and storage is a key for both challenges in this energyintensive industrial sector, which has been mainly relying on fossil gas so far. The options considered to this point for reducing CO2 emissions and switching to a renewable energy supply involve far-reaching changes of the established melting processes. This entails significant risks in terms of influences on glass quality and stable production volumes. The presented approach for the integration of a Power-to-Methane (PtM) system into the glass industry is a completely new concept and has not been considered in detail before. It allows the use of established oxyfuel melting processes, the integration of fluctuating renewable energy sources and a simultaneous reduction of CO2 emissions by more than 78%. At the same time, natural gas purchases become obsolete. A techno-economic evaluation of the complete PtM process shows, that 1,76 e/m(3) or 1,26 e/kg synthetic natural gas are possible with renewable energy supply. Using electricity from the energy grid would require electricity prices < 0,126 e/kWh to allow cost competitive PtM processes in the glass industry. Such electricity prices could be achieved by electricity market-based optimization and operation of the PtM system. This operation strategy would require AI-based algorithms predicting availabilities and prices on future-based markets.
引用
收藏
页码:147 / 161
页数:15
相关论文
共 19 条
  • [1] Ausfelder F., 2018, Flexibilitatsoptionen in der Grundstoffindustrie: Methodik, Potentiale, Hemmnisse. Flexibilitatsoptionen und Perspektiven in der Grundstoffindustrie im KopernikusProjekt SynErgie
  • [2] Bader A., 2011, P 8 MOD C DRESD GERM
  • [3] Bayerisches Staatsministerium fur Wirtschaft, 2022, EN ATL BAYERN
  • [4] Deutsche Emissionshandelsstelle (DEHSt), 2022, DTSCH EM DEHST UMW T
  • [5] DeutscherWetterdienst (DWD), 2017, PROJ ORTSG TESTR DTS
  • [6] European Energy ExchangeAG, 2022, SPOTM UMW
  • [7] Furszyfer Del Rio D. D., 2022, RENEWABLE SUSTAINABL, V115
  • [8] Gartner S., 2022, REV APPL ENERGY
  • [9] Gartner S., 2021, ENERGIES, P24
  • [10] Icha P., 2020, UMWELTBUNDESAMT UBA