An uncertainty and sensitivity analysis of Power-to-Hydrogen as a seasonal storage option in a district multi-energy system

被引：3

作者：

Petkov, Ivalin ^{[1
]}

Gabrielli, Paolo ^{[2
]}

机构：

[1] Swiss Fed Inst Technol, Grp Sustainabil & Technol, D MTEC, Weinbergstr 56-58, CH-8092 Zurich, Switzerland

[2] Swiss Fed Inst Technol, D MAVT, Inst Proc Engn, Sonneggstr 3, CH-8092 Zurich, Switzerland

来源：

CLIMATE RESILIENT CITIES - ENERGY EFFICIENCY & RENEWABLES IN THE DIGITAL ERA (CISBAT 2019) | 2019年 / 1343卷

关键词：

Power-to-Hydrogen; Seasonal storage; Multi-energy systems; Investment planning; Renewable energy sources; Storage technologies; ENERGY; REANALYSIS; DESIGN; WIND;

D O I：

10.1088/1742-6596/1343/1/012103

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Seasonal energy storage plays a key role in low-carbon multi-energy systems (MES) by storing renewable generation in times of excess supply in order to meet energy demands months in the future. Power-to-Hydrogen (PtH2) is being investigated as a promising long-term storage solution for integrated MES. In this preliminary work we investigate under which conditions does PtH2 become a seasonal storage option in district MES through an optimization framework including an uncertainty and sensitivity analysis to evaluate the effect of technological and contextual uncertainty on PtH2 execution. PtH2 becomes vital in low-carbon, renewable-heavy, MES for meeting high thermal demands in winter.

引用

页数：7

共 16 条

[1] A review and probabilistic model of lifecycle costs of stationary batteries in multiple applications [J].

Battke, Benedikt ;

Schmidt, Tobias S. ;

Grosspietsch, David ;

Hoffmann, Volker H. .

RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2013, 25 :240-250

[2] Robust and optimal design of multi-energy systems with seasonal storage through uncertainty analysis [J].

Gabrielli, Paolo ;

Furer, Florian ;

Mavromatidis, Georgios ;

Mazzotti, Marco .

APPLIED ENERGY, 2019, 238 :1192-1210

[3] Optimal design of multi-energy systems with seasonal storage [J].

Gabrielli, Paolo ;

Gazzani, Matteo ;

Martelli, Emanuele ;

Mazzotti, Marco .

APPLIED ENERGY, 2018, 219 :408-424

[4]

Glenk G, 2019, NATURE ENERGY, V7

[5] How, When, and Where? Assessing Renewable Energy Self Sufficiency at the Neighborhood Level [J].

Grosspietsch, David ;

Thommes, Philippe ;

Girod, Bastien ;

Hoffmann, Volker H. .

ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2018, 52 (04) :2339-2348

[6] 100% clean and renewable Wind, Water, and Sunlight (WWS) all-sector energy roadmaps for 53 towns and cities in North America [J].

Jacobson, Mark Z. ;

Cameron, Mary A. ;

Hennessy, Eleanor M. ;

Petkov, Ivalin ;

Meyer, Clayton B. ;

Gambhira, Tanvi K. ;

Maki, Amanda T. ;

Pfleeger, Katherine ;

Clonts, Hailey ;

McEvoy, Avery L. ;

Miccioli, Matthew L. ;

von Krauland, Anna-Katharina ;

Fang, Rebecca W. ;

Delucchi, Mark A. .

SUSTAINABLE CITIES AND SOCIETY, 2018, 42 :22-37

[7] MES (multi-energy systems): An overview of concepts and evaluation models [J].

Mancarella, Pierluigi .

ENERGY, 2014, 65 :1-17

[8]

Mavromatidis G., 2017, THESIS

[9] Design of distributed energy systems under uncertainty: A two-stage stochastic programming approach [J].

Mavromatidis, Georgios ;

Orehounig, Kristina ;

Carmeliet, Jan .

APPLIED ENERGY, 2018, 222 :932-950

[10] Uncertainty and global sensitivity analysis for the optimal design of distributed energy systems [J].

Mavromatidis, Georgios ;

Orehounig, Kristina ;

Carmeliet, Jan .

APPLIED ENERGY, 2018, 214 :219-238

← 1 2 →