Semantic Scholar Open Access 2017 1669 sitasi

Future cost and performance of water electrolysis: An expert elicitation study

Oliver Schmidt A. Gambhir I. Staffell A. Hawkes J. Nelson +1 lainnya

Abstrak

Abstract The need for energy storage to balance intermittent and inflexible electricity supply with demand is driving interest in conversion of renewable electricity via electrolysis into a storable gas. But, high capital cost and uncertainty regarding future cost and performance improvements are barriers to investment in water electrolysis. Expert elicitations can support decision-making when data are sparse and their future development uncertain. Therefore, this study presents expert views on future capital cost, lifetime and efficiency for three electrolysis technologies: alkaline (AEC), proton exchange membrane (PEMEC) and solid oxide electrolysis cell (SOEC). Experts estimate that increased R&D funding can reduce capital costs by 0–24%, while production scale-up alone has an impact of 17–30%. System lifetimes may converge at around 60,000–90,000 h and efficiency improvements will be negligible. In addition to innovations on the cell-level, experts highlight improved production methods to automate manufacturing and produce higher quality components. Research into SOECs with lower electrode polarisation resistance or zero-gap AECs could undermine the projected dominance of PEMEC systems. This study thereby reduces barriers to investment in water electrolysis and shows how expert elicitations can help guide near-term investment, policy and research efforts to support the development of electrolysis for low-carbon energy systems.

Penulis (6)

O

Oliver Schmidt

A

A. Gambhir

I

I. Staffell

A

A. Hawkes

J

J. Nelson

S

S. Few

Format Sitasi

Schmidt, O., Gambhir, A., Staffell, I., Hawkes, A., Nelson, J., Few, S. (2017). Future cost and performance of water electrolysis: An expert elicitation study. https://doi.org/10.1016/J.IJHYDENE.2017.10.045

Akses Cepat

Informasi Jurnal
Tahun Terbit
2017
Bahasa
en
Total Sitasi
1669×
Sumber Database
Semantic Scholar
DOI
10.1016/J.IJHYDENE.2017.10.045
Akses
Open Access ✓