Table 1 Comparison of papers studying storage with cost-minimization models

From: The value of long-duration energy storage under various grid conditions in a zero-emissions future

 

Sisternes et al.23

Guerra et al. 26

Dowling et al.24

Sepulveda et al.25

This paper

Highlights of study

Storage modelling with unit commitment and capacity expansion

Seasonal storage with transmission constraints modelling

Impact of LDES in a solar, wind and batteries grid, with multi-year optimization

Impact of LDES with thousands of cost and performance scenarios and firm generation

Impact of various generation mixes, transmission deployments, and energy capacity storage mandates on LDES

Time period modelled

2035

2024–2050

1980–2018

2045

2050

Storage technologies modelled

Li-ion, PHS

H2, PHS, CAES

Li-ion, H2, PHS, CAES

Technology-agnostic LDES

Technology-agnostic LDES, existing batteries and PHSa

Model optimized storage duration

2 h or 10 h only

1 d, 2 d, 1 w, 2 w, 1 m only

Model optimized storage power capacity

Exogenously added ≤ 30 GW of storage

Exogenously added 2 GW of storage

Modelled firm low- or no-carbon technologies

Nuclear

Nuclear, biomass, hydro, geothermal

Nuclear, natural gas + CCS, blue H2

Pre-existing nuclear, biomass, geothermal, hydro

Modelled unit commitment

Transmission lines modelled

0

77

0

0

126

Balancing regions modelled

1

ERCOT

35

WECC

1

Contiguous USb

1

Texas or New Englandc

50

WECC

Co-optimized capacity expansion and dispatch

LDES modelled after capacity expansion

Modelled existing generation capacity

Greenfield

Greenfield

Greenfield

Accounted for changing demand patterns due to electrification

Scaled demand by 1.86% annually

Scaled demand using regional growth factors

Used historical loads to model 1980–2018

Scaled demand by 1% annually. High-electrification scenarios used an adjusted load profile

Scaled demand accounting for increased energy efficiency, building electrification and zero emission vehicles

Zero-emissions study

~60–90% emission reductions

80% renewable portfolio standard

Hourly temporal resolution

~d

≥ 1 year storage balancing horizon

1 week

1 year

Up to 6 years

1 year

1 year

  1. PHS pumped storage hydropower, CAES compressed air energy storage, LDES long-duration energy storage.
  2. aSee limitation section for limitations on pre-existing PHS modelling.
  3. bSensitivity analyses considered additional regions (ERCOT, WECC, and the Eastern Interconnect).
  4. cThe authors mention that New England and Texas are not modelled “with realism.” Rather, these regions represent a Northern-like and Southern-like grid.
  5. d4 h resolution for all runs except for one sensitivity run with hourly resolution.