Multi-criteria assessments for identification of optimal low-carbon electricity generation mixes in net zero India

• Model developed for integrated low carbon electricity system in net zero India. • Electricity demand projections made at hourly resolution. • Statistically generated supply scenarios and estimated hourly excess power. • Defined multi-criteria index to identify optimal generation mix. • Recommendations provided for optimal mixes under various policy preferences. The expansion of electricity generation capacity in a nation targeting net zero emissions is a long-term planning exercise involving multiple considerations and tradeoffs. In this study, multi-criteria assessments of statistically generated supply side scenarios have been performed for the specific case of India in 2070, considering 6 low carbon power generation technologies. The objective is to identify (i) an optimal portfolio of generators to meet demand in 2070 and (ii) auxiliary systems like water electrolysers, hydrogen storage and battery electricity storage to serve as flexible loads for using surplus power without curtailment or modulation of generator output. Based on current techno-commercial parameters, optimal mixes for net zero India by 2070 are identified under different policy preferences. The electricity generation mixes with 2.27–11.39 % solar PV, 1.56–18.89 % wind power, 0.02–1.52 % hydel power, 0.04–0.90 % biomass-based power, 45.8–72 % fossil fuels with carbon capture and 22.5–24.6 % nuclear power are determined to be optimal, depending on priorities in different policies. Targeting a generation mix in this range enables an 87–93 % reduction in the carbon emissions intensity of the electricity sector from present levels.

Institutions

Publication Details

Journal
e-Prime - Advances in Electrical Engineering Electronics and Energy
Published
2025-07-18
DOI
https://doi.org/10.1016/j.prime.2025.101078
Citations
2
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
1.46
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-criteria assessments for identification of optimal low-carbon electricity generation mixes in net zero India

2 citations
e-Prime - Advances in Electrical Engineering Electronics and Energy
Integrated Energy Systems Optimization
1.46
article

Multi-criteria assessments for identification of optimal low-carbon electricity generation mixes in net zero India

article en
2 citations

Abstract

• Model developed for integrated low carbon electricity system in net zero India. • Electricity demand projections made at hourly resolution. • Statistically generated supply scenarios and estimated hourly excess power. • Defined multi-criteria index to identify optimal generation mix. • Recommendations provided for optimal mixes under various policy preferences. The expansion of electricity generation capacity in a nation targeting net zero emissions is a long-term planning exercise involving multiple considerations and tradeoffs. In this study, multi-criteria assessments of statistically generated supply side scenarios have been performed for the specific case of India in 2070, considering 6 low carbon power generation technologies. The objective is to identify (i) an optimal portfolio of generators to meet demand in 2070 and (ii) auxiliary systems like water electrolysers, hydrogen storage and battery electricity storage to serve as flexible loads for using surplus power without curtailment or modulation of generator output. Based on current techno-commercial parameters, optimal mixes for net zero India by 2070 are identified under different policy preferences. The electricity generation mixes with 2.27–11.39 % solar PV, 1.56–18.89 % wind power, 0.02–1.52 % hydel power, 0.04–0.90 % biomass-based power, 45.8–72 % fossil fuels with carbon capture and 22.5–24.6 % nuclear power are determined to be optimal, depending on priorities in different policies. Targeting a generation mix in this range enables an 87–93 % reduction in the carbon emissions intensity of the electricity sector from present levels.

e-Prime - Advances in Electrical Engineering Electronics and EnergyVol. 13
Homi Bhabha National Institute (IN), Bhabha Atomic Research Center Hospital (IN)
Openalex Percentile: Top 14%
Integrated Energy Systems Optimization
1.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Multi-criteria assessments for identification of optimal low-carbon electricity generation mixes in net zero India · e-Prime - Advances in Electrical Engineering Electronics and Energy (2025) | TGRS Research Map | TGRS