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Costs of demand-side solutions for decision-making

Journal Article

16 September 2026

City skyline at night with demand-side change message overlay.
Image by Vitalijs Barilo via Unsplash

Abstract

Predominant global assessments indicate that demand-side solutions could reduce GHG emissions by 40%–70% by 2050, but little is known about the costs of implementing them at scale. This is a critical knowledge gap: cost is a key factor in policy and investment decisions. Demand-side solutions are becoming increasingly crucial amid rising global energy prices, but in the absence of comparable cost metrics, they are rarely evaluated alongside supply-side resources. This paper addresses this gap by presenting a method for evaluating the costs of demand-side solutions. It includes a set of energy-service-specific metrics across the building, transportation, food, and industrial sectors, along with quantitative estimates and comparisons with supply-side solutions. Using a consistent framework, we analyzed case studies implemented across various global regions and estimated their potential for energy reductions along with associated costs and CO2 emissions mitigation. Compared with baselines, we find that adopters of alternative demand-side solutions can achieve the same energy-service level while realizing lifetime cost savings of up to 94% with certain solutions. The building sector’s potential savings in energy use, emissions, and costs range from 10% to 94%; the industry sector can reach 60% at the plant level, depending on plant sizes and measures. We also observed potential emission savings, but with cost increases in the transportation and food sectors, both of which are highly context dependent. Compared with the benchmark costs of supply-side solutions, almost 98% of the selected demand-side solutions in this study are cheaper than the 2022 wholesale peak electricity price in Europe, making them valuable resilience hedges and no-regret options. A comprehensive evaluation of potential costs and savings for demand-side energy solutions, along with a comparison with supply-side options, helps bridge the knowledge gap for informed decision-making and supports climate action among policymakers, businesses, and consumers.

Summary

Demand-side energy solutions—like better insulation, efficient appliances, or smarter industrial processes—have been harder to compare against supply-side options like solar and wind because we haven’t had good cost data for them. This paper aims to bridge this major gap in mitigation literature with a new paper aimed at decision makers.

The researchers built and validated a standardized method (checked by over 150 international experts) for comparing the costs of demand-side measures against supply-side alternatives, across buildings, transportation, food, and industry. Data came from all regions and sectors worldwide, but due to the need for a uniform data set to estimate levelized cost of electricity, the final data set was reduced to 261 real intervention cases plus over 28,000 US industrial plant records.

From this standardized method, they found:

  • Adopting demand-side solutions can cut lifetime costs by up to 94% while still meeting the same energy needs
  • Building-sector savings range from 10-94%; industrial measures save up to 60% depending on plant size
  • Transportation and food-sector savings vary more depending on context
  • 53-98% of demand-side solutions cost less than supply-side benchmarks
  • Most demand-side solutions have negative or near-zero cost per ton of CO2 avoided, compared to $20-200/ton for typical supply-side options, so they can act as resilience hedges and no-regret climate options

The team spent special effort studying rebound effects with comparison between developed and developing countries. Except in some cases (which were affected by energy poverty), some of the energy saving was eroded by increased use, but the net impact was still positive.

The final emphasis of the paper is the need for Global South evidence around the potential to achieve these gains.

Authors

JoJoyashree Roy, Jingjing Zhang, Michelle Johnson-Wang, Eric Masanet, Shreya Some, Muhammad Huzaifa Butt, Hon Leung Curtis Wong, Leila Niamir, Luis Martinez, Souran Chatterjee, Benigna Boza-Kiss, Minghao Xu, Nan Zhou

Presented At/Published In

Joule

Country

Multi-Country

Tags

Demand responseEnergy transitionPower sector planningTrade-offs

Citation

Roy J, Zhang J, Johnson-Wang M, et al. Costs of demand-side solutions for decision-making. Joule. 2026;10(9):102668. doi:10.1016/j.joule.2026.102668

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