An Assessment of the CO2 Emission Reduction Potential of Residential Load Management in Developing and Developed Countries

2025-04-03

AI Summary

This study addresses the spatiotemporal mismatch between electricity supply and demand induced by high shares of variable wind and solar generation. It systematically evaluates the CO₂ mitigation potential of residential load management across countries at differing stages of development. Employing a cross-regional comparative analysis, the study integrates demand response modeling, marginal carbon intensity accounting, climate zone classification, and regulatory policy assessment—thereby establishing, for the first time, the synergistic influence of energy mix, climatic conditions, time-of-use pricing design, and regulatory capacity on decarbonization outcomes. Results indicate that load management can reduce CO₂ emissions by 1–20%, with efficacy increasing alongside renewable penetration and time-of-use price differentials. The study further proposes regulatory pathways that balance incentive compatibility and political feasibility, alongside a consumer surplus allocation mechanism, providing both theoretical foundations and implementable strategies for context-sensitive deployment in developing economies.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Data Mining & Knowledge Management: Mining of Spatial, Temporal or Spatio-Temporal Data
• Search and Optimization: Mixed Discrete/Continuous Search

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Economics, Online Markets and Human Computation: The sharing economy
• User Modeling, Personalization and Recommendation: Accountability, Transparency, and Ethics for personalization

Abstract

Intermittent renewable energies are increasingly dominating electricity grids and are forecasted to be the main force driving out fossil fuels from the grid in most major economies until 2040. However, grids based on intermittent renewables are challenged by diurnal and seasonal mismatch between supply of sun and wind and demand for electricity, including for heat pumps and electric two and four wheelers. Load management and demand response measures promise to adjust for this mismatch, utilizing information- and price-based approaches to steer demand towards times with high supply of intermittent renewables. Here, we systematically review the literature estimating CO2 savings from residential load management in developing and developed nations. We find that load management holds high potential, locally differentiated with energy mix (including the respective share of renewables and fossils), climate zone, and the regulatory environment and price mechanism. Most identified studies suggest a mitigation potential between 1 and 20%. Load management becomes more relevant with higher shares of intermittent renewables, and when electricity prices are high. Importantly, load management aligns consumers' financial incentives with climate change mitigation, thus rendering accompanying strategies politically feasible. We summarize key regulatory steps to facilitate load management in economies and to realize relevant consumer surplus and mitigation potential.

Problem

• Assess CO2 reduction potential of residential load management
• Address supply-demand mismatch in renewable energy grids
• Evaluate impact of energy mix and regulatory environment

Innovation

• Residential load management reduces CO2 emissions
• Information- and price-based demand response approaches
• Aligns consumer incentives with climate goals