Information Asymmetry in Carbon Markets: a Case Study of NILM Technology in Ethiopia

Abstract

This thesis examines whether Non-Intrusive Load Monitoring (NILM), integrated into smart meter infrastructure, constitutes a viable value innovation for digital Monitoring, Reporting, and Verification (dMRV) in clean cooking carbon finance. The work is commissioned by InsightAfrica Oy, a Finnish company seeking to position itself as a dMRV-as-a-Service provider in the African clean cooking carbon market.

The research strategy is a constructive case study. Data collection is structured through the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, involving a systematic review of 100 authoritative documents spanning five chronological eras of cookstove MRV evolution. The analytical approach is Deductive Qualitative Analysis (DQA), in which two theoretically grounded propositions are tested against the collected evidence. The theoretical framework draws on Information Asymmetry theory, covering Akerlof's adverse selection model, moral hazard, and Spence's signaling theory, to diagnose the structural market failure in legacy carbon markets, and on Blue Ocean Strategy to evaluate whether NILM-integrated dMRV resolves that failure through genuine value innovation.

The legacy CDM (Clean Development Mechanism) methodology AMS-II.G (Applicable Methodologies for Small-scale CDM, category II – Energy Efficiency Improvement, specific methodology G - Energy efficiency measures in thermal applications of non-renewable biomass) is found to have systematically over-credited emission reductions by an average factor of 9.2, driven by inflated fraction of non-renewable biomass (fNRB) default values and the structural invisibility of stove stacking in periodic manual surveys. NILM is found to address all three root causes as it enables session-level fNRB attribution from appliance load fingerprints, detects electric-to-electric concurrent appliance use automatically without additional hardware, and identifies appliance degradation through anomalous load signatures. The Blue Ocean Strategy Canvas analysis confirms that NILM-integrated dMRV simultaneously raises measurement quality and reduces per-credit verification cost, constituting value innovation that breaks the trade-off constraining all prior approaches. The analysis further demonstrates that NILM satisfies every MRV data requirement imposed by ICVCM Core Carbon Principles and UNFCCC Paris Agreement Article 6.4, including continuous monitoring, project-specific fNRB calculation, non-biased data lineage, and stacking documentation. Ethiopia is used as the primary case context, with findings presented as replicable across grid-connected urban and peri-urban contexts in Sub-Saharan Africa.