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HEC-Ecole de gestion de l'Université de Liège
HEC-Ecole de gestion de l'Université de Liège
MASTER THESIS

Evaluating Cost and Risk Trade-Offs in Electricity Retail Contracts for Residential Consumers

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Bodart, Noam ULiège
Promotor(s) : Gautier, Axel ULiège
Date of defense : 20-Jun-2025/24-Jun-2025 • Permalink : http://hdl.handle.net/2268.2/23771
Details
Title : Evaluating Cost and Risk Trade-Offs in Electricity Retail Contracts for Residential Consumers
Translated title : [fr] Évaluation des Arbitrages entre Coût et Risque dans les Contrats de Fourniture d’Électricité pour les Consommateurs Résidentiels
Author : Bodart, Noam ULiège
Date of defense  : 20-Jun-2025/24-Jun-2025
Advisor(s) : Gautier, Axel ULiège
Committee's member(s) : Ernst, Damien ULiège
Language : English
Number of pages : 154
Keywords : [en] Electricity
[en] Solar panels
[en] Batteries
[en] Energy pricing volatility
[en] Distributed energy resources (DERs)
[en] Energy contract optimization
[en] Residential consumer profiles
[en] Tariff granularity
[en] Scenario-based simulation
Discipline(s) : Business & economic sciences > Finance
Business & economic sciences > Special economic topics (health, labor, transportation...)
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master en sciences de gestion, à finalité spécialisée en Banking and Asset Management
Faculty: Master thesis of the HEC-Ecole de gestion de l'Université de Liège

Abstract

[en] This thesis undertakes a rigorous evaluation of residential electricity contract structures, examining the trade-offs between economic efficiency and exposure to market-induced cost volatility in the context of a liberalized energy market. Employing a high-resolution simulation framework, the study analyses eleven real-world Belgian electricity contracts alongside a controlled extension comprising fictive contracts of identical pricing logic but varying temporal granularity. The analysis is applied across seven representative household profiles, differentiated by technological configurations—including photovoltaic systems, battery storage, heat pumps, and electric vehicles—and subjected to four distinct market scenarios: Normal, Stable, Extreme, and Crisis.

The empirical findings demonstrate that no single tariff structure dominates across all contexts. Rather, contract performance is intrinsically profile-contingent. Fixed tariffs offer complete price stability but entail systematically higher expenditures, particularly disadvantaging passive consumers. Hybrid and variable tariffs, notably Groene Burgerstroom and Goedkope Stroom, perform optimally under stable conditions, particularly for prosumer households. By contrast, fully dynamic contracts—such as Engie Dynamic—prove advantageous only under volatile market conditions and for technologically equipped households capable of capitalizing on price arbitrage opportunities.

The fictive contract extension isolates the effect of tariff granularity, revealing that increasing temporal resolution (from fixed to dynamic pricing) invariably heightens cost volatility without yielding commensurate savings in the absence of demand-side flexibility. These results underscore the conditional efficiency of granular pricing structures and the critical role of household adaptability.

Methodologically, the study contributes a scalable, modular simulation tool capable of integrating granular consumption profiles, contract architectures, and market dynamics. The broader implication is clear: electricity contract evaluation must transcend static cost comparisons to incorporate volatility metrics, technological readiness, and behavioral elasticity. The findings hold significant relevance for both consumers and policymakers in designing equitable, resilient, and economically rational electricity contracting frameworks.

Author

  • Bodart, Noam ULiège Université de Liège > Master sc. gest., fin. spéc. banking & asset man.

Promotor(s)

Committee's member(s)

  • Ernst, Damien ULiège Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids
    ORBi View his publications on ORBi








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