Abstract

Price-based demand response (PBDR) has recently been attributed great economic but also environmental potential. However, the determination of its short-term effects on carbon emissions requires the knowledge of marginal emission factors (MEFs), which compared to grid mix emission factors (XEFs), are cumbersome to calculate due to the complex characteristics of national electricity markets. This study, therefore, proposes two merit order-based methods to approximate hourly MEFs and applies them to readily available datasets from 20 European countries for the years 2017–2019. Based on the calculated electricity prices, standardized daily load shifts were simulated which indicated that carbon emissions increased for 8 of the 20 countries and by 2.1% on average. Thus, under specific circumstances, PBDR leads to carbon emissions increases, mainly due to the economic advantage fuel sources such as lignite and coal have in the merit order. MEF-based load shifts reduced the mean resulting carbon emissions by 35%, albeit with 56% lower monetary cost savings compared to price-based load shifts. Finally, by repeating the load shift simulations for different carbon price levels, the impact of the carbon price on the resulting carbon emissions was analyzed. The Spearman correlation coefficient between carbon intensity and marginal cost along the German merit order substantially increased with increasing carbon price. The coefficients were -0.13 for the 2019 carbon price of 24.9€/t, 0 for 42.6€/t, and 0.4 for 100.0€/t. Therefore, with adequate carbon prices, PBDR can be an effective tool for both economical and environmental improvement.

Highlights

  • IntroductionDue to the characteristics of the electricity market, available approaches used for carbon emissions accounting lead to misleading results when applied in the context of demand response (DR)

  • marginal emission factors (MEFs)-based load shifts reduced the mean resulting carbon emissions by 35%, albeit with 56% lower monetary cost savings compared to pricebased load shifts

  • To overcome the barriers arising from the heterogeneous data quality, we propose a piecewise linear (PWL) method to approximate hourly MEFs based on the technology mix

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Summary

Introduction

Due to the characteristics of the electricity market, available approaches used for carbon emissions accounting lead to misleading results when applied in the context of demand response (DR) They overestimate the environmental potential of PBDR by ignoring the nature of the electricity markets and their special phenomenon called the merit order dilemma of emissions. The integration of additional vRES requires an increase in the operational flexibility of the electricity grids to compensate for the increasing fluctuation of the residual load, which defines the total load minus the production from vRES Operational flexibility in this context means that it is not based on structural changes in the electricity system such as power station commissioning/decommissioning or fuel price changes [2]. PBDR can be combined with incentive-based DR as demonstrated in [9]

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