I.J. Sanchez Jimenez
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This research was conducted within the scope of the Horizon 2020 TradeRES Project - (grant agreement No 864276). [1] The objective of this project was to test innovative electricity market designs that meet society’s needs with a (near) 100% renewable power system. Such market designs should provide efficient incentives for both system operation and long-term investment, with this research focusing primarily on the latter. The project was designed to employ agent-based modeling, as this approach enables the simulation of imperfect markets in which actors operate without perfect information, foresight, or coordination. Agent-based models are particularly well-suited to capture long-term dynamics, allowing agents to adapt their strategies over time in response to evolving market conditions.... ...
This research was conducted within the scope of the Horizon 2020 TradeRES Project - (grant agreement No 864276). [1] The objective of this project was to test innovative electricity market designs that meet society’s needs with a (near) 100% renewable power system. Such market designs should provide efficient incentives for both system operation and long-term investment, with this research focusing primarily on the latter. The project was designed to employ agent-based modeling, as this approach enables the simulation of imperfect markets in which actors operate without perfect information, foresight, or coordination. Agent-based models are particularly well-suited to capture long-term dynamics, allowing agents to adapt their strategies over time in response to evolving market conditions....
Motivated by generation system adequacy concerns, many European countries have introduced capacity remuneration mechanisms (CRMs) to ensure sufficient investments in power generation. However, it is uncertain whether the existing CRMs will promote sufficient adequacy and flexibility in a decarbonized power system, where supply and demand will become more weather-dependent. We assess the effectiveness of a centralized capacity market, a strategic reserve, and a decentralized capacity market via capacity subscriptions in a climate-neutral, weather-driven power system. We develop a co-simulation of two agent-based models simulating myopia in both operational and investment decisions. We simulate weather uncertainty by running the model with 40 different weather years. Our results from a case study based on the Netherlands indicate that a strategic reserve may increase electricity price volatility in the long-term. A centralized capacity market is more cost-effective than a strategic reserve, but administratively setting its parameters is prone to over- or underprocurement. Capacity subscription allows consumers to select their desired level of reliability. Results indicate that these decentralized capacity markets may yield a clearer signal for the needed dispatchable capacity and promote demand-side response, but it may be challenging to provide long-term certainty for investors.
Can an energy only market enable resource adequacy in a decarbonized power system?
A co-simulation with two agent-based-models
Innovative Electricity Market Designs to Support a Transition to (Near) 100% Renewable Power System
First Results from H2020 TradeRES Project
Developing innovative electricity market designs to facilitate a sustainable transition to (near) 100% renewable power systems while meeting societal needs is a crucial and actual topic of research. This article presents preliminary key findings from the H2020 European project TradeRES, addressing this critical topic. The project uses agent-based and optimization models to effectively capture the behaviour of different market players, and to analyse the current and future power system energy mixes of selected European case studies with different physical and spatial scales from: i) local energy communities and local energy markets (LEMs); ii) national/regional - the Netherlands, Germany, and Iberia (Portugal and Spain); and iii) pan-European energy markets. The first results on LEMs indicate a substantial economic benefit for participants and enhanced revenue streams for distributed energy resources, able to i) incentivise further decentralised investments; ii) promote the growth of variable renewable energy systems (vRES) and iii) increase flexibility at the local level. The outcomes are sensitive to the tariffs’ structure, while the retail sector competitiveness was identified as a critical parameter affecting its efficiency. For the pan-European and national/regional case studies, the first set of simulations had consistent outcomes, namely, by pointing out current design of energy-only markets to be insufficient to incentivize the high levels of vRES foreseen in Europe. Different support schemes (e.g., fixed market premia, contract for differences) were tested and results suggest they may play a relevant role in effectively covering the cost of vRES in a market environment.