References of "Ernst, Damien"
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See detailRound Table No 3. Industrial Solutions for Active Network Management
Ernst, Damien ULiege

Speech/Talk (2019)

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See detailHarnessing the flexibility of energy management systems: a retailer perspective
Mathieu, Sébastien ULiege; Manuel de Villena Millan, Miguel ULiege; Vermeulen, Eric et al

in Proceedings PowerTech 2019 (2019, June)

The business of electricity retailing is changing following the current evolution of the electricity system. An example of such an evolution is the increasing number of clients installing sophisticated ... [more ▼]

The business of electricity retailing is changing following the current evolution of the electricity system. An example of such an evolution is the increasing number of clients installing sophisticated energy management systems controlling the production or consumption of a large variety of devices as, for instance, photovoltaic panels with storage solutions. These systems, if managed properly, may provide flexibility to the electricity system to which they are connected, typically by means of an intermediary such as a retailer. Retailers could transfer such flexibility in consumption/production of electricity to the day-ahead and intraday electricity markets, trade it with other balance responsible parties, or use it to participate in the imbalance market. This paper defines an interaction model between a retailer and its clients, based on generic flexibility bids over multiple market periods. The defined interaction model relies on smart meters for registering the trades of electricity and requires no modification of the current rules and regulations of the European electricity system. The concept of flexibility is defined with respect to a baseline, which is negotiated and agreed upon between the retailer and each client. This baseline can be modified by the client following an update mechanism, which must comply with certain security checks by the retailer in order to make sure it is not fraudulent. Any deviations from the quarter-hourly comparison between expected and actual production/consumption are invoiced at a discounted price. [less ▲]

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See detailComplementarity Assessment of South Greenland Katabatic Flows and West Europe Wind Regimes
Radu, David-Constantin ULiege; Berger, Mathias ULiege; Fonteneau, Raphaël ULiege et al

in Energy (2019), 175

Current global environmental challenges require vigorous and diverse actions in the energy sector. One solution that has recently attracted interest consists in harnessing high-quality variable renewable ... [more ▼]

Current global environmental challenges require vigorous and diverse actions in the energy sector. One solution that has recently attracted interest consists in harnessing high-quality variable renewable energy resources in remote locations, while using transmission links to transport the power to end users. In this context, a comparison of western European and Greenland wind regimes is proposed. By leveraging a regional atmospheric model specifically designed to accurately capture polar phenomena, local climatic features of southern Greenland are identified to be particularly conducive to extensive renewable electricity generation from wind. A methodology to assess how connecting remote locations to major demand centres would benefit the latter from a resource availability standpoint is introduced and applied to the aforementioned Europe-Greenland case study, showing superior and complementary wind generation potential in the considered region of Greenland with respect to selected European sites. [less ▲]

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See detailEléments pour une vision techno-optimiste de l’écologie
Ernst, Damien ULiege

Conference given outside the academic context (2019)

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See detailOn overfitting and asymptotic bias in batch reinforcement learning with partial observability
François-Lavet, Vincent; Rabusseau, Guillaume; Pineau, Joëlle et al

in Journal of Artificial Intelligence Research (2019), 65

This paper provides an analysis of the tradeoff between asymptotic bias (suboptimality with unlimited data) and overfitting (additional suboptimality due to limited data) in the context of reinforcement ... [more ▼]

This paper provides an analysis of the tradeoff between asymptotic bias (suboptimality with unlimited data) and overfitting (additional suboptimality due to limited data) in the context of reinforcement learning with partial observability. Our theoretical analysis formally characterizes that while potentially increasing the asymptotic bias, a smaller state representation decreases the risk of overfitting. This analysis relies on expressing the quality of a state representation by bounding L1 error terms of the associated belief states. Theoretical results are empirically illustrated when the state representation is a truncated history of observations, both on synthetic POMDPs and on a large-scale POMDP in the context of smartgrids, with real-world data. Finally, similarly to known results in the fully observable setting, we also briefly discuss and empirically illustrate how using function approximators and adapting the discount factor may enhance the tradeoff between asymptotic bias and overfitting in the partially observable context. [less ▲]

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See detailSortir du pessimisme écologique. Réponse aux 400 ingénieurs
de Salle, Corentin; Ernst, Damien ULiege

Article for general public (2019)

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See detailThe Role of Power-to-Gas and Carbon Capture Technologies in Cross-Sector Decarbonisation Strategies
Berger, Mathias ULiege; Radu, David-Constantin ULiege; Fonteneau, Raphaël ULiege et al

E-print/Working paper (2019)

This paper proposes an optimisation-based framework to tackle long-term centralised planning problems of multi-sector, integrated energy systems including electricity, hydrogen, natural gas, synthetic ... [more ▼]

This paper proposes an optimisation-based framework to tackle long-term centralised planning problems of multi-sector, integrated energy systems including electricity, hydrogen, natural gas, synthetic methane and carbon dioxide. The model selects and sizes the set of power generation, energy conversion and storage as well as carbon capture technologies minimising the cost of supplying energy demand in the form of electricity, hydrogen, natural gas or synthetic methane across the power, heating, transportation and industry sectors whilst accounting for policy drivers, such as energy independence, carbon emissions reductions targets, or support schemes. The usefulness of the model is illustrated in a case study evaluating the potential of sector coupling via power-to-gas and carbon capture technologies to achieve deep decarbonisation targets in the Belgian context. Results, on the one hand, indicate that power-to-gas can only play a minor supporting role in cross-sector decarbonisation strategies in Belgium, as electrolysis plants are generally deployed in moderate quantities whilst methanation plants do not appear in any studied scenario. On the other hand, given the limited renewable potential, post-combustion and direct air carbon capture technologies clearly play an enabling role in any decarbonisation strategy. [less ▲]

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See detailL’écologie authentique, stade avancé de la civilisation technologique
de Salle, Corentin; Ernst, Damien ULiege

Article for general public (2019)

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See detailDamien Ernst: "La technologie sauvera la planète"
Wolff, Geoffrey; Ernst, Damien ULiege

Article for general public (2019)

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See detailAuthentic ecology as an advanced stage of technological civilization
de Salle, Corentin; Ernst, Damien ULiege

E-print/Working paper (2019)

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See detailBlockchain: A novel approach for the consensus algorithm using Condorcet Voting procedure
Vangulick, David ULiege; Cornélusse, Bertrand ULiege; Ernst, Damien ULiege

in Proceedings of the IEEE International Conference on Decentralized Applications and Infrastructures (2019, April)

The blockchain technology allows interested parties to access a common register, the update, and integrity of which are collectively managed in a decentralized manner by a network of actors. It is the ... [more ▼]

The blockchain technology allows interested parties to access a common register, the update, and integrity of which are collectively managed in a decentralized manner by a network of actors. It is the consensus protocol that ensures a common and unambiguous update of transactions by creating blocks of transactions for which integrity, veracity, and consistency are guaranteed through geographically distributed nodes. Bitcoin, the first popular blockchain concept, introduced the Proof of Work consensus based on work validation, and has been extended to thousands of participants. Despite its success and its large use in other crypto-currencies, Proof of Work’s disadvantages are a high latency, a low transaction rate, and a high energy expenditure, making it a less-than-perfect choice for many applications. In addition the validation of transactions is not carried out with a definite temporality. For Bitcoin, it takes on average 10 minutes to create a block. However, for certain use cases such as auctions or the exchange of energy, there is a need for this temporality. The purpose of this article is to propose a new type of consensus that is faster, less energy-consuming and that can be synchronized with a time reference. The core of the reflection is the use of the Condorcet voting mechanism to determine the miner. [less ▲]

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See detailEvaluating the Evolution of Distribution Networks under Different Regulatory Frameworks with Multi-Agent Modelling
Manuel de Villena Millan, Miguel ULiege; Fonteneau, Raphaël ULiege; Gautier, Axel ULiege et al

in Energies (2019)

In the context of increasing decentralised electricity generation, this paper evaluates the effect of different regulatory frameworks on the evolution of distribution networks. This problem is addressed ... [more ▼]

In the context of increasing decentralised electricity generation, this paper evaluates the effect of different regulatory frameworks on the evolution of distribution networks. This problem is addressed by means of agent based modelling in which the interactions between the agents of a distribution network, and an environment are described. The consumers and the distribution system operator are the agents, which act in an environment that is composed by a set of rules. For a given environment, we can simulate the evolution of the distribution network by computing the actions of the agents at every time step of a discrete time dynamical system. We assume the electricity consumers are rational agents that may deploy distributed energy installations. The deployment of such installations may alter the remuneration mechanism of the distribution system operator. By modelling this mechanism, we may compute the evolution of the electricity distribution tariff in response to the deployment of distributed generation. [less ▲]

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See detailTariff simulator
Manuel de Villena Millan, Miguel ULiege; Fonteneau, Raphaël ULiege; Ernst, Damien ULiege

Speech/Talk (2019)

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See detailDécret favorisant le développement des communautés d’énergie renouvelable
Ernst, Damien ULiege

Speech/Talk (2019)

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See detailVoiture électrique : 697.612 km pour devenir verte ! Vrai ou faux ?
Ernst, Damien ULiege

E-print/Working paper (2019)

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See detailElectric car: 697,612 km to become green! True or false?
Ernst, Damien ULiege

E-print/Working paper (2019)

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See detailEnergiespecialist Damien Ernst: 'We hoeven helemaal niet minder energie te verbruiken'
Renard, Han; Ernst, Damien ULiege

Article for general public (2019)

Detailed reference viewed: 155 (3 ULiège)