References of "Berger, Mathias"
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See detailThe Role of Hydrogen in the Dutch Electricity System
Berger, Mathias ULiege; Radu, David-Constantin ULiege; Ryszka, Karolina et al

Report (2020)

This technical report investigates the role power-to-gas, hydrogen and battery storage technologies may play in the Dutch electricity system using a recently published optimization-based energy system ... [more ▼]

This technical report investigates the role power-to-gas, hydrogen and battery storage technologies may play in the Dutch electricity system using a recently published optimization-based energy system model. [less ▲]

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See detailLearning optimal environments using projected stochastic gradient ascent
Bolland, Adrien ULiege; Boukas, Ioannis ULiege; Cornet, François ULiege et al

E-print/Working paper (2020)

In this work, we generalize the direct policy search algorithms to an algorithm we call Direct Environment Search with (projected stochastic) Gradient Ascent (DESGA). The latter can be used to jointly ... [more ▼]

In this work, we generalize the direct policy search algorithms to an algorithm we call Direct Environment Search with (projected stochastic) Gradient Ascent (DESGA). The latter can be used to jointly learn a reinforcement learning (RL) environment and a policy with maximal expected return over a joint hypothesis space of environments and policies. We illustrate the performance of DESGA on two benchmarks. First, we consider a parametrized space of Mass-Spring Damper (MSD) environments. Then, we use our algorithm for optimizing the size of the components and the operation of a small-scale and autonomous energy system, i.e. a solar off-grid microgrid, composed of photovoltaic panels, batteries, etc. The results highlight the excellent performances of the DESGA algorithm. [less ▲]

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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

in Electric Power Systems Research (2020), 180

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 dioxide emissions reduction targets, or support schemes. The usefulness of the model is illustrated by 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 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, but may also exacerbate the dependence on fossil fuels. [less ▲]

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See detailCritical Time Windows for Renewable Resource Complementarity Assessment
Berger, Mathias ULiege; Radu, David-Constantin ULiege; Fonteneau, Raphaël ULiege et al

in Energy (2020)

This paper proposes a framework to assess the complementarity between geographically dispersed variable renewable energy resources over arbitrary time scales. More precisely, the framework relies on the ... [more ▼]

This paper proposes a framework to assess the complementarity between geographically dispersed variable renewable energy resources over arbitrary time scales. More precisely, the framework relies on the concept of critical time windows, which offers an accurate, time-domain description of low-probability power production events impacting power system operation and planning. A scalar criticality indicator is also derived to quantify the spatiotemporal complementarity that renewable generation sites may exhibit, and it is leveraged to propose optimisation models seeking to identify deployment patterns with maximum complementarity. The usefulness of the framework is shown in a case study investigating the complementarity between wind regimes in continental western Europe and southern Greenland, using roughly 300 candidate locations and 10 years of reanalysis and simulated data with hourly resolution. Besides showing that the occurrence of low wind power production events can be reduced on a regional scale by exploiting diversity in local wind patterns, results highlight the fact that aggregating wind power production sites located on different continents may result in a lower occurrence of system-wide low wind power production events and point to potential bene ts of intercontinental electrical interconnections. [less ▲]

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See detailSiting Renewable Power Generation Assets with Combinatorial Optimization
Berger, Mathias ULiege; Radu, David-Constantin ULiege; Dubois, Antoine ULiege et al

E-print/Working paper (2020)

This paper studies the problem of siting renewable power generation assets using large amounts of climatological data. The problem is cast as a combinatorial optimisation problem seeking to maximise ... [more ▼]

This paper studies the problem of siting renewable power generation assets using large amounts of climatological data. The problem is cast as a combinatorial optimisation problem seeking to maximise spatiotemporal complementarity between sites while accounting for electrical load level and chronology. Model properties are closely analysed and a formal connection with the problem of maximising a submodular set function subject to a cardinality constraint is established. A custom solution method combining relaxation-based and local search algorithms is also proposed and benchmarked against state-of-the art methods using a realistic instance comprising tens of thousands of variables inspired by the problem of siting onshore wind power plants in Europe. Results show that for the present application, the proposed solution method is competitive with state-of-the-art methods both in terms of computing time and solution quality, as it reaches objective values at least as good as the proposed benchmarks on most instances studied and clearly outperforms them on a number of occasions. In addition, results highlight the importance of combining a relaxation-based method with a local search algorithm to produce high-quality solutions for this application. [less ▲]

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See detailAssessing the Economic Value of Renewable Resource Complementarity for Power Systems: an ENTSO-E Study
Radu, David-Constantin ULiege; Berger, Mathias ULiege; Dubois, Antoine ULiege et al

E-print/Working paper (2020)

Complementarity of variable renewable energy sources (RES) in both space and time has received a great deal of attention recently however, its value for power systems is still not properly understood ... [more ▼]

Complementarity of variable renewable energy sources (RES) in both space and time has received a great deal of attention recently however, its value for power systems is still not properly understood. This research gap is tackled in the current work by evaluating the benefits of siting RES assets according to resource complementarity criteria. For this purpose, a two-stage method is employed. First, the complementarity between RES is assessed and the locations sets that maximize it are selected using an integer programming model. Subsequently, the outcome of the first stage is used within an expansion planning framework which identifies the optimal system design and serves as basis for assessing the economic value of RES complementarity for power systems. The analysis is conducted on a realistic case study targeting the deployment of 450GW of offshore wind in Europe by 2050. Results show that siting based on RES complementarity is particularly attractive when the power density of wind developments is relatively high and when the inter-annual variability of the underlying resource is considered. More specifically, such a siting strategy leads to yearly savings between 0.3 and 1.2 billion EUR compared with conventional schemes seeking to deploy generation capacity at the most productive locations. [less ▲]

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See detailRemote Renewable Hubs for Synthetic Fuel Production
Berger, Mathias ULiege; Richel, Aurore ULiege; Ernst, Damien ULiege

E-print/Working paper (2020)

This paper proposes a framework to study the economics of producing carbon neutral synthetic fuels in remote locations with abundant, high-quality renewable energy resources. More precisely, a mixed ... [more ▼]

This paper proposes a framework to study the economics of producing carbon neutral synthetic fuels in remote locations with abundant, high-quality renewable energy resources. More precisely, a mixed integer linear programming model enabling the analysis and end-to-end optimization of the full supply chain is introduced along with a novel energy system representation facilitating the formulation of such models. An open source software implementation is also made available. The model is leveraged to study the production of carbon neutral synthetic methane from wind and solar energy in North Africa. Results show that the cost of synthetic methane delivery to northwestern European consumers would be around 100 EUR/MWh for wind-powered systems and around 190 EUR/MWh for solar-only systems, based on conservative short-term technology cost estimates. This cost difference can be explained by the fact that key energy conversion technologies such as methanation are fairly inflexible, while wind has higher capacity factors and smoother production profiles than solar, resulting in reduced flexibility requirements and eventual cost savings. [less ▲]

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See detailGlobal electricity network - Feasibility study
Yu, J.; Bakic, K.; Kumar, A. et al

Report (2019)

With the strong development of renewable energy sources worldwide, the concept of a global electricity network has been imagined in order to take advantage of the diversity from different time zones ... [more ▼]

With the strong development of renewable energy sources worldwide, the concept of a global electricity network has been imagined in order to take advantage of the diversity from different time zones, seasons, load patterns and the intermittency of the generation, thus supporting a balanced coordination of power supply of all interconnected countries. The TB presents the results of the feasibility study performed by WG C1.35. It addresses the challenges, benefits and issues of uneven distribution of energy resources across the world. The time horizon selected is 2050. The study finds significant potential benefits of a global interconnection, identifies the most promising links, and includes sensitivity analyses to different factors, such as wind energy capacity factors or technology costs. [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 detailCentralised Planning of National Integrated Energy System with Power-to-Gas and Gas Storages
Berger, Mathias ULiege; Radu, David-Constantin ULiege; Fonteneau, Raphaël ULiege et al

in Proceedings of the 11th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (Medpower2018) (2018, November)

This paper proposes an optimisation-based framework to tackle long-term centralised planning problems of integrated energy systems with bi-directional electricity-gas carriers coupling under various ... [more ▼]

This paper proposes an optimisation-based framework to tackle long-term centralised planning problems of integrated energy systems with bi-directional electricity-gas carriers coupling under various policy constraints. The framework is leveraged to gain insight into possible configurations of the future Belgian energy system, and identify the cost-optimal energy mix as well as short and long-term storage requirements to satisfy CO2 emissions reductions and energy security targets. Results shed light on the economics of a transition to a low-carbon energy system and reveal the potential of power-to-gas and storage in gas form to help achieve ambitious emissions reduction goals. [less ▲]

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