The Experts below are selected from a list of 192 Experts worldwide ranked by ideXlab platform
Nouredine Hadjsaid - One of the best experts on this subject based on the ideXlab platform.
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European transmission grid expansion as a flexibility option in a scenario of large scale variable renewable energies integration
Energy Economics, 2020Co-Authors: Stéphane Allard, Silvana Mima, Patrick Criqui, Vincent Debusschere, Tuan Tran Quoc, Nouredine HadjsaidAbstract:This paper presents a new power sector module, called EUTGRID, which is coupled with the long-term Energy model POLES to deliver a suitable framework for considering grid aspects in Energy Modelling allowing for more distinct analysis of Energy technology development and Energy policy. It includes a mechanism of investment in transmission grids based on nodal prices together with a DC-load flow and a more detailed description of the European transmission grid. The methodology goes beyond “conventional” Energy systems Modelling, where the electricity grid is usually represented as a copper plate. The results show that within a climate policy scenario, the grid investment needs reach 454b$ for 2010–2080 as regions with high share of VREs require new interconnections. The role of the transmission grid in reducing variable system costs and VREs curtailment is also assessed. Delaying the investments may result in non-distributed Energy and the need of more back-up carbon technologies.
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Modelling the impacts of variable renewable sources on the power sector: Reconsidering the typology of Energy Modelling tools
Energy, 2015Co-Authors: Jacques Després, Nouredine Hadjsaid, Patrick Criqui, Isabelle NoirotAbstract:The exploration of future Energy system trajectories needs to be based on long-term scenarios, which in turn requires using long-term Modelling tools. Introducing a strong decarbonisation constraint, for instance, profoundly modifies the power sector, which is impacted by increasing shares of variable renewable Energy sources. Long-term Modelling tools working on different assumptions increasingly factor in these impacts, the assessment of which requires a clear description and categorization of the technical and economic choices for representing the tools in question. A new typology based on a literature review is presented for both power sector models and long-term models of the Energy system. New comparing criteria focussing on the power sector's components are put forward, such as electricity storage and grid. An analysis carried out by means of this categorization on five chosen models shows that, up until now, Energy Modelling tools and power system tools have been designed to meet separate objectives and have not combined their advantages.
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Analysing the interactions between Variable Renewable Energies, electricity storage and grid in long term Energy Modelling tools
2014Co-Authors: Jacques Després, Silvana Mima, Patrick Criqui, Nouredine Hadjsaid, Isabelle NoirotAbstract:Energy systems are changing worldwide: new Energy policies promote more sustainable Energy productions, including Variable Renewable Energy sources (VREs) such as wind or solar. The long-term implications of the variability and relative unpredictability of these non dispatchable Energy sources need to be assessed, for example with Energy scenarios. Indeed, electricity is not a homogeneous good: its value depends on the time, space and how variable a production is. Long-term Energy models are used, VREs integration challenges being a hot topic in Energy Modelling. An assessment of long-term Energy models is necessary to understand how they represent the specific constraints of VREs on the rest of the power system. Therefore a new typology is proposed for comparing both long-term Energy models and power sector models. This comparison shows that – despite all the recent Modelling efforts – no long-term Energy model represents in detail all the impacts of VREs on the power sector. For example, the sequential representation of the electricity storage operation is too precise for many long-term models. Therefore we develop a dedicated new power sector module, EUCAD (European Unit Commitment And Dispatch). The particularity of the work is that it is connected to POLES (Prospective Outlook on Long-term Energy Systems), one of the most technology-detailed long-term Energy models. We present the first results of this new detailed electricity module.
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Variable renewable energies and storage development in long term Energy Modelling tools
2014Co-Authors: Jacques Després, Silvana Mima, Patrick Criqui, Nouredine Hadjsaid, Isabelle NoirotAbstract:Energy systems are changing worldwide, and particularly in Europe, where Energy policies promote a more sustainable Energy production. Variable Renewable Energy sources (VRE) such as wind or solar are benefiting from these policies, but the long term implications need to be anticipated, through Energy scenarios. Long term Energy models are used, and VRE integration challenges are a hot topic in Energy Modelling. An assessment of long term Energy models is necessary to understand how they represent the specific constraints of VRE on the rest of the power system. Therefore a new typology is proposed for comparing both long term Energy models and power sector models. This comparison shows that, despite all the recent Modelling efforts, no long term Energy model represents in detail the power sector, with all the impacts of VRE. For example, there is no real representation of the electricity storage operation. Therefore we develop a new power sector module for POLES (Prospective Outlook on Long-term Energy Systems), one of the most technology-detailed long term Energy models. We present the first results of this new detailed electricity module.
Guowang Miao - One of the best experts on this subject based on the ideXlab platform.
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resource provision for Energy efficient mobile edge computing systems
Global Communications Conference, 2018Co-Authors: Peiliang Chang, Guowang MiaoAbstract:Mobile Edge Computing (a.k.a Fog computing) is recently proposed to provide computing service for delay-sensitive mobile applications. Despite various benefits, deploying edge servers in cellular networks would increase their Energy consumption. In this paper, we investigate the provision of resources, including both communication and computation resources, of Mobile Edge Computing (MEC) systems to improve their Energy efficiency (EE). In a MEC system, both the communication subsystem, which allows mobile users to access Internet and offload their computing tasks, and the computation subsystem, which accomplishes the offloaded computing tasks, affect the service latency and consume Energy. Modelling the whole system as tandem queues, we study the trade-offs between these two subsystems on Energy consumption and service latency. Based on the analysis results, we propose an algorithm to determine the optimal provision of both communication and computation resources to minimize the overall Energy consumption without sacrificing the performance on service latency. Numerical results are provided to validate our analytical findings.
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GLOBECOM - Resource Provision for Energy-Efficient Mobile Edge Computing Systems
2018 IEEE Global Communications Conference (GLOBECOM), 2018Co-Authors: Peiliang Chang, Guowang MiaoAbstract:Mobile Edge Computing (a.k.a Fog computing) is recently proposed to provide computing service for delay-sensitive mobile applications. Despite various benefits, deploying edge servers in cellular networks would increase their Energy consumption. In this paper, we investigate the provision of resources, including both communication and computation resources, of Mobile Edge Computing (MEC) systems to improve their Energy efficiency (EE). In a MEC system, both the communication subsystem, which allows mobile users to access Internet and offload their computing tasks, and the computation subsystem, which accomplishes the offloaded computing tasks, affect the service latency and consume Energy. Modelling the whole system as tandem queues, we study the trade-offs between these two subsystems on Energy consumption and service latency. Based on the analysis results, we propose an algorithm to determine the optimal provision of both communication and computation resources to minimize the overall Energy consumption without sacrificing the performance on service latency. Numerical results are provided to validate our analytical findings.
Neil Strachan - One of the best experts on this subject based on the ideXlab platform.
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Business-as-Unusual: Existing policies in Energy model baselines
Energy Economics, 2011Co-Authors: Neil StrachanAbstract:Abstract Baselines are generally accepted as a key input assumption in long-term Energy Modelling, but Energy models have traditionally been poor on identifying baselines assumptions. Notably, transparency on the current policy content of model baselines is now especially critical as long-term climate mitigation policies have been underway for a number of years. This paper argues that the range of existing Energy and emissions policies are an integral part of any long-term baseline, and hence already represent a “with-policy” baseline, termed here a Business-as-Unusual (BAuU). Crucially, existing Energy policies are not a sunk effort; as impacts of existing policy initiatives are targeted at future years, they may be revised through iterative policy making, and their quantitative effectiveness requires ex-post verification. To assess the long-term role of existing policies in Energy Modelling, currently identified UK policies are explicitly stripped out of the UK MARKAL Elastic Demand (MED) optimisation Energy system model, to generate a BAuU (with-policy) and a REF (without policy) baseline. In terms of long-term mitigation costs, policy-baseline assumptions are comparable to another key exogenous Modelling assumption — that of global fossil fuel prices. Therefore, best practice in Energy Modelling would be to have both a no-policy reference baseline, and a current policy reference baseline (BAuU). At a minimum, Energy Modelling studies should have a transparent assessment of the current policy contained within the baseline. Clearly identifying and comparing policy-baseline assumptions are required for cost effective and objective policy making, otherwise Energy models will underestimate the true cost of long-term emissions reductions.
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the iterative contribution and relevance of Modelling to uk Energy policy
Energy Policy, 2009Co-Authors: Neil Strachan, Steve Pye, Ramachandran KannanAbstract:Abstract This paper discusses the iterative provision of Modelling insights on long-term decarbonisation scenarios for UK Energy policy makers. A multi-year model construction process of the UK MARKAL-Macro-hybrid Energy-economic model, and four subsequent major policy analyses illustrates the scope of this interaction. The initial set of Modelling runs focused on the technical feasibility of long-term 60% carbon dioxide (CO2) reduction scenarios, the role of key technologies, and the underlying uncertainties. Furthermore subsequent Modelling studies were aimed to generate insights on more stringent targets, and on issues and uncertainties that may make targets harder to achieve. Hence, this paper analyses the large number of long-term UK CO2 reduction scenarios through a clustering approach on target stringency and barriers to implementation. Robust findings and key uncertainties are highlighted, including the critical role of the power sector, trade-offs between resources, sectors, key Energy technologies and behavioural responses, and the increasing level and spread of CO2 marginal prices and GDP impacts. The relevance and use of Modelling insights to the UK Energy policy process is shown in the continuation of the Energy Modelling–policy interface. This constitutes both ongoing model development, and nuanced scenario analysis designed to further explore key uncertainties in evolving policy issues.
Guido Plessmann - One of the best experts on this subject based on the ideXlab platform.
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The Open Energy Modelling Framework (oemof) - A new approach to facilitate open science in Energy system Modelling
Energy Strategy Reviews, 2018Co-Authors: Simon Hilpert, Cord Kaldemeyer, Uwer Krien, Clemens Wingenbach, Stephan Gunther, Guido PlessmannAbstract:Abstract Energy system models have become indispensable tools for planning future Energy systems by providing insights into different development trajectories. However, sustainable systems with high shares of renewable Energy are characterized by growing cross-sectoral interdependencies and decentralized structures. To capture important properties of increasingly complex Energy systems, sophisticated and flexible Modelling tools are needed. At the same time, open science is becoming increasingly important in Energy system Modelling. This paper presents the Open Energy Modelling Framework (oemof) as a novel approach to Energy system Modelling, representation and analysis. The framework provides a toolbox to construct comprehensive Energy system models and has been published open source under a free licence. Through collaborative development based on open processes, the framework supports a maximum level of participation, transparency and open science principles in Energy system Modelling. Based on a generic graph-based description of Energy systems, it is well-suited to flexibly model complex cross-sectoral systems and incorporate various Modelling approaches. This makes the framework a multi-purpose Modelling environment for Modelling and analyzing different systems at scales ranging from urban to transnational.
Patrick Criqui - One of the best experts on this subject based on the ideXlab platform.
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European transmission grid expansion as a flexibility option in a scenario of large scale variable renewable energies integration
Energy Economics, 2020Co-Authors: Stéphane Allard, Silvana Mima, Patrick Criqui, Vincent Debusschere, Tuan Tran Quoc, Nouredine HadjsaidAbstract:This paper presents a new power sector module, called EUTGRID, which is coupled with the long-term Energy model POLES to deliver a suitable framework for considering grid aspects in Energy Modelling allowing for more distinct analysis of Energy technology development and Energy policy. It includes a mechanism of investment in transmission grids based on nodal prices together with a DC-load flow and a more detailed description of the European transmission grid. The methodology goes beyond “conventional” Energy systems Modelling, where the electricity grid is usually represented as a copper plate. The results show that within a climate policy scenario, the grid investment needs reach 454b$ for 2010–2080 as regions with high share of VREs require new interconnections. The role of the transmission grid in reducing variable system costs and VREs curtailment is also assessed. Delaying the investments may result in non-distributed Energy and the need of more back-up carbon technologies.
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Modelling the impacts of variable renewable sources on the power sector: Reconsidering the typology of Energy Modelling tools
Energy, 2015Co-Authors: Jacques Després, Nouredine Hadjsaid, Patrick Criqui, Isabelle NoirotAbstract:The exploration of future Energy system trajectories needs to be based on long-term scenarios, which in turn requires using long-term Modelling tools. Introducing a strong decarbonisation constraint, for instance, profoundly modifies the power sector, which is impacted by increasing shares of variable renewable Energy sources. Long-term Modelling tools working on different assumptions increasingly factor in these impacts, the assessment of which requires a clear description and categorization of the technical and economic choices for representing the tools in question. A new typology based on a literature review is presented for both power sector models and long-term models of the Energy system. New comparing criteria focussing on the power sector's components are put forward, such as electricity storage and grid. An analysis carried out by means of this categorization on five chosen models shows that, up until now, Energy Modelling tools and power system tools have been designed to meet separate objectives and have not combined their advantages.
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Analysing the interactions between Variable Renewable Energies, electricity storage and grid in long term Energy Modelling tools
2014Co-Authors: Jacques Després, Silvana Mima, Patrick Criqui, Nouredine Hadjsaid, Isabelle NoirotAbstract:Energy systems are changing worldwide: new Energy policies promote more sustainable Energy productions, including Variable Renewable Energy sources (VREs) such as wind or solar. The long-term implications of the variability and relative unpredictability of these non dispatchable Energy sources need to be assessed, for example with Energy scenarios. Indeed, electricity is not a homogeneous good: its value depends on the time, space and how variable a production is. Long-term Energy models are used, VREs integration challenges being a hot topic in Energy Modelling. An assessment of long-term Energy models is necessary to understand how they represent the specific constraints of VREs on the rest of the power system. Therefore a new typology is proposed for comparing both long-term Energy models and power sector models. This comparison shows that – despite all the recent Modelling efforts – no long-term Energy model represents in detail all the impacts of VREs on the power sector. For example, the sequential representation of the electricity storage operation is too precise for many long-term models. Therefore we develop a dedicated new power sector module, EUCAD (European Unit Commitment And Dispatch). The particularity of the work is that it is connected to POLES (Prospective Outlook on Long-term Energy Systems), one of the most technology-detailed long-term Energy models. We present the first results of this new detailed electricity module.
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Variable renewable energies and storage development in long term Energy Modelling tools
2014Co-Authors: Jacques Després, Silvana Mima, Patrick Criqui, Nouredine Hadjsaid, Isabelle NoirotAbstract:Energy systems are changing worldwide, and particularly in Europe, where Energy policies promote a more sustainable Energy production. Variable Renewable Energy sources (VRE) such as wind or solar are benefiting from these policies, but the long term implications need to be anticipated, through Energy scenarios. Long term Energy models are used, and VRE integration challenges are a hot topic in Energy Modelling. An assessment of long term Energy models is necessary to understand how they represent the specific constraints of VRE on the rest of the power system. Therefore a new typology is proposed for comparing both long term Energy models and power sector models. This comparison shows that, despite all the recent Modelling efforts, no long term Energy model represents in detail the power sector, with all the impacts of VRE. For example, there is no real representation of the electricity storage operation. Therefore we develop a new power sector module for POLES (Prospective Outlook on Long-term Energy Systems), one of the most technology-detailed long term Energy models. We present the first results of this new detailed electricity module.