Assessing the Future of Renewable and Smart Grid Technologies in Regional Energy Systems

Babonneau, Frédéric Louis François; Haurie, Alain; Tarel, Guillaume; Thénie, Julien

doi:10.1007/bf03399367

Cited by 13 publications

(7 citation statements)

References 21 publications

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“…They classify nine models according to their typology as bottom-up, top-down, or in-between hybrid approaches. Within the bottom-up group are the ETEM model of regional energy systems (Babonneau et al 2012), the Swiss MARKAL model covering the whole Swiss energy system and its successor Swiss TIMES with a focus on the electricity sector (Weidmann et al 2012). Those models usually apply a high level of technological detail and a corresponding regional representation.…”

Section: Literature Reviewmentioning

confidence: 99%

Swissmod - A Model of the Swiss Electricity Market

Schlecht

Weigt

2014

SSRN Journal

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We present a bottom-up electricity market model for Switzerland called Swissmod. It includes a detailed electricity network and hydropower representation. Swissmod captures the features and restrictions of run-of-river, yearly storage and pumped-storage power plants and combines this with a network model of the river and water stream system to take the interdependence of hydraulically coupled hydropower plants into account. In addition, the Swiss electricity network is represented using the DC load flow approach, allowing for spatial market evaluations. The model is developed as a deterministic optimization problem in GAMS. It provides an hourly resolution over a one-year horizon with an approximated representation of the surrounding European electricity markets. The aim of this paper is to outline the model and calibrate it to 2012 data.

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Section: Literature Reviewmentioning

confidence: 99%

Swissmod - A Model of the Swiss Electricity Market

Schlecht

Weigt

2014

SSRN Journal

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“…The ETEM provides the planner with a decision-making framework that not only considers a detailed description of the useful demand technologies, but also models some important characteristics of the demand side, such as demand response in electrical networks. The ETEM was first formulated in [ 28 , 29 ] to model the energy system of the Midi-Pyrénées region in France and the Arc Lémanique region in Switzerland. In [ 11 , 30 ], the ETEM model was further developed by introducing a linear approximation of power flow constraints and distribution module.…”

Section: Literature Reviewmentioning

confidence: 99%

Energy Transition Pathways for Deep Decarbonization of the Greater Montreal Region: An Energy Optimization Framework

et al. 2022

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More than half of the world’s population live in cities, and by 2050, it is expected that this proportion will reach almost 68%. These densely populated cities consume more than 75% of the world’s primary energy and are responsible for the emission of around 70% of anthropogenic carbon. Providing sustainable energy for the growing demand in cities requires multifaceted planning approach. In this study, we modeled the energy system of the Greater Montreal region to evaluate the impact of different environmental mitigation policies on the energy system of this region over a long-term period (2020–2050). In doing so, we have used the open-source optimization-based model called the Energy–Technology–Environment Model (ETEM). The ETEM is a long-term bottom–up energy model that provides insight into the best options for cities to procure energy, and satisfies useful demands while reducing carbon dioxide (CO2) emissions. Results show that, under a deep decarbonization scenario, the transportation, commercial, and residential sectors will contribute to emission reduction by 6.9, 1.6, and 1 million ton CO2-eq in 2050, respectively, compared with their 2020 levels. This is mainly achieved by (i) replacing fossil fuel cars with electric-based vehicles in private and public transportation sectors; (ii) replacing fossil fuel furnaces with electric heat pumps to satisfy heating demand in buildings; and (iii) improving the efficiency of buildings by isolating walls and roofs.

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“…One must now introduce the optimal dispatch model in a multi-energy long term LP model like ETEM-SG [3]. The implicit nodal prices given by expressions similar to (9) in this larger model will then serve to guide demand response, e.g.…”

Section: The Optimal Dispatch Problem and Its Dual Solutionmentioning

confidence: 99%

“…The transition to sustainable energy system, in Europe as in the rest of OECD countries involves an increase of distributed power generation from variable renewable sources such as wind turbines and solar panels, the development of electric mobility, the linking of power and heat or cooling generation and the active use of demand response. ETEM-SG is a model developed recently [3,16] to assess the future role of renewable and smart-grid technologies in the energy transition, at a regional level.…”

Section: Introductionmentioning

confidence: 99%

Energy technology environment model with smart grid and robust nodal electricity prices

Babonneau

Haurie

2018

Ann Oper Res

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In this paper one introduces the modeling of power flow constraints for transmission grid in the multi-sectoral multi-energy long-term investment planning tool ETEM-SG. This extension allows a better representation of demand response for flexible loads triggered by real time marginal cost pricing. Since the loads and the generation units are geographically distributed these prices should be represented by nodal marginal costs. Now ETEM-SG contains a linearized DC power flow model that represent the transmission grid with the main constraints on the power flowing through the different arcs of the electricity transmission network. Robust optimization is used to take into account the uncertainty on the capacity limits resulting from inter-regional transit. A numerical illustration is carried out for a data set corresponding grossly to the Leman Arc region.

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Assessing the Future of Renewable and Smart Grid Technologies in Regional Energy Systems

Cited by 13 publications

References 21 publications

Swissmod - A Model of the Swiss Electricity Market

Swissmod - A Model of the Swiss Electricity Market

Energy Transition Pathways for Deep Decarbonization of the Greater Montreal Region: An Energy Optimization Framework

Energy technology environment model with smart grid and robust nodal electricity prices

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