Comprehensive integration of the non-energy demand within a whole-energy system: Towards a defossilisation of the chemical industry in Belgium

Rixhon, Xavier; Colla, Martin; Tonelli, Davide; Verleysen, Kevin; Limpens, Gauthier; Jeanmart, Hervé; Contino, Francesco

doi:10.52202/062738-0014

Cited by 4 publications

(2 citation statements)

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“…The proposed bi-directional soft-linking methodology is applied on a low-carbon Belgian energy system for the target year 2035 as proposed by [10]. For the purpose of this study, the extended and updated version of EnergyScope which includes the non-energy demands was used [11]. Majority of input data was revised to account for the latest developments inside the Belgian energy system.…”

Section: Case Studymentioning

confidence: 99%

Bi-directional soft-linking between a whole energy system model and a power systems model

Pavičević

Thiran

Limpens

et al. 2022

2022 IEEE PES/IAS PowerAfrica

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To decrabonise the entire energy system, introduction of large shares of variable renewable electricity generation will be needed. Long term energy system planing models are useful to improve the understanding of the decarbonisation pathways but struggle to take into the account the short term variations associated with the increased penetration of variable renewables. This can generate misleading signals regarding the levels of flexibility required in the system. This paper addresses this gap by a innovative bi-directional soft-linking methodology between a long term whole-energy system planing model (EnergyScope) and a multi-sectoral unit commitment and power dispatch model (Dispa-SET). The proposed methodology assesses the integration of short term variability, sizes the flexibility needs and analyses its strengths, limitations and applicability. Results of this study show that convergence criteria of the bi-directional soft-linking are met within two iterations meaning that the newly proposed system is stable and reliable.

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Section: Case Studymentioning

confidence: 99%

Bi-directional soft-linking between a whole energy system model and a power systems model

Pavičević

Thiran

Limpens

et al. 2022

2022 IEEE PES/IAS PowerAfrica

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“…The NED comprises energy products used as raw materials in the different sectors, not consumed as a fuel or transformed into another fuel[19]. In the case of Belgium, it amounts to 20% of the total energy demand and 10% of the world final energy consumption.…”

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confidence: 99%

The energy return on investment of whole energy systems: application to Belgium

Dumas¹,

Dubois²,

Thiran³

et al. 2022

Preprint

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Planning the defossilization of energy systems by facilitating high penetration of renewables and maintaining access to abundant and affordable primary energy resources is a nontrivial multi-objective problem encompassing economic, technical, environmental, and social aspects. However, so far, most long-term policies to decrease the carbon footprint of our societies consider the cost of the system as the leading indicator in the energy system models. This paper is the first to develop a novel approach by adding the energy return on investment (EROI) in a whole energy system optimization model. We built the database with all EROI technologies and resources considered while keeping the core components of the model: open access, multi-energy carriers, short computational time, and accounting for all the energy sectors. In addition, moving away from fossil-based to carbon-neutral energy systems raises the issue of the uncertainty of low-carbon technologies and resource data. Thus, we conducted a global sensitivity analysis to identify the main parameters driving the variations in the EROI of the system. This novel approach can be applied to any energy system at the worldwide, country, or regional level. We use a real-world case study to illustrate the model: the 2035 Belgian energy system for several greenhouse gas emissions targets.The main results are threefold: (i) the EROI of the system decreases from 8.9 to 3.9 when greenhouse gas emissions are reduced by 5; (ii) the renewable fuels -mainly imported renewable gas -represent the largest share of the system primary energy mix due to the lack of endogenous renewable resources such as wind and solar; (iii) in the sensitivity analysis, the renewable fuels drive 67% of the variation of the EROI of the system for low greenhouse gas emissions scenarios.The decrease in the EROI raises questions about meeting the climate targets without adverse socio-economic impact. Most countries rely massively on fossil fuels, like Belgium, and they could encounter an EROI decline when shifting to carbon neutrality. Therefore, this study demonstrates the importance of considering other criteria, such as the EROI, in energy system models. It helps to nuance the cost-based results to better guide policy-makers in addressing the challenges of the energy transition.

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The Energy Return on Investment of Whole-Energy Systems: Application to Belgium

et al. 2022

View full text Add to dashboard Cite

Planning the defossilization of energy systems while maintaining access to abundant primary energy resources is a non-trivial multi-objective problem encompassing economic, technical, environmental, and social aspects. However, most long-term policies consider the cost of the system as the leading indicator in the energy system models to decrease the carbon footprint. This paper is the first to develop a novel approach by adding a surrogate indicator for the social and economic aspects, the energy return on investment (EROI), in a whole-energy system optimization model. In addition, we conducted a global sensitivity analysis to identify the main parameters driving the EROI uncertainty. This method is illustrated in the 2035 Belgian energy system for several greenhouse gas (GHG) emissions targets. Nevertheless, it can be applied to any worldwide or country energy system. The main results are threefold when the GHG emissions are reduced by 80%: (i) the EROI decreases from 8.9 to 3.9; (ii) the imported renewable gas (methane) represents 60 % of the system primary energy mix; (iii) the sensitivity analysis reveals this fuel drives 67% of the variation of the EROI. These results raise questions about meeting the climate targets without adverse socio-economic impact, demonstrating the importance of considering the EROI in energy system models.

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Comprehensive integration of the non-energy demand within a whole-energy system: Towards a defossilisation of the chemical industry in Belgium

Cited by 4 publications

References 0 publications

Bi-directional soft-linking between a whole energy system model and a power systems model

Bi-directional soft-linking between a whole energy system model and a power systems model

The energy return on investment of whole energy systems: application to Belgium

The Energy Return on Investment of Whole-Energy Systems: Application to Belgium

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