Long term evaluation of electric storage technologies vs alternative flexibility options for the Swiss energy system

Panos, Evangelos; Kober, Tom; Wokaun, Alexander

doi:10.1016/j.apenergy.2019.113470

Cited by 66 publications

(58 citation statements)

References 56 publications

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“…The legislation clearly defines BSP's roles and mitigates costs and risks. The closure of nuclear power plants and water scarcity may increase the need for flexibility in Switzerland in the coming years [46]. All AS are open to DR and aggregation, and in 2017 [47], DR provided 3 MW of reserve in FCR, 10 MW in aFRR, and 49 MW in mFRR [32].…”

Section: Switzerlandmentioning

confidence: 99%

A Critical Review of Demand Response Products as Resource for Ancillary Services: International Experience and Policy Recommendations

et al. 2021

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Demand response is a key element of future power systems due to its capacity to defer grid investments, improve demand participation in the market, and absorb renewable energy source variations. In this regard, demand response can play an important role in delivering ancillary services to power systems. The lack of standardization and ancillary services programs prepared for traditional generators have blocked the participation of demand in these services. Nowadays, increasing needs to ensure the security of supply, renewable fluctuations, and information and communication technology advances are boosting the interest in demand response products to deliver ancillary services. While countries have had lengthy experience with these programs, others are starting from almost zero to develop these programs. To our knowledge, no analysis or standardized comparison exists of the different parameters and prices of demand response in ancillary services among different countries. Our study reviews more than 20 power systems around the world and their programs to classify them according to standard demand response parameters. At the end of the paper we discuss the main characteristics and prices that face demand response in ancillary services markets and a series of policy recommendations to policymakers to improve the deployment on demand participation in ancillary services.

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Section: Switzerlandmentioning

confidence: 99%

A Critical Review of Demand Response Products as Resource for Ancillary Services: International Experience and Policy Recommendations

et al. 2021

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“…The Swiss TIMES energy model is a bottom-up ESM with a comprehensive representation of resources, technologies, energy flows, and technological changes. The technical and economic parameters and the key assumptions used in the model are described in Panos et al (21) and summarized in this section. The Swiss TIMES energy model determines the lowest-cost configuration of future Swiss energy systems, covering the electricity, heating, and transport sectors.…”

Section: Main Tools: Stem and Lcamentioning

confidence: 99%

“…To overcome these limitations, we develop a framework to integrate environmental indicators based on the LCA method into an ESM. As a case study to demonstrate the feasibility of our approach, we use the Swiss energy system and integrate LCA indicators into the Swiss TIMES energy model 21 (STEM). The Swiss TIMES energy model is a large-scale cost-optimization ESM that covers an extended set of energy technologies and multiple energy sectors based on the TIMES modeling framework.…”

Section: Introductionmentioning

confidence: 99%

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Energy System Pathways with Low Environmental Impacts and Limited Costs: Minimizing Climate Change Impacts Produces Environmental Cobenefits and Challenges in Toxicity and Metal Depletion Categories

Vandepaer

Panos

Bauer

et al. 2020

Environ. Sci. Technol.

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“…Six global scenarios were generated considering various climate uncertainties and GHG reduction targets [18]. Panos et al used two scenarios to investigate benefits of flexibility options for long-term decarbonisation of Switzerland [19] In recent years, there have been several studies focusing on developing new approaches to systematically explore techno-economic uncertainties, in order to help policy-makers make more robust decisions. For example, global sensitivity analysis (GSA) is applied in Fais et al [20] to explore the influences of uncertainty across a range of lowcarbon technologies on the 28 generated long-term decarbonisation pathways.…”

Section: Introductionmentioning

confidence: 99%

Using clustering algorithms to characterise uncertain long-term decarbonisation pathways

Pye

Keppo

2020

Applied Energy

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Long-term decarbonisation pathways to achieve ambitious low-carbon targets involve a range of uncertainties. Different energy system modelling approaches can be used to systematically evaluate the influence of the uncertainties, but this often leads to an unmanageable number of pathways. Summarising the large ensemble through a more limited number of representative pathways, to inform stakeholders, can be challenging. This study thus explores how to identify representative decarbonisation pathways using clustering algorithms, which can assist in grouping similar data points in uncategorised datasets, such as pathway ensembles. However, the suitability of clustering algorithms for pathway characterisation has not been investigated to date. Hence, k-means, hierarchical clustering, Gaussian mixture model, spectral clustering, and density-based clustering are adopted for comparisons. An illustrative pathway ensemble for the United Kingdom is applied to evaluate their performance based on cluster validity indices. Three metric transformations, including power, standardisation and sectoral standardisation, are also applied to create three additional sets of pathways for testing. The k-means algorithm is found to outperform others consistently, although hierarchical clustering might also be applicable if the distribution of pathway proximity is uneven. The results also highlight the utility of the approach in revealing distinctive trade-offs between technologies among the identified representative pathways. For instance, the electrification of heating can be replaced by district heating in the residential sector. The described, novel approach can be applied to characterise other sets of pathways, with greater technological details generated by any energy system models, to reveal insights for long-term decarbonisation.

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Long term evaluation of electric storage technologies vs alternative flexibility options for the Swiss energy system

Cited by 66 publications

References 56 publications

A Critical Review of Demand Response Products as Resource for Ancillary Services: International Experience and Policy Recommendations

A Critical Review of Demand Response Products as Resource for Ancillary Services: International Experience and Policy Recommendations

Energy System Pathways with Low Environmental Impacts and Limited Costs: Minimizing Climate Change Impacts Produces Environmental Cobenefits and Challenges in Toxicity and Metal Depletion Categories

Using clustering algorithms to characterise uncertain long-term decarbonisation pathways

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