Updating renewable energy certificate markets via integration of smart meter data, improved time resolution and spatial optimization

Bogensperger, Alexander; Zeiselmair, Andreas

doi:10.1109/eem49802.2020.9221947

Cited by 6 publications

(13 citation statements)

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“…Within Germany, the rising number of renewable energy plants reaching the end of their 20 years funding period according to the Renewable Energy Act (EEG) makes these plants available for issuing GOs and markets them as "regionally generated renewable energy." Efficiently allocating these energy volume and new business models under potential consideration of regional vicinity is currently subject to research (Bogensperger and Zeiselmair, 2020).…”

Section: Need For Optimization In (Future) Energy Market Environmentsmentioning

confidence: 99%

“…In all described market platform approaches, we are faced by the central question of market clearing. Researchers have brought forth a number of numeric optimizations models that seek to provide market clearing mechanisms that are much more efficient than the traditional auction-based heuristics for several market frameworks (Byrne et al, 2017;Baroche et al, 2019;Bogensperger and Zeiselmair, 2020;Jin et al, 2020). By integrating additional boundary conditions and quality specifications, matching between offer and supply cannot only be represented by a pure cost function.…”

Section: Application To Optimization-based Energy Marketsmentioning

confidence: 99%

“…Finally, the ban on double marketing of EEG-subsidized RES excludes a vast share of available RES (Schweins, 2020). Last but not least, numerous manual interactions, combined with little automation lead to inefficiencies and therefore missing scalability (Bogensperger and Zeiselmair, 2020).…”

Section: Case Study: Allocation Of Renewable Energy Certificatesmentioning

confidence: 99%

“…As an alternative platform solution, Bogensperger and Zeiselmair (2020) propose a modification and extension of today's trading system by a downstream linear optimization (see Figure 3). As a supplement to an ex ante process for trading and allocating estimated future GO certificates (1), the distribution of the acquired certificates within the acquiring party's customers (consumers) is performed by an additional optimization (2).…”

Section: Case Study: Allocation Of Renewable Energy Certificatesmentioning

confidence: 99%

“…FIGURE 3 | e 3 -value model describing the interactions of a potential auction platform for GO, divided into ex ante trading (1) and ex post optimized GO distribution (2), adapted according toBogensperger and Zeiselmair (2020).…”

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confidence: 99%

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Analysis and Application of Verifiable Computation Techniques in Blockchain Systems for the Energy Sector

Zeiselmair¹,

Steinkopf²,

Gallersdörfer³

et al. 2021

Front. Blockchain

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The energy system is becoming increasingly decentralized. This development requires integrating and coordinating a rising number of actors and small units in a complex system. Blockchain could provide a base infrastructure for new tools and platforms that address these tasks in various aspects—ranging from dispatch optimization or dynamic load adaption to (local) market mechanisms. Many of these applications are currently in development and subject to research projects. In decentralized energy markets especially, the optimized allocation of energy products demands complex computation. Combining these with distributed ledger technologies leads to bottlenecks and challenges regarding privacy requirements and performance due to limited storage and computational resources. Verifiable computation techniques promise a solution to these issues. This paper presents an overview of verifiable computation technologies, including trusted oracles, zkSNARKs, and multi-party computation. We further analyze their application in blockchain environments with a focus on energy-related applications. Applied to a distinct optimization problem of renewable energy certificates, we have evaluated these solution approaches and finally demonstrate an implementation of a Simplex-Optimization using zkSNARKs as a case study. We conclude with an assessment of the applicability of the described verifiable computation techniques and address limitations for large-scale deployment, followed by an outlook on current development trends.

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Section: Need For Optimization In (Future) Energy Market Environmentsmentioning

confidence: 99%

Section: Application To Optimization-based Energy Marketsmentioning

confidence: 99%

Section: Case Study: Allocation Of Renewable Energy Certificatesmentioning

confidence: 99%

Section: Case Study: Allocation Of Renewable Energy Certificatesmentioning

confidence: 99%

mentioning

confidence: 99%

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Analysis and Application of Verifiable Computation Techniques in Blockchain Systems for the Energy Sector

Zeiselmair¹,

Steinkopf²,

Gallersdörfer³

et al. 2021

Front. Blockchain

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Replacing location-based electricity consumption with market-based residual mixes in background data to avoid possible double counting: a quantitative analysis of effects and challenges

Holzapfel,

Bunsen,

Schmidt-Sierra

et al. 2024

Int J Life Cycle Assess

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Purpose Most life cycle inventory (LCI) datasets include location-based electricity mixes. Using these LCI datasets in combination with market-based electricity accounting in life cycle assessments (LCAs) leads to double counting of electricity from specific sources, such as renewable energy. The goal of this paper is to analyze market-based accounting by replacing location-based electricity consumption with market-based residual mixes in all processes of the ecoinvent database. The python script for this replacement procedure is openly available. Materials and methods We use the Brightway 2 software package to replace European location-based electricity consumption in all 21,238 processes of the ecoinvent database with residual electricity mixes on the corresponding voltage level. The ecoinvent database provides residual electricity mixes for all countries involved in European trade with market-based energy attribute certificates—Guarantees of Origin. We analyze the induced changes to the database both on an individual process level and on a database-wide level. The analysis focusses on the impact category climate change but is further extended to the impact categories terrestrial acidification, freshwater eutrophication, marine eutrophication, ozone depletion, and particulate matter formation. Results and discussion For European processes, the implementation of the residual electricity mixes leads to average changes in the life cycle impact assessment (LCIA) results for climate change of 1%, 10%, 20%, and 50% for 2958, 733, 387, and 107 processes, respectively. Changes are especially pronounced for Norwegian and Icelandic processes due to the large differences among their location-based and residual electricity mixes. For the other analyzed impact categories, the changes in LCIA results are particularly high for freshwater eutrophication. With the push towards more primary data in LCA and GHG accounting, the impacts of using residual electricity mixes instead of location-based electricity mixes need further research on basis of quantified figures, which we present in this paper. Conclusion This paper presents an approach towards enabling more consistent market-based accounting throughout LCAs and thereby contributes to the avoidance of double counting. Since only European residual mixes are considered, the database of this paper leads to distortion of LCA results. Further, research is needed to address double counting beyond the European electricity sector. This includes an expansion of this research to a global level and other industrial sectors. Furthermore, research is needed regarding industry-specific electricity sources in LCI datasets, which may also lead to double counting.

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Optimal Operation of Green Hydrogen Generation Plant with Solar PV, Renewable Energy Certificates and Virtual Battery Ledger

Hein,

Bertin,

Yuan

et al. 2023

IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society

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Updating renewable energy certificate markets via integration of smart meter data, improved time resolution and spatial optimization

Cited by 6 publications

References 1 publication

Analysis and Application of Verifiable Computation Techniques in Blockchain Systems for the Energy Sector

Analysis and Application of Verifiable Computation Techniques in Blockchain Systems for the Energy Sector

Replacing location-based electricity consumption with market-based residual mixes in background data to avoid possible double counting: a quantitative analysis of effects and challenges

Optimal Operation of Green Hydrogen Generation Plant with Solar PV, Renewable Energy Certificates and Virtual Battery Ledger

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