Masterarbeit, 2012
53 Seiten
This master thesis examines the compliance with the EU Emissions Trading Scheme (EU ETS) in Germany. The study focuses on the German implementation of the EU ETS and analyzes the obligations and compliance of operators of covered installations, as well as the role of verifiers in ensuring the scheme's effectiveness.
The introduction provides an overview of the EU ETS and its compliance mechanisms. Chapter 2 examines the compliance cycle of the EU ETS, including the monitoring, reporting, verification, and sanctioning procedures. Chapter 3 focuses on the case study of the German implementation of the EU ETS, analyzing the obligation and compliance of operators of covered installations, including the design of monitoring plans, submission of emission reports, and the role of verifiers. The chapter explores the legal basis for these obligations and the consequences of non-compliance.
This master thesis focuses on the EU Emissions Trading Scheme (EU ETS), compliance, monitoring, reporting, verification, sanctions, German implementation, operators of covered installations, monitoring plans, emission reports, verifiers, legal basis, non-compliance.
The thesis examines the enforcement and compliance system of the EU Emissions Trading Scheme (EU ETS), with a specific case study on how it is implemented in Germany.
The compliance cycle is based on three pillars: monitoring emissions, reporting them to the authorities, and verifying the data through independent third parties.
Operators must design an approved monitoring plan, submit annual emission reports electronically (e.g., via the DEHSt system in Germany), and ensure their reports are verified.
Verifiers are private entities responsible for checking the accuracy of emission reports. They must meet strict requirements for accreditation, impartiality, and independence.
Legal consequences include requests for further information, administrative sanctions, and penalties if an installation emits more than its allowed allowances.
The study identifies frequent mistakes such as incomplete data forwarding, incorrect calculation methodologies, and biased verification decisions.
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