Lukas Emele

Emissions from the 12 largest chemical parks in Germany

Dirty Dozen: Chemical Industry

In this report we looked at the “Dirty Dozen,” the twelve chemical parks with the highest amount of emissions in Germany. These twelve heavyweights were responsible for a total of around 23 million tonnes of carbon dioxide in 2022. That is a full three percent of the overall greenhouse gas emiss

Working Paper 3/2022

Challenges for the accounting of emerging negative and zero/low emission technologies

The present paper investigates challenges for the reporting and accounting of negative emission technologies (NETs) and zero or low emission technologies (ZLETs) in GHG emissions inventories, under the EU Directive on the promotion of renewable energies (RED II) and under the EU Emissions Trading Sy

Climate and energy scenario and projection comparison. Draft workflow & typology

We discuss the nature of scenario and scenario projection comparisons. We aim to contribute to increasing the value of such comparisons by drafting of a typology which structures these comparisons according to important elements that are currently, to our knowledge, not yet explicitly spelled out in

The representation of energy, energy carriers and fuels in the Open Energy Ontology

The Open Energy Ontology (OEO) is a BFO-based ontology for the domain of energy system analysis. Core of this domain is the concept of energy. Since the concept of energy is ambiguous and has not (yet) been introduced into BFO, we describe why the OEO classifies energy as a quality. We present how e

Identifying drivers of emission trends between 2005 and 2018

Decomposition analysis of CO₂ emissions in the European cement sector

Based on a methodological approach developed by Branger und Quirion (2015), the authors analyse the drivers governing the development of ⁠CO2⁠ emissions from cement production from 2005 to 2018 for the EU28 as a whole and selected EU countries using the logarithmic mean Divisia index (LMDI) deco

Introducing the Open Energy Ontology: Enhancing Data Interpretation and Interfacing in Energy Systems Analysis

Heterogeneous data, different definitions and incompatible models are a huge problem in many domains, with no exception for the field of energy systems analysis. Hence, it is hard to re-use results, compare model results or couple models at all. Ontologies provide a precisely defined vocabulary to b