Merge remote-tracking branch 'head_editor/patch-1'

paper/paper.md

@@ -47,7 +47,7 @@ The user creates the process model based on generic simulation objects. Once the
 
 # Statement of Need
 
-Energy system models are tools that provide guidance on future energy systems, which are currently undergoing significant changes to due global efforts to reduce dependence on fossil fuels. [@Prina.2020 p.1]. However, building long-term models with high spatial and temporal resolution and transparent input data remains a challenge [@Prina.2020 p.12].  For instance, historical load profiles for the German industrial sector in 2015 are available [@Priesmann.2021 p.5-6], while load profiles for other regions are not currently available. Furthermore, decarbonization efforts will cause changes in the industrial sector, creating a need for load profiles of future scenarios. To address the lack of sectoral load profiles for the industry, Boßmann and Stafell [-@Bomann.2015 p.1321] demonstrated the use of a bottom-up approach. Therefore, it is necessary to obtain load profiles of the industrial processes that are part of the industrial sector. However, these profiles are often unavailable for open research due to:
+Energy system models are tools that provide guidance on future energy systems, which are currently undergoing significant changes to due global efforts to reduce dependence on fossil fuels [@Prina.2020 p.1]. However, building long-term models with high spatial and temporal resolution and transparent input data remains a challenge [@Prina.2020 p.12].  For instance, historical load profiles for the German industrial sector in 2015 are available [@Priesmann.2021 p.5-6], while load profiles for other regions are not currently available. Furthermore, decarbonization efforts will cause changes in the industrial sector, creating a need for load profiles of future scenarios. To address the lack of sectoral load profiles for the industry, Boßmann and Stafell [-@Bomann.2015 p.1321] demonstrated the use of a bottom-up approach. Therefore, it is necessary to obtain load profiles of the industrial processes that are part of the industrial sector. However, these profiles are often unavailable for open research due to:
 
 - Companies' efforts to protect commercial secrets;
 - Missing measurements; 
@@ -60,7 +60,7 @@ ETHOS.PeNALPS provides modeling capabilities to simulate load profiles of indivi
 
 # Method
 
-There are four simulation modeling paradigms as shown in \ref{fig:Simulation paradigms}. ETHOS.PeNALPS utilizes an agent-based approach for the nodes of a material flow system. Currently, the most important nodes of the material flow system, the process steps, contain a Petri net to model their activity. The part of the ETHOS.PeNALPS simulation based on the Petri net can be classified as a discrete event simulation. @Borshchev.2004 and @Thiede.2012b p.45-49 provide an introduction and comparison to these paradigms.
+There are four simulation modeling paradigms as shown in Figure \ref{fig:Simulation paradigms}. ETHOS.PeNALPS utilizes an agent-based approach for the nodes of a material flow system. Currently, the most important nodes of the material flow system, the process steps, contain a Petri net to model their activity. The part of the ETHOS.PeNALPS simulation based on the Petri net can be classified as a discrete event simulation. @Borshchev.2004 and Thiede [-@Thiede.2012b p.45-49] provide an introduction and comparison to these paradigms.
 
 ![Simulation paradigms for material flow simulations [@Thiede.2012b p.47] adapted from [@Borshchev.2004 p. 3]. \label{fig:Simulation paradigms}](simulation_methods.png)
 
@@ -85,9 +85,9 @@ The behavior of a process step during request fulfillment is determined by a seq
 
 # Other Tools
 
-There are numerous publications on the simulation of energy features of industrial processes. A collection can be found in [@Stoldt.2019 p.69-73].  However, many of these publications are limited to the presentation of concepts and selected simulation results, without implementation details. This lack of information creates a significant overhead for new research.
+There are numerous publications on the simulation of energy features of industrial processes. A collection is given by Stoldt [-@Stoldt.2019 p.69-73].  However, many of these publications are limited to the presentation of concepts and selected simulation results, without implementation details. This lack of information creates a significant overhead for new research.
 
-Stoldt et al. [-@Stoldt.2021] presents a comprehensive literature review on energy-oriented simulations in production and logistics, covering 207 publications. The article identifies the most relevant tools and simulation architectures. The most relevant simulation architectures are the discrete event simulation with integrated energy assessment, discrete event simulation with separate energy simulation, continuous simulation, agent-based simulation, one tool, different models and coupling of models.
+Stoldt et al. [-@Stoldt.2021] present a comprehensive literature review on energy-oriented simulations in production and logistics, covering 207 publications. The article identifies the most relevant tools and simulation architectures. The most relevant simulation architectures are the discrete event simulation with integrated energy assessment, discrete event simulation with separate energy simulation, continuous simulation, agent-based simulation, one tool, different models and coupling of models.
 
 Stoldt et al. [-@Stoldt.2021] reported the most commonly used simulation tools include PlantSimulation [-@SiemensDigitalIndustriesSoftware.15.03.2024], Anylogic [-@TheAnyLogicCompany.19.03.2024], Arena [-@RockwellAutomation.17.02.2024], Matlab [-@TheMathWorksInc.21.03.2024], Automod [-@AutoModSimulationssoftware.07.11.2019], Simio [-@LLC.19.03.2024] and Witness [-@LannerGroupLimited.19.03.2024], all of which are commercial tools. No open-source tools were found, although self-developed tools were utilized. Many publications have created extensions for commercial software. For instance, @Kohl.2014 developed an extension for the software PlantSimulation [-@SiemensDigitalIndustriesSoftware.15.03.2024] that maps measured load profiles to process states of manufacturing equipment. However, the implementation of the extension has not been published.
 
@@ -101,4 +101,4 @@ Additionally, Stoldt et al. [-@Stoldt.2021] identified some self-developed stand
 
 **Julian Belina**: Software, Writing, Visualization, Methodology. **Noah Pflugradt**: Conceptualization, Methodology, Supervision, Writing - Review & Editing. **Detlef Stolten**: Conceptualization, PhD Supervision, Resources, Funding acquisition. 
 
-# References
+# References