@misc{13678, abstract = {{The previous methodology for optimizing CO2 emissions and electricity costs in industrial applications is extended by integrating dynamic load shifting with battery energy storage. Building on earlier work that employed Mixed-Integer Linear Programming (MILP) to manage a stationary battery based on real-time electricity prices and CO2 intensity signals, two industrial machines and one electric vehicle (EV) are now incorporated as additional shiftable loads. These new elements introduce further operational constraints while enhancing energy management flexibility. The framework employs an adjustable weighting factor λ to balance environmental impact and cost, and comparative analyses across three scenarios—battery-only, load-shifting-only, and combined—demonstrate nearly additive CO2 reductions alongside non-additive cost improvements, underscoring the synergistic potential for environmental benefits despite diminishing cost returns. Moreover, validation against dynamic programming confirms the MILP approach’s accuracy and computational efficiency.}}, author = {{Mousavi, Seyed Davood and Schulte, Thomas}}, booktitle = {{2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)}}, keywords = {{Feeds, Antennas, System-on-chip, Application specific integrated circuits, Life cycle assessment, Product lifecycle management, Radio access networks, Regional area networks, Smart devices, OWL}}, location = {{Paris, France }}, publisher = {{IEEE}}, title = {{{Enhanced Dynamic Optimization for CO2 Reduction and Cost Savings through Load Shifting in Smart Factories}}}, doi = {{10.1109/icecet63943.2025.11472530}}, year = {{2026}}, } @misc{13706, abstract = {{Urban Nature-based Solutions (NBS) are hypothesized to play an important role in promoting health, but most of the evidence is cross-sectional. This study aims to examine the effects of an integrated urban intervention with NBS at its core, implemented in the Nantes Nord district on residents' physical activity, social activity, environmental quality of life and social network as well as self-rated health and mental health. Analysing 902 observations from 2 datasets, pre- and post-intervention, we categorized 802 participants within Nantes Nord as the treatment group and 100 from other districts as the control group. We used Propensity Score Matching to adjust for selection bias in the dataset and Difference-in-Differences analysis to evaluate changes in physical activity, socializing activities, social networks, environmental quality of life, as well as self-rated health and mental health outcomes. Our results indicate that the urban tranformation with NBS at its core was associated with a significant increase in physical activity levels and to some extent in social ties. However, no immediate improvements were noticeable in socializing activities, environmental quality of life, or health outcomes, suggesting a latency in the broader effects of such interventions. This study underscores the immediate effects of the integrated NBS intervention on physical activity as a precursor to potentially more significant health benefits, which should be followed up with a more mid-to-long-term evaluation of such NBS interventions. Our findings advocate for the integration of connected green space corridors in urban planning to facilitate active lifestyles as sustainable commitments by local authorities and stakeholders.}}, author = {{Cardinali, Marcel and Fleury-Bahi, Ghozlane and Sapin, Arnaud and Bodénan, Philippe and Bechet, Beatrice and Petrova, Milena Tasheva and Burov, Angel and Ferilli, Guido}}, booktitle = {{Quick And Easy Journal Title}}, keywords = {{NBS, green space, Health, urban transformation, Impact Assessment, Propensity, Score Matching}}, pages = {{In Press, Journal Pre--proof}}, publisher = {{Elsevier}}, title = {{{Evaluation of an Urban Nature-Based Solutions Intervention on Health-Related Indicators: A Propensity Score Matching and Difference-in- Differences Study in Nantes Nord}}}, doi = {{https://doi.org/10.1016/j.ufug.2026.129465}}, year = {{2026}}, } @misc{12733, abstract = {{Occupant satisfaction in office spaces is a critical factor influencing occupant’s productivity, satisfaction and overall workplace experience. This systematic review examines the methodologies and approaches used to assess occupant satisfaction with office space design, identifying key evaluation tools and research trends. The study explores the extent to which existing methodologies integrate environmental, spatial and design factors to provide a comprehensive understanding of user experience. Additionally, it highlights the limitations in current assessment tools, including the lack of standardised frameworks for capturing occupant feedback at different stages of the design process. The findings suggest a growing shift towards data-driven and real-time feedback mechanisms to enhance workplace adaptability. By synthesising existing research, this review aims to provide insights for designers, facility managers and policymakers to refine evaluation methods and integrate occupant-centric strategies into office space planning.}}, author = {{Dávalos Quevedo, María Victoria and Luna-Navarro, Alessandra and Pottgiesser, Uta and Blum, Ulrich}}, booktitle = {{Ergonomics}}, issn = {{1366-5847}}, keywords = {{Occupant satisfaction assessment, User-centered office design, Workplace experience, office environment evaluation}}, pages = {{1--21}}, publisher = {{Taylor & Francis}}, title = {{{Methods and approaches for evaluating occupant satisfaction with office space design: a systematic review}}}, doi = {{10.1080/00140139.2025.2480271}}, year = {{2025}}, } @misc{12402, abstract = {{In anaerobic technology, pH values are crucial for targeted volatile fatty acid production. While pH dynamics can be modeled using the Anaerobic Digestion Model No. 1 (ADM1), simulation results may be biased. To address this issue, the pH prediction routine of Visual Water, a specialized water chemistry simulator, was validated. Unlike ADM1, it accounts for ionic strength and activities while also providing an automated uncertainty analysis. The analysis revealed Visual Water simulations to better fit measured pH data from acidic solutions in a miniaturized stirred-tank reactor.}}, author = {{Kosse, Pascal and Hernández Rodriguez, Tanja and Frahm, Björn and Lübken, Manfred and Wichern, Marc}}, booktitle = {{Chemie Ingenieur Technik}}, issn = {{1522-2640}}, keywords = {{Anaerobic Digestion Model No. 1 (ADM1), Anaerobic technology, pH simulation, Uncertainty assessment, Visual Water}}, number = {{4}}, pages = {{528--534}}, publisher = {{Wiley}}, title = {{{Comparative Analysis of pH Prediction Routines in ADM1 and a Specialized Water Chemistry Simulator}}}, doi = {{10.1002/cite.202300188}}, volume = {{96}}, year = {{2024}}, } @misc{12788, abstract = {{The product environmental footprint (PEF) is one of two life cycle assessment methods from the European Commission. With their published recommendation on environmental footprint methods, the European Commission provides a framework to assess the PEF for every product in a company. Since there is a high probability that the PEF will be mandatory for companies shortly, it is crucial that this recommendation guides companies and mainly technical employees through all phases of the PEF and enables them to execute a PEF study correctly. Therefore, this paper aims to analyze the process of calculating a PEF for a product critically. A PEF study is conducted on a smart luminaire with the software program OpenLCA. The use case concludes that many aspects of the PEF still need to be clarified. Especially the calculation methods behind every impact category need to be more transparent. Further, a comparison of the use case with a provided tutorial from OpenLCA is made. The comparison shows that no information is available on how to model the end-of-life and the use stages, which are mandatory in a PEF study. (c) 2023 The Authors. Published by ELSEVIER B.V.}}, author = {{Mordaschew, Viktoria and Tackenberg, Sven}}, booktitle = {{5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)}}, editor = {{Longo, F. and Shen, W. and Padovano, A.}}, issn = {{1877-0509}}, keywords = {{Product Environmental Footprint, Life Cycle Assessment, Sustainability, Cyber-physical Systems}}, location = {{Lisbon, PORTUGAL}}, pages = {{493--503}}, publisher = {{Elsevier BV}}, title = {{{The Product Environmental Footprint – A Critical Review}}}, doi = {{10.1016/j.procs.2024.01.049}}, volume = {{232}}, year = {{2024}}, } @misc{12831, abstract = {{The overall Industry 4.0 developments and the highly dynamic threat landscape enhance the need for continuous security engineering of industrial components, modules, and systems. Security risk assessments play a major role to ensure a secure operation of Industrial Automation and Control Systems (IACSs) but are mostly neglected due to missing resources and a lack of human experts for the sophisticated manual tasks. Therefore, a method for information and process modelling regarding the automation of security risk assessments has been previously designed, but not yet evaluated. This work in progress begins the evaluation of the automated security risk assessment concept by investigating the related work and identifying the main deficits. The results include a requirements analysis for the verification and an outlook towards future evaluation aspects.}}, author = {{Ehrlich, Marco and Lukas, Georg and Trsek, Henning and Jasperneite, Jürgen and Kastner, Wolfgang and Diedrich, Christian}}, booktitle = {{2024 IEEE 20th International Conference on Factory Communication Systems (WFCS)}}, isbn = {{979-8-3503-1935-4}}, issn = {{2835-8511}}, keywords = {{Industry 4.0, Security, Risk Assessment, Automation, Requirements, Evaluation, Verification}}, location = {{Toulouse, FRANCE}}, pages = {{180--183}}, publisher = {{IEEE}}, title = {{{Requirements Analysis for the Evaluation of Automated Security Risk Assessments}}}, doi = {{10.1109/wfcs60972.2024.10540830}}, year = {{2024}}, } @misc{13224, abstract = {{This paper presents a robust methodology for optimizing CO2 emissions and electricity costs in industrial applications, with the aim of developing a flexible and dynamic energy management strategy that balances sustainability and cost-efficiency. Addressing the growing need for sustainable and economically viable energy solutions amidst the global urgency of climate change mitigation, the proposed approach is based on dynamic energy management techniques that minimize dependence on grid electricity, which can fluctuate between energy import and export. A flexible cost function is developed to simultaneously account for CO2 emissions and electricity prices, enabling a balance between environmental impact and operational costs. The optimization framework employs Mixed-Integer Linear Programming (MILP) to derive the optimal energy management strategy, showcasing significant potential for reducing both CO2 emissions and electricity costs. Although the methodology is demonstrated in a specific industrial setting, its flexible design ensures applicability across various energy profiles and operational scenarios, making it relevant for a wide range of industrial applications.}}, author = {{Mousavi, Seyed Davood and Griese, Martin and Schulte, Thomas}}, booktitle = {{2024 International Conference on Electrical and Computer Engineering Researches (ICECER)}}, keywords = {{CO2 Reduction, Electricity Cost Minimization, Life Cycle Assessment, MILP, Smart-E-Factory, Dynamic Energy Management}}, location = {{Gaborone, Botswana }}, publisher = {{IEEE}}, title = {{{Dynamic Optimization of CO2 Emissions and Electricity Costs in Smart Factories}}}, doi = {{10.1109/icecer62944.2024.10920418}}, year = {{2024}}, } @misc{13581, abstract = {{ObjectiveMany people, including patients with eating disorders (EDs), experience an increased urge for physical activity. "Trait"-like activity in patients with EDs is assessed by existing questionnaires, but there are few clinically validated assessments of a "state" urge to be physically active. Here, we developed and validated the State Urge to be Physically Active-Questionnaire (SUPA-Q). MethodsAfter developing and piloting the items, N = 126 patients with EDs (mostly anorexia nervosa and bulimia nervosa) took part in our mixed-longitudinal validation study with one primary assessment for all patients and a secondary assessment for a subsample of patients. Cronbach's & alpha; and split-half-methods served as measures of consistency and reliability. Correlations with other questionnaires were used to determine convergent and divergent validity, and confirmatory factor analysis was used for investigating factorial validity. We used paired-samples t-tests for repeated assessments to investigate change sensitivity. ResultsWe found the SUPA-Q to be highly consistent, and reliable and to demonstrate convergent, divergent, and factorial validity. The comparison of SUPA-Q scores from repeated assessments within a subsample of patients demonstrated the questionnaire's change sensitivity, Cohen's d = 0.48. Moreover, an increase in SUPA-Q scores was associated with a less positive mood, more anxiety, more body dissatisfaction, more tenseness, less feelings of control, and more stress. DiscussionThe newly developed SUPA-Q may help to accentuate the necessity to evaluate and address the acute urge to engage in physical activity in patients with EDs in clinical practice and ultimately support tailoring treatments to patients' unique symptom patterns. The questionnaire is available at .}}, author = {{Amin, Lina and Halbeisen, Georg and Braks, Karsten and Huber, Thomas J.J. and Paslakis, Georgios}}, booktitle = {{Brain and Behavior}}, issn = {{2162-3279}}, keywords = {{eating disorders, physical activity, psychopathology, psychotherapy, symptom assessment}}, number = {{10}}, publisher = {{Wiley}}, title = {{{The State Urge to be Physically Active-Questionnaire (SUPA-Q): Development and validation of a state measure of activity urges in patients with eating disorders}}}, doi = {{10.1002/brb3.3220}}, volume = {{13}}, year = {{2023}}, } @misc{11385, abstract = {{Accurate pH calculations are essential for scientists across different disciplines to design optimal reactor solutions, but they can be arduous to calculate for complex acid-base solutions. Visual Water is a powerful software tool that provides accurate pH calculations with automated mathematical uncertainty analysis. Its workflow is presented and validated using acids and bases, showing a deviation of < 0.2 pH units between measured and calculated pH values. This highlights the software's reliability, which can help to simplify the work of non-experts in water chemistry.}}, author = {{Kosse, Pascal and Hernández Rodriguez, Tanja and Frahm, Björn and Lübken, Manfred and Wichern, Marc}}, booktitle = {{Chemie Ingenieur Technik}}, issn = {{1522-2640}}, keywords = {{Acid-base equilibria, Carboxylic acids, Dissociation constants, pH calculation software, Uncertainty assessment}}, number = {{12}}, pages = {{1960--1969}}, publisher = {{Wiley}}, title = {{{Validation and Uncertainty Assessment of a Software‐Integrated Workflow for pH Calculations}}}, doi = {{10.1002/cite.202300082}}, volume = {{95}}, year = {{2023}}, } @misc{12875, abstract = {{Manufacturing systems based on Industry 4.0 concepts provide a greater availability of data and have modular characteristics enabling frequent changes. This raises the need for new security engineering concepts that cover the increasing complexity and frequency of mandatory security risk assessments. In contrast, the current standardization landscape used for the assessment of these systems only offers abstract, static, manual, and resource-intensive procedures. Therefore, this work proposes a method that further specifies the IEC 62443 aiming to automate the security risk assessments in such a way that manual efforts can be reduced and a consistent quality can be achieved. The methodology is presented using network segmentation as a guiding example and consists of four main steps: Information collection based on a process analysis, information formalisation with a semi-formal model, information usage applying first order logic to extract expert knowledge, and information access using the concept of the digital twin. In addition, the applicability of the IEC 62443 standard to the risk assessment of modular manufacturing systems is evaluated.}}, author = {{Ehrlich, Marco and Bröring, Andre and Diedrich, Christian and Jasperneite, Jürgen}}, booktitle = {{Automatisierungstechnik : AT }}, issn = {{2196-677X}}, keywords = {{sasset administration shell, automation, information model, modular manufacturing system, risk assessment, security}}, number = {{6}}, pages = {{453--466}}, publisher = {{Walter de Gruyter GmbH}}, title = {{{Towards automated risk assessments for modular manufacturing systems}}}, doi = {{10.1515/auto-2022-0098}}, volume = {{71}}, year = {{2023}}, } @article{9356, abstract = {{In today’s manufacturing industry, enterprise-resource-planning (ERP) systems reach their limit when planning and scheduling production subject to multiple objectives and constraints. Advanced planning and scheduling (APS) systems provide these capabilities and are an extension for ERP systems. However, when integrating an APS and ERP system, the ERP data frequently lacks quality, hindering the APS system from working as required. This paper introduces a data quality (DQ) assessment framework that employs a Bayesian Network (BN) to perform quick DQ assessments based on expert interviews and DQ measurements with actual ERP data. We explain the BN’s functionality, design, and validation and show how using the perceived DQ of experts and a semi-supervised learning algorithm improves the BN’s predictions over time. We discuss applying our framework in an APS system implementation project involving an APS system provider and a medium-sized manufacturer of hydraulic cylinders. Despite considering the DQ assessment framework in such a specific context, it is not restricted to a particular domain. We close by discussing the framework’s limits, particularly the BN as a DQ assessment methodology and future works to improve its performance.}}, author = {{Herrmann, Jan-Phillip and Tackenberg, Sven and Padoano, Elio and Hartlief, Jörg and Rautenstengel, Jens and Loeser, Christine and Böhme, Jörg }}, issn = {{1877-0509 }}, journal = {{Procedia Computer Science}}, keywords = {{Data Quality Assessment, Advanced Planning, Scheduling, Bayesian Network, Enterprise Resource Planning}}, pages = {{194--204}}, publisher = {{Elsevier}}, title = {{{An ERP Data Quality Assessment Framework for the Implementation of an APS system using Bayesian Networks}}}, doi = {{https://doi.org/10.1016/j.procs.2022.01.218}}, volume = {{200}}, year = {{2022}}, } @misc{11290, abstract = {{This paper aims to demonstrate and discuss how social media data may serve to elucidate and determine landscape scenic values for planning purposes. Analysing landscape perception by em-ploying social media data has the potential to be an efficient and effective way of integrating infor-mation on public landscape perception into planning practice. The paper presents a GIS-based approach to landscape quality assessment that includes data harvested from social media. The approach was de-veloped to be used for planning purposes at a variety of different scales. }}, author = {{Kaußen, Lucas and Stemmer, Boris and Bernstein, Franziska}}, booktitle = {{Journal of Digital Landscape Architecture}}, isbn = {{978-3-87907-705-2}}, issn = {{2511-624X }}, keywords = {{Landscape, assessment, social-media, social-media-harvesting, landscape scenic value}}, location = {{Dessau; Köthen; Bernburg}}, pages = {{295--305}}, publisher = {{Wichmann Verlag}}, title = {{{GIS-Landscape Quality Assessment Using Social Media Data}}}, doi = {{10.14627/537705026}}, volume = {{6}}, year = {{2021}}, } @misc{12239, abstract = {{The modelling community has identified challenges for the integration and assessment of lake models due to the diversity of modelling approaches and lakes. In this study, we develop and assess a one-dimensional lake model and apply it to 32 lakes from a global observatory network. The data set included lakes over broad ranges in latitude, climatic zones, size, residence time, mixing regime and trophic level. Model performance was evaluated using several error assessment metrics, and a sensitivity analysis was conducted for nine parameters that governed the surface heat exchange and mixing efficiency. There was low correlation between input data uncertainty and model performance and predictions of temperature were less sensitive to model parameters than prediction of thermocline depth and Schmidt stability. The study provides guidance to where the general model approach and associated assumptions work, and cases where adjustments to model parameterisations and/or structure are required.}}, author = {{Bruce, Louise C. and Frassl, Marieke A. and Arhonditsis, George B. and Gal, Gideon and Hamilton, David P. and Hanson, Paul C. and Hetherington, Amy L. and Melack, John M. and Read, Jordan S. and Rinke, Karsten and Rigosi, Anna and Trolle, Dennis and Winslow, Luke and Adrian, Rita and Ayala, Ana I. and Bocaniov, Serghei A. and Boehrer, Bertram and Boon, Casper and Brookes, Justin D. and Bueche, Thomas and Busch, Brendan D. and Copetti, Diego and Cortés, Alicia and de Eyto, Elvira and Elliott, J. Alex and Gallina, Nicole and Gilboa, Yael and Guyennon, Nicolas and Huang, Lei and Kerimoglu, Onur and Lenters, John D. and MacIntyre, Sally and Makler-Pick, Vardit and McBride, Chris G. and Moreira, Santiago and Özkundakci, Deniz and Pilotti, Marco and Rueda, Francisco J. and Rusak, James A. and Samal, Nihar R. and Schmid, Martin and Shatwell, Tom and Snorthheim, Craig and Soulignac, Frédéric and Valerio, Giulia and van der Linden, Leon and Vetter, Mark and Vinçon-Leite, Brigitte and Wang, Junbo and Weber, Michael and Wickramaratne, Chaturangi and Woolway, R. Iestyn and Yao, Huaxia and Hipsey, Matthew R.}}, booktitle = {{Environmental modelling & software with environment data news }}, issn = {{1873-6726}}, keywords = {{Lake model, Stratification, GLM, Model assessment, Global observatory data, Network science}}, number = {{4}}, pages = {{274--291}}, publisher = {{Elsevier Science}}, title = {{{A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network}}}, doi = {{10.1016/j.envsoft.2017.11.016}}, volume = {{102}}, year = {{2018}}, } @inproceedings{588, abstract = {{While common measurement techniques like gloss or color measurement are widely used in industry for quality assessment of furniture high gloss surfaces, they indicate only a weak correlation to the quality perceived by the customer. Topography based approaches achieve higher correlation to human perception but are often based on linear measurement which cannot be applied for an overall assessment of larger surfaces. Thus an algorithm was developed to calculate a specific value based on topographic features, such as orange peel, within the research project ‘Development of a comprehensive quality concept for furniture high gloss surfaces’, funded by the federal Ministry of Education and Research. For the evaluation of short waved structures on furniture high gloss surfaces the ratio of hill height to hill area was chosen. This parameter proves to be applicable for an evaluation of the extent of a single. }}, author = {{Huxol, Andrea and Riegel, Adrian and Dekomien, Kerstin}}, booktitle = {{Production Engineering and Management}}, editor = {{Padoano, Elio and Villmer, Franz-Josef}}, isbn = {{978-3-941645-11-0}}, keywords = {{High gloss, surface measurement, topographic features, quality assessment}}, location = {{Trieste, Italy}}, number = {{1}}, pages = {{99--110}}, title = {{{Development of an Algorithm for Measuring the Quality of High Gloss Surfaces Correlated to Human Perception}}}, year = {{2015}}, }