[{"keyword":["Feeds","Antennas","System-on-chip","Application specific integrated circuits","Life cycle assessment","Product lifecycle management","Radio access networks","Regional area networks","Smart devices","OWL"],"conference":{"name":"5th International Conference on Electrical, Computer and Energy Technologies (ICECET)","end_date":"2025-07-06","start_date":"2025-07-03","location":"Paris, France "},"abstract":[{"lang":"eng","text":"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."}],"department":[{"_id":"DEP6020"},{"_id":"DEP5022"}],"corporate_editor":["University of Buner, Pakistan; Altinbas University, Türkiye","ICECCE"],"user_id":"83781","year":"2026","status":"public","doi":"10.1109/icecet63943.2025.11472530","date_updated":"2026-04-13T09:32:58Z","type":"conference_editor_article","publisher":"IEEE","_id":"13678","publication":"2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)","title":"Enhanced Dynamic Optimization for CO2 Reduction and Cost Savings through Load Shifting in Smart Factories","publication_identifier":{"eisbn":["979-8-3315-3559-9"]},"author":[{"id":"79148","last_name":"Mousavi","full_name":"Mousavi, Seyed Davood","first_name":"Seyed Davood"},{"first_name":"Thomas","full_name":"Schulte, Thomas","id":"46242","last_name":"Schulte"}],"language":[{"iso":"eng"}],"date_created":"2026-04-10T07:15:51Z","publication_status":"published","place":"[Piscataway, NJ]","citation":{"ieee":"S. D. Mousavi and T. Schulte, <i>Enhanced Dynamic Optimization for CO2 Reduction and Cost Savings through Load Shifting in Smart Factories</i>. [Piscataway, NJ]: IEEE, 2026. doi: <a href=\"https://doi.org/10.1109/icecet63943.2025.11472530\">10.1109/icecet63943.2025.11472530</a>.","ama":"Mousavi SD, Schulte T. <i>Enhanced Dynamic Optimization for CO2 Reduction and Cost Savings through Load Shifting in Smart Factories</i>. (University of Buner, Pakistan; Altinbas University, Türkiye, ICECCE, eds.). IEEE; 2026. doi:<a href=\"https://doi.org/10.1109/icecet63943.2025.11472530\">10.1109/icecet63943.2025.11472530</a>","van":"Mousavi SD, Schulte T. Enhanced Dynamic Optimization for CO2 Reduction and Cost Savings through Load Shifting in Smart Factories. University of Buner, Pakistan; Altinbas University, Türkiye, ICECCE, editors. 2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET). [Piscataway, NJ]: IEEE; 2026.","bjps":"<b>Mousavi SD and Schulte T</b> (2026) <i>Enhanced Dynamic Optimization for CO2 Reduction and Cost Savings through Load Shifting in Smart Factories</i>, University of Buner, Pakistan; Altinbas University, Türkiye and ICECCE (eds). [Piscataway, NJ]: IEEE.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Mousavi, Seyed Davood</span> ; <span style=\"font-variant:small-caps;\">Schulte, Thomas</span> ; <span style=\"font-variant:small-caps;\">University of Buner, Pakistan; Altinbas University, Türkiye</span> ; <span style=\"font-variant:small-caps;\">ICECCE</span> (Hrsg.): <i>Enhanced Dynamic Optimization for CO2 Reduction and Cost Savings through Load Shifting in Smart Factories</i>. [Piscataway, NJ] : IEEE, 2026","chicago":"Mousavi, Seyed Davood, and Thomas Schulte. <i>Enhanced Dynamic Optimization for CO2 Reduction and Cost Savings through Load Shifting in Smart Factories</i>. Edited by University of Buner, Pakistan; Altinbas University, Türkiye and ICECCE. <i>2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)</i>. [Piscataway, NJ]: IEEE, 2026. <a href=\"https://doi.org/10.1109/icecet63943.2025.11472530\">https://doi.org/10.1109/icecet63943.2025.11472530</a>.","havard":"S.D. Mousavi, T. Schulte, Enhanced Dynamic Optimization for CO2 Reduction and Cost Savings through Load Shifting in Smart Factories, IEEE, [Piscataway, NJ], 2026.","short":"S.D. Mousavi, T. Schulte, Enhanced Dynamic Optimization for CO2 Reduction and Cost Savings through Load Shifting in Smart Factories, IEEE, [Piscataway, NJ], 2026.","apa":"Mousavi, S. D., &#38; Schulte, T. (2026). Enhanced Dynamic Optimization for CO2 Reduction and Cost Savings through Load Shifting in Smart Factories. In University of Buner, Pakistan; Altinbas University, Türkiye &#38; ICECCE (Eds.), <i>2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)</i>. IEEE. <a href=\"https://doi.org/10.1109/icecet63943.2025.11472530\">https://doi.org/10.1109/icecet63943.2025.11472530</a>","mla":"Mousavi, Seyed Davood, and Thomas Schulte. “Enhanced Dynamic Optimization for CO2 Reduction and Cost Savings through Load Shifting in Smart Factories.” <i>2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)</i>, edited by University of Buner, Pakistan; Altinbas University, Türkiye and ICECCE, IEEE, 2026, <a href=\"https://doi.org/10.1109/icecet63943.2025.11472530\">https://doi.org/10.1109/icecet63943.2025.11472530</a>.","ufg":"<b>Mousavi, Seyed Davood/Schulte, Thomas</b>: Enhanced Dynamic Optimization for CO2 Reduction and Cost Savings through Load Shifting in Smart Factories, hg. von University of Buner, Pakistan; Altinbas University, Türkiye, ICECCE, [Piscataway, NJ] 2026.","chicago-de":"Mousavi, Seyed Davood und Thomas Schulte. 2026. <i>Enhanced Dynamic Optimization for CO2 Reduction and Cost Savings through Load Shifting in Smart Factories</i>. Hg. von University of Buner, Pakistan; Altinbas University, Türkiye und ICECCE. <i>2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)</i>. [Piscataway, NJ]: IEEE. doi:<a href=\"https://doi.org/10.1109/icecet63943.2025.11472530\">10.1109/icecet63943.2025.11472530</a>, ."}},{"citation":{"short":"S.D. Mousavi, M. Griese, T. Schulte, Dynamic Optimization of CO<sub>2</sub> Emissions and Electricity Costs in Smart Factories, IEEE, [Piscataway, NJ], 2024.","apa":"Mousavi, S. D., Griese, M., &#38; Schulte, T. (2024). Dynamic Optimization of CO<sub>2</sub> Emissions and Electricity Costs in Smart Factories. In <i>2024 International Conference on Electrical and Computer Engineering Researches (ICECER)</i>. 2024 International Conference on Electrical and Computer Engineering Researches (ICECER), Gaborone, Botswana . IEEE. <a href=\"https://doi.org/10.1109/icecer62944.2024.10920418\">https://doi.org/10.1109/icecer62944.2024.10920418</a>","mla":"Mousavi, Seyed Davood, et al. “Dynamic Optimization of CO<sub>2</sub> Emissions and Electricity Costs in Smart Factories.” <i>2024 International Conference on Electrical and Computer Engineering Researches (ICECER)</i>, IEEE, 2024, <a href=\"https://doi.org/10.1109/icecer62944.2024.10920418\">https://doi.org/10.1109/icecer62944.2024.10920418</a>.","ufg":"<b>Mousavi, Seyed Davood/Griese, Martin/Schulte, Thomas</b>: Dynamic Optimization of CO<sub>2</sub> Emissions and Electricity Costs in Smart Factories, [Piscataway, NJ] 2024.","chicago-de":"Mousavi, Seyed Davood, Martin Griese und Thomas Schulte. 2024. <i>Dynamic Optimization of CO<sub>2</sub> Emissions and Electricity Costs in Smart Factories</i>. <i>2024 International Conference on Electrical and Computer Engineering Researches (ICECER)</i>. [Piscataway, NJ]: IEEE. doi:<a href=\"https://doi.org/10.1109/icecer62944.2024.10920418\">10.1109/icecer62944.2024.10920418</a>, .","havard":"S.D. Mousavi, M. Griese, T. Schulte, Dynamic Optimization of CO<sub>2</sub> Emissions and Electricity Costs in Smart Factories, IEEE, [Piscataway, NJ], 2024.","bjps":"<b>Mousavi SD, Griese M and Schulte T</b> (2024) <i>Dynamic Optimization of CO<sub>2</sub> Emissions and Electricity Costs in Smart Factories</i>. [Piscataway, NJ]: IEEE.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Mousavi, Seyed Davood</span> ; <span style=\"font-variant:small-caps;\">Griese, Martin</span> ; <span style=\"font-variant:small-caps;\">Schulte, Thomas</span>: <i>Dynamic Optimization of CO<sub>2</sub> Emissions and Electricity Costs in Smart Factories</i>. [Piscataway, NJ] : IEEE, 2024","chicago":"Mousavi, Seyed Davood, Martin Griese, and Thomas Schulte. <i>Dynamic Optimization of CO<sub>2</sub> Emissions and Electricity Costs in Smart Factories</i>. <i>2024 International Conference on Electrical and Computer Engineering Researches (ICECER)</i>. [Piscataway, NJ]: IEEE, 2024. <a href=\"https://doi.org/10.1109/icecer62944.2024.10920418\">https://doi.org/10.1109/icecer62944.2024.10920418</a>.","ieee":"S. D. Mousavi, M. Griese, and T. Schulte, <i>Dynamic Optimization of CO<sub>2</sub> Emissions and Electricity Costs in Smart Factories</i>. [Piscataway, NJ]: IEEE, 2024. doi: <a href=\"https://doi.org/10.1109/icecer62944.2024.10920418\">10.1109/icecer62944.2024.10920418</a>.","van":"Mousavi SD, Griese M, Schulte T. Dynamic Optimization of CO<sub>2</sub> Emissions and Electricity Costs in Smart Factories. 2024 International Conference on Electrical and Computer Engineering Researches (ICECER). [Piscataway, NJ]: IEEE; 2024.","ama":"Mousavi SD, Griese M, Schulte T. <i>Dynamic Optimization of CO<sub>2</sub> Emissions and Electricity Costs in Smart Factories</i>. IEEE; 2024. doi:<a href=\"https://doi.org/10.1109/icecer62944.2024.10920418\">10.1109/icecer62944.2024.10920418</a>"},"place":"[Piscataway, NJ]","publication_status":"published","language":[{"iso":"eng"}],"publisher":"IEEE","date_created":"2025-09-29T09:36:25Z","type":"conference_editor_article","author":[{"first_name":"Seyed Davood","full_name":"Mousavi, Seyed Davood","last_name":"Mousavi","id":"79148"},{"full_name":"Griese, Martin","id":"52308","last_name":"Griese","first_name":"Martin"},{"first_name":"Thomas","full_name":"Schulte, Thomas","id":"46242","last_name":"Schulte"}],"date_updated":"2025-10-06T13:05:59Z","doi":"10.1109/icecer62944.2024.10920418","title":"Dynamic Optimization of CO<sub>2</sub> Emissions and Electricity Costs in Smart Factories","status":"public","publication":"2024 International Conference on Electrical and Computer Engineering Researches (ICECER)","year":"2024","user_id":"83781","department":[{"_id":"DEP6020"},{"_id":"DEP5022"}],"abstract":[{"text":"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.","lang":"eng"}],"conference":{"location":"Gaborone, Botswana ","name":"2024 International Conference on Electrical and Computer Engineering Researches (ICECER)","end_date":"2024-12-06","start_date":"2024-12-04"},"_id":"13224","keyword":["CO2 Reduction","Electricity Cost Minimization","Life Cycle Assessment","MILP","Smart-E-Factory","Dynamic Energy Management"]},{"place":"Amsterdam","citation":{"ufg":"<b>Mordaschew, Viktoria/Tackenberg, Sven</b>: The Product Environmental Footprint – A Critical Review, Bd. 232, hg. von Longo, F./Shen, W./Padovano, A., Amsterdam 2024 (Procedia Computer Science).","chicago-de":"Mordaschew, Viktoria und Sven Tackenberg. 2024. <i>The Product Environmental Footprint – A Critical Review</i>. Hg. von F. Longo, W. Shen, und A. Padovano. <i>5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)</i>. Bd. 232. Procedia Computer Science. Amsterdam: Elsevier BV. doi:<a href=\"https://doi.org/10.1016/j.procs.2024.01.049\">10.1016/j.procs.2024.01.049</a>, .","short":"V. Mordaschew, S. Tackenberg, The Product Environmental Footprint – A Critical Review, Elsevier BV, Amsterdam, 2024.","apa":"Mordaschew, V., &#38; Tackenberg, S. (2024). The Product Environmental Footprint – A Critical Review. In F. Longo, W. Shen, &#38; A. Padovano (Eds.), <i>5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)</i> (Vol. 232, pp. 493–503). Elsevier BV. <a href=\"https://doi.org/10.1016/j.procs.2024.01.049\">https://doi.org/10.1016/j.procs.2024.01.049</a>","mla":"Mordaschew, Viktoria, and Sven Tackenberg. “The Product Environmental Footprint – A Critical Review.” <i>5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)</i>, edited by F. Longo et al., vol. 232, Elsevier BV, 2024, pp. 493–503, <a href=\"https://doi.org/10.1016/j.procs.2024.01.049\">https://doi.org/10.1016/j.procs.2024.01.049</a>.","havard":"V. Mordaschew, S. Tackenberg, The Product Environmental Footprint – A Critical Review, Elsevier BV, Amsterdam, 2024.","chicago":"Mordaschew, Viktoria, and Sven Tackenberg. <i>The Product Environmental Footprint – A Critical Review</i>. Edited by F. Longo, W. Shen, and A. Padovano. <i>5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)</i>. Vol. 232. Procedia Computer Science. Amsterdam: Elsevier BV, 2024. <a href=\"https://doi.org/10.1016/j.procs.2024.01.049\">https://doi.org/10.1016/j.procs.2024.01.049</a>.","bjps":"<b>Mordaschew V and Tackenberg S</b> (2024) <i>The Product Environmental Footprint – A Critical Review</i>, Longo F, Shen W and Padovano A (eds). Amsterdam: Elsevier BV.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Mordaschew, Viktoria</span> ; <span style=\"font-variant:small-caps;\">Tackenberg, Sven</span> ; <span style=\"font-variant:small-caps;\">Longo, F.</span> ; <span style=\"font-variant:small-caps;\">Shen, W.</span> ; <span style=\"font-variant:small-caps;\">Padovano, A.</span> (Hrsg.): <i>The Product Environmental Footprint – A Critical Review</i>, <i>Procedia Computer Science</i>. Bd. 232. Amsterdam : Elsevier BV, 2024","van":"Mordaschew V, Tackenberg S. The Product Environmental Footprint – A Critical Review. Longo F, Shen W, Padovano A, editors. 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM). Amsterdam: Elsevier BV; 2024. (Procedia Computer Science; vol. 232).","ama":"Mordaschew V, Tackenberg S. <i>The Product Environmental Footprint – A Critical Review</i>. Vol 232. (Longo F, Shen W, Padovano A, eds.). Elsevier BV; 2024:493-503. doi:<a href=\"https://doi.org/10.1016/j.procs.2024.01.049\">10.1016/j.procs.2024.01.049</a>","ieee":"V. Mordaschew and S. Tackenberg, <i>The Product Environmental Footprint – A Critical Review</i>, vol. 232. Amsterdam: Elsevier BV, 2024, pp. 493–503. doi: <a href=\"https://doi.org/10.1016/j.procs.2024.01.049\">10.1016/j.procs.2024.01.049</a>."},"language":[{"iso":"eng"}],"date_created":"2025-04-15T08:01:11Z","publication_status":"published","volume":232,"author":[{"first_name":"Viktoria","id":"79005","last_name":"Mordaschew","full_name":"Mordaschew, Viktoria"},{"first_name":"Sven","full_name":"Tackenberg, Sven","last_name":"Tackenberg","id":"71470"}],"intvolume":"       232","publication_identifier":{"issn":["1877-0509"]},"title":"The Product Environmental Footprint – A Critical Review","publication":"5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)","series_title":"Procedia Computer Science","_id":"12788","publisher":"Elsevier BV","editor":[{"last_name":"Longo","full_name":"Longo, F.","first_name":"F."},{"first_name":"W.","last_name":"Shen","full_name":"Shen, W."},{"first_name":"A.","full_name":"Padovano, A.","last_name":"Padovano"}],"type":"conference_editor_article","doi":"10.1016/j.procs.2024.01.049","date_updated":"2025-06-25T12:43:49Z","status":"public","user_id":"83781","year":"2024","department":[{"_id":"DEP7020"}],"abstract":[{"lang":"eng","text":"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."}],"page":"493-503","conference":{"name":"5th International Conference on Industry 4.0 and Smart Manufacturing (ISM)","start_date":"2023-11-22","end_date":"2023-11-24","location":"Lisbon, PORTUGAL"},"keyword":["Product Environmental Footprint","Life Cycle Assessment","Sustainability","Cyber-physical Systems"]}]