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X-WR-CALNAME:PHD in Industrial Engineering
X-ORIGINAL-URL:https://academics.dii.unipd.it/phd
X-WR-CALDESC:Events for PHD in Industrial Engineering
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DTSTART:20250101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260416T080000
DTEND;TZID=UTC:20260417T170000
DTSTAMP:20260411T040915
CREATED:20210915T052505Z
LAST-MODIFIED:20260302T163749Z
UID:2269-1776326400-1776445200@academics.dii.unipd.it
SUMMARY:Advanced Modeling and Optimization of Multi-Energy Systems for a Decarbonized Future
DESCRIPTION:Course unit contentsThe course addresses the critical challenge of optimally integrating new renewable energy units into existing energy systems and networks to drive the transition toward a decarbonized future. It focuses on the concept of “Multi-Energy Systems” (MES)\, where different energy carriers interact to increase system flexibility and accommodate higher shares of renewable energy. These interactions occur through various energy conversion\, storage\, and consumption units. Shifting the approach from optimizing individual units as separate entities to optimizing the design and operation of an MES as a whole is pivotal to achieving greener energy systems in a more cost-effective\, efficient\, and environmentally friendly manner. \nThe course is organized into three 5-hour modules and combines classroom lectures with practical\, computer-based sessions. \n\nModule 1: Introduction to the concept of Multi-Energy Systems. Modeling of MES components\, including energy conversion units\, storage systems\, and energy demands. Derivation of linear models for MES components. Fundamentals of variable and equation structures in Python\, followed by the practical implementation of these models in a Python environment.\nModule 2: Introduction to engineering optimization and optimization algorithms. Formulation of the Synthesis\, Design\, and Operation (SDO) optimization problem for an MES\, including deterministic optimization approaches and the coupling between energy demand and availability curves. Definition of objective functions to maximize energy savings\, cost-effectiveness\, and environmental benefits\, concluding with a discussion of real-world applications.\nModule 3: Integration of individual MES component models into a comprehensive optimization model for the entire system. Fundamentals of structuring decision variables\, constraints\, objective functions\, and optimization algorithms using the Gurobi solver. Practical examples of design and operation optimization for an MES within a Python-Gurobi environment.\n\nLearning goalsUpon successful completion of this course\, students will be able to understand the general modeling features of energy systems of varying complexity\, grasp the fundamental principles of energy system optimization\, implement these optimization models within a Python-Gurobi environment\, and critically analyze the results obtained from practical implementations. \nSuggested readings\nBejan A.\, Tsatsaronis G. & Moran M.J. (1995). Thermal design and optimization. New York: John Wiley & SonsLibro \n\nRao S.S.\, Engineering optimization: theory and practice. New York: John Wiley & Sons\, 2019 \n\nRavindran A.\, Reklaitis G.V. & Ragsdell K.M. (2006). Engineering optimization: methods and applications. John Wiley & Sons \n\nRech S.\, & Lazzaretto A. (2018). Smart rules and thermal\, electric and hydro storages for the optimum operation of a renewable energy system. Energy\, 147\, 742-756 \n\nRech S. (2019). Smart energy systems: Guidelines for modelling and optimizing a fleet of units of different configurations. Energies\, 12(7)\, 1320 \n\nDal Cin E.\, Carraro G.\, Volpato G.\, Lazzaretto A.\, & Tsatsaronis G. (2025). DOMES: A general optimization method for the integrated design of energy conversion\, storage and networks in multi-energy systems. Applied Energy\, 377\, 124702
URL:https://academics.dii.unipd.it/phd/event/english-seminar-2/
LOCATION:Sede-V\, via Venezia 1\, Padova\, Padova\, 35131\, Italy
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://academics.dii.unipd.it/phd/wp-content/uploads/sites/58/2026/03/CDII-energy-1-scaled.png
ORGANIZER;CN="PhD Course in Industrial Engineering":MAILTO:dottorato.dii@unipd.it
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DTSTART;TZID=UTC:20260701T080000
DTEND;TZID=UTC:20260701T170000
DTSTAMP:20260411T040916
CREATED:20160316T115245Z
LAST-MODIFIED:20260302T162957Z
UID:618-1782892800-1782925200@academics.dii.unipd.it
SUMMARY:Bibliographic resources and research tools for PHD students in Industrial Engineering
DESCRIPTION:Course unit contentsModule 1 (4 hours): \n\nLibrary Services: Overview of engineering libraries and their services\, including local and interlibrary loans\, document delivery\, bibliographic references\, and book purchase proposals.\nSearch Tools: Introduction to GalileoDiscovery\, the University of Padua’s official library search tool.\nSpecialized Databases: Navigation of key engineering\, economics\, and management databases (e.g.\, BSC\, IEEE Xplore\, Engineering Village\, Reaxys\, ACM Digital Library\, ASTM Compass\, DieselNET\, Total Materia\, and BSOL).\nCitation Databases: Utilization of major citation databases\, specifically Scopus (Elsevier) and Web of Science (ISI).\nBibliometrics: Understanding bibliometric indicators and the metrics used for evaluating the quality of scientific publications.\n\nModule 2 (4 hours\, divided into two lessons): \nLesson 1: Publishing and Open Science (2 hours) \n\nAcademic publishing and Open Access\, featuring the Padua Research Archive (PRA/IRIS) as the institutional repository for academic research.\nOpen Science and data management\, including Research Data Unipd\, the institutional repository for research outputs.\n\nLesson 2: Reference Management (2 hours) \n\nFundamentals of bibliographic citations and citation styles.\nPractical reference management\, featuring an introduction to the Zotero software.\n\nLearning goalsUpon completion of the course\, doctoral students will be familiar with the services of the SBA libraries\, tools for bibliographic research\, and the cycle of scientific publishing\, including open science. \n\nEngineering Central Library – University of Padova website: http://biblioingegneriacentrale.cab.unipd.it/ \n\nUniversity Library System website: https://bibliotecadigitale.cab.unipd.it/en specially about Open Science\, Open Access\, Open Data\, Metrics. . . https://bibliotecadigitale.cab.unipd.it/en/digital-library/about-publishing \n\nThe Principles of Open Scholarly Infrastructure https://openscholarlyinfrastructure.org/ \n\nAliprandi\, Simone\, and Simone Aliprandi. Fare open access: la libera diffusione del sapere scientifico nell’era digitale. Ledizioni\, 2017. \n\nCapaccioni\, Andrea\, et al. Ricerche bibliografiche: banche dati e biblioteche in rete. 2. ed\, Maggioli\, 2018. \n\nTurbanti\, Simona. Strumenti di misurazione della ricerca: dai database citazionali alle metriche del web. Editrice Bibliografica\, 2018.
URL:https://academics.dii.unipd.it/phd/event/business-seminar/
LOCATION:Sede-V\, via Venezia 1\, Padova\, Padova\, 35131\, Italy
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://academics.dii.unipd.it/phd/wp-content/uploads/sites/58/2026/03/CDII-biblio-1-scaled.png
ORGANIZER;CN="PhD Course in Industrial Engineering":MAILTO:dottorato.dii@unipd.it
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DTSTART;TZID=UTC:20260901T080000
DTEND;TZID=UTC:20260902T170000
DTSTAMP:20260411T040916
CREATED:20171114T152023Z
LAST-MODIFIED:20260302T164013Z
UID:1861-1788249600-1788368400@academics.dii.unipd.it
SUMMARY:Student Fund Raiser
DESCRIPTION:Stories are powerful marketing toolsLorem ipsum dolor sit amet\, consectetur adipiscing elit\, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam\, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident\, sunt in culpa qui officia deserunt mollit id est laborum. \nSed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium\, totam rem aperiam\, eaque ipsa quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt explicabo. Nemo enim ipsam voluptatem quia voluptas sit aspernatur aut odit aut fugit\, sed quia consequuntur magni dolores eos qui ratione voluptatem sequi nesciunt. Neque porro quisquam est\, qui dolorem ipsum quia sit amet. \nIt’s as ancient as we areSed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium\, totam rem aperiam\, eaque ipsa quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt explicabo. Nemo enim ipsam voluptatem quia voluptas sit aspernatur aut odit aut fugit\, sed quia consequuntur magni dolores eos qui ratione voluptatem sequi nesciunt. \n\nLorem ipsum dolor sit amet\, consectetuer adipiscing elit. \n\nAliquam tincidunt mauris ficilis eu risus. \n\nVestibulum auctor dapibus et ons neque. \nVestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia Curae; Duis quis suscipit metus. Praesent suscipit purus nec efficitur interdum. Morbi eget vulputate massa. Etiam consequat dolor eget maximus dapibus. Ut tellus dolor\, dignissim sed sagittis sit amet\, vehicula non dui.
URL:https://academics.dii.unipd.it/phd/event/student-fund-raiser/
LOCATION:Sede-V\, via Venezia 1\, Padova\, Padova\, 35131\, Italy
CATEGORIES:Event
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