| 10596228 | SCIENZE DELLA SOSTENIBILITA' IN INGEGNERIA [ING-IND/11, ICAR/05, IUS/10, ICAR/01, BIO/07, ING-IND/29] [ITA] | 3rd | 2nd | 6 |
Educational objectives Objectives
This module intends to provide the student with the basis of the scientific study of the relationships between organisms and the environment, and between different organisms, in the context of the ecosystem in its living (biotic) and physical (abiotic) components.
Furthermore, it is intended to prepare the student for the application of ecological principles in the management of natural resources and Ecosystem Services with an approach aimed at enhancing sustainable development in a context of Global Change (climate change, environmental pollution, land use change). . This knowledge was aimed at the use of experimental models and methodologies for the analysis, monitoring, management and restoration of degraded natural ecosystems. These issues fall within the scope of European Directives, International Conventions and Protocols on environmental matters, for the conservation of Biodiversity, Natural Capital, Ecosystem Services and the promotion of Nature-Based Solutions.
Knowledge and understanding
Evaluate, through an experimental approach conducted at a different spatial-temporal scale, the provision of ecosystem services for regulation, procurement and cultural, in natural, urban and agricultural territorial areas.
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| THREE-DIMENSIONAL MODELING [ING-IND/11] [ITA] | 3rd | 2nd | 1 |
Educational objectives L’insegnamento è finalizzato all’acquisizione di una conoscenza di base sul tema della transizione energetica e delle tecnologie da utilizzare nel processo di decarbonizzazione imposto dalla Comunità Europea. In particolare si affronteranno i target previsti al 2030 per il risparmio energetico, per l’efficienza energetica e per le fonti di energia rinnovabili. Verranno esaminate le tecnologie più comuni, le loro caratteristiche funzionali, le problematiche relative al loro inserimento nel tessuto urbano, i criteri di scelta tecnico-economica tra le alternative possibili, la loro dislocazione e gli aspetti relativi agli incentivi economici. Saranno infine analizzati i collegamenti del tema energia con gli aspetti rilevanti, sociali, economici, ambientali.
Costituiscono argomenti dell’insegnamento:
- il PNRR del Next generation EU, il Piano di Azione per l'Energia e il Clima.
- tecnologie per la produzione dell’energia da fonti rinnovabili e disponibilità su scala territoriale e loro sviluppo in termini di capacità
- valutazione delle tematiche sull’efficienza energetica nel settore edilizio e industriale.
Capacità di:
- essere informati sull’influenza del territorio costruito sui principali impatti in tema di caratteristiche climatiche, risorse energetiche, inquinamento atmosferico
- valutare le esigenze ed i criteri di distribuzione sul territorio delle risorse energetiche e dei consumi di energia.
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| THREE-DIMENSIONAL MODELING [ICAR/05] [ITA] | 3rd | 2nd | 1 |
Educational objectives The module aims to provide basic knowledge on sustainable mobility to understand how to measure the sustainability of a transport system, how to improve it and which trends will influence it in the near future. In particular, the concept of transport sustainability will be explored, indicators for measuring sustainability will be examined, examples of transport policies will be given (land use and pricing) and current trends in electric, shared, connected and automated mobility and their impact on sustainability will be examined. Finally, the Sustainable Urban Mobility Plan (SUMP) will be introduced with the case study of the Sustainable University Mobility Plan of Sapienza University.
At the end of the course, the student will be able:
● to describe the land-use and pricing transport policies and their potential impact on transport demand, safety, environment, society, land use
● to select and use appropriate indicators to measure the sustainability of a transport system
● to identify the most suitable transport policies for improved sustainability of mobility systems
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| THREE-DIMENSIONAL MODELING [IUS/10] [ITA] | 3rd | 2nd | 1 |
Educational objectives objectives
This module aims to provide students with the basis of the legal framework of policies for sustainability and environmental protection, with particular regard to the activity of public administration, through the study of European and national legislation and the leading cases of European and national Cousrts.
Subject of brief discussion will be in particular the principles relating to administrative discipline to protect the environment in general; the regulations of energy and renewable sources, of waste and water services.
Knowledge and understanding
To assess, through a critical approach, the conditions and opportunities for sustainable development related to the institutional and regulatory framework.
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| THREE-DIMENSIONAL MODELING [ICAR/01] [ITA] | 3rd | 2nd | 1 |
Educational objectives Objectives
This module intends to provide the student with the scientific basis of the relationship between water and climate, in the context of the sustainability of the current and future water cycle for the projected scenarios of global warming. The formative objective of the module is therefore to provide students with the knowledge necessary to frame the objectives of the 2030 agenda relating to the sustainable use of water resources, its defense and defense from extreme hydrological events, climate change in the right scientific context. . Starting from the physical and chemical properties of water, the themes related to the water cycle as a regulator of climate and ecosystems, the interaction of the hydro-social cycle and its impact on the natural cycle due to over-exploitation and pollution are explored. . Students are introduced to issues relating to climate change in relation to the sustainability of the water cycle, highlighting the non-linearity characteristics of the climate system, the existence of critical thresholds and feedbacks. The description of the tools for making future projections, the associated uncertainties and possible actions aimed at controlling the stability of the climate system and the water cycle and mitigation conclude the training course.
Knowledge and understanding
Understanding and evaluating, through an interdisciplinary approach, the complex interaction between the climate system and the water cycle, taking into account the different space-time scales that characterize this interaction, from the local one at the basin scale to the global one at the scale of the entire planet. Therefore, place the problem of the sustainability of the water cycle in the correct context defined by this wide space-time variability.
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| THREE-DIMENSIONAL MODELING [BIO/07] [ITA] | 3rd | 2nd | 1 |
Educational objectives Objectives
This module intends to provide the student with the basis of the scientific study of the relationships between organisms and the environment, and between different organisms, in the context of the ecosystem in its living (biotic) and physical (abiotic) components.
Furthermore, it is intended to prepare the student for the application of ecological principles in the management of natural resources and Ecosystem Services with an approach aimed at enhancing sustainable development in a context of Global Change (climate change, environmental pollution, land use change). . This knowledge was aimed at the use of experimental models and methodologies for the analysis, monitoring, management and restoration of degraded natural ecosystems. These issues fall within the scope of European Directives, International Conventions and Protocols on environmental matters, for the conservation of Biodiversity, Natural Capital, Ecosystem Services and the promotion of Nature-Based Solutions.
Knowledge and understanding
Evaluate, through an experimental approach conducted at a different spatial-temporal scale, the provision of ecosystem services for regulation, procurement and cultural, in natural, urban and agricultural territorial areas.
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| THREE-DIMENSIONAL MODELING [ING-IND/29] [ITA] | 3rd | 2nd | 1 |
Educational objectives Objectives
The topics covered in the module are related to the sustainable development goals (SDGs) of the UN 2030 Agenda SDG11 "Sustainable cities and communities" and SDG12 "Responsible consumption and production", with connections also with other objectives, mainly SDG8, SDG9, SDG13 , SDG14 and SDG15. Students will understand that the recovery and recycling of raw materials from waste produced in urban areas ("Urban Mining") represents the sustainable alternative to the exploitation of non-renewable natural resources, i.e. the extraction and treatment of minerals from ore deposits (“Ore Mining”). Furthermore, since waste is composed by a complex system of materials that must be processed in order to obtain their separation and to produce secondary raw materials, an overview of the main traditional and innovative technologies used in recycling plants will be provided. Finally, the main challenges and critical aspects with reference to some recycling chains for the production of secondary raw materials will be highlighted.
Knowledge and understanding
Knowledge of the fundamental aspects of sustainable production and consumption of resources and sustainable waste management. Knowledge of the principles of circular economy, a model in which the circle closes with the transformation of waste into resources, through strategies that are effective from a technical point of view and convenient from an economic point of view. Knowledge and evaluation of the main problems and challenges in the recycling sector also for the achievement of the targets set by the European Union.
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| 10610251 | Susatinable mobility [ING-IND/31] [ITA] | 3rd | 1st | 6 |
Educational objectives KNOWLEDGE AND UNDERSTANDING. Basic knowledge on sustainable mobility systems is provided, both in terms of vehicle typology (land, water and aeronautical, small, medium and large size) and in terms of recharging, monitoring and fleet control infrastructures.
Successful students who pass the final exam will be capable of reading and understanding texts and articles about advanced topics related to sustainable mobility.
CAPABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING. Students who pass the final exam will be able to analyze the critical issues of a sustainable mobility system and to conceive one in terms of technological integration.
MAKING AUTONOMOUS JUDGEMENTS. Students who pass the final exam will be able to analyze the design requirements and define an effective solution that best fits the chosen case study.
COMMUNICATE SKILLS. Successful students will be able to compile a technical report and to realize an appropriate presentation concerning any design, development and performance measurement activity related to the proposed solution.
LEARNING SKILLS. Successful students will be able to further study by their own the topics dealt with in class, realizing the necessary continuous learning process that characterizes any task about solving, representation and simplification of complex problems related to sustainable mobility.
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| 10610518 | PRIMARY AND SECONDARY RAW MATERIALS ENGINEERING [ING-IND/29] [ITA] | 3rd | 2nd | 6 |
Educational objectives The aim of the course is to provide students with the basic knowledge and study of the applications of the main operations and processes of environmental relevance in the Primary and Secondary Raw Materials Engineering sector. Particular attention is paid to: i) the study of the parameters that influence the handling and treatment of solid materials and granular substances, both of natural origin (raw materials) and artificial, i.e. coming from waste materials and/or finished products life cycle (secondary raw materials), ii) problems relating to the minimization of energy consumption; iii) the treatment processes of this type of material, both as regards the technical and technical-economic aspects and iv) the problems of survey and assessment of the environmental and territorial impact of these activities.
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| 10610614 | Numerical Programming with Python [MAT/08] [ITA] | 3rd | 2nd | 6 |
Educational objectives General Objectives
This course provides the basic concepts of programming with Python and basic knowledge of some numerical methods that are employed for the solution of common problems in mechanical engineering (non-linear equations, differential equation, data approximation and representation, machine learning). Particular attention will be devoted to the development of algorithms and their Python implementation.
Results
This course will provide skills of problem solving. The student will be able to implement, compile and run some simple programs written in Python; to implement specific numerical procedures for solving some test problems; to present and analyse the results.
SPECIFIC OBJECTIVES
Knowledge and understanding: the student will know the basic properties of some numerical methods commonly used to solve problems that arise in engineering. The student will learn the basic concepts of programming with Python that are required for implementing and using the proposed numerical methods.
Applying knowledge and understanding: the student will be able to project and to provide an algorithmic solution of a problem and to implement simple algorithms in the Python programming language. The student will learn to translate the numerical methods learned into a computational algorithm written in Python programming language, use these algorithms (or predefined libraries) to solve simple application problems, and interpret and analyze the results.
Making judgments: the student will learn to analyze the correctness of a Python program; to analyze the performance of numerical method for solving some test problems, through numerical experiments, with special reference to the analysis of different sources of error, verification of results, comparison of results obtained using different methods. To this aim, several exercises will be proposed during both theoretical and lab lessons; some of them will be solved by the teacher, some others will be proposed as guided lab exercises, while the remaining ones will be given as homework and solutions will be made available.
Communication skills: the student will learn to rigorously describe the rationale for selecting a particular numerical procedure for solving a specific problem, the code developed to implement the selected numerical method, and the results of numerical experimentation.
Learning skills: the student will be provided with the necessary tools to plan the steps to be performed to solve a problem and formulate them in algorithmic form; to identify the main characteristics of a numerical method, to use basic numerical methods, to implement them in the Python programming language, to evaluate the results critically based on the different types and sources of error expected, to solve some application problems.
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| 10610613 | Fluid mechanics for hydraulic applications [ICAR/01] [ITA] | 3rd | 2nd | 6 |
Educational objectives Fundamental elements for the design of pipes, pipe network and free surface channels for uniform, steady and unsteady flows.
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| 10610963 | RENEWABLE ENERGY COMMUNITIES [ING-IND/09] [ITA] | 3rd | 2nd | 6 |
Educational objectives OVERALL OBJECTIVES
The course aims to systematically frame the students' knowledge in the field of renewable energy communities (REC) in the context of national and European legislation on the energy transition. Starting from the EU Clean Energy Package and the subsequent national implementation, RECs are a tool to make citizens protagonists and aware of the issue of distributed electricity and thermal generation, as well as to increase the diffusion of renewable sources in the national and European generation scenario.
The study starts from the analysis of electrical and thermal loads, the profiling of users and the definition of a system for building a community made of prosumers and consumers. Students will be provided with the necessary knowledge to estimate the producibility of renewable energy source plants installed in the community, to make it as independent as possible from the national electricity grid, sustainable from an energy, environmental and financial point of view.
Importance will be given to the non-stationary reconstruction of the energy and financial metabolism of the CER by virtue of the optimization of its performance.
Approximately one third of the course will be devoted to the practical implementation of performance computing and CER optimization on an open-source Python platform.
DETAILED OBJECTIVES
1. Understand what a REC is and how it is declined by national and European legislation
2. Understanding how to extimate the electrical and thermal loads of a REC
3. Understanding how to estimate the producibility of a renewable source plant located in a specific area
4. Understanding how to evaluate the energy, financial and environmental impact performance of the REC.
5. Understanding how to characterize a renewable energy source and evaluate the producibility of a conversion plant from renewable sources and its economic performance during the life cycle
6. Understanding how to model a CER on an open source Python system
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