OVERVIEW

The module will provide students with the necessary background to analyze energy conversion and utilization systems with an holistic approach. Specific attention will be dedicated to the tecno-economic assessment of energy projects and models for energy-demand analysis, based on the development of specific case studies with the support of programming softwares (e.g., Excel, Python). 

AIMS AND CONTENT

LEARNING OUTCOMES

The course aims to provide students with: •Fundamentals of energy markets •Techniques for the decomposition of energy consumption •Methodologies for energy demand forecasting •Development of complex thermo-economics models •Development of energy planning models.

AIMS AND LEARNING OUTCOMES

The Course of Energy Resource Management provides students with an holistic approach for a correct planning and management of energy resources and energy systems. To this aim the following macro-topics will be discussed:

·       Fundamentals of investment analysis

·       Development of advanced tecno-economic models.

·       Methodologies for energy demand analysis and decomposition

·       Energy security assessment

·       Fundamentals of energy markets

On the successfull completion of the course, the student will be able to:

• Demonstrate knowledge and comprehension of complex problems related to energy resource management,  conversion systems and energy infrastructures.
• Develop thermo-economics calculation models
• Propose solutions for the implementation of energy projects
• Evaluate and compare the feasibility of energy projects.
• Participate in classroom discussion with lecturers and other students

PREREQUISITES

Bachelor level knowledge of thermodynamics and heat transfer

TEACHING METHODS

Lectures and development of case studies with the support of a PC. During the course, calculation tools (e.g., MS Excel, Python.) will be used to develop quantitative analysis models. The course implements a practical approach through the analysis of realistic case studies proposed by the lecturer and, where applicable, by guest speakers from industry and/or research.

SYLLABUS/CONTENT

• Fundamentals of investment analysis: definition of investment, cash-flow analysis, discount rate, investment performance indicators (NPV, PBP, IRR, etc.)
• Development of complex techno-economic models: preliminary design of energy systems, techno-economic investment analysis in Python, and optimisation of techno-economic parameters.
• Energy demand analysis: performance indicators, decomposition of energy demand using the LMDI method, and introduction to energy planning.
• Energy security analysis: definition of energy security, factors affecting energy security, demand diversification, and assessment of import security.
• Fundamentals of energy markets

RECOMMENDED READING/BIBLIOGRAPHY

• Energy Economics - Bhattacharyya Subhes C. – Ed. Springer
• Analysis of Energy Systems. Management, Planning and Policy - Vincenzo Bianco – Ed. CRC Press
• Case Studies in energy Systems - A practical approach to energy system design and analysis - Vincenzo Bianco, Mattia De Rosa - Ed. Elsevier 
• Lecture notes

TEACHERS AND EXAM BOARD

LESSONS

LESSONS START

https://corsi.unige.it/en/corsi/11960/studenti-orario

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Student assignments with class presentation and oral exam.

Students with a certified learning disability (DSA), a disability, or other special educational needs are invited to contact the instructor at the beginning of the course to discuss teaching and examination arrangements that, while respecting the learning objectives of the course, take individual learning needs into account and provide appropriate accommodations.
Please also note that requests for exam accommodations or exemptions must be submitted using the form available at this link https://modulionline.unige.it/richiesta-adattamenti#no-back , to the course professor, the DIME contact person (federico.scarpa@unige.it), and the relevant office (inclusione.studenti@info.unige.it) at least seven working days before the examination, in accordance with the guidelines available at this link https://unige.it/disabilita-dsa/richiesta-servizi

ASSESSMENT METHODS

Assignments, class presentations and oral examination allows to evaluate problem solving abilities, utilization of appropriate expressions, and the comprehension of the background theoretical knowledge.