Energy Planning

Code:

PDSSE0004

Acronym:

EP

Keywords
Classification	Keyword
OFICIAL	Energy Systems

Instance: 2013/2014 - 1S (of 09-09-2013 to 07-02-2014)

Active?	Yes
Responsible unit:	Fluids and Energy Section
Course/CS Responsible:	Doctoral Program in Sustainable Energy Systems

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
EASSE	3	Syllabus since 2008/09	1	-	7,5	70	200
PDSSE	3	Syllabus since 2007/08	1	-	7,5	70	200

Teaching language

English

Objectives

The main objective is to make students become able of leading or participating in processes of developing energy plans for regions or countries, taking into account the best available technical knowledge and tools in the area. It is also sought to identify the main insufficiencies of the current methods, which could be object of research in the future.

Learning outcomes and competences

Students must develop the following competences during the course: - Know the global structure of Energy Systems, its branches and main technologies, both on the supply and on the demand sides. - Known and understand the energy chain and the concepts of primary, final and useful energy. - Be able to draw Sankey diagrams of an Energy systems or parts of it, as well as energy matrixes. - Know the main requirements for a reliable operation of electric networks and be able to account for it in the development of plans; - Be able to use energy systems simulation tools to develop mid-term plans for regions or countries. - Know the general principles of Multi-Objective decision processes and making and and be able to use them in developing and comparing decision alternatives;

Working method

Presencial

Program

Introduction The scales of Energy Planning An historic perspective of Energy Systems Energy the world today - context and trends Mapping Energy Systems Demand, supply, conversion and distribution The comprehensive approach towards Energy Systems A global chart of E.S. Main supply-side technologies Key demand uses and technologies The energy chain: useful, final, primary energy Useful energy / energy service Final energy Primary energy Simulation and Analysis tools Accounting tools (e.g. the LEAP) Optimization tools (eg the TIMES-Markal) EP as a Decision problem Identifying Objectives Identifying/constructing Alternatives Estabilishing targets Demand breakdown and forecast Top-dow models (econometric models) bottom-up models (technical models) Fundamentals of Electric Grids (1) Structure of the El. Systems: generation, transport, distribution networks General load balance Voltage regulation and frequency regulation Ability of each main technology to contribute to VR and FR Fundamentals of Electric Grids (2) Availability factor Capacity factor Dispacth on a operational perspective Dispacth on a resource perspective Power system generation planning Power system transport and distribution planning New challenges & prospective solutions for electric grids E. Planning implementation and monitoring Policy aspects of implementation Monitoring plans Indicators for monitoring Trends & remaining challenges in EP methods Long-range high-resolution models Merging of top-down with bottom-up models Resilience vs efficiency Copping with decentralized decisions

Mandatory literature

Gérard Sarlos, Pierre-André Haldi, Pierre Verstraete; Systèmes énergétiques. ISBN: 2-88074-464-4
Olle I. Elgerd; Electric Energy Systems Theory

Complementary Bibliography

Henrik Lund; Renewable energy systems. ISBN: 978-0-12-375028-0
Teste, Drake et. al; Sustainable Energy: choosing among the options, MIT Press, 2005

Teaching methods and learning activities

The main components of the teaching-learning process will be lectures based on the constructivist method, and three assignments to be done by the students in extra-room time overall several weeks. The second and third assignment will include applications of the concepts acquired at the lectures and use of Energy Planning software.

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	40,00
Trabalho escrito	60,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	58,00
Frequência das aulas	42,00
Trabalho de investigação	100,00
Total:	200,00

Eligibility for exams

All registered students are allowed to take the final exam

Calculation formula of final grade

CF = 0.1*A1+0.1*A2+0.4*A3+0.4*EF, onde: CF:Final grade; A1: Assignment 1; A2: Assignment 2; A3: Assignment 3; EF: Final exam. All components are graded in a scale of 0 to 20. Students PASS if they achieve a CF equal or higher than 9.5, and FAIL otherwise.

Examinations or Special Assignments

There will be threepapers, and the first two are individual and the third in groups, involving the use of software for energy planning.

Special assessment (TE, DA, ...)

Exams will be schedule for dates compatible with all students.

Classification improvement

Not applicable