Introduce to students smart energy systems and energy in smart cities. Preparing students for understanding of advanced process of development of Sustainable energy and climate action plans (SECAP), as well as for fast and quality implementation of measures from these action plans. Guide the students towards interdisciplinary approach in SECAP development an towards a planning of smart energy systems through understanding technology, economic and institutional problems, barriers and questions as well as presenting the methods for solving these barriers. Acquiring knowledge and skills for transition of current cities and districts to smart and sustainable cities of the future.

Student responsibilities:

Attending lectures, workshops and teamwork.

Grading and evaluation of student work over the course of instruction and at a final exam:

Continuous work through the semester by making one seminar (30%), homework and class assignments (30%) and presentation teamwork and presentation (40%).

Upon successful completion of the course, students will be able to (learning outcomes):

1 . Understand and analyse the constructive elements of smart cities (district heating and cooling, thermal grids, gas grids, power system in smart cities, transport system, smart and nearly zero energy buildings, municipal energy systems, energy in service sectors).

2 . Understand the concept of "smart cities" and "circular economy in smart cities"

3 . Apply data processing and optimization methods to energy sectors and markets in smart cities

4 . Apply the advanced knowledge of energy research in development of the Sustainable energy and climate action plan SECAP

5 . Recommend the measures of increasing share of renewable energy sources and energy efficiency and reduction of greenhouse gas emissions in the local and regional action plans

Lectures

1. Getting to know the concept of smart cities, circular economy, sustainable development and low-carbon cities, as well as the basic elements of smart energy systems. Presentations and multimedia content, interaction with students through flash questions during lectures (multiple choice tasks).

2. Standards/standardization for smart cities, indicators and platforms, digitization in smart cities data, data collection for smart cities SDEWES index.

3. Covenant of Mayors - SECAP. Overall, the goals of the initiative. Terms and process. Foundations for the sustainable development of cities. Indicators of sustainability of cities. Progress made. Description of the process of creating an action plan for sustainable energy management and adaptation to climate change and creating a reference inventory of greenhouse gas emissions for a specific area. Control and monitoring of the implementation of the Action Plan. Submitting a report on the implementation of the Action Plan to the European Commission. Description of the first stage of development and preparatory actions. Possibilities for adjusting the structure of the city administration in order to ensure the necessary professional potential for the implementation of the Action Plan. Examples of good practice. Gathering support from participants, necessary services. Tools for creating an action plan and information campaign.

4. Introduction to smart grids. Main parts of smart grids. Energy storage. Interaction with other systems, heating, cooling and transport sectors. Electricity market and possibilities of energy trading in cities.

5. Data processing in smart cities I. Available programs, methods, platforms. Introductory considerations.

6. Data processing in smart cities II. Automation and visualization.

7. Data processing in smart cities III. The use of linear regression to predict future values based on a historical data set and quality assessment of the predicted set using statistical indicators.

8. Optimization procedures in smart cities. Optimization procedures and the formation of advanced markets. Getting to know the GAMS program. Preparation of the seminar at GAMS.

9. Optimization procedures and the formation of advanced markets.

10. Modelling of flexible consumption, energy storage and microgrid (influence of flexibility on the price of energy, operation of microsystems, etc.). Link how different technology/policy/measure impacts the energy price and system operation.

11. Smart transport system and "green", sustainable mobility. Basic parts of the transport system and related energy consumption. Energy needs for transport of citizens and goods. The possibility of integration with the electric power and gas system, intramodality. Communal energy and energy for communal services. ICT sector.

12. Energy efficiency. Understanding the market for energy efficiency measures. Macroeconomic approach. Policy, plan and program of energy efficiency in cities. Sectors of supply and demand of energy efficiency services. Creating a cost curve for energy efficiency measures. Energy efficiency by sector, basic overview. All gain energy efficiency measures. Indicator of readiness for smart buildings.

13. Field work. A visit to the city office or energy agency that prepares and implements SEACPs, collects and processes digital data. Visit to a location with a successfully implemented measure from SECAP, a successful example of digitization or integration of the sector.

14. Creation of a measure from SECAP, which includes digitization and standardization. Writing, control of the implementation of measures. Performance indicators.

15. Development of a measure from SECAP, which includes digitization and standardization. Writing, control of the implementation of measures. Performance indicators.

Exercises

1. Exercise in a team of 3-5 students, which includes concepts from the 1st lecture, essay-type tasks, analysis and synthesis of solutions.

2. Exercise on application of standards and calculation of indicators.

3. ICLEI - SEAP tool - exercise on energy consumption calculation and CO2 emissions calculation.

4. Smart grid analysis exercise for one city. Analysis tools.

5. Python data processing exercise

6. Numpy and Pandas data processing exercise

7. Machine learning, linear regression exercise

8. Optimization exercise in GAMS

9. Advanced markets optimization exercise in GAMS

10. Optimization exercise in GAMS or Caliope sectors.

11. Consumption analysis exercise energy in the transport sector in the city. SUMO, MATSIM tools

12. Exercise calculation of the energy efficiency measure for SECAP.

13. Active participation in field work. Asking questions.

14. Exercise for development of measures from SECAP and standardization. Team work.

15. Exercise of presentation of SECAP and measures from SECAP. Team work.

Compulsory literature:

1. The Low Carbon City Development Program Guidebook: A Systems Approach to Low Carbon Development in Cities. , World Bank; DNV KEMA., World Bank, Washington, DC., 2014, p. 0-0

2. Citizen Science and Smart Cities, CRAGLIA Massimo, GRANELL CANUT Carlos, JRC- Institute for Environment and Sustainability, 2014, p. 0-0

Recommended literature:

3. An Introduction to Statistical Learning, Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, , Springer, 2021, p. 0-0

4. A Primer on Scientific Programming with Python, Third Edition,, Hans Petter Langtangen, , Springer, 2012, p. 0-0