Tools for sustainable development
15.0 ECTS creditsModule I (5 ECTS cr) Modelling:
1. Aliasing.
2. Shannon's sampling theorem
3. Stochastic and deterministic processes
4. Criteria of stationariness
5. Auto- and cross-covariance functions
6. Differential equations and difference equations
7. Black box modelling
8. Process description through auto regressive "moving-average" models with exogenous input (ARMA-X)
9. Simulation of dynamic processes
10. Predictions
11. Akaike's final prediction error
12. Ljung-Box test of residual correlations
13. Stability
Module II (5 ECTS cr) Analysis:
(a) Materials Flow Analysis (MFA)
1. Analysis, evaluation and design of anthropogenic metabolism in different shells (companies, cities, countries).
2. Use materials flow analysis to:
- predict changes in demand and emissions
- interpret changes regardig the consequences for the environment, resource protection, employment rate or geopolitical conditions
- identify possibilities to change systems in the desired direction
3. Terminologies of system definition, choice of indicators, vulnerability analysis, data harmonization, dynamic modelling
4. MFA as precursor to E-LCA (Environment -Life Cycle Analysis)
(b) Life Cycle Cost Analysis (LCCA)
1. Cost categories, income categories, current value calculations, discounts and their importance
2. Differences in setting repayment periods pertaining to projects based on current value, introducing environment costs to integrate environmental and economic aspects in decision-making
(c) Social Life Cycle Analysis (S-LCA)
1. Introduction to S-LCA methodology.
2. Understanding criteria and indicators
3. Case studies in the literature
Module III (5 ECTS cr) Group project:
Students apply the theories of the first two modules and work in groups with an assigned project. Project content can be adjusted to departmental research, industrial examples or students' own choices.
1. Aliasing.
2. Shannon's sampling theorem
3. Stochastic and deterministic processes
4. Criteria of stationariness
5. Auto- and cross-covariance functions
6. Differential equations and difference equations
7. Black box modelling
8. Process description through auto regressive "moving-average" models with exogenous input (ARMA-X)
9. Simulation of dynamic processes
10. Predictions
11. Akaike's final prediction error
12. Ljung-Box test of residual correlations
13. Stability
Module II (5 ECTS cr) Analysis:
(a) Materials Flow Analysis (MFA)
1. Analysis, evaluation and design of anthropogenic metabolism in different shells (companies, cities, countries).
2. Use materials flow analysis to:
- predict changes in demand and emissions
- interpret changes regardig the consequences for the environment, resource protection, employment rate or geopolitical conditions
- identify possibilities to change systems in the desired direction
3. Terminologies of system definition, choice of indicators, vulnerability analysis, data harmonization, dynamic modelling
4. MFA as precursor to E-LCA (Environment -Life Cycle Analysis)
(b) Life Cycle Cost Analysis (LCCA)
1. Cost categories, income categories, current value calculations, discounts and their importance
2. Differences in setting repayment periods pertaining to projects based on current value, introducing environment costs to integrate environmental and economic aspects in decision-making
(c) Social Life Cycle Analysis (S-LCA)
1. Introduction to S-LCA methodology.
2. Understanding criteria and indicators
3. Case studies in the literature
Module III (5 ECTS cr) Group project:
Students apply the theories of the first two modules and work in groups with an assigned project. Project content can be adjusted to departmental research, industrial examples or students' own choices.
Progressive specialisation:
A1N (has only first‐cycle course/s as entry requirements)
Education level:
Master's level
Admission requirements
Upper secondary level Swedish 3 or B, or Swedish as a second language 3 or B, and English 6 or A, or equivalent.
Programme students: completed courses totalling 75 ECTS cr for the BSc program in energy and environmental engineering (TGHEM) or either the MSc programme in energy and environmental engineering (TACEM) or admission to the Master programme in energy and environmental engineering towards a Msc degree, or equivalent.
Non-programme students: Completed undergraduate courses totalling 90 ECTS cr, including at least 15 ECTS credits in energy engineering and at least 15 ECTS credits in mathematics, or equivalent.
Selection:
Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.
Course code:
EMAD17
The course is not included in the course offerings for the next period.