Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

Peter Jan de Haan van der Weg: Catalogue data in Spring Semester 2020

Name Dr. Peter Jan de Haan van der Weg
Im Zil 1
8620 Wetzikon ZH
Telephone031 931 28 10
DepartmentMechanical and Process Engineering

151-0226-00LEnergy and Transport Futures4 credits3GK. Boulouchos, P. J. de Haan van der Weg, G. Georges
AbstractThe course teaches to view local energy solutions as part of the larger energy system. Because it powers all sectors, local changes can have consequences reaching well beyond one sector. While we explore all sectors, we put a particular emphasis on mobility and its unique challenges. We not only cover engineering aspects, but also policymaking and behavioral economics.
ObjectiveThe main objectives of this lecture are:
(i) Systemic view on the Energy Sytem with emphasis on Transport Applications
(ii) Students can assess the reduction of energy demand (or greenhouse gas emissions) of sectoral solutions.
(iii) Students understand the advantages and disadvantages of technology options in mobility
(iv) Students know policy tools to affect change in mobility, and understand the rebound effect.
ContentThe course describes the role of energy system plays for the well-being of modern societies, and drafts a future energy system based on renewable energy sources, able to meet the demands of the sectors building, industry and transport. The projected Swiss energy system is used as an example. Students learn how all sectoral solutions feedback on the whole system and how sector coupling could lead to optimal transformation paths. The course then focuses on the history, status quo and technical potentials of the transport sector. Policy mixes to reduce energy demand and CO2 emissions from transport are introduced. Both direct and indirect effects of different policy types are discussed. Concepts from behavioral economics (car purchase behavior and rebound effects) are presented.

Preliminary schedule:
Block 1. Energy technologies and policies.
Climate, Environment, Security of Supply.Technology options and policies in power generation, building and industrial sectors .
Block 2. Transport technologies.
Technology options in mobility and their physical aspects
Block 3. Transport policies
Regulation, policy tools and technological potential to affect change in mobility
Block 4. Energy and Transport Futures
Closing loop across all sectors. Sector-coupling.
Lecture notest.b.d.
166-0300-00LFramework Conditions and Transport Behaviour Restricted registration - show details
Only for MAS in Future Transport Systems and CAS in Future Transport Systems: New Business Models
4 credits3GP. J. de Haan van der Weg
AbstractThis module addresses the demand for new business models for future transport systems. Why and in what way do people wish to be mobile? What are the economic, social and legal framework conditions, and how will these develop? What approaches leading to new value propositions will follow?
• can tell the difference between drivers of mobility which cannot really change and those which can change;
• are able to identify the effects of path dependence on transport systems and future transport systems;
• are familiar with the socio-psychological factors involved in transport vehicle acquisition and transport behaviour, and can apply them in ideas for new business models;
• are able to judge the significance of travel time, driving time and fixed costs and use this knowledge to identify new business models;
• are able to design incentives which will trigger maximum changes in behaviour and/or facilitate cooperative behaviour;
• are able to embed electric mobility conceptually such that its potential is realised and the associated risks are minimised;
• are familiar with the framework conditions and efficient drivers required to replace overland transport with air transport;
• are able to assemble combinations of political and market instruments on the basis of their efficiency profiles and side-effects in order to realise efficiency potentials and changes in behaviour;
• are able to design policy and market measures in such a way that they minimise rebound effects (including those in connection with automatic and fully autonomous vehicles);
• are able to recognise the properties of automatic and fully autonomous vehicles which are particularly suitable for new business models.
• Why are people mobile? What resources (time, money, space) do they invest in mobility?
• What are the various qualities of transport services (comfort/stress, risk/safety, plannability, multifunctionality)?
• What are the various resource and quality profiles of current transport services, and what mutual dependencies are there?
• What current mobility demands are unsated? Why are they unsated? What future key technologies might change this?
• What current forms of mobility might be substituted by other transport services? If they were substituted, how would the necessary resources and transport service qualities change?

• Group work (groups of four and groups of two)
• Creative methods for generating value propositions
• Tasks in preparation for the fourth course day: design, implementation and analysis of a small survey of potential target clients regarding a not-yet-existing business model

Case studies
• Reciprocal presentation of personally compiled case studies
Lecture notesDistributed at start of module.
LiteratureDistributed at start of module.
Prerequisites / NoticeAnnounced to students of the of the MAS | CAS at the beginning of the term.