At Physical Resource Theory we develop knowledge for transitions to a sustainable future with a high quality of life for the global community. Our research focuses on the interactions between technology, society and nature.
We use a systems perspective to perform interdisciplinary research including theory development, mathematical modeling, as well as quantitative and qualitative analysis.
We aspire to pursue an active engagement and dialogue with society, through education, stakeholder interaction and support to decision makers.
The research at the Division of Physical Resource Theory has its roots in Physics. From the beginning the research was focused on the conversions of physical resources (materials and energy) in natural and societal systems and the build-up and maintenance of structure.
Today, our interdisciplinary research can be divided into these main areas:
Complex systems
include theory and model development for analysis of collective phenomena in nature and society, for example in statistical mechanics and quantum mechanics, as well as in ecological, evolutionary, and societal systems.
Theory and model development of societal systems
aims at improved understanding of systems composed by interacting agents in society. This includes model development of energy systems transitions and bridges to more applied areas within the division.
Energy systems analysis
primarily includes modeling and analysis of future energy and transport systems. Examples include how to design a renewable electricity system and how greenhouse gas emissions can be mitigated cost-effectively.
Sustainable consumption
The interdisciplinary research group on sustainable consumption addresses a wide range of research topics related to societal and individual consumption patterns, including carbon footprints, rebound effects, time use, well-being, and policy instruments.
Education
We offer courses at both the undergraduate and graduate level, and are involved in two international master's programs: Industrial Ecology and Complex Adaptive Systems.