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Modelling Energy Supply of Future Smart Cities
The world has never been more urbanised, and urbanisation rates are still growing. Climate change on the one hand and air pollution, on the other hand, are resulting in adverse effects on the society. Nowadays, the majority of energy consumption occurs in cities, which are central parts of the overall economic activity. Constant changes in urban form, rising urbanisation rates, need for cleaner energy sources, variability in energy generation and rising economic output all contribute to the complexity of the urban energy transition. The solution for the future urban energy supply is further complicated by the interdisciplinarity of the urban transition. Energy engineers, mechanical engineers, civil engineers, architects and social scientists and others all have specific, and often different, objectives and approaches when focusing on the urban energy transition. This thesis is focused on the technical aspects of the urban energy transition, the role of different technologies in the future urban energy supply, flexibility sources in urban energy systems, the role of district heating and district cooling in an urban context, the role of different storage types, the role of biomass in an urban context, energy transition of the mobility sector and optimal set-ups of future energy systems. It is a result of collaboration with many different researchers, industry and institute representatives. In order to deal with the energy transition in different contexts and case studies, three different models were used in this PhD thesis, both simulation and optimisation ones. One linear optimisation model was developed as a part of this thesis, to allow for specific modelling of different storage types, flexibility technologies, demand-response techniques and relations between different energy sources and technologies. Results of several different case studies, from three different continents, showed that the urban energy transition is possible in different locations, albeit with different optimal mixes of different ...
Modelling Energy Supply of Future Smart Cities
The world has never been more urbanised, and urbanisation rates are still growing. Climate change on the one hand and air pollution, on the other hand, are resulting in adverse effects on the society. Nowadays, the majority of energy consumption occurs in cities, which are central parts of the overall economic activity. Constant changes in urban form, rising urbanisation rates, need for cleaner energy sources, variability in energy generation and rising economic output all contribute to the complexity of the urban energy transition. The solution for the future urban energy supply is further complicated by the interdisciplinarity of the urban transition. Energy engineers, mechanical engineers, civil engineers, architects and social scientists and others all have specific, and often different, objectives and approaches when focusing on the urban energy transition. This thesis is focused on the technical aspects of the urban energy transition, the role of different technologies in the future urban energy supply, flexibility sources in urban energy systems, the role of district heating and district cooling in an urban context, the role of different storage types, the role of biomass in an urban context, energy transition of the mobility sector and optimal set-ups of future energy systems. It is a result of collaboration with many different researchers, industry and institute representatives. In order to deal with the energy transition in different contexts and case studies, three different models were used in this PhD thesis, both simulation and optimisation ones. One linear optimisation model was developed as a part of this thesis, to allow for specific modelling of different storage types, flexibility technologies, demand-response techniques and relations between different energy sources and technologies. Results of several different case studies, from three different continents, showed that the urban energy transition is possible in different locations, albeit with different optimal mixes of different ...
Modelling Energy Supply of Future Smart Cities
Dominkovic, Dominik Franjo (author)
2018-01-01
Dominkovic , D F 2018 , Modelling Energy Supply of Future Smart Cities . Technical University of Denmark . https://doi.org/10.11581/dtu:00000038
Book
Electronic Resource
English
/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy , SDG 7 - Affordable and Clean Energy , /dk/atira/pure/sustainabledevelopmentgoals/climate_action , /dk/atira/pure/sustainabledevelopmentgoals/sustainable_cities_and_communities , SDG 13 - Climate Action , SDG 11 - Sustainable Cities and Communities
DDC:
690
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