This record is currently in review state, the data hasn’t been validated yet.
Thermal and hydraulic modelling and optimization of thermal networks in districts in the CEA framework
- Master Thesis
Rights / licenseIn Copyright - Non-Commercial Use Permitted
To comply with global goals for a sustainable future, changes in the energy sector are necessary. One important area of focus is the heating and cooling demand in urban zones, with 20% of total energy consumed worldwide in buildings. Approximately 70% of the energy demand used for heating is based on fossil fuels. District heating and cooling are growing markets with a large potential for decreasing energy demand and carbon emissions. While most network design optimization studies focus only on branched networks, a large amount of existing systems contain closed loop pipe connections. To further investigate the cost savings potentials of such looped network configurations, the existing CEA thermal model is adapted in two stages. First, the level of detail of calculations is increased, and adapted to include constraints such as minimum mass flows in network pipes. In a second step, algorithms are set up to allow looped network configurations. Based on this model and several case studies in the Waterfront Tanjong Pagar area in Singapore, a detailed network design optimization is carried out to identify general trends for plant placement, network layout (branched or looped), which cooling loads to supply via the network, which buildings to connect, and the amount of plants to place in the network. An analysis of the annualized cost distribution network and supply side shows that network related costs make up only a small amount of total yearly costs, the largest amount of costs coming from the production of cooling and annualized plant cost. As a result, an optimization of network loads and connected buildings has a larger impact on total yearly cost, as these decision variables directly affect the cost of generating cooling. Workflows for a best case optimization and for the integration of the implemented network optimization into the existing CEA optimization are proposed Show more
External linksSearch via SFX
ContributorsExaminer: Hsieh, Shan-Shan
Examiner: Sreepathi, Bhargava K.
Examiner: Fonseca, Jimeno A.
Examiner: Schlueter, Arno
SubjectDistrict cooling; District heating; Optimization
Organisational unit03902 - Schlüter, Arno / Schlüter, Arno
MoreShow all metadata