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Research Article

A model for energy master planning and resilience assessment of net-zero emissions community

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 375-399 | Received 26 Aug 2022, Accepted 27 Jan 2023, Published online: 12 Feb 2023

Figures & data

Figure 1. Schematic concept of community-level energy system and examples of energy provision technologies.

Figure 1. Schematic concept of community-level energy system and examples of energy provision technologies.

Figure 2. Flowchart of the EMP model algorithm.

Figure 2. Flowchart of the EMP model algorithm.

Figure 3. EMP model structure.

Figure 3. EMP model structure.

Figure 4. Inputs and outputs of the EMP model.

Figure 4. Inputs and outputs of the EMP model.

Table 1. Description of model sets.

Table 2. Selected indicators under the three (Level 1) dimensions or bottom lines considered in the EMP model.

Table 3. Energy resilience input parameters description.

Figure 5. Energy resilience module workflow based on (Charani Shandiz, Foliente, Rismanchi, et al., Citation2020).

Figure 5. Energy resilience module workflow based on (Charani Shandiz, Foliente, Rismanchi, et al., Citation2020).

Figure 6. An artist’s impression of the new University of Melbourne campus in Fishermans Bend, Melbourne (the University of Melbourne, Citation2021).

Figure 6. An artist’s impression of the new University of Melbourne campus in Fishermans Bend, Melbourne (the University of Melbourne, Citation2021).

Table 4. Summary of Fishermans Bend campus energy demand.

Table 5. Wind turbine specifications.

Table 6. Input variable values for the selected case study.

Figure 7. Failure duration distribution.

Figure 7. Failure duration distribution.

Figure 8. Hourly electricity supply and demand for one selected week in March (hours 1640 to 1808).

Figure 8. Hourly electricity supply and demand for one selected week in March (hours 1640 to 1808).

Figure 9. Hourly cooling supply and demand for one selected week in March (hours 1640 to 1808).

Figure 9. Hourly cooling supply and demand for one selected week in March (hours 1640 to 1808).

Figure 10. Hourly performance of TES c. tank for one selected week in March (hours 1640 to 1808).

Figure 10. Hourly performance of TES c. tank for one selected week in March (hours 1640 to 1808).

Figure 11. Hourly heating supply and demand for one selected week in March (hours 1640 to 1808).

Figure 11. Hourly heating supply and demand for one selected week in March (hours 1640 to 1808).

Figure 12. Hourly performance of TES h. tank for one selected week in March (hours 1640 to 1808).

Figure 12. Hourly performance of TES h. tank for one selected week in March (hours 1640 to 1808).

Figure 13. Annualised cost breakdown of reference community and net-zero emissions community cases.

Figure 13. Annualised cost breakdown of reference community and net-zero emissions community cases.

Table 7. Design capacity of technology portfolio for reference case and net-zero emissions case.

Table 8. Energy storage portfolio for reference and net-zero cases.

Figure 14. Probability and distribution of critical load not served (CLNS), kWh (left) and duration of critical load not served (DCLNS), hr (right) – reference case, start time 169h.

Figure 14. Probability and distribution of critical load not served (CLNS), kWh (left) and duration of critical load not served (DCLNS), hr (right) – reference case, start time 169h.

Figure 15. Cumulative probability density of critical load not served (CLNS), kWh (left) and duration of critical load not served (DCLNS), hr (right) – reference case, start time 169h.

Figure 15. Cumulative probability density of critical load not served (CLNS), kWh (left) and duration of critical load not served (DCLNS), hr (right) – reference case, start time 169h.

Figure 16. Two-dimensional square failure probability density distribution of the reference case (left) and the net-zero emissions case (right) for the Fishermans Bend campus case study.

Figure 16. Two-dimensional square failure probability density distribution of the reference case (left) and the net-zero emissions case (right) for the Fishermans Bend campus case study.

Table B1. Techno-economic database of energy generation technologies at the community level.

Table B2. Techno-economic database of energy storage technologies at the community level.

Table B3. Technical specifications of the energy storage technologies.