Data for: Multi-objective Optimisation of Power-to-Mobility in Decentralised Energy Systems

Published: 22 May 2020| Version 1 | DOI: 10.17632/r4pswshsj9.1
Portia Murray


This data represents the input and output data for the optimisation model developed in "Multi-objective Optimisation of Power-to-Mobility in Decentralised Energy Systems". The input data is specific to the case study used in the paper and includes: 1. The electricity and heating loads for each building (please note that although 50 buildings are used in the case study, two-family homes have been grouped together to result in 35 listed in these files) and solar radiation on the rooftop are included for the representative days horizon in "Building Loads Representative days 2018.xls", "Building Loads Representative days 2035.xls" and "Building Loads Representative days 2050.xls" 2. The driving profiles for each vehicle are found in "Charging profiles with driving cycles.xlsx". This includes profiles for the highway, average, and urban cycle profiles with the representative days horizon and the binary to indicate whether or not a vehicle is at home. 3. "Car2building.json" maps each vehicle index to the associated building. 4. "Power limit per building.xlsx" shows the maximum amount of power per building in the case study. 5. "PV Maximum Area per rooftop.xlsx" is the maximum area on each rooftop available for solar PV installation taken from the Sonnendach data set ( Please note that all other input variables are indicated in Appendix B. The output data from the optimisation includes three file types for the three years (2018, 2035, and 2050) and for the Pareto optimum solutions and the reference case solutions: 1. "Sizing and Storage Operation" includes the sizing of conversion and storage technologies (sheets "PVCapacity" for PV and "TechCapacity" for all others) and the selection of vehicle technologies (sheet "Car_selection"). The charging, discharging (sheets "ChDsch"), and storage level ("Level") of all storage technologies for each Pareto solution are also included. The discharging of the vehicles back to the buildings is also in ("VBiDi"). This sheet also includes the calculation of the costs ("TechCost") and emissions ("TechCO2") 2. "Conversion Tech and Vehicle Charging" includes the energy consumed by conversion technologies ("InOps") and the energy produced by conversion technologies ("OutOps"). The PV output has its own tab in ("PVOps"). Vehicle charging in the community or at home is performed in ("VCharg") and public charging is performed in ("PCharg"). 3. "Export and Import" includes the energy carriers exported ("Export") and imported ("Import") into the system.



Energy Engineering, Multi-Objective Parameter Optimisation, Distributed Energy System, Engineering of Energy Storage Systems, Distributed Energy Storage