Dynamic Anthropogenic activitieS impacting Heat emissions (DASH v1.0): Development and evaluation

• Dynamic Anthropogenic activitieS impacting Heat emissions (DASH v1.0): Development and evaluation
• DASH - is undergoing significantly development (e.g. being made more generic, more efficient, more capabilities). Currently, results are benchmarked to this version. Please contact c.s.grimmond@reading.ac.uk to find out about the most appropriate source of code

Funding Acknowledgement:

• UK-China Research & Innovation Partnership Fund through the Met Office Climate Science for Service Partnership (CSSP) China as part of the Newton Fund
• EPSRC (Reading)
• NERC APEx:10.13039/501100000690::NE/T001887/1
• ERC-2019-SyG: 855005 urbisphere

Overview

• Source code and input data for v1.0 of the Dynamic Anthropogenic activitieS impacting Heat emissions model.
• DASH considers both urban form and function in simulating QF by use of an agent-based structure that includes behavioural characteristics of city populations. This allows social practices to drive the calculation of QF as occupants move, varying by day type, demographic, location, activity, socio-economic factors and in response to environmental conditions. DASH has simple transport and building energy models to allow simulation of dynamic vehicle use, occupancy and heating/cooling demand, with subsequent release of energy to the outdoor environment through the building fabric.
• The entire model comprises two parts:
• 1. Agent interaction (under 2.movementtravel)
• 2. Agent reaction (under.energyQfcalcs
• README files can be found in each folder with quick start guides for each.

1.dataprocessing

• Currently in python 3.7
• ## what does this code do?
• Various scripts transform elements of raw data to input data readable by DASH
• ## what does this folder include?
• Input Data
• Processed Data
• ─ source-code # scripts for creating input data from raw data
• ## how to run this code?
• 1. Different elements are currently run separately.
• # 2.movementtravel
• ## what does this code do?
• 1. Determines the travel and movement behaviours.

• 2. Distributes people across the city.

• 3. Provides occupancy and transport levels across the study area.

• ## What does this folder include?

• run `tree . -d -L 1` to show the following (may vary over time)

• Data # input data

• ├── Runs # runs with cfg and output

• ├── py2-backup.tgz # backup of py2 files before 2to3 conversion

• ├── gen-traveltime-py2 # script to generate travel functions in py2

• └── source-code # source code
• ## How to run this module
• Before run this code, 2to3 was executed to convert all code into py3. the py2 version is secured into `py2-backup.tgz` archive
  • QUICK START
  • Run the code:
  • 1. entry point: `source_code/Main.py`: `python3 Main.py`# 3.energyQfcalcs## what does this code do?
  • 1. To determine the occupancy levels in buildings
  • 2. To determine distribution of traffic on transport network
  • 2. To calculate energy use - giving Qf (B, T, and M)## what does this folder include?
  • run tree . -d -L 1 to show the following (may vary over time)
  • ├── Data # input data
  • ├── Runs # runs with cfg and output
  • ├── py2-backup.tar # backup of py2 files before 2to3 conversion
  • └── source-code # source code## how to run this code?
  • 1. create and install the C code extension
  • in directory `STEBBS`, run:
  • to install the C extension.
  • 2. main file: `Main.py`
  • switch the same folder of this `README.md` file, run the following:
  • python3 source_code/Main.py
  # 4.visualisation

• ## what does this code do?

• 1. Produces graphs of results from 2.movementtravel and 3.energyQfcalcs

• ## what does this folder include?

• run `tree . -d -L 1` to show the following (may vary over time)
• └── source-code # scripts for creating plots from results

• ## how to run this code?.

• Different elements are currently run separately.