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https://github.com/hongyuanjia/sinberwell
Energy simulation for SinBerWELL
https://github.com/hongyuanjia/sinberwell
Last synced: about 1 month ago
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Energy simulation for SinBerWELL
- Host: GitHub
- URL: https://github.com/hongyuanjia/sinberwell
- Owner: hongyuanjia
- Created: 2020-11-12T17:56:16.000Z (about 4 years ago)
- Default Branch: master
- Last Pushed: 2022-02-22T02:05:20.000Z (almost 3 years ago)
- Last Synced: 2024-10-13T19:09:00.874Z (2 months ago)
- Language: HTML
- Homepage:
- Size: 2.51 MB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Building energy simulation on radiant cooling + ventilation
[](https://rstudio.cloud/project/2326226)
## How to access
You can try out this project as long as you have a browser and an
internet connection. [Click here](https://rstudio.cloud/project/2326226) to
navigate your browser to an RStudio Cloud instance. Alternatively, you can clone
or download this code repository and install the required R packages by calling
`renv::restore()`.
## How to run
* In the R console, run `targets::tar_make()`
## File structure
The main files are:
```
.
├── renv.lock
├── R
│ └── functions.R
├── data-raw
├── data
│ ├── idf
│ │ └── ...
│ ├── results
│ │ └── ...
│ └── sim
│ └── ...
└── _targets.R
```
| File | Purpose |
| --- | --- |
| [`renv.lock`](https://github.com/hongyuanjia/SinBerWELL/blob/main/renv.lock) | The [renv](https://rstudio.github.io/renv/index.html) lockfile, describing the state of libraries used in this projected. |
| [`_targets.R`](https://github.com/hongyuanjia/SinBerWELL/blob/main/_targets.R) | The R script that declares the targets pipeline which shows the core workflow, including model creation, data analytics and visualization. The full workflow can be rerun using [`targets::tar_make()`](https://docs.ropensci.org/targets/). |
| [`R/functions.R`](https://github.com/hongyuanjia/SinBerWELL/blob/main/R/functions.R) | An R script with helper functions to modify EnergyPlus and extract results. |
| [`data-raw/*.idf`](https://github.com/hongyuanjia/SinBerWELL/blob/main/data) | The Singapore large office reference building [EnergyPlus](https://energyplus.net/) model developed by [SinBerBEST](http://doi.wiley.com/10.1002/ente.201700564). |
| [`data-raw/*.epw`](https://github.com/hongyuanjia/SinBerWELL/blob/main/data) | The [IWEC](https://energyplus.net/weather/sources#IWEC) EnergyPlus weather file. |
| [`data/idf/`](https://github.com/hongyuanjia/SinBerWELL/blob/master/data/idf) | The processed model generated during the calibration workflow. |
| [`data/sim/`](https://github.com/hongyuanjia/SinBerWELL/blob/master/data/sim) | The individual simulation results including input IDF and EPW, ERR and table report. |
| [`data/results/`](https://github.com/hongyuanjia/SinBerWELL/blob/master/data/results) | The simulation result summary including EUI and its breakdowns, together with the energy saving compared with the baseline. |
| [`figures/`](https://github.com/hongyuanjia/SinBerWELL/blob/master/figures) | Plots about the energy savings compared to the baseline and indoor air temperature distribution. |
## Scenarios investigated
This project investigated 10 different scenarios using the Singapore large office
reference building, including:
* Baseline (data/idf/baseline.idf): Business-as-usual scenario with indoor air temperature setpoint at
23C.
See [`data/idf/baseline.idf`](https://github.com/hongyuanjia/SinBerWELL/blob/master/data/idf/baseline.idf).
* Raised indoor setpoints: Increase indoor air setpoint temperatures to 26C,
together with increased setpoints in the HVAC cooling equipments and ceiling
fan for thermal comfort compensation.
See [`data/idf/fans.idf`](https://github.com/hongyuanjia/SinBerWELL/blob/master/data/idf/fans.idf).
For radiant cooling systems, 8 different scenarios are considered:
| # | Name | Setpoint | Raidant chilled water source | Ventilation Type | Auxiliary cooling |
|---|-----------------------------------------------------------------------------------------------------------------------------------------------|------------|-------------------------------|--------------------------------|-------------------|
| 1 | [`radiant_natvent_28C.idf`](https://github.com/hongyuanjia/SinBerWELL/blob/master/data/idf/radiant_natvent_28C.idf) | 28°C ± 2°C | Constant COP chiller | Natural ventilation with 5 ACH | No |
| 2 | [`radiant_natvent_29C.idf`](https://github.com/hongyuanjia/SinBerWELL/blob/master/data/idf/radiant_natvent_28C.idf) | 29°C ± 1°C | Constant COP chiller | Natural ventilation with 5 ACH | No |
| 3 | [`radiant_natvent_vav_28C.idf`](https://github.com/hongyuanjia/SinBerWELL/blob/master/data/idf/radiant_natvent_vav_29C.idf) | 28°C ± 2°C | Constant COP chiller | Natural ventilation with 5 ACH | VAV |
| 4 | [`radiant_natvent_vav_28C.idf`](https://github.com/hongyuanjia/SinBerWELL/blob/master/data/idf/radiant_natvent_vav_29C.idf) | 29°C ± 1°C | Constant COP Chiller | Natural ventilation with 5 ACH | VAV |
| 5 | [`radiant_natvent_28C_tapwater.idf`](https://github.com/hongyuanjia/SinBerWELL/blob/master/data/idf/radiant_natvent_28C_tapwater.idf) | 28°C ± 2°C | Using tap water (assumed 25C) | Natural ventilation with 5 ACH | No |
| 6 | [`radiant_natvent_29C_tapwater.idf`](https://github.com/hongyuanjia/SinBerWELL/blob/master/data/idf/radiant_natvent_28C_tapwater.idf) | 29°C ± 1°C | Using tap water (assumed 25C) | Natural ventilation with 5 ACH | No |
| 7 | [`radiant_natvent_vav_28C_tapwater.idf`](https://github.com/hongyuanjia/SinBerWELL/blob/master/data/idf/radiant_natvent_vav_29C_tapwater.idf) | 28°C ± 2°C | Using tap water (assumed 25C) | Natural ventilation with 5 ACH | VAV |
| 8 | [`radiant_natvent_vav_28C_tapwater.idf`](https://github.com/hongyuanjia/SinBerWELL/blob/master/data/idf/radiant_natvent_vav_29C_tapwater.idf) | 29°C ± 1°C | Using tap water (assumed 25C) | Natural ventilation with 5 ACH | VAV |