Python code and Jupyter notebooks accompanying the paper: Christian Ghiaus (2022) Computational psychrometric analysis as a control problem: case of cooling and dehumidification systems, International Journal of Building Performance Simulation, 15(1), pp. 21-38, DOI: 10.1080/19401493.2021.1995498, (open access preprint hal-03484064) Instructions In order to change the parameters used in a psychrometric analysis: Start on my.binder the full repository (slower launch) or the repository containing only the figures (faster launch). In Console or in Terminal, run pip install ipympl==0.9.3 or conda install ipympl=0.9.3. Select a Jupyter notebook *.ipynb and double click or select Open With / Notebook. Run the Jupyter notebook by clicking the double arrow icon >> or by selecting from the pull-down menu: Kernel / Restart Kernel and Run All Cells... then by clicking: Restart. Change the values of the widgets for the psychrometric analyses presented in the paper. Contents Preprint_PsychroAn.pdf the preprint of the accompanying paper. cool.py Python module implementing the psychrometric analysis described in the paper. cool_fig.py Python module for interactive figures presented in the paper. psychro.py Python module for psycrhrometric calculations. cool_fig_06.ipynb Figure 6 from section 5.1. Control of indoor air temperature & humidity in CAV systems with reheating. cool_fig_08.ipynb Figure 8 from section 5.2. Control of indoor air temperature in CAV systems without reheating. cool_fig_10.ipynb Figure 10 from section 6.1.1. Mix-air bypass control of indoor air temperature & humidity in CAV systems. cool_fig_12.ipynb Figure 12 from section 6.2.1. Control of indoor air temperature and humidity in VAV systems without reheating. cool_fig_14.ipynb Figure 14 from section 6.2.2. Control of supply and indoor air temperatures in VAV systems without reheating. cool_fig_16.ipynb Figure 16 from section 6.2.3. Control of indoor air temperature and humidity and of supply air temperature in VAV systems with reheating. Licence Creative Commons Attribution 4.0 International (CC BY 4.0).

{"references": ["C. Ghiaus (2014) Linear algebra solution to psychometric analysis of air-conditioning systems, Energy, vol. 74, pp. 555-566, DOI: 10.1016/j.energy.2014.07.021", "C. Ghiaus (2016) Analyse psychrometrique des syst\u00e8mes de climatistion. Revue G\u00e9n\u00e9ale du froid et du conditionnement d'air, Jan-Fev. pp. 38-42", "C. Ghiaus (2015) Steady-state psychrometric analysis of HVAC circuits, Proceedings of BS2015, 14th Conference of International Building Performance Simulation Association, 7-9 Dec. 2015, Hyderabad, India, http://www.ibpsa.org/proceedings/BS2015/p2121.pdf", "C.\u00a0Ghiaus (2022) Computational psychrometric analysis as a control problem: case of cooling and dehumidification systems, International Journal of Building Performance Simulation, 15(1), pp. 21-38, DOI:\u00a010.1080/19401493.2021.1995498"]}