Thermal Engineering Systems in Python (TESPy). This package provides a powerful simulation toolkit for thermal engineering plants such as power plants, district heating systems or heat pumps.
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Updated
May 23, 2024 - Python
Thermal Engineering Systems in Python (TESPy). This package provides a powerful simulation toolkit for thermal engineering plants such as power plants, district heating systems or heat pumps.
Home automated terrarium/aquarium or other enclosed environment with a Raspberry Pi
Simulador termodinâmico 2D interativo que abranje os conceitos de contração térmica, dilatação térmica e lei de resfriamento de Newton, com o objetivo de auxiliar na compreensão e aplicação prática dos princípios termodinâmicos fundamentais por parte dos graduandos em Engenharia Física e Física.
HVAC Engine: Psychrometrics (Humid Air) analysis Java library. Humid air properties and thermodynamic processes, flows, heating, cooling, air mixing and more. Immutable, thread-safe, very accurate.
This is the source code for a prototype Arduino-based thermal stabilization system.
Model-independent inference of laser intensity
Indoor Analytics (IAN): The Spring Boot based REST API illustrating the capabilities of HVAC|Engine and Utility engineering libraries. Psychrometry and thermodynamic processes in once place.
2018-2024: Re-purposed PC-PSU case Raspberry Pi 4 or 5 with python OLED status display, pcie-nvme, usb-ssd or hdd, switched 5v power, usb front and rear sockets, audio DAC, and a large, silent cooling fan.
Source code of web app for the visualization of an optimization methodology applied to a combined cooling system for solar thermal processes within the Spanish national project SOLHYCOOL, from the Plataforma Solar de Almería - CIEMAT.
PCF (PiCoolFAN4) dynamic cooling for Raspberry Pi 4
Thermoregulated Airflow Cooling for Indoor Cycling
Reaching supercritical field strengths with intense lasers
Reaching high laser intensity by a radiating electron
Waterforce X 240, 280, 360 Kernel Module for Automatic Fan and Pump Control
An automated solution that cools a Raspberry Pi using basic electronic components.
This project uses Machine Learning to predict the energy efficiency of buildings based off of the building's features
RGB Cooling HAT advanced utility for YB-EPV02 and it's SSD1306.
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