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Optimal Installation of Heat Pumps in Large District Heating Networks Martina Capone, Elisa Guelpa, Vittorio VerdaEnergy Department, Politecnico di Torino, Corso Duca Degli Abruzzi 24, 10129 Torino, ItalyPublished in: Energies, 2023, 16(3), 1448. DOI: 10.3390/en16031448 Introduction Power-to-heat technology plays a crucial role in decarbonizing energy systems. The integration of large-scale heat pumps (LHPs) within district…
Optimization Strategies for District Heating Systems with Thermal Energy Storage Authors: Martina Capone, Elisa Guelpa, Vittorio VerdaRead the full article here: Optimization Strategies for District Heating Systems Introduction District Heating (DH) systems are a key component in the transition toward sustainable energy solutions. This study by Martina Capone, Elisa Guelpa, and Vittorio Verda explores innovative…
Two-Stage Stochastic Programming for District Cooling Network Optimization Under Uncertainty Authors: Manfredi Neri, Elisa Guelpa, Vittorio VerdaSource: ScienceDirect – Applied Thermal Engineering Introduction The optimization of district cooling networks is crucial due to the high capital costs associated with their installation and operation. Traditional deterministic models often fail to account for uncertainties in cooling demand…
Predicting Laminar Flow Velocity Profile Using Physics-Informed Neural Networks (PINNs) Introduction A Physics-Informed Neural Network (PINN) is a powerful tool for predicting laminar flow velocity profiles within channels, essential for designing efficient thermal and fluid systems. While traditional CFD methods require complex meshing and high computational resources, PINNs integrate physical laws directly into neural networks,…
Machine Learning Optimization for Cooling Systems and Sensible Thermal Storage Overview In this simulation, we developed an innovative approach to optimize electricity consumption in building cooling systems. The project integrates advanced machine learning techniques with a sensible cold thermal storage system to intelligently manage energy use based on predictive analytics. Objectives of the Project Highlights…
Analysis of Heat Transfer Through an Insulated Pipe Introduction Pipe insulation is essential in minimizing heat transfer losses and improving energy efficiency in industrial and HVAC applications. Without proper insulation, significant thermal energy escapes, leading to higher operational costs and reduced system performance. This analysis explores how pipe insulation affects heat loss, determines the critical…
Steam-to-Air Heat Exchange: A Comprehensive Guide Introduction The steam-to-air heat exchange process plays a vital role in industrial heating, HVAC systems, and power generation. Steam, due to its high enthalpy and excellent heat transfer capabilities, is widely used as a heating medium in various industries. By efficiently transferring thermal energy to air, steam ensures uniform…
Optimizing Air Mixing Box Design with Python and SolidWorks Simulation Introduction Air mixing boxes play a crucial role in ensuring efficient airflow management in various engineering applications. They help in blending multiple air streams at different temperatures to achieve uniform thermal distribution. In modern engineering, numerical simulations and computer-aided design (CAD) tools have become essential…
Optimizing Refrigeration Cycle Performance – EES code Introduction In modern HVAC and refrigeration systems, maximizing efficiency and optimizing performance are critical for reducing energy consumption and operational costs. This analysis focuses on a thermodynamic evaluation of a refrigeration cycle using R410A, considering key components such as the evaporator, condenser, expansion valve, and compressor. The objective…
Erfan Haghighat Damavandi – Politecnico di Torino Phase Change Materials (PCM): A Breakthrough in Thermal Energy Storage Introduction Phase Change Materials (PCM) are innovative substances that can store and release thermal energy by transitioning between solid and liquid phases. Unlike conventional materials, PCM utilizes the latent heat of phase change, making it highly efficient for thermal energy storage (TES) applications….