Heat Load Numerical Prediction for District Heating System Operational Control

OpenCL-based Algorithm for Heat Load Modelling of District Heating System

This paper presents a parallel approach to estimate the parameters in the heat loading of a district heating system by use of the traditional particle swarm optimisation (TPSO) on the Graphic Processing Unit (GPU) using OpenCL. The running time of the algorithm is greatly reduced compared to running on CPU. The heat load is approximated by the sum of time dependent and temperature dependent com...

Operational thermal load forecasting in district heating networks using machine learning and expert advice

Forecasting thermal load is a key component for the majority of optimization solutions for controlling district heating and cooling systems. Recent studies have analysed the results of a number of data-driven methods applied to thermal load forecasting, this paper presents the results of combining a collection of these individual methods in an expert system. The expert system will combine multi...

A Neuro-Fuzzy Based Adaptive Set-Point Heat Exchanger Control Scheme in District Heating System

The control of heat exchange stations in district heating system is critical for the overall energy efficiency and can be very difficult due to high level of complexity. A conventional method is to control the equipment such that the temperature of hot water supply is maintained at a set-point that may be a fixed value or be compensated against the external temperature. This paper presents a no...

Heat Load Prediction in District Heating and Cooling Systems through a Recurrent Neural Network with Data Characteristics

Heat load prediction in district heating and cooling (DHC) systems is one of the key technologies for economical and safe operations of DHC systems. The heat load prediction method using a three-layered neural network proposed by the authors has been used in an actual DHC plant on a trial basis. However, there exists a drawback that its prediction becomes less accurate in periods when the heat ...

Numerical modelling of district heating networks