Usage of peak functions in heat load modeling of district heating system

Abstract

This paper describes the usage of peak functions in the heat load modeling of district heating system. Heat load is approximated by the sum of time dependent and temperature dependent components. The temperature dependent component is approximated using sum of two peak functions and temperature dependent component is approximated using generalized logistic function. The model parameters are estimated using Particle Swarm Algorithm.