Use this URL to cite or link to this record in EThOS:
Title: Modelling of flexible heat demand and assessing its value in low carbon electricity systems
Author: Dejvises, Jackravut
ISNI:       0000 0004 2728 6627
Awarding Body: Imperial College London
Current Institution: Imperial College London
Date of Award: 2012
Availability of Full Text:
Access from EThOS:
Access from Institution:
This thesis presents a thermo-electrical modelling approach for demand response services through Heating Ventilation and Air Conditioning (HVAC) systems. The starting point of the approach is to gain insights on the heating and cooling energy required to keep a building at predefined temperature settings. These studies are supported by the simulation engine EnergyPlus, which is used to generate base-case (uncontrolled) consumption scenarios. Then, a number of different control actions are simulated to study how the energy demand and the indoor temperature profile of different buildings react to such control actions. The relations between user’s comfort levels and temperature setting point variations and durations of the control are explored for different types of buildings. In order to map thermal loads to electrical loads, synthetic and general models of reversible HVAC devices are developed through a so-called black-box approach, whereby input-output functions are generated to link the equipment performance to indoor and outdoor temperatures in both heating and cooling operation. A mathematical formulation of these performance functions is developed from real data. A flexible demand strategy algorithm that maximises the benefits of flexible heat demand is finally presented. It allows selection of an optimal combination of control strategies for the different devices involved in the analysis. The algorithm is able to select type, number, and duration of operation of the HVAC systems so as to maximise the sought benefits, e.g., support of system balancing task, network constraint management. This can ultimately lead to facilitate efficient integration of intermittent generation and enhance the utilization of existing network assets in future low carbon electricity systems. The present heating and domestic hot water demands of UK residential buildings have been modelled and validated with the national gas consumption. The model is used to predict future HVAC demand of the UK residential building in year 2050.
Supervisor: Strbac, Goran Sponsor: Government of Thailand
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral