The thesis investigates the application of ice thermal storage technology to situations where the price
of electricity varies continuously with instantaneous network demand. A central hypothesis is
postulated in chapter 1, which states:
"A variable electricity pricing structure, in which unit price continuously varies in response to
instantaneous network demand, enhances the opportunities and benefits of ice thermal storage. The
benefits both financial and environmental are dependent on the establishment of control and design
strategies which optimise performance by matching refrigeration load with the instantaneous
electricity price. "
For ease of reference, the form of pricing described above is referred to in the thesis as 'real time'
electricity pricing. The 'pool price' which is used to facilitate the competitive electricity awkct in
England and Wales, is one of the foremost examples of real time pricing. The thesis therefore uses
the electricity supply industry in the UK as its research vehicle. Notwithstanding this, the work
contained in the thesis can be applied to any country which applies real time electricity pricing
mechanisms.
The validity of the hypothesis is assessed in the thesis through the development of a variety of
numerical and computer models. These models fall into two distinct categories; those concerned with
predicting and optimising the financial benefits of ice thermal storage, and those concerned with
predicting and optimising the environmental benefits of ice thermal storage.
Chapters 2,3 and 4 should be treated as support chapters, which equip the reader with the prerequisite
knowledge necessary to understand the research work contained in the later chapters. As
such, these chapters contain, respectively, a description of the electricity supply industry in the UK, a
discussion of demand side management in the UK, and a description of the technology involved in ice
thermal storage. The parametric study contained in chapter 4 is however an original piece of research
work by the author.
The models developed to evaluate and optimise the economic benefits of ice thermal storage are
presented in chapters 5 and 6, and are applied to contrasting theoretical case study applications,
namely an office building and a dairy. In chapter 5a 'long hand' numerical analysis technique is
used. In chapter 6 this technique is rationalised and developed into a computer model for optimising both the design and control of ice storage installations in real time electricity pricing applications.
The environmental studies are presented in chapter 7. These concentrate on the ability of ice thermal
storage to reduce carbon dioxide emissions. Although the overall objective of the chapter is to
evaluate the carbon dioxide emissions associated with ice thermal storage, the bulk of the chapter is
concerned with the development of a model for predicting the carbon dioxide emissions per kWh of
delivered electrical energy in England and Wales on a time related basis. The development of this
'time of day' carbon dioxide model is one of the main objectives of the thesis. Having established this
model, it is then used to analyse the carbon dioxide emissions associated with the dairy case stud