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PhD Thesis - Energy Systems Research Unit - University of Strathclyde

PhD Thesis - Energy Systems Research Unit - University of Strathclyde

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a system for the sustainable production <strong>of</strong> energy for India for the year 2020 by<br />

minimising the cost/efficiency ratio within the bounds <strong>of</strong> social acceptance,<br />

reliability, demand, and potential supply. This model, however, looks at the<br />

energy requirements for the year as a whole, and does not take into account the<br />

variable nature <strong>of</strong> the intermittent supply technologies. It can, therefore, not be<br />

used to aid decisions about the suitable type and sizing <strong>of</strong> storage devices or<br />

auxiliary plant that may be required.<br />

Another system, RETScreen [13], has been developed for the Canadian<br />

government. This is an Excel spreadsheet based model, which can be used<br />

worldwide to evaluate the energy production, life-cycle costs, and greenhouse<br />

gas emissions reductions for various single renewable energy technologies.<br />

These technologies include wind, PV, biomass heating, solar water and air<br />

heating, small-scale hydro, passive solar heating, and the use <strong>of</strong> ground source<br />

heat pumps. These models provide a good in-depth technical and economic<br />

assessment <strong>of</strong> these technologies used on their own, but do not consider the<br />

integration <strong>of</strong> these systems and, again, deal with annual energy requirements<br />

only.<br />

Ramakumar et al. [14,15] describe the use <strong>of</strong> the IRES-KB system to allow the<br />

technical analysis <strong>of</strong> potential renewable energy supply systems for remote<br />

areas. Demands for electricity, heat and mechanical power are considered, and<br />

these may be met by biogas from digested biomass, solar-thermal energy,<br />

hydropower, wind turbines, and PV panels. The year is split up into seasons,<br />

each <strong>of</strong> which is characterised by a set <strong>of</strong> daily demands and available resources.<br />

This information is input as energy needs per day for refrigeration, cooking,<br />

lighting etc, and as available wood and crop residues, volume <strong>of</strong> falling water,<br />

and a choice <strong>of</strong> pre-programmed cloud cover and wind regimes. These demands<br />

and supplies are split up throughout the day in hourly intervals, and some<br />

variability is added to the intermittent supplies through the cloud cover and wind<br />

regimes chosen, in order to analyse the required storage and reserve plant sizes.<br />

This system provides a good seasonal evaluation <strong>of</strong> the energy supplies and<br />

demands <strong>of</strong> an area, however, it lacks the more in-depth temporal analysis that<br />

would be necessary when considering more complex systems.<br />

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