Aim
Our project proposal is to test the impact of data fidelity on plant sizing, effecting payback projections.
In addition a feasibility study was conducted for two live sites, giving the best final option for:
John Street Island in Strathclyde
University
Eaglesham Village East Renfrewshire (District Heating)
The analysis on data fidelity involved 3 different scenario’s of data ranging from half
hourly data profiles to monthly averaging. These scenario’s were then plant sized by four
criteria:
Base load
Half load
Peak load
Heat load
The feasibility studies conducted on the two sites, resulted in baseload electricity
sizing being the best option for the John Street Island and half load sizing the best option
for Eaglesham village.
The financial returns were:
| Payback | John Street Island | Eaglesham Village |
| Unfavourable Case | 12(DCF) | No Payback |
| Favourable Case | 4.9(DCF) | 19.3(Simple) |
A summary of the conclusions obtained are:
Different quality demand data
submitted to the same plant sizing criteria cause significant differences in the obtained
plant sizes.
Lower quality data induces an
underestimation of real payback times.
Data fidelity seems to be equally
important for both energy usage types studied (i.e. the two case studies)
The payback for the John Street
Island could be reasonably attractive depending on the variable parameters considered in the
sensitivity analysis.
For Eaglesham Village the
introduction of CHP seems to be economically unfeasible at the moment due to the very low
density of energy demand.