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M+M Consulting Engineering a Better Solution Engineers |
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Engineering a Better Solution |
Renewable
Energy options and Combined Heat and Power Provided here is a typical analysis we performed for a
client. We consider a broad range
of electrical demand and thermal heat recovery options. Solar and wind speed data can be
generated from monthly average wind speeds, their distribution pattern, a power
curve scaling factor, and wind speed scaling factor to account for air density
and anemometer height. These
parameters specify the daily pattern, hourly variability, and long-term
distribution of the resulting hourly wind data.
With a user specified aerogenerator power curve, realistic short, medium,
and long-term patterns can be estimated.
Figure 1: Daily Radiation and Clearness Index Figure 2 shows a typical daily electrical load profile obtained from historical records from a recent project. Each month considers a different profile that accounts for weekdays and weekends. Randomness is added to the daily profiles so that every day is unique, but matched to historical records. Historical billing rates are used to establish the base case for electrical costs.
Figure 2: Electrical Load Profile An engine or fuel cell, capable of
load following and configured for combined heat and power (CHP) may also be
considered. Power generation and
fuel consumption is estimated from part load efficiency curves. Heat recovery is assumed to be 50% with a useable thermal load
profile estimated from historical records.
Figure 3 shows the thermal load profile which is determined from monthly
fuel usage with daily variation being generated by interviewing occupants and
observing building use. Separate
weekday and weekend profiles are used since occupancy varies considerably
between the two. A natural gas
boiler is assumed to meet any thermal requirement that cannot be met by CHP heat
recovery.
Figure 3: Thermal Load Profile
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