Retscreen method used to quantify current shading estimates.
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- Andrew Junior West
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1 Retscreen method used to quantify current shading estimates. This method was used based on resent past data collections and current known data and was preformed on 7/5/9 for the City of Kendrick Idaho. Refer to the two attached pages : The attached page data is area specific data provided in the program. The attached page 2 data is entered as followed Enter Pool Area on proposed side will cause base case side to auto update. In Base case data was entered as followed.. Cover Usage (6 hrs/day). 74 degrees is a known current reading. Makeup water (the leak) is roughly 5 gal/day so 5 * 7 = 35, gal. 35, gal. is roughly 25% of 36, gal.(the Pool Volume). So makeup is 25%/week. Set wind to 5% due to Pool location. Set shading % for now. Pool was opened approx. June 5th so 5% enter in June. It is now at July 5th, so 5% entered in July. Supply water temperature Steve H. said started at approx. 52 degrees (min) June 5th. Estimating supply temperature should be around 58 degrees now (max) July 5th. Go down to Heating system ignoring anything in-between. Pick some fuel type, any will do, Using Propane and picking % efficient. Now notice (if you have the program) you will see fuel consumption used e.g., 6 gals. But, as is known, there is no fuel is being used.
2 This then in fact indicates the only way that pool temperature achieved a 74 degree reading is the sun and ambients such as air temperatures, earth temperatures, heating days etc. However, the program accounts for air temperatures, earth temperature, heating and cooling on the title page. This data has been gathering by NASA over many years and is pre-packaged. As stated above, the only heat input variable unaccounted for now is the sun and the data entry for % shade indicates the sun never is on the pool. Now reducing the shading percent entry slowly in effect, is letting the sun s energy make up for the pool s 74 degrees that is known to exist. This is done while at the same time the propane usage that is known not to exist approaches zero. Otherwise put.the propane s energy contribution is being forced down by the program because the user is increasing the sun s energy contribution (the only energy contribution) by manually lowering the percent of shading. At the point the propane just goes to zero, the current heat measured in the water must be at the point where the adjusted percent of shading is such that it just allows for the precise amount of sun energy from the data points June 5th to July 5 th to enter the pool to achieve the 74 degrees. Thus, accounting for the true percent of sun energy based on shading and as shown on page two, the percent is calculated to be 42%.
3 Clean Energy Project Analysis Software Project information Project name Project location Prepared for Prepared by See project database Kendrick S. Moyer Project type Technology Analysis type Heating value reference Show settings Heating Method Higher heating value (HHV) Site reference conditions Climate data location Select climate data location Lewiston Nez Perce Cnty A Show data Unit Climate data location Project location Latitude N Longitude E Elevation ft,434,434 Heating design temperature F 6.7 Cooling design temperature F 93.7 Earth temperature amplitude F 39.9 radiation - horizontal Month Air temperature Relative humidity Atmospheric pressure Wind speed Earth temperature Heating degree-days F % kwh/m²/d kpa mph F F-d F-d January % February % March % April % May % June % July % August % September % October % November % December % Annual % ,897 2,764 Measured at ft Cooling degree-days Complete Energy Model sheet RETScreen Minister of Natural Resources Canada NRCan/CanmetENERGY 2//29
4 RETScreen Energy Model - Heating project Heating project Technology Load characteristics Application Swimming pool Hot water Unit Base case Proposed case Type Outdoor Area ft² Cover use h/d 6. Temperature F 74. Makeup water %/w 25% Wind sheltering - season of use % 5% Solar shading - season of use % 42% Percent of month used Month January February March April May June 5% July 5% August September October November December Supply temperature method User-defined Water temperature - minimum F 52. Water temperature - maximum F 58. Unit Base case Proposed case Energy saved Heating MWh.. #DIV/! Incremental initial costs Resource assessment Solar tracking mode Slope Azimuth Fixed Show data radiation - horizontal radiation - tilted Type Unglazed $ - Manufacturer Model Techno-Solis Swimmaster SM / C2TS Gross area per solar collector m² Aperture area per solar collector m² Fr (tau alpha) coefficient Wind correction for Fr (tau alpha) s/m Fr UL coefficient (W/m²)/ C Wind correction for Fr UL (J/m³)/ C Number of collectors #DIV/! Solar collector area m². Capacity kw. Miscellaneous losses % See technical note See product database Balance of system & miscellaneous Heat exchanger yes/no No Miscellaneous losses % Pump power / solar collector area W/m² Electricity rate $/kwh Summary Electricity - pump MWh. Heating delivered MWh. Solar fraction % - Heating system Project verification Base case Proposed case Energy saved Fuel type Propane - gal Seasonal efficiency % Fuel consumption - annual gal. #N/A #N/A Fuel rate $/gal.4 #N/A Fuel cost $ #N/A 2//29
5 Emission Analysis GHG emission Base case tco2. Proposed case tco2. Gross annual GHG emission reduction tco2. GHG credits transaction fee % Net annual GHG emission reduction tco2. is equivalent to. Cars & light trucks not used GHG reduction income GHG reduction credit rate $/tco2 Financial Analysis Financial parameters Inflation rate % 2.% Project life yr 2 Debt ratio % Initial costs Heating system $ Total initial costs $.% Incentives and grants $ Annual costs and debt payments O&M (savings) costs $ Fuel cost - proposed case $ #N/A Total annual costs $ #N/A Annual savings and income Fuel cost - base case $ ive cash flows ($) Cumulative cash flows graph //29
Retscreen method used to estimate overall heating needs and costs.
Retscreen method used to estimate overall heating needs and costs. This method was used based on resent past data collections as well as current known data and was prepared on 12/10/09 for the City of
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