SUMMARY/OUTLOOK I am going to build a household electricity simulator based on datafrom CLNR.
This simulator will be disaggregated for each appliance and for eachmosaic, in the hope of offering more refined and more credible suggestions forimplementation of DSM techniques. The CLNR TC2adata is tagged with a consumer classification system, Mosaic UK, developed byExperian. Mosaic uses over 850 million pieces of information across 450different data points to identify 15 summary groups that represent each type ofUK consumer. THE INCREASED DISAGGREGATION OF THE HOUSEHOLDELECTRICITY SIMULATOR PROVIDES US WITH GREATER INSIGHT INTO THE EFFECTIVENESSOF DIFFERENT DSM METHODS, ALLOWING FOR A MORE REFINED APPROACH TO DSM. THISMEANS DIFFERENT DSM METHODS CAN BE SELECTED AND FINE-TUNED FOR DIFFERENTAPPLIANCES.
IN THE SAME WAY, THE SIMULATOR CAN BE DISAGGREGATEDINTO DIFFERENT GEODEMOGRAPHIC SEGMENTS, OR ‘MOSAIC’ GROUPS, IN ORDER TOIDENTIFY WHICH MOSAIC GROUPS WOULD BE MOST SUITED TO DSM METHODS, AND FOR WHICHIT WOULD NOT BE WORTH DOING. THIS WOULD LEAD TO A HIGHER RESOLUTION SOLUTIONTHAT OFFERS DIFFERENT DSM SOLUTIONS, RATHER THAN A BLANKET POLICY. DIFFERENT MOSAICS ARE GOING TO HAVE DIFFERENT LOADPROFILES.
EG. A COUPLE OF YOUNG PROFESSIONALS WOULD SEE A MORE PRONOUNCED PEAK INUSAGE WHEN THEY RETURN HOME FROM WORK, AND AN UNEMPLOYED FAMILY ON BENEFITSWOULD SEE A LESS STEEP, BUT MORE CONTINUED ENERGY USAGE PATTERN. ANOTHERPARAMETER TO CONISDER WOULD BE LAZINESS, OR THE INCLINATION OF THE HOUSEHOLD TOUNDERTAKE DSM.
REFER TO MY DIFFERENT SIMULATIONS AS STRATA OF THE FULL SIMULATOR??? INSIGHT REPORTSHOWS THAT COOKER MAKES UP A LARGE PORTION OF THE LOAD AT THE PEAK TIME,BETWEEN 16:00 AND 20:00. THIS IS WHY IT SHOULD BE TARGETED FOR EFFICIENCYMEASURES AND WHY THIS SIMULATION ASSUMES EFFICIENCY IMPROVEMENTS. Efficiency couldbe incorporated into the model to provide a solution for the inflexibleappliances. A preliminary experiment undertaken for this review extracted thedaily profile of cooker use for all households on Christmas Day (day of highestcooker usage of the year). By theorising that all households would upgradetheir cooking appliance to the most energy efficient model on the market, thedaily usage was scaled down by a factor of x. This resulted in a large decreasein the peak usage, suggesting high potential for efficiency measures.The effects ofimproving efficiency could be built into the simulator, by finding the totalenergy usage of the appliance on the specific day of the simulator, andmultiplying this by a scale factor to find the decrease in total energy used.NB HOWEVER THIS WOULD NOT SHOW US THE DECREASE TO THE PEAK USAGE, ONLY TO TOTALUSAGE – NOT USEFUL?
