Verified
Major data items which should be incorporated into the new system, the rationale for their inclusion, and the level of detail necessary include the following:
Number of customers: The customer count or number of customers ought to be anticipated by month, till the time customer growth is moderately regular. In that case a base customer count should be used in combination with a growth factor. The customer count should further be classified into categories founded upon use. This will make easy the demand estimation. The categories can be residential, commercial heating, commercial non heating, industrial heating, industrial non heating, large industrial etc.
Weather data: This data will help to project the heating requirements as a function of weather. These projections should be incorporated monthly. For the first year, meteorological trends should be put to use as they may suggest strangely warm or cold year. For the subsequent years, average monthly weather data can be put to use.
Heating factors: Heating factors are data which translate weather data into demand by customers. Each type of customer using heating should be accounted for like residential, commercial heating, and industrial heating. The top 25 customers can be left as their requirements are not dependent on whether immensely. The heating factors may not change every month until it is seasonal relationship is found to exist or that future dealing may bring impacts.
Customer unit: Demand The average monthly consumption for each commercial and industrial non heating customer should be supplied, either constantly or changing with time to reflect both seasonal fluctuations and longer term trends for future planning. This data can also be put to use to forecast the non heating segment of commercial and industrial customer demand.
Sales forecasts: The sales individually for all important 25 industrial accounts ought to be predicted each month for the first year of the five year plan. For next four annual growth rates can be used. Revenue class by the system will project sales for other customers for Heating and non heating.
Customer rate structure: The customer rate structure ought to offer at the revenue class level monthly rate information, i.e., residential, commercial, and industrial. This data should be produced monthly to supply periodic rate changes by revenue class.
Supplier contract: Terms For every supply contract, the contract term like beginning and end dates, monthly volumes, unit costs, and take-or-pay conditions should be retained.
Storage field capacit: The gas storage field capacity is needed sequentially to calculate if gas is in storage that can be withdrawn to appendage pipeline supply.
Priority system: A priority system should be made for situations in which the company may require to limit service to the consumers for the reason of insufficient gas supply.