In the energy trading rounds, the units start at their previous energy allocation levels and trade energy units based on relative utility level. The zones are divided into prospective buyers and sellers based on where they fall with respect to the average utility level, those who fall below are buyers and those who are above are sellers. There is no actual currency in the exchange of energy units; instead the units are exchanged based on the value each zone places on the particular unit of energy. In order for the buyers to energy units from the sellers, their price” is “purchase” “buying calculated in the same way the value was computed in the original energy allocation. The sales price for the sellers is similarly computed but is taken as the minimum average loss over losing up to three units of energy. In order for the exchange to take place, the buyer has to be willing to pay more than what the seller is offering. The trading could be designed in two ways. In one approach, the highest bidders buy from the lowest sellers until no buyers are willing to pay the purchase price. Alternatively, the maximum number of transactions can be forced to occur by matching as many buyer-seller pairs as possible. This second method is selected to allow as many transactions to occur as possible per round. This buying and selling process continues iteratively until there are no buyers willing to pay what the sellers require or the trading results in back-and-forth cycling. At this point, zones with more energy units allocated than they need to remain at the peak of the utility curve are stripped of their extra units. After this process is finished, any additionally available energy units are allocated in an identical manner to the original allocation scheme, first according to utility and then disbursed evenly to give room for increased demand. In the absence of concerns as to the expediency of the processing of the data and data transmission requirements, the building-level server could perform a global optimization of the same form as the zone managers for the entire building, constructing a global influence matrix for the entire building system. As the zones are considered entirely independent of one another, there are no coupling terms between the zones in the global influence matrix. The solution to this problem would be guaranteed to yield a globally optimal solution unlike with the greedy solution.
In the energy trading rounds, the units start at their previous energy allocation levels and trade energy units based on relative utility level. The zones are divided into prospective buyers and sellers based on where they fall with respect to the average utility level, those who fall below are buyers and those who are above are sellers. There is no actual currency in the exchange of energy units; instead the units are exchanged based on the value each zone places on the particular unit of energy. In order for the buyers to “purchase” energy units from the sellers, their “buying price” is calculated in the same way the value was computed in the original energy allocation. The sales price for the sellers is similarly computed but is taken as the minimum average loss over losing up to three units of energy. In order for the exchange to take place, the buyer has to be willing to pay more than what the seller is offering. The trading could be designed in two ways. In one approach, the highest bidders buy from the lowest sellers until no buyers are willing to pay the purchase price. Alternatively, the maximum number of transactions can be forced to occur by matching as many buyer-seller pairs as possible. This second method is selected to allow as many transactions to occur as possible per round. This buying and selling process continues iteratively until there are no buyers willing to pay what the sellers require or the trading results in back-and-forth cycling. At this point, zones with more energy units allocated than they need to remain at the peak of the utility curve are stripped of their extra units. After this process is finished, any additionally available energy units are allocated in an identical manner to the original allocation scheme, first according to utility and then disbursed evenly to give room for increased demand. In the absence of concerns as to the expediency of the processing of the data and data transmission requirements, the building-level server could perform a global optimization of the same form as the zone managers for the entire building, constructing a global influence matrix for the entire building system. As the zones are considered entirely independent of one another, there are no coupling terms between the zones in the global influence matrix. The solution to this problem would be guaranteed to yield a globally optimal solution unlike with the greedy solution.
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