Optimisation: Using Resources More Efficiently
Our common obligation to handle global resources and energy with more social responsibility increases exponentially in the face of unabated environmental pollution. Decision makers face a world of ever more complex and interconnected resource structures and decision-making aspects. Even if all information about all individual components and their interactions were made available, human intellect would still not be capable of processing all data and come to relevantly applicable optimal solutions.
Nevertheless: a mathematical solution can be derived, provided that the network structures of primary energy markets, procurement contracts, power plants, storage facilities, production processes, CO2 markets, and end product markets can be mapped as interlinked structures, which allow the capture of behavioural patterns of individual components in order to create and optimise equations. This methodology, however, requires profound and in-depth knowledge of the relevant specialist fields, market player interactions, and highly sophisticated IT technology.
Energy supply companies typically have a lot of unused potential for cost savings and profit increase, but the impact of decisions regarding energy and resource efficiency optimisation is very difficult to quantify in the overall scheme of operations. Optimised solutions can only be achieved if all restrictions and all framework conditions can be mapped in their entirety, including time variables and targets.
Optimisation software in support of decision-making processes will select the best of many possible solutions, transforming overwhelming data complexity into clear statements and achievable efficiency targets.