There is an obvious and indisputable need for an increase in the efficiency of energy utilisation inbuildings. Heating, cooling and lighting appliances in buildings account for more than one third of theworlds primary energy demand. In turn, building stock is a major contributor to energy-relatedenvironmental problems.
In this paper, a new optimal design method for buildings and urban energy systems is proposed. Alsoits applicability is analyzed through a simple case study. Genetic Algorithms (GA) which can deal withnonlinear optimization problems is adopted for this optimal design method. This method has twooptimization steps, selection of equipment capacity and selection of the best operational planning.These optimization problems cannot be solved separately due to the strong relation between thecapacity size and operation efficiency of equipment.
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