Abstract
In succession to Part 1, a concrete method of optimizing distribution of facility area was explained. A case study was made on 15 combinations of residences and stores in conformity with a flowchart of planning. A method used to select the optimum combination and its area ratio among them was described and the results were stated. Details of this part are as follows : 5. Concrete method for optimum distribution of facility area 5.1 Presentation of draft plan (master plan) and arrangement of planning conditions 5.2 Examination on successful combinations of facilities 5.3 Examination about proper area ratio of facilities 5.4 Overall examination of combinations and area allocation 5.5 Determination of corrected plan 6. Conclusion As a result of the above case study, the following items were ascertained. 1) By using this planning method, not only reduction in equipment capacity, but also curtailment of energy consumption can be put into practice. 2) The planning method can be applied not only to a combination of residences+stores, but also to combinations of various facilities. 3) From such viewpoint that X (total floor area ratio) is within the practical range in the field of engineering, X ranging from 0.1 to 5.0 was described in the paper, but it is also considerable that proper theoretical values are within the range other than the above. 4) Variation factor of energy consumption, R_E=RANGE/MEAN (MAX./MEAN also axailable) was used as an evaluation value. As this value becomes smaller, the equipment capacity can be rationally designed and the total floor area ratio is optimized. The paper covers the method of distributing the facility area from a standpoint of energy consumption balance. Accordingly, when the method is applied practically, it is advisable to fully understand energy consumption best-suited for locality and to apply it to the method. In addition, a case study on electric energy was mainly explained on account of space consideration. However, when the method was applied to water energy, the similar result was obtainable. In the paper, minimum value of the variation factor, R_E, was used as an evaluation value indicating the variation of synthetic energy consumption classified by time, to evaluate through a comparative method and then good results could be obtained. Moreover, it is intended that verification will be made while applying the method to the actual redevelopment plan.
