结果是令人赞叹的：实际能源消耗比预测减少了65%，同时内部温度一直稳定在最适宜的范围内。
The results were impressive: actual energy consumption was 65% less than predicted, with internal temperatures remaining stable within the optimum range.
同时，讨论了添加剂的添加量范围和适宜的结晶温度。
Meanwhile, the range of additive contents and crystal temperature were discussed.
按照推荐的火腿储藏低温及霉菌适宜生长温度范围，选取五种不同温度建立生长预测模型。
As the recommended ham's storage temperature and mould's optimal temperature range, there were five different temperatures determined to establish growth predictive models.
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