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Thermal depolymerization of biogas digestate                      295

           10.3.3 Uncertainty assessment of the costing estimation approach

           Reviewing the cost estimation methods utilized in this chapter, it is clear that the esti-
           mation methods utilized in this chapter incorporate the scale-of-magnitude estimate
           approach (estimations based on capacity of the plant) [60, 71, 72] and the factored
           estimated approach (estimations based on Lang factors) [58]. We must accept also that
           difficulties in estimating the total cost of each alternative plant containing equipment
           required for HTL digestate processing, nutrient recovery, and water treatment consti-
           tute an important source of uncertainty. This uncertainty may lead to an over-
           estimation or underestimation of the unit digestate processing costs of the
           alternative pathways [75].
              It is therefore necessary to assess the uncertainties in the unit digestate processing
           costs in the alternative pathways due to variations in the unit cost determinants,
           namely the annualized capital cost, the annual operating cost, and the digestate feed-
           stock rate. Uncertainties in the unit cost estimates for the alternative pathways have
           been investigated for  50% variation in the unit cost determinants. To determine the
           uncertainty in the unit processing cost, the Monte Carlo simulation method has been
           utilized in predicting the probability density of the unit digestate cost, according to the
           probability density function defined as follows [76],

                       1      1 x μ   2

               fxðÞ ¼ ffiffiffiffiffip    e 2  σ                                   (10.28)
                      2π   σ
           where x represents the value of the unit digestate processing cost for specific values of
           the annualized capital cost, the annual operating cost, and the digestate feedstock rate;
           μ represents the mean value of the unit digestate processing cost; and σ represents the
           standard deviation of the unit digestate processing cost.
              The likelihood (P) of the unit digestate processing cost to exist within a particular
           unit cost interval (a, b) is determined by the area under the curve generated by the
           probability density function as follows [76, 77],

                           ð b
                ð
               Pa < x < bÞ ¼  fxðÞ   dx                                  (10.29)
                            a
           The detailed expressions of the probability density function can be found in Ref. [77].
              A thousand different combinations of the annualized capital cost, the annual oper-
           ating cost, and the digestate feedstock rate were initially generated using the Minitab
           17.1.0 to reduce computational time and the associated unit digestate processing costs
           calculated and analyzed.


           10.4   Results and discussions

           The results of the experimental biocrude yields from the HTL of high moisture
           digestate are presented in Table 10.4. Table 10.4 shows that poor values of the yields
           of biocrude ranging from 3.7 to 6.8wt% were obtained in the experiments. These poor
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