Page 442 - Biofuels for a More Sustainable Future
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394   Index


          E                                 EU sustainable development strategy, 49
          Ecological footprint (EF), 177–178, 199,  Expected net profit, 287–294
                202–203
          Economic indicators, 103–104, 287–294  F
          Economic sustainability, 65–66    Fatty acid methyl ester (FAME), 32–33
          Electricity generation, 97–98, 97t,97f, 263,  Feedstocks, sustainable, 62–63
                264t                        Financial LCC (fLCC), 228, 233
          Elimination and Choice Expressing Reality  Fischer-Tropsch (FT) synthesis, 82, 277
                (ELECTRE), 338–339            and gasification cost
          Energy Independence and Security Act, 8,  capital cost of plants, 107–108, 109f
                33                             equipment costs, 105–106, 106t
          Energy Policy Act, 33                initial investment (capital cost), 108
          Energy sector, 115–116, 118–119, 133t  NPV, 107, 107t
          Environmental impacts                production costs, 106, 108, 109f
            assessment, 57, 59–61              product tariffs,105–106, 107t, 108, 108f
            cogeneration process, 223–224      sensitivity analysis, 108–109, 108–109f
            dominance analysis, 223           NPV, 82, 94–96, 94f,95–96t, 104–105,
            functional unit, 218, 218t, 222, 222t  105t
            total impacts, 222, 223f          syngas, 82, 94–96, 94f,95–96t
          Environmental LCC (eLCC)          Fish oil biodiesel, 242f
            carbon tax, 228–229               combinations of factor values, 240,
            electricity and wood use, 233        245–246t
            equivalent monetary matrix, 232–233  cost breakdown, 240, 241f
            price vector/market value per unit,  estimated coefficients and P-values, 242,
                230–231, 231t                    250t
            process flow diagram, 230–231, 230f  system boundary, 237, 239f
            scaled technology matrix, 232   Fleet management, 286
            technology matrix, 231t         Fuel transportation, wood pellets, 139–140,
            value added vector, 230              140t
            zero degrees of freedom, 229    Fuzzy AHP method, 319–320, 339–340
          Environmental life cycle assessment (ELCA),  Fuzzy ELECTRE, 319–320
                260–261, 264t, 266          Fuzzy mathematical programming (FMP),
          Environmental Protection Agency (EPA),  298
                33                          Fuzzy MCDM, 318–319, 338–339
          Environmental sustainability, 50  Fuzzy multiattribute decision making
            absolute sustainability, 61          (FMADM) approaches, 318–319
            circular bioeconomy, 62–63      Fuzzy multiobjective decision making
            economic, social, and economic       (DMODM) accesses, 318–319
                pillars, 56                 Fuzzy multiple criteria decision making
            environmental impacts, 59–61         (FMCDM) method
            LCA, 56–59, 58f                   application fields, 318–319
            nexus approach and assessment, 61–62  biofuel production pathway, sustainability
          Ethanol, 1, 3–5, 4f. See also Biofuels  ranking of, 326–330, 326–329t,
          Europe biofuels framework              330–331f
            law and motivation, source of, 29–30  classification, 318–319
            standards, 31–33                  framework of, 319–320, 321f
            support schemes, 30–31            linguistic assessment, 324, 324t
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