680INDEX(Workstreams[Workstream], MATCH($A1, Workstreams[Code], 0))Food consumption [UNUSED]917INDEX(Modules[Module], MATCH($A2, Modules[Code], 0))Food consumption [UNUSED]784922Preferences.EnergyUnitsTWh1336804422007201020152020202520302035204020452050651441092320000*Unit.calorie*365.259.8484386666666678E-79.8484386666666678E-79.8484386666666678E-79.8484386666666678E-79.8484386666666678E-79.8484386666666678E-79.8484386666666678E-79.8484386666666678E-79.8484386666666678E-79.8484386666666678E-792192613368044220072010201520202025203020352040204520506515311700000000009209261336804422007201020152020202520302035204020452050651530.10.10.10.10.10.10.10.10.10.14421099181179237311929252Preferences.EnergyUnitsTWh2007201020152020202520302035204020452050919F$99.8484386666666678E-7G$99.8484386666666678E-79.8484386666666678E-79.8484386666666678E-79.8484386666666678E-79.8484386666666678E-79.8484386666666678E-79.8484386666666678E-79.8484386666666678E-79.8484386666666678E-7833814INDEX(Global.Assumptions[Population], MATCH(F$30, Global.Assumptions[Year], 0))60973000INDEX(Global.Assumptions[Population], MATCH(G$30, Global.Assumptions[Year], 0))62222403INDEX(Global.Assumptions[Population], MATCH(H$30, Global.Assumptions[Year], 0))64344156INDEX(Global.Assumptions[Population], MATCH(I$30, Global.Assumptions[Year], 0))66521962INDEX(Global.Assumptions[Population], MATCH(J$30, Global.Assumptions[Year], 0))68647528INDEX(Global.Assumptions[Population], MATCH(K$30, Global.Assumptions[Year], 0))70575666INDEX(Global.Assumptions[Population], MATCH(L$30, Global.Assumptions[Year], 0))72278230.000000015INDEX(Global.Assumptions[Population], MATCH(M$30, Global.Assumptions[Year], 0))73853253INDEX(Global.Assumptions[Population], MATCH(N$30, Global.Assumptions[Year], 0))75356458INDEX(Global.Assumptions[Population], MATCH(O$30, Global.Assumptions[Year], 0))76789483835619F31*F3260.048885082266672G31*G3261.27935196381160763.36894739244320465.51374627433307367.60709691262827969.50601179601520171.18277150902268672.73392325043160274.21434547502427475.625651357054281252F33/(1-(F$14+F$19))66.720983424740751G33/(1-(G$14+G$19))68.08816884867955870.40994154715910772.79305141592563275.11899656958696977.22890199557244379.09196834335854580.81547027825733782.46038386113808484.028501507838087924F$14*F340G$14*G34000000000925F$19*F346.6720983424740758G$19*G346.8088168848679567.04099415471591077.27930514159256347.51189965695869697.7228901995572457.90919683433585528.08154702782573338.2460383861138088.4028501507838094683729Preferences.EnergyUnitsTWh7841844269169272072172272372472572672740INDEX(Vectors[Description], MATCH([Vector], Vectors[Code], 0))Food consumption [UNUSED]F$3360.048885082266672G$3361.27935196381160763.36894739244320465.51374627433307367.60709691262827969.50601179601520171.18277150902268672.73392325043160274.21434547502427475.625651357054281752INDEX(Vectors[Description], MATCH([Vector], Vectors[Code], 0))Edible biomass-F$34-66.720983424740751-G$34-68.088168848679558-70.409941547159107-72.793051415925632-75.118996569586969-77.228901995572443-79.091968343358545-80.815470278257337-82.460383861138084-84.02850150783808754INDEX(Vectors[Description], MATCH([Vector], Vectors[Code], 0))WasteF$350G$3500000000034INDEX(Vectors[Description], MATCH([Vector], Vectors[Code], 0))Conversion lossesF$366.6720983424740758G$366.8088168848679567.04099415471591077.27930514159256347.51189965695869697.7228901995572457.90919683433585528.08154702782573338.2460383861138088.4028501507838094148SUBTOTAL(109,[2007])0SUBTOTAL(109,[2010])0SUBTOTAL(109,[2015])7.1054273576010019E-15SUBTOTAL(109,[2020])0SUBTOTAL(109,[2025])7.1054273576010019E-15SUBTOTAL(109,[2030])0SUBTOTAL(109,[2035])0SUBTOTAL(109,[2040])0SUBTOTAL(109,[2045])0SUBTOTAL(109,[2050])0261326187826144426916927207217227237247257267272615INDEX(Vectors[Description], MATCH([Vector], Vectors[Code], 0))UK Land areaINDEX(Vectors[Comment], MATCH([Information type], Vectors[Description], 0))02621INDEX(Vectors[Description], MATCH([Vector], Vectors[Code], 0))Number of units148