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The Maritime Sector and Its Problematic Decarbonization: A Systematic Review of the Contribution of Alternative Fuels

Santos, Vinicius Andrade dos,Silva, Patrícia Pereira da,Serrano, Luís Manuel Ventura

Abstract

This Research was funded by the Science and Technology Foundation (FCT), Ministry of Science and Higher Education (MCTES), European Social Fund (FSE), and Europe Union (EU), under the grant number PD/BD/142848/2018.

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Ci a ion: dos San os, V.A.; Pe ei a da Sil a, P.; Se ano, L.M.V. The Ma i ime Sec o and I s P oblema ic Deca boniza ion: A Sys ema ic Re iew o he Con ibu ion o Al e na i e Fuels. Ene gies 2022,15, 3571. h ps://doi.o g/10.3390/ en15103571 Academic Edi o s: Eugenio Meloni, Albe o-Jesus Pe ea-Mo eno, José Ca los Magalhães Pi es, Ju i Beliko , I a Ridjan Sko , Gio gio Vila di and An onio Zuo o Recei ed: 4 Ap il 2022 Accep ed: 5 May 2022 Published: 13 May 2022 Publishe ’s No e: MDPI s ays neu al wi h ega d o ju isdic ional claims in published maps and ins i u ional a il- ia ions. Copy igh : © 2022 by he au ho s. Licensee MDPI, Basel, Swi ze land. This a icle is an open access a icle dis ibu ed unde he e ms and condi ions o he C ea i e Commons A ibu ion (CC BY) license (h ps:// c ea i ecommons.o g/licenses/by/ 4.0/). ene gies Re iew The Ma i ime Sec o and I s P oblema ic Deca boniza ion: A Sys ema ic Re iew o he Con ibu ion o Al e na i e Fuels Vinicius And ade dos San os 1,2 , Pa ícia Pe ei a da Sil a 1,3,4,5,* and Luís Manuel Ven u a Se ano 6,7,* 1 MIT-Po ugal P og amme, Ene gy o Sus ainabili y Ini ia i e (EFS), Depa men o Mechanical Enginee ing, Uni e si y o Coimb a, 3030-194 Coimb a, Po ugal; [email p o ec ed] 2Chemical P ocess Enginee ing and Fo es P oduc s Resea ch Cen e (CIEPQPF), Chemical Enginee ing Depa men , Uni e si y o Coimb a, 3030-790 Coimb a, Po ugal 3Cen e o Business and Economic Resea ch (CeBER), Uni e si y o Coimb a, A Dias da Sil a, 165, 3004-512 Coimb a, Po ugal 4Facul y o Economics, Uni e si y o Coimb a, A Dias da Sil a, 165, 3004-512 Coimb a, Po ugal 5The Ins i u e o Sys ems Enginee ing and Compu e s a Coimb a INESC, Uni e si y o Coimb a, Pólo II, 3030-290 Coimb a, Po ugal 6School o Technology and Managemen , Poly echnic o Lei ia, 2411-901 Lei ia, Po ugal 7Associa ion o De elopmen o Indus ial Ae odynamics (ADAI), Uni e si y o Coimb a, 3030-788 Coimb a, Po ugal *Co espondence: [email p o ec ed] (P.P.d.S.); [email p o ec ed] (L.M.V.S.) Abs ac : The p esen s udy seeks o selec he mos impo an a icles and e iews om he Web o Science da abase ha app oached al e na i e uels owa ds he deca boniza ion o he ma i ime sec o . Th ough a sys ema ic e iew me hodology, a combina ion o keywo ds and manual e ining ound a con ibu ion o 103 wo ks wo ldwide, he Eu opean con inen accoun ing o 57% o all publica ions. Twen y- wo ypes o uels we e ci ed by he au ho s, lique ied na u al gas (LNG), hyd ogen, and biodiesel con ibu ing o 49% o he men ions. G eenhouse gases, sul u oxide, ni ogen oxide, and pa icula e ma e educ ions a e some o he main ad an ages o cleane sou ces i used by he essels. Ne e heless, he e is a lack o p ac ical esea ch on new s anda ds, engine pe o mance, cos , and egula ions om he academy o di ec mo e s akeholde s owa ds low ca bon in ensi y in he shipping sec o . Keywo ds: low ca bon uels; g eenhouse gases; ma i ime anspo a ion; sys ema ic e iew 1. In oduc ion In pas cen u ies he ma i ime sec o has p o ed o be he mos impo an means o anspo o wo ld goods, anspo ing mo e han 1 billion ons o p oduc s by sea wo ldwide, g owing a an a e age a e o 3% pe yea since 1970 [ 1 ]. Al hough sea anspo a ion is he bes indica o o he wo ld economic g ow h, he side e ec has been he impac ega ding he complexi y o deca boniza ion measu es. Nowadays, ma i ime ossil uel consump ion accoun s o a ound 2.2 million ba els o oil equi alen (MBOE), which ep esen s almos 1000 million ons o equi alen ca bon dioxide (M CO 2 eq), e lec ing 3% o global emissions [ 2 ]. Mo eo e , he so-called bunke uel has a e y low quali y, impac ing high emissions o sul u oxide (SOx), ni ogen oxide (NOx), and pa icula e ma e (PM) [3,4]. The Sul u Emission Con ol A eas (SECA) en e ed in o o ce in 2015 o educe he sul u con en om 4.5% o 0.1% in he Bal ic Sea and Ame ican coas and 0.5% elsewhe e in 2020. The NOx emission educ ion egula ions ha e also been in place since 2016 [5]. The demand o low emissions o such compounds igge ed a end owa d cleane uels, as well as he conce ns o e he g eenhouse gases (GHG) emission educ ions, which ha e d awn he a en ion o go e nmen s wo ldwide. Ene gies 2022,15, 3571. h ps://doi.o g/10.3390/en15103571 h ps://www.mdpi.com/jou nal/ene gies Ene gies 2022,15, 3571 2 o 30 Since 2011, he In e na ional Ma i ime O ganiza ion (IMO) has implemen ed a eg- ula o y measu e o ene gy e iciency equi emen s o all ships globally o educe gas emissions om he shipping sec o , h ough p og ams such as he Ene gy E iciency Design Index S anda ds (EEDI) and he Ship Ene gy E iciency Managemen Plan (SEEMP) [ 6 – 9 ]. Howe e , se e al measu es a e s ill needed o achie e he a ge o 50% lowe emissions by 2050 [9]. The In e na ional Ene gy Agency scena io p oposed a numbe o ac i i ies ha mus en e in o o ce immedia ely o mee he expec ed a ge s, which includes he use o al e na i e uels. The e a e cu en ly se e al s udies and esea ch connec ing he ma i ime sec o o low emissions. Ne e heless, only LNG has been widely discussed while o he al e na i es a e ha dly men ioned. The e o e, he sys ema ic e iew eme ges as an impo an me hodology o quan i y he numbe o esea ch, egions, and au ho s ha a e add essing low ca bon op ions o he ma i ime sec o . The sys ema ic e iew me hodology is equen ly used in clinical esea ch and social sciences. Howe e , i has been cons an ly used in o he esea ch ields as well [ 10 – 12 ]. We looked up se e al pape s and e iews in he Web o Science (WoS) da abase wi h speci ic selec ed keywo ds ela ed o low ca bon uels in he ma i ime sec o o unde s and he p oposed esea ch ques ions (RQ) in s a is ical e ms: Wha is he numbe o al e na i e low ca bon uel publica ions? (RQ1); Wha a e he la ges coun y con ibu o s? (RQ2) Who ha e been he mos impo an au ho s? (RQ3); Which jou nal has con ibu ed he mos in numbe o publica ions? (RQ4); and Wha ha e been he mos ci ed al e na i e uels (RQ5). This s udy assesses he main publica ions (a icles and e iews) in he cu en ly a ailable li e a u e on he Web o Science (WoS) da abase o iden i y he mos ele an cleane al e na i e uels as deca boniza ion sou ces in he ma i ime sec o , highligh ing hei ad an ages and disad an ages as well as iden i ying he gaps o o e come in u u e esea ch. Mo eo e , we will make a desc ip i e s a is ical analysis o he selec ed pape o iden i y he mos in luen ial and p oduc i e au ho s, egions, and jou nals ha ha e con ibu ed highly o his ho opic o e ime. The a icle is a anged as ollows. Sec ion 2 p esen s he gene al e iew o essel ypes, cu en uel g ades used, and he emissions conce ns o IMO. Sec ion 3se s ou he me hodology o pe o m he e iew, delinea ing he keywo ds and e ining p ocedu e. Sec ion 4p esen s he analysis execu ed, highligh ing he p oduc ion o e ime, main jou nals, egions, coun ies’ collabo a ions, mos ci ed al e na i e uels as low ca bon op ions, and he ba ie s o be o e come. Sec ion 5p esen s he conclusions, discussion, and sugges ions o he u u e. 2. Gene al Re iew o Vessel Types and Cu en Fuels 2.1. Ca go Ship Classi ica ion and P opulsion Nowadays, a ound 52,000 ca go ships anspo goods ac oss he wo ld. They a e bulk ca ie s, oil anke s, and con aine ships [ 12 ]. Ma ine diesel engines a e undamen ally he same as ha o oad ehicles, ye hey a e commonly bigge and wo k wi h highe e iciency. Abou 75% o all ma ine diesel engines a e ou -s oke; no wi hs anding, 75% o he in oduced powe is deli e ed by wo-s oke engines [ 13 , 14 ]. All o hese ships ep esen 500 GW o engine capaci y [ 12 ], mo e han all ins alled enewable (428 GW) and ossil (365 GW) powe in Eu ope [ 15 ]. In o de o comp ehend he dimension o he shipping sec o which has an exclusi e demand o ossil uels, Figu e 1compa es he di e en sou ces o he Eu opean elec ici y capaci y ( enewable and non enewable) e sus he wo ld ma i ime engine capaci y. Ene gies 2022,15, 3571 3 o 30 Ene gies2022,15,xFORPEERREVIEW3o 31    Figu e1.Wo ldma i imeenginepowe compa ed oEu opeanins alledpowe (The igu ewas cons uc edbasedonda acap u ed omBalcombee .al(2019)[12]andS a is a(2020)[15]. The ea eessen ially h eeca ego ieso ma ineengines:slowspeed,mediumspeed, andhigh‐speed,no mallyclassi iedinkno s(15–25kno s)[12,16].Theca ego ychoice dependson hesize,enginespeed,andpu pose.Mode a espeedengines egula ly unc ionunde 350 e olu ionspe minu e( pm)andha eexcep ionallylow uel u iliza ion.As a assizeisconce ned,slow‐speedenginesa e hela ges engineson he plane  ha usehea y ueloil(HFO) o igni ion[13,17]. 2.2.Ma ineBunke Classi ica ion Ma ine uelcanbeclassi iedasdis illa e,in e media e,and esidual(Table1).The dis illa eclassesa enamedma inegasoil(MGO)o ma inedis illa eoil(MDO)which ha edi e en g ades(DMA,DMB,DMX,DMZ).Thele e s“A”,“B”…“Z”, e e  o he pa icula p ope iesunde  hep oduc speci ica ion,ISO8217:2017[18,19]. Thein e media e ueloil(IFO)isdi idedin og ades180and380, hesenumbe s co espond o hemaximumkinema ic iscosi yo  he esidual uel,insqua emillime e s pe second(mm2/s)a 50°C[19]. Residual uels,alsocalled esidualma ine uels(RMA,RMB,RMD,RME,RMG, RMK)o hea y ueloil(HFO),inpa icula ,a eo  e ylowquali y,lowe cos ,anda e hemos used,andindi e en g ades[19].As hedis illa eclass, hele e  e e s o hei  p ope iesunde In e na ionalO ganiza ion o S anda diza ion(ISO)8217:2017[19].  0 100 200 300 400 500 600 Wo ldMa i imeEngineCapaci y Wind PV Gas Coal Nuclea Oil Hyd o Biomass O he GW Figu e 1. Wo ld ma i ime engine powe compa ed o Eu opean ins alled powe (The igu e was cons uc ed based on da a cap u ed om Balcombe e .al (2019) [12] and S a is a (2020) [15]. The e a e essen ially h ee ca ego ies o ma ine engines: slow speed, medium speed, and high-speed, no mally classi ied in kno s (15–25 kno s) [ 12 , 16 ]. The ca ego y choice depends on he size, engine speed, and pu pose. Mode a e speed engines egula ly unc ion unde 350 e olu ions pe minu e ( pm) and ha e excep ionally low uel u iliza ion. As a as size is conce ned, slow-speed engines a e he la ges engines on he plane ha use hea y uel oil (HFO) o igni ion [13,17]. 2.2. Ma ine Bunke Classi ica ion Ma ine uel can be classi ied as dis illa e, in e media e, and esidual (Table 1). The dis illa e classes a e named ma ine gas oil (MGO) o ma ine dis illa e oil (MDO) which ha e di e en g ades (DMA, DMB, DMX, DMZ). The le e s “A”, “B” . . . “Z”, e e o he pa icula p ope ies unde he p oduc speci ica ion, ISO 8217:2017 [18,19]. Table 1. Classi ica ion o ma ine uels ( he able was cons uc ed based on da a a ailable in s udies o Mohd Noo e al. (2018) [13] and Ve mie e (2021) [19]). Ma ine Fuel Fuel Type Fuel G ade Common Indus ial Name De ini ion MGO Dis illa e DMX, DMA, DMB, DMZ Gas oil o ma ine gas oil, ma ine diesel oil Iden ical o au omo i e diesel MDO I con ains a mix u e o hea y uel oil and a highe p opo ion o ma ine gas oil. IFO In e media e IFO 180, 380 In e media e uel oil such as ma ine diesel oil, a mix u e o a highe p opo ion o HFO wi h MGO. HFO Residual RMA, RMB, RMD, RME, RMG, RMK Fuel oil o esidual uel oil The lowes g ade o ma ine uel. I is a esidual oil, high- iscosi y, and equi es p ehea ing be o e use. Ene gies 2022,15, 3571 4 o 30 The in e media e uel oil (IFO) is di ided in o g ades 180 and 380, hese numbe s co espond o he maximum kinema ic iscosi y o he esidual uel, in squa e millime e s pe second (mm2/s) a 50 ◦C [19]. Residual uels, also called esidual ma ine uels (RMA, RMB, RMD, RME, RMG, RMK) o hea y uel oil (HFO), in pa icula , a e o e y low quali y, lowe cos , and a e he mos used, and in di e en g ades [ 19 ]. As he dis illa e class, he le e e e s o hei p ope ies unde In e na ional O ganiza ion o S anda diza ion (ISO) 8217:2017 [19]. 2.3. In e na ional Shipping Emissions: Cu en and Fo ecas Scena ios Mos CO 2 emissions om in e na ional shipping a e p oduced by bulk ca ie s, con- aine ships, and oil anke s (15%, 18%, and 11% o he o al shipping emissions, espec- i ely). The high emissions o hese essels a e di ec ly connec ed wi h he long jou neys o deli e ing hei ca go ac oss seas and con inen s [12,20]. The sha e o consump ion by uel ype is 72% o HFO, 26% o ma ine gas oil, and 2% o LNG [ 12 , 21 ]. The main conce n o HFO consumed by he shipping sec o is he sul u con en es ima ed a 13% o he wo ld’s sul u emissions [ 12 , 22 ]. SOx emissions con ibu e o se e al en i onmen al p oblems, such as acidi ica ion o he wa e and soil, and human heal h issues [12,23]. The new egula ions al eady in o ce imposed by Annex VI o he IMO ha e limi ed he sul u con en in Emission Con ol A eas (ECA) (0.1%) (0.1% m/m) and non-ECA a eas (0.5% m/m), eplacing he HFO wi h MGO o LNG [ 12 ]. The ECA a eas a e comp ised o he Bal ic Sea, No h Sea, Eas and Wes coas s o he Uni ed S a es, and he Ca ibbean Sea wi hin a dis ance o 200 nau ical miles [ 24 ], while non-ECA a eas ep esen he es o he wo ld. Conce ning NOx emissions, Tie I came in o o ce in 2000 wi h s anda ds anging om app oxima ely 10 o 17 g/kWh, acco ding o speed engines, Tie 2 (in 2011) os e ed 20% NOx educ ion below Tie 1, and Tie 3 s anda ds applied o he NOx Emission Con ol A ea (NECA) (The same egions o ECA a eas as sul u con ol) o engines ins alled a e 1 Janua y 201 6, wi h 80% NOx educ ion below Tie 1 [ 25 ]. Regula ion 13 o Ma pol Annex VI s ipula es ha he emission con ol o all ship engines is designed o powe s abo e 130 kilowa s (kW) [26] . Al hough egula ions ega ding SOx and NOx a e s ic e , he CO 2 emission educ ion measu es a e s ill weak and insu icien . The In e na ional Renewable Ene gy Agency (IRENA) [ 27 ] ecen ly published a epo p ojec ing he uel demand in he shipping sec o in 7.9–12.4 EJ by 2050, lis ing he mos ele an con ibu ing ac o s: global economic g ow h, economic g ow h in eme ging ma ke s, shi owa d cleane cooking uels, s ong g ow h in he pe ochemical sec o , egional ade ag eemen s, and cleane ene gy ansi ion. 2.4. Ma i ime Sec o and CO2Emissions CO 2 emissions in he ma i ime sec o a e o ecas o each alues wo- old highe han cu en le els by 2050. This scena io aised IMO conce ns o plan e ec i e measu es agains he uncon olled emissions o he sec o . The 72nd Ma ine En i onmen P o ec ion Commi ee (MEPC) esolu ion o he IMO se he goal o educing emissions by hal in he nex h ee decades [24]. The scena ios in Figu e 2p edic he GHG emissions by 2050, hose da a we e con- s uc ed by he IMO in he Thi d G eenhouse Gases S udy o IMO [ 20 ], ollowing he assump ions below: • Combina ions o he Rep esen a i e Concen a ion Pa hways (RCP) ( he RCPs (RCP2.6, RCP4.5, RCP6, and RCP8.5) a e p ojec ions adop ed by he In e go e nmen al Panel o Clima e Change (IPCC) which ep esen s he ange o adia i e o cing caused by he GHG emissions in he yea 2100 (2.6, 4.5, 6, and 8.5 W/m 2 , espec i ely) [ 20 ]), and he Sha ed Socioeconomic Pa hway (SSP) ( he SSPs a e p ojec ions un il he yea 2100 u ilized by he IPCC which o ecas s social-economic global changes and d aws he GHG emissions in i e scena ios wi h di e en clima e policies: SSP1 (sus ainabili y), Ene gies 2022,15, 3571 5 o 30 SSP2 (in e media e challenge), SSP3 ( egional i al y), SSP4 (inequali y), and SSP5 ( ossil- ueled de elopmen ) [20]) in all scena ios. • Scena ios 1–4 we e simula ed by combining he RCP and SSP wi h high pene a ion o lique ied na u al gas (LNG) and high imp o emen in ene gy e iciency (60%) o e he 2012 lee a e age by 2050. • Scena ios 5–8 we e simula ed by combining he RCP and SSP wi h high pene a ion o LNG and lowe imp o emen in ene gy e iciency (40%) o e he 2012 lee a e age by 2050. • Scena ios 9–12 we e simula ed by combining he RCP and SSP wi h low pene a ion o LNG and high imp o emen in ene gy e iciency (60%) o e he 2012 lee a e age by 2050. • Scena ios 13–16 a e he business as usual scena io (BAU) which we e simula ed by combining he RCP and SSP wi h low pene a ion o LNG and lowe imp o emen in ene gy e iciency (40%) o e he 2012 lee a e age by 2050. •The do ed line is he ambi ious a ge o 438 M CO2eq by 2050 p oposed by IMO. Ene gies2022,15,xFORPEERREVIEW5o 31   Thescena iosinFigu e2p edic  heGHGemissionsby2050, hoseda awe e cons uc edby heIMOin heThi dG eenhouseGasesS udyo IMO[20], ollowing he assump ionsbelow:  Combina ionso  heRep esen a i eConcen a ionPa hways(RCP)( heRCPs (RCP2.6,RCP4.5,RCP6,andRCP8.5)a ep ojec ionsadop edby he In e go e nmen alPanelo Clima eChange(IPCC)which ep esen s he angeo  adia i e o cingcausedby heGHGemissionsin heyea 2100(2.6,4.5,6,and8.5 W/m2, espec i ely)[20]),and heSha edSocioeconomicPa hway(SSP)( heSSPsa e p ojec ionsun il heyea 2100u ilizedby heIPCCwhich o ecas ssocial‐economic globalchangesandd aws heGHGemissionsin i escena ioswi hdi e en clima e policies:SSP1(sus ainabili y),SSP2(in e media echallenge),SSP3( egional i al y), SSP4(inequali y),andSSP5( ossil‐ ueledde elopmen )[20])inallscena ios.  Scena ios1–4we esimula edbycombining heRCPandSSPwi hhighpene a ion o lique iedna u algas(LNG)andhighimp o emen inene gye iciency(60%)o e  he2012 lee a e ageby2050.  Scena ios5–8we esimula edbycombining heRCPandSSPwi hhighpene a ion o LNGandlowe imp o emen inene gye iciency(40%)o e  he2012 lee  a e ageby2050.  Scena ios9–12we esimula edbycombining heRCPandSSPwi hlowpene a ion o LNGandhighimp o emen inene gye iciency(60%)o e  he2012 lee a e age by2050.  Scena ios13–16a e hebusinessasusualscena io(BAU)whichwe esimula edby combining heRCPandSSPwi hlowpene a iono LNGandlowe imp o emen  inene gye iciency(40%)o e  he2012 lee a e ageby2050.  Thedo edlineis heambi ious a ge o 438M CO2eqby2050p oposedbyIMO  Figu e2.GHGlong‐ e mscena io(The igu ewasadjus edonda aa ailableinThi dG eenhouse GasS udy2014)[20]. 2800 438 0 500 1000 1500 2000 2500 3000 2010 2015 2020 2025 2030 2035 2040 2045 2050 2055 Scena io1RCP8.5/SSP5 Scena io2RCP6.0/SSP1 Scena io3RCP4.5/SSP3 Scena io4RCP2.6/SSP4 Scena io5RCP8.5/SSP5 Scena io6RCP6.0/SSP1 Scena io7RCP4.5/SSP3 Scena io8RCP2.6/SSP4 Scena io9RCP8.5/SSP5 Scena io10RCP6.0/SSP1 Scena io11RCP4.5/SSP3 Scena io12RCP2.6/SSP4 Scena io(BAU)13RCP8.5/SSP5 Scena io14(BAU)RCP6.0/SSP1 Scena io15(BAU)RCP4.5/SSP3 Scena io16(BAU)RCP2.6/SSP4 IMO M CO 2 eq Figu e 2. GHG long- e m scena io (The igu e was adjus ed on da a a ailable in Thi d G eenhouse Gas S udy 2014) [20]. Recen ly he IMO assumed ha he measu es o educe emissions mus be imple- men ed as ea ly as possible o his cen u y, se ing ambi ion le els and guiding p inci- ples [24]. GHG educ ions a e s ill only based on he Ene gy E iciency Design Index (EEDI) and he Ship Ene gy E iciency Managemen Plan (SEEMP), which a e in line wi h he echnical and ope a ional ca ego ies [ 28 , 29 ]. Technical measu es ocus on design and imp o emen in ene gy e iciency, p opulsion, powe sys em, and low ca bon uels. Some ac ions can be implemen ed h ough e o i ing o exis ing ships, while o he s only in Ene gies 2022,15, 3571 6 o 30 new ships [ 28 ]. E en so, al e na i es a e equi ed and he sec o has u ned i s a en ion o al e na i e op ions. Nex , we ou line he me hods o he app oach and he mos ecen s udies ha ci e al- e na i e sou ces as one o he deca bonizing measu es o be applied in he ma i ime sec o . 3. Ma e ial and Me hods A he momen he e a e se e al s udies ega ding low ca bon al e na i e uels, ne e - heless ew o hem apply o he ma i ime sec o . To highligh impo an a icles and e iews, a sys ema ic analysis was made o he Web o Knowledge online da abase se ice by Thomson Reu e s Inc. S udies we e adap ed [ 30 ] om he simila s udy al eady a ailable in he li e a u e [ 31 ]. Based on a combina ion o wo ds o ind pape s which men ion cleane uels as an al e na i e o deca bonize he ma i ime sec o . Re ining The e ining me hod will be elabo a ed on in 3 s eps. The 1s s ep is aken in he ad anced sea ch by applying he ield ag displayed in Table 2below. Table 2. Keywo ds e ining. 1s S ep o Re ining Keywo d Resea ch TS = ( enewable ene gy o bio uels o ad anced bio uel o al e na i e uels o low ca bon uel o biome hanol o bioe hanol o biodiesel o me hyl es e o biogas o bio LNG o bio lique ied na u al gas o Hyd o ea ed Vege able oil o enewable uel o py olysis oil o Fische T opsch o hyd ogen o hyd o he mal lique ac ion o ba e ies o s a e o he a echnologies) and TS = (deca b oniza ion o low ca bon emissions o deca bonize o g eenhouse gases educ ions o GHG educ ions o g eenhouse gases emissions o GHG emissions) and TS = (Ma i i me sec o o shipping sec o o in e na ional shipping sec o o ma i ime anspo a ion o deca bonize in e na ional ma i ime o al e na i e uel o ma ine applica ions o ma ine diesel engines) TS ep esen s he opic and he bina y a iables OR, AND ela e he keywo ds wi h he in en ion o inding pape s on he Web o Science da abase. The 2nd s ep is o ela e only pape s and e iews, in he English, du ing he pe iod om Janua y 2000 o Janua y 2022. The 3 d s ep is conduc ed manually, he pape s which app oach al e na i e uels as cleane sou ces o he ma i ime deca boniza ion. 4. Resul and Discussion 4.1. Selec ed Pape s and Desc ip i e S a is ics Figu e 3displays he h ee s eps sugges ed, as well as hei esea ch c i e ia. The i s selec ed s udies eached an o e all combina ion o 328 a icles, e iews, p oceedings pape s, and book chap e s, wi h pape s and e iews accoun ing o 91% o he o al. Ne e heless, i was necessa y o ca y ou manual e ining o he deca boniza ion o he ma i ime sec o and al e na i e and low ca bon uels. A e manual e ining, he RQ1 can be answe ed, whe e 91 pape s and 12 e iews (Figu e 3) we e selec ed as a baseline o pa o he s a e o he a . The g ow h in publica ions in 2018 (Figu e 4) was e iden , om only 3 (2.91% o o al) in 2017 o 29 (28.16% o o al) in 2021. The yea s om 2020 o 2022 co espond o 65% o he pape s conce ned, d i en by he IMO’s ecen manda o y equi emen s o g eenhouse gas emissions which gained p ominence due o eal in en ions o educ ion ecen ly. Ene gies 2022,15, 3571 7 o 30 Ene gies2022,15,xFORPEERREVIEW7o 31   Ne e heless,i wasnecessa y oca you manual e ining o  hedeca boniza iono  he ma i imesec o andal e na i eandlowca bon uels. A e manual e ining, heRQ1canbeanswe ed,whe e91pape sand12 e iews (Figu e3)we eselec edasabaseline o pa o  hes a eo  hea .Theg ow hin publica ionsin2018(Figu e4)wase iden , omonly3(2.91%o  o al)in2017 o29 (28.16%o  o al)in2021.Theyea s om2020 o2022co espond o65%o  hepape s conce ned,d i enby heIMO’s ecen manda o y equi emen s o g eenhousegas emissionswhichgainedp ominencedue o ealin en ionso  educ ion ecen ly.  Figu e3.Rela eddocumen son e ineds eps.  Figu e4.Publica ionso e  heyea s. We ind heanswe  oRQ2in heselec edwo ks,whichhighligh  hehigh con ibu iono  heEu opeancoun ies(57%)(Table3),p obablyd i enby hes ic  ules inplacesince2015in heBal ic, heNo hSea,andNo hAme icancoas  ega dingSOx andNOx.Mo eo e ,Eu opehasahighene gydependence, hus he eisacommi men  o educeno only heemissionsassocia edwi h ossilsou cesusedin hema i imesec o  1s S ep‐328documen s ● Resea chc i e ia: Combina iono keywo ds Webo ScienceDa aBase ● Pe iod:Janua yo 2000 oJanua yo 2022 2ndS ep‐297documen s ● Resea chc i e ia: ● Types:A icles,Re iews ● Language:English 3 dS ep‐103documen s ● ExclusionC i e ia: ● Dono add essMa i ime T anspo a ion Deca boniza ionand al e na i e ueluse(194 pape selmina eda e  abs ac , i leandkey wo ds ead) 0.00 5.00 10.00 15.00 20.00 25.00 30.00 0 5 10 15 20 25 30 35 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Numbe o publica ions % Figu e 3. Rela ed documen s on e ined s eps. Ene gies2022,15,xFORPEERREVIEW7o 31   Ne e heless,i wasnecessa y oca you manual e ining o  hedeca boniza iono  he ma i imesec o andal e na i eandlowca bon uels. A e manual e ining, heRQ1canbeanswe ed,whe e91pape sand12 e iews (Figu e3)we eselec edasabaseline o pa o  hes a eo  hea .Theg ow hin publica ionsin2018(Figu e4)wase iden , omonly3(2.91%o  o al)in2017 o29 (28.16%o  o al)in2021.Theyea s om2020 o2022co espond o65%o  hepape s conce ned,d i enby heIMO’s ecen manda o y equi emen s o g eenhousegas emissionswhichgainedp ominencedue o ealin en ionso  educ ion ecen ly.  Figu e3.Rela eddocumen son e ineds eps.  Figu e4.Publica ionso e  heyea s. We ind heanswe  oRQ2in heselec edwo ks,whichhighligh  hehigh con ibu iono  heEu opeancoun ies(57%)(Table3),p obablyd i enby hes ic  ules inplacesince2015in heBal ic, heNo hSea,andNo hAme icancoas  ega dingSOx andNOx.Mo eo e ,Eu opehasahighene gydependence, hus he eisacommi men  o educeno only heemissionsassocia edwi h ossilsou cesusedin hema i imesec o  1s S ep‐328documen s ● Resea chc i e ia: Combina iono keywo ds Webo ScienceDa aBase ● Pe iod:Janua yo 2000 oJanua yo 2022 2ndS ep‐297documen s ● Resea chc i e ia: ● Types:A icles,Re iews ● Language:English 3 dS ep‐103documen s ● ExclusionC i e ia: ● Dono add essMa i ime T anspo a ion Deca boniza ionand al e na i e ueluse(194 pape selmina eda e  abs ac , i leandkey wo ds ead) 0.00 5.00 10.00 15.00 20.00 25.00 30.00 0 5 10 15 20 25 30 35 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 Numbe o publica ions % Figu e 4. Publica ions o e he yea s. We ind he answe o RQ2 in he selec ed wo ks, which highligh he high con ibu ion o he Eu opean coun ies (57%) (Table 3), p obably d i en by he s ic ules in place since 2015 in he Bal ic, he No h Sea, and No h Ame ican coas ega ding SOx and NOx. Mo eo e , Eu ope has a high ene gy dependence, hus he e is a commi men o educe no only he emissions associa ed wi h ossil sou ces used in he ma i ime sec o bu also o educe he dependence on ex e nal ene gy. Rega ding he anking by coun y, 41 coun ies showed con ibu ions, he i s 5 coun ies accoun ing o 49% o he o al. England and he USA accoun ed o he highes p opo ion (18%), ollowed by China and No way (14%), Ene gies 2022,15, 3571 8 o 30 Ge many and Sweden (12%), and he Ne he lands (5%). The emaining coun ies accoun ed o 4% o less. Table 3. Numbe o s udies pe coun y. Rank Coun ies % Coun ies % Posi ion Region % 1s England 9 G eece 1 1s Eu ope 57 USA 9 No he n I eland 1 2nd Asia 21 2nd China 7 Poland 1 3 d No h Ame ica 12 No way 7 Japan 1 4 h Sou h Ame ica 4 3 d Ge many 6 Aus ia 1 5 h Oceania 3 Sweden 6 Bosnia 1 6 h A ica 2 4 d Ne he lands 5 Cyp us 1 7 h Middle Eas 1 5 h Singapo e 4 Denma k 1 Spain 4 Iceland 1 B azil 4 Li huania 1 6 h Tu key 3 Mal a 1 I aly 3 Mon eneg o 1 Canada 3 Sco land 1 7 h Sou h Ko ea 2 Se bia 1 Taiwan 2 Saudi A abia 1 C oa ia 2 Uni ed A ab Emi a es 1 Finland 2 Fiji 1 I eland 2 Sou h A ica 1 Aus alia 2 Nige ia 1 8 h India 1 Egyp 1 Malaysia 1 To al 100% Conce ning au ho s (RQ3), a o al o 446 au ho s w o e 103 a icles (Appendix A). Fou pe cen o he a icles we e w i en by indi idual au ho s, while 19.42% we e w i en by wo au ho s, 16.50% by h ee au ho s, and 60.19% in ol ed a eam o ou o mo e au ho s (Table 4). Fu he mo e, Table 5shows he lis o he mos p oduc i e au ho s. Lins ad, E. and Xing, H. w o e 3 a icles each. A he same ime, he o he au ho s published ei he wo pape s o one pape each. The e o e, Bouman, EA. and Balcombe, P. ha e he mos ci ed pape s—7% and 14% espec i ely—ou o a o al o 1600 ci ed pape s. Table 4. Numbe o au ho s pe pape . Numbe o Au ho s pe Pape Numbe o Pape s % 13 1 1 12 1 1 11 1 1 10 3 3 9 1 1 8 1 1 7 9 9 6 9 9 5 11 11 4 25 24 3 17 16 2 20 19 1 4 4 To al 103 100 Ene gies 2022,15, 3571 9 o 30 Table 5. Mos p oduc i e and ci ed au ho s. Au ho s Numbe o Pape s %Times Ci ed %Ci a ions pe Pape Au ho s Numbe o Pape s %Times Ci ed %Ci a ions pe Pape Linds ad, E 3 3% 26 2% 9 Law, L 1 1% 0 0% 0 Xing, H 3 3% 37 2% 12 Liu, J 1 1% 0 0% 0 Ampah, JD 2 2% 6 0% 3 Mallouppas, G 1 1% 5 0% 5 Bach, H 2 2% 19 1% 10 Mukhe jee, A 1 1% 2 0% 2 Balcombe, P 2 2% 109 7% 55 Mwangi, JK 1 1% 29 2% 29 Ca alho, F 2 2% 1 0% 1 Nabi, MN 1 1% 8 1% 8 Gabina, G 2 2% 35 2% 18 Nai , A 1 1% 2 0% 2 Lin, CY 2 2% 39 2% 20 Nikolic, D 1 1% 2 0% 2 Mulle -Casse es, E 2 2% 5 0% 3 Nine, RD 1 1% 3 0% 3 Pe cic, M 2 2% 26 2% 13 Nuch u ee, C 1 1% 26 2% 26 Sa i, A 2 2% 1 0% 1 Ogunkunle, O 1 1% 16 1% 16 Shannina, M 2 2% 28 2% 14 O iz-Imedio, R 1 1% 3 0% 3 A ms ong, VN 1 1% 45 3% 45 Pan, HS 1 1% 32 2% 32 A ilhan, S 1 1% 22 1% 22 Peng, WH 1 1% 8 1% 8 Awoyomi, A 1 1% 4 0% 4 Pe zold, A 1 1% 53 3% 53 Ay ali, T 1 1% 0 0% 0 P ei e , A 1 1% 13 1% 13 ben B ahim 1 1% 14 1% 14 Popp, L 1 1% 0 0% 0 Bice , Y 1 1% 30 2% 30 P asad, RD 1 1% 2 0% 2 Bouman, EA 1 1% 226 14% 226 P ussi, M 1 1% 14 1% 14 Cassa , MP 1 1% 0 0% 0 Righi, M 1 1% 38 2% 38 Chen, ZS 1 1% 0 0% 0 Rizzo, AM 1 1% 0 0% 0 Chiong, MC 1 1% 1 0% 1 Rod iguez, CG 1 1% 0 0% 0 Choi, W 1 1% 16 1% 16 Schons eine , K 1 1% 10 1% 10 Ch is odoulou, A 1 1% 1 0% 1 Se a, P 1 1% 15 1% 15 Co bin, JC 1 1% 14 1% 14 Spoo -Tuomi, K 1 1% 11 1% 11 Co ez, L 1 1% 0 0% 0 S yh e, L 1 1% 68 4% 68 Cze manski, E 1 1% 4 0% 4 Taccani, R 1 1% 4 0% 4 Elka as, AG 1 1% 3 0% 3 Tan, ECD 1 1% 1 0% 1 Gallo, M 1 1% 5 0% 5 Tanze , SE 1 1% 20 1% 20 Ga cia, B 1 1% 0 0% 0 To es-Ga cia, M 1 1% 11 1% 11 Ghenai, C 1 1% 43 3% 43 T i yza, NL 1 1% 0 0% 0 Gilbe , P 1 1% 71 4% 71 T ed en, IO 1 1% 0 0% 0 Gonzalez-A ias, J 1 1% 0 0% 0 Tzanna os, E 1 1% 5 0% 5 Gysel, NR 1 1% 11 1% 11 Ushako , S 1 1% 7 0% 7 Hagos, DA 1 1% 29 2% 29 an de K o 1 1% 0 0% 0 Hansson, J 1 1% 29 2% 29 Wahl, J 1 1% 0 0% 0 Helgason, R1 1 1% 11 1% 11 Wang, H 1 1% 4 0% 4 He dzik, J 1 1% 0 0% 0 Wang, ZC 1 1% 2 0% 2 Hi da is, SE 1 1% 47 3% 47 Wineb ake, JJ 1 1% 5 0% 5 Ho a h, S 1 1% 33 2% 33 Winnes, H 1 1% 86 5% 86 Hwang, SS 1 1% 6 0% 6 Wu, P 1 1% 17 1% 17 Inal, OB 1 1% 26 2% 26 Yildi im Peksen, D 1 1% 0 0% 0 Kesieme, U 1 1% 27 2% 27 Yusu , AA 1 1% 0 0% 0 Khan, MY 1 1% 23 1% 23 Zah aee, SM 1 1% 0 0% 0 Kis ne , L 1 1% 1 0% 1 To al 103 100% 1600 100% Table 6highligh s he equency o he pape s published in he jou nals (RQ4). The Jou nal o Cleane P oduc ion,Sus ainabili y, and T anspo a ion Resea ch Pa D s and ou , wi h wen y-one pe cen o all published pape s (21%), ollowed by Ene gies and Ene gy (12%), he In e na ional Jou nal o Hyd ogen Ene gy, and Renewable & Sus ainable Ene gy Re iews (10%). The emaining jou nals published only ou pape s o less. The i s en pape s (10% o he o al) lis ed in Table 7co esponded o 768 ci a ions (48% o he o al) which is almos hal o he selec ed documen s, p obably o he eason hey a e one o he i s e e ences o al e na i e uel use as an op ion o educe GHG emissions and o he pollu an gases. The majo indings om hose s udies a e summa ized in sequence (Table 7). Ene gies 2022,15, 3571 16 o 30 Table 8. GHG emissions o di e en uels ( he able was cons uc ed based on da a a ailable in Balcombe e .al (2019) s udies [12]. Fuel Types gCO2eq/kWh LNG 580–870 Hyd ogen 113–997 Biodiesel 90–430 Me hanol 50–290 Py olysis Oil 250–340 FT-diesel 50 HVO 210–400 E hanol 140–250 SVO 290 Ad anced bio uels, such as ad anced bio-me hanol, bio-me hane, FT-diesel, and py olysis oil can impac he CO 2 eq ca bon oo p in u he (Table 8) due o he ac ha hey do no compe e wi h ood and eed p oduc ion since he eeds ock comes mainly om was e [12]. The s udies by Bouman e al. (2017) [ 28 ] p esen ed bio uels as displaying he bigges po en ial o educing GHG emissions in he ma i ime sec o . Fu he mo e, hei biodeg ad- abili y is an ad an age ega ding acciden al spills [ 12 , 68 ]. Se a and Fancello (2020) [ 69 ] ci ed he ad an ages o bio uels in connec ion wi h hei biodeg adabili y. Howe e , he au ho s highligh ed he a en ion o cons ain s on he emissions associa ed wi h di ec and indi ec land use. In s udies by Law e al. [ 70 ] he impo ance o he li e cycle assessmen (well- o-wake) o e he al e na i e uel use is men ioned. The en i e supply chain mus ensu e ha all he impac s some uels can cause and a well- o-wake ene gy assessmen o ma ine uels s ill lacking conside a ion in li e a u e be accoun ed o . F om se e al bio uel ypes and ou es, biodiesel and bio-me hanol we e ci ed as good op ions in e ms o cos s, a ailabili y, and le el o echnology. Howe e , he main p oblems conce n NOx, SOx, and PM. The au ho also concluded ha hyd ogen and ammonia a e he wo s op ions due o he o e all ene gy consumed and high cos s o p oduc ion. P ussi e al. [ 71 ] also men ioned ha ze o-emission in al e na i e uels only occu s om a ank- o-wake pe spec i e, since many emissions and impac s may occu be o e hei p oduc ion and o he GHG me hodologies mus be used (well- o- ank). The au ho also commen ed ha i al e na i e op ions do no come om a enewable basis, he ca bon oo p in can be highe han he con en ional ossil sou ces al eady used. The supply chain o al e na i e uels assessmen is a de e minan o e i y how clean some uels can be, and he ull li e cycle assessmen is he mos impo an ool ci ed by some au ho s o quan i y he many impac s caused by di e en ene gy sou ce op ions. 4.1.11. Ma i ime Bio uel Use and Ba ie s The new manda o y ules conce ning ma i ime anspo can inc ease he cos consid- e ably o he sec o by a ound USD 60 billion pe annum. The uel expendi u e ep esen s almos hal o he ope a ing cos , and i can e lec an inc ease o 10% o he equi alen o he wen y- oo uni (TEU) cos anspo ed [69,72]. Only a ew al e na i e op ions a e cu en ly a ailable and LNG appea s o be he bes ansi o y op ion. Howe e , he pa adigm is in bunke supplie s, who do no wan o make in es men s un il su icien demand is gua an eed, and he ship-owne s do no make in es men s i he e a e no e ueling poin s [ 69 , 73 ]. This obse a ion can also apply o he al e na i e uel op ions. The sea ch o new and manda o y measu es has awakened he conce ns abou he ebound e ec hey can p oduce [ 69 , 74 ]. Fo example, some s udies sugges ha , i he new ECA egula ions a e applied in he Medi e anean Sea, hey can inc ease he cos Ene gies 2022,15, 3571 17 o 30 o ma i ime anspo by abou 6.95 EUR/GJ [ 69 , 75 , 76 ] and os e a modal shi o land anspo , con ibu ing o inc easing CO2emissions [64,69]. Ano he eal p oblem is he spli o incen i es be ween shipowne s and cha e e s. The cos o in es men s in cleane al e na i es is only easible i he o me di ec ly ope a e hei ships o make be e ag eemen s wi h cha e e s, spli ing he economic ad an ages and disad an ages o g eene decisions. As ag eed be ween ship-owne s and he po ope a o s, GHG emission educ ion is subjec o h ee main kinds o isks: business, echnical, and ex e nal [ 69 , 77 ]. The i s conce ns he payback pe iod, he second is a ibu ed o he lack o eliabili y o he ules applied, and he hi d e e s o he cos o uel, policy, and egula ions. An impo an obse a ion has been made by Machado (2019) in B azil [ 78 ]. The implemen a ion o he new ules conce ning 0.5% less sul u emissions can impac he cos o he diesel used in oad anspo . Due o his ac , dis illed ma ine uel is simila o he diesel used in oad anspo a ion. The high demand can impac he lack o uel and consequen ly inc ease he p ice. I can ha e he same impac on i s -gene a ion bio uel, which is al eady being used in blends o oad anspo in many pa s o he wo ld. This conce n men ioned be o e opens up he way o ad anced bio uels and al e na i e uel explo a ion. Howe e , he low de elopmen o his sou ce makes i highly expensi e and discou ages i s use. 5. Conclusions and Sugges ions o he Fu u e The s udy selec ed high-s anda d pape s in he Web o Science da abase o iden i y he con ibu ion o academia in he li e a u e o he use o al e na i e uels in he shipping sec o as a low ca bon op ion. Se e al assessmen s was done o analyze ac o s as numbe o pape s, he mos au ho s, he main egions and how ci ed hose a icles and e iews ha e been employed o con ibu e o educe he GHG emissions in ma i ime sec o . The esea ch was impo an o unde s anding which esou ces ha e con ibu ed mos o he scena io, how hey ha e de eloped, wha is expec ed o he u u e, and why hey a e impo an . Based on keywo d combina ion, 103 a icles we e ound ha men ion bio uels o low ca bon al e na i es used in he ma i ime sec o . The LNG is undoub edly he main low ca bon al e na i e wi h many ships al eady ope a ing wi h his sou ce in he wo ld. Eigh y-eigh pe cen o he pape s e e ed o LNG as an impo an sou ce in he ma i ime sec o o GHG educ ion. Mo eo e , i can signi ican ly educe o he emissions, such as SO x , NO x , and PM. Ne e heless, he me hane slip (me hane ha escapes in o he a mosphe e) is one o he d awbacks due o i s high GHG po en ial. Bio-LNG could be a po en ial op ion, bu p oduc ion is s ill oo low o mee he high demand in he shipping sec o . Hyd ogen is one o he mos ci ed op ions (16.2%). In a ank- o-wheel assessmen , H 2 om ossil sou ces has nil GHG emissions, which can also be highly ca bon-in ensi e when analyzed om a well- o-wheel pe spec i e. Renewable hyd ogen o g een hyd ogen has been widely discussed o he medium- and long- e m, bu he cu en s age o de elopmen and use in he shipping sec o is s ill low. Biodiesel is a enewable and low ca bon sou ce, which ep esen ed 14.5% o o al men ions. This op ion, oge he wi h HVO (3.8%) and SVO (3.4%) a e sou ces ha can be blended in o he cu en ma ine engines wi hou u he modi ica ion. Ne e heless, he main eeds ock comes om ood/ eed sou ces and om de o es ed a eas, which can aise o he issues. Me hanol accoun ed o 23.8% o men ions in he assessed s udies. The la ges ba ie is i s p oduc ion, which is consolida ed only h ough ossil esou ces, and a modes numbe o essels a e al eady unning on his al e na i e uel. A new ecen esou ce widely discussed in academia is ammonia. This uel ( ossil o enewable) is capable o be employed in ICE o ull cells. The esou ce ecei ed 9.8% Ene gies 2022,15, 3571 18 o 30 o men ions in he assessed pape s. Howe e , i s ill appea s as a p omising hope o he u u e since i is s ill limi ed o he esea ch ield. The ad anced ou e o al e na i e uel p oduc ion had an exp essionless con ibu ion. Py olysis oil and Fische –T opsch diesel accoun ed o 5.1 and 4.3% o ci a ions, espec i ely, in he selec ed pape s. Al hough hey ha e an exp essi e con ibu ion o GHG emission educ ions, he d awback is he low de elopmen le el o hose echnologies, lack o s anda ds, and high cos o p oduc ion. In all cases men ioned be o e, he cleane uels a e s ill no su icien ly ep esen a i i y in he ma i ime sec o . P obably due o he lack o incen i es om he p oduc ion and consume demand. Mo eo e , he e is a lo o esis ance om he shipping indus y. The s udy concluded ha se e al ba ie s, such as low echnology de elopmen , cos and accessibili y, shipping indus y, cha e e accep ance, and lack o homogeneous egula ions o e in e na ional wa e s, hampe he de elopmen o new uel sou ces. Some al e na i es can be used as a blend in cu en uels, such as LNG, biodiesel, and me hanol. Mo eo e , lignocellulosic esidues can inc ease hei a ailabili y wi hou cons aining ood and eed p oduc ion, no he compe i ion wi h bio uels al eady used in he oad sec o [63]. In e ms o ends, Ampah e al. [ 31 ] concluded, ha LNG has been he mos in es- iga ed al e na i e sou ce, mainly d i en by he ac ha i is an abundan cleane uel; u he mo e, hei p oduc ion, anspo a ion, s o age, and inal use hold consolida ed echnologies wi h cos -compe i i eness. Howe e , he au ho also concluded ha he e is a new esea ch endency o e me hanol, ammonia, and hyd ogen. Top expe s belie e ha implemen a ion may be di icul due o he associa ed high cos . Ne e heless, high cos compa ed o wha ? I is clea ha ossil uel s ill accoun s o exp essi e subsidies in he wo ld, and he ma i ime sec o uses he cheapes uel compa ed o o he anspo modes. Consequen ly, he ques ion one mus ask is wha p ice will we pay in he u u e? This s udy has been impo an o show he lack o in-dep h s udies on cleane uel op ions in he ma i ime sec o . The p i a e sec o and go e nmen s mus s a ac ing now o s imula e esea ch and de elopmen , which, consequen ly, will soon sp ead o he shipping indus y. The s udy e iew he ein has no included p ac ical s udies on he al e na i e p oduc- ion and es s, whe e all o hem a e limi ed only in heo y. P ac ical s udies a e essen ial o gain he eliabili y and con idence o he shipping indus y. O he s udies, i.e., on he b eak-e en le el o oil p ice, could be ca ied ou o assay a which p ice le el o oil would he cleane sou ces be compa able o he cu en ossil uels. The de elopmen o he ca bon ma ke will also be an impo an measu e o s imula ing ma i ime sec o deca boniza ion. Au ho Con ibu ions: V.A.d.S.: concep ualiza ion, me hodology, in es iga ion, w i ing—o iginal d a , w i ing— e iew and edi ing; P.P.d.S.: esou ces, concep ualiza ion, alida ion, supe ision, w i ing— e iewand edi ing; L.M.V.S.: esou ces, concep ualiza ion, alida ion, supe ision, w i ing— e iew and edi ing. All au ho s ha e ead and ag eed o he published e sion o he manusc ip . Funding: This Resea ch was unded by he Science and Technology Founda ion (FCT), Minis y o Science and Highe Educa ion (MCTES), Eu opean Social Fund (FSE), and Eu ope Union (EU), unde he g an numbe PD/BD/142848/2018. Ins i u ional Re iew Boa d S a emen : No applicable. In o med Consen S a emen : No applicable. Da a A ailabili y S a emen : No applicable. Ene gies 2022,15, 3571 19 o 30 Acknowledgmen s: The au ho would like o acknowledge he inancial suppo ecei ed om he Science and Technology Founda ion (FCT), Minis y o Science and Highe Educa ion (MCTES), Eu opean Social Fund (FSE), and Eu ope Union (EU), unde he g an numbe PD/BD/142848/2018. Pa ícia P. Sil a acknowledges ha his wo k has been pa ially suppo ed by he Eu opean Regional De elopmen Fund in he amewo k o COMPETE 2020 P og amme and he FCT hough p ojec T4ENERTEC (POCI-01-0145-FEDER-029820), by he FCT unde p ojec s UID/MULTI/00308/2020 and UIDB/05037/2020 and by he Ene gy o Sus ainabili y Ini ia i e o he Uni e si y o Coimb a. Con lic s o In e es : The au ho s decla e ha hey ha e no known compe ing inancial in e es s o pe sonal ela ionships ha could ha e appea ed o in luence he wo k epo ed in his pape . Abb e ia ions €Eu os BAU Business-as-usual Bio-LNG Bio lique ied na u al gas Bio-SNG Bio syn he ic na u al gas CO2Ca bon dioxide CH4Me hane DMA Des ila e ma ine oil A DMB Des ila e ma ine oil B DMX Dis illa e ma ine oil X DMZ Dis illa e ma ine oil Z EEDI Ene gy E iciency Design Index FT-diesel Fische –T opsch diesel gCO2eq G am o equi alen ca bon dioxide GHG G eenhouse gases GHG G eenhouse gases GJ Gigajoule GW Gigawa HFO Hea y uel oil HVO Hyd o ea ed ege able oil ICE In e nal combus ion engine IEA In e na ional Ene gy Agency IFO In e media e uel oil IGC In e na ional Code o he Cons uc ion and Equipmen o Ships Ca ying Lique ied Gases in Bulk IRENA In e na ional Renewable Ene gy Agency IMF In e media e ma ine uel IMO In e na ional Ma i ime O ganiza ion ISO In e na ional O ganiza ion o S anda diza ion kWh Kilowa -hou LNG Liqui ied na u al gas Ma pol In e na ional Con en ion o he P e en ion o Pollu ion om Ships MBOE Million ba el o oil equi alen MCDA Mul i-c i e ia decision analysis MDO Ma ine dis illa e oil LNG Liqui ied na u al gas MBOE Million Ba el o Oil Equi alen MCDA mul i-c i e ia decision analysis MDO Ma ine dis illa e oil M CO2eq Million ons o equi alen ca bon dioxide N2O Ni ous oxide RMA Residue ma ine oil A RMB Residual ma ine oil B RMD Residual ma ine oil D RME Residual ma ine oil E Ene gies 2022,15, 3571 20 o 30 RMF Residue ma ine Fuel RMG Residual ma ine oil G RMK Residual ma ine oil K RPM Re olu ion pe minu e RQ Resea ch ques ion s Second SECA Sul u Emissions Con ol A ea SEEMP Ship Ene gy E iciency Managemen Plan SOx Sul u oxide SVO S aigh ege able oil SSP Sha ed socio-economic pa hway Tonne TEU Twen y equi alen uni s USA Uni ed S a es o Ame ica USD US Dolla WoS Web o Science Appendix A Table A1. Selec ed a icles. Numbe A icle Ti le Au ho s 1Re o i ing owa ds a g eene ma ine shipping u u e: Reassembling ship uels and lique ied na u al gas in No way [79] 2 S udy on cha ac e is ics o ma ine hea y uel oil and low ca bon alcohol blended uels a di e en empe a u es [80] 3Li e cycle assessmen o diesel and hyd ogen powe sys ems in ugboa s [81] 4Ca bon aba emen cos o hyd ogen-based syn he ic uels-A gene al amewo k exempla ily applied o he ma i ime sec o [82] 5Decision suppo me hods o sus ainable ship ene gy sys ems: A s a e-o - he-a e iew [83] 6Biogas upg ading o biome hane as a local sou ce o enewable ene gy o powe ligh ma ine anspo : P o i abili y analysis o he coun y o Co nwall [84] 7Blending o Hyd o he mal Lique ac ion Bioc ude wi h Residual Ma ine Fuel: An Expe imen al Assessmen [85] 8Possibili ies o Ammonia as Bo h Fuel and NOx Reduc an in Ma ine Engines: A Nume ical S udy [86] 9In luence o was e oil-biodiesel on oxic pollu an s om ma ine engine coupled wi h emission educ ion measu es a a ious loads [87] 10 Global u u es o ade impac ing he challenge o deca bonize he in e na ional shipping sec o [88] 11 P ospec s o ca bon-neu al ma i ime uel p oduc ion in B azil [89] 12 A Compa ison o Al e na i e Fuels o Shipping in Te ms o Li ecycle Ene gy and Cos [70] 13 Reduc ion o ma i ime GHG emissions and he po en ial ole o E- uels [90] 14 Pa icle-Gaseous pollu an emissions and cos o global biomass supply chain ia ma i ime anspo a ion: Full-scale syne gy model [91] 15 Re iewing wo decades o cleane al e na i e ma ine uels: Towa ds IMO’s deca boniza ion o he ma i ime anspo sec o [31] 16 Challenges and oppo uni ies o ma ine p opulsion wi h al e na i e uels [92] 17 Techno-economic and En i onmen al Compa ison o In e nal Combus ion Engines and Solid Oxide Fuel Cells o Ship Applica ions [93] Ene gies 2022,15, 3571 21 o 30 Table A1. Con . Numbe A icle Ti le Au ho s 18 A S udy in o he A ailabili y, Cos s and GHG Reduc ion in D op-In Bio uels o Shipping unde Di e en Regimes be ween 2020 and 2050 [94] 19 En i onmen al impac assessmen o hyd ogen-based auxilia y powe sys em onboa d [95] 20 Bio uels o Ma i ime T anspo a ion: A Spa ial, Techno-Economic, and Logis ic Analysis in B azil, Eu ope, Sou h A ica, and he USA [96] 21 Pe spec i e Use o Fas Py olysis Bio-Oil (FPBO) in Ma i ime T anspo : The Case o B azil [97] 22 Powe - o-Ships: Fu u e elec ici y and hyd ogen demands o shipping on he A lan ic coas o Eu ope in 2050 [98] 23 How can LNG- uelled ships mee deca bonisa ion a ge s? An en i onmen al and economic analysis [46] 24 Technical eliabili y o shipboa d echnologies o he applica ion o al e na i e uels [99] 25 Deca boniza ion o Ma ine Fuels-The Fu u e o Shipping [100] 26 Bio uel Op ions o Ma ine Applica ions: Technoeconomic and Li e-Cycle Analyses [101] 27 Al e na i e uel op ions o low ca bon ma i ime anspo a ion: Pa hways o 2050 [102] 28 The Posi ion o Ammonia in Deca bonising Ma i ime Indus y: An O e iew and Pe spec i es: Pa I Technological ad an ages and he momen um owa ds ammonia-p opelled shipping [103] 29 Blending new and old in sus ainabili y ansi ions: Technological alignmen be ween ossil uels and bio uels in No wegian coas al shipping [104] 30 Lique ied Na u al Gas as Ship Fuel: A Mal ese Regula o y Gap Analysis [105] 31 Can Ma ke -based Measu es S imula e In es men s in G een Technologies o he Aba emen o GHG Emissions om Shipping? A Re iew o P oposed Ma ke -based Measu es [106] 32 Deca boniza ion in Shipping Indus y: A Re iew o Resea ch, Technology De elopmen , and Inno a ion P oposals [107] 33 Po en ial and limi ing ac o s in he use o al e na i e uels in he Eu opean ma i ime sec o [71] 34 P oduc ion o al e na i e ma ine uels in B azil: An in eg a ed assessmen pe spec i e [43] 35 G een hyd ogen as an al e na i e uel o he shipping indus y [108] 36 Ne Ze o o he In e na ional Shipping Sec o ? An Analysis o he Implemen a ion and Regula o y Challenges o he IMO S a egy on Reduc ion o GHG Emissions [109] 37 Analysis and Modeling he Ene gy Sys em o a Chemical Tanke by LEAP [110] 38 Fuel Cell Powe Sys ems o Ma i ime Applica ions: P og ess and Pe spec i es [111] 39 Ene gy e iciency o in eg a ed elec ic p opulsion o ships—A e iew [112] 40 Li e-cycle cos assessmen o al e na i e ma ine uels o educe he ca bon oo p in in sho -sea shipping: A case s udy o C oa ia [113] 41 A comp ehensi e e iew on coun e measu es o CO2emissions om ships [114] 42 Nume ical analysis o economic and en i onmen al bene i s o ma ine uel con e sion om diesel oil o na u al gas o con aine ships [115] 43 A Pe spec i e on Bio uels Use and CCS o GHG Mi iga ion in he Ma ine Sec o [116] 44 Deca bonizing Ma i ime T anspo : The Impo ance o Engine Technology and Regula ions o LNG o Se e as a T ansi ion Fuel [117] 45 Renewable Ammonia as an Ene gy Fuel o Ocean Explo a ion and T anspo a ion [118] Ene gies 2022,15, 3571 22 o 30 Table A1. Con . Numbe A icle Ti le Au ho s 46 Exhaus emissions and engine pe o mance analysis o a ma ine diesel engine uelled wi h Pa ina i polyand a biodiesel-diesel blends [119] 47 Comp ehensi e analysis o he ai quali y impac s o swi ching a ma ine essel om diesel uel o na u al gas [120] 48 Deca bonising he c i ical sec o s o a ia ion, shipping, oad eigh and indus y o limi wa ming o 1.5–2 ◦C[121] 49 Implemen ing ma i ime ba e y-elec ic and hyd ogen solu ions: A echnological inno a ion sys ems analysis [122] 50 Li e-cycle cos assessmen s o di e en powe sys em con igu a ions o educe he ca bon oo p in in he C oa ian sho -sea shipping sec o [123] 51 In es iga ion o mee China II emission legisla ion o ma ine diesel engine wi h diesel me hanol compound combus ion echnology [124] 52 Li e Cycle Assessmen o Al e na i e Ship Fuels o Coas al Fe y Ope a ing in Republic o Ko ea [125] 53 Cha ac e iza ion o Biome hanol-Biodiesel-Diesel Blends as Al e na i e Fuel o Ma ine Applica ions [126] 54 Assessmen o uel cell ypes o ships: Based on mul i-c i e ia decision analysis [127] 55 An e alua ion o he cos -compe i i eness o ma i ime uels—a compa ison o hea y uel oil and me hanol ( enewable and na u al gas) in Iceland [128] 56 Vege able oils as enewable uels o powe plan s based on low and medium speed diesel engines [129] 57 P ocess and Economic E alua ion o an Onboa d Cap u e Sys em o LNG-Fueled CO2Ca ie s [130] 58 Sus ainabili y in Ma i ime Sec o : Was e Managemen Al e na i es E alua ed in a Ci cula Ca bon Economy Pe spec i e [131] 59 The Po en ial Role o Ammonia as Ma ine Fuel-Based on Ene gy Sys ems Modeling and Mul i-C i e ia Decision Analysis [66] 60 Towa ds he IMO’s GHG Goals: A C i ical O e iew o he Pe spec i es and Challenges o he Main Op ions o Deca bonizing In e na ional Shipping [69] 61 LNG and C uise Ships, an Easy Way o Ful il Regula ions-Ve sus he Need o Reducing GHG Emissions [132] 62 En i onmen al and Economic E alua ion o Fuel Choices o Sho Sea Shipping [133] 63 Deca boniza ion o Ma i ime T anspo : Analysis o Ex e nal Cos s [56] 64 Challenges and oppo uni ies o ze o emission shipping in sma islands: A s udy o ze o emission e y lines [134] 65 Hyb id uel cell and ba e y p opulsion sys em modelling and mul i-objec i e op imisa ion o a coas al e y [135] 66 Cha ac e iza ion o pa icula e ma e emi ed by a ma ine engine ope a ed wi h lique ied na u al gas and diesel uels [136] 67 High ene gy densi y s o age o gaseous ma ine uels: An inno a i e concep and i s applica ion o a hyd ogen powe ed e y [137] 68 Pa hways o clima e-neu al shipping: A Danish case s udy [65] 69 Lignocellulosic ma ine bio uel: Technoeconomic and en i onmen al assessmen o p oduc ion in B azil and Sweden [53] 70 Hyb id sola PV/PEM uel Cell/Diesel Gene a o powe sys em o c uise ship: A case s udy in S ockholm, Sweden [36] Ene gies 2022,15, 3571 23 o 30 Table A1. Con . Numbe A icle Ti le Au ho s 71 Pollu ion T adeo s o Con en ional and Na u al Gas-Based Ma ine Fuels [138] 72 Bio uel as an al e na i e shipping uel: echnological, en i onmen al and economic assessmen [4] 73 Fuel demand and emissions o ma i ime sec o in Fiji: Cu en s a us and low-ca bon s a egies [139] 74 How o deca bonise in e na ional shipping: Op ions o uels, echnologies and policies [12] 75 Pe o mance o ma ine diesel engine in p opulsion mode wi h a was e oil-based al e na i e uel [140] 76 Well- o-wheel assessmen o na u al gas ehicles and hei uel supply in as uc u es—Pe spec i es on gas in anspo in Denma k [141] 77 Well- o-wheel g eenhouse gas emissions o ba e y elec ic ehicles in coun ies dependen on he impo o uels h ough ma i ime anspo a ion: A Sou h Ko ean case s udy [142] 78 Al e na i e uels o shipping : Op imising lee composi ion unde en i onmen al and economic cons ain s [143] 79 Techno-economic analysis o a deca bonized shipping sec o : Technology sugges ions o a lee in 2030 and 2040 [52] 80 En i onmen al impac ca ego ies o hyd ogen and ammonia d i en ansoceanic ma i ime ehicles: A compa a i e e alua ion [42] 81 Assessmen o ull li e-cycle ai emissions o al e na i e shipping uels [33] 82 Applica ion o Al e na i e Ma i ime Powe (AMP) Supply o C uise Po [144] 83 Global ene gy scena ios and hei implica ions o u u e shipped ade [145] 84 G eenhouse gas emissions om ships in po s—Case s udies in ou con inen s [34] 85 S a e-o - he-a echnologies, measu es, and po en ial o educing GHG emissions om shipping—A e iew [28] 86 Was e oil-based al e na i e uels o ma ine diesel engines [146] 87 E alua ion o pollu an emissions om wo-s oke ma ine diesel engine ueled wi h biodiesel p oduced om a ious was e oils and diesel blends [147] 88 Sus ainable anspo by use o al e na i e ma ine and a ia ion uels-A well- o- ank analysis o assess in e ac ions wi h Singapo e’s ene gy sys em [148] 89 Reducing GHG emissions om ships in po a eas [32] 90 Emission Reduc ions o Ni ogen Oxides, Pa icula e Ma e and Polycyclic A oma ic Hyd oca bons by Using Mic oalgae Biodiesel, Bu anol and Wa e in Diesel Engine [149] 91 E ec o hyd ogen addi ion on c i e ia and g eenhouse gas emissions o a ma ine diesel engine [150] 92 Impac o Suga cane Renewable Fuel on In-Use Gaseous and Pa icula e Ma e Emissions om a Ma ine Vessel [151] 93 Conside a ions on he po en ial use o Nuclea Small Modula Reac o (SMR) echnology o me chan ma ine p opulsion [37] 94 Vessel op imisa ion o low ca bon shipping [35] 95 E ec s o Biodiesel Blend on Ma ine Fuel Cha ac e is ics o Ma ine Vessels [44] 96 S a egies o p omo ing biodiesel use in ma ine essels [45] 97 Na u al gas as a uel al e na i e o sus ainable domes ic passenge shipping in G eece [152] 98 Emission cha ac e is ics o GTL uel as an al e na i e o con en ional ma ine gas oil [153] Ene gies 2022,15, 3571 24 o 30 Table A1. Con . Numbe A icle Ti le Au ho s 99 Impac o Algae Bio uel on In-Use Gaseous and Pa icula e Emissions om a Ma ine Vessel [154] 100 In es iga ion o engine pe o mance and emissions o a diesel engine wi h a blend o ma ine gas oil and syn he ic diesel uel [155] 101 Ope a ion o Ma ine Diesel Engines on Biogenic Fuels: Modi ica ion o Emissions and Resul ing Clima e E ec s [38] 102 Clima e Impac o Bio uels in Shipping: Global Model S udies o he Ae osol Indi ec E ec [39] 103 Use o soy-de i ed uel o en i onmen al impac educ ion in ma ine engine applica ions [156] Re e ences 1. Si imanne, S.N.; Ho man, J.; Juan, W.; Asa io is, R.; Assa , M.; Ayala, G.; Benama a, H.; Chan el, D.; Ho mann, J.; P em i, A. Re iew o Ma i ime T anspo 2019; UNCTAD: New Yo k, NY, USA, 2019; ISBN 978-92-112858-8. 2. IEA. Commen a y: In e na ional Ma i ime O ganiza ion Ag ees o Fi s Long-Te m Plan o Cu b Emissions. 2018. 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