Deep-sea polymetallic nodule mining: A review of cost reduction and efficiency technologies

Lixin Xu , Xiu Li , Yajiao Liu , Zhichao Hong

Int J Min Sci Technol ›› 2026, Vol. 36 ›› Issue (6) : 1121 -1147.

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Int J Min Sci Technol ›› 2026, Vol. 36 ›› Issue (6) :1121 -1147. DOI: 10.1016/j.ijmst.2026.04.007
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Deep-sea polymetallic nodule mining: A review of cost reduction and efficiency technologies
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Abstract

Existing reviews on deep-sea polymetallic nodule mining focus only on structural optimization of individual equipment, lacking a systematic analysis of full-chain key technologies oriented to the core dual goals of ‘‘cost reduction and efficiency enhancement”, which cannot support the commercialization process. To fill this gap, this paper systematically sorts out the technological progress and bottlenecks in three core stages (seabed mining vehicle mobility, mineral collection, and ore lifting) based on the full-chain technical framework of ‘‘precise seabed nodule collection – long-distance stable transport”, and explores feasible cost-saving and efficiency-enhancing solutions. The results show that the unique soft sediment properties in nodule-rich areas (water content 312%–577%, internal friction angle < 8°, undrained shear strength 4.0–15.5 kPa) are the primary factors limiting equipment stability. Optimized sharp triangular track shoes increase maximum traction by 120% under typical working conditions (15% slip ratio, 0.6 m/s travel speed), while thick triangular ones achieve 70.4% higher traction with 18% weight reduction. Hydraulic collection dominates current technologies, with the Coandă effect scheme reaching 87% maximum efficiency, and multi-stage centrifugal hydraulic lifting is the engineering focus. Innovatively, the synergy of mining and carbon sequestration increases unit revenue by 606.3% and reduces CO2 sequestration cost by 62.8%, while the ORC system for wastewater energy recovery covers 15%–20% of total mining electricity demand. Core commercialization obstacles include uncoordinated mobility-collection systems, unstable pipeline transport, poor material adaptability to extreme conditions, and high costs. This paper clarifies key breakthrough directions for full-chain optimization, providing a systematic framework and technical reference for the industrialization of deep-sea polymetallic nodule mining technologies.

Keywords

Deep-sea polymetallic nodule mining / Mobility of deep-sea mining vehicles / Hydraulic collection of polymetallic nodules / Ore lifting systems / Cost reduction and efficiency enhancement technologies

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Lixin Xu, Xiu Li, Yajiao Liu, Zhichao Hong. Deep-sea polymetallic nodule mining: A review of cost reduction and efficiency technologies. Int J Min Sci Technol, 2026, 36 (6) : 1121-1147 DOI:10.1016/j.ijmst.2026.04.007

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References

[1]

Xue YW, Zhu CQ, Lu YC. Research on the influence mechanism of new energy vehicle promotion policy. Sustainability 2025; 17(8):3699.

[2]

The role of critical minerals in clean energy transitions — analysis. IEA 2021.

[3]

Cai HH, Khan NU, Tang S, Siddiqui M, Xia MY, Qu HY. Developing environmental sustainability policy—How financing and subsidies are influencing green innovation in mineral extraction industries in China. J Environ Manag 2024; 368:122218.

[4]

Song M, Liu BS, Zhang JY, Li KQ. Mineral economic regionalization in the context of resource crisis and sustained economic growth. IOP Conf Ser Earth Environ Sci 2021; 781(3):032061.

[5]

Xu LX, Li X, Liu YJ, Dou PL, Hong ZC, Han CS. A review of plume research in the collection process of deep—sea polymetallic nodules. Water 2024; 16(23):3379.

[6]

Wang C, Shu XJ, Zhou SY, Song HL, He Q. Embracing a new era of deep—sea mining: research progress and prospects. Mar Policy 2025; 180:106778.

[7]

Zhang Q, Chen XG, Luan LB, Sha F, Liu XL. Technology and equipment of deep—sea mining: state of the art and perspectives. Earth Energy Sci 2025;1(1):65-84.

[8]

Hein JR, Koschinsky A, Kuhn T. Deep—ocean polymetallic nodules as a resource for critical materials. Nat Rev Earth Environ 2020; 1(3):158-69.

[9]

Wu J, Chen J, Tan X, Wang K, Zhou J, Jin Z, et al. A sediment sampling system for monitoring plume redeposition from deep—sea polymetallic nodule mining. Int J Min Sci Technol 2025; 35:1975-87.

[10]

Zhu B, Xiu X, Lai Y, Chen Y, Kamchoom V, Gunawan A, et al. Multiscale track—seabed dynamic interaction during deep—sea seabed mining across operational modes. Int J Min Sci Technol 2025; 35:2055-71.

[11]

Sharma R. Deep—sea mining and the water column: An introduction. deep—sea mining and the water column. Cham: Springer Nature Switzerland, 2024. p. 3-40.

[12]

Liu Y, Ren XW, Yan SJ, Shi XF, Yan MM. Prediction on the distribution of polymetallic nodules in the deep oceans. Acta Oceanol Sin 2025; 44(7):66-75.

[13]

Hein JR, Mizell K, Koschinsky A, Conrad TA. Deep—ocean mineral deposits as a source of critical metals for high— and green—technology applications: comparison with land—based resources. Ore Geol Rev 2013; 51:1-14.

[14]

Boschen RE, Rowden AA, Clark MR, Gardner JPA. Mining of deep—sea seafloor massive sulfides: A review of the deposits, their benthic communities, impacts from mining, regulatory frameworks and management strategies. Ocean Coast Manag 2013; 84:54-67.

[15]

Hannington M, Jamieson J, Monecke T, Petersen S, Beaulieu S. The abundance of seafloor massive sulfide deposits. Geology 2011; 39(12):1155—8.

[16]

He GW, Ma WL, Song CB, Yang SX, Zhu BD, Yao HQ, et al. Distribution characteristics of seamount cobalt—rich ferromanganese crusts and the determination of the size of areas for exploration and exploitation. Acta Oceanol Sin 2011; 30(3):63-75.

[17]

Jia H, Wang YP, Yang J. Numerical investigation of coarse granular flow of the Coandă effect—based collector over logarithmic spiral surface for deepsea mining. Appl Ocean Res 2025; 158:104540.

[18]

Su XH, Ren YW, Zhu ZC, Yang H, Jia H. Comparative study on collection performance of two back—end methods of double—row hydraulic sluicing structure in deep—sea mining. Adv Powder Technol 2023; 34(12):104268.

[19]

Wang L, Wei JK, Li ZG, Liu JC, Liu ZL, Li L, et al. Study on the driving performance of tracked mining vehicles under complex deep—sea road conditions. Mar Georesour Geotechnol 2025; 43(11):2287-300.

[20]

Wu S, Cui C. A coverage path planning method for deep—sea mining based on dynamic analysis, Seoul, Korea. OnePetro 2025. p. ISOPE—I—25—026.

[21]

Dai Y, Li XY, Yin WW, Huang ZH, Xie Y. Dynamics analysis of deep—sea mining pipeline system considering both internal and external flow. Mar Georesour Geotechnol 2021; 39(4):408—18.

[22]

Gilbert N. Major ocean database that will guide deep—sea mining has flaws, scientists warn. Nature 2023.

[23]

Spearman J, Taylor J, Crossouard N, Cooper A, Turnbull M, Manning A, et al. Measurement and modelling of deep sea sediment plumes and implications for deep sea mining. Sci Rep 2020; 10:5075.

[24]

Banton T. International seabed authority holds a landmark 30th session: The assembly adopts historic decisions as negotiations on the mining code progress — international seabed authority 2025.

[25]

Summary report 7—25 July 2025. IISD Earth Negotiations Bulletin n.d.

[26]

Peacock T, Ouillon R. The fluid mechanics of deep—sea mining. Annu Rev Fluid Mech 2023; 55:403—30.

[27]

Cho SG, Park S, Oh J, Min C, Kim H, Hong S, et al. Design optimization of deep—seabed pilot miner system with coupled relations between constraints. J Terramech 2019; 83:25-34.

[28]

Rao Q—H, Liu Z—L, Xu F, Huang W, Ma W—B. Research progress on characteristics of deep—sea soft sediment and walking performance of mining vehicle. Zhongguo Youse Jinshu Xuebao 2021; 31:2795-816.

[29]

Khadge NH. Geotechnical properties of surface sediments in the INDEX area. Mar Georesour Geotechnol 2000; 18(3):251—8.

[30]

Keller GH. Organic matter and the geotechnical properties of submarine sediments. Geo Mar Lett 1982; 2(3):191—8.

[31]

Herzog K, Schulte E, Atmanand MA, Schwarz W. Slip control system for a deep—sea mining machine. IEEE Trans Autom Sci Eng 2007; 4(2):282-6.

[32]

Bekker MG. Introduction to terrain—vehicle systems. Part I: the terrain. part II: the vehicle. J Terramechanics 1969.

[33]

Schulte E, Schwarz W. Simulation of tracked vehicle performance on deep sea soil based on soil mechanical laboratory measurements in bentonite soil. Proc ISOPE Ocean Min Symp 2009:276-84.

[34]

Wang M, Wu C, Ge T, Gu ZM, Sun YH. Modeling, calibration and validation of tractive performance for seafloor tracked trencher. J Terramech 2016; 66:13-25.

[35]

Qi CL, Rao QH, Liu Q, Ma WB. Traction rheological properties of simulative soil for deep—sea sediment. J Oceanol Limnol 2019; 37(1):62-71.

[36]

Xu F, Rao QH, Zhang J, Ma WB. Compression—shear coupling rheological constitutive model of the deep—sea sediment. Mar Georesour Geotechnol 2018; 36(3):288-96.

[37]

Xu F, Rao QH, Ma WB. Predicting the sinkage of a moving tracked mining vehicle using a new rheological formulation for soft deep—sea sediment. J Oceanol Limnol 2018; 36(2):230-7.

[38]

Xu F, Rao QH, Ma WB. Track shoe structure optimization of deep—sea mining vehicle based on new rheological calculation formulae of sediment. Mech Based Des Struct Mach 2019; 47(4):479-96.

[39]

Xu F, Rao QH, Liu ZL, Ma WB. Traction force calculation method for mining vehicle based on rheological performance of deep—sea sediment and grounding pressure of crawler. Zhongguo Youse Jinshu Xuebao 2021; 31:2817—28. In Chinese.

[40]

Xu ZY, Lu HN, Lin ZQ, Yang JM, Sun PF, Xia MZ. Prediction of deep—sea mining vehicle traction performance based on a new thixotropic constitutive model for deep—sea surface clayey sediments. Phys Fluids 2025; 37(4):043108.

[41]

Guo XS, Liu XL, Zheng TY, Zhang H, Lu Y, Li TT. A mass transfer—based LES modelling methodology for analyzing the movement of submarine sediment flows with extensive shear behavior. Coast Eng 2024; 191:104531.

[42]

Guo XS, Sun JK, Liu YH, Chen XJ, Liang DF, Liu XL. Rheological characterization and modeling of ultra—high—velocity fluidized submarine landslides. Phys Fluids 2024; 36(12):121705.

[43]

Han Z, Su B, Wei WANG, Wei—dong WANG, Jian—ling HUANG, Guang—qi CHEN. Smoothed particle hydrodynamic numerical simulation of debris flow process based on Herschel—Bulkley—Papanastasiou constitutive model. Rock Soil Mech 2019; 40:477-85.

[44]

Li L, Zhong J. Research of China’s pilot—miner in the mining system of polymetallic nodule. Proc ISOPE Ocean Min Symp, Changsha, Hunan, China: 2005, p. 124-31.

[45]

Dai Y, Zhu X, Chen LS, Liu H. A new multi—body dynamic model for seafloor miner and its trafficability evaluation. Int J Simul Model 2015; 14(4):732—43.

[46]

Kim H—W, Lee C—H, Hong S, Oh J—W, Min C—H, Yeu T—K, et al. Dynamic analysis of a tracked vehicle based on a subsystem synthesis method. vol. ISOPE—M—13—055, Szczecin, Poland: OnePetro; 2013.

[47]

Dai Y, Liu SJ, Li L. Dynamic analysis of the seafloor pilot miner based on single—body vehicle model and discretized track—terrain interaction model. China Ocean Eng 2010; 24(1):145-60.

[48]

Edwin P, Shankar K, Kannan K. Soft soil track interaction modeling in single rigid body tracked vehicle models. J Terramech 2018; 77:1-14.

[49]

Baek SH, Shin GB, Chung CK. Experimental study on the soil thrust of underwater tracked vehicles moving on the clay seafloor. Appl Ocean Res 2019; 86:117—27.

[50]

Sun PF, Lu HN, Yang JM, Liu MY, Li S, Zhang B. Numerical study on shear interaction between the track plate of deep—sea mining vehicle and the seafloor sediment based on CEL method. Ocean Eng 2022; 266:112785.

[51]

Li JZ, Liu SJ, Dai Y. Effect of grouser height on tractive performance of tracked mining vehicle. J Braz Soc Mech Sci Eng 2017; 39(7):2459-66.

[52]

Park SJ, Yeu TK, Yoon SM, Hong S, Sung KY. A study of sweeping coverage path planning method for deep—sea manganese nodule mining robot. OCEANS’11 MTS/IEEE KONA. September 19—22, 2011,Waikoloa, HI. IEEE, 2011:1-5

[53]

Dai Y, Liu SJ. Theoretical design and dynamic simulation of new mining paths of tracked miner on deep seafloor. J Cent South Univ 2013; 20(4):918—23.

[54]

Shi CX, Bu YY, Li ZG. Path planning for deep sea mining robot based on ACO—PSO hybrid algorithm. 2008 International Conference on Intelligent Computation Technology and Automation (ICICTA). October 20—22, 2008, Changsha, China. IEEE, 2008:125-9

[55]

Chen YH, Wu HY, Guo X, Chen YH, Chen BZ. The global path planning of improved a* algorithm based on dynamic analysis of mining vehicle. Min Res Dev 2021; 41(2):170-7. in Chinese.

[56]

Yoon SM, Hong S, Park SJ, Choi JS, Kim HW, Yeu TK. Track velocity control of crawler type underwater mining robot through shallow—water test. J Mech Sci Technol 2012; 26(10):3291—8.

[57]

Yeu TK, Yoon SM, Hong S, Kim HW, Lee CH, Kim JH, et al. Oceans — St. John’s. September 14—19, 2014,St. John’s, NL, Canada. IEEE 2014; 2015:1-4.

[58]

Varshney N, Janarthanan C, Muthuvel P, Ramesh NR, Deepak CR, Atmanand MA, et al. Ocean electronics (SYMPOL). October 23—25, 2013, Kochi, India. IEEE 2013; 2014:202-7.

[59]

Liu Y, Guo SS. Trajectory tracking control of deep sea mining vehicle based on iterative learning algorithm. Proceedings of the 2017 International Conference Advanced Engineering and Technology Research (AETR 2017). December 29—31, 2017. Shenyang, China. Atlantis Press, 201

[60]

Deep—sea exploration (part 2) | a comprehensive overview of deep—sea mining technology systems, current gaps, and core institutions & companies n.d

[61]

Alhaddad S, Helmons R. Sediment erosion generated by a coandă—effect—based polymetallic—nodule collector. J Mar Sci Eng 2023; 11(2):349.

[62]

Masuda Y, Cruickshank MJ, Mero JL. Continuous bucket—line dredging at 12,000 feet. Offshore Technology Conference. April 18—20, 1971. Houston, Texas. OTC, 1971: OTC—1410—MS.

[63]

Welling CG. An advanced design deep sea mining system. Offshore Technology Conference. May 4—7,1981. Houston, Texas. OTC, 1981: OTC—4094—MS.

[64]

Handschuh R, Grebe H, Panthel J, Schulte E, Wenzlawski B, Schwarz W, et al. Innovative deep ocean mining concept based on flexible riser and self—propelled mining machines, Szczecin. Poland: OnePetro; 2001.

[65]

Min K—S, Shim J—Y, Hong S, Choi J—S, Amann H. Conceplual design of a hybrid pick—up device for deep ocean mining. Seoul, Korea: OnePetro; 1997.

[66]

Liu ZH, Zhao GC, Xiao LF, Yue ZY. Experimental and numerical study of a conceptual nodule pick—up device with spiral flow generator. Ocean Eng 2023; 287:115852.

[67]

Su XH, Wang HY, Chen BB, Ren YW, Zhu ZC, Zhang Y, et al. Migration characteristics of nodules at the critical position of a Coandă effect harvesting model. Ocean Eng 2024; 295:116861.

[68]

Yue ZY, Zhao GC, Xiao LF, Liu MY. Comparative study on collection performance of three nodule collection methods in seawater and sediment—seawater mixture. Appl Ocean Res 2021; 110:102606.

[69]

Yamada H, Yamazaki T. Japan’s ocean test of the nodule mining system, Montreal. Canada: OnePetro; 1998.

[70]

Jia H, Yang J, Su XH, Xia Q, Wu KX. Theoretical prediction on hydraulic lift of a coandă effect—based mining collector for manganese nodule. Energies 2022; 15(17):6345.

[71]

Jia H, Yang J, Su XH, Wang YP, Wu KX. Flow characteristics and hydraulic lift of coandă effect—based pick—up method for polymetallic nodule. Coatings 2023; 13(2):271.

[72]

Alhaddad S, Mehta D, Helmons R. Mining of deep—seabed nodules using a Coandă—effect—based collector. Results Eng 2023; 17:100852.

[73]

Hu J, Zhao G, Xiao L, Liu M. Experimental investigation on characteristics of flow field in ‘suck—up—based’ and ‘coandă—effect—based’ nodule pick—up devices. Virtual: OnePetro; 2020.

[74]

Zhao GC, Xiao LF, Peng T, Zhang MY. Experimental research on hydraulic collecting spherical particles in deep sea mining. Energies 2018; 11(8):1938.

[75]

Zhang Y, Lu XB, Zhang XH, Chen YX, Xiong H, Zhang LH. Experimental investigation of critical suction velocity of coarse solid particles in hydraulic collecting. Acta Mech Sin 2021; 37(4):613-9.

[76]

Zhao GC, Lu HN, Xiao LF, Hu JC. Shape effect of polymetallic nodules on suction forces and flow field during seabed hydraulic collection. J Offshore Mech Arct Eng 2022; 144:011204.

[77]

Cheng H, Chen YX, Xiong H. Experimental and numerical study on the efficiency of hydraulic collection utilizing two different suction inlets. IOP Conf Ser: Earth Environ Sci 2020; 446(5):052086.

[78]

Hong S, Choi J—S, Kim J—H, Yang C—K. Experimental study on hydraulic performance of hybrid pick—up device of manganese nodule collector, Goa, India: OnePetro; 1999

[79]

Zhao GC, Xiao LF, Yue ZY, Liu MY, Peng T, Zhao WJ. Performance characteristics of nodule pick—up device based on spiral flow principle for deep—sea hydraulic collection. Ocean Eng 2021; 226:108818.

[80]

Ji LL, He XR, Li W, Tian F, Shi WD, Zhou L, et al. Research progress of advanced design method, numerical simulation, and experimental technology of pumps in deep—sea resource exploitation. Water 2024; 16(13):1881.

[81]

Hu Q, Li ZF, Zhai XY, Zheng H. Development of hydraulic lifting system of deep—sea mineral resources. Minerals 2022; 12(10):1319.

[82]

Kang YJ, Liu SJ, Zou WS, Zhao H, Hu XZ. Design and analysis of an innovative deep—sea lifting motor pump. Appl Ocean Res 2019; 82:22-31.

[83]

Kuntz G. The technical advantages of submersible motor pumps in deep sea technology and the delivery of manganese nodules. Offshore Technology Conference. April 30—May 3, 1979. Houston, Texas. OTC, 1979: OTC—3367—MS.

[84]

Chung JS. An articulated pipe—miner system with thrust control for deep—ocean crust mining. Mar Georesour Geotechnol 1998; 16(4):253-71.

[85]

Chung JS, Tsurusaki K. Advance in deep—ocean mining systems research, Osaka, Japan. OnePetro; 1994.

[86]

Zou W. COMRA’s research on lifting motor pump, Lisbon, Portugal. OnePetro; 2007.

[87]

Wang RK, Guan YJ, Jin X, Tang ZJ, Zhu ZC, Su XH. Impact of particle sizes on flow characteristics of slurry pump for deep—sea mining. Shock Vib 2021; 2021(1):6684944.

[88]

Deng LW, Hu Q, Chen J, Kang YJ, Liu SJ. Particle distribution and motion in six—stage centrifugal pump by means of slurry experiment and CFD—DEM simulation. J Mar Sci Eng 2021; 9(7):716.

[89]

Tarodiya R, Gandhi BK. Numerical investigation of erosive wear of a centrifugal slurry pump due to solid—liquid flow. J Tribol 2021; 143(10):101702.

[90]

Hong SJ, Hu XZ. Optimization of impeller of deep—sea mining pump for erosive wear reduction based on response surface methodology. Mar Georesour Geotechnol 2023; 41(3):295-311.

[91]

Wen H, Liu SJ, Zou WS, Hu XZ, Dong Z. Effects of particle diameter on erosion wear characteristic of deep—sea mining pump. 2019 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS). January 12—13, 2019. Changsha, China. IEEE, 2019: 507-512

[92]

Dai C, Guo C, Ge ZP, Liu HL, Dong L. Study on drag and noise reduction of bionic blade of centrifugal pump and mechanism. J Bionic Eng 2021; 18(2):428—40.

[93]

Gu Y, Liu N, Mou J, Zhou P, Qian H, Dai D. Study on solid—liquid two—phase flow characteristics of centrifugal pump impeller with non—smooth surface. Adv Mech Eng 2019; 11.

[94]

Peng GJ, Fan FY, Zhou L, Huang X, Ma JF. Optimal hydraulic design to minimize erosive wear in a centrifugal slurry pump impeller. Eng Fail Anal 2021; 120:105105.

[95]

International seabed authority. Polymetallic nodule mining technology: current trends and challenges ahead —international seabed authority; 2009.

[96]

Liu SJ, Yang N, Han QJ. Research and development of deep sea mining technology in China. 29th International Conference on Ocean, Offshore and Arctic Engineering: Volume 3. June 6—11, 2010. Shanghai, China. ASMEDC, 2010: 163-169.

[97]

Felippa CA, Chung JS. Nonlinear static analysis of deep ocean mining pipe: part I: modeling and formulation. J Energy Resour Technol 1981; 103(1):11-5.

[98]

Hong S, Kimg HW, Choi JS, Yeu TK, Park SJ, Lee CH, Yoon SM. A self—propelled deep—seabed miner and lessons from shallow water tests. 29th International conference on ocean, offshore and arctic engineering: Volume 3. June 6—11, 2010. Shanghai, China. ASMEDC, 2010: 75-86.

[99]

Engineers J of the KS of M and ER. A study on flow analysis of lifting pump and flexible hose for sea—test. J Korean Soc Miner Energy Resour Eng 2007; 44:308-13.

[100]

Chen X, Zhang X, Ma N, Liu X, Zhang F, Lyu R. Exploration of new operational models and technologies for the synergistic development of deep—sea mining and carbon sequestration. Strategic Study of CAE 2025; 27:148.

[101]

Luo JS, Xie YC, Hou MZ, Xiong Y, Wu XN, Lüddeke CT, et al. Advances in subsea carbon dioxide utilization and storage. Energy Rev 2023; 2(1):100016.

[102]

Teng YH, Zhang DX. Long—term viability of carbon sequestration in deep—sea sediments. Sci Adv 2018; 4(7). eaao6588.

[103]

Xu L, Li X, Liu Y, Hong Z, Li X. A green seabed collection system driven by offshore clean energy. 2024117482024, 2025.

[104]

Nickoloff AG, Olim ST, Eby M, Weaver AJ. An assessment of ocean thermal energy conversion resources and climate change mitigation potential. Clim Change 2025; 178(5):103.

[105]

Leng QX, Mohamat—Yusuff F, Mohamed KN, Zainordin NS, Hassan Z. Evaluation of macro and meiobenthic community structure and distribution in the hybrid ocean thermal energy conversion discharge area of Port Dickson. Sci Rep 2025; 15:25233.

[106]

Halkyard J, Sheikh R, Marinho T, Shi S, Ascari M. Current developments in the validation of numerical methods for predicting the responses of an ocean thermal energy conversion (OTEC) system cold water pipe. ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering June 8—13, 2014, San Francisco, California, USA. 2014

[107]

Xu L, Li X, Dou P, Hong Z, Liu Y, Han C, et al. A deep—sea mining energy recovery system combined with ocean thermal energy conversion. 2023115463912, 2025.

[108]

Chen RH, Deng S, Zhao L, Zhao RK, Xu WC. Energy recovery from wastewater in deep—sea mining: feasibility study on an energy supply solution with cold wastewater. Appl Energy 2022; 305:117719.

[109]

Singh TRP. A comparative economic scenario of nodule mining in Pacific and Indian Oceans, associated challenges and their prospects. Deep—Sea Mining and the Water Column. Cham: Springer Nature Switzerland, 2024:571-87.

[110]

Planet Tracke. The sky high cost of deep sea mining. London: 2023.

[111]

Vanreusel A, Hilario A, Ribeiro PA, Menot L, Arbizu PM. Threatened by mining, polymetallic nodules are required to preserve abyssal epifauna. Sci Rep 2016; 6:26808.

[112]

Hauton C, Brown A, Thatje S, Mestre NC, Bebianno MJ, Martins I, et al. Identifying toxic impacts of metals potentially released during deep—sea mining: a synthesis of the challenges to quantifying risk. Front Mar Sci 2017; 4:368.

[113]

Jones DOB, Arias MB, Van Audenhaege L, Blackbird S, Boolukos C, Bribiesca—Contreras G, et al. Long—term impact and biological recovery in a deep—sea mining track. Nature 2025; 642(8066):112-8.

[114]

Agarwala N. Using robotics to achieve ocean sustainability during the exploration phase of deep seabed mining. Mar Technol Soc J 2023; 57(1):130—50.

[115]

Mons I, Mansfeld A, Boulais O, Veedu V, Mrozewski S, Elshahawi H. Distributed real—time plume monitoring for deep sea mineral extraction. Offshore Technology Conference. May 2—5, 2022. Houston, Texas, USA. OTC, 2022: D021S019R003.

[116]

Harvey MS, Ralph GM, Polidoro BA, Maxwell SM, Carpenter KE. Identifying key biodiversity areas as marine conservation priorities in the greater Caribbean. Biodivers Conserv 2021; 30(13):4039-59.

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