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系統識別號 U0026-0506202011394700
論文名稱(中文) 增益奈米孔洞捕獲藍色能源:非對稱熱效應和酸鹼值效應
論文名稱(英文) Enhancing blue energy harvesting on nanopores: asymmetric thermal effect and pH effect
校院名稱 成功大學
系所名稱(中) 工程科學系
系所名稱(英) Department of Engineering Science
學年度 108
學期 2
出版年 109
研究生(中文) 梅文逢
研究生(英文) Van-Phung Mai
學號 P48067065
學位類別 博士
語文別 英文
論文頁數 112頁
口試委員 召集委員-苗君易
口試委員-林三益
口試委員-傅龍明
口試委員-葉禮賢
口試委員-張志彰
指導教授-楊瑞珍
中文關鍵字 藍色能源  海水鹽差能  鹽差能  能量轉換  基於鹽度的能量  離子濃差極化  孔相互作用 
英文關鍵字 Blue energy  Energy conversion  Salinity based energy  Multipore membrane  Ion Concentration Polarization  Pore pore interaction 
學科別分類
中文摘要 再生能源之日益發展有助於解決全球暖化之挑戰、能源需求之增長以及其他環境問題。在多種可再生能源中,藍色能源的補獲可藉由海水鹽差能或鹽差能(海水和淡水之間或兩種含鹽濃度不同的海水之間的化學電位差能) 在可持續能源領域中發揮重要之作用。因此,產生鹽差能之過程越來越受到關注。在通常的鹽差能能量轉換中,獲得的能量高度依賴於離子通過奈米孔洞的傳輸。為了解決奈米孔洞的缺點(離子通量低、成本高),multipore膜是促進能量轉換的一種新方法。但是,增加孔洞數會增加膜中離子濃差極化效應(Ion Concentration Polarization – ICP)以及pore-pore interaction,導致離子傳輸阻力。本研究採用數值模擬和實驗方法來分析熱效應與pH效應對於增加離子通過奈米孔洞膜傳輸的影響。其中,實驗由蝕刻奈米孔洞膜上進行; COMSOL軟體數值解Poisson-Nernst-Planck(PNP)方程式、Navier-Stokes方程式和熱方程式。
本研究的主要貢獻在於以下兩方面:
第一,本研究在低濃度儲存槽層中設置較高溫度,結果表明,不對稱熱發電比等溫發電高約60%。通過考慮奈米孔洞膜和低濃度儲液器界面中的總離子濃度,在不對稱熱條件的作用下,離子富集(一種ICP效應之現象)顯著降低。此外,隨著pore-pore距離的減小,pore-pore interaction作用顯著增加。數值模擬和實驗結果均表明,在不對稱熱的作用下,可以減少存在的pore-pore interaction作用。總的來說,這項研究促進鹽差能捕獲藍色能源的未來實際應用,並介紹一種創新的策略,可以利用廢熱或太陽能來增強基於鹽度的發電。
第二,本研究監測溫度梯度與pH值對在單個二氧化矽奈米孔洞中擴散電壓以及最大發電量的綜合影響。在進行模擬時,將奈米孔洞表面的去質子化或質子化之反應添加到奈米孔洞表面,將pH值調節在pH 5〜11的範圍內,鹽濃度梯度分別為100倍和1000倍。三種不同的熱狀態,即(1)等溫室(298 K);(2)不對稱熱(低濃度儲層、高濃度儲層的溫度分別為323K、298 K);(3)等溫高(323 K)。結果表明,所產生的功率隨pH值和溫度條件的變化而顯著變化。特別地,不對稱熱狀態降低了低濃度端附近的奈米孔洞表面的表面電荷密度,因此抑制了離子濃差極化效應(ICP),從而改善了發電性能。在9〜10pH值的範圍內(比pH7大約高100%),能源採集明顯提高。 總體而言,研究結果證實採用控制溫度和pH值來提高具有濃度梯度的奈米孔洞系統發電性能的可行性,因此,可獲得較好之捕獲能量效率。
英文摘要 Renewable energy development is one of the promising approaches to tackle the challenge of global warming, as well as fulfill the ever-increasing energy demand, and manage other environmental impacts. Among various renewable sources, energy derived from salinity gradient, known as blue energy (i.e., salt concentration difference between seawater and river water), brings an important contribution to the field of sustainable clean energy. Therefore, the processes of generating this energy are obtaining more and more attention. Throughout a typical blue energy conversion, a power generation obtained in such a way strongly depends on ion transport through nanopore. To overcome the limits of single nanopore with low ion flux and high cost, multipore membrane is an emerging approach to promote energy conversion for practical application. However, the key bottleneck for increasing the number of pores is that Ion Concentration Polarization (ICP) and pore-pore interaction are increased in the membrane, resulting in more undesirable ion-transport resistance. This study aims to explore thermal and pH effects on enhancing ion transport through nanopore membranes using both numerical simulation and experimental methods. The experiment is conducted on track-etched membranes; the COMSOL simulation bases on Poisson-Nernst-Planck (PNP) equations, Navier-Stokes equations, and heat equation.
The contributions of this study are twofold. First, an asymmetric thermal is employed in multipore membrane with a higher temperature is set in low-concentration reservoir. Results show that power generation of asymmetric thermal is higher about 60% than that of isothermal cases. By considering total ion concentration in the interface of the nanopore membrane and low-concentration reservoir, ion enrichment (a phenomenon of ICP) is significantly diminished under effect of asymmetric thermal conditions. Besides, the pore-pore interaction significantly increases as the pore-pore distance reduces. The results of both simulations and experiments reveal that the existent pore-pore interaction can be diminished under the asymmetric thermal effect. This study facilitates the future practical application of osmotic energy and introduces an innovative strategy to enhance salinity-based power generation using waste heat or solar heat source.
Second, the present study examines the combined effects of the temperature gradient and pH level on the diffusion voltage and maximum power generation in single silica nanopores with lengths of 100 nm and 500 nm, respectively. In performing the simulations, deprotonation/protonation reactions of nanopore surface are added to the nanopore surface, the pH value is adjusted in the range of pH 5 ~ 11, the salinity concentration gradient is 100-fold and 1000-fold, respectively. Three different thermal conditions are considered, namely (1) isothermal-room temperature (298 K); (2) asymmetric thermal (temperature of low-concentration reservoir and high-concentration reservoir are 323 K and 298 K, respectively); and (3) isothermal-high temperature (323 K). The results show that the generated power varies significantly with both the pH level and the temperature conditions. In particular, the asymmetric thermal condition yields an effective improvement in the power generation performance since it reduces the surface charge density on the surface of the nanopore near the low-concentration end and therefore suppresses the ion concentration polarization (ICP) effect. The improvement in the energy harvesting performance is particularly apparent at pH levels in the range of 9 ~ 10 (about 100% higher than that of pH 7). Overall, the results confirm the feasibility of using active factors to enhance the power generation performance of salinity gradient-based nanopore systems.
論文目次 CONTENTS
Acknowledgements I
Abstract II
List of Tables IX
List of Figures X
Abbreviation XVI
Nomenclature XVII
Chapter 1: Introduction of blue energy 1
1.1 Blue energy-sustainable power generation from salinity gradient 1
1.1.1 Fundamental of harvesting blue energy: Salinity mixing process 2
1.1.2 Major methods for osmotic energy conversion from salinity gradient 3
1.1.3 Formation of Electrical Double Layer and Ion transport 7
1.2 Mechanistic classification of nanopore 10
1.2.1 One-dimensional nanopore 11
1.2.2 Two-dimensional membrane 13
1.2.3 Three-dimensional membrane 14
1.3 Active and passive controls of ion transport in nanofluidic 15
1.4 Scope of the dissertation 17
Chapter 2: Fundamental theory and governing equations 19
2.1 Ion concentration Polarization 19
2.2 General equations for NRED of non-equilibrium thermodynamic system 20
2.2.1 Heat equation and chemical potential 20
2.2.2 Nernst-Planck Equation 22
2.2.3 Poisson-Boltzmann equation 24
2.2.4. Navier-Stokes equation in the nanofluidic system 26
2.3 Salinity-based power generation 28
2.3.1 Onsager reciprocal relation in electrokinetic energy conversion 28
2.3.2 Diffusion osmotic power generation calculation in simulation 30
2.3.3 Diffusion osmotic power generation calculation in experiments 31
2.4 Finite Element Method for COMSOL solving 32
2.4.1 Governing Partial Different Equation 32
2.4.2 Finite Element Method for solving PDE 33
Chapter 3: Boosting power generation from salinity gradient on multipore membrane using thermal effect 37
3.1 Literature review 38
3.2 Material and methods 41
3.2.1 Theoretical model 43
3.2.2 Experimental Setup 45
3.2.3 Numerical modeling 46
3.3 Results and discussion 49
3.4 Chapter conclusion 61
Chapter 4: Active control of salinity-based power generation in nanopore using thermal and pH effects 63
4.1 Literature review 63
4.2 Related theory and numerical modeling 66
4.2.1 Theoretical model 66
4.2.2 Numerical modeling 69
4.3 Results and discussion 71
4.3.1 Comparison of power generation performance between isothermal and asymmetric thermal cases 71
4.3.2 Effect of thermal conditions and pH level on surface charge density 76
4.3.3 Effect of thermal conditions on flow field 81
4.3.4 Effects of asymmetric thermal conditions on power generation 82
4.4 Chapter conclusion 85
Chapter 5: Summary and proposed future work 86
5.1 Overview of accomplishment 86
5.2 Proposed extensions of current work 88
Appendix 90
A.1 Maximum conversion efficiency 90
A.2 Redox voltage in experiments 90
A.3 Nanopore density on PCTE membrane 92
A.4 Mesh independence check 92
A.5 Experimental verification of simulation method 94
A.6 Verification of simulation method based on coupled PNP-NS and heat transfer equations 95
References 96
Curriculum vitae 111

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