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Adaptability-Focused Co-Design for Energy-Harvesting Systems
Adaptability-Focused Co-Design for Energy-Harvesting Systems
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202105222
- ISBN
- 9798291566312
- DDC
- 621
- 저자명
- Fine, Jacob B.
- 서명/저자
- Adaptability-Focused Co-Design for Energy-Harvesting Systems
- 발행사항
- [Sl] : University of Michigan, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 170 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-02, Section: B.
- 주기사항
- Advisor: Barton, Kira;Vermillion, Christopher.
- 학위논문주기
- Thesis (Ph.D.)--University of Michigan, 2025.
- 초록/해제
- 요약Large-scale renewable energy systems are subject to several sources of uncertainty. This uncertainty is inherent to systems that harvest stochastic environmental energy resources, and can be compounded by uncertainty within the underlying models used to predict the performance of such systems. To maximize the energetic performance of a renewable energy system in the face of uncertainty, real-time plant and controller adaptability is introduced. Real-time adaptation enables modification of aspects of a system's design (physical plant parameters through morphing or controller parameters through adaptive control) during operation to maximize the energetic performance of the system. Crucially, if the nominal design of a system will result in sub-optimal energetic performance, optimal performance can still be achieved in operation so long as the system can adapt to match the optimal design.In the first part of this dissertation, the energetic performance enhancements achievable through both plant and controller adaptation are first examined, specifically as applied to marine hydrokinetic (MHK) kites. MHK kites follow figure-eight (or elliptical) patterns perpendicular to the prevailing flow of an ocean current, extracting energy through either onboard turbines or cyclic spooling of a seabed-mounted winch. Through multiple experimental campaigns involving prototype kite systems (and subsequent dynamic simulations using experimentally refined dynamic models), the energetic performance enhancements achievable through real-time adaptation are demonstrated.After demonstrating that the inclusion of plant and controller adaptability into the design of an energy-harvesting system enabled enhanced energetic performance, it was crucial to identify the level of plant and controller adaptability that maximize economic performance when designing an energy-harvesting device using an uncertain model to harvest energy from a stochastic environmental energy resource. To this end, a co-design framework has been developed to identify the economically optimal level of plant and controller adaptability and degree of experimental model refinement to incorporate into an energy-harvesting system while considering the uncertainty associated with the operating environment and the system model itself, noting that both adaptability and experimentation come at an economic cost. This co-design framework has been applied to a case study in MHK kites, wherein the economic performance enhancements achievable through adaptability are demonstrated.
- 일반주제명
- Energy
- 일반주제명
- Sustainability
- 일반주제명
- Mechanical engineering
- 일반주제명
- Alternative energy
- 키워드
- Co-design
- 키워드
- Marine energy
- 키워드
- Adaptive control
- 기타저자
- University of Michigan Mechanical Engineering
- 기본자료저록
- Dissertations Abstracts International. 87-02B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520260202105222
■006m o d
■007cr#unu||||||||
■020 ▼a9798291566312
■035 ▼a(MiAaPQ)AAI32271821
■035 ▼a(MiAaPQ)umichrackham006331
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a621
■1001 ▼aFine, Jacob B.
■24510▼aAdaptability-Focused Co-Design for Energy-Harvesting Systems
■260 ▼a[Sl]▼bUniversity of Michigan▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a170 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-02, Section: B.
■500 ▼aAdvisor: Barton, Kira;Vermillion, Christopher.
■5021 ▼aThesis (Ph.D.)--University of Michigan, 2025.
■520 ▼aLarge-scale renewable energy systems are subject to several sources of uncertainty. This uncertainty is inherent to systems that harvest stochastic environmental energy resources, and can be compounded by uncertainty within the underlying models used to predict the performance of such systems. To maximize the energetic performance of a renewable energy system in the face of uncertainty, real-time plant and controller adaptability is introduced. Real-time adaptation enables modification of aspects of a system's design (physical plant parameters through morphing or controller parameters through adaptive control) during operation to maximize the energetic performance of the system. Crucially, if the nominal design of a system will result in sub-optimal energetic performance, optimal performance can still be achieved in operation so long as the system can adapt to match the optimal design.In the first part of this dissertation, the energetic performance enhancements achievable through both plant and controller adaptation are first examined, specifically as applied to marine hydrokinetic (MHK) kites. MHK kites follow figure-eight (or elliptical) patterns perpendicular to the prevailing flow of an ocean current, extracting energy through either onboard turbines or cyclic spooling of a seabed-mounted winch. Through multiple experimental campaigns involving prototype kite systems (and subsequent dynamic simulations using experimentally refined dynamic models), the energetic performance enhancements achievable through real-time adaptation are demonstrated.After demonstrating that the inclusion of plant and controller adaptability into the design of an energy-harvesting system enabled enhanced energetic performance, it was crucial to identify the level of plant and controller adaptability that maximize economic performance when designing an energy-harvesting device using an uncertain model to harvest energy from a stochastic environmental energy resource. To this end, a co-design framework has been developed to identify the economically optimal level of plant and controller adaptability and degree of experimental model refinement to incorporate into an energy-harvesting system while considering the uncertainty associated with the operating environment and the system model itself, noting that both adaptability and experimentation come at an economic cost. This co-design framework has been applied to a case study in MHK kites, wherein the economic performance enhancements achievable through adaptability are demonstrated.
■590 ▼aSchool code: 0127.
■650 4▼aEnergy
■650 4▼aSustainability
■650 4▼aMechanical engineering
■650 4▼aAlternative energy
■653 ▼aCo-design
■653 ▼aMarine energy
■653 ▼aAdaptive control
■653 ▼aDesign optimization
■653 ▼aEnergy-harvesting device
■690 ▼a0548
■690 ▼a0791
■690 ▼a0640
■690 ▼a0363
■71020▼aUniversity of Michigan▼bMechanical Engineering.
■7730 ▼tDissertations Abstracts International▼g87-02B.
■790 ▼a0127
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17359840▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
