000			02392 a2200205 4500
003			OSt
005			20250910120228.0
008			250910b |||||||| |||| 00| 0 eng d
020			_a9781119571193
082			_a621.31244 _bB197p
100			_aBalfour, John R.
245			_aPhotovoltaic (PV) system delivery as reliable energy infrastructure _cJohn R. Balfour
260			_bWiley _c2024 _aHoboken
300			_axxvi, 540p
520			_aThis book applies the lessons learned from mature industries including aerospace, utilities, rail, marine, and automotive technologies, and incorporates them to the PV industry. Since 2007, PVPS based enterprises have experienced an 84% CapEx reduction in utility-scale costs, module prices decreased 93%, and efficiency increased 20% (relative). However, the investments that improved those elements have not translated into RAMS for O&M resulting in excessive costs in the out years. PAM?s is intended to improve reliability and maintainability attributes, while reducing PVPS project technical and financial risk. The PAM methodologies are applied to the various PVPS life cycle elements while addressing all stakeholders? needs. Each project phase is addressed by applying the appropriate RAMS and SMART engineering practises. The book provides examples of the impact to the primary stakeholders (Financers, Developers, EPCs, Engineers, Owners/Operators, OEMs, O&M providers, utilities, and customers) during the concept, specification, operations, maintenance and repowering phases. The chapters address how to develop RAMS specifications, data and tasks, while illustrating the inherent benefits of how these affect the cost of design and development, maintenance, spares, and systems operation. They also address when to consider repowering or plant upgrades to the system or the optimum time to consider retirement and disposal of the plant. It introduces the application of current technologies that can facilitate assessment of plant health and condition. These include improved SCADA for fault detection and isolation, and external field assessment through EM (multispectral, electro-luminescence, visual, infrared and ultraviolet) scanning of the plant using airborne and mobile sensors."-- Provided by publisher
650			_aPhotovoltaic power systems
650			_aSystems engineering
700			_aMorris, Russell W.
942			_cBK
999			_c567598 _d567598