Solar energy harvesting technologies for PV self-powered applications: A comprehensive reviewShow others and affiliations
2022 (English)In: Renewable energy, ISSN 0960-1481, E-ISSN 1879-0682, Vol. 188, p. 678-697Article in journal (Refereed) Published
Abstract [en]
Many key aspects of society, such as transport, housing and health care, have been significantly improved by the advent of a range of electricity applications, and the power generation for electricity applications has been a major field of research. Photovoltaic (PV) self-powered technologies are promising technologies for addressing applications' power supply challenges and alleviating conventional electricity load and environmental pollution. This study reviews solar energy harvesting (SEH) technologies for PV self-powered applications. First, the PV power generation and scenarios of PV self-powered applications are analyzed. Second, analysis of system design for PV self-powered applications is presented. Third, key components for PV self-powered applications, including maximum power point tracking (MPPT) techniques and power management (PM) systems are discussed in detail. Furthermore, numerous PV self-powered applications and utilizations of energy harvesting are summarized. Finally, some recommendations are proposed for further research.
Place, publisher, year, edition, pages
Elsevier Ltd , 2022. Vol. 188, p. 678-697
Keywords [en]
Energy harvesting, PV Self-powered technologies, PV-Based hybrid energy systems, Self-powered applications, Solar energy, Electric power systems, Environmental technology, Maximum power point trackers, Hybrid energy system, Photovoltaic self-powered technology, Photovoltaic-based hybrid energy system, Photovoltaics, Power- generations, Self-powered, Self-powered application, Self-powered technologies, Solar energy harvesting, electricity, literature review, photovoltaic system, power generation, solar power
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-57575DOI: 10.1016/j.renene.2022.02.066ISI: 000782057100008Scopus ID: 2-s2.0-85125265226OAI: oai:DiVA.org:mdh-57575DiVA, id: diva2:1643260
2022-03-092022-03-092023-01-09Bibliographically approved