Bamboo-based Solar PV Tree System under improved solar power economic conditions
Autor: | Jose Alfron Benedicto R. Batiles, Alvin B. Culaba |
---|---|
Rok vydání: | 2019 |
Předmět: |
business.industry
020209 energy Photovoltaic system ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology 021001 nanoscience & nanotechnology Solar irradiance Automotive engineering Tree (data structure) State of charge Variable renewable energy Electricity generation 0202 electrical engineering electronic engineering information engineering Environmental science ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS Solar tree 0210 nano-technology business Solar power |
Zdroj: | 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ). |
DOI: | 10.1109/hnicem48295.2019.9072870 |
Popis: | A solar PV tree system is an amalgamation of a solar tree configuration and a solar PV system, with the solar tree implemented through the power generation subsystem of the solar PV system. The combination of these two technologies can solve the intermittency issue of solar power as a variable renewable energy source and improve the solar irradiance gain of PV panels while addressing the land allocation issue of traditional PV panel configurations. Despite the improvements in the performance and design of solar power present in a solar PV tree system, there would be a considerable increase in the installation costs of such a system. An MILP model was programmed through LINGO 18.0 to determine the appropriate design of a solar PV tree system considering the data from the nonutility facility for installation. Solar irradiation data was taken from Meteonorm 7.3. to determine the optimal orientation of the PV panels. Notably, the input for the model considered a scenario where the costs and benefits surrounding solar technology were vastly improved. A global optimal solution was found with an objective value of Php 4,026,422. |
Databáze: | OpenAIRE |
Externí odkaz: |