Sustainable Investment Strategy: A Fuzzy Nonlinear Multi-Objective Programming for Taiwan’s Solar Photovoltaic Billboards

In Taiwan, large advertising billboards on commercial buildings consume significant energy, exacerbating environmental challenges and straining sustainability efforts. This study explores the potential of rooftop solar photovoltaic systems (SPVS) to power these billboards, offering a dual solution f...

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Vydáno v:Sustainability Ročník 17; číslo 9; s. 3763
Hlavní autor: Lin, Yu-Feng
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.05.2025
Témata:
Advertising revenue
Air conditioning
Alternative energy sources
Billboards
Buildings
Carbon
Costs
Electric rates
Electricity
Emission standards
Emissions
Energy consumption
Energy storage
Energy use
Fuzzy algorithms
Fuzzy logic
Fuzzy systems
Green roofs
Greenhouse gases
Internal rate of return
Investment policy
Multiple criteria decision making
Optimization techniques
Payback periods
Photovoltaic power generation
Renewable resources
Research methodology
Sensitivity analysis
Solar energy
Sustainable development
Technology application
Urban areas
Taiwan
ISSN:2071-1050, 2071-1050
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Abstract In Taiwan, large advertising billboards on commercial buildings consume significant energy, exacerbating environmental challenges and straining sustainability efforts. This study explores the potential of rooftop solar photovoltaic systems (SPVS) to power these billboards, offering a dual solution for energy reduction and financial viability. Using a fuzzy nonlinear multi-objective programming approach, the research demonstrates that SPVS investments become profitable by the ninth year (0.7232% return), rising to 5.4463% by the twentieth year, while a 26-day reduction in construction time cuts carbon emissions by 223.11 kg. The innovative Revenue–Time–Cost–Quality–Carbon Emissions (RTCQCE) framework balances economic gains with environmental benefits, leveraging advertising revenue to fund SPVS. This model bridges a research gap by integrating financial and ecological factors, providing a practical tool for sustainable urban development in Taiwan.
AbstractList In Taiwan, large advertising billboards on commercial buildings consume significant energy, exacerbating environmental challenges and straining sustainability efforts. This study explores the potential of rooftop solar photovoltaic systems (SPVS) to power these billboards, offering a dual solution for energy reduction and financial viability. Using a fuzzy nonlinear multi-objective programming approach, the research demonstrates that SPVS investments become profitable by the ninth year (0.7232% return), rising to 5.4463% by the twentieth year, while a 26-day reduction in construction time cuts carbon emissions by 223.11 kg. The innovative Revenue–Time–Cost–Quality–Carbon Emissions (RTCQCE) framework balances economic gains with environmental benefits, leveraging advertising revenue to fund SPVS. This model bridges a research gap by integrating financial and ecological factors, providing a practical tool for sustainable urban development in Taiwan.
Audience Academic
Author Lin, Yu-Feng
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Snippet In Taiwan, large advertising billboards on commercial buildings consume significant energy, exacerbating environmental challenges and straining sustainability...
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StartPage 3763
SubjectTerms Advertising revenue
Air conditioning
Alternative energy sources
Billboards
Buildings
Carbon
Costs
Electric rates
Electricity
Emission standards
Emissions
Energy consumption
Energy storage
Energy use
Fuzzy algorithms
Fuzzy logic
Fuzzy systems
Green roofs
Greenhouse gases
Internal rate of return
Investment policy
Multiple criteria decision making
Optimization techniques
Payback periods
Photovoltaic power generation
Renewable resources
Research methodology
Sensitivity analysis
Solar energy
Sustainable development
Technology application
Urban areas
Title Sustainable Investment Strategy: A Fuzzy Nonlinear Multi-Objective Programming for Taiwan’s Solar Photovoltaic Billboards
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