Study of Solar Photovoltaic Potential and Carbon Mitigation in University Buildings


Djoko Adi Widodo, FT P Teknik Elektro (2022) Study of Solar Photovoltaic Potential and Carbon Mitigation in University Buildings. INTERNATIONAL JOURNAL of RENEWABLE ENERGY RESEARCH, 12 (4).

[thumbnail of 3. Study of Solar Photovoltaic Potential and Carbon Mitigation.pdf] PDF - Published Version
Download (706kB)
[thumbnail of 3 Turnitin Study of Solar Photovoltaic Potential and Carbon.pdf] PDF - Published Version
Download (3MB)

Abstract

Capturing solar radiation through photovoltaic deployment on the rooftop of buildings not only produces clean energy but also plays an important role in mitigating carbon dioxide emissions. Semarang State University in Indonesia expanding solar energy until 2021 has installed 260 kWp rooftop solar photovoltaic in 8 buildings. Gradually, the rooftop photovoltaic portfolio is being improved to realize the vision of the green campus. It is important to conduct a quantitative assessment of the power generation potential of rooftop photovoltaics to formulate a policy on effective electricity production integration. The objective of this study is to predict the potential for rooftop solar photovoltaic exploration and the potential for mitigating carbon dioxide emissions. The method used was the combination of a deep learning approach and aerial photography of an unmanned aerial vehicle. It was found that of the 40 tallest building units, the available roof area was approximately 26,645 m2 . The average monthly irradiation was 5.63 kWh/m2 /day. Energy potential per year: 8,671.1 GWh (m-Si); 7,234.4 GWh (p-Si); 4,427 GWh (a-Si); and 7,414.3 GWh (CdTe). Based on local emission factors, the mitigation potential per year was: 7,199,468.9 tons of CO2 (m-Si); 6,000,536.3 tons of CO2 (p-Si); 3,674,417.7 tons of CO2 (a-Si), and 6,153,902.9 tons of CO2 (CdTe). The findings of the study are dedicated to university management to design and manage roof photovoltaic systems reliably and economically.

Item Type: Article
Uncontrolled Keywords: Solar irradiation, deep learning, unmanned aerial vehicle, carbon mitigation, photovoltaic.
Subjects: T Technology > TK Electrical and Electronic Engineering
Fakultas: Fakultas Teknik > Pendidikan Teknik Elektro, S1
Depositing User: mahargjo hapsoro adi
Date Deposited: 25 May 2023 06:44
Last Modified: 25 May 2023 06:44
URI: http://lib.unnes.ac.id/id/eprint/58771

Actions (login required)

View Item View Item