TY - GEN
T1 - A fuzzy quadratic programming model for the design optimization of a hybrid renewable energy-water system for tropical buildings
AU - Del Rosario, Aaron Jules R.
AU - Ubando, Aristotle T.
AU - Culaba, Alvin B.
N1 - Funding Information:
ACKNOWLEDGMENT The first author expresses his gratitude to the Engineering Research and Development for Technology (ERDT) Consortium Scholarship Program through the partnership of De La Salle University - Manila (DLSU-M) and Department of Science and Technology - Science Education Institute (DOST–SEI) for the financial support in his pursuit of a degree in Master of Science in Mechanical Engineering.
PY - 2019/3/12
Y1 - 2019/3/12
N2 - The growing global energy demand and continuous dependency on fossil fuels have triggered concerns over energy security and global warming. This issue has led to the prioritization of renewable sources in order to achieve sustainable development in the energy sector. The use of hybrid renewable sources and polygeneration systems to develop a sustainable energy system have also been emphasized in the literature. Thus, this study aims to optimize the design of a hybrid renewable energy-water system for tropical buildings. A fuzzy quadratic programming model was developed from a system architecture utilizing solar and biomass sources to meet electricity, cooling, heating, and water demands. The objective is to maximize the degree of satisfaction, which is based on multiple objectives of meeting the projected demand and minimizing the economic and environmental impacts. Technical, economic, and environmental constraints are included in the model based on fuzzy membership functions. The model was demonstrated using a case study considering a tropical commercial hotel building. The optimized system design yields a degree of satisfaction of 0.9999, compared to 0.1351 for a system with solar energy as the only source. These results highlight the benefit of renewable source hybridization and polygeneration to design a sustainable energy system.
AB - The growing global energy demand and continuous dependency on fossil fuels have triggered concerns over energy security and global warming. This issue has led to the prioritization of renewable sources in order to achieve sustainable development in the energy sector. The use of hybrid renewable sources and polygeneration systems to develop a sustainable energy system have also been emphasized in the literature. Thus, this study aims to optimize the design of a hybrid renewable energy-water system for tropical buildings. A fuzzy quadratic programming model was developed from a system architecture utilizing solar and biomass sources to meet electricity, cooling, heating, and water demands. The objective is to maximize the degree of satisfaction, which is based on multiple objectives of meeting the projected demand and minimizing the economic and environmental impacts. Technical, economic, and environmental constraints are included in the model based on fuzzy membership functions. The model was demonstrated using a case study considering a tropical commercial hotel building. The optimized system design yields a degree of satisfaction of 0.9999, compared to 0.1351 for a system with solar energy as the only source. These results highlight the benefit of renewable source hybridization and polygeneration to design a sustainable energy system.
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U2 - 10.1109/HNICEM.2018.8666430
DO - 10.1109/HNICEM.2018.8666430
M3 - Conference contribution
AN - SCOPUS:85064119110
T3 - 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018
BT - 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018
Y2 - 29 November 2018 through 2 December 2018
ER -