TY - GEN
T1 - Development of an Optimization Model for an Integrated Renewable-Storage Energy System in a Mixed-Use Building
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.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - The rise of mixed-use buildings contributes to the sustainable development of cities but are still met with challenges in energy management due to the lack of energy efficiency and sustainability guidelines. The use of integrated renewable-storage energy systems is a more beneficial solution to this problem over individual solutions; however, most design studies in the literature only focus on single-type of buildings or solutions. Thus, this study aims to develop an optimization model to determine the design capacities of an integrated energy system for mixed-use buildings. The objective is to minimize net present costs, subject to sizing, energy balances, and operational constraints. The case study considered a mixed-use building in a tropical area, with solar photovoltaic system as the renewable energy source and Lithium-ion battery as the energy storage system technology. The model was developed in HOMER Grid software, and economic metrics were used to evaluate and compare the proposed system to the following design cases: business-as-usual, stand-alone renewable source, and standalone energy storage. The results show that the integrated system has the lowest equivalent annual costs despite its high capital costs. Still, it has the most attractive economic case based on the evaluation metrics compared to other design cases.
AB - The rise of mixed-use buildings contributes to the sustainable development of cities but are still met with challenges in energy management due to the lack of energy efficiency and sustainability guidelines. The use of integrated renewable-storage energy systems is a more beneficial solution to this problem over individual solutions; however, most design studies in the literature only focus on single-type of buildings or solutions. Thus, this study aims to develop an optimization model to determine the design capacities of an integrated energy system for mixed-use buildings. The objective is to minimize net present costs, subject to sizing, energy balances, and operational constraints. The case study considered a mixed-use building in a tropical area, with solar photovoltaic system as the renewable energy source and Lithium-ion battery as the energy storage system technology. The model was developed in HOMER Grid software, and economic metrics were used to evaluate and compare the proposed system to the following design cases: business-as-usual, stand-alone renewable source, and standalone energy storage. The results show that the integrated system has the lowest equivalent annual costs despite its high capital costs. Still, it has the most attractive economic case based on the evaluation metrics compared to other design cases.
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U2 - 10.1109/HNICEM48295.2019.9072848
DO - 10.1109/HNICEM48295.2019.9072848
M3 - Conference contribution
AN - SCOPUS:85084733497
T3 - 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2019
BT - 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2019
Y2 - 29 November 2019 through 1 December 2019
ER -