•Presently, Engr. Jeffrey T. Dellosa is the Director of the Technology Transfer and Licensing Office (TTLO) and the Manager of the Innovation and Technology Support Office (ITSO) since 2015 and is the Technology Business Incubator (TBI) Project Lead in CSU promoting technology-based and student-led entrepreneurship, business ventures or startups since 2017
This study provides a comprehensive overview of the risks and challenges associated with floating... more This study provides a comprehensive overview of the risks and challenges associated with floating solar photovoltaic (FSPV) systems while identifying the best ways to promote the growth and success of this promising technology. Using a hazard identification and risk assessment methodology, this study categorizes risks into environmental, technical, regulatory, economic, and social risks. A risk assessment was conducted to determine the potential risks of a small-scale FSPV system in Philippine Lakes. Risks with high probability of occurrence and severity include health and safety, stability, installation and maintenance costs, and corrosion. This study proposes recommendations for mitigating these risks. This study also examines policies and programs from various countries that have successfully promoted the adoption of FSPV technology. Currently, countries such as China, Japan, and South Korea account for over 90% of the FSPV deployments. This study highlights the programs and incentives that accelerated FSPV deployments in these countries, such as the standard Feed-In-Tariff (FIT) ''Build Plan,'' ''Top Runner Program, and poverty alleviation program in China, significant FITs in Japan, and revised Renewable Portfolio Standards (RPS) and research and development (R&D) support in South Korea. Overall, this study provides valuable insights for policymakers, industry stakeholders, and other interested parties in the ongoing discussions of FSPV systems. Despite the risks and challenges associated with FSPV, the potential of this technology to play a significant role in the transition to a low-carbon, sustainable future cannot be ignored. INDEX TERMS Floating solar photovoltaic system, risk assessment, policy formulation, risks, challenges in floating solar.
This paper examines the economic feasibility of implementing a Floating Solar Photovoltaic (FSPV)... more This paper examines the economic feasibility of implementing a Floating Solar Photovoltaic (FSPV) system in a Philippine Lake using the PVsyst simulation tool. The study involved a detailed simulation of the FSPV system's performance, considering various environmental and technical parameters. Key aspects such as system configuration, energy yield, and financial metrics including payback period and net present value were analyzed. Results indicate that the FSPV system could significantly contribute to local energy needs while proving to be a financially viable investment due to substantial reductions in CO2 emissions and lower energy costs compared to traditional power sources. According to assessments and simulations performed using PVSyst software, the FSPV system would possess a capacity of 10 kWp, with an expected available energy output of 13,599 kWh per year and an expected energy consumption of 12,940 kWh per year. The economic modeling of the FSPV system revealed a relatively short payback period of 4.8 years, with a net present value of Php 741,732.00 and a substantial return on investment of 227.5%. The Levelized Cost of Energy (LCOE) was estimated at Php 6.18 per kWh. The study underscores the potential of FSPV systems to meet the renewable energy needs of isolated communities by leveraging local water bodies for solar installations.
Increasing energy demands and the pursuit of sustainable and clean energy sources have intensifie... more Increasing energy demands and the pursuit of sustainable and clean energy sources have intensified interest in Floating Solar Photovoltaic (FSPV) systems, particularly for off-grid applications. FSPV technology presents a strategic alternative for countries with limited land but ample water bodies, contributing to energy diversification and conservation of arable land. This paper provides a comprehensive technological trends, advancements, and challenges in the deployment of FSPV systems, drawing from an array of highly regarded publications and extensive patent searches via the Derwent Innovation database and various publications. While large-scale FSPV deployments have been successfully integrated with existing hydroelectric power plants and grid systems, the application of FSPV technology for local community use remains underexplored. The paper identifies the lack of comprehensive literature on stand-alone FSPV systems that include battery charging capabilities and integrated monitoring and control systems to mitigate environmental risks. Moreover, the paper discusses the economic, regulatory, technical, cultural, and environmental barriers to FSPV deployment. It suggests that continuous research and development, backed by supportive policy frameworks, are crucial for overcoming these challenges. The aim is to pave the way for resilient, community-centric FSPV installations that can withstand extreme weather and cater to localized energy needs.
International Journal of Electrical and Computer Engineering (IJECE), 2024
There is an increasing trend among customers of an electrical distribution utility to adopt grid-... more There is an increasing trend among customers of an electrical distribution utility to adopt grid-tied solar photovoltaic systems. This shift offers multiple benefits to consumers, including lower monthly electricity bills and a contribution to the development of green energy. For the electrical distribution utility, various impacts may arise due to varying levels of solar energy penetration. This study investigates the effects of integrating varying levels of solar photovoltaic penetration into the commercial consumer network of Cagayan de Oro Electric Power and Light Company (CEPALCO) in the Philippines. Utilizing PowerWorld simulator, the research evaluates 11 different scenarios with solar penetration levels adjusted according to the percentage of load demand. Key findings include alterations in solar megavolt ampere of reactive power output, bus voltage levels, transformer power loading, and transmission line ampacity, with frequency levels remaining stable across scenarios. The optimal solar penetration level was identified at 70%, balancing the benefits of solar energy integration with the need to maintain grid stability and operational limits. This optimal level ensures the effective utilization of renewable energy sources without compromising the performance of CEPALCO's electrical infrastructure. The research concludes with recommendations for maintaining grid stability and operational limits at the optimal solar penetration limits.
Engineering, Technology & Applied Science Research
The Floating Solar Photovoltaic (FSPV) system is an emerging solar PV installation, gaining tract... more The Floating Solar Photovoltaic (FSPV) system is an emerging solar PV installation, gaining traction primarily due to its distinct advantages over other forms of installations. FSPV mainly solves the problem when land area is scarce and the power plant capacity is on the megawatt (MW) scale. This paper investigates the resource potential of FSPV, specifically in Lake Mainit, Caraga Region, Philippines. This study implemented a descriptive research design to identify the resources needed to implement an FSPV system in the said lake. The Lake Mainit area can generate 762.96MWh per year. Accounting for the needs of the community, the resources needed to put up the FSPV should satisfy the 35,640Whr daily energy requirement of the community. Based on the analysis, the computed FSPV system size is 9.90kWp. The components required to implement an Artificial Intelligence (AI) integrated monitoring and data processing system for fault diagnosis and detection to help mitigate impact to the FS...
With the rapidly increasing number of automobiles, car traffic congestion in parking areas is gro... more With the rapidly increasing number of automobiles, car traffic congestion in parking areas is growing at an alarming rate in every urban city. This study gives the drivers or users a choice of where the most available parking cell to park their vehicles. The study developed a prototype that monitors the real-time scenarios in every parking area. Vehicle detection technology using WSN was implemented. Sensor nodes using HMC1021Z Magneto Resistive Sensor and US-100 Ultrasonic Sonar Sensor, a sink node and a gateway/server constitute a wireless network monitoring that acts as a wayfinder to recognize the vacant spots in the area. Each sensor node used a UHF-Ex data transceiver that receives and transmits information, and a microcontroller Gizduino+ Mini Atmega 324P and Gizduino Atmega 328P as a processing unit. A display unit installed at the entrance of the parking area provides real-time parking information which used Raspberry Pi and an Infrared (IR)-based touch screen reservation section using color OLED (Organic Light Emitting Diode) shield.
2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2021
Energy security is a very important requirement for economic growth and stability. Renewable ener... more Energy security is a very important requirement for economic growth and stability. Renewable energy (RE) growth is one of the key elements of this area. The utility-type or the large-scale use of solar photovoltaic (PV) panels to produce electricity is becoming one of the most cost-effective energy sources. Solar generation costs have declined over the past few years, driven by an explosion in PV cell output and production. The objective of this study was to present the viability – both the technical and the economic feasibility of a 5 MWp solar photovoltaic (PV) farm in a specific location in Butuan City, Philippines. This paper performed the technical and economic analysis based on present market conditions and the availability of local materials from solar panels to power inverters, the build-on-systems (BOS), and cost considerations in putting up the large-scale PV utility using the PVSyst Software as the simulation tool. For a 5 MWp system, the investment could reach close to 300 million pesos (or USD6.25M). However, the results of the simulations revealed very promising financial benefits over a long period or in the lifespan of the solar power farm. The payback period is at 4.23 years, the return of investments or the ROI is at 506.2%, and other economic indicators are all positives and great support for establishing the solar PV farm. Over the lifetime of the PV farm, a total of 109,828.4 tons of CO2 will be avoided using the solar farm project. The authors highly recommend the proposed solar farm project to be implemented based on the results of this study.
With the rapidly increasing number of automobiles, car traffic congestion in parking areas is gro... more With the rapidly increasing number of automobiles, car traffic congestion in parking areas is growing at an alarming rate in every urban city. This study gives the drivers or users a choice of where the most available parking cell to park their vehicles. The study developed a prototype that monitors the real-time scenarios in every parking area. Vehicle detection technology using WSN was implemented. Sensor nodes using HMC1021Z Magneto Resistive Sensor and US-100 Ultrasonic Sonar Sensor, a sink node and a gateway/server constitute a wireless network monitoring that acts as a wayfinder to recognize the vacant spots in the area. Each sensor node used a UHF-Ex data transceiver that receives and transmits information, and a microcontroller Gizduino+ Mini Atmega 324P and Gizduino Atmega 328P as a processing unit. A display unit installed at the entrance of the parking area provides real-time parking information which used Raspberry Pi and an Infrared (IR)-based touch screen reservation section using color OLED (Organic Light Emitting Diode) shield.
Engineering, Technology and Applied Science Research (ETASR) Journal, 2022
The Floating Solar Photovoltaic (FSPV) system is an emerging solar PV installation, gaining tract... more The Floating Solar Photovoltaic (FSPV) system is an emerging solar PV installation, gaining traction primarily due to its distinct advantages over other forms of installations. FSPV mainly solves the problem when land area is scarce and the power plant capacity is on the megawatt (MW) scale. This paper investigates the resource potential of FSPV, specifically in Lake Mainit, Caraga Region, Philippines. This study implemented a descriptive research design to identify the resources needed to implement an FSPV system in the said lake. The Lake Mainit area can generate 762.96MWh per year. Accounting for the needs of the community, the resources needed to put up the FSPV should satisfy the 35,640Whr daily energy requirement of the community. Based on the analysis, the computed FSPV system size is 9.90kWp. The components required to implement an Artificial Intelligence (AI) integrated monitoring and data processing system for fault diagnosis and detection to help mitigate impact to the FSPV system with the undesirable weather conditions were also identified.
Engineering, Technology and Applied Science Research (ETASR), 2022
The Floating Solar Photovoltaic (FSPV) system is an emerging solar PV installation, gaining tract... more The Floating Solar Photovoltaic (FSPV) system is an emerging solar PV installation, gaining traction primarily due to its distinct advantages over other forms of installations. FSPV mainly solves the problem when land area is scarce and the power plant capacity is on the megawatt (MW) scale. This paper investigates the resource potential of FSPV, specifically in Lake Mainit, Caraga Region, Philippines. This study implemented a descriptive research design to identify the resources needed to implement an FSPV system in the said lake. The Lake Mainit area can generate 762.96MWh per year. Accounting for the needs of the community, the resources needed to put up the FSPV should satisfy the 35,640Whr daily energy requirement of the community. Based on the analysis, the computed FSPV system size is 9.90kWp. The components required to implement an Artificial Intelligence (AI) integrated monitoring and data processing system for fault diagnosis and detection to help mitigate impact to the FSPV system with the undesirable weather conditions were also identified.
2017 IEEE Global Engineering Education Conference (EDUCON), 2017
This paper presents the impact of the intellectual property (IP) education program of the Innovat... more This paper presents the impact of the intellectual property (IP) education program of the Innovation and Technology Support Offices (ITSOs) in Philippine universities, especially in the field of engineering and its allied courses. This descriptive study shows how the ITSOs' IP education program has led to the increase of patent applications from different engineering disciplines and the onset of technology commercialization in Philippine universities this decade. ITSOs were established in the different universities in the country to facilitate IP creation, protection and technology commercialization. Relevant information was gathered from the different ITSOs in the country and relevant statistics from the Intellectual Property Office of the Philippines (IPOPHL) were obtained for this paper. Prior to the birth of ITSO, intellectual property protection and technology commercialization activities in the field of engineering in Philippine universities were not apparent. This study r...
This paper's main objective is to examine the state of the art of artificial intelligence (AI) te... more This paper's main objective is to examine the state of the art of artificial intelligence (AI) techniques and tools in power management, maintenance, and control of renewable energy systems (RES) and specifically to the solar power systems. The findings would allow researchers to innovate the current state of technologies and possibly use the standard and successful techniques in building AI-powered renewable energy systems, specifically for solar energy. Various peer-reviewed journal articles were examined to determine the condition and advancement of the AI techniques in the field of RES, specifically in solar power systems. Different theoretical and experimental AI techniques often used and reliable techniques determined were the Artificial Neural Network (ANN), Backpropagation Neural Network (BPNN), Adaptive Neuro-Fuzzy Inference System (ANFIS), and Genetic Algorithm (GA). These techniques are widely used in different types of solar predictions based on the findings of this review. However, ANN stood out as the best of these techniques. ANN's specific advantages over its competition include short computing time, higher accuracy, and generalization capabilities over other modeling techniques. This would translate to cost efficiency over other modeling techniques.
2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2021
This paper’s main objective is to examine the state of the art of artificial intelligence (AI) te... more This paper’s main objective is to examine the state of the art of artificial intelligence (AI) techniques and tools in power management, maintenance, and control of renewable energy systems (RES) and specifically to the solar power systems. The findings would allow researchers to innovate the current state of technologies and possibly use the standard and successful techniques in building AI-powered renewable energy systems, specifically for solar energy. Various peer-reviewed journal articles were examined to determine the condition and advancement of the AI techniques in the field of RES, specifically in solar power systems. Different theoretical and experimental AI techniques often used and reliable techniques determined were the Artificial Neural Network (ANN), Backpropagation Neural Network (BPNN), Adaptive Neuro-Fuzzy Inference System (ANFIS), and Genetic Algorithm (GA). These techniques are widely used in different types of solar predictions based on the findings of this review. However, ANN stood out as the best of these techniques. ANN’s specific advantages over its competition include short computing time, higher accuracy, and generalization capabilities over other modeling techniques. This would translate to cost efficiency over other modeling techniques.
This study provides a comprehensive overview of the risks and challenges associated with floating... more This study provides a comprehensive overview of the risks and challenges associated with floating solar photovoltaic (FSPV) systems while identifying the best ways to promote the growth and success of this promising technology. Using a hazard identification and risk assessment methodology, this study categorizes risks into environmental, technical, regulatory, economic, and social risks. A risk assessment was conducted to determine the potential risks of a small-scale FSPV system in Philippine Lakes. Risks with high probability of occurrence and severity include health and safety, stability, installation and maintenance costs, and corrosion. This study proposes recommendations for mitigating these risks. This study also examines policies and programs from various countries that have successfully promoted the adoption of FSPV technology. Currently, countries such as China, Japan, and South Korea account for over 90% of the FSPV deployments. This study highlights the programs and incentives that accelerated FSPV deployments in these countries, such as the standard Feed-In-Tariff (FIT) ''Build Plan,'' ''Top Runner Program, and poverty alleviation program in China, significant FITs in Japan, and revised Renewable Portfolio Standards (RPS) and research and development (R&D) support in South Korea. Overall, this study provides valuable insights for policymakers, industry stakeholders, and other interested parties in the ongoing discussions of FSPV systems. Despite the risks and challenges associated with FSPV, the potential of this technology to play a significant role in the transition to a low-carbon, sustainable future cannot be ignored. INDEX TERMS Floating solar photovoltaic system, risk assessment, policy formulation, risks, challenges in floating solar.
This paper examines the economic feasibility of implementing a Floating Solar Photovoltaic (FSPV)... more This paper examines the economic feasibility of implementing a Floating Solar Photovoltaic (FSPV) system in a Philippine Lake using the PVsyst simulation tool. The study involved a detailed simulation of the FSPV system's performance, considering various environmental and technical parameters. Key aspects such as system configuration, energy yield, and financial metrics including payback period and net present value were analyzed. Results indicate that the FSPV system could significantly contribute to local energy needs while proving to be a financially viable investment due to substantial reductions in CO2 emissions and lower energy costs compared to traditional power sources. According to assessments and simulations performed using PVSyst software, the FSPV system would possess a capacity of 10 kWp, with an expected available energy output of 13,599 kWh per year and an expected energy consumption of 12,940 kWh per year. The economic modeling of the FSPV system revealed a relatively short payback period of 4.8 years, with a net present value of Php 741,732.00 and a substantial return on investment of 227.5%. The Levelized Cost of Energy (LCOE) was estimated at Php 6.18 per kWh. The study underscores the potential of FSPV systems to meet the renewable energy needs of isolated communities by leveraging local water bodies for solar installations.
Increasing energy demands and the pursuit of sustainable and clean energy sources have intensifie... more Increasing energy demands and the pursuit of sustainable and clean energy sources have intensified interest in Floating Solar Photovoltaic (FSPV) systems, particularly for off-grid applications. FSPV technology presents a strategic alternative for countries with limited land but ample water bodies, contributing to energy diversification and conservation of arable land. This paper provides a comprehensive technological trends, advancements, and challenges in the deployment of FSPV systems, drawing from an array of highly regarded publications and extensive patent searches via the Derwent Innovation database and various publications. While large-scale FSPV deployments have been successfully integrated with existing hydroelectric power plants and grid systems, the application of FSPV technology for local community use remains underexplored. The paper identifies the lack of comprehensive literature on stand-alone FSPV systems that include battery charging capabilities and integrated monitoring and control systems to mitigate environmental risks. Moreover, the paper discusses the economic, regulatory, technical, cultural, and environmental barriers to FSPV deployment. It suggests that continuous research and development, backed by supportive policy frameworks, are crucial for overcoming these challenges. The aim is to pave the way for resilient, community-centric FSPV installations that can withstand extreme weather and cater to localized energy needs.
International Journal of Electrical and Computer Engineering (IJECE), 2024
There is an increasing trend among customers of an electrical distribution utility to adopt grid-... more There is an increasing trend among customers of an electrical distribution utility to adopt grid-tied solar photovoltaic systems. This shift offers multiple benefits to consumers, including lower monthly electricity bills and a contribution to the development of green energy. For the electrical distribution utility, various impacts may arise due to varying levels of solar energy penetration. This study investigates the effects of integrating varying levels of solar photovoltaic penetration into the commercial consumer network of Cagayan de Oro Electric Power and Light Company (CEPALCO) in the Philippines. Utilizing PowerWorld simulator, the research evaluates 11 different scenarios with solar penetration levels adjusted according to the percentage of load demand. Key findings include alterations in solar megavolt ampere of reactive power output, bus voltage levels, transformer power loading, and transmission line ampacity, with frequency levels remaining stable across scenarios. The optimal solar penetration level was identified at 70%, balancing the benefits of solar energy integration with the need to maintain grid stability and operational limits. This optimal level ensures the effective utilization of renewable energy sources without compromising the performance of CEPALCO's electrical infrastructure. The research concludes with recommendations for maintaining grid stability and operational limits at the optimal solar penetration limits.
Engineering, Technology & Applied Science Research
The Floating Solar Photovoltaic (FSPV) system is an emerging solar PV installation, gaining tract... more The Floating Solar Photovoltaic (FSPV) system is an emerging solar PV installation, gaining traction primarily due to its distinct advantages over other forms of installations. FSPV mainly solves the problem when land area is scarce and the power plant capacity is on the megawatt (MW) scale. This paper investigates the resource potential of FSPV, specifically in Lake Mainit, Caraga Region, Philippines. This study implemented a descriptive research design to identify the resources needed to implement an FSPV system in the said lake. The Lake Mainit area can generate 762.96MWh per year. Accounting for the needs of the community, the resources needed to put up the FSPV should satisfy the 35,640Whr daily energy requirement of the community. Based on the analysis, the computed FSPV system size is 9.90kWp. The components required to implement an Artificial Intelligence (AI) integrated monitoring and data processing system for fault diagnosis and detection to help mitigate impact to the FS...
With the rapidly increasing number of automobiles, car traffic congestion in parking areas is gro... more With the rapidly increasing number of automobiles, car traffic congestion in parking areas is growing at an alarming rate in every urban city. This study gives the drivers or users a choice of where the most available parking cell to park their vehicles. The study developed a prototype that monitors the real-time scenarios in every parking area. Vehicle detection technology using WSN was implemented. Sensor nodes using HMC1021Z Magneto Resistive Sensor and US-100 Ultrasonic Sonar Sensor, a sink node and a gateway/server constitute a wireless network monitoring that acts as a wayfinder to recognize the vacant spots in the area. Each sensor node used a UHF-Ex data transceiver that receives and transmits information, and a microcontroller Gizduino+ Mini Atmega 324P and Gizduino Atmega 328P as a processing unit. A display unit installed at the entrance of the parking area provides real-time parking information which used Raspberry Pi and an Infrared (IR)-based touch screen reservation section using color OLED (Organic Light Emitting Diode) shield.
2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2021
Energy security is a very important requirement for economic growth and stability. Renewable ener... more Energy security is a very important requirement for economic growth and stability. Renewable energy (RE) growth is one of the key elements of this area. The utility-type or the large-scale use of solar photovoltaic (PV) panels to produce electricity is becoming one of the most cost-effective energy sources. Solar generation costs have declined over the past few years, driven by an explosion in PV cell output and production. The objective of this study was to present the viability – both the technical and the economic feasibility of a 5 MWp solar photovoltaic (PV) farm in a specific location in Butuan City, Philippines. This paper performed the technical and economic analysis based on present market conditions and the availability of local materials from solar panels to power inverters, the build-on-systems (BOS), and cost considerations in putting up the large-scale PV utility using the PVSyst Software as the simulation tool. For a 5 MWp system, the investment could reach close to 300 million pesos (or USD6.25M). However, the results of the simulations revealed very promising financial benefits over a long period or in the lifespan of the solar power farm. The payback period is at 4.23 years, the return of investments or the ROI is at 506.2%, and other economic indicators are all positives and great support for establishing the solar PV farm. Over the lifetime of the PV farm, a total of 109,828.4 tons of CO2 will be avoided using the solar farm project. The authors highly recommend the proposed solar farm project to be implemented based on the results of this study.
With the rapidly increasing number of automobiles, car traffic congestion in parking areas is gro... more With the rapidly increasing number of automobiles, car traffic congestion in parking areas is growing at an alarming rate in every urban city. This study gives the drivers or users a choice of where the most available parking cell to park their vehicles. The study developed a prototype that monitors the real-time scenarios in every parking area. Vehicle detection technology using WSN was implemented. Sensor nodes using HMC1021Z Magneto Resistive Sensor and US-100 Ultrasonic Sonar Sensor, a sink node and a gateway/server constitute a wireless network monitoring that acts as a wayfinder to recognize the vacant spots in the area. Each sensor node used a UHF-Ex data transceiver that receives and transmits information, and a microcontroller Gizduino+ Mini Atmega 324P and Gizduino Atmega 328P as a processing unit. A display unit installed at the entrance of the parking area provides real-time parking information which used Raspberry Pi and an Infrared (IR)-based touch screen reservation section using color OLED (Organic Light Emitting Diode) shield.
Engineering, Technology and Applied Science Research (ETASR) Journal, 2022
The Floating Solar Photovoltaic (FSPV) system is an emerging solar PV installation, gaining tract... more The Floating Solar Photovoltaic (FSPV) system is an emerging solar PV installation, gaining traction primarily due to its distinct advantages over other forms of installations. FSPV mainly solves the problem when land area is scarce and the power plant capacity is on the megawatt (MW) scale. This paper investigates the resource potential of FSPV, specifically in Lake Mainit, Caraga Region, Philippines. This study implemented a descriptive research design to identify the resources needed to implement an FSPV system in the said lake. The Lake Mainit area can generate 762.96MWh per year. Accounting for the needs of the community, the resources needed to put up the FSPV should satisfy the 35,640Whr daily energy requirement of the community. Based on the analysis, the computed FSPV system size is 9.90kWp. The components required to implement an Artificial Intelligence (AI) integrated monitoring and data processing system for fault diagnosis and detection to help mitigate impact to the FSPV system with the undesirable weather conditions were also identified.
Engineering, Technology and Applied Science Research (ETASR), 2022
The Floating Solar Photovoltaic (FSPV) system is an emerging solar PV installation, gaining tract... more The Floating Solar Photovoltaic (FSPV) system is an emerging solar PV installation, gaining traction primarily due to its distinct advantages over other forms of installations. FSPV mainly solves the problem when land area is scarce and the power plant capacity is on the megawatt (MW) scale. This paper investigates the resource potential of FSPV, specifically in Lake Mainit, Caraga Region, Philippines. This study implemented a descriptive research design to identify the resources needed to implement an FSPV system in the said lake. The Lake Mainit area can generate 762.96MWh per year. Accounting for the needs of the community, the resources needed to put up the FSPV should satisfy the 35,640Whr daily energy requirement of the community. Based on the analysis, the computed FSPV system size is 9.90kWp. The components required to implement an Artificial Intelligence (AI) integrated monitoring and data processing system for fault diagnosis and detection to help mitigate impact to the FSPV system with the undesirable weather conditions were also identified.
2017 IEEE Global Engineering Education Conference (EDUCON), 2017
This paper presents the impact of the intellectual property (IP) education program of the Innovat... more This paper presents the impact of the intellectual property (IP) education program of the Innovation and Technology Support Offices (ITSOs) in Philippine universities, especially in the field of engineering and its allied courses. This descriptive study shows how the ITSOs' IP education program has led to the increase of patent applications from different engineering disciplines and the onset of technology commercialization in Philippine universities this decade. ITSOs were established in the different universities in the country to facilitate IP creation, protection and technology commercialization. Relevant information was gathered from the different ITSOs in the country and relevant statistics from the Intellectual Property Office of the Philippines (IPOPHL) were obtained for this paper. Prior to the birth of ITSO, intellectual property protection and technology commercialization activities in the field of engineering in Philippine universities were not apparent. This study r...
This paper's main objective is to examine the state of the art of artificial intelligence (AI) te... more This paper's main objective is to examine the state of the art of artificial intelligence (AI) techniques and tools in power management, maintenance, and control of renewable energy systems (RES) and specifically to the solar power systems. The findings would allow researchers to innovate the current state of technologies and possibly use the standard and successful techniques in building AI-powered renewable energy systems, specifically for solar energy. Various peer-reviewed journal articles were examined to determine the condition and advancement of the AI techniques in the field of RES, specifically in solar power systems. Different theoretical and experimental AI techniques often used and reliable techniques determined were the Artificial Neural Network (ANN), Backpropagation Neural Network (BPNN), Adaptive Neuro-Fuzzy Inference System (ANFIS), and Genetic Algorithm (GA). These techniques are widely used in different types of solar predictions based on the findings of this review. However, ANN stood out as the best of these techniques. ANN's specific advantages over its competition include short computing time, higher accuracy, and generalization capabilities over other modeling techniques. This would translate to cost efficiency over other modeling techniques.
2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2021
This paper’s main objective is to examine the state of the art of artificial intelligence (AI) te... more This paper’s main objective is to examine the state of the art of artificial intelligence (AI) techniques and tools in power management, maintenance, and control of renewable energy systems (RES) and specifically to the solar power systems. The findings would allow researchers to innovate the current state of technologies and possibly use the standard and successful techniques in building AI-powered renewable energy systems, specifically for solar energy. Various peer-reviewed journal articles were examined to determine the condition and advancement of the AI techniques in the field of RES, specifically in solar power systems. Different theoretical and experimental AI techniques often used and reliable techniques determined were the Artificial Neural Network (ANN), Backpropagation Neural Network (BPNN), Adaptive Neuro-Fuzzy Inference System (ANFIS), and Genetic Algorithm (GA). These techniques are widely used in different types of solar predictions based on the findings of this review. However, ANN stood out as the best of these techniques. ANN’s specific advantages over its competition include short computing time, higher accuracy, and generalization capabilities over other modeling techniques. This would translate to cost efficiency over other modeling techniques.
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