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Jayne San Juan; Charlle Charlle Sy. Multi-Objective Target-Oriented Robust Optimization of Biomass Co-Firing Networks Under Quality Uncertainty. Journal of Sustainable Development of Energy, Water and Environment Systems 2021, 9, 1 -26.
AMA StyleJayne San Juan, Charlle Charlle Sy. Multi-Objective Target-Oriented Robust Optimization of Biomass Co-Firing Networks Under Quality Uncertainty. Journal of Sustainable Development of Energy, Water and Environment Systems. 2021; 9 (2):1-26.
Chicago/Turabian StyleJayne San Juan; Charlle Charlle Sy. 2021. "Multi-Objective Target-Oriented Robust Optimization of Biomass Co-Firing Networks Under Quality Uncertainty." Journal of Sustainable Development of Energy, Water and Environment Systems 9, no. 2: 1-26.
Biofuel production from microalgae biomass has been considered a viable alternative to harmful fossil fuels; however, challenges are faced regarding its economic sustainability. Process integration to yield various high-value bioproducts is implemented to raise profitability and sustainability. By incorporating a circular economy outlook, recirculation of resource flows is maximized to yield economic and environmental benefits through waste minimization. However, previous modeling studies have not looked into the opportunity of integrating productivity reduction related to the continuous recirculation and reuse of resources until it reaches its end of life. In this work, a novel multi-objective optimization model is developed centered on an algal biorefinery that simultaneously optimizes cost and environmental impact, adopts the principle of resource recovery and recirculation, and incorporates the life cycle assessment methodology to properly account for the environmental impacts of the system. An algal biorefinery involving end-products such as biodiesel, glycerol, biochar, and fertilizer was used for a case study to validate the optimization model. The generated optimal results are assessed and further analyzed through scenario analysis. It was seen that demand fluctuations and process unit efficiencies have significant effect on the optimal results.
Celine Solis; Jayne San Juan; Andres Mayol; Charlle Sy; Aristotle Ubando; Alvin Culaba. A Multi-Objective Life Cycle Optimization Model of an Integrated Algal Biorefinery toward a Sustainable Circular Bioeconomy Considering Resource Recirculation. Energies 2021, 14, 1416 .
AMA StyleCeline Solis, Jayne San Juan, Andres Mayol, Charlle Sy, Aristotle Ubando, Alvin Culaba. A Multi-Objective Life Cycle Optimization Model of an Integrated Algal Biorefinery toward a Sustainable Circular Bioeconomy Considering Resource Recirculation. Energies. 2021; 14 (5):1416.
Chicago/Turabian StyleCeline Solis; Jayne San Juan; Andres Mayol; Charlle Sy; Aristotle Ubando; Alvin Culaba. 2021. "A Multi-Objective Life Cycle Optimization Model of an Integrated Algal Biorefinery toward a Sustainable Circular Bioeconomy Considering Resource Recirculation." Energies 14, no. 5: 1416.
The novel coronavirus disease 2019 (COVID-19) is a truly wicked problem which has remained a stubborn issue plaguing multiple countries worldwide. The continuously increasing number of infections and deaths has driven several countries to implement control and response strategies including community lockdowns, physical distancing, and travel bans with different levels of success. However, a disease outbreak and the corresponding policies can cause disastrous economic consequences due to business closures and risk minimization behaviors. This paper develops a system dynamics framework of a disease outbreak system covering various policies to evaluate their effectiveness in mitigating transmission and the resulting economic burden. The system dynamics modeling approach captures the relationships, feedbacks, and delays in such a system, revealing meaningful insights on the dynamics of several response strategies.
Charlle Sy; Phoebe Mae Ching; Jayne Lois San Juan; Ezekiel Bernardo; Angelimarie Miguel; Andres Philip Mayol; Alvin Culaba; Aristotle Ubando; Jose Edgar Mutuc. Systems Dynamics Modeling of Pandemic Influenza for Strategic Policy Development: a Simulation-Based Analysis of the COVID-19 Case. Process Integration and Optimization for Sustainability 2021, 1 -14.
AMA StyleCharlle Sy, Phoebe Mae Ching, Jayne Lois San Juan, Ezekiel Bernardo, Angelimarie Miguel, Andres Philip Mayol, Alvin Culaba, Aristotle Ubando, Jose Edgar Mutuc. Systems Dynamics Modeling of Pandemic Influenza for Strategic Policy Development: a Simulation-Based Analysis of the COVID-19 Case. Process Integration and Optimization for Sustainability. 2021; ():1-14.
Chicago/Turabian StyleCharlle Sy; Phoebe Mae Ching; Jayne Lois San Juan; Ezekiel Bernardo; Angelimarie Miguel; Andres Philip Mayol; Alvin Culaba; Aristotle Ubando; Jose Edgar Mutuc. 2021. "Systems Dynamics Modeling of Pandemic Influenza for Strategic Policy Development: a Simulation-Based Analysis of the COVID-19 Case." Process Integration and Optimization for Sustainability , no. : 1-14.
Given increasing energy demand and global warming potential, the advancements in bioenergy production have become a key factor in combating these issues. Biorefineries have been effective in converting biomass into energy and valuable products with the added benefits of treating wastewater used as a cultivation medium. Recent developments enable relationships between sewage sludge and microalgae that could lead to higher biomass and energy yields. This study proposes a multi-objective optimization model that would assist stakeholders in designing an integrated system consisting of wastewater treatment systems, an algal-based bioenergy park, and a sludge-based bioenergy park that would decide which processes to use in treating wastewater and sludge while minimizing cost and carbon emissions. The baseline run of the model showed that the three plants were utilized in treating both sludge and water for the optimal answer. Running the model with no storage prioritizes water disposal, while having storage can help produce more energy. Sensitivity analysis was performed on storage costs and demand. Results show that decreasing the demand is directly proportional to the total costs while increasing it can help reduce expected costs through storage and utilizing process capacities. Costs of storage do not cause a huge overall difference in costs and directly follow the change.
Jayne Juan; Carlo Caligan; Maria Garcia; Jericho Mitra; Andres Mayol; Charlle Sy; Aristotle Ubando; Alvin Culaba. Multi-Objective Optimization of an Integrated Algal and Sludge-Based Bioenergy Park and Wastewater Treatment System. Sustainability 2020, 12, 7793 .
AMA StyleJayne Juan, Carlo Caligan, Maria Garcia, Jericho Mitra, Andres Mayol, Charlle Sy, Aristotle Ubando, Alvin Culaba. Multi-Objective Optimization of an Integrated Algal and Sludge-Based Bioenergy Park and Wastewater Treatment System. Sustainability. 2020; 12 (18):7793.
Chicago/Turabian StyleJayne Juan; Carlo Caligan; Maria Garcia; Jericho Mitra; Andres Mayol; Charlle Sy; Aristotle Ubando; Alvin Culaba. 2020. "Multi-Objective Optimization of an Integrated Algal and Sludge-Based Bioenergy Park and Wastewater Treatment System." Sustainability 12, no. 18: 7793.
The coronavirus disease 2019 (COVID-19) outbreak has burdened several countries. Its high transmissibility and mortality rate have caused devastating impacts on human lives. This has led countries to implement control strategies, such as social distancing, travel bans, and community lockdowns, with varying levels of success. However, a disease outbreak can cause significant economic disruption from business closures and risk avoidance behaviors. This paper raises policy recommendations through a system dynamics modeling approach. The developed model captures relationships, feedbacks, and delays present in a disease transmission system. The dynamics of several policies are analyzed and assessed based on effectiveness in mitigating infection and the resulting economic strain.
Charlle Sy; Ezekiel Bernardo; Angelimarie Miguel; Jayne Lois San Juan; Andres Philip Mayol; Phoebe Mae Ching; Alvin Culaba; Aristotle Ubando; Jose Edgar Mutuc. Policy Development for Pandemic Response Using System Dynamics: a Case Study on COVID-19. Process Integration and Optimization for Sustainability 2020, 4, 497 -501.
AMA StyleCharlle Sy, Ezekiel Bernardo, Angelimarie Miguel, Jayne Lois San Juan, Andres Philip Mayol, Phoebe Mae Ching, Alvin Culaba, Aristotle Ubando, Jose Edgar Mutuc. Policy Development for Pandemic Response Using System Dynamics: a Case Study on COVID-19. Process Integration and Optimization for Sustainability. 2020; 4 (4):497-501.
Chicago/Turabian StyleCharlle Sy; Ezekiel Bernardo; Angelimarie Miguel; Jayne Lois San Juan; Andres Philip Mayol; Phoebe Mae Ching; Alvin Culaba; Aristotle Ubando; Jose Edgar Mutuc. 2020. "Policy Development for Pandemic Response Using System Dynamics: a Case Study on COVID-19." Process Integration and Optimization for Sustainability 4, no. 4: 497-501.
Wastewater treatment facilities are known to process water by removing nutrients before being discharged into different water bodies or reused. Traditional treatment of wastewater, however, leads to the emission of greenhouse gases contributing to climate change and air pollution. Thus, there is a need to identify the optimal configuration of treatment processes wastewater, coming from different sources, have to go through to satisfy the output quality requirements of various disposal or reuse options, while minimizing costs and negative impact to the environment In addition, microalgae cultivation is a treatment alternative for wastewater since it can remove metals, nutrients, and contaminants from wastewater, with the added benefit of carbon sequestration. The cultivated algae can then be converted to renewable energy. Despite the potential benefits that can be gained from integrating wastewater treatment facilities with microalgal biofuel production, no optimization study has considered this opportunity. Considering different wastewater inputs, the joint system would select the best treatment process for nutrient removal and cultivating algae, weighing the trade-offs in cultivating algae on different water mediums, the appropriate harvesting technique, and whether the water by-product should be sent back to the treatment facility for further processing, disposal, or reuse. The energy produced from the plant may either be sold or used to operate the two facilities. In this work, a novel multi-objective optimization model is developed to design economically and environmentally efficient integration of wastewater treatment facilities and microalgal biofuel production plants through water exchanges. A case study is solved to demonstrate the model's decision on three different scenarios. In the objective of minimizing the costs, the model utilized the production of biofuels since it was subtracted from the expenses. As for minimizing carbon emissions, the model decided to operate the wastewater treatment plant since there were less processes used in the model. When goal programming was used in order to satisfy both objectives, the model found a balance between the two plants which in return chose the have some exchanges present.
Carlo James A. Caligan; Maria Mikayla S. Garcia; Jericho L. Mitra; Andres Philip Mayol; Jayne Lois G. San Juan; Alvin B. Culaba. Multi-objective optimization of water exchanges between a wastewater treatment facility and algal biofuel production plant. IOP Conference Series: Earth and Environmental Science 2020, 463, 1 .
AMA StyleCarlo James A. Caligan, Maria Mikayla S. Garcia, Jericho L. Mitra, Andres Philip Mayol, Jayne Lois G. San Juan, Alvin B. Culaba. Multi-objective optimization of water exchanges between a wastewater treatment facility and algal biofuel production plant. IOP Conference Series: Earth and Environmental Science. 2020; 463 ():1.
Chicago/Turabian StyleCarlo James A. Caligan; Maria Mikayla S. Garcia; Jericho L. Mitra; Andres Philip Mayol; Jayne Lois G. San Juan; Alvin B. Culaba. 2020. "Multi-objective optimization of water exchanges between a wastewater treatment facility and algal biofuel production plant." IOP Conference Series: Earth and Environmental Science 463, no. : 1.
The growth in energy demand, coupled with declining fossil fuel resources and the onset of climate change, has resulted in increased interest in renewable energy, particularly from biomass. Co-firing, which is the joint use of coal and biomass to generate electricity, is seen to be a practical immediate solution for reducing coal use and the associated emissions. However, biomass is difficult to manage because of its seasonal availability and variable quality. This study proposes a biomass co-firing supply chain optimization model that simultaneously minimizes costs and environmental emissions through goal programming. The economic costs considered include retrofitting investment costs, together with fuel, transport, and processing costs, while environmental emissions may come from transport, treatment, and combustion activities. This model incorporates the consideration of feedstock quality and its impact on storage, transportation, and pre-treatment requirements, as well as conversion yield and equipment efficiency. These considerations are shown to be important drivers of network decisions, emphasizing the importance of managing biomass and coal blend ratios to ensure that acceptable fuel properties are obtained.
Jayne Lois G. San Juan; Kathleen B. Aviso; Raymond R. Tan; Charlle L. Sy; Juan; Tan; Sy. A Multi-Objective Optimization Model for the Design of Biomass Co-Firing Networks Integrating Feedstock Quality Considerations. Energies 2019, 12, 2252 .
AMA StyleJayne Lois G. San Juan, Kathleen B. Aviso, Raymond R. Tan, Charlle L. Sy, Juan, Tan, Sy. A Multi-Objective Optimization Model for the Design of Biomass Co-Firing Networks Integrating Feedstock Quality Considerations. Energies. 2019; 12 (12):2252.
Chicago/Turabian StyleJayne Lois G. San Juan; Kathleen B. Aviso; Raymond R. Tan; Charlle L. Sy; Juan; Tan; Sy. 2019. "A Multi-Objective Optimization Model for the Design of Biomass Co-Firing Networks Integrating Feedstock Quality Considerations." Energies 12, no. 12: 2252.
Most contact center employees experience work related injuries, leading to decreased productivity and performance. The increased risk is due to poor workstation design, such as indecent noise level and duration exposure experienced by call center agents daily, while receiving and making calls on a headset or telephone. Some illnesses caused by prolonged exposure to unfavorable acoustics are headaches, increased anxiety levels, tinnitus, and noise-induced hearing loss. Mathematical modelling has only been applied in optimizing systems considering musculoskeletal disorders and only in other industries. Thus, it is important to consider the auditory ergonomic risks faced by call center agents mathematically. This study proposes Fuzzy Data Envelopment Risk Analysis (FDERA), a DEA-based risk analysis tool that considers the presence of imprecise data. The validity of the model is demonstrated using a case example. The results of the proposed tool are relative risk efficiency scores for each agent. Guidelines for interventions to improve risk efficiencies are presented using a matrix that provides possible preventive and corrective measures to address risks.
Erika Mae Go; Karl Benedict Ong; Jayne Lois San Juan; Wendy Gail Sia; Rendell Heindrick Tiu; Richard Li. Development of Fuzzy Data Envelopment Risk Analysis Applied on Auditory Ergonomics for Call Center Agents in the Philippines. Advances in Intelligent Systems and Computing 2018, 13 -22.
AMA StyleErika Mae Go, Karl Benedict Ong, Jayne Lois San Juan, Wendy Gail Sia, Rendell Heindrick Tiu, Richard Li. Development of Fuzzy Data Envelopment Risk Analysis Applied on Auditory Ergonomics for Call Center Agents in the Philippines. Advances in Intelligent Systems and Computing. 2018; ():13-22.
Chicago/Turabian StyleErika Mae Go; Karl Benedict Ong; Jayne Lois San Juan; Wendy Gail Sia; Rendell Heindrick Tiu; Richard Li. 2018. "Development of Fuzzy Data Envelopment Risk Analysis Applied on Auditory Ergonomics for Call Center Agents in the Philippines." Advances in Intelligent Systems and Computing , no. : 13-22.
Species selection is a crucial step in the planning phase of forestation programs given its impact on the results and on stakeholder interactions. This study develops a planning tool for forestation programs that incorporates the selection of tree species and the scheduling of planting and harvesting, while balancing the maximization of the carbon sequestered and income realized, into the forestation decision-making and planning process. The validation of the goal programming model formulated demonstrates that the characteristics of natural tree species along with the behavior of growth and timing of yield are significant factors in achieving the environmental and socio-economic aspirations. The proposed model is therefore useful in gauging species behavior and performance over time. Sensitivity analysis was also conducted where the behavior of the income generated and carbon sequestered with respect to the external factors such as carbon market prices, percentage area allocated for protection and discount factor was assessed.
Catherine Denise Rollan; Richard Li; Jayne Lois San Juan; Liezel Dizon; Karl Benedict Ong. A planning tool for tree species selection and planting schedule in forestation projects considering environmental and socio-economic benefits. Journal of Environmental Management 2018, 206, 319 -329.
AMA StyleCatherine Denise Rollan, Richard Li, Jayne Lois San Juan, Liezel Dizon, Karl Benedict Ong. A planning tool for tree species selection and planting schedule in forestation projects considering environmental and socio-economic benefits. Journal of Environmental Management. 2018; 206 ():319-329.
Chicago/Turabian StyleCatherine Denise Rollan; Richard Li; Jayne Lois San Juan; Liezel Dizon; Karl Benedict Ong. 2018. "A planning tool for tree species selection and planting schedule in forestation projects considering environmental and socio-economic benefits." Journal of Environmental Management 206, no. : 319-329.