A5009843833- Process Optimization and Integration
- Environmental Impact and Sustainability
- Sustainable Supply Chain Management
- Carbon Dioxide Capture Technologies
- Climate Change Policy and Economics
- Infrastructure Resilience and Vulnerability Analysis
- Hybrid Renewable Energy Systems
- Advanced Control Systems Optimization
- Sustainable Industrial Ecology
- Integrated Energy Systems Optimization
- Risk and Safety Analysis
- Multi-Criteria Decision Making
- Energy, Environment, and Transportation Policies
- Energy and Environment Impacts
- Electric Vehicles and Infrastructure
- Biofuel production and bioconversion
- Supply Chain Resilience and Risk Management
- CO2 Sequestration and Geologic Interactions
- Global Energy and Sustainability Research
- Recycling and Waste Management Techniques
- Chemistry and Chemical Engineering
- Water-Energy-Food Nexus Studies
- Computational Drug Discovery Methods
- Rough Sets and Fuzzy Logic
- Thermochemical Biomass Conversion Processes
De La Salle University
2015-2024
University of the Philippines Los Baños
2023
La Salle University
2018-2021
University of Manila
2020
Universitas Muhammadiyah Kupang
2019
Nutrition Center of the Philippines
2016-2017
National Research Council of the Philippines
2016-2017
Optimal deployment of renewable and cleaner energy in power system operations has been the topic interest to achieve deep cuts greenhouse gas emissions. However, intermittency wind solar impedes large-scale penetration generation (RPG) into grid. Use electrical storage (EES) facilities great potential mitigating variability RPG, will allow reducing dependency on fossil fuel based generators (FFBG). Hybrid systems (HPS) using both RPGs FFBGs are an alternative means dealing with problem....
Plastic waste pollution is a challenging and complex issue caused mainly by high consumption of single-use plastics the linear economy "extract-make-use-throw". Improvements in recycling efficiency, behaviour changes, circular business models, more precise management system are essential to reduce volume plastic waste. This paper proposes simplified conceptual model for smart separation based on sensor technology deep learning (DL) facilitate recovery recycling. The proposed could be applied...
Carbon capture and storage (CCS) is widely considered to be an essential technology for reducing carbon dioxide (CO2) emissions from sources such as power plants. It involves isolating CO2 exhaust gases then storing it in appropriate natural reservoir that acts a sink. Therefore, CCS able prevent entering the atmosphere. In this work, continuous-time mixed integer nonlinear programming (MINLP) model source–sink matching systems developed; initial converted into equivalent linear program...
Carbon capture and storage (CCS) involves capturing relatively pure carbon dioxide (CO 2 ) from gaseous combustion products storing it in various reservoirs. In this work, a multiperiod mixed integer linear programming model focusing primarily on physical temporal considerations of CO source–sink matching is proposed. sources are assumed to be characterized by variable flow rates fixed operating lives; the other hand, sinks finite injection rate capacity limits, as well earliest time...