A group fuzzy analytic network process to prioritize low carbon energy systems in the Philippines

• Main Authors: Promentilla, Michael Angelo B., Aviso, Kathleen B., Tan, Raymond Girard R.
• Format: text
• Published: Animo Repository 2014
• Subjects: Renewable energy sources > Philippines; Nuclear energy > Philippines; Energy development > Philippines; Multiple criteria decision making; Chemical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2548; https://animorepository.dlsu.edu.ph/context/faculty_research/article/3547/type/native/viewcontent
• Institution: De La Salle University

Low-carbon energy systems are being proposed as portfolio of solutions to mitigate CO2 emissions from the electricity-generating power sector. Stakeholder's perception on such technology plays a crucial role in its successful implementation. Not only the technological and economic aspects, but also the environmental and social aspects that surround these technologies should be considered in in determining which of these energy systems should be promoted, invested in, and subsidized. This decision problem should take into consideration the trade-offs due to several conflicting aspects involved in the prioritization. This paper thus proposes Fuzzy Analytic Network Process as a decision modeling tool in a group decision making environment to address the complexity of the decision structure and the uncertainty inherent in eliciting value judgments from stakeholders or experts. Fuzzy numbers are used to model the uncertainty, vagueness and incompleteness of information thus derived. The method then extends the fuzzy preference programming technique to derive the group priorities or weights from fuzzy pairwise comparative judgment matrices. A numerical example is presented to illustrate the proposed approach in prioritizing low carbon energy systems in the Philippines. © 2014 The Authors.