Anjar Priandoyo

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Energy Policy Selection in Indonesia: AHP, MCDA, LCA, Scenario Analysis

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“What is the most effective energy policy” is the interesting question that scientist from various discipline trying to answer this. I would focussing this effort on physical science point of view, where there are various method that can be choose.

Multi-criteria Decision Analysis (MCDA), is a sub-discipline of operations research that explicitly considers multiple criteria in decision-making environments. MCDM methods for example AHP (Analytic Hierarchy Process), ELECTRE, MACBETH,

Multi-objective optimization, is an area of multiple criteria decision making, that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously. For example study by Oliveira and Antunes (2011) on multi-objective multi-sectoral economy-energy-environment model.

Modelling Approach
Scenario Analysis: Bottom Up Optimization: MARKAL (Das and Alhgren, 2009)

Scenario Analysis: Bottom Up Accounting: LEAP

Life cycle assessment (LCA), Finnveden et al (2009) on Recent development in life cycle assessment mention that Life Cycle Assessment is a tool to assess the environmental impacts and resources used throughout a product’s life cycle, i.e., from raw material acquisition, via production and use phases, to waste management.

Analytic Hierarchy Process (AHP), Rumbayan and Nagasaka (2012) use AHP on renewable energy prioritization, Tasri and Susilawati (2014) using Fuzzy AHP.


Written by Anjar Priandoyo

Desember 10, 2015 pada 6:56 pm

Ditulis dalam Science

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