Abstract
The energy resource planning takes into account various resources available and their demand. The energy planning endeavor involves finding a set of sources and conversion devices, so as to meet the energy requirements in an optimal manner. There are several exogenous and endogenous parameters of economy and environment causing huge uncertainty that is inferior in the longer term. In this chapter, development and application of a fuzzy mixed integer goal programming (FMIGP) model has been presented for rural cooking and heating end-uses. The developed model considers various scenarios such as economical, environmental, social acceptance and local resources to trade off between socio-economical and environmental issues. Due to uncertainty involved in real world energy planning, exact input data is impossible to acquire. Hence, FMIGP model is used to consider four fuzzy objectives. The solutions provide energy resource allocations at micro-level with minimized cost, minimized emission, maximized social acceptance and use of local resources.
Keywords
- Goal Programming
- Aspiration Level
- Fuzzy Goal
- Multiple Criterion Decision Make Decision Make
- Goal Programming Model
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 2012 Atlantis Press
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Jinturkar, A., Deshmukh, S. (2012). Fuzzy Multi-Objective Programming for Energy Resource Planning. In: Kahraman, C. (eds) Computational Intelligence Systems in Industrial Engineering. Atlantis Computational Intelligence Systems, vol 6. Atlantis Press, Paris. https://doi.org/10.2991/978-94-91216-77-0_15
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DOI: https://doi.org/10.2991/978-94-91216-77-0_15
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