Optimization of Green Energy Alternatives Under Uncertainty

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Optimization of Green Energy Alternatives Under Uncertainty Beyzanur Cayir Ervural1 Received: 2 April 2020 / Accepted: 15 October 2020 © King Fahd University of Petroleum & Minerals 2020

Abstract Fuzzy goal programming is one of the most substantial optimization instruments for energy management decisions involving a large number of stakeholders from various fields. Green energy resources are among the new energy management strategies closely followed by the whole world. It is essential to give priority to renewable energy sources rather than fossils because of their many advantages. However, optimal investment plans should be developed by analyzing the technical–economic and environmental effects of existing green energy resources on society and by taking into account other prominent balances and authorities. In this study, we present a practical decision model-fuzzy goal programming approach- which combines the optimum distribution of green power plants to achieve a balance between energy consumption/production quantities smoothly and to provide sustainable development principles according to Turkey’s energy goals under the uncertain environment. In order to evaluate the stability of the model, a sensitivity analysis was performed to the model. We discuss the obtained results for the advancement of long-term green energy strategies that will guide urban planners and energy policy-makers to make strategically important decisions within a sustainable and green energy framework. Keywords Optimization · Fuzzy goal programming · Green energy planning · Resource allocation

1 Introduction In energy planning, limited resources must be managed correctly, and optimum solutions must be provided in the long term. The correct energy policy application offers many advantages to energy policy-makers/managers on various issues such as energy efficiency [1], energy security, energy independence, and accurate forecasting of energy demand. Effective management and utilization of renewable energy potentials are among the energy policies reported by the Ministry of Energy and Natural Resources (MENR) in Turkey [2]. In line with strategic energy efforts, Turkey will expand its energy diversity, including solar energy, wind energy, hydropower, and biomass energy sources, with capacity expansion operations. Uncertainty has arisen where a model, a system, or a decision may have many consequences covering multidimensional areas that appear in complex states such as energy management, optimal distribution of energy resources, and identification of energy grid [3]. Generally,

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Beyzanur Cayir Ervural [email protected]

energy planning problems rely on structuring trade-off decisions due to conflicting objectives [4]. Energy plans contain multidirectional judgments concerning the ideal mix of different power plants to be installed at each facility and decisions to expand capacity for each facility over a specified period of time [5]. In particular, there is a lot of uncertainty inhe