scholarly journals The model construction in airport renewable energy system scale planning based in Multi-Criteria Decision Making

2021 ◽  
Vol 7 ◽  
pp. 92-98
Author(s):  
Qin Jia ◽  
Hua-qing Hu ◽  
Jing-lei Yu
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Energy System ◽  
Model Construction ◽  
Multi Criteria Decision Making ◽  
Renewable Energy System

Sustainability Indicator of Renewable Energy System Based on Fuzzy Multi-Criteria Decision Making Methods

2011 ◽  
Vol 361-363 ◽  
pp. 1263-1273 ◽  
Author(s):  
Gang Liu ◽  
M. G. Rasul ◽  
M. T. O. Amanullah ◽  
M. M. K. Khan
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Energy System ◽  
Fuzzy Decision Making ◽  
Solar Pv ◽  
Sustainability Indicator ◽  
Renewable Energy System ◽  
General Indicator

Sustainability measurement of renewable energy system is complex, as is the system itself. The study proposes a general indicator to evaluate sustainability of a renewable energy system. In order to comprehensively assess the environmental, economic and social sustainability, eleven indicators with different dimensions are quantified and aggregated into a general indicator of sustainability (GIS) based on fuzzy decision making methods, such as fuzzy analytic hierarchy processing and fuzzy comprehensive evaluation. The developed GIS is able to provide numerical results of sustainability for a renewable energy system. A case of a renewable energy system in Australia are presented to explain the application of the sustainability indicator. In terms of the four different combinations of grid, solar PV and wind renewable energy, the developed GIS is used to assess their sustainability.

scholarly journals Multi-Attribute Decision-Making Approach for a Cost-Effective and Sustainable Energy System Considering Weight Assignment Analysis

2021 ◽  
Vol 13 (10) ◽  
pp. 5615
Author(s):  
Keifa Vamba Konneh ◽  
Hasan Masrur ◽  
Mohammad Lutfi Othman ◽  
Hiroshi Takahashi ◽  
Narayanan Krishna ◽  
...  
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Energy System ◽  
Assessment System ◽  
Sensitivity Analyses ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Weight Assignment ◽  
Multi Attribute Decision Making ◽  
Hybrid Renewable Energy

The need for inexpensive and sustainable electricity has become an exciting adventure due to the recent rise in the local population and the number of visitors visiting the Banana Islands. Banana Islands is a grid-isolated environment with abundant renewable energy, establishing a hybrid renewable energy-based power system may be a viable solution to the high cost of diesel fuel. This paper describes a dual-flow optimization method for electrifying the Banana Islands, a remote island in Sierra Leone. The study weighs the pros and cons of maintaining the current diesel-based power setup versus introducing a hybrid renewable energy system that takes backup component analysis into account. Hybrid Optimization of Multiple Energy Resources (HOMER) software is used in the first optimization to optimally design the various system configurations based on techno-economic and environmental characteristics. A Multi-Attribute Decision-Making (MADM) Model that takes into account in the second optimization, the Combinative Distance-based Assessment System (CODAS) algorithm, and various methods of assigning weights to the attributes is used to rank the best configuration. The results show that the hybrid renewable energy system is a better option for electrifying the Banana Islands than the current stand-alone system. The Analytical Hierarchy Process (AHP) method of weight assignment was found to be superior to the Entropy method. Biogas generator-assisted hybrid configurations outperformed diesel generator-assisted hybrid configurations. With an optimum design of 101 kW PV, 1 wind turbine, 50 kW biogas, 86 batteries, and a 37.8 kW converter, the PV-wind-biogas-battery system is rated as the best configuration. It has a net present cost (NPC) of $487,247, a cost of energy (COE) of $0.211/kWh, and CO2 emission of 17.5 kg/year. Sensitivity analyses reveal that changes in the rate of inflation and the cost of storage have a significant effect on the overall cost of the configuration.

scholarly journals Multi-Period Multi-Criteria Decision Making under Uncertainty: A Renewable Energy Transition Case from Germany

2021 ◽  
Vol 13 (11) ◽  
pp. 6300
Author(s):  
Tobias Witt ◽  
Matthias Klumpp
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Energy Transition ◽  
Energy System ◽  
Scenario Planning ◽  
Energy Sector ◽  
Preference Ranking ◽  
Multi Criteria Decision Making ◽  
Deep Uncertainty

Methods of multi-criteria decision making (MCDM) from operations research have been applied to provide information for making long-term decisions in the energy sector, and energy policy. For example, in sustainability evaluations, multiple conflicting criteria can be considered. While most MCDM approaches have been applied to evaluate energy systems in a single period, the multi-criteria evaluation of energy system evolution over time has received less attention. To evaluate such transition paths, multi-period MCDM approaches can be used. Because of long-term planning horizons, deep uncertainties need to be considered. Based on prior multi-period MCDM approaches, this paper provides an extension of the outranking approach preference ranking and organization method for enrichment evaluations (PROMETHEE) for multi-period evaluations in deep uncertainty settings. In order to adequately address the consideration of uncertainties and to obtain an additional level of information, a multi-period PROMETHEE approach and scenario planning are combined. In an illustrative example, this method is applied to a case study from the German energy sector regarding a renewable energy transition. This highlights the potential interactions of a multi-period perspective and the consideration of external scenarios in the decision-making process.

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