Multi-criteria decision support: A case study of Southeast Europe power systems

Franki, Vladimir; Višković, Alfredo

doi:10.1016/j.jup.2021.101286

Cited by 12 publications

(15 citation statements)

References 96 publications

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“…Deployment of RES has to consider factors beyond techno-economic ones to ensure their successful implementation. Sustainable development has three key aspects: social, ecological, and economic [102], while three key energy sector requirements are sustainability (environmental impact), reliability (self-reliance), and affordability [102]. Any successful transition will look to be compatible with these conditions.…”

Section: Discussionmentioning

confidence: 99%

“…As already outlined, the research in this paper aims to establish a step-by-step method to determine the optimal transition to a zero-carbon urban energy system. For this reason, a probabilistic model for decision-making based on a multi-criteria approach is developed [102]. Decarbonisation pathways are evaluated by monitoring several key indicators.…”

Section: Methodsmentioning

confidence: 99%

“…The integration of RES is explored [98], as well as the evaluation of hybrid renewable energy systems (HRESs) [99]. DSSs are also a popular topic in the field of energy policy [100,101] and development strategies [102].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Due to space limitations, only essential data used in the market analysis are revealed. A more extensive view on some of the aspects of the database can be found in our previously published work [102,111].…”

Section: Optimisation Modelmentioning

confidence: 99%

“…The optimisation process carries out an optimal coordinated scheduling of the thermal and hydro generation portfolios of the power system during the course of a year with an hourly discretisation. It does so by solving a quadratic programming optimisation problem where the objective function to be minimised is the overall production cost of energy [102]. The process needs to consider all technical constraints of the system and create a dispatching schedule based on hourly load profiles.…”

Section: Optimisation Modelmentioning

confidence: 99%

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City-Level Transition to Low-Carbon Economy

2022

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In recent years climate change has emerged as a global issue directly related to quality of life. In this context, one of the key goals in the next few decades will be to transition the global economy to a sustainable system. The nature of the energy planning process dictates the application of complex models. There is no universal solution to the energy planning problem. Each territory requires a bespoke strategy aimed at utilising its specific potential. The research presented in this paper explores reaching a zero-carbon energy system at the city level. It establishes a step-by-step decarbonisation method and proposes an energy transition index (ETI). The index presented is used to evaluate different renewable energy sources (RES) deployment scenarios in the context of affordability, self-reliance, and sustainability. The main aspects and barriers of deploying sustainable energy solutions are also explored. Some of the key challenges of RES deployment are identified as capital intensity, output variability, and the regulatory framework. The approach applied in the paper focuses on a city-level strategy in line with the goal of satisfying demand through local energy sources. The presented analysis offers two basic conclusions: (1) each territory requires a bespoke strategy that can optimally utilise its energy potential and (2) building a local zero-carbon system can be feasible only by implementing energy storage technologies.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Optimisation Modelmentioning

confidence: 99%

Section: Optimisation Modelmentioning

confidence: 99%

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City-Level Transition to Low-Carbon Economy

2022

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Projecting short to medium-term effects of carbon emissions trading on Serbia's GDP

Pavlović,

Trtica

2024

Utilities Policy

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Evaluation and analysis of regional economic–technology–renewable energy coupling coordinated development: A case study of China

Dong

Xia

2023

Journal of Renewable and Sustainable Energy

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Facing the problem of energy shortage and the responsibility of carbon reduction, to achieve sustainable regional economic development, renewable energy must be vigorously developed. Technology can not only boost the development of renewable energy but be a new driving force for the economy. However, the development of the economy, technology, and renewable energy are interrelated, and the coupling and coordination among them lack sufficient evaluation and analysis. Therefore, an evaluation index system is constructed for the economy–technology–renewable energy ternary group. The evaluation model is applied to measure the coupling coordination degree, and a geographically weighted regression model is used to analyze the influence of key factors and their spatial differences. 30 provinces in China are used as examples for the study, and the results show that the coupling coordination degree is low in most regions, except for Guangdong, which has been maintained at an extremely coordinated level, and most provinces are in a fluctuating upward trend during the decade. Additionally, the results of the geographically weighted regression report that the influence of factors has spatial heterogeneity. The study provides a basis for relevant policy formulation in China, and the evaluation and analysis ideas can provide a reference for other countries or regions.

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Multi-criteria decision support: A case study of Southeast Europe power systems

Cited by 12 publications

References 96 publications

City-Level Transition to Low-Carbon Economy

City-Level Transition to Low-Carbon Economy

Projecting short to medium-term effects of carbon emissions trading on Serbia's GDP

Evaluation and analysis of regional economic–technology–renewable energy coupling coordinated development: A case study of China

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