Optimizing renewable energy portfolios under uncertainty: A multi-segment fuzzy goal programming approach

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F18%3A10241317" target="_blank" >RIV/61989100:27510/18:10241317 - isvavai.cz</a>

Výsledek na webu

<a href="https://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=D3cXtwXy4ryu5fd1Pmw&page=1&doc=8" target="_blank" >https://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=D3cXtwXy4ryu5fd1Pmw&page=1&doc=8</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.renene.2018.06.013" target="_blank" >10.1016/j.renene.2018.06.013</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Optimizing renewable energy portfolios under uncertainty: A multi-segment fuzzy goal programming approach

Popis výsledku v původním jazyce

Selecting a renewable energy source portfolio is an uncertain multi-criteria decision-making (MCDM) problem. In particular, it involves searching for the best portfolio of renewable energy that meets the decision maker&apos;s preferences by considering and leveraging conflicting criteria such as technical, environmental, societal, and economic. To tackle such complex problems, this paper proposes an efficient method, called multi-segment fuzzy goal programming (MS-FGP), which addresses decision-making problems with high levels of uncertainty. The paper makes the following contributions: i) extends the conventional fuzzy goal programming (FGP) model to solve a wide range of uncertainties decision making problems and ii) proposes a method based on a recent development in the FGP area that considers all types of fuzzy goals in real-world problems. The model is validated by applying it to a real world scenario: optimizing the renewable portfolio for electricity generation in Italy. These renewables are solar photovoltaic (PV), wind, biomass, and tidal currents. The results show that the proposed methodology can assist decision makers in determining the most sustainable renewable energy source portfolio for electricity generation under uncertain conditions and in imprecise environments. (C) 2018 Elsevier Ltd. All rights reserved.

Název v anglickém jazyce

Optimizing renewable energy portfolios under uncertainty: A multi-segment fuzzy goal programming approach

Popis výsledku anglicky

Selecting a renewable energy source portfolio is an uncertain multi-criteria decision-making (MCDM) problem. In particular, it involves searching for the best portfolio of renewable energy that meets the decision maker&apos;s preferences by considering and leveraging conflicting criteria such as technical, environmental, societal, and economic. To tackle such complex problems, this paper proposes an efficient method, called multi-segment fuzzy goal programming (MS-FGP), which addresses decision-making problems with high levels of uncertainty. The paper makes the following contributions: i) extends the conventional fuzzy goal programming (FGP) model to solve a wide range of uncertainties decision making problems and ii) proposes a method based on a recent development in the FGP area that considers all types of fuzzy goals in real-world problems. The model is validated by applying it to a real world scenario: optimizing the renewable portfolio for electricity generation in Italy. These renewables are solar photovoltaic (PV), wind, biomass, and tidal currents. The results show that the proposed methodology can assist decision makers in determining the most sustainable renewable energy source portfolio for electricity generation under uncertain conditions and in imprecise environments. (C) 2018 Elsevier Ltd. All rights reserved.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50200 - Economics and Business

Projekt

<a href="/cs/project/GA17-19981S" target="_blank" >GA17-19981S: Finanční aplikace stochastického uspořádání</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Renewable Energy

ISSN

0960-1481

e-ISSN

—

Svazek periodika

129

Číslo periodika v rámci svazku

december

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

13

Strana od-do

540-552

Kód UT WoS článku

000439745700042

EID výsledku v databázi Scopus

2-s2.0-85049308990