Optimization Models for Emissions Management

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F18%3A10240734" target="_blank" >RIV/61989100:27510/18:10240734 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Optimization Models for Emissions Management

Popis výsledku v původním jazyce

Emissions trading within the European Trading System (EU ETS) is the main tool of the EU environmental policy. The objective of this system is to reduce greenhouse gases emissions released to the atmosphere by European companies. This book is focused on the system&apos;s impact on the participating companies. In particular, the ways how a company can reduce the costs and risk implied by emissions trading are explored. Stochastic programming and fuzzy optimization belong to the group of optimization methods, which allow involving risk and uncertainty in the models. Due to uncertain factors related with the EU ETS (e.g., prices of emission allowances) or a particular market with traded commodities (market demand), those mathematical methods are highly suitable to find the optimal policy of a company trading emission allowances. Namely, three stochastic optimization models and two fuzzy optimization models with various assumptions (number of time periods, type of uncertainty, way how to measure risk, etc.) are introduced.

Název v anglickém jazyce

Optimization Models for Emissions Management

Popis výsledku anglicky

Emissions trading within the European Trading System (EU ETS) is the main tool of the EU environmental policy. The objective of this system is to reduce greenhouse gases emissions released to the atmosphere by European companies. This book is focused on the system&apos;s impact on the participating companies. In particular, the ways how a company can reduce the costs and risk implied by emissions trading are explored. Stochastic programming and fuzzy optimization belong to the group of optimization methods, which allow involving risk and uncertainty in the models. Due to uncertain factors related with the EU ETS (e.g., prices of emission allowances) or a particular market with traded commodities (market demand), those mathematical methods are highly suitable to find the optimal policy of a company trading emission allowances. Namely, three stochastic optimization models and two fuzzy optimization models with various assumptions (number of time periods, type of uncertainty, way how to measure risk, etc.) are introduced.

Druh

B - Odborná kniha

CEP obor

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OECD FORD obor

10102 - Applied mathematics

Projekt

<a href="/cs/project/GA16-01298S" target="_blank" >GA16-01298S: Dynamické rozhodování ocelářského podniku obchodujícího s emisemi</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

ISBN

978-80-248-4193-9

Počet stran knihy

212

Název nakladatele

Faculty of Economics, Technical University of Ostrava

Místo vydání

Ostrava

Kód UT WoS knihy

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