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Multi-Scenario scheduling optimisation for a novel Double-Stage ammonia absorption refrigeration system incorporating an organic Rankine cycle

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F22%3APU146312" target="_blank" >RIV/00216305:26210/22:PU146312 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://www.sciencedirect.com/science/article/pii/S0196890422009505" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0196890422009505</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.enconman.2022.116170" target="_blank" >10.1016/j.enconman.2022.116170</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Multi-Scenario scheduling optimisation for a novel Double-Stage ammonia absorption refrigeration system incorporating an organic Rankine cycle

  • Popis výsledku v původním jazyce

    The coal chemical industry is facing severe challenges in energy conservation and emission reduction. High-value utilisation of waste heat is an effective method to solve the problem. However, the bottleneck is the utilisation of surplus low-grade waste heat full of uncertainty, challenging in its scale configuration and stable operation. This research firstly proposed a double-stage ammonia absorption refrigeration system incorporating an organic Rankine cycle. The proposed system can utilise waste heat as low as 52 degrees C to produce -40 degrees C cold energy. The lowest heat sink temperature in the refrigeration section could be 95 degrees C, with a coefficient of performance exceeding 0.30. With respect to waste heat fluctuation, a data-driven distributionally robust optimisation framework was proposed. By executing this method, multiple scenarios with similar data features could be generated. The uncertainty set was established in each scenario according to the probability density of the uncertain parameters. The uncertainty set was transformed into constraints of an adaptive genetic algorithm to create a balance between energy saving and operational stability. The proposed system and optimisation algorithm were then verified by a coal-to-SNG process. It was found that the unit cost of the waste heat refrigeration was 85% smaller than that of the original system and that the operational stability was improved to 97%. The waste heat utilisation for the whole process reduced the operating cost and carbon emission by 15% and 14%. Techno-economic analysis proved the feasibility of waste heat utilisation in economic performance, environmental protection and operational stability.

  • Název v anglickém jazyce

    Multi-Scenario scheduling optimisation for a novel Double-Stage ammonia absorption refrigeration system incorporating an organic Rankine cycle

  • Popis výsledku anglicky

    The coal chemical industry is facing severe challenges in energy conservation and emission reduction. High-value utilisation of waste heat is an effective method to solve the problem. However, the bottleneck is the utilisation of surplus low-grade waste heat full of uncertainty, challenging in its scale configuration and stable operation. This research firstly proposed a double-stage ammonia absorption refrigeration system incorporating an organic Rankine cycle. The proposed system can utilise waste heat as low as 52 degrees C to produce -40 degrees C cold energy. The lowest heat sink temperature in the refrigeration section could be 95 degrees C, with a coefficient of performance exceeding 0.30. With respect to waste heat fluctuation, a data-driven distributionally robust optimisation framework was proposed. By executing this method, multiple scenarios with similar data features could be generated. The uncertainty set was established in each scenario according to the probability density of the uncertain parameters. The uncertainty set was transformed into constraints of an adaptive genetic algorithm to create a balance between energy saving and operational stability. The proposed system and optimisation algorithm were then verified by a coal-to-SNG process. It was found that the unit cost of the waste heat refrigeration was 85% smaller than that of the original system and that the operational stability was improved to 97%. The waste heat utilisation for the whole process reduced the operating cost and carbon emission by 15% and 14%. Techno-economic analysis proved the feasibility of waste heat utilisation in economic performance, environmental protection and operational stability.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    20704 - Energy and fuels

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/EF15_003%2F0000456" target="_blank" >EF15_003/0000456: Laboratoř integrace procesů pro trvalou udržitelnost</a><br>

  • Návaznosti

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

Ostatní

  • Rok uplatnění

    2022

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    ENERGY CONVERSION AND MANAGEMENT

  • ISSN

    0196-8904

  • e-ISSN

    1879-2227

  • Svazek periodika

    neuveden

  • Číslo periodika v rámci svazku

    270

  • Stát vydavatele periodika

    GB - Spojené království Velké Británie a Severního Irska

  • Počet stran výsledku

    18

  • Strana od-do

    „“-„“

  • Kód UT WoS článku

    000870339700005

  • EID výsledku v databázi Scopus

    2-s2.0-85137307199