Performance analysis of a reservoir in arid region Case study: Babar reservoir, Aurès region, Algeria

• Autorzy: Tebbi F. Z. , Dridi H. , Kalla M.

Identyfikatory

DOI

10.2478/jwld-2018-0069

Warianty tytułu

PL

Analiza działania zbiornika w regionie o suchym klimacie na przykładzie zbiornika Babar w regionie Aurès w Algierii

• Języki publikacji: EN

Abstrakty

EN

Long term and mid-term reservoir operation involves derivation of rule curves for optimal management of the available resource. The present work deals with reservoir operation in the Aurès arid region. As an example, Babar reservoir is selected to apply the proposed approach which estimates all the water balance terms, especially those which are random as water inflows. For each demand scenario a reservoir operation optimization model using Explicit Stochastic Dynamic Programming (ESDP) is performed, to derive optimal rule curves based on historical operating records (Jan 2002–Dec 2013) and using “Reservoir” R package®. Subsequently, risk analysis is conducted for these different demand scenarios rules by the RRV (reliability, resilience, vulnerability) metrics. Results show the advantage of using the “Reservoir” R package for a rapid and an easy analysis of the performance criteria jointly with the optimization algorithm to Re-operate Reservoir operation.

PL

Długo- i średnioterminowe działanie zbiornika obejmuje ustalenie reguł operacyjnych do optymalnego zarządzania dostępnymi zasobami. Przedstawiona praca dotyczy działania zbiornika w regionie Aurès znajdującym się na obszarze suchego klimatu. Jako przykład wybrano zbiornik Babar celem zastosowania proponowanego podejścia, w którym ustala się wszystkie warunki bilansowania wody, w tym czynniki losowe, np. dopływ wody. Dla każdego scenariusza zapotrzebowania na wodę opracowano dla zbiornika model optymalizacyjny z zastosowaniem stochastycznego programowania dynamicznego (ESDP), bazującego na historycznych zapisach operacyjnych z okresu styczeń 2002–grudzień 2013 i na pakiecie „Reservoir” programu statystycznego R. Następnie przeprowadzono analizę ryzyka dla różnych scenariuszy za pomocą miar RRV (wiarygodność, odporność, podatność). Wyniki wskazują na korzyści płynące z użycia pakietu „Reservoir” do szybkiej i łatwej analizy kryteriów operacyjnych w powiązaniu z algorytmem optymalizacyjnym.

Słowa kluczowe

EN

arid region; Babar reservoir; Explicit Stochastic Dynamic Programming (ESDP); optimization; performance; reservoir; risk; RRV (reliability, resilience, vulnerability)

PL

Babar; działanie; optymalizacja; RRV (wiarygodność, odporność, podatność); ryzyko; stochastyczne programowanie dynamiczne (ESDP); zbiornik

• Wydawca: Wydawnictwo ITP
• Czasopismo: Journal of Water and Land Development
• Rocznik: 2018
• Tom: no. 39
• Strony: 141--146
• Opis fizyczny: Bibliogr. 22 poz., rys.

Twórcy

autor

Tebbi F. Z.

• Natural Hazards and Territory Planning Laboratory, Earth Sciences and Universe Institute, Mostefa Benboulaid Batna 2 University, Fesdis, 05000 Batna, Algeria

autor

Dridi H.

• Natural Hazards and Territory Planning Laboratory, Earth Sciences and Universe Institute, Mostefa Benboulaid Batna 2 University, Fesdis, Algeria

autor

Kalla M.

• Natural Hazards and Territory Planning Laboratory, Earth Sciences and Universe Institute, Mostefa Benboulaid Batna 2 University, Fesdis, Algeria

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