Author
Tarannom Parhizkar
Other affiliations: University of California, Los Angeles, Sharif University of Technology
Bio: Tarannom Parhizkar is an academic researcher from Norwegian University of Science and Technology. The author has contributed to research in topics: Computer science & Probabilistic logic. The author has an hindex of 11, co-authored 27 publications receiving 260 citations. Previous affiliations of Tarannom Parhizkar include University of California, Los Angeles & Sharif University of Technology.
Papers
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TL;DR: In this paper, a degradation-based optimization framework is developed which determines optimum operating conditions to achieve a minimum cost of electricity in solid oxide fuel cell stacks for stationary power generation applications.
53 citations
TL;DR: A preprocessing method to remove noisy features is coupled with predication methods to improve the performance of the energy consumption prediction models and shows that the proposed method enables practitioners to efficiently acquire a smart dataset from any big dataset for energy consumption predictions problems.
37 citations
TL;DR: A new dynamic probabilistic risk assessment methodology is proposed that employs a new exploration strategy to generate risky scenarios and is used to perform risk assessment of a Space Shuttle ascent phase.
33 citations
TL;DR: A framework for the risk management of DP operation is proposed to support the decision-making process of the operators with providing failure probability of alternative decision scenarios, and it can be applied to any other engineering system and operation.
33 citations
TL;DR: In this article, a comprehensive thermodynamic model and degradation-based optimization framework for energy management of anode supported solid oxide fuel cell (SOFC) stacks are carried out, which determines optimum operating conditions to maximize system productivity (energy generation over system lifetime) considering degradation mechanisms.
32 citations
Cited by
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TL;DR: In this article, a literature survey of the application of SOFC in particular the optimization strategies are reviewed in detail based on five features, which are the decision variable, objective analysis, constraint, method and tools.
Abstract: Solid Oxide Fuel Cells (SOFCs) have become the promising energy source for stationary and portable applications. The design of SOFCs including its structure and its operation are an important part to be properly optimized in order to achieve the best performance. The topic on optimization of SOFC has gained tremendous attention recently in line with the growing applications of fuel cell. This paper involves a literature survey of the application of SOFC in particular the optimization strategies. The strategies are reviewed in detail based on five features, which are the decision variable, objective analysis, constraint, method and tools. The future trends of research related to the optimization for SOFC are also discussed to provide better insight for future research work in this area.
196 citations
TL;DR: In this paper, the potential, achievements, and associated challenges of ammonia for power generation, with a particular focus on ammonia fuelled solid oxide fuel cells (SOFCs), are examined, and a rational design of catalyst in terms of preparation method, support and promoter is needed to carve out a catalyst that is commercially reliable and affordable.
161 citations
TL;DR: In this paper, the strengths and weaknesses of China's electric vehicle technologies and industry are assessed, and competitive and feasible quantitative goals for key components and powertrains are proposed by the authors.
140 citations
TL;DR: In this article, a weather-centered opportunistic maintenance policy is developed to enable a flexible maintenance resource allocation, and the net revenue of wind turbines is evaluated using the performance-based contracting (PBC).
Abstract: Operations & maintenance (O&M) of wind turbines (both onshore and offshore) are heavily affected by weather conditions, particularly wind conditions. Current O&M models focused mainly on negative impacts of wind conditions on turbine reliability and maintenance, while ignoring potential maintenance opportunities emerging from dynamic wind velocities. This article addresses this issue by constructing a novel weather-centered O&M framework, integrating wind impacts on: (a) energy production, and (b) maintenance plans. Both the positive (maintenance opportunities) and negative impacts (maintenance delays) of wind conditions are quantified in the framework. Accordingly, a weather-centered opportunistic maintenance policy is developed to enable a flexible maintenance resource allocation. The maintenance model is formulated, and analytical properties regarding optimal maintenance ages are discussed. Furthermore, the net revenue of wind turbines is evaluated using the performance-based contracting (PBC), which captures dynamics of both power generation and operational costs. Experimental results demonstrate the superior performance of our framework in revenue improvement, particularly when facing high failure risks and production losses.
88 citations
TL;DR: In this paper, an innovative robust prediction algorithm for performance degradation of proton exchange membrane fuel cell (PEMFC) is proposed based on a combination of model-based and data-driven prognostic method, in which a novel approach using the moving window method is applied, in order to train the developed models; update the weight factors of each method and further fuse the predicted results iteratively.
85 citations