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Browsing by Author "Muneer, Wajid"

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    Large-Scale Solar PV Investment Models, Tools, and Analysis: The Ontario Case
    (Institute of Electrical and Electronics Engineers (IEEE), 2011-05-27) Muneer, Wajid; Bhattacharya, Kankar; Canizares, Claudio A.
    In this paper, an optimization model and techniques to facilitate a prospective investor to arrive at an optimal plan for investment in large-scale solar photovoltaic (PV) generation projects are proposed and discussed. The optimal set of decisions includes the location, sizing, and time of investment that yields the highest profit. The mathematical model considers various relevant issues associated with PV projects such as location-specific solar radiation levels, detailed investment costs representation, and an approximate representation of the transmission system. A detailed case study considering the investment in PV projects in Ontario, Canada, is presented and discussed, demonstrating the practical application and usefulness of the proposed methodology and tools.
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    Sensitivity-Indices-Based Risk Assessment of Large-Scale Solar PV Investment Projects
    (Institute of Electrical and Electronics Engineers (IEEE), 2013-12-13) Das, Indrajit; Bhattacharya, Kankar; Canizares, Claudio; Muneer, Wajid
    Large-scale solar photovoltaic (PV) generation is now a viable, economically feasible and clean energy supply option. Incentive schemes, such as the Feed-in-Tariff (FIT) in Ontario, have attracted large-scale investments in solar PV generation. In a previous work, the authors presented an investor-oriented planning model for optimum selection of solar PV investment decisions. In this paper, a method for determining the sensitivity indices, based on the application of duality theory on the Karush–Kuhn–Tucker (KKT) optimality conditions, pertaining to the solar PV investment model is presented. The sensitivity of the investors' profit to various parameters, for a case study in Ontario, Canada are presented and discussed and these are found to be very close to those obtained using the Monte Carlo simulation and finite-difference (individual parameter perturbation) based approaches. Furthermore, a novel relationship is proposed between the sensitivity indices and the investor's profit for a given confidence level to evaluate the risk for an investor in solar PV projects.