Journées de l'optimisation 2014

                             Incluant une Journée industrielle de l'optimisation

                                              HEC Montréal, 5 - 7 mai 2014


HEC Montréal, 5 — 7 mai 2014

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TD2 Ressources naturelles et environnement / Natural Resources and Environment

6 mai 2014 15h30 – 17h10

Salle: CPA du Québec

Présidée par Angel Ruiz

4 présentations

  • 15h30 - 15h55

    Modelling Geoengineering: the Ada-BaHaMa Approach

    • Olivier Bahn, prés., HEC Montréal
    • Marc Chesney, Université de Zurich
    • Jonathan Gheyssens, Université de Zurich
    • Reto Knutti, ETH Zurich
    • Ana Pana, Université de Zurich

    We investigate geoengineering as a possible substitute for adaptation and mitigation to address climate change. With the help of Ada-BaHaMa, an integrated assessment model, we distinguish between the effects of solar radiation management (SRM) on atmospheric temperature levels and its side effects on ecosystems. To address the uncertainty regarding the magnitude of side effects, we rely on a distributional analysis. Our results indicate that mitigation is the preferred strategy, with adaptation acting as an effective complement. As SRM brings significant side effects, it is used in only a few of the analyzed scenarios. We then discuss additional concerns with SRM that further reduce its feasibility.

  • 15h55 - 16h20

    Forest Resource Value Maximization through a Sustainable Allocation to Forest Companies

    • Tasseda Boukherroub, prés., Université Laval
    • Angel Ruiz, Université Laval
    • Luc LeBel, Université Laval

    Given that forests are public owned in the province of Quebec; companies exploiting the forest resource are expected to process it in such a way that all economic, ecological, and social benefits are maximized. In this sense, a new forest policy law came into force in 2013 changing considerably how cutting rights are attributed to forest companies. Our research addresses the problem of allocating forests to companies in order to maximize the sustainable value. To this end, we propose a methodology that combines two decision-making techniques: AHP (Analytical Hierarchy Process) and linear programming (LP). AHP allows evaluating the performance of the candidate mills according to a set of economic, environmental, and social criteria. The scores obtained for each candidate are then used as inputs of the LP that maximizes the overall sustainability value of the allocated forest resource while the maximum allowable cut and the minimum guaranteed volumes are satisfied.

  • 16h20 - 16h45

    Location of Water Depots in Open-Pit Mine Networks

    • Juan-Pablo Riquelme-Rodriguez, prés., Polytechnique Montréal
    • Michel Gamache, Polytechnique Montréal
    • André Langevin, Polytechnique Montréal

    In open-pit mines, water is periodically sprayed over hauling roads by means of a set of trucks with limited capacity in order to suppress dust. The trucks refill at a water depot. We present a L-A-R (location, allocation, and routing) approach for locating water depots so that penalty costs for the lack of humidity in roads and routing costs are minimized.

  • 16h45 - 17h10

    Underground Mine Planning Considering Geological Uncertainty

    • Sabrina Carpentier, prés., Polytechnique Montréal
    • Roussos Dimitrakopoulos, COSMO Stochastic Mine Planning Laboratory, Université McGill

    A mathematical model to optimize underground mine long term scheduling is presented. It corresponds to a second phase of a deterministic planning: a stochastic aspect is added in order to integrate geological uncertainty. The mining project corresponds to five potential mines, each being composed of several mineralized zones shaped as lenses. The mathematical model aims to maximize net present value while reducing geological risks. The parameters are related to ore tonnage and average grade. In this stochastic approach, we used a grade tonnage curves for every simulation used. As outputs, we obtain the lenses to be mined, their cut-off grade, the starting time of their extraction and their production rate.