Gestion de la demande en puissance : Outil de planification et stratégies pour la production de bois d'oeuvre
|Advisor:||Gosselin, Louis; Lehoux, Nadia|
|Abstract:||The forestry industry is an economic sector that generates a lot of jobs in Quebec, Canada. In order to ensure the competitiveness and profitability of sawmills, many owners are therefore obliged to review their production systems. In addition, they are looking into new opportunities to generate profits like Hydro-Quebec's Demandresponse program (DR). It is in this perspective that this master project is integrated, whose aim is to find the best strategy at the level of profitability, for a typical Quebec sawmill, to participate in Hydro-Quebec’s DR program. To this end, a literature review was conducted to establish a state of the art on energy management systems in industry, on demand-response programs and on existing planning models in the lumber manufacturing industry. Then, the study of a real lumber production system and the information collection about the equipment electricity consumption and the workspace heating used were realized. This information was subsequently integrated into a tactical operations planning model. With such a model, it became possible to test different strategies to reduce the equipment power demand in case of DR event and measure the financial gains or the losses generated by the implementation of such strategies. More specifically, six strategies were tested. As a result of a comparative study based on the profitability of each strategy, it turned out that the best scenario allowed the sawmill profits to increase by almost 5% while offering a profit increase for a large number of DR hour (68 hours). All in all, the study found that, for a typical Quebec sawmill, the best strategy to put in place to participate in Hydro-Québec's DR program. It also helped develop a planning model for the lumber industry integrating the electrical energy facet and generates a general methodology for replicating the work done in the present research to other sectors.|
|Document Type:||Mémoire de maîtrise|
|Open Access Date:||12 November 2019|
|Collection:||Thèses et mémoires|
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