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Industrial Load Management
Ashok S., Ph.D, 02
Supervisor(s): Rangan Banerjee

Industrial load management (ILM) can reduce the gap between increasing electricity demand and generating capacity in developing countries. The literature review reveals the absence of generic load models that could be used to determine the optimal industry response for different ILM options. This study aims at developing load models for the investigation of ILM strategies with illustrative case studies. The industrial loads are classified based on the controllability, as continuous and batch process loads and cooling loads. Generalised models coupled with optimisation framework are developed for continuous and batch process loads to minimise the total operating cost for different electricity tariffs subject to process, storage and equipment constraints. Load management options like load scheduling, changing the operating strategy from 2 to 3 shifts, varying the storage capacity are illustrated with case studies of flour mill, mini steel plant and water pumping station. The optimal response under time of use tariff shows the potential of ILM in reducing the peak system coincident demand. The formulation developed for cooling loads with cool storage strategy is analysed under different electricity tariff rates. Case studies of a commercial building and an industrial building are done to determine the optimal cool storage and corresponding peak demand saving. The industrial cogeneration model proposed incorporates the transition costs and non-linear characteristics of the equipment and finds the solution for multiple time periods. It can be used to determine the optimal operating strategy for any equipment configuration for a given electricity tariff and fuel option. The case study of the petrochemical complex reveals the capability of cogeneration in peak coincident demand reduction. An algorithm is developed for industrial power pooling - a method to use the captive power for peak load management and illustrated with the case study of 3 industries in an industrial belt. An algorithm, which gives the sequence and methodology of applying the individual load models developed, is proposed to integrate the load management programmes in industries. The present work has developed the tools and techniques for industrial load management that will enable the industries to determine the optimal response. Utilities can also use the models to find the peak demand reduction impact under different electricity tariff structures for the industrial sector.