Heating hub and power hub models for optimal performance of an industrial consumer

•Multi-objective framework is proposed for large industrial consumer.•Weighted sum method is used to solve the proposed multi-objective model.•Fuzzy satisfying technique is used to select the trade-off solution.•Demand response program is employed to reduce cost and emission of large consumer. In addition to economic objectives that has always been considered to be the first priority in the scheduling and planning of power systems, concerns over emission of greenhouse gases due to energy consumption of industrial consumers have made policy makers consider environmental issues in the scheduling of such systems. In this paper, a multi-objective framework has been proposed for environmental and economic performance of large consumer in the presence of demand response program (DRP). In order to solve proposed multi-objective model, weighted sum technique is employed and trade-off solution satisfying conflicting objective functions is selected using fuzzy satisfying approach. DRP is employed to shift load from peak periods to off-peak periods to reduce total operation cost and emission. In order to model the proposed problem, a mixed-integer linear program has been employed and GAMS software has been utilized to solve it. Different case studies have been studied and the results have been presented to validate the effectiveness of proposed methods.