Iran Energy Association (IEA) Journal of Energy Management and Technology 2588-3372 3 3 2019 09 01 Multi-Objective Economic and Emission Scheduling of Smart Apartment Building 41 53 85877 10.22109/jemt.2019.147108.1118 EN Afshin Najafi-Ghalelou University of Tabriz, Tabriz, Iran 0000-0001-6577-2712 Kazem Zare Faculty of Electrical and Computer Engineering, University of Tabriz 0000-0003-4729-1741 Sayyad Nojavan Department of Electrical Engineering, University of Bonab, Bonab, Iran 0000-0003-4110-2866 Journal Article 2018 09 01 In recent years, simultaneous optimization of two conflicted objective functions become an important topic in power system. In this paper, a multi-objective mixed-integer linear programming (MILP) based model is provided for economic-environmental scheduling of a smart apartment building. The first objective function is the operation cost of the building’s minimization. The minimization of the CO2 emission is considered as the second objective function. The proposed multi-objective problem is solved using the weighted sum approach and the ɛ-constraint method. Then, min-max fuzzy satisfying approach is carried out to select the ideal win-win strategy from the obtained efficient results. The proposed MILP-based sample model is solved using General Algebraic Modeling System (GAMS) under CPLEX solver. Also, two scenarios, weighted sum approach and ɛ-constraint method scenarios, are used to analyse the efficiency of the proposed sample model. By comparing the obtained results, it can be concluded that with considering the ɛ-constraint approach, total operation cost of the building is reduced 24.78% by optimizing the model from economical perspectives. On the other hand, solving the proposed model from environmental perspectives led to a decline of 6.96% in CO2 emission. Also, the weighted sum approach shows a reduction of 25.11% and 10.73% as a result from economic and environmental points of view, respectively. https://www.jemat.org/article_85877_c4eb23ceadef37ed6854c9fef2a8014b.pdf