Microgrids are used prevalently in isolated sites as a solution for multiple resource usage and distributed energy generation. Industrial Zones are constructed as isolated sites, where expectations include reducing the energy costs, providing local energy supply with fewer fluctuations and reducing greenhouse gas emissions. To encourage the microgrids in a developing country of Small and Medium-sized Enterprises (SMEs) placed in industrial zones, pre-investment studies are to be run. This article aims at minimizing the total energy costs of an organized industrial zone in parallel with mitigation of emission for climate change. The costs depend on the number and power of the Wind Turbines (WT) and the capacity of Photovoltaic (PV) panels when renewable energy sources and power storage construct the resources. A Mixed Integer Nonlinear Programming (MINLP) model is proposed to optimize the number of installations to satisfy the current demand. Lifelong carbon emission and cost analysis are performed to minimize the total cost of ownership. In this initial study, uncertainties caused by the renewable energy supply are smoothed by limited use of one gas tribune and grid connection. A case study of the model is implemented for Gebze Industrial Zone. This project will contribute to the researches on microgrids for a long term optimization model.