Cancer related research has been traditionally focused on genetic aspects of cancer cells and it has largely neglected the influence of the interaction between cancer cells and their environmental factors on growth and progression of a solid tumor. However, experimental research has shown that both the formation and growth of a solid tumor should be investigated in a context called tumor microenvironment. Tumor microenvironment is a complex milieu consisting of cancer cells, vasculature, extracellular matrix, host tissue cells, immune cells. Moreover, numerous molecular species such as nutrients, growth factors, and metabolic waste of cancer cells also exist in the tumor microenvironment. With a tumor being considered as a complex system during the recent years, the significance of utilizing computational models in order to assess such a system and identify the parameters impacting it has become highlighted and several studies have been conducted in this field. One of the main advantages of computational models of tumor microenvironment with respect to their experimental (animal and in vitro) counterparts is their ability to conduct several investigations on various parameters with more ease and markedly less cost and time expenditure. In the current study, a computational model has been used to simulate the growth of a tumor in a thirty-day period. The model includes microenvironmental factors, e.g. cancer cells, extracellular matrix, vasculature, and four chemicals. The current model has been used to investigate the impact of cancer cells abnormal metabolism (i.e. the Warburg Effect) and environmental acidity on various aspects of tumor growth. Moreover, the model has been used to predict the outcome of a therapeutic outcome called buffer therapy and its impact on tumor growth and progression. The results indicate that the tumor could utilize the Warburg Effect to grow and propagate without the need to instigate angiogenesis. Furthermore, the Warburg tends to change the tumor shape into more invasive morphologies in general. Also, the results show that the buffer therapy could be utilized to limit tumor access to nutrients. The results obtained here could encourage the conduction of experimental tests for assessing the validity of the computational model predictions and thus enhance the systematic understanding of phenomena impacting tumor growth. Keywords: Computational modeling, Solid tumor, Warburg Effect, Tumor acidity, Buffer therapy