This paper presents a coarse-grained (CG) model for semiquantitative lipid simulations. The model is designed to be computationally efficient, with short-range interactions and a simplified force field that allows for accurate predictions of lipid behavior. The model is validated against experimental data for various lipid systems, including alkanes, water, and phospholipids such as dipalmitoylphosphatidylcholine (DPPC). The CG model successfully reproduces the densities of liquid alkanes from decane to eicosane within 5%, and the mutual solubilities of alkanes in water and water in alkanes within 0.5 kT of experimental values. The model also accurately predicts structural properties such as the area per headgroup and phosphate-phosphate distance, as well as elastic properties like the bending modulus and area compressibility, and dynamic properties such as lipid lateral diffusion and water permeation rates. The CG model is applied to nonbilayer phases, such as dodecylphosphocholine (DPC) and 1,2-dioleoyl-sn-glycero-3-phosphoethanolamine (DOPE), showing that DPC aggregates into small micelles and DOPE forms an inverted hexagonal phase with structural parameters matching experimental data. The model is also used to study the phase behavior of lipid and surfactant solutions, including the formation of micelles, lamellar, hexagonal, and cubic phases. The CG model is shown to be versatile and accurate, with the ability to model a wide range of lipid systems, including those with different headgroups and tail lengths. The model is also used to study the thermal phase transition of DPPC from a liquid-crystalline to a crystalline phase, showing that the area per headgroup in the crystalline phase is 0.47 nm². The CG model is validated against experimental data for various lipid systems, showing that it can accurately predict structural, elastic, and dynamic properties of lipid systems. The model is also used to study the permeation of water across lipid bilayers, showing that the permeation rate is in agreement with experimental measurements. The CG model is a valuable tool for studying lipid systems, providing a balance between computational efficiency and accuracy.This paper presents a coarse-grained (CG) model for semiquantitative lipid simulations. The model is designed to be computationally efficient, with short-range interactions and a simplified force field that allows for accurate predictions of lipid behavior. The model is validated against experimental data for various lipid systems, including alkanes, water, and phospholipids such as dipalmitoylphosphatidylcholine (DPPC). The CG model successfully reproduces the densities of liquid alkanes from decane to eicosane within 5%, and the mutual solubilities of alkanes in water and water in alkanes within 0.5 kT of experimental values. The model also accurately predicts structural properties such as the area per headgroup and phosphate-phosphate distance, as well as elastic properties like the bending modulus and area compressibility, and dynamic properties such as lipid lateral diffusion and water permeation rates. The CG model is applied to nonbilayer phases, such as dodecylphosphocholine (DPC) and 1,2-dioleoyl-sn-glycero-3-phosphoethanolamine (DOPE), showing that DPC aggregates into small micelles and DOPE forms an inverted hexagonal phase with structural parameters matching experimental data. The model is also used to study the phase behavior of lipid and surfactant solutions, including the formation of micelles, lamellar, hexagonal, and cubic phases. The CG model is shown to be versatile and accurate, with the ability to model a wide range of lipid systems, including those with different headgroups and tail lengths. The model is also used to study the thermal phase transition of DPPC from a liquid-crystalline to a crystalline phase, showing that the area per headgroup in the crystalline phase is 0.47 nm². The CG model is validated against experimental data for various lipid systems, showing that it can accurately predict structural, elastic, and dynamic properties of lipid systems. The model is also used to study the permeation of water across lipid bilayers, showing that the permeation rate is in agreement with experimental measurements. The CG model is a valuable tool for studying lipid systems, providing a balance between computational efficiency and accuracy.