Deploying renewable energy (RE) technologies has been acknowledged as an effective way of mitigating the pressure from increasing energy-related carbon emissions. However, evidence shows that RE deployment frequently leads to the loss and degradation of multiple ecosystem services (ES). Therefore, a sustainable RE deployment scheme should proactively identify and manage the potential trade-offs between RE production and ES provisioning. This study proposed a practical RE siting framework that integrates ES considerations (named as IES framework), and formulated a novel method that integrates Geographic Information Systems, fuzzy Analytic Hierarchy Process and Weighted Slacks-based Measure to implement this framework. Then, the suitability of wind farm sites in coastal China was evaluated and mapped using the IES framework. Results show that the suitable locations for wind farms in this region were mainly distributed in the provinces of Shandong, Hebei, Liaoning, and Jiangsu. Avian habitat and cultural ES were identified as the two services most vulnerable to wind farm deployment. A suitability map of wind farm siting in coastal China was created. Results prove that the proposed IES framework and the corresponding integrated method can effectively evaluate the trade-offs between RE production and ES provisioning and can be easily extended to guide the site selection for other REs, such as biomass, photovoltaic, and hydroelectric energy.