Explored how different prompt engineering strategies impact both performance and energy consumption in LLM-based requirements classification. Used open-source models, CodeCarbon, and the PROMISE dataset to evaluate accuracy, emissions, and prompt efficiency. Built a reproducible pipeline to support sustainable NLP practices in software engineering.