Abstract: The evaluation and certification of green electricity consumption are critical in the construction of the green electricity market. Currently, there is a lack of effective technical verification methods for evaluating and certifying green electricity consumption. Moreover, the evaluation process faces technical challenges regarding privacy protection of green electricity consumption data. An evaluation and certification model of green electricity consumption based on privacy computing is proposed.First, a novel homomorphic encryption method is devised to support the privacy protection of multiple parties involved in evaluation of green electricity consumption. In contrast to traditional homomorphic encryption algorithms, this method demonstrates higher efficiency in the encryption and decryption processes, and the procedure of encryption and decryption can be segmented while maintaining full homomorphism. Then, a collaborative privacy computing model of homomorphic encryption and trusted execution environment（TEE） is proposed to solve the problem that the traditional homomorphic encryption algorithm can not support the nonlinear operation in ciphertext, and the calculation and storage cost are high. Finally, based on the verifiability mechanism of the computing process of TEE and the tamper-proof characteristics of blockchain certificate data, a reliability assurance mechanism of green electricity consumption evaluation results is established. Theoretical and experimental results demonstrate that the proposed scheme can efficiently compute the evaluation data involving privacy protection for green electricity consumption, which takes approximately 0.114 seconds to complete the green electricity consumption evaluation of privacy protection for 10 000 consumers.