With growing research interest in renewable energy generation and storage technologies, a need arises for a framework integrating renewable energy within the process industry. In this study, the multi-energy hub approach was used to develop a model to achieve economic gains and carbon emissions reduction. Furthermore, a case study on a refinery was carried out to investigate the applicability of the proposed model. Lowest carbon emissions were realized when utilizing wind coupled with concentrated solar power technologies for electricity and heat generation, respectively. This configuration, for the particular refinery case study, mitigated about 9.8 ktonnes carbon dioxide emissions at an additional annual cost of about $88,000, as compared to the assumed case of utilizing grid energy. Whilst considering energy storage, a further reduction of 1.94 ktonnes of carbon emissions can be attained by employing 9.8 MWh of thermal energy storage, at an added annual cost of $275,000. Moreover, different scenarios were investigated to study the impact of schemes such as carbon cap-and-trade and carbon capture and storage on economic costs and carbon dioxide emissions. Under the carbon cap-and-trade scenario, the lowest annual cost while minimizing annual carbon dioxide emissions was realized when a high carbon credit value of $ 0.00014 gCO₂⁻¹ was utilized. A Pareto front was generated, outlining the optimal cost and carbon emissions when employing different configurations and storage technologies.

随着对可再生能源发电和存储技术的研究兴趣不断增长，需要一种在过程工业中整合可再生能源的框架。在这项研究中，多能源枢纽方法被用来开发一个模型，以实现经济收益和减少碳排放。此外，还对炼油厂进行了案例研究，以研究该模型的适用性。当分别利用风能和集中太阳能技术发电和发电时，碳排放量最低。与假设的利用电网能源的情况相比，这种配置（针对特定的炼油厂案例研究）减少了约9.8吨二氧化碳的排放，每年额外增加了约$ 88,000的成本。在考虑储能的同时，进一步降低了1。通过使用9.8 MWh的热能存储，可以实现94吨的碳排放，每年增加的成本为275,000美元。此外，还研究了不同的情景，以研究诸如碳限额和贸易以及碳捕集与封存等计划对经济成本和二氧化碳排放量的影响。在碳限额交易的情况下，当高碳信用额为0.00014 gCO时，实现了最低年度成本同时将年度二氧化碳排放量降至最低利用了₂ ^-1。生成了帕累托曲线，概述了采用不同配置和存储技术时的最佳成本和碳排放量。