While the central government of China established its "dual carbon" goals, transformation of energy structure has become key component of the country's energy revolution and economic reform. Installment of the "Source-Grid-Load-Storage" (SGLS) systems is crucial for implementation of the ESG goals in domestic oilfields and uplifting of the economic efficiency for oil production. The SGLS system is a micro power grid capable of dispatching power among multiple equipment in the most efficient way but to consider multi factors including power generation, power storage, and electrical load. However, the randomness and intermittency of renewable energy power generation imposes significant challenges to the SGLS systems control, making it difficult to assess the economic benefits and therefore being undervalued by oil companies for its potential ESG benefits.To promote SGLS systems to be applied in the oilfields, this paper proposes a model to assess economic benefits of the SGLS system. Based on real data generated by sample Oilfield, an operation model designed for the SGLS system is established to access the optimal cost structure. Factors that have been built into the model include the main grid purchasing cost, dissipation cost during power transport, photovoltaic power generation cost, and energy storage cost. By calculating the optimal cost structure with the mentioned multi factors built in, the model can predict operational outcome of the SGLS system in real-time and guide on the power dispatching. Meanwhile, the model is trying to maintain the minimum requirement of energy reserve. Based on scenario testing, the economic benefits of SGLS system in oilfield production are assessed with an optimized cost approach, therefore a valuable reference for the oil industry. This research also conducted interviews with key people in the oil industry and proposes strategies to improve the economic benefits of SGLS systems in Oilfield based on takeaways from those interviews. This could be value-adding to accelerate construction of SGLS systems and its application in the oilfields. Meanwhile, the SGLS operational model designed in this paper as a power generation solution is innovative to the energy industry and with obvious economic benefits. Therefore, it could also be an enabler of the oil industry’s sustainable development in the long run.

Currently, supply chain finance takes various forms such as factoring, pledge financing, and commercial acceptance bills. It has evolved from being predominantly led by commercial banks to spontaneously emerging within the physical industrial chains. It has also gradually integrated innovations in financial technology, resulting in a flourishing landscape. It is foreseeable that in China, where indirect financing and debt financing are currently mainstream and there are numerous manufacturing enterprises, supply chain finance will gradually replace the traditional credit model that relies primarily on the creditworthiness of the borrowing entity. This study focuses on supply chain finance within China's manufacturing industry clusters, examining its role in supporting small and medium-sized enterprises (SMEs) and the real economy. Currently, supply chain finance in China is diversified, encompassing products like factoring, inventory financing, and commercial acceptance bills. This research takes the supply chain of a Fortune Global 500 manufacturing company as a case study, analyzing transaction and supply chain finance data from hundreds of companies. The focus is on assessing the impact of supply chain finance products on transaction prices, stability for SMEs, and the cost implications for core enterprises. It also explores who ultimately bears the cost of supply chain finance and how it is transmitted along the supply chain. Through in-depth analysis, the study reveals the potential benefits of supply chain finance in promoting industry chain synergy, reducing transaction costs, and enhancing transaction efficiency. It is observed that while supply chain finance provides liquidity benefits for SMEs, it also significantly impacts the cost structure and competitiveness of core enterprises. The study also notes that in China's financial system, where commercial banks dominate, insensitivity to commodity transactions and prices may limit the depth of integration and effectiveness of supply chain finance. In summary, this research not only provides empirical support for supply chain finance within manufacturing industry clusters but also offers insights for commercial banks and policymakers on optimizing financial products and strategies.