[SMM PV Flash] Modi Energy lança modelo residencial de energia solar com armazenamento sem entrada inicial na Dinamarca

As application scenarios such as industrial and commercial ESS, PV+ESS coordination, integration of PV, ESS and charging, distribution grid management, virtual power plants, electricity retailer management and microgrids continue to expand, the types of equipment within stations are increasing, communication protocols are becoming more complex, and the difficulty of equipment coordination keeps rising. At the same time, operational demands such as peak-valley price spread, demand control and grid interaction are growing, making it increasingly difficult for traditional management approaches that rely on manual configuration and a single strategy to balance system safety, operational efficiency and project returns. Against this backdrop, the EMS serves as the "control centre" of the entire station, coordinating PV, energy storage, charging facilities and campus loads, and executing strategies such as charge and discharge, reverse power prevention and demand control based on electricity prices, loads and transformer capacity. Currently, Risen Energy's Jindun EMS has been deployed in a large number of energy storage projects, enabling asset management of energy storage at scale. As the types of connected equipment, communication protocols and application scenarios continue to expand, project requirements for equipment adaptation, system scalability and intelligent O&M are also steadily increasing. Building on existing project experience, Risen Energy has launched its self-developed Jindun 3.0 EMS, integrating AI capabilities across local management and the Risen Cloud platform to drive station management from equipment control towards intelligent O&M and energy operations.

Recently, Fumin County, Kunming City, Yunnan Province, held the 2026 green energy industry chain investment matchmaking conference, where five green energy projects were signed on-site, with a total investment of 3.162 billion yuan, further promoting the extension, supplementation, expansion, and quality improvement of the county's green energy industry. The matchmaking conference focused on the upgrade and renovation of the Dafengyakou and Mayingshan wind farms, as well as key PV power generation projects at Baishiyan, Dongcun, Dayingshan, Maidishan, Xihe Village, and Shiqiao. At the conference, enterprises including GD Power Yunnan New Energy Development Co., Ltd., China Energy Engineering Group Investment Co., Ltd., Huaneng Xiongfei (Beijing) New Energy Co., Ltd., Yibin New Energy Industry Co., Ltd., and China Coal Green Energy Technology (Beijing) Co., Ltd. gave detailed introductions to their project plans, construction progress, and subsequent operational approaches. Functional departments and local towns (subdistricts) took proactive steps to address key and difficult issues such as project element guarantees, supporting facility improvements, and implementation progress, providing on-site answers and responses to effectively remove bottlenecks and obstacles in project construction, thereby safeguarding the high-quality implementation of industrial projects.

Segundo o veículo de comunicação malaio The Edge, o custo efetivo de acesso à rede no âmbito do Esquema de Fornecimento Corporativo de Energia Renovável (CRESS) da Malásia teria subido para 18 sen/kWh. A PETRA anunciou anteriormente uma Tarifa de Acesso ao Sistema de 14 sen/kWh para projetos elegíveis de fornecimento firme no âmbito do Pacote de Aceleração do CRESS, com o objetivo de melhorar a viabilidade financeira dos projetos. Informações recentes de mercado indicam que os consumidores verdes também poderão precisar pagar 4 sen/kWh adicionais durante o atual período regulatório até o final de 2027, com a tarifa sujeita a revisão no próximo ciclo regulatório. O custo efetivo mais elevado pode reduzir a atratividade econômica do CRESS para alguns usuários comerciais e industriais e afetar a precificação dos PPAs e as premissas de financiamento de projetos, enquanto os usuários de data centers podem ser menos impactados devido aos seus custos de eletricidade de referência mais altos.