In recent years, energy crisis and climate changes have raised a significant attention globally. There’s an increasing awareness of maximising the utilisation of distributed energy resources to ease local network congestion, reduce carbon emissions and even support the grid. This thesis presents a shared energy storage system across multiple apartments to reduce investment and operation costs. Both hardware integration solution and software Cloud connected energy management system are designed and implemented. The solution has been deployed and trialled in residential building block running for two years in a pilot project. The performance of is evaluated through data analytics from the deployed systems. The business model for the above system is proposed and explored. The optimisation is enhanced with various energy services based on fuzzy logic rules to manage controllable loads and incorporate with grid tariffs are designed and evaluated. The feasibility and performance of the proposed energy services is validated through simulation platform with load and generation data profiles extracted from the deployed systems. An aggregated energy management services for apartment buildings is proposed. Business models with incentive scheme are exploited to minimise the operation cost. Its performance is conducted in case studies through various scenarios.