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This solution provides an overview and tools to efficiently design or upgrade energy systems control systems to balance energy consumption, despite challenges such as multi-actor decision-making, technical uncertainty, and intermittent renewable energy generation.
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TEAM 11 STUDENTS 6 STUDY BACKGROUNDS
CHALLENGE ENERGY CONSUMPTION OVERVIEW TOOLS TO EFFICIENTLY DESIGN OR UPGRADE ENERGY SYSTEMS CONTROL SYSTEMS TO BALANCE DEMAND AND SUPPLY
ENERGY CONSUMPTION OVERVIEW • Multi-actor decision making: • Different impacts on each stakeholder • Incomplete performance data • Makes decision making difficult • Diverse range of developing technologies: • Implications/opportunities unknown • Uncertainty in grid planning
ENERGY SYSTEM DESIGN • Technical uncertainty of micro-grids: • Lack of design tools • Limited grid capacity • Stand-alone operation of: • Building complexes • Systems inside the building
AUTOMATED DEMAND RESPONSE • Mismatch between renewable energy supply and demand • Intermittent renewable energy generation • Lack of energy storage capacity • Lack of real-time electricity pricing • Lack of price sensitivity
THE SOLUTION Energy Overview Dashboard Energy System Optimisation Energy Management Control System
CAMPUSES, INDUSTRIAL PARKS, PORTS SPECIAL CASES: CENTRALISED DATA BULK CONSUMER MULTIPLE BUILDINGS MICRO-GRID
GAIN INSIGHTS INTO THE CAMPUS GRID DESIGN AN ENERGY SCENARIO
GAIN INSIGHTS INTO THE CAMPUS GRID OPTIMIZE SCENARIO AND OUTCOME DESIGN AN ENERGY SCENARIO
GAIN INSIGHTS INTO THE CAMPUS GRID OPTIMIZE SCENARIO AND OUTCOME RUN SIMULATIONS DESIGN AN ENERGY SCENARIO
AUTOMATED DEMAND RESPONSE & ENERGY ASSET MODELLING
3. OVERVIEW OF RENEWABLE ENERGY SUPPLY 17% of renewable energy is not consumed
5. SHIFTING THE ELECTRICITY DEMAND 8% of the renewable energy is not consumed
6. ENERGY SYSTEM OPTIMIZATION 1% of renewable energy is not consumed