ICT AND SMART GRIDS GERARD J.M. SMIT CHAIR CAES (COMPUTER ARCHITECTURES FOR EMBEDDED SYSTEMS)
2 BACKGROUND: EU / GOVERNMENT STATEMENT EU statement scenario: in 2020: 20% CO 2 reduction (compared to 1990) 20% of generated energy stems from renewable sources 20% better energy-efficiency EU statement: … scenario is not possible without ICT support … [“Mobilising ICT to facilitate the transition to an energy-efficient, low- carbon economy”, COMMISSION OF THE EUROPEAN COMMUNITIES COM(2009) 111 final, Brussels,]
3 TRENDS & FOCUS Trend 1: More distributed (renewable) generation Micro-CHP, solar cells, wind energy, bio-gas, …. Micro-generators at kilowatt level placed in homes/companies Trend 2: Smart Grids for energy distribution Trend 3: Smart Buildings / Intelligent buildings / smart appliances Trend 4: Electrification of energy distribution
CURRENT SITUATION For all forms of energy: electricity, gas, heat, …. 4
FUTURE: DISTRIBUTED GENERATION Larger peak loads in consumption and production 5
6 CHALLENGES IN SMART GRIDS / RENEWABLE ENERGY SOURCES Micro-generation not always available / predictable Solar cell only works during daytime micro-windmill works when there is wind Micro-generation not always controllable sometimes delivers energy when it is not needed Expect higher peaks in consumption patterns the heating elements of heat pumps the simultaneous charging of electric vehicles Find and use the flexibility in buildings / micro-grid Storage of energy is needed storage is expensive and bulky heat storage, batteries
7 Large distributed system High reliability: should continue even when some parts fail Hierarchical control system: scalable to large systems Find a generic approach Covering multiple scenario’s, objectives and technologies Local and global optimization Stochastic behavior Find and use the energy-flexibility of buildings Non-technical issues Privacy Guaranteed comfort level for resident Who is benefitting economically from this? 7 CHALLENGES FOR THE ICT FOR SMART GRIDS
STAKEHOLDERS IN SMART GRIDS Individual user (security of supply) Independence of energy suppliers Independence of foreign gas/oil supply Group of users (act on the energy market) Buy electricity when it is cheap See electricity when it is expensive Network company (postpone investments in grid infrastucture) Avoid peaks in the distribution grid Self-healing network Large energy companies (??) 8
9 TYPICAL CONSUMPTION PROFILE OF A HOUSE Source: Essent
Profile of an area with PV panels 10 [MW] Source RWE
11 8/8/ TRIANA: 3 STEP CONTROL METHODOLOGY PhD theses Albert Molderink, Vincent Bakker and Maurice Bosman 1: prediction on building level 2: planning in a grid 3. real-time control in buildings
WHAT IS THE ROLE OF ICT? Control production / consumption and storage Real-time optimization problem Predict the production and consumption patterns Monitoring and control of power systems In an autonomous system power quality needs to be controlled Switch between islanded and connected mode Financial transactions who pays for what User awareness show users status of the system 12
YEAR SIMULATION CASE 400 houses, 365 days Heat pump + buffer Electric vehicles Washing machine Dishwasher Battery (5% of houses) Photovoltaics (15% of houses) Inflexible load Flexible 13
RESULTS 14 28% peak reduction 25% std. deviation reduction
15 CONCLUSIONS The energy field will change From production follows the load To load follows production 3 steps: Prediction, planning and control is quite promising Not many systems work in that way Efficient embedded ICT needed Control of appliances (micro-controllers) In-building networks (wireless / wire-line / optical) Energy management in buildings Smart grid control
16 QUESTIONS? web: caes.ewi.utwente.nl or et.ewi.utwente.nl