Crowdsourced electricity forecasting is an incentive mechanism for end-users to forecast their own short- or long-term electricity demand (e.g., through a smartphone app). By combining large numbers of such forecasts, utilities can plan their operations more efficiently.
The Optimal Energy Management System is a high standard universal energy monitoring system which aims the energy process overviews for increasing energy efficiency, exploring saving potentials thereby it is possible reducing the cost in multi-stage continuously. The Hungarian Telecom expert team prepares proposals based on the analysis of measured data and on-site surveys (e.g. energy contracts overview, industry benchmark data comparison) which are available at the institutional level to reduce costs through optimization of energy consumption.
EnerXi is designed to control and manage buildings from an on cloud web environment in which different users could know all the real-time energy information: heating, cooling, electricity, hot water... (taken from counters, thermostats, valves, boiler room) may interact with it, verify the impact of the Energy Saving Measures taken, and even determine the economic impact of the consumption patterns in the building.
IBM TRIRIGA provides a single, role-based view of the data, allowing you to visualize energy, environmental and portfolio performance metrics benefits. It can help: Guide energy usage and reduce costs. Achieve efficiency and environmental responsibility. Increase building management effectiveness and productivity. Improve energy efficiency and increase occupant satisfaction. Centralize real-time events for consolidation, correlation and to initiate actions based on analytical rules applied to energy and operational data.
Introducing a 21st century technology in a 17th century monument building will reduce CO2 emissions by 50%. Using this innovative local energy generation technology will enable the building to provide its own electricity. Fuel cell technology is quite a broad field that requires experience from many different disciplines: from chemistry to material sciences and all the way through to engineering and thermodynamics.
Residents will be able to use the battery in their electric car to store their locally produced energy. Residents will be able to decide how to put their locally produced energy (i.e. from solar panels) to use. The energy can be transferred to the energy grid, used immediately or stored in the battery of an electric car, to be used at some later time to drive the car or run household appliances.
e-DASH aims at the harmonization of electricity demand in Smart Grids for sustainable integration of electric vehicles. This is addressed by an intelligent charging system supported with near real-time exchange of charge related data between EVs and the grid.
Microgrids are an especially interesting alternative wherever a stand-alone grid is feasible or even necessary for reasons of geography, infrastructure, or security of supply. In addition to islands and villages in remote regions, other possibilities include large universities, governmental organizations, industrial complexes, shopping centers, and independent grids of local utilities.
This intelligent electricity network (Smart Grid) contains additional computers and sensors placed in the grid. As such current and voltage are monitored continuously to provide more accurate monitoring and control functions. In the past these functions weren’t available at this level.
The city of Amsterdam expects the Energy Atlas to stimulate the use of renewable energy, as citizens will become more aware of their own energy usage and realise that there are gains to be made. Companies will be able to determine their own usage and that of others and find out where renewable sources of energy and the energy infrastructure are located. The Energy Atlas is one of the instruments Amsterdam can utilize to advance the transition to a system of renewable energy (the Energy Transition).