SRT Data
{"document_type":"cluster","scis_id":"ruggedised-ume-_ict_u2b---peak-load-variation-management-electricity","cluster_type":"ict","ict_general":{"ict_name":"B. Power Control: The current platform has been successfully tested on a smaller scale for a number of years and Ume\u00e5 domain experts have had good experiences with the technology applied. Tests with manual control simulating the automated energy management have also shown that the peak power demand at Ume\u00e5 Campus can be reduced at least 15% with smart energy management. Using automated power controls with ICT-tools will be even more effectively implemented in the University and residental buildings, thus leading to less fossile fuel consumption during peak load time. ","ict_foa_type":"Energy System(s) Integration","ict_foa_type_esi":"Neighbourhood Energy Management System","ict_foa_year_completion":"2019.11.01"},"ict_kpis":{"ict_reliability":[{"key":"ict_reliability","kpi_name":"Reliability in terms of power interruptions","unit":"number\/a"},{"key":"ict_power_quality_supply","kpi_name":"Power Quality and Quality of Supply (DSO+TSO): Time needed for awareness of grid faults","unit":"minutes"}],"ict_infrastructure":[{"key":"lampposts","kpi_name":"Amount of smart lampposts","unit":"number"}],"ict_system_integration":[{"key":"ict_increased_flexibility","kpi_name":"Flexibility from energy players by increase of load capacity participating in demand side management","unit":"MW"},{"key":"ict_energy_reduction_cost","kpi_name":"Energy price (averaged over a year)","unit":"\u20ac\/kWh","baseline":0.03084,"intervention":0.04255,"savings":-37.9702},{"key":"ict_peak_load_reduction","kpi_name":"Peak load level","unit":"MW","baseline":10.32,"intervention":7,"savings":32.1705},{"key":"ict_increased_hosting_capacity","kpi_name":"RES and DER hosting capacity","unit":"MW"},{"key":"ict_hosting_capacity_electrical_vehicles","kpi_name":"Hosting capacity for electric vehicles and other new loads","unit":"MW"}],"ict_consumers_engagement":[{"key":"ict_number_final_users","kpi_name":"Number of end users involved","unit":"#"},{"key":"ict_people_with_increased_capacity","kpi_name":"Number of people with increased ability to manage their energy consumption","unit":"#"}],"ict_environmental":[{"key":"total_co2_emissions","kpi_name":"Total CO2 Emissions","unit":"kgCO2eq\/a","baseline":2114233.519,"intervention":2286561.251,"savings":-8.1508},{"key":"final_total_primary_energy_demand","kpi_name":"Total Primary Energy Demand (due to the ICT measure implemented)","unit":"kWh\/a","baseline":36295854.4,"intervention":39254270.4,"savings":-8.1508}],"ict_economic":[{"key":"total_investment","kpi_name":"Total Investments (excl. VAT)","unit":"\u20ac","intervention":64333.3333},{"key":"grants","kpi_name":"Grants","unit":"\u20ac","intervention":32166.6666},{"key":"net_energy_savings","kpi_name":"Annual value of improvements","unit":"\u20ac\/a","intervention":0},{"key":"total_operating_costs","kpi_name":"Total Operating costs","unit":"\u20ac\/a","intervention":22333.3333},{"key":"dynamic_payback_period","kpi_name":"Dynamic Payback Period","unit":"a","intervention":0},{"key":"return_investment","kpi_name":"Return on Investment","unit":"%"}],"social":{"social_jobs_created":0.266666667}},"_id":"cluster:ruggedised-ume-_ict_u2b---peak-load-variation-management-electricity","revisions":[{"user":"Daniel Horak","date":"2022-10-25T15:12:17+02:00","reason":"update"}]}
SRT ID
cluster:ruggedised-ume-_ict_u2b---peak-load-variation-management-electricity