Savona, T1.3 User Requirements

Outline Task 1.3 in OPTIMUS DOW Deliverable 1.3 Content User Requirements’ definition methodology Collected data Analysis and Results: Sant-Cugat Collected data Analysis and Results: Zaanstad Collected data Analysis and Results: Savona Pending work and Next Steps Conclusions Open discussion

T1.3 Context In OPTIMUS DOW: “The report will present the whole process of the user requirements gathering as well as the main results in a compact and comprehensive way. It will also include the filled-in questionnaires, their analysis as well as results from the other consultations processes” Start : M4 – (Started in Month 3 December) Due date: M8 (May 2014) Main facts: Pilot description questionnaire DSS expected outputs questionnaire DSS MockUP Questionnaires to identify DSS subsistems’ requeriments

Deliverable 1.3 content 1.Introduction 2.User Requirements definition methodology 3.Collected Data Analysis and Results Municipality Data Analysis and Results (for each pilot)  Data Analysis  OPTIMUS DSS Functionalities  OPTIMUS DSS Visual Layout 4.OPTIMUS Constraints and main advantages 5.OPTIMUS User Requirements 6.OPTIMUS Modules Requirements 7.Conclusions 8.Annexes : Municipality - (for each pilot) Survey data Mock-Up data

User Requirements definition methodology DATA COLLECTION PHASES  Municipality & pilot buildings description questionnaire  Questionnaire refining telephone calls  DSS expected fucntionalities questionnaire  Functionalities refining calls  DSS MockUp  Questionnaire to define requeriments for each OPTIMUS’s data gathering subsystem

Questionnaire Results: Sant – Cugat PILOT SITE DESCRIPTION Municipal buildings: 52 builidings (2 Pilots: Theater & Town hall) Used Energy sources: Gas, Electricity, Biomas Deployed energy management policies: Indoor comfort values set at regulation minimum requeriments Outdoor lighting set at regulation minimun requeriments Billing: Electricity: Contract, yearly; Billing, monthly; One bill per building Gas: Contract, yearly; Billing, monthly; One bill per building Biomass: Contract, monthly; Billing, monthly; One bill per building Monitoring: Partialy already centralized monitoring Indoor: Town hall : Indoor comfort. Theater: None Outdoor: Town hall : Temperature/Sun Rad.. Theater: Temperature Social and Forecasting: Not Used

DSS EXPECTED FUNCTIONALITIES Municipallity Level:  Dynamic information about market prices for energy sources  Forecast periods/days that will have outstanding energy demands due to extreme weather conditions Building Level:  Compare buildings’ energy consumption with the outdoor temperature to obtain kWh/Text & kWh/Tint ratios Questionnaire Results: Sant – Cugat

MOCK-UP RESULTS DSS Visual Layout: Sant – Cugat KW/h TNC02 € today Weather conditions Temperature (max/min) ( o C) Occupancy average level (occupants) Energy cost (€) Energy building consumption (€) Renewable energy production (KW/h) CO2 Emissions (TNCO2) Units Energy monetization in comparison with weather conditions Energy monetization table view

Energy monetization extended view MOCK-UP RESULTS DSS Visual Layout: Sant – Cugat

Questionnaire Results: Zaanstad PILOT SITE DESCRIPTION Municipal buildings: 150 builidings (1 Pilot: Municipallity building) Used Energy sources: Electricyti,Gas, Solar Panels Thermal storage used. Regulations allows to use of local consumption of RES Deployed energy management policies: Outdoor lighting based on time schedule and light level. Billing: Electricity: Contract, monthly; Billing, monthly; One bill per building Gas: Contract, monthly; Billing, monthly; One bill per building Tariff based on consumption ranges Monitoring: Basic indoor and outdoor monitoring features (Temp. + CO2) BMS and other monitoring platforms already installed Social and Forecasting: Not used

Questionnaire Results: Zaanstad DSS EXPECTED FUNCTIONALITIES Municipallity Level:  Forecast periods/days that will have outstanding energy demands due to extreme weather conditions  Centralized building monitoring Building Level:  Compare buildings’ consumption with the outdoor temperature to obtain kWh / Text y kWh/Tin ratios  Compare buildings’ consumption with the outdoor wind speed to obtain kWh / Text y kWh/Tin ratios  Link energy demand to building occupancy level  OPTIMUS’s integration with already installed management platforms

Questionnaire Results: Savona PILOT SITE DESCRIPTION Municipal buildings: 85 buildings (1 Pilot: Colombo Petrini High School) Used Energy sources: Electricity,Gas, Fuel, Solar Panels, Solar thermal Regulations allows to use of local consumption of RES Deployed energy management policies: Street/Area outdoor lighting management Billing: Electricity, Gas: Contract, Every # years; Billing, monthly; One bill per delivery point Fuel: Contract, Yearly; Billing, 6 months; One bill per building Different billing schemas: GAS: Changes on the basis of the basic’s fee trend of the authority for the Italian Electricity and Gas (AEEG) Electricity: Changes on the basis of the basic’s fee trend of the Dated Brent Fuel: The rate changes on the basis of the amount of fuel bought

Questionnaire Results: Savona PILOT SITE DESCRIPTION Monitoring:  Outdoor complete monitoring (Temp. WindSpeed, Sun Rad., Pollution)  Indoor not monitored  Heating and RES generation monitored  Cooling and lighting not monitored  BMS platform installed. Social and Forecasting: Not used

Questionnaire Results: Savona DSS EXPECTED FUNCTIONALITIES Municipallity Level:  Integration with already installed management platforms  Forecast periods/days that will have outstanding energy demands due to extreme weather conditions.  Forecast RES generation based on the weather forecast  Centralized building monitoring  Doubt -> Comparison between similar days (3 pilots’ comments) Is it useful?  On-line energy prices update Building Level:  Integration with already installed management platforms  Link energy demand to building occupancy level  Compare buildings’ consumption with the outdoor wind speed to obtain kWh/Text and kWh/Tin t ratios  Free cooling usage

Pending Work & Next Steps Next tasks : Integrate MockUP results. Questionnaire for OPTIMUS data gathering subsystems requeriments Complete deliverable D1.3 Scheduled releases : 21st May complete draft version for review. Due date for comments: 23rd May. 26th May complete version for review. Due date for comments: 28th May. 30th May D1.3 delivery.

Conclusions  Municipallities don’t manage power plants.  Municipalities don’t participate in energy markets but information for future participation should be provided  Local generation is restricted to solar photovoltaic and thermal sources: solar radiation (weather forecast) vs. generation capability should be provided.  The link between energy consumption and weather forecast (Text, Wind speed, ) should be provided.  The link between energy consumption and occupancy level should be provided.

Conclusions  Periods/days of high energy demand due to extreme weather conditions should be identified.  BMS-s are installed but not very detailed information is available. Additional meters will be required  Centralized monitoring and BMS integration desirable

Open Discussion DSS functionalities - High level trends (see S-C MockUp) ? - Detailed set-points ? DSS integration: - Open interface to third party platforms ? - Direct integration with other BMS ? - No integration ? DSS forecasting: - Outstanding hot or cold days? - RES generation in next ## hours? - Energy prices in next ## days?