This project is co-funded by the European Union 1 st Review Meeting - Brussels, December 16 th, 2014 WP 1: Smart City Energy Assessment Framework & User Requirements

 Overview  Progress & Results Task 1.1: Linking Smart Cities with Energy Optimization Task 1.2: Development of Smart City ex-post and ex-ante Energy Assessment Framework (SCEAF) Task 1.3: Users Requirements  Deliverables & Milestones  Conclusions Outline

To link Smart Cities with Energy Optimization, through a thorough analysis of the Smart Cities concepts and ideas, in relation to energy optimisation techniques and methods. To develop a methodological tool (Smart City Energy Assessment Framework – SCEAF), to be used to conduct a thorough analysis and assessment (in a coherent, transparent and integrated way), of the ex- ante and ex-post status of a Smart City, in relation to the themes concerned by the project. To collect, through a systematic way, all the user requirements, by actively involving all end-users and stakeholders (e.g. city authorities, citizens, energy companies, other stakeholders, etc). Overview (1/3) WP1 – Objectives

Overview (2/3)

Tasks Overview (3/3) Task 1.1: Linking Smart Cities with Energy Optimization – NTUA Task 1.2: Development of Smart City ex-post and ex-ante Energy Assessment Framework (SCEAF) – NTUA Task 1.3: Users Requirements – TECNALIA All the activities in WP1 have been successfully completed during the 1 st Reporting Period

Scope Study, collection of information and analysis in a concrete and comprehensive way of all the existing methodologies, best- practices, projects, tools and technologies in relation to ICT technologies for energy use and optimisation. Task 1.1 Task 1.1 Linking Smart Cities with Energy Optimization Methodologies, tools, techniques and best practices integrating weather forecasting Methodologies, tools, techniques and best practices integrating energy production data

OPTIMUS Innovation Task 1.1 Task 1.1 Linking Smart Cities with Energy Optimization Methodologies, tools, techniques and best practices integrating energy prices data Methodologies, tools, techniques and best practices integrating energy profiles data

Multidisciplinary Data Task 1.1 Task 1.1 Linking Smart Cities with Energy Optimization Weather forecasting Real-time energy profiles Social media Current energy prices Renewable energy production OPTIMUS DSS is supposed to be fed with data sources from multiple domains and it will support the short-term energy action plans of municipal buildings. A detailed description of the multidisciplinary data categories to be exploited in the OPTIMUS DSS is provided in D1.1 “OPTIMUS Approach to Smart Cities and Energy Optimization”.

The OPTIMUS DSS Concept Task 1.1 Task 1.1 Linking Smart Cities with Energy Optimization Semantic Framework: gathering and integration of data coming from the five data sources. Data mining process: metadata to data (patterns, clusters, etc). Inference engine: receive as input the data and metadata. Definition of the adopted OPTIMUS approach

Spiliotis E., Raptis A., Legaki Z.N., Assimakopoulos V. (2014) Forecasting electrical consumption of commercial buildings using energy performance indicators, International Journal of Decision Support Systems (in press). Androulaki, S. Doukas, H., Marinakis, V., Madrazo. L. and Legaki, N.Z. Enabling Local Authorities to Produce Short-Term Energy Plans: A Multidisciplinary Decision Support Approach. International Journal on Management of Environmental Quality (under review). Publications Task 1.1 Task 1.1 Linking Smart Cities with Energy Optimization

Task 1.2 Task 1.2 Development of Smart City ex-post and ex-ante Energy Assessment Framework (SCEAF) The “Smart City” Concept The holistic approach of a “Smart City” with emphasis on the need to promote a sustainable-energy -oriented “OPTIMUS City” concept.

You can’t improve something if you cannot measure it. In an ordinal scale, how “OPTIMUS” is a city? Assess the performance before (ex- ante) and after (ex-post) the implementation of any beneficial action (e.g. OPTIMUS DSS). Approach Task 1.2 Task 1.2 Development of Smart City ex-post and ex-ante Energy Assessment Framework (SCEAF) How “OPTIMUS” a city is… ? (1/2)

SCEAF aims to direct “Smart Cities” to energy optimization by highlighting the strengths, the vulnerabilities and the opportunities arising, given the existing energy strategy, environmental policy, municipal facilities and related infrastructures of each city. Task 1.2 Task 1.2 Development of Smart City ex-post and ex-ante Energy Assessment Framework (SCEAF) ex-ante and ex-post status of a City, in relation to energy optimization, compared with the “OPTIMUS” city, which is the city that achieves the best performance in all proposed indicators. How “OPTIMUS” a city is… ? (2/2)

Political Field of Action How ambitious am I? Political Field of Action How ambitious am I? energy savings and environmental commitments/ targets, Funding Energy & Environmental Profile How energy efficient am I? Energy & Environmental Profile How energy efficient am I? Related Infrastructures & ICT How “Smart” am I? Related Infrastructures & ICT How “Smart” am I? RES, Energy Efficiency, CHP plants, energy storage, CO 2 emission levels and energy mix ICT, automations, monitoring & forecasting systems, social media and energy cost Task 1.2 Task 1.2 Development of Smart City ex-post and ex-ante Energy Assessment Framework (SCEAF) Structure of the Framework (1/2) Evaluation Axes

Energy saving targets CO 2 emission targets Efficiency at fulfilling targets Funds devoted for energy efficiency Energy consumption intensity Energy production via RES Energy conservation Air pollution Network efficiency Monitoring systems, BEMS & automations, Smart Meters and ICT solutions Forecasting systems Social media Pillars Task 1.2 Task 1.2 Development of Smart City ex-post and ex-ante Energy Assessment Framework (SCEAF) Structure of the Framework (2/2) Political Field of Action Energy & Environmental Profile Related Infrastructures & ICT

Political Field of Actions Energy and Environmental Profile Related Infrastructures and ICT SCEAF Axes Data Aggregation SCEAF at Different Levels Same Philosophy Same Methodology Same Axes Modified indicators Task 1.2 Task 1.2 Development of Smart City ex-post and ex-ante Energy Assessment Framework (SCEAF) Based on the City Level SCEAF, a customized Municipal Building Level SCEAF was developed to be used in the pilot sites (Task 4.1).

1. Political Field of Action Axis Task 1.2 Task 1.2 Development of Smart City ex-post and ex-ante Energy Assessment Framework (SCEAF) City Level SCEAF (1/3)

2. Energy and Environmental Profile Axis City Level SCEAF (2/3) Task 1.2 Task 1.2 Development of Smart City ex-post and ex-ante Energy Assessment Framework (SCEAF)

3. Related Infrastructures and ICT Axis City Level SCEAF (3/3) Task 1.2 Task 1.2 Development of Smart City ex-post and ex-ante Energy Assessment Framework (SCEAF)

Municipal Building SCEAF Task 1.2 Task 1.2 Development of Smart City ex-post and ex-ante Energy Assessment Framework (SCEAF)

Political Field of Action Energy & Environmental Profile Related Infrastructures & ICT OPTIMUS City City under Evaluation Highest score in every indicator Random score in each indicator Scaling Calculated score per axis Task 1.2 Task 1.2 Development of Smart City ex-post and ex-ante Energy Assessment Framework (SCEAF) OPTIMUS Rating Chart (1/3)

“OPTIMUS Rating Chart” supports the classification according to the rating resulted from the analysis, based on the following linguistic term set: Results can be presented transparently; Are easily understood by the experts, since the SCEAF main outputs are words; Include also the numerical value that depicts the difference between the numerical value and the index of the closest linguistic term (no loss of information). S = {s 0 = Insignificant (I), S 1 = Very Low (VL), S 2 = Low (L), S 3 = Medium (M), S 4 = High (H), S 5 = Very High (VH), S 6 = Optimus (O)} OPTIMUS Rating Chart (2/3) Task 1.2 Task 1.2 Development of Smart City ex-post and ex-ante Energy Assessment Framework (SCEAF)

Herrera F., Martinez L. An approach for combining linguistic and numerical information based on 2-tuple fuzzy representation model in decision-making, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 8 (5) (2000) Heterogeneous Information OPTIMUS Rating Chart (3/3) Task 1.2 Task 1.2 Development of Smart City ex-post and ex-ante Energy Assessment Framework (SCEAF) Numerical values Linguistic terms Unification of the information Aggregation of the preferred values Transformation into 2-tuple 2-tuple Symbolic Translation

OPTIMUS SCEAF Tool Data Collection SCEAF methodology Fill SCEAF questionnaire Evaluation Visualization Task 1.2 Task 1.2 Development of Smart City ex-post and ex-ante Energy Assessment Framework (SCEAF) The OPTIMUS SCEAF Tool is presented in the description of the Task 4.1… Under Task 4.1

Androulaki, S., Spiliotis, E., Doukas, H.,Papastamatiou, I. and Psarras, J. (2014). Proposing a Smart City Energy Assessment Framework linking local vision with data sets. Proceedings of the The Fifth International Conference on Information, Intelligence, Systems and Applications (IISA 2014), July 07 – 09, 2014, Chania Crete, Greece. IEEE Xplore Publications. Papastamatiou, I., Doukas, H. and Psarras, J. (2014). An Information Management Software for assessing smart energy systems - Exploiting cities’ multidisciplinary data. Proceedings of the The Fifth International Conference on Information, Intelligence, Systems and Applications (IISA 2014), July 07 – 09, 2014, Chania Crete, Greece. IEEE Conference Publications. NTUA is going to submit a paper, entitled “How “OPTIMUS” is a City in Terms of Energy Optimization? A Web Based Decision Support Tool for Local Authorities”, in the Special Issue “New Trends of Information Fusion in Decision Making” of the Information Fusion - An International Journal on Multi-Sensor, Multi-Source Information Fusion. Task 1.2 Task 1.2 Development of Smart City ex-post and ex-ante Energy Assessment Framework (SCEAF) Publications

In a Nutshell (1/4) Associated deliverable: D1.3 User Preferences (delivered) Objectives Task 1.3 Task 1.3 Users Requirements Overall description To collect, through a systematic way, all the user requirements, involving all end-users and stakeholders (e.g. city authorities, citizens, energy companies, other stakeholders, etc) to their needs, opinions and ideas of innovation, concerning the project. To define the main desired characteristics from a pioneer Smart Cities DSS that, through the use of intelligent tools & stored knowledge, will have as purpose to be a beneficial and supportive of their effort to optimize the energy use in their premises and reduce CO 2 emissions

Questionnaire #1: Focused on collecting data from pilot sites it has been developed in the form of web questionnaire to fulfil. The aim of this questionnaire is to obtain a normalized description of each pilot. Questionnaire is focused on identifying targeted end-users too. Questionnaire #2: Focused on identifying expected DSS outcomes. The questionnaire is designed to be fulfilled by phone interview, and extends the information released from questionnaire #1. Questionnaire #3: Focused on identifying the set of requirements required to be fulfilled by OPTIMUS subsystems to achieve the outcomes identified in questionnaire #2. Questionnaire #3 is designed to guide development works in WP02 and WP03 Task 1.3 Task 1.3 Users Requirements In a Nutshell (2/4) Requirements Collection methodology:

Task 1.3 Task 1.3 Users Requirements In a Nutshell (3/4) Requirements Collection methodology:

Focused on identifying visual layout and content of the outcomes to be delivered by the DSS. The “Mock-Up” and the second questionnaire are complementary in terms that the Mock-Up shows how the information required from the DSS functionalities is going to be presented to end-users Task 1.3 Task 1.3 Users Requirements In a Nutshell (4/4) Mock-Up development:

Overall picture of pilots’ automation and monitoring level Definition OPTIMUS’ desired functionalities for each pilot OPTIMUS’ analytics graphical interface definition (Mock- Up) Definition of requirements for WP02 modules in order to satisfy desired functionalities Task 1.3 Task 1.3 Users Requirements Main achievements

Forecast: The need of forecasting has been raised as the factor that is currently not very included in the energy management. Forecasts of energy demand, of upcoming extreme temperatures, of the cost of energy consumption have, among others, been identified as factors that, helping to anticipate actions, lead to energy savings and help to the effective conduction of the management task. Schedule: Municipalities expect help in the planning of activities being carried out in buildings, streets or power plants under their management. Actions that could be supported by the DSS are, among others: planning of building heating or cooling management taking into consideration building occupancy levels, scheduling of supply periods for energy sources (biomass, fuel...) that need to be locally stored. Visualization: The way in which users select buildings to carry out the forecast/historical analysis and action plans operations has been put into perspective in order to provide the requirements for the interfaces designs (responding to the energy management needs of each pilot). Task 1.3 Task 1.3 Users Requirements Outcomes Main Targets to be addressed by OPTIMUS

Three (3) deliverables were developed and submitted within the framework of WP1, as follow: o D1.1: OPTIMUS Approach to Smart Cities and Energy Optimization o D1.2: Smart City ex-post and ex-ante Assessment Framework o D1.3: User Requirements Two (2) milestones have been achieved, as follow: o MS1: Development of Smart City ex-post and ex-ante Energy Assessment Framework (SCEAF). o MS2: User requirements and implementation baseline. Deliverables & Milestones

Conclusions Oct '13 Nov '13 Dec'13 Jan '14 Feb'14 Mar '14 Apr '14 May '14 Jun '14 Jul '14 Aug '14 Sep '14 WP1 Smart City Energy Assessment Framework and User Requirements Task 1.1Linking Smart Cities with Energy Optimization  Task 1.2 Development of Smart City ex-post and ex-ante Energy Assessment Framework (SCEAF)  Task 1.3Users Requirements    Although a first completed version of the SCEAF was presented on time, SCEAF enhancement was an ongoing procedure, taking into consideration the development of the related tasks 2.1 and 4.1, constantly improving the final deliverable D1.2. For reasons of coherence and consistency with the DSS architecture and vocabulary, the last version of the SCEAF was completed on September Beyond the contractual obligations, a web based tool was developed that integrates the SCEAF, for its application to the pilot sites.

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