ICT Smartcities 2013 FP7-SMARTCITIES-2013 OPTIMUS Concept, Objectives and Work Plan OPTIMising the energy USe in cities with smart decision support system (OPTIMUS) Objective ICT Optimising Energy Systems in Smart Cities Small or medium scale focused research project (STREP) Presentation by Prof. J. Psarras and Dr. Haris Doukas Kick-Off Meeting October, 23 rd -24 th 2013, Athens

Vision The OPTIMUS Vision

Objectives (1/2) OPTIMUS approach Objective 1: To develop the OPTIMUS approach on the linking of Smart Cities with Energy Optimization, through a thorough analysis of the Smart Cities concepts and ideas, in relation to Energy Optimisation techniques and methods. methodological tool Objective 2: To develop a methodological tool (Smart City Energy Assessment Framework), which will be used so as to conduct a thorough analysis and assessment (applicable to different cities), of the ex-ante and ex-post status of a Smart City, in relation to the themes concerned by the project. user requirements Objective 3: 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) to this process model data Objective 4: To define, collect and semantically model data from different types and sources, which can help to understand the influential factors in the energy consumption in a city.

Objectives (2/2) develop the OPTIMUS DSS Objective 5: To develop the OPTIMUS DSS. This implies development of the inference engine & mechanisms, by including the necessary knowledge and intelligent rules that will be used for energy optimization. The OPTIMUS DSS will integrate the multi-disciplinary data sources and will have as main objective to meet all the necessary requirements and expectations of the end-users (City authorities), by acting as a decision support tool for energy optimization in a rapid and sustainable way. validate the OPTIMUS approach Objective 6: To validate the OPTIMUS approach, through real-life pilot cases in three cities and by providing evidences of energy savings, total cost of operation, scalability of the solutions, user's acceptance and benefits that accrue. OPTIMUS aims to achieve quantifiable and significant reduction of energy consumption and CO2 emissions, through the application of the proposed DSS. extract lessons Objective 7: To extract lessons which could be useful for later deployments of the system at other cities disseminate Objective 8: To widely disseminate the project outcomes and coordinate exploitation of results to optimise impact, to share and promote project results through targeted dissemination activities using appropriate media and tools and to outline an exploitation plan and the respective Service Business Model.

Innovation OPTIMUS Innovation

WPs and Tasks

Timing Timing of the different WPs and their components

Next six months D1.1. OPTIMUS Approach to Smart Cities and Energy Optimization D1.2. Smart City ex-post and ex-ante Assessment Framework D.5.1a Dissemination Plan, initial D.5.2a OPTIMUS Website and Social Media D5.3a OPTIMUS Dissemination Material, initial D6.4 Project Key Performance Indicators Report

Importance – high challenge Dissemination of project results: Importance – high challenge Dissemination (1/2)

Project Logo Self representative; Printed and distinguished in high quality on a colour and greyscale format; Easily conceived; Memory grasping. Project Website Versatile Dissemination Tool; Constant node for dissemination of project activities and results and Communication channel of all interested parties; Afterlife cooperation through web based forum; Referred site containing useful material. Dissemination (2/2)

Thank you for your attention! Prof. John Psarras Dr Haris Doukas Mr Manos Ergazakis Ms Stella Androulaki Mr Vangelis Marinakis

OPTIMising the energy USe in cities with smart decision support system (OPTIMUS)

Consortium OPTIMUS Partners