1 Transform helps cities reach the EU energy 2020 targets within - - PowerPoint PPT Presentation

Introduction into TRANSFORM And the Decision Support Tool

May 13, 2014 Amsterdam

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Transform helps cities reach the EU energy 2020 targets within their social, economical and environmental context.

• How to engage and align all involved stakeholders in the decision making process?
• How to make your decision making process transparent and uniform for all parties involved?
• How to base the decision making on open data and analytics?

Transform supports those local stakeholders, responsible for investment and policy decisions in cities, to turn their CO2 ambitions into a tangible and concrete implementation plans based on maximized: Stakeholders engagement Data analytics & open data Started in 2012 and to be finished by mid 2015

When is comes to transparent decision making where all stakeholders are aligned and implementation is ensured, challenges may arise.

Each city participating in Transform has a different context and is in a different stage of implementing their energy strategies.

Six leading cities are participating in the TRANSFORM project supported by partners in reaching their 2020 energy targets and beyond.

Transform develops deliverables that will support city energy strategies and implementation plans as well as a generic handbook and tools for other EU cities.

State of the art and the city ambition

• Conduct SWOT

analysis

• Create baseline

scenario / status quo report

• Set up selection of

KPIs

• Develop definition

Smart Energy City

Transformation agenda for a city

• Write Transformation

Agenda for each city

• Develop qualitative

decision support tools

• Formulate priorities

per city for TRANSFORM

• Analyze current city

strategies

Quantitative decision support model

• Develop stakeholder

usability environment for tool

• Develop user / test

cases

• Gather data from city

and stakeholders

• Analyze requirements

and data availability

Smart Urban Labs at the district level

• Write implementation

plan for each Smart Urban Lab (SUL)

• Develop solutions in

Intensive Labs Sessions with experts

• Formulate key

priorities for improvement in the SUL

• Analyze state of

development in city SULs

Dissemination and replication

• Set-up

communication program Encourage buddy-city-programs

• Create tools and

handbook for Transformation Agenda and Implementation Plans

1 2 3 4 5 Each work package has its own activities and outcomes and together develop a common structure of methodologies to become a smart energy city.

The Decision Support Tool enables transparent decision making based on stakeholder involvement and open data.

Layered data comparison Measure editor City Intelligence

Analyze and compare city data based on geo spatial maps and graphical insights on current energy performance (CO2, energy consumption, RES etc.) Insert city and district plans in the measure editor, and allocate measure to a specific location (city, district, building) Analyze results of combined measures on KPIs: CO2 reduction (versus costs), energy efficiency, proportion, RES Social, economic and environmental factors. 3

Quantitative decision support model

Prototype is delivered Final launch at end of 2014

Goals of the steps

1.1. Load updated city data

• Gathering all available data which is

harmonized and placed into the data architecture

• Selecting the city to be explored
• Loading of data into the web interface

1.2. Analyze opportunities

• Setting the scope of data query on the type
• f asset, type of KPI, or the geographic scope
• Getting an understanding of different
• pportunities in the city by running variable,

data queries on different geographic levels and across different assets

• Analyzing opportunities and insights from

visual output via hot spots, interdependencies, etc.

The tool in five steps: Analyze the city context

To determine the impact of a portfolio of measures, detailed location (geography) specific city data is required in a standardized format.

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Assumption based scenarios and KPI target-setting help establishing boundaries and the scope of analysis.

Goals of the steps

2.1. Define and load scenarios Identifying ranges of threats and opportunities that are outside the direct control of the city that can be used in a sensitivity analysis Loading existing scenario’s (e.g. European averages) or creating custom scenarios by setting assumptions for population growth, economic growth, market energy prices etc. 2.2. Set performance targets Setting performance targets in terms of 2020 EU energy targets Identifying individual constraints and success indicators for all stakeholders (including costs, budgets, and non-energy targets)

The tool in five steps: Set scenarios and targets

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Defining specific measures in a measure editor facilitates definition of impact of each individual measure on the selected KPIs.

Goals of the steps

3.1. Define and load measures Creating a measure in measure editor Defining a measure by identifying how it impacts KPIs and/or other indicators 3.2. Define and load enabling measures Identifying what enabling factors need to be in place to implement the measure Creating enabling measure in the measure editor 3.3. Define and load preconditions Defining and setting boundary conditions and breaking points Creating preconditions in measure editor

The tool in five steps: Define measures in measure editor

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Allocation of measures places measures in selected areas or to selected assets, and provides the time from when they are effective.

Goals of the steps

4.1. Allocate measures Selecting an (enabling) measure from the list of possible measures Selecting the area or assets which the measures should be applied to 4.2. Determine the timing of measures Selecting an allocated measure Setting the start of implementation time and the time when the measure will be fully effective 4.3. Determine stakeholder commitment Reviewing the required effort per stakeholder Committing the pre-conditions of the portfolio

• f measures

The tool in five steps: Allocate measures

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The impact of measures on KPIs within different scenarios can be analyzed and compared to the targets to determine the gap.

Goals of the steps

5.1. View the impact View the impact of a portfolio of measures (within specific scenarios) on KPIs in time 5.2. Determine the gap Analyze the outcomes of the simulation runs Determine the gap between targets and simulation outcomes per KPI 5.3. Identify additional actions Analyze the gaps Identify additional actions to close these gaps and find the optimal combination of measures

The tool in five steps: Determine impact

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Real life city development projects serve as urban labs to optimize and execute the developed methodologies.

Copenhagen Nordhavn Redevelopment of port area towards a CO2 neutral, neighborhood for living and working Hamburg IBA Wilhelmsburg Transformation of a partly industrial zone into a mixed- use urban area. Amsterdam Zuidoost Transformation of a mixed- use area with focus on smart grids and energy efifciency Lyon Part Dieu Transformation of a multifunctional area with the aim to double the area with unchanged energy consumption Genoa Mela Verde: Port area which will be transformed into a new urban area. Vienna Seestadt and Liesing Greenfield and brownfield development including 20.000 apts., 20.000 work places, new public transport and smart infrastructure.

The Transform serious game is an interactive session that demonstrates the role of the decision support tool in the decision making process.

The objective is to help stakeholders:

• Gain a better understanding of each individual’s targets, power and interest and
• To be aware of enabling factors for their measures
• Multiple tables of each 5 players
• Each representing a city stakeholder
• Going through a decision making process with virtual measures in a virtual city
• The team with the most optimal outcome is the winner

Municipality Large consumers Network operators Energy providers Technology enablers

There are two version of the game: the card version and the online version

Card version Online version

City map indicating the energy improvement Potential per district Measure cards indicating costs and benefits per measure The online version follows the steps of the tool

We’d like to discuss together with you…. What Value do you see in the Decision Support Tool?

…taking into account the following factors:

• Political
• Economic
• Social/Demographic
• Technical
• Legal
• Environmental

What are the preconditions for a successful tool?

…in the area of measures such as:

• Solar panel implementation
• Mobility
• Thermal heat grid expansion
• Retrofitting
• Heat/ cold reservoirs
• And more….

Is your city ready for a smart energy transformation?

Is your city looking for a common platform to analyze their smart energy plans by analytics and city data? Does your city like to learn from other cities and developed methodologies to create their smart energy strategy?

Accenture: Joost Brinkman Joost.brinkman@accenture.com Ivo Wenzler Ivo.wenzler@accenture.com City of Amsterdam: Ronald van Warmerdam RvWarmerdam@pmb.amsterdam.nl Bob Mantel Mantel, Bob B.Mantel@dro.amsterdam.nl