Energy transition with

a use of Geo-spatial

and Big Data

Alisa Yushchenko

Consultant on energy programs

Services Industriels de Genève, Switzerland

Training of the national officials and experts responsible for sustainable energy data collectionMinistry of Energy building, Tbilisi, Georgia

12 September 2017

Energy transition in Geneva

2

Energy policy

objectives

Energy

planning

Energy

programs

Energy consumption

CO2 emissions

change

Evaluation

Infrastructure

Energy efficiency

Renewable

energy

Coordination between solutions and scales

3

RestaurantsOffice

buildings

Households

Common spaces in building

SolarHeat pumps

District heating

Insulation

Data collection and use challenges

4

Geo-spatial and Big Data producers:

Data characteristics:

Collected?

Systematized?

Accessible?

Updated?

(Un)used?

Statistics

Maps

Energy consumption

InfrastructureEnergy projects Field data Studies

AtlasEco21: planned content

5

Buildings Technology &

Consumption

Energy saving &

Renewable energy

potentials

AtlasEco21: “building” data

6

Physical characteristics

Year of construction

Surface area (in total, heated surface)

Landlord data

Building owner

Managing company

Socio-economic characteristics

Inhabitants (number if > 3 households in building)

Households (number)

Companies (type of business, number of employees)

AtlasEco21: “Technology and consumption”

data

7

Energy consumption

Heating & Hot water (kWh/year, kWh/m2/year - nominal values and

corrected for climate conditions)

Electricity (kWh/year - in total, by households, by companies, for

common usage)

Water (m3/year – in total, by households, by companies)

Heating systems

Energy source (heating oil / natural gas / district heating / renewable

energy)

Power (kW)

Year of installation

AtlasEco21: “Energy saving & Renewable

energy potentials” data

8

Energy program results:

Energy & CO2 savings by building / consumer

Energy saving potentials:

Heating & hot water by building

Electricity & water in households, companies and common

spaces

Energy supply potentials

District heating

Heat pumps

Solar

Functioning principle

9

ATLAS

ECO21

Data source 1

ETLBD

BD

ETLTool 1

Tool 2

Tool n

Data source n

AtlasEco21: example of heating planning tool

(data collected)

10

AtlasEco21: example of energy supply

contracting tool

11

Functions:

Data on heating systems by building

address (regular update)

Individual building and building

group levels

Pre-qualification of technical and

economic feasibility

Contracting offer development (with

comparison of alternatives)

Evaluation of CO2 savings

Automatization of reports

Objective:

Centralize data from studies and

pilot projects

Reduce the costs of the projects

12

AtlasEco21: example of energy saving tool for

buildings

AtlasEco21: example of energy saving tool for

business

13

Min. Median Max. You

Sector performance Company performance

Energy

saving

potential

Project value

14

Data valorized:

Collected -> Systematized -> Accessible -> Updated -> Used

Dialogue facilitated:

State – Utility – Energy programs – Installers – Consumers & Building owners - Evaluators

Energy efficiency & renewable energy potentials identified:

Building -> District -> Canton

Technical efforts coordinated

Individual renewable heating systems – District heating – Envelope insulation

Addressing multiple potentials at once: heating – electricity – water

Project implementation facilitated

Visual communication & Automatization -> Time and costs saved