STEFANO BARBERIS RINA Consulting SpA

Transcription

1 Integrated tool for empowering public authorities in the development of sustainable plans for low carbon heating and cooling STEFANO BARBERIS RINA Consulting SpA

2 PROJECT IN A GLANCE Mapping and Planning of Low Carbon Scenarios for Heating and Cooling

3 PLANHEAT DRIVERS 75% of the European citizens will live in urban areas in 2020 (increase to 84% by 2050) Directive 2012/27/EU aims to a comprehensive assessment of the potential for high efficiency CHP and DHC in order to define strategies for the decarbonisation of H&C systems. Municipalities and other public bodies are encouraged to adopt sustainable energy efficiency plans with clear objectives However, public bodies face the lack of appropriate easy-to-use tools to support them in the definition, simulation and evaluation of their local plans, particularly about H&C

4 PROJECT OBJECTIVES The main objective of PLANHEAT is to develop and validate through real use-cases an integrated georeferenced easy to-use tool for the mapping, planning and simulation of H&C systems at local level. The tool will support local authorities in selecting, simulating and comparing alternative low carbon and economically sustainable scenarios for heating and cooling (from a panel of advanced technologies) that could balance the forecasted demand.

5 THE CONSORTIUM D Appolonia (ITA) Project Coordinator Technische Universiteit Delft (NL) University of Zagabria (HR) Leader for training activities National Observatory of Athens (GR) VITO (BE) Leader for mapping module development TECNALIA (ESP) Regional Environmental Center For Central & Eastern Europe (HU) Euro-Heat and Power (BE) Leader for dissemination activities GEONARDO (HU) Artelys (FR) Leader for software integration activities VALIDATION CITIES PARTNERS Stad Antwerpen (BE) Comune di Lecce (IT) Velika Gorica Grad (HR)

6 PLANHEAT TOOL Support local authorities in Mapping the local available low carbon energy sources (RES and Waste Heat) Mapping the forecasted demand for heating and cooling Define and simulate alternative economically reliable scenarios (DHC, CHP, RES ) Understanding the interactions of the new scenarios with the existing infrastructures and networks (DHC, gas pipelines, electricity, sewage, transportation) Evaluate Open the source impactsand of the user-friendly new solutions tool through energetic, economic and environmental KPIs)

7 MAP GIS-based mapping module H&C demand spatial distribution including forecast on future buildings demand and Urban Heat Island phenomena Local energy sources potential spatial distribution Conventional sources (solar, biomass, geothermal) Unconventional sources (water bodies, sewage network, data centres, shopping mall, underground ventilation shaft) Industrial waste energy (industries, waste incinerators and power plants; LNG terminals and NG decompression stations for cooling supply)

8 PLAN Starting from the inputs of the mapping tool Match demand and supply giving the user the possibility to manually select scenarios Scenarios creation and simulation from city to district (aggregation of building) scale Provided with information on future demand at district level Provided with a library of equipment for the creation of supply scenarios Provided with a tool to define optimal DHC route for analysis at district level

9 SIMULATE & EVALUATE Hourly balance between H&C demand and supply for each selected scenario defined at district level Provided with a library of conversion factors and emission factors. The simulation results will be evaluated through a detailed KPI panel. Technical, environmental and economic assessment Energy targets set in national and local energy policies (e.g. Municipality SEAP) and the local economic scenario (energy tariffs, fuel costs, taxes )

10 VALIDATION CITIES

11 THE IMPORTANCE OF CITY MAPPING Chapter 1 Introduction to mapping process Why mapping? mapping results; general approach; energy demand and potentials; temperatures, technologies Chapter 2 Mapping data specifications What to map? General form of mapping data; crucial data for mapping demand; crucial data for mapping renewable potentials Chapter 3 Available databases Issues on finding data; available databases; additional sources of information 11

12 INTRODUCTION TO THE MAPPING PROCESS Many renewable or waste energy sources are locally available, to potentially supply heating or cooling demand of buildings. Yet, these types of energy must be: in the right amount in the right form and quality (at the right temperature) at the right time at the right place District heating and cooling networks can match the supply and demand in a spatial way

13 WHY IS MAPPING NEEDED? To make an optimal match, information is needed on supply and demand on: Amount Location Temperature Time For different strategies the PLANHEAT tool can now calculate : energy transmission losses in the network the extra energy demand for (heat)pumps dimensions of the components costs (estimate) With high resolution mapping, optimal thermal distribution networks can be planned

14 WHAT WILL THE FINAL RESULT OF THE MAPPING PROCESS BE? Maps on city and district level with information including heating and cooling demand fffjgjgjsadgfjakgd PLANHEAT - MAPPING 14

15 WHAT IS THE FINAL RESULT OF THE MAPPING PROCESS? Data on city and district level with information including heating and cooling demand fffjgjgjsadgfjakgd PLANHEAT - MAPPING Summary of demand map per district per type 15

16 WHAT IS THE FINAL RESULT OF THE MAPPING PROCESS? Maps on city and district level with information including and renewable potentials fffjgjgjsadgfjakgd PLANHEAT - MAPPING Also models and key figures available to map potential supply 16

17 WHAT IS THE FINAL RESULT OF THE MAPPING PROCESS? Data on city and district level with information including reusable and renewable potentials fffjgjgjsadgfjakgd Summary of potential map per district per source type Sorted on priority PLANHEAT - MAPPING The resulting potential maps can be summarized into a table to help in prioritizing technologies at the level of districts 17

18 GENERAL APPROACH TO THE MAPPING PROCESS Define the purpose of the mapping process Define the needed data in order to create maps Search for available databases and acquire need data, if the data isn t publicly available, use default values or use the modelling approach. It is valuable to have more than one source of the information in order to make comparison which could indicate possible data error Use the gathered data as the input data in order to create needed maps

19 ENERGY SUPPLY POTENTIAL WILL BE MAPPED BY PLANHEAT Solar thermal on roofs Geothermal energy Biomass Waste heat from - Electricity production (CHP) - Industrial processes - city sewage, public transportation, data centres etc. Shallow underground Groundwater Surface water

20 BIOMASS - FORESTRY

21 around city name1 name2 name3 : district names Run performs: a Calculate on all nodes all output maps are computed this table is computed 21

22 AVAILABLE DATABASES FOR MAPPING important publicly available databases used by PLANHEAT : OpenStreetMap - topography CORINE - land use and land coverage e.g. urban, agricultural, forest areas etc. GeoDH Europe - geothermal potentials Tabula - building typologies by country EUROSTAT - European statistics More publicly available databases that may be used for the tool are presented in the course guide of the training-module 1 and are presented in the public deliverable D1.6. All public databases used by PLANHEAT will be adapted for the PLANHEAT toolkit. No conversion of any kind is required from users of the tool.

23 PLANHEAT MAPPING DATA SPECIFICATIONS PLANHEAT has 2 different approaches to map H&C demand A Top-down approach Data on energy consumption must be available Provides maps at city scale Annual output Relatively simple A Bottom-up approach Other types of data must be available Provides maps at district scale Allows for H&C curves per hour Estimates future demand Output can be used in PLANHEAT simulation module More elaborate approach

24 MAPPING THE DEMAND TOP-DOWN APPROACH Input data required using the top-down approach: Final aggregated energy consumptions for heating and cooling e.g. total gas/oil use in the city per sector - residential and commercial Geospatial indicators to distribute the aggregated consumption over space e.g. land use maps population density maps building characteristics

25 WHICH DATA IS CRUCIAL FOR MAPPING H&C DEMAND TOP-DOWN? Required data by users following the top-down approach are: Boundary of the area vector map of the desired area in a cadaster map of the city Final energy consumption per sector for the area of interest From municipality/ city and/or energy companies A geo-spatial indicator map indicating the use or sector of each building (e.g. residential, health care, office/ residential, commercial, industrial) Required for dis-aggregation of final energy consumption originating from cadaster maps

26 WHICH DATA IS CRUCIAL FOR MAPPING H&C DEMAND TOP-DOWN? publicly available sets or types of data used by PLANHEAT upgradable by user with city information: A map of land use showing land use zones originating from CORINE A map of population / employee density Or a map of gross residential / commercial floor area Representing residential or commercial density Using CORINE or high resolution local data

27 Mapping H&C demand City mapping module This project has received funding from the European input user = final energy consumption (sector, vector) city*, annual Technology database Useful H&C demand (sector, service) city*, annual Correction factors Future useful H&C demand (sector, service) city*, annual Technology database Future final energy consumption (sector, vector) city*, annual Table Table Table Table MAPPING MAPPING Useful H&C demand (sector, service) pixel, annual bas Future useful H&C demand (sector, service) pixel, annual Maps ANALYSIS MAPPING Maps ANALYSIS MAPPING Useful H&C demand (sector, service) district, annual Future useful H&C demand (sector, service) district, annual Baseline scenario Table Table Future scenario city*: will be the total over the city in most of the applications, but can also be inserted at the level of the districts if information on the split is available. In the latter case, the mapping starts with numbers at the level of districts and performs a further downscaling within the district.

28 Starting a new application 28

29 Shapefile with polygon of city/districts spatial detail of the maps Extended area (supply maps) 29

30 Current useful H&C demand Future useful H&C demand Supply maps Fixed structure with 3 trees 30

31 Add input data 31

32 Map properties 32

33 33

34 34

35 MAPPING THE DEMAND BOTTOM-UP APPROACH Input data required using the bottom-up approach: Satellite-derived data: Heating Degree Hours (HDH) Cooling Degree Hours (CDH) City information per district, based on the information from Cadaster or GIS maps of the City on: Age of each building Use of each building Geometry of each building (Cadaster/GIS): perimeter + floor area Number of floors of each building Geolocation of each building

36 WHICH DATA IS CRUCIAL FOR MAPPING H&C DEMAND BOTTOM-UP? Required data by users following the bottom-up approach are: Boundary of the area vector map of the desired area in a cadaster map of the city Building gross floor area per building information must be provided by the cadaster Building age and use map indicating the age and use or sector of each building (e.g. residential ( ), health care, office/ residential, commercial ( ), industrial) originating from cadaster maps Number of floors per building information must be provided by the cadaster

37 WHICH DATA IS CRUCIAL FOR MAPPING H&C DEMAND BOTTOM-UP? publicly available sets or types of data used by PLANHEAT upgradable by user with city information: A topographical map showing buildings and street patterns Originating from OpenStreetMap Dimensions of building surfaces this is based on national building typologies Originating from e.g. Tabula Thermal transmittance properties of roofs, facades and opening

38 WHICH DATA IS CRUCIAL FOR MAPPING H&C DEMAND BOTTOM-UP? PLANHEAT mapping module has internal databases providing information on: Heat degrees hours for each city Cold degree hours for each city Climate zones for each location Annual domestic hot water per gross floor area Operating schedule for heat/cold/dhw demand Internal gains for equipment etc. Thermal losses from ventilation per building

39 ID Building Centroid Age Use Total height Gross floor area Number of floor Roof area Facade area Volume Protection degree This project has received funding from the European DATA REQUIRED FOR ALTERNATIVE SIMPLIFIED BOTTOM-UP APPROACH Bottom-up approach: Complete YES YES YES YES YES YES YES YES YES YES YES Alternitive YES YES NO NO NO YES NO NO NO NO NO Complete version uses different building properties Alternative version only uses Type of building Floor area

40 DMM Case studies / Data availability ANTWERP VELIKA GORIÇA LECCE Shape file - geometry YES OpenStreetMap OpenStreetMap Building ID YES OSM or ID municipallity OSM Centroid YES Data process Data process Location YES Age (1 data per district) not accurate YES (district level) estimated (separate public & private) / Use OSM not enough (only building ) YES (district level) Provided by the end user not nº of floors / Height accurate YES DTM YES NO YES DSM YES NO In process Building protection YES NO? Real gas consumption YES NO (only assumptions)? COMPLETE ALTERNATIVE ALTERNATIVE Responsible for the validation Vito Unizag Dapp

41 DMM Antwerp Output Per building: CSV + shape Example / Annual heating demand

42 DMM Antwerp Output Per area under study: CSV Energy demand Building age Use Total (kwh/year) Per square meter (kwh/m 2 year) Heat Cool DHW Heat Cool DHW <1945 Residential 23,874, ,399, Tertiary 17,062, ,952 2,766, Residential 4,547, , Tertiary 4,058, , , Residential 1,412, , Tertiary 399,287 9, , Residential 2,828, , Tertiary 1,013,966 46, , Residential 2,472, , Tertiary 573, , , Residential 863, , Tertiary 147, ,911 56, >2010 Residential 254,865 1, , Tertiary 134,588 80,837 72, Total 59,643, ,232 8,804,125

43 DMM Validation 3 validation levels: (based on the Antwerp case study) Influence of the data pre-processing: percel data / building data Demostrate the need to assess the geometry data at building level At building level: comparison with results obtained by dynamic energy simulation assessment of different uses, ages and heating/cooling

44 DMM Validation Comparison with real natural gas energy consumption information not available for all the buidlings located in the area under study take into account only buildings with natural gas consumption data.

45 DMM Validation Comparison with real natural gas energy consumption (kwh) Antwerp (gas consumption) Planheat (useful heating demand) Estimated energy consumption Error TOTAL ,45% Residential ,05% Non residential ,76% Very POSITIVE results! Difference < 10-15%

46 Integrated tool for empowering public authorities in the development of sustainable plans for low carbon heating and cooling E-LEARNING PLATFORM AND FREE TRAINING OPPORTUNITIES

47 TRAINING PLANHEAT tool has to be an easy-to-use software, but a specific training strategy (based on four modules made by traditional and e-learning lessons on a dedicate e-learning platform) will be developed in the project to guarantee the autonomy in the use of the tool by local authorities staff without the support of experts. WHAT ARE THEIR REQUESTS Practical Methodology Use of Use-Cases and Examples Time Flexibility Sharing knowledge and best practices one each other No Strong ICT skills 25 training sessions addressed to different EU countries At least 50 public bodies involved 150 persons to be trained FORUM AREA SIMPLE E-LEARNING PLATFORM DEDICATED WROKSHOPS

48 Training (coordinated by UNIZAG FSB) How to approach city Energy Planning? How to use PLANHEAT tool? +25 Workshops and webinars all around Europe 1 E-Learning Platform 4 Training modules +50 EU public authorities to be involved

49 Training module 1 input data Input data Which kind of data is needed? Where to find it? Presentation of free useful available databases

50 Training module 2 Mapping module How to use mapping module, GIS based tool? Which data will be mapped: 1) Current and future heating and cooling demand 2) Local energy sources potential: RES, conventional, unconventional, waste energy, etc.

51 Training module 3 Planning and Simulation module How to plan sustainable scenarios? You will be able to understand: 1) How much of the yearly demand is covered by local sources 2) Which buildings can be included in this scenario 3) Route optimization of new district heating/cooling system

52 Training module 3 Planning and Simulation module Simulation of planned scenarios are they feasible? 1) Balance of heating/cooling demand and local supply 2) Cost simulation 3) Calculation of KPI about the impact of your plan: economical, environmental, social

53 Training module 4 How to use PLAHEAT integrated tool Using acquired knowledge from previous sessions: MAP PLAN SIMULATE - ANALYSE Case study example, practice and experts guidance

54 How to join us?

55 Live sessions Sign in for live sessions which are close to you More details on the PLANHEAT website/ E-Learning platform,

56 Webinars Be part of any webinar training session Participate and get in touch with other public authorities (FORUM)

57 E Learning platform (by GEONARDO) Learn at your place, at your preferred time and from your preferred device (even Mobile); Find additional materials and reference documents; Be updated about upcoming online and face-to-face learning sessions; Share experiences with other users facing similar challenges as yours; Keep in touch with experts: ask questions directly to us!

58 E Learning platform How to access? Easy and free!! Website:

59 E Learning platform Announcement Board : keep updated on latest news and additions Courses: learn from presentations and interactive displays (recorded webinars)

60 E Learning platform Document Repository: download for free relevant papers and documents Forum: share your specific problems, experiences, ideas

61 E Learning platform FAQ: continuously updated, new threads based on your questions Ask the Tutor: contact project partners directly for any additional questions!

62 How to participate? Webinars and live sessions Contact PLANHEAT partners Check PLANHEAT website for details: Register on E-Learning platform Sign up for the Newsletter Follow us at social media:

63 PLANHEAT PROJECT IN A SLIDE DEVELOPMENT AND VALIDATION OF AN INTEGRATED AND EASY-TO-USE OPEN SOURCE SUPPORT DECISION PLATFORM DEDICATED TO LOCAL AUTHORITIES FOR SUSTAINABLE RES/WASTE HEAT H&C FACILITIES PLANHEAT HIGHLIGHTS Development and Validation of the Platform (3 cities/scenarios: Lecce, Antwerp, Velika Gorica) Training Plan for Local Authorities (25 sessions, more than 150 People involved, 50 cities involved) Project Results Open Repository

64 Thank you for your attention Stefano Barberis Francesca Marchi Hrvoje Dorotic - hrvoje.dorotic@fsb.hr