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OptEEmAL : Decision-support tool for the design of energy retrofitting projects at district level

(1) Energy Department, CARTIF Technology Centre; miggar@cartif.es , gemher@cartif.es , vicser@cartif.es , susmar@cartif.es , sonalv@cartif.es (2) Technical University of Crete; (3) Tecnalia Research and Innovation; (4) United Technologies Research Centre Ireland.

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OptEEmAL : Decision-support tool for the design of energy retrofitting projects at district level

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  1. (1) Energy Department, CARTIF Technology Centre; miggar@cartif.es, gemher@cartif.es, vicser@cartif.es, susmar@cartif.es, sonalv@cartif.es (2) Technical University of Crete; (3) Tecnalia Research and Innovation; (4) United Technologies Research Centre Ireland Miguel A. GARCÍA-FUENTES(1), Gema HERNÁNDEZ-MORAL(1), Víctor SERNA-GONZÁLEZ(1), Susana MARTÍN(1), Sonia ÁLVAREZ(1), Georgios LILIS(2), Georgios GIANNAKIS(2), Kyriakos KATSIGARAKIS(2), Lara MABE(3), Xabat OREGI(3), Diana MANJARRÉS(3), Hassan EL RIDOUANE(4), Luciano DE TOMMASI(4) OptEEmAL: Decision-support tool for the design of energy retrofitting projects at district level

  2. Who are we? RESEARCH CENTRE – technical knowledge FOUNDATION– private non-profit Industrial and digital systems Energy Energy CARTIF Technology Centre Boecillo Technology Park, 205 47151 Boecillo, Valladolid SPAIN http://www.cartif.com Agro-food and sustainable processes “Our mission is generating technological knowledge and innovative solutions to companies to improve their competitiveness.” 1256

  3. OptEEmAL: Decision-support tool for the design of energy retrofitting projects at district level 1 • Introduction: building refurbishment in the EU • OptEEmAL overall approach • Process followed and platform modules • Simulation toolbox to assess the district performance • Multi-objective Optimization Algorithm for district retrofitting problems • Validation at different TRL levels • Conclusions 2 3 4 5 1256

  4. OptEEmAL: Decision-support tool for the design of energy retrofitting projects at district level 1 INTRODUCTION: BUILDING REFURBISHMENT IN THE EU MAIN PROBLEMS DETECTED Process is highly ineffective: fragmented sector, BAU processes, increased costs, changes Isolated analyses: energy aspects might be considered, environmental, social, etc often disregarded Ad hoc simulation models:prone to error, need to model again, time-consuming Analysis limitations:Reduced number of solutions considered Renewable energy sources 2 Reduce energy consumption Energy efficiency 3 2050 Energy Strategy Lower GHG emissions Sustainable growth 4 5 BUILT ENVIRONMENT EXISTING NEW 1256

  5. OptEEmAL: Decision-support tool for the design of energy retrofitting projects at district level PROJECT TYPE: H2020 project – Grant agreement 680676 OBJECTIVE:Find automatically the best solution to a retrofitting project according to some criteria by performing a holistic assessment of the district DURATION: 42 months [1 SEPT 2015 – 28 FEBR 2019] OVERALL BUDGET: € 4.748.858,75 PARTNERS INVOLVED: 13 COUNTRIES: 8 COORDINATOR: Fundación CARTIF 1 2 3 4 5 For more info, pleasevisit: https://www.opteemal-project.eu/ 1256

  6. OptEEmAL: Decision-support tool for the design of energy retrofitting projects at district level 1 2. OptEEmAL OVERALL APPROACH HOLISTIC TAKE OF THE PROBLEM COLLABORATION AMONG STAKEHOLDERS TECHNICAL COMPLEXITY OF THE PLATFORM 2 3 DISTRICT LEVEL INTEGRATED PROJECT DELIVERY APPROACH STANDARDS 4 INTEROPERABILITY SET OF INDICATORS 5 AUTOMATIC PROCESSES ECM CATALOGUE 1256

  7. OptEEmAL: Decision-support tool for the design of energy retrofitting projects at district level 1 3. PROCESS FOLLOWED AND PLATFORM MODULES Scenarios generation and optimisation Data Exporta-tion Data insertion and diagnosis 2 STEP 1 STEP 2 STEP 3 3 4 5 1256

  8. OptEEmAL: Decision-support tool for the design of energy retrofitting projects at district level 1 3. PROCESS FOLLOWED AND PLATFORM MODULES Step 2. Scenarios generation and optimisation Step 3. Data exportation Step 1. Data insertion and diagnosis 1 5 INPUT DATA / PROBLEM DEFINITION 2 BEST SCENARIO 4 ECMs DATA 3 3 BASELINE SCENARIO GENERATION SCENARIOS GENERATION 4 OPTIMISATION / EVALUATION 2 5 SIMULATION AND DPI CALCULATION DPIs DPIs Scenario 0 Scenario n 1256

  9. OptEEmAL: Decision-support tool for the design of energy retrofitting projects at district level 1 3.1 SIMULATION TOOLBOX Step 2. Scenarios generation and optimisation Step 3. Data exportation Step 1. Data insertion and diagnosis 1 5 INPUT DATA / PROBLEM DEFINITION 2 BEST SCENARIO 4 ECMs DATA 3 3 BASELINE SCENARIO GENERATION SCENARIOS GENERATION 4 OPTIMISATION / EVALUATION 2 5 SIMULATION AND DPI CALCULATION DPIs DPIs Scenario 0 Scenario n 1256

  10. OptEEmAL: Decision-support tool for the design of energy retrofitting projects at district level 1 3.1 SIMULATION TOOLBOX 1. District Performance Indicators calculated (42): Calculated by external tools (Simulations and calculations) 2 1. ENERGY (total of 19) Energy demand, energy consumption, renewable use… Energy Plus 2. COMFORT (total of 6) Local thermal comfort, percentage outside range… 3 3. ENVIRONMENTAL (total of 6) Global warming potential, embodied energy, energy payback time NEST 4 4. ECONOMIC (total of 5) Investments, ROI, LCC, operational energy cost… Internal Calculations 5. SOCIAL (total of 1) 5 Energy poverty 6. URBAN (total of 4) % of nZEBs, % of buildings compliant with PassivHausstds… 1256

  11. OptEEmAL: Decision-support tool for the design of energy retrofitting projects at district level 1 3.2 MULTI-OBJECTIVE OPTIMISATION ALGORITHM Step 2. Scenarios generation and optimisation Step 3. Data exportation Step 1. Data insertion and diagnosis 1 5 INPUT DATA / PROBLEM DEFINITION 2 BEST SCENARIO 4 ECMs DATA 3 3 BASELINE SCENARIO GENERATION SCENARIOS GENERATION 4 OPTIMISATION / EVALUATION 2 5 SIMULATION AND DPI CALCULATION DPIs DPIs Scenario 0 Scenario n 1256

  12. OptEEmAL: Decision-support tool for the design of energy retrofitting projects at district level 1 3.2 MULTI-OBJECTIVE OPTIMISATION ALGORITHM 2 3 USERS’ OBJECTIVES LAUNCH OPTIMISATION PROCESS + OBTAIN APPROPRIATE RESULTS ? 4 5 1256

  13. OptEEmAL: Decision-support tool for the design of energy retrofitting projects at district level 1 3.2 MULTI-OBJECTIVE OPTIMISATION ALGORITHM 2 Energy Conservations Measures-related Are there any limits that cannot be surpassed? e.g. Maximum budget, Maximum energy consumption, etc. 3 USERS’ OBJECTIVES LAUNCH OPTIMISATION PROCESS + OBTAIN APPROPRIATE RESULTS TARGETS BARRIERS 4 BOUNDARIES Enables to set priorities to indicators considered in the optimisation process. 5 PRIORITISATION CRITERIA District Performance Indicators-related 1256

  14. OptEEmAL: Decision-support tool for the design of energy retrofitting projects at district level 1 3.2 MULTI-OBJECTIVE OPTIMISATION ALGORITHM Pairwise comparison Defined by the user Pre-defined by the platform 2 Nearly-zero energy district Energy generation through renewables Environmental aspects … Up to 13 pre-configured pairwise comparisons 3 USERS’ OBJECTIVES LAUNCH OPTIMISATION PROCESS + OBTAIN APPROPRIATE RESULTS COST BENEFIT 4 5 PRIORITISATION CRITERIA Establish DPI weights District Performance Indicators-related 1256

  15. OptEEmAL: Decision-support tool for the design of energy retrofitting projects at district level 1 3.2 MULTI-OBJECTIVE OPTIMISATION ALGORITHM ECM CATALOGUE 2 3 USERS’ OBJECTIVES LIMITS, OBJECTIVES AND WEIGHTS LAUNCH OPTIMISATION PROCESS + OBTAIN APPROPRIATE RESULTS TARGETS BARRIERS 4 BOUNDARIES 5 PRIORITISATION CRITERIA 1256

  16. OptEEmAL: Decision-support tool for the design of energy retrofitting projects at district level 1 3.2 MULTI-OBJECTIVE OPTIMISATION ALGORITHM Scenario 2 Scenario 1 ECM CATALOGUE 2 3 LAUNCH OPTIMISATION PROCESS + OBTAIN APPROPRIATE RESULTS Obtaintheparetofront Etc 4 5 1256

  17. OptEEmAL: Decision-support tool for the design of energy retrofitting projects at district level 1 4. VALIDATION AT DIFFERENT TRL LEVELS TRL 6 TRL 7 2 3 4 5 1256

  18. OptEEmAL: Decision-support tool for the design of energy retrofitting projects at district level 1 4. VALIDATION AT DIFFERENT TRL LEVELS: Cuatro de Marzo (Valladolid, Spain) 2 3 4 5 1256

  19. OptEEmAL: Decision-support tool for the design of energy retrofitting projects at district level 1 4. VALIDATION AT DIFFERENT TRL LEVELS: Cuatro de Marzo (Spain) 2 3 4 5 1256

  20. OptEEmAL: Decision-support tool for the design of energy retrofitting projects at district level 1 5. CONCLUSIONS • OptEEmAL is a platform that combines: • District assessment • Multi-criteria decision analysis • Assesses a wide range of retrofitting solutions • Uses standards: IFC and CityGML • Generates scenarios automatically • This enables solving the most commonly encountered problem in retrofitting projects: finding the best retrofitting solution For more information please visit:https://www.opteemal-project.eu/ 2 3 4 5 1256

  21. Gema HERNÁNDEZ MORAL gemher@cartif.es 1256

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