Exploring Deep Renovation Strategies for the Belgian Building Stock
This research project focuses on evaluating the retrofit potential in Belgian buildings, the state of the renovation market, stakeholders involved, barriers to increasing retrofit rates, and strategies to enhance retrofit rates. Expected results include building models, stock evolution simulations, and action plans. The project is organized into phases such as literature review, influence factor analysis, building modeling, simulation, and validation.
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Modelling of long-term deep renovation strategies for the Belgian building stock Fig. 1: UE objectives for 2020 and 2030 (UE, 2015) 100% Student: Guirec Ruellan Tutor: Prof. Dr. Shady Attia Sustainable Buildings Design Lab University of Li ge 75% Present 50% 2020 25% 2030 0% Greenhouse Gas Emissions Energy efficiency Renewable energy Fig. 2: Final energy use for residential sector (TOE/per.) (Eurostat, 2015) Fig. 3: Renovation and new construction rates in Belgium per year (DGSIE, 2015) New constructions Renovation Tendancies 1.3% 1.2 Belgium UE 28 1 1.0% 0.8 0.7% 0.6 0.4% 0.4 1996 2002 2008 2014 2020 1996 1990 2002 2008 2014 1 Ruellan G. 28.04.16
Retrofit issues and research goal Fig. 4: Retrofit Issues Restrict urban sprawl Respect heritage Protect natural resources Achieve new standards Save energy Reduce GHGE Retrofit Enable maintenance Improve comfort Energetic independence Use local employment Research goal : Evaluate long-term deep retrofit strategies before implementation to gain time, money and energy. 2 Ruellan G. 28.04.16
Objectives of the research What is the retrofit potential in Belgium buildings ? What is the state of the renovation market in Belgium? Who are the different stakeholders in renovation? What are the barriers to the increasing of retrofit rate in Belgium? What are the practical / theoretical strategies to increase the retrofit rate? What are the factors influencing the retrofit rate ? What is the most suitable strategy to increase the retrofit rate in Belgium ? 3 Ruellan G. 28.04.16
Expected results Building model Existing Building Stock type 1 Retrofit potential Characteristics type 2 type X Fig. 5: Models for the building stock Building model Building stock evolution Output Simulation Input Influence factors Fig. 6: Simulates Influence Factor effect Building model Expected Building stock evolution Output Simulation Input Action Plan Fig. 7: Create and validate an Action Plan 4 Ruellan G. 28.04.16
WP 1 : Investigations / State of the art Literature review Interviews and survey Organisation WP 2 : Influence Factors WP 3 : Buildings model IFs identification Classification of buildings IFs in different cases study Comparison of potential IFs effect comparison Model creation WP 4 : Simulation of the interactions IFs effect on model Simulation Improvement WP 5 : Validation / Practical use Tests and evaluations research project Fig. 8: Organisation chart of the Future improvements Action plan 5 Ruellan G. 28.04.16
Originality and Discussion No binding long term renovation strategy and target for renovation for the Belgian building stock. Development of a multi-criteria model (economic, ecological, comfort), allowing the development of a strategy with renovation target priorities. The action plan and building stock classification developed by this research will enable the institutional policy makers and investors to bring the entire Belgian building sector up to nearly-zero standard by 2050. The research will help in the formulation and implementation of an effective long-term policy and legal framework for the achievement of the EU 3% renovation rate objective. Thank you for your attention 6 Ruellan G. 28.04.16
