ACCELERATING GREEN BUILDINGS DEVELOPMENT IN INDONESIA
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1 ACCELERATING GREEN BUILDINGS DEVELOPMENT IN INDONESIA MOHAMMED ALI BERAWI, M.Eng.Sc, PhD Jakarta Convention Center 9 November 2017
2 Background OUTLINE Green building Building design and construction Interior design and construction Building operational and maintenances Building Incentives
3 BACKGROUND (1): Environmental Aspect Using 40% of global energy Using 12% of the total supply of clean water Using 30% of resouces in the world Produce 40% of Green House Gas Carbon Emission 29,65 billion Tons (2007); Prediction: 42,4 billion Tons (2035) (Outlook, A.E, 2010) Alternative Solution: Source: IPCC Fourth Assessment Report on Climate Change 2007
4 BACKGROUND (2): Knowledge Aspect Number of Indonesian Construction Development LEED: 9 Office Buildings Greenship: 18 Office Buildings Green Mark: 5 Office Buildings Green Building certification just started in 2009 in Indonesia Relatively small numbers of green buildings in Indonesia Nama negara Number of Green Building in Some Contries Tahun penghitungan Jumlah gedung Rata-rata pertumbuhan (per tahun) US , Hongkong , Singapore , Germany India Malaysia Japan South Korea Israel Indonesia
5 BACKGROUND (3): Regional Aspect Indonesia : consist of more than Island, with population is 252 Million 1 Energy prices are relatively low, due to subsidies; 2 Lack of incentives for the implementation of resources conservation; 3 Lack of conducive funding mechanisms to implement building efficiency projects; Source: Director General for New Renewable Energy and Energy Conservation Ministry of Energy and Mineral Resources, Lack of public awareness to sustainability living;
6 WHY GREEN BUILDING Justification Rising water and energy costs Economic reasons Societal reasons Environmental reasons Environmental conditions Project-specific motives General drivers Client demand Rating tools & Education Upfront cost Green Building Lack of education + awareness Lack of cohesion Government Incentive Scheme Government regulation O B S T A C L E S Ambiguity on the Green Building RATING TOOLS (Jian Zuo & Zhen-Yu Zhao, 2014) Applying Green Building Concept takes a relatively longer in TIME (Nirmala et. al, 2014) Source: Green Building Market Report, 2007 Lack of knowledge to apply TECHNOLOGY to support Green Building achievement (Hamidi, 2010) Green Building Investment is relatively high COST (Jef Franklyn Sinulingga, 2012; Luay & Kherun, 2016) Lack of KNOWLEDGE for modeling and integrating Green Building Rating Tools criteria (Nirmala et. al, 2014)
7 InPres No. 13/2011 Energy and Water Saving PerPres No. 61/2011 tentang National Action on Mitigation of CO2 Emission GREEN BUILDING: Legal aspect PerMen ESDM No. 18/2014 on Labeling for CFL PerMen ESDM No. 19/2014 on Electricity Tariff GR No. 79/2014 on National Energy Policy & GR No.70/2009 Energy on EC 2011 PerMen ESDM No. 13/2012 on Electricity Saving PerMen ESDM No. 14/2012 on Energy Management PerMen ESDM No. 15/2012 Water Saving PerMen ESDM No. 01/2013 on Fuel Saving KepMen ESDM No. 4051K/07/MEM/2013 on Catur Dharma Energi Governour Regulation (DKI Jakarta) No. 38/ 2012 on Green Building PerPres No. 38/2015 on Cooperation Government - Private on Infrastructur e (Including EC) PerMen ESDM No. 7/2015 on MEPS & Label for AC KepMen Menpower No. 80/2015 on National Competence of Energy Manager forindustry and Building Ministry Regulation (PUPERA) No. 02/PRT/M/2015 on Green Building
8 Researched by: Y. Latief, M. A. Berawi, V. Basten, R. Budiman, 2017 Comparison of some Green Building Rating Tools in the world Evaluation of Green Building Design & Construction in Indonesia Energy Efficiency & Conservation: Major priority in many countries rating tools Energy Efficiency & Conservation: Major priority and the biggest initial cost needs in Indonesia
9 The HIGHEST concerning on green building design in INDONESIA Energy Efficiency & Conservation Thermal Natural lighting transmission Energy use Electricity plan HVAC system recorded Other/ Additional Aspects Improving function Utilization environment Room space efficiency Life cycle cost review Building strategies access Appropriate Site Development Pedestrian Storm water management Kind of vegetation Railway/ bus station Landscape area Public facility Water Conservation Water harvesting Recycle water Indoor Health & Comfort Acoustic level Thermal comfort Reuse water Chemical pollutants Tobacco control Material Resource & Cycle Green certificate material Prefabrication material Building Environmental Management Waste management Flood control O 3 depletion control Commissioning Façade integration Building review Source: Y. Latief, M. A. Berawi, V. Basten, R. Budiman, 2017
10 Researched by: M. A. Berawi, Filly. N, 2017 SIWD process SIWD Elements Activity needs and site analysis Room program Architectural design (Iteration) IoT Design Thermal comfort Day lighting MVAC Lighting Facade Workspace Occupant behaviour Room organization scheme Conseptual design Energy Efficiency: Automated control Building
11 Energy optimization result: 18% more efficient than baseline Source: M. A. Berawi, Filly. N, 2017
12 Functional Planning Spatial Quality Aesthetic Design Source: M. A. Berawi, Filly. N, 2017
13 Structural System Material Technological System Source: M. A. Berawi, Filly. N, 2017
14 Researched by: M. A. Berawi, V. Basten, 2016 Cost Breakdown Structure Life Cycle Assessment Diagram
15 X Variables Y Varibles (Cost) Energy and water Efficiency toward IRR Advance Windows (Low E Glass) Windows Overhangs (Sun Shading) High Efficiency Appliances (Chiller in HVAC System) NPV of initial cost, efficiency results, and salvage value BCR and payback period High Efficiency Light (LED) Water Pump (Variable Pump) Renewable Energy (Solar Cell) Source: M. A. Berawi, V. Basten, 2016
16 Cost Optimization of Near Zero Energy House Design Using Genetic Algorithm Researched by: M. A. Berawi, A. Bintang, 2014 Building orientation (azimuth) towards North 0 0 (X 1 ) Variables Algorithm Optimization Process Building simulation PV Panel (X 2 ) Life Cycle Cost nzeh (Y) Data base Algorithm parameter and variable of design definition Optimization iteration Simulation results, interpretation, and fitness Penetration (door and window) (X 3 ) Convertion & representation Simulation file
17 Azimuth oreientation effect Result WWR effect Windows glass effect Optimum design of NZEH Source: M. A. Berawi, A. Bintang, 2014
18 POLICY BUILDING INCENTIVES SYSTEM DEVELOPMENT TO PROMOTE GREEN BUILDING POPULATION GROWTH Researched by: M. A. Berawi, P. Santi, v. Basten, 2017 Types of Green Building Incentives Construction Phase and Green Building Incentives timeline
19 CONCLUSION Accelerating the growth of green building - Building Incentives System - Life Cycle Costing for Buildings Projects - Design Optimization - Sustainable Development: Renewable and Efficiency - Smart City: Improving quality of life
20
21 Short Profile Dr Mohammed Ali Berawi Dr. Mohammed Ali Berawi is an associate professor at department of civil engineering, Universitas Indonesia. He has extensive research experience regarding value engineering and innovation in infrastructure, construction, and manufacturing industry. Dr. Berawi has been involved in many national and international research collaborations and consultancies. He has been listed by Webometrics as one of the Top Scientists in Indonesia ( ), and his biography featured in the 24th edition of Who s Who in the World. Dr Berawi was appointed as Lead Advisor to the Republic of Indonesia s Ministry of Transportation (2012), Executive Director of CSID (2014), Director of Directorate of Research and Community Services at the University of Indonesia (2015), and currently serves as Chairman of Standing Committee on Infrastructure Strategic Policies for Indonesia Chamber of Commerce (KADIN Indonesia).
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