USING GIS (Geographic Information System)

TO MEET RENEWABLE ENERGY

AND TO FULFILL

THE BIM (Building Information Modelling)

IDEA

By. Hokkop Situngkir

Founder of IDNextLeader Foundation

Advisor for PT. Arenas

Advisor for PT. Daya Bumi Energi

Advisor for KUN Humanity System

Former Director of PT. Waskita Karya Energi

Indonesia in the Middle of Climate Change, Corbon Emission, Waste Crisis, and Forest Fire

Gambaran ratio elektrifikasi Indonesia 2019/2020

NASA : World at Night Portrait 2016/2017

Potential Distribution of Renewable Energy in Indonesia

Gambaran Saduran Proporsi Pembangkit EBT dan Non-EBT dalam Rencana Bauran Energi 56 GW, RUPTL PT. PLN 2018 – 2025 dan Kementrian ESDM EBTKE 2019

PLTA/M40% ≃ 6.000 MW

PLTP20% ≃ 3.000 MW

PLTS15% ≃ 750 MW

PLTBm10% ≃ 500 MW

PLTB15% ≃ 750 MW

PLTTd5% ≃ 75 MW

PLTU45% ≃ 20.227 MW

PLTU MT14% ≃ 6.445 MW

PLTG/MG/GU/MGU40% ≃ 17.931 MW

PLTD1% ≃ 36 MW

EBT

NON EBT

Total Pembangkit Tenaga Listrik

terpasang di Indonesia hingga

2019: 70 GW

Rencana pemerintah hingga

2025 menambah pembangkit

23 GW dengan 67% dari Fossil

Energy dan 33% dari Renewable

Energy

Dinamika Regulasi EBT dalam PERMEN tahun 2015-2020

PERMEN ESDM No. 4 TAHUN 2020

Kondisi Perizinan Indonesia Terkait Pengembangan EBT

Akuisisi Data Artikulasi DataAnalisis Data

▪ RGB [Red-Green-Blue]

Camera

▪ NIR Camera

▪ Crowd Source

▪ Apps

▪ Dashboards

▪ Cartography

▪ Spatial Statistics

▪ Automated Object

Recognition

▪ 3D Map / Contour

DIY and DIWODo-It-Yourself & Do-It-With-Others

▪ Memori Kolektif

▪ Dari ketidakpastianmenuju Potensi Presisi4.0

▪ Crowd Source

Potensi Energi

dalam Data

DATA SPASIAL & DATA ATRIBUT- Inventarisasi data- Analisis data- Informasi demografi- Konsep Perencanaan

RENEWABLE ENERGY

SOURCES

HYDRO

WIND

GEOTHERMAL

TYDAL

SOLAR

BIOMASS/WASTE to ENERGY

High tide dataTidal height measurementsWater Surface change data

River Flow Area and Sea Water MeetingRegion Electrification Ratio Data

Social Mapping

Countur MapsWind Direction Data Collection

Windrose ModelWind Flow Estimation

Compare to Climate DataRegion Electrification Ratio Data

Social Mapping

Countur MapsGeothermal data/Surface Heat

Volcano mappingGround level data

Region Electrification Ratio DataSocial Mapping

Region Electrification Ratio DataCountur Maps

Catchment Area/River Flow AreaCompare to Rain Station Data

Flow EstimationHead

Countur MapsCatchment Area

Plant Age and TypeRain Station Data/Climate change data

Thermal Data of Living ThingsRegion Electrification Ratio Data

Social Mapping

Countur MapsRadiation Intensity Data

Climate Change DataAngle of Light Falling dataRegion Electrification Data

Social Mapping

RENEWABLE ENERGY

SOURCES

COST ESTIMATIONDEVELOPMENT OF ELECTRICAL NETWORK INTERCONNECTIONS & DEMAND GROWTH SIMULATION

GIS meets BIM

GIS meets BIM (sampling on Hydro Power Plant)

Dalam Penyusunan Pra dan Feasibility Study diperlukan pembacaan dan akuisisi data yang komprehensif :- Titik lokasi dan koordinat, peta situasi- Mapping area lokasi, dari sisi waktu tempuh, jarak tempuh, jalan masuk dan area lokasi hingga ke mapping penduduk (sosial)- Gambaran Supply and Demand dan kondisi system interkoneksi PLN- Relasi dari pembangkit hingga ke supply GI ataupun GH bisa menjawab studi Interkoneksi dan studi Kelistrikan- Catchment Area di sepanjang DAS juga adalah sebuah hal yang mutlak secara data, dan bisa dikorelasikan dengan data climate dan juga curah

hujan harian- Jenis dan kondisi Catchment dari sisi planting wood, dan area batas hutan dan lain-lain- Kontur lokasi Catchment hingga detail kontur lokasi di titik pembangkit- Debit Rencana dapat diperhitungkan dengan integrasi data- Concept Design dapat dilakukan dengan mengacu pada variable Teknik yang bisa dimasukkan ke dalam platform design dan BIM- Volume pekerjaan secara estimasi juga bisa dilakukan dengan kolaborasi platform GIS dan BIM baik sebagai plotting design bahkan sampai ke

Estimasi Cost of ConstructionKombinasi GIS dan BIM ini bisa menghemat proses pembuatan FS hingga ke Konsep Design yang mengakibatkan adanya waktu yang efektif dan relative lebih singkat untuk mempercepat proses Perizinan. Dan dengan perizinan yang bisa dilakukan dengan konsep OSS diharapkan semua pekerjaanKonsultasi ini tidak memerlukan site visit dengan jumlah yang massif dan lain-lain. Konsultasi Teknik hanya diperlukan pada saat Detail Engineering Design

Platform yang digunakan :Google MapArcGISAutoCadWBS/CPM platformPlatform HidrologiPlatform EnergiDrone – Thermal type

USING GIS (Geographic Information System)

TO MEET RENEWABLE ENERGY

AND TO FULFILL

THE BIM (Building Information Modelling)

IDEA

TERIMAKASIH!!!

Location Intelligence for

Renewable Energy ResourcesSolution Strategist - Esri Indonesia

Session HighlightsLeveraging on location intelligence to uncover the potential of renewable energy resources

• Understanding the location and potential

• Leverage site suitability information

• Measure potential supply of a renewable energy resource (solar power case)

• Analyze variables predicting the potential of renewable energy resource (geothermal case)

• Monitor production and risk analysis in the project (geothermal case)

• Support stakeholders, break down silos, and enable efficient collaboration between teams

National Target Summary (Source: Kementerian ESDM Ditjen Energi Baru Terbarukan dan Konservasi Energi - EBTKE)

Solar PV added to the

installed capacity:

170 MWh

Increase capacity for

energy transition:

Decrease in coal, oil fuel and gas

Modeling Renewable Energy Potential Using GISBenefits of Renewable Energy

• Little to No Global Warming Emissions

• Improved Public Health and Environmental Quality

• A Vast and Inexhaustible Energy Supply

• Jobs and Other Economic Benefits

• Stable Energy Prices

• A More Reliable and Resilient Energy System

Union of Concerned Scientists: http://www.ucsusa.org/clean_energy/our-energy-choices/renewable-energy

1. Analysis on a local scale

2. Fine tuning of methodology

3. Broader analysis

Why GIS for Renewable Energy?GIS Utilization for Modeling Renewable Energy

Modeling Solar Power Potential

Modeling Solar Power PotentialLeveraging on location intelligence to uncover the potential of solar power

Leverage site suitability information with data enrichment: e.g.

NASA solar radiation global dataset, Population, Purchasing

Power, POIs

Modeling Solar Power Potential

• Create solar radiation layer (output in Wh/m2)

• Identify suitable rooftops for solar panel based on variable criteria

with default tools (slope, minimum solar radiation, building

orientation, rooftop size)

• Calculate usable solar radiation per building (Zonal Statistics)

• Convert solar radiation to potential power, account for energy

conversion efficiency (15%) and installation’s performance ratio

(86%) - US EPA

Leveraging on location intelligence to uncover the potential of solar power

Correlation Matrix of Geothermal Variables

ArcGIS

Correlation Matrix of Geothermal Variables Leveraging on location intelligence to analyze geothermal potential and energy production variables

• Enrich data with variables for analysis as attributes

• Call spatial and statistics libraries in R

• Calculate smoothed geothermal potential or energy

production rate in R (e.g. with Empirical Bayesian method)

and produce spatial output

• Execute hotspot analysis based on the rate calculated in R

• Create correlation matrix in R to evaluate attribute

relationships

Optimized hotspot analysis result

Correlation matrix result