A cooperation of PRIME Consultancy and IS Predict

Transcription

1 A cooperation of PRIME Consultancy and IS Predict Jochen Sautter, President Director PT PRIME Consultancy Energy Efficiency and Renewable Energy Solutions for Buildings Opportunities and Development in Indonesia, Pullman Thamrin, Jakarta, 31st May 2016

2 1. PRIME Consultancy & IS Predict 2. Reaching out beyond Classic Energy Audit 3. Continuous Improvement with IS Predict 4. Examples and Implementation 1

3 Founded in 2011 in Jakarta Focused on consulting services for foreign companies managing startups in Indonesia Functioning as Company Representative in selected markets including the sustainable energy sector Excellent knowledge of the German and Indonesian markets 2

4 Founded in 2010 in Saarbrücken, Germany as a Subsidiary of IDS Scheer Winner of several innovation awards Big data solutions with a focus on energy efficiency Self-learning algorithm detects and erases inefficiencies Predicts future energy demand and actual maintenance needs 3

5 Energy audits are very effective for large-scale energy consumers: E. g. office buildings, apartment buildings, hotels, malls, production facilities, research facilities, The building s energy flows and machinery are being inspected to detect inefficiencies Energy efficiency can increase substantially by minor or major one time adjustments Eventually, inefficient machinery may be replaced and runtimes adjusted in order to reduce the electricity bill 4

6 5-star hotel (similar to Mall & Office Buildings): Implementation of independent chiller system Installing / fixing the inverter, the motorized valve and the Building Automation System Improving the Power Factor Savings of around 200 million IDR per month Industry: Elimination of energy leakage Replacement of inefficient motors (ROI only 15 months) Improving power factor 5

7 Conventional Energy Audit Progressive Energy Management Management by experience Identification of needs for immediate corrective action Product maintenance intervals based on life time or manufacturer recommendations Energy audit effects often lasts for only a short term Maintenance based on actual wear-and-tear Continuous measurement and analysis of energy data 6

8 IS Predict can be understood as an ongoing audit Not only energy efficiency but also optimizations such as dynamic maintenance cycles can be realized Energy consumption in complex systems is non-stop measured Influencing factors form within and outside the system are analyzed Future energy demand is predicted Anomalies are detected Processes constantly improving due to self-learning algorithm Constant, dynamic auditing 7

9 Required skill level How to continuously improve? Self-learning Analysis Adaptive Control What should be done? Prescriptive Analysis Intelligent Control What will happen? Predictive Analysis Forecast Why did it happen? Diagnostic Analysis Data Mining What has happened? Descriptive Analysis Dashboards & Reports Source: Based on Gartner Research Inc. Benefit for business 8

10 Energy use reductions are measurable and understandable Documentation itself can already reveal basic potentials for energy savings Prediction of future energy use helps determine the amount of energy demanded from energy suppliers Software recommends optimization of processes Software helps to determine maintenance cycles Funds for energy saving investments are easier to acquire when the baseline of energy use is known and future reductions are measurable Low investment cost and quick return-on-investment 9

11 Objective: Run R&D building incl. laboratories and e-cars with locally generated electricity only (PV / CHP). Original load profile: High electricity demand from external grid Optimized load profile: Demand is covered by local generation Problem: Demand of consumers does not match with electricity supply. Much power required from external grid. Solution: Forecast of power generation and consumption, predictive control of energy flows incl. battery. In this way, power demand can be covered only by locally generated power, without having to change behavior of consumers (laboratory, building, e-cars). PREDICTIVE INTELLIGENCE realizes 0% usage of grid electricity without limitations in consumers` behavior 10

12 Problem Approach Optimization Powerful Solution Rooms are not used for hours / days during irregular time periods. However, energy is wasted to keep those rooms on temperature as if someone is staying in. Reduce heating / cooling of a room when it is not used for several hours Reduction unnoticed by guest! He still feels comfortable. Have rooms automatically allocated to guests also considering energy efficiency. Analysis Future weather Room behavior in heating up / cooling down Guest behavior in being in / out of the room Leading hardware and automation Innovative analytics and predictive control Savings Up to 10 % Up to 10 % Up to 10 % 11

13 Define scope (1 day) Define objectives for optimization Select process/es Define use cases Prioritize use cases Define relevant / available data Analyse data initially (2-5 days) Define rough process Make relevant data available Structure process and data Create initial meta model Assess data for prioritized use case Create prototype (x days) Make data available Integrate data into Resource Intelligence Define and calibrate meta model Assess influencing factors Analyze correlations and patterns Adjust prediction algorithms Customizing (x days) Software implementation Business enhancements Technical enhancements Finalization of algorithms Compare results Go live (x days + license) Total time frame can vary from project to project 30 days in total should be expected Visualize results 12

14 Big data solutions need big data! A certain amount of data points and long-term data recordings are essential for good results: Internal Factors: i.e. Energy consumption/wattage per consumer Operation Programs: i.e. Run-times, Temperature Targets External Factors: i.e. Population behavior, climate changes Documentation of the electrical consumers is required in order to predict their energy demand Central control via BAS is essential Electricity tariffs management is needed in case of different prices at different times 13

15 Jochen Sautter HP: PT PRIME Consultancy Alamanda Tower, 23 rd Floor Unit B, Jl TB Simatupang Kav Jakarta Indonesia 14