Saving Costs through Operational Improvements · Delivery of final report 2 weeks Operational...

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Copyright 2018 Saving Costs through Operational Improvements

Transcript of Saving Costs through Operational Improvements · Delivery of final report 2 weeks Operational...

Page 1: Saving Costs through Operational Improvements · Delivery of final report 2 weeks Operational Improvements through Energy Savings Page 4. Driven by big data and AI, our smart energy

Copyright 2018

Saving Costs through Operational Improvements

Page 2: Saving Costs through Operational Improvements · Delivery of final report 2 weeks Operational Improvements through Energy Savings Page 4. Driven by big data and AI, our smart energy

Commercial and industrial buildings seek better energy management to improve operations and reduce costs

Challenges

Opportunities

Eligible Segments

ENERGYLOAD HUMAN RESOURCES EQUIPMENT

High quality standards & increasing amount of energy usage

Lack of understanding regarding energy spending & management

Inaccuracy due to traditional ways of managing energy

Lack of senior electric & HVAC engineers, as well as their high employment cost

High cost of maintenance & replacement

Lack of technologies to prolonglife cycle or improve ROI

Transparency over all of your energy data

Better utilization of engineers’ skills and talents while leaving manual tasksto a digital platform

Reduce unforcedmachine downtime

Real-time recommendations to recover energy losses Up to 50% cost saving from

human resourcesUp to 35% cost saving from diagnoses for key equipment

Up to 20% energy saving without retrofit

INDUSTRIAL COMMERCIAL PUBLIC+

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Page 3: Saving Costs through Operational Improvements · Delivery of final report 2 weeks Operational Improvements through Energy Savings Page 4. Driven by big data and AI, our smart energy

• Data quality analysis

• Data disaggregation

• Data filtering

• Data visualization

• Capacity management

• Predictive maintenance

• Load forecast

• Scheduling optimization and recommendations

• Data acquisition

• Gap analysis, e.g. hardware and software solutions

• Cost benefits analysis, e.g. estima-ted energy saving potential etc.

• Energy planning consultancy

We combine operations diagnostics, big data analytics,and unique AI capabilities to deliver actionable insights

FUNCTIONS

Data collection and ground-breaking data analysis algorithms to provide continuous monitoring

Recommendations and actionable insights for clients to manage their energy and cut down costs

Initial assessment through data analysis to help clients understand their energy, equipment, and space usage for potential

1 ASSESSMENT & DIAGNOSTICS 2 BIG DATA

ANALYSIS 3 DATA-DRIVEN INSIGHTS

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Initial diagnostics result in a gap analysis aimed at current energy consumption and possible optimization measures

1 We could recommend our trusted vendors Optimized energy consumption Current energy consumption

OBJECTIVES PROCESS

Electricity bills

1 Identify cost savings potential

Human resources costs Operation and maintenance costs

Improper use of equipment

2 Conduct root-cause analysis

Operator behaviors Mismatch of supply & demand

Hardware and retrofit1

3 Provide recommendations

Energy management system

Data portal review of BMS, SCADA, smart meters, engineering diagrams

Data cleaning and filtering

Utilization diagnosis of senior electric/HVAC engineers

Delivery of final report

2 weeks

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Driven by big data and AI, our smart energy management system enables you to see energy in greater context

DIGITALIZATIONCompatible withexisting systems Smart

Meters ComfortBehavior

DataWeather

DataSensor

NetworkLAN

We understand your systems and devices from rich experiences working with Siemens, Honeywell, Johnson Controls and other mainstream system integrators. Our solution requires little to none extra hardware, as it can be fully implemented by tapping into your existing systems.

SCADA PLC

LOAD MANAGEMENT EQUIPMENT HEALTH MANAGEMENT ENERGY MONITORING

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As a result, our solution generates actionable insights leading to real operational improvements and cost savings

CURRENT SITUATION

FUTURE SITUATIONReactionary control logic based on

less than 100 data points

Up to 500,000 data points

NILM data acquisition Data cleaning

Local control logic

Not predictive

Reliance on experience

Integrated global control, 5 – 20% energy saving

Predictive energy load and device performance (up to 35% cost savings)

Optimal scheduling in real-time and targeted recommendations

Weather forecast and indoor climate monitoring

User behavior and preferences

AI generated historic system feature & equipment model

Demand response

Load prediction

Our non-intrusive technology focuses on providing comfort, safety, and decreasing complaints leading to improved operations and overall satisfaction.

Added Insights

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We have a proven track-record delivering sizeable cost savings to international clients spanning various industries

Park Gross Area: 200,000 sq meters

Achievements• 57 recommendations per month on average• 1/3 of recommendations actually implemented• 8% energy saving, equals to 70,000+ USD per year

Achievements• 35% of the labor cost savings, worth 600,000 USD• 15% energy saving for HVAC, worth 360,000 USD• Predict the annual cooling consumption under full capacity,

help K11 reduce cooling costs. Estimated 20 million USD savings in 20 years by optimizing the cooling load purchasing contracts

Segment: Light industry, commercial & residential buildings

Peak Loading: 128MW

Annual Electricity Use: 768 million kWh/year

Hotel Gross Area: 69,901 square meters

Segment: Commercial buildings

Annual Electricity Use: 7,032,000 kWh/year

IHG Holiday Inn, Shanghai Guangzhou Landmark K11

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This unique software solution builds on our core consulting expertise to deliver key benefits to facility owners

Visualized reporting

Replaces need for annual energy audits

Fast Ramp-up

3 months on average to see tangible results

Platform and Equipment Agnostic

Seamless connection to any BMS as existing hardware is utilized to the maximum

Easy to Operate

Customer-centric solution with little training required

Low Risk and Cost Efficient

You only pay us if savings are identified and realised

Little to no Capex

Focus is on operational behaviour improvement

Autonomy

Owners maintain full control over operations and data

Non-intrusive

Installation requires no interruption of operation and service

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innogy Consulting’s rich utility expertise complements EQuota’s innovative software development capabilities

EQuotainnogy Consulting

Leveraging our Global Energy Network

100+ years as a leading European

utility

Dedicated Mgmt. Consulting Unit

IT – Software solutions & visual

display

OT – Operations and domain knowledge

AI – Self developed patent AI algorithms

We have a global reach employing 200+ consulting staff in 10 offices on 3 continents

Our clients benefit from our remarkable energy expertise derived from our parent company and consultants who specialize in the energy markets

We provide services ranging from corporate strategy through implementation. Our sub-practices provide leading expertise in Digital and Lean among others

EQuota has brought their solutions to 4 countries and 7 cities serving major international companies

EQuota has expertise in the entire industrial chaincovering both the energy supply, as well as the demand side

EQuota is founded by MIT alumni with key technology component incubated at MIT

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DISCLAIMER

All data collected by EQuota in connection with or arising from the provision of the services shall be owned solely and exclusively by our clients.