HOW INTELLIGENT AND ADAPTIVE LIGHTING IS DRIVING MODERN LIGHTING PROGRAMS

HOW INTELLIGENT AND ADAPTIVE LIGHTING IS DRIVING MODERN LIGHTING PROGRAMS Will Gibson Brisbane March 2017 12 April 2017

TELENSA AT A GLANCE leader in connected #1World street lighting Headquarters Cambridge, UK Atlanta, US Singapore > 1 MILLION connected streetlights > 60 networks 10 YEARS of deployment experience UNB ROI IoT the most scalable and cost-effective wide-area connectivity for things solution pays for itself with a proven business case simple platform to add smart city sensing and control apps

THE SMART LIGHTING, SMART CITY TIMELINE 2020 Integrated smart cities fully integrated applications bringing wide society benefits 2017 Smart cities additional applications using the lighting column 2011 Smart lighting dimming, switch over to LED, energy savings 2006 Smart lighting simple switching and maintenance savings (HID lighting)

SMART LIGHTING WHY, WHO FOR, AND WHERE? Purpose > Control > Monitoring & maintenance > Energy measurement > Smart cities, smart grid Stakeholders > Councils & citizens > Utilities > Contractors > ESCOs There are different emphases of purpose for different stakeholders and in different geographies

CASE FOR LEDs - EASY > Improving performance > products for road types > Decreasing prices > Gives typically > 60% energy savings > Payback ~ 5 9 years So simply down to available funding So simply down to available funding

SMART STREETLIGHTS: THE ANALYST VIEW Combined cumulative LED and networked streetlight market value (not including installation) By 2026: > 89% of 359m (319m) streetlights will be LED > 42% (151m) will be networked smart streetlights a $12.6bn market by 2025 Source: Northeast Group, llc (October 2016): Global LED and Smart Street Lighting: Market Forecast (2016 2026), Public Outdoor Lighting Marketw

THE WORLDWIDE WAVE IS UNDERWAY Source: Northeast Group, llc (October 2016): Global LED and Smart Street Lighting: Market Forecast (2016 2026), Public Outdoor Lighting Market

GUIDANCE FOR ADAPTIVE CONTROLS UK US

CONTROL Three time dimensions 1. Scheduled night time > Switch on/off > Dimming > Trimming 2. Lifetime > Constant light output > Lighting design variations 3. Override > Dynamic dimming (sensor and app-data driven) > Events (festivals, venues) > Emergencies.and arriving now 4. For smart cities multi-media > Colour > Audio > Entertainment, announcements > Signs > Displays 5. For Utilities smart grid > Demand response > Grid-Interactive Water Heating (GIWH)

DIMMING Fixed driver > conservative > expensive to change > limited precision Controls enabled flexible, can experiment can be dynamic e.g. to traffic flow precise timings

DIMMING Fixed driver > conservative > expensive to change > limited precision Controls enabled flexible, can experiment can be dynamic e.g. to traffic flow precise timings Further savings

TRIMMING - FINE TUNING SWITCH ON OFF > Trim burning hours > turn on later > turn off earlier > Set LED to switch on as ambient daylight falls no sooner than necessary for lighting to meet standard > Savings compared to legacy photocells, time switches

CONSTANT LIGHT OUTPUT Compensate for lumen depreciation & luminaire dirt build up ( maintenance factor ) i.e. avoid over lighting: dim up over time 15% depreciation implies potential for 7% saving 6% maintenance factor implies potential for 3% saving ~ 10% savings over all ahas a siofsd

CONTROL: DIMMING & TRIMMING IS REAL

CONTROL: MAKING IT DYNAMIC for V category roads > set scheduled dimming, then override according to traffic flows > moving average vehicle counts e.g. over 10 15 mins > more localised and more immediate control, in response to individual movements

CONTROL: MAKING IT DYNAMIC

EXAMPLE APPLICATION: TRAFFIC COUNTING AND ANALYTICS System deployed with BT and Suffolk County Council > > > Traffic flow based dimming Air quality monitoring Information Information available in PLANet How it works > > > > > > Camera captures traffic video Edge video processing derives traffic count and mix BT Data Hub presents traffic data in standardised Hypercat format PLANet algorithm decides whether to dim the highway lights Energy savings 30%, in addition to switching to LED Traffic mix data available to assist in urban planning Traffic speed and sound

MONITORING AND MAINTENANCE See faults remotely > real time alerts > histories Better diagnostics > scheduling repairs > avoid wasted truck-roll Improve service > reduce repair times > show faults on public websites Performance monitoring > are the lights performing to vendors specs? > is the contractor installing / repairing to KPIs? > are the correct wattage LED luminaires being installed in the right locations? For utilities > Distribution network monitoring > supply voltage every 30m

DETAILED DIAGNOSTICS

ENERGY MEASUREMENT Unmetered > look-up tables for fixture W and hrs Ʃ (W x hrs) x Quasi-metered > CMS daily event log > timestamp; % power Metered > aggregate node meter chip Wh

ENERGY MEASUREMENT For councils > Know your true energy consumption > Negotiate with your utility For utilities > Know their true energy consumption > Negotiate with your council knowledge is power > Accurate energy measurement is in the interests of both parties > Paves the way for Time of Use, Metered billing If you can t measure it, you can t manage it For ESCOs (EPC Energy Performance) > Evidence of before & after energy savings are basis for being paid Also for utilities > Recognise energy theft

NEW OPPORTUNITIES AND BUSINESS MODELS Stakeholder Opportunity/risk Response Council Street light asset value Smart cities new citizen engagement (Poles rental to telco s for small cells) Utility LED reduces energy revenues Build the lighting network and sell smart cities applications and services Contractor LED reduces maintenance revenues Offer lighting as a service i.e. manage the smart controls network ESCO LED replacements low risk Safe returns i.e. attractive to investors

GEOGRAPHIES One electricity network to all properties and street lights Street lights on separate, dedicated cabling, cabinets Gradual move from group to individually switched for higher wattages > Limited ability to dim LED unless individually controlled > Declining interest in power line controls Off grid > totally e.g. solar in developing world > partially energy harvesting and using locally stored electricity to avoid peak rate Singapore > Both cabinet and individual control & monitoring India > some of India s 30m LED replacement to have group control > Very few will have individual control

SMART LIGHTING AS ENABLER FOR SMART CITIES Paid-for by smart lighting business case Low bandwidth network > Most sensors and actuators > Video with edge processing Requires additional investment High bandwidth network > Live video feeds > Wi-Fi services Sensors attached to light pole > Power and data available > No site acquisition cost Distributed sensors > Battery power costs > Site acquisition costs Vertical application > Meets a business need > Known stakeholders Platform and components > System integration costs > Longer project timescale

SUMMARY Purpose > Control > Monitoring & maintenance > Energy measurement > Smart cities, smart grid Stakeholders > Councils & citizens > Utilities > Contractors > ESCOs There are different emphases of purpose for different stakeholders and in different geographies

Will Gibson wg@telensa.com 12 April 2017

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