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Smart Building Control David McEwan

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1 Smart Building Control David McEwan

2 Tick Tock Today, roughly half of the world’s population lives in urban areas - consuming two- thirds of total primary energy generating over 70% of global energy-related CO2 emissions. By 2030 it is estimated that around 60% of the world’s projected 8.2 billion people will be housed in cities. This means that residents who live and work within a city will consume around 75% of the world’s annual energy demand.

3 Who are IES? World leaders in energy simulation and HVAC optimisation software, our state-of- the-art technology can help improve the efficiency of a building through it’s entire lifecycle. Our unique and innovative solutions provide next generation HVAC analysis and asset management. IES founded in June 1994 World HQ office in Glasgow, Scotland Regional offices in UK, Ireland, USA, Canada, India & Australia Global leading software used in over 130 countries International sustainability Consultancy services 25% of expenditure on R&D – as an SME >>>>>>>>>>>>

4 Core VE Technology

5 The Smart City Lifecycle

6 R&D Projects Overview

7 Achievements already Example 3D Model of City of San Francisco – PV solar potential kWhr/m2

8 Building Data Analysis Annual Heat map plots Big data analysis Compare years of 30 Minute electricity and gas meter data

9 District Heating Feasibility The heating profiles for each building are combined into one heating profile The XY-plot to the left (bottom) illustrates the annual instantaneous peak loads on a half hourly basis based on the same data. Max load is 2308 kW at December 27th.

10 PV Feasibility Model predicts solar intensity on roofs Installation of PVs the resulting annual electricity consumption amounts to: - 1,500 m2: 122.1 MWh (54% reduction) - 2,000 m2: 72.9 MWh (74% reduction)

11 Model Based Analytics – Plant Sequencing Compare Real vs Predicted Performance Plant sequencing predictions: Boilers Retrofit Investment appraisal Ability to assess multiple measures concurrently Use building load profile to consider different boiler sequencing options with IES VE-Pro and HVAC analysis The same approach can be used for chillers

12 Thank You IES – Stand 10 David McEwan

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