from primitive to connected building cre&more ifma_realty 19-05-15

© copyright CRE & More, Zeist # 1

From Primitive to Connected Buildings

Considering the impact on FM

Jos Teunissen, May 19th 2015

[email protected]


Introduction

• CoreNet

• Me

•  Three take aways:


Business Drivers


A.H. Buckman M. Mayfield Stephen B.M. Beck , (2014),"What is a Smart Building?",


Definitions


Definitions

•  Intelligent Building •  “A building which totally controls its own environment” (Stubbings, 1988)

•  “A dynamic and responsive architecture that provides every occupant with productive, cost effective and environmentally approved conditions through continuous interaction among its four basic elements: places (fabric; structure; facilities); processes (automation; control; systems) people (services; users) and management (maintenance; performance) and the interrelation between them.” (CIB, 1995)

•  “Is one that is responsive to the requirements of occupants, organisations and society. It is sustainable in terms of energy and water consumptions besides being lowly polluting in terms of emissions and waste: healthy in terms of well-being for the people living and working within it; and functional according to the user needs.” (Clements-Croome, 2009)

•  Smart Building •  “Smart Buildings are buildings which integrate and account for intelligence, enterprise, control, and

materials and construction as an entire building system, with adaptability, not reactivity, at the core, in order to meet the drivers for building progression: energy and efficiency, longevity, and comfort and satisfaction. The increased amount of information available from this wider range of sources will allow these systems to become adaptable, and enable a Smart Building to prepare itself for context and change over all timescales.” (A.H. Buckman M. Mayfield Stephen B.M. Beck , 2014)


Intelligent versus Smart

Design: Dieuwertje Molenaar, Zeist 2015


A.H. Buckman M. Mayfield Stephen B.M. Beck , (2014),"What is a Smart Building?",


Connected Buildings


Smart Grid

Cisco Inc.


Big Data


Big Data & Analytics


Big Data & Analytics •  Big Data

•  Volume •  Velocity •  Variety

•  Data gathered from multiple sources •  Building systems; •  The internet; •  Business systems like ERP/FMIS/IWMS; •  External reports; •  BIM; •  GIS

•  Data connections are made to go from data to information to decision support

•  Advantages:


Business analytics by application type

•  Visualization and dashboards provide the simplest level of analysis by displaying data in various formats but leaving the actual analysis to the person viewing the data.

•  Alerting provides role-based alerts, often in the form of text messages or emails, based on rules for analyzing the data.

•  Scorecards and benchmarks provide a comparative analysis of financial and operational data to set performance goals and measure progress.

•  Predictive analytics and optimization provide the capability to predict future trends and behavior patterns or to optimize the performance of a process or an asset.

IDC Energy Insights, Big Data and Analytics for Smart Buildings


Business analytics by value provided to the business

•  Managing operations and maintenance expenses helps reduce facility maintenance costs, improves workforce efficiency, and reduces energy costs.

•  Managing capital expenses helps extend equipment life, evaluate investment opportunities, and forecast future capital requirements.

•  Complying with regulations and profiting from incentives ensures ongoing compliance with changing government regulations and codes and also ensures maximum benefit from government and utility incentive programs.

•  Maximizing tenant/occupant (customer) value supports sustainability strategies, ensures occupant comfort and safety, and provides useful information to tenants/occupants.

IDC Energy Insights, Big Data and Analytics for Smart Buildings


Teaching a monkey a trick?


Building Selection Phase •  Understand building type and

consequences of either •  Match organization ambitions with

building

Contract Phase •  Assure contract reflects specifics •  Look at Total Cost of Occupation

instead of price per sq.mtr. •  Create an SLA with Building

Management Company

Facility Management Role


Occupation Phase •  Get proper training on use bulding

systems •  Use available smart systems for

maximum comfort, maximum efficiency, minimum costs

•  Adjust existing processes to fit with buiding possibilities and restrictions

Fit-Out Phase •  Work with building owner to assure

best possible use of smart installation

•  Include IT from the start for enterprise integration

•  Use vendors and materials that fit with organization ambitions

Facility Management Role


Gradations of systems integration

BUILDING SYSTEMS ICT SYSTEMS BUSINESS SYSTEMS

ICT

BMS, CCTV, Access Control, Lighting Control,

Intruder, Fire, etc.

Voice, Data, Video, Internet, E-Mail, IP-Based

Applications

ERP, MRP, CRM, SAP,

Oracle, SAGE, Coins

“business performance” through enterprise integration

INTEGRATED BUILDING

MANAGEMENT

INTEGRATED COMMUNICATION

S

INTEGRATED BUSINESS

PROCESSES ICT

“building performance” through systems integration

Intelligent Buildings / © Martijn Moerbeek (2010)


Enterprise Integration and Facility Management

IPSO Alliance, Introduction to IP in Commercial Buildings

FM users


Become IT Savvy

•  Skills •  Privy to technological developments •  Insight in IT infrastructure and software •  Aware of main vendors •  Informed about building systems and technologies •  Able to articulate requirements for FMIS •  Able to have an informed debate about possibilities

integration Business Systems, Building Systems and ICT Systems

•  Speak the language:

Bits & bytes, Cat-6, router, server, HD-card, firewall, frecon, UPS, Hadoop, NonSQL, IoT


Results


Comfortable?

from primitive to connected building cre&more ifma_realty 19-05-15

Leadership & Management

copyright cre

smart building smart

operational data

building progression

smart design

connected buildings

entire building system

business analytics