The purpose of this Guidance Note is to provide asset managers, property managers and facilities managers with information about the automation of property level data in relation to sustainability.
Technological advances have increased the extent to which data can be automated and used to support monitoring, management and reporting of a property’s sustainability credentials.
Alongside this enhanced capability, there is greater demand for automated sustainability data by the range of property stakeholders. This demand has arisen from, for example:
A number of potential benefits can result from increasing the automation of property level data. For example:
A number of potential lost opportunities can result from failing to increase the automation of property level data. For example:
The table below summarises the key activities associated with automated property-level data, and highlights where asset managers, property managers and facilities managers are likely to have a responsibility or specific interest.
Step 1: Review the role of property managers in facilitating automated data
Step 2: Consider the applicability of different automated data types
Step 3: Understand the process flow for automating property data
Usually, the decision to invest in automated property level data is taken by an asset manager. The process of collecting and using property data is co-ordinated by a property manager within input from a range of property stakeholders.
The following elements should form part of considerations regarding the development of property-level data:
There are a range of important roles that a property manager can undertake in relation to automated property level data. These include, for example:
It is important that asset, property and facilities managers invest time to review the different types of automated data that could be adopted for a property. There are a range of property data types that can benefit from automation, for example:
It is important that asset, property and facilities managers invest time to understand the process flow for automating property data.
This relates to taking an holistic and strategic approach to the use of data in managing the sustainability performance of a building, and considering how data is, and could potentially become, integrated into the property management operations and supply chain.
The process for automate data within a property, either for the first time or when reviewing existing practices, should consider the following elements:
Systems and financials.
Contracts and processes.
The following Guidance Notes contain related information:
BBP members Canary Wharf Group, Land Securities, M&G Real Estate, TH Real Estate, The Crown Estate and Transport for London are all using Demand Logic’s system to improve building performance. The Demand Logic system collects data through the Building Management System (BMS) and analyses it, producing simple graphics and tables, which help building teams identify potential operational improvements. By making HVAC and meter data immediately accessible via a familiar social media tool, these BBP members are improving energy efficiency, increasing comfort levels, saving on maintenance time, reducing energy bills and cutting CO2 emissions. Read the case study here.
In 2016, Hermes Investment Management partnered with managing agent JLL and sustainability consultant Carbon Credentials to implement the Collaborative Asset Performance Programme in two high energy-consuming assets, 2 Cavendish Square and 8-10 Great George Street. This programme focuses on optimising technology and engaging with stakeholders to reduce energy use and improve conditions for occupiers. Following the success of the pilot, Hermes is now rolling it out to a further 12 high-consuming properties. Read the case study here.
To cut energy costs, reduce CO2 emissions and improve power quality for occupiers, the Schroder UK Real Estate Fund has installed voltage power optimisation technology in three of its multi-let office buildings. This equipment regulates and conditions the voltage on the main incoming electricity supply, eliminating excess voltage, triple harmonics and spikes. For many commercial buildings, it offers a simple way to reduce energy consumption across all electrical equipment and appliances. Informed by the results of the initial rollout, the Fund is now exploring opportunities in some of its other assets. Read the case study here.
As part of its dedication to giving customers perfect working environments, Workspace trialled a bespoke Soft Landings approach at one of its newest developments, Brickfields in Hoxton. This smoothed the transition from design and construction, through to operational performance for customers. A three-year aftercare process is now set to close the gap between predicted and actual building performance, maximising efficiency, reducing energy costs and cutting carbon. Read the case study here.
In 2019, Savills piloted an evidence-based approach to improving indoor air quality in central London offices. The team aligned their approach with RESET™ Air – Core and Shell, a globally recognised standard. They installed RESET-accredited sensors in a multi-occupied building on a busy road and monitored performance against RESET targets. This yielded useful insights into air quality and empowered the building team to take action to improve performance. Read the case study here.