Real Estate services firm Jones Lang LaSalle and the Better Building Partnership have formed a partnership to provide owners and occupiers in the UK with a single benchmarking system for comparing the environmental performance of their commercial property assets.
The BBP – which is a collaboration of the UK’s leading commercial real estate owners and investors – and Jones Lang LaSalle currently provide two of the UK’s largest environmental benchmarking initiatives for property investors. By joining their respective databases, a publicly available, asset specific, operational benchmark of environmental performance for commercial property in the UK will be created, based on the largest dataset in the UK, the organizations say.
The combined database will include approximately 500 retail and office properties, nearly 7 million sq ft., covering approx. 400,000 metric tons of carbon emissions.
Participating members will benefit from best practice tools and workshops, receive tailored reports regarding the performance of their own buildings, and understand the relative performance compared to the wider industry, helping them drive reductions across their own property portfolios. Over the past two years the collective portfolios of BBP members have reduced their associated carbon emissions by 8 percent, the organizations say.
Each year Jones Lang LaSalle and the BBP will publish up to date annual environmental benchmarks under the new name: Real Estate Environmental Benchmark. These will be based on actual operational data, giving property owners, managers and occupiers a reference point against which they can compare the efficiency of their own portfolio.
Earlier this month the Department of Energy launched a new Buildings Performance Database, the largest free, publicly available database of residential and commercial building energy performance information.
The database allows users to access energy performance data and perform statistical analyses on more than 60,000 commercial and residential buildings across the country, and new records are being added regularly.
The database includes buildings’ location; age; size and function; electricity and fuel consumption; equipment information and operational characteristics. The data can also be used to compare performance trends among similar buildings, identify and prioritize cost-saving energy efficiency improvements, and assess the range of likely savings from these improvements. An application programming interface will allow external software developers to incorporate analytical results from the database into their own tools and services.