Marconi House is a Grade II listed building in the Westminster local planning authority area, England. First listed on 1 December 1987. Office. 14 related planning applications.
Marconi House
- WRENN ID
- twisted-railing-russet
- Grade
- II
- Local Planning Authority
- Westminster
- Country
- England
- Date first listed
- 1 December 1987
- Type
- Office
- Source
- Historic England listing
Description
Marconi House is an office building dating from 1902-03, designed by Norman Shaw with Runtz and Ford. It forms part of the original Gaiety Theatre development and was initially the Gaiety Restaurant. An attic storey was added in the 1950s. The building is constructed of Portland stone with slate roofs and represents a restrained classical style influenced by Shaw's design principles.
It is six storeys high, plus the later attic, and has nine windows facing the Strand, with a cranked return to Montreal Place, and five windows facing Aldwych. The ground floor features a rusticated arcade with mid-20th century glazing and doorways. The upper storeys are framed by rusticated quoins. The first floor has alternating pedimented windows within aedicules. Above the first floor, the facade is largely plain until the fifth floor, which is treated as a frieze with windows set between sculpted panels of standing figures, below a modillion cornice. Similar details are found on Montreal Place, where part of the original dormered attic remains, and on the Aldwych front, where the first-floor aedicules are framed by Ionic columns. Marconi House represents an early and influential phase of building within the Aldwych area.
More on this building
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- Full EPC report — heating system, energy costs, size, glazing, construction etc.
- Sale history — 90 transactions since 2013
- Related listed building consents — 14 applications
- Detailed attributes — period, style, materials, features
- Flood risk assessment
- Radon risk assessment
Matched applications, energy data and sale records are assembled automatically and may contain errors. Flag incorrect data.